{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Predicting Popularity on Spotify" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This example uses the publicly-available Spotify from Kaggle to predict the popularity of Polish songs and artists on Spotify. We'll also use a model to group artists together based on how similar their songs are.

You can download the Jupyter notebook of this study here.\n", "\n", "The \"tracks\" dataset (tracks.csv) have the following features: \n", "\n", "\n", "Numerical:\n", "\n", "\n", "Dummy:\n", "\n", "\n", "Categorical:\n", "\n", "\n", "The \"artists\" dataset (artists.csv) has the following features:\n", "" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Import libraries" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Start by importing VerticaPy and loading the SQL extension, which allows you to query the Vertica database with SQL." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import verticapy as vp\n", "%load_ext verticapy.sql" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This example uses the following version of VerticaPy:" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'0.9.0'" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "vp.__version__" ] }, { "cell_type": "markdown", "id": "a05a684f", "metadata": {}, "source": [ "Connect to Vertica. This example uses an existing connection called \"VerticaDSN.\" For details on how to create a connection, use see the connection tutorial." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "vp.connect(\"VerticaDSN\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Create a new schema, \"spotify.\"" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "True" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "vp.drop(\"spotify\", method = \"schema\")\n", "vp.create_schema(\"spotify\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Data Loading" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Load the datasets into the vDataFrame with read_csv() and then view them with display()." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "The table \"spotify\".\"artists\" has been successfully created.\n", "The table \"spotify\".\"tracks\" has been successfully created.\n" ] } ], "source": [ "# load datasets as vDataFrame objects\n", "artists = vp.read_csv(\"data/artists.csv\", schema = \"spotify\", parse_nrows = 100)\n", "tracks = vp.read_csv(\"data/tracks.csv\" , schema = \"spotify\", parse_nrows = 100)" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
Abc
id
Varchar(44)
123
followers
Numeric(7,2)
Abc
Varchar(36)
Abc
name
Varchar(114)
123
popularity
Int
10001K3ON4ACv7hte9Jlc6o1.0Chris0
20001ZVMPt41Vwzt1zsmuzp13667.0Thyro & Yumi39
30001cekkfdEBoMlwVQvpLg80.0Jordan Colle0
40001wHqxbF2YYRQxGdbyER6329.0Motion Drive19
50002XY9y3JhjzTZqNCqEcv1828.0Katie Price & Peter Andre0
600045gNg7mLEf9UY9yhD0t829.0Kubus & BangBang13
70004m70bDmySiyX0mbJMNS0.0Carla Sanders0
80004mMWDlIBRhLMZP3p92i4.0Yung Danzy0
900052qkj8osxzuMhyZA88Y1.0Stephen Olaussen0
1000062105bTKjdbdc1K1UpI0.0懾魂紫0
110006sHOabJ20USMjG8cWtD705.0The Art Company32
12000778ICMgFxCapm7fVDAW1.0Polyphoniko Sygkrotima0
130007DSGSwy4e3PdpExQESD47.0Detect Audio0
140008EBLAehfRBSeStEUQmn0.0Hi Tide Wild0
150008dSXw2QjJXEg3jNl6hG0.0prottaborton0
1600097QzAB3ui6aBPavao2O0.0Gastraws Gang0
170009LMJQT62wdZVgnM4vBy97.0Bernd Mehler34
180009v6e5hmLdAqSFTLcKry1417.0Komissar0
19000AK4sjc0Np5MbCQ6JC1U11.0Tony Camillo's Bazuka0
20000AreMafq1WYcwszMM61y0.0Da Brxkxnhxrt Boys0
21000BQxIqXh6LNfsVTt703l0.0CecilyCecily0
22000BblCiHJeKvtiq5aiHOs1994.051 Koodia34
23000CkqJliuK4m3uNRl0jd20.0Young Ranz0
24000Cz1Pts8aGpDLBvrc4wi597.0El Negrito18
25000DEqM4VjDJIUIFJ2LNk10.0Han Young Chul0
26000DpPOWQC5JxdVapodOTM0.0Blu Bill$0
27000Dq0VqTZpxOP6jQMscVL4923.0Thug Brothers14
28000ESzt0wlQI41YbKYGIkf192.0Zach Russell19
29000EYNgg9zCfoWNtDBemdu0.0Coral Anointed vases0
30000Eamfs6aR2aDr5svq1XF26.0Scarlett Gonzalez0
31000FVR595IhUXTTTRwMgyQ0.0Mr. Todd0
32000G2jFbXDhyuRZGw3jX0l0.0Ci0
33000GXXsAUTgVJfJzOEMIQz3.0Seanine Seven0
34000Gam69yUQckclDmjLvlL1331.0Tony Victor0
35000IpCJToEX5T7oDZtXSeW0.0@Harlem Fuego0
36000JK7wzCV5X4mg3MbsuGA17.0Delmonaco0
37000JMMX1ZXl1WQIu9GGxCI0.0P.O.P0
38000JdbKW4RCTX2eV304DDR5.0Yuni Ayunda0
39000LGmf577qlcsgUZMWJLL0.0Mel Vine0
40000MS0paUmy5CYke9uzmAO0.0Zues Carter0
41000N5stG2Co67GJJeqBJpy0.0Hajoso0
42000NbZqISnuKaqmw33JxTV1418.0Carlos Nakai9
43000NkLnzi66UcbuTttHDqX1.0R.J. Paradee0
44000Nolc0A0ZuWkFzNYVYdU16.0Peter Clark1
45000OybtozoTUivAiSvHstz3.0Mohamad Sparow0
46000PIVxMsaaWl1FtigEyDo0.0Halo Kitty0
47000PWQyVzAHQICDwxkwEvy0.0TrulySincere0
48000QJOWUPdmFGneapRPzMx144.0The Red Carpet0
49000R5IwxLTiwZ1O0lsEgMZ2.0Verónica Falco0
50000SLLJ1xQBlePMwMXtkK50.0SlimStnr0
51000Saas96Bv97L2quWFvJl4.03MYR0
52000SwGJYBhOXUnpXva6H3v3.0Lucrative Burrito0
53000SzAei1SOa0HERIjNNqb0.0Man Gogh0
54000TLrYTTOschyZq06KUyV0.0Sadia Naeem0
55000TPdyW9vCzS7vAboRLPP0.0Florence Mestais0
56000TcTgrYANFi4NWE4K0fi0.0B Greazy0
57000UmiuzgqlUjKHpvIWmAo3834.0Lisa Knowles-Smith27
58000UxvYLQuybj6iVRRCAw191.0Primera Etica1
59000VNWB7V9Xt6HDlPnP1FM1.0JVC0
60000VtE5U1okZpIrAilYHpJ0.0Элиана Бублик0
61000WDFTEMnS2Ey1iyugp0x3.0Nyell Jeudy0
62000WMX8CCUlKyWxaOasSNZ346.0John Wang9
63000WyXOWRZlAYSCHOl6vbw5.0Naveen Hiremath0
64000XIsEmxd7gGlxWDFCD432.0YkUno0
65000ZSUbEUZFtMiWHIYBv3W0.0Cathy Fishburn0
66000ZhE5mMcLVkkIMYScxGn0.0Torrober0
67000ZqKpgzccO8TcuxHK6VW2.0Alibastard0
68000dicAA3QWT6m118rFXLO134.0Wings of the ISANG0
69000e7vL2PldGExOPwRFmfF0.0Tea K0
70000eJgbruxYJJGYpzP33bd0.0Alonzo Garton0
71000fiSPJm8TYO2T7UPExMS0.0Bobbie Johnson0
72000h0et7HHi3pmuWZ80LNj0.0NT Money0
73000isQj1PXwsP5kJF0F1Fi14.0YoursTruly1
74000j0w6ospeDya5uUncVNQ0.0Pradeep Dutto0
75000j8IPyHeLwvo4ScFUJMn0.0El Bkno0
76000kGSv1ge0O6gJDYkOBLZ11.0Electra Vega0
77000lFylX9iGEN12AIz7qkF0.0Mr. Goodbarz0
78000lUERE6k2fnBFdDn58yb6.0Décio Pulini0
79000lc4PE8DuDC8O1n2jsao0.0Luh H0
80000nr5NQY4yigOdegZaKoV7.0Ghostfog0
81000ohFb1Uurub7P6UxvkJ30.0Leek Sosa0
82000p4jMMhpEHq1h6PFCyO1335.0Anne Veski24
83000pQJoy8qFwpZwB5T8htu2.0RCHILL0
84000q9sWX0l76D7fijF5iOl19.0Room 4040
85000qAzhdvazIILeGHZhfHE1.0Deja Amari0
86000qxDglux9HycJpOEigNr0.0Em. Mâu Huỳnh Điệp0
87000rFz8r7IQznjS1qjIsyk0.0Soph vs. Hypa0
88000rLf9cJqQOstUbHCzl775.0Raffaele Cardone0
89000rOFFfUyGGzKmB8XYIuu132.0Milton Cross0
90000rU47x3QblbKdSE2VRFm2.0Ron One0
91000s6SnJAGVnsoT33VKcSW59.0Poker Pets8
92000s7VhvjpDLaDf3L140Zc0.0古風な 音楽を学ぶ0
93000sD0EGScyHwmiRNF0RRP9.0Doblado0
94000spuc3oKgwYmfg5IE26s301.0Parliament Syndicate8
95000tKel9gS8530Lh9kd8xb2.0Rupantar1
96000vMR3cHSTJ88w3PJWHJB114.0Jeff Kryka20
97000vYbdVeUF5Mx5RLgT2iR0.0608 A0
98000vgESUHZ8XyaYCCxapde7.0Maggie Lee0
99000vr8pSUPAUgtGPpJbGEH0.0Dro-Delecity0
100000vwlhkQBKs6RjdBkjltZ41.0Soul Creation feat. Kenny Bobien0
Rows: 1-100 | Columns: 5
" ], "text/plain": [ " id followers genres \\\\\n", "1 0001K3ON4ACv7hte9Jlc6o 1.0 [] \\\\\n", "2 0001ZVMPt41Vwzt1zsmuzp 13667.0 ['opm'] \\\\\n", "3 0001cekkfdEBoMlwVQvpLg 80.0 [] \\\\\n", "4 0001wHqxbF2YYRQxGdbyER 6329.0 ['progressive psytrance'] \\\\\n", "5 0002XY9y3JhjzTZqNCqEcv 1828.0 [] \\\\\n", "6 00045gNg7mLEf9UY9yhD0t 829.0 ['dutch hip hop'] \\\\\n", "7 0004m70bDmySiyX0mbJMNS 0.0 [] \\\\\n", "8 0004mMWDlIBRhLMZP3p92i 4.0 [] \\\\\n", "9 00052qkj8osxzuMhyZA88Y 1.0 [] \\\\\n", "10 00062105bTKjdbdc1K1UpI 0.0 [] \\\\\n", "11 0006sHOabJ20USMjG8cWtD 705.0 [] \\\\\n", "12 000778ICMgFxCapm7fVDAW 1.0 [] \\\\\n", "13 0007DSGSwy4e3PdpExQESD 47.0 [] \\\\\n", "14 0008EBLAehfRBSeStEUQmn 0.0 [] \\\\\n", "15 0008dSXw2QjJXEg3jNl6hG 0.0 [] \\\\\n", "16 00097QzAB3ui6aBPavao2O 0.0 [] \\\\\n", "17 0009LMJQT62wdZVgnM4vBy 97.0 [] \\\\\n", "18 0009v6e5hmLdAqSFTLcKry 1417.0 ['classic russian pop'] \\\\\n", "19 000AK4sjc0Np5MbCQ6JC1U 11.0 [] \\\\\n", "20 000AreMafq1WYcwszMM61y 0.0 [] \\\\\n", "21 000BQxIqXh6LNfsVTt703l 0.0 [] \\\\\n", "22 000BblCiHJeKvtiq5aiHOs 1994.0 [] \\\\\n", "23 000CkqJliuK4m3uNRl0jd2 0.0 [] \\\\\n", "24 000Cz1Pts8aGpDLBvrc4wi 597.0 [] \\\\\n", "25 000DEqM4VjDJIUIFJ2LNk1 0.0 [] \\\\\n", "26 000DpPOWQC5JxdVapodOTM 0.0 [] \\\\\n", "27 000Dq0VqTZpxOP6jQMscVL 4923.0 ['baton rouge rap', 'deep southern t \\\\\n", "28 000ESzt0wlQI41YbKYGIkf 192.0 [] \\\\\n", "29 000EYNgg9zCfoWNtDBemdu 0.0 [] \\\\\n", "30 000Eamfs6aR2aDr5svq1XF 26.0 [] \\\\\n", "31 000FVR595IhUXTTTRwMgyQ 0.0 [] \\\\\n", "32 000G2jFbXDhyuRZGw3jX0l 0.0 [] \\\\\n", "33 000GXXsAUTgVJfJzOEMIQz 3.0 [] \\\\\n", "34 000Gam69yUQckclDmjLvlL 1331.0 [] \\\\\n", "35 000IpCJToEX5T7oDZtXSeW 0.0 [] \\\\\n", "36 000JK7wzCV5X4mg3MbsuGA 17.0 [] \\\\\n", "37 000JMMX1ZXl1WQIu9GGxCI 0.0 [] \\\\\n", "38 000JdbKW4RCTX2eV304DDR 5.0 [] \\\\\n", "39 000LGmf577qlcsgUZMWJLL 0.0 [] \\\\\n", "40 000MS0paUmy5CYke9uzmAO 0.0 [] \\\\\n", "41 000N5stG2Co67GJJeqBJpy 0.0 [] \\\\\n", "42 000NbZqISnuKaqmw33JxTV 1418.0 ['native american'] \\\\\n", "43 000NkLnzi66UcbuTttHDqX 1.0 [] \\\\\n", "44 000Nolc0A0ZuWkFzNYVYdU 16.0 [] \\\\\n", "45 000OybtozoTUivAiSvHstz 3.0 [] \\\\\n", "46 000PIVxMsaaWl1FtigEyDo 0.0 [] \\\\\n", "47 000PWQyVzAHQICDwxkwEvy 0.0 [] \\\\\n", "48 000QJOWUPdmFGneapRPzMx 144.0 [] \\\\\n", "49 000R5IwxLTiwZ1O0lsEgMZ 2.0 [] \\\\\n", "50 000SLLJ1xQBlePMwMXtkK5 0.0 [] \\\\\n", "51 000Saas96Bv97L2quWFvJl 4.0 [] \\\\\n", "52 000SwGJYBhOXUnpXva6H3v 3.0 [] \\\\\n", "53 000SzAei1SOa0HERIjNNqb 0.0 [] \\\\\n", "54 000TLrYTTOschyZq06KUyV 0.0 [] \\\\\n", "55 000TPdyW9vCzS7vAboRLPP 0.0 [] \\\\\n", "56 000TcTgrYANFi4NWE4K0fi 0.0 [] \\\\\n", "57 000UmiuzgqlUjKHpvIWmAo 3834.0 ['contemporary gospel'] \\\\\n", "58 000UxvYLQuybj6iVRRCAw1 91.0 [] \\\\\n", "59 000VNWB7V9Xt6HDlPnP1FM 1.0 [] \\\\\n", "60 000VtE5U1okZpIrAilYHpJ 0.0 [] \\\\\n", "61 000WDFTEMnS2Ey1iyugp0x 3.0 [] \\\\\n", "62 000WMX8CCUlKyWxaOasSNZ 346.0 [] \\\\\n", "63 000WyXOWRZlAYSCHOl6vbw 5.0 [] \\\\\n", "64 000XIsEmxd7gGlxWDFCD43 2.0 [] \\\\\n", "65 000ZSUbEUZFtMiWHIYBv3W 0.0 [] \\\\\n", "66 000ZhE5mMcLVkkIMYScxGn 0.0 [] \\\\\n", "67 000ZqKpgzccO8TcuxHK6VW 2.0 [] \\\\\n", "68 000dicAA3QWT6m118rFXLO 134.0 [] \\\\\n", "69 000e7vL2PldGExOPwRFmfF 0.0 [] \\\\\n", "70 000eJgbruxYJJGYpzP33bd 0.0 [] \\\\\n", "71 000fiSPJm8TYO2T7UPExMS 0.0 [] \\\\\n", "72 000h0et7HHi3pmuWZ80LNj 0.0 [] \\\\\n", "73 000isQj1PXwsP5kJF0F1Fi 14.0 [] \\\\\n", "74 000j0w6ospeDya5uUncVNQ 0.0 [] \\\\\n", "75 000j8IPyHeLwvo4ScFUJMn 0.0 [] \\\\\n", "76 000kGSv1ge0O6gJDYkOBLZ 11.0 [] \\\\\n", "77 000lFylX9iGEN12AIz7qkF 0.0 [] \\\\\n", "78 000lUERE6k2fnBFdDn58yb 6.0 [] \\\\\n", "79 000lc4PE8DuDC8O1n2jsao 0.0 [] \\\\\n", "80 000nr5NQY4yigOdegZaKoV 7.0 [] \\\\\n", "81 000ohFb1Uurub7P6UxvkJ3 0.0 [] \\\\\n", "82 000p4jMMhpEHq1h6PFCyO1 335.0 ['estonian pop'] \\\\\n", "83 000pQJoy8qFwpZwB5T8htu 2.0 [] \\\\\n", "84 000q9sWX0l76D7fijF5iOl 19.0 [] \\\\\n", "85 000qAzhdvazIILeGHZhfHE 1.0 [] \\\\\n", "86 000qxDglux9HycJpOEigNr 0.0 [] \\\\\n", "87 000rFz8r7IQznjS1qjIsyk 0.0 [] \\\\\n", "88 000rLf9cJqQOstUbHCzl77 5.0 [] \\\\\n", "89 000rOFFfUyGGzKmB8XYIuu 132.0 [] \\\\\n", "90 000rU47x3QblbKdSE2VRFm 2.0 [] \\\\\n", "91 000s6SnJAGVnsoT33VKcSW 59.0 [] \\\\\n", "92 000s7VhvjpDLaDf3L140Zc 0.0 [] \\\\\n", "93 000sD0EGScyHwmiRNF0RRP 9.0 [] \\\\\n", "94 000spuc3oKgwYmfg5IE26s 301.0 ['deep indie singer-songwriter'] \\\\\n", "95 000tKel9gS8530Lh9kd8xb 2.0 [] \\\\\n", "96 000vMR3cHSTJ88w3PJWHJB 114.0 [] \\\\\n", "97 000vYbdVeUF5Mx5RLgT2iR 0.0 [] \\\\\n", "98 000vgESUHZ8XyaYCCxapde 7.0 [] \\\\\n", "99 000vr8pSUPAUgtGPpJbGEH 0.0 [] \\\\\n", "100 000vwlhkQBKs6RjdBkjltZ 41.0 [] \\\\\n", " name popularity \n", "1 Chris 0 \n", "2 Thyro & Yumi 39 \n", "3 Jordan Colle 0 \n", "4 Motion Drive 19 \n", "5 Katie Price & Peter Andre 0 \n", "6 Kubus & BangBang 13 \n", "7 Carla Sanders 0 \n", "8 Yung Danzy 0 \n", "9 Stephen Olaussen 0 \n", "10 懾魂紫 0 \n", "11 The Art Company 32 \n", "12 Polyphoniko Sygkrotima 0 \n", "13 Detect Audio 0 \n", "14 Hi Tide Wild 0 \n", "15 prottaborton 0 \n", "16 Gastraws Gang 0 \n", "17 Bernd Mehler 34 \n", "18 Komissar 0 \n", "19 Tony Camillo's Bazuka 0 \n", "20 Da Brxkxnhxrt Boys 0 \n", "21 CecilyCecily 0 \n", "22 51 Koodia 34 \n", "23 Young Ranz 0 \n", "24 El Negrito 18 \n", "25 Han Young Chul 0 \n", "26 Blu Bill$ 0 \n", "27 Thug Brothers 14 \n", "28 Zach Russell 19 \n", "29 Coral Anointed vases 0 \n", "30 Scarlett Gonzalez 0 \n", "31 Mr. Todd 0 \n", "32 Ci 0 \n", "33 Seanine Seven 0 \n", "34 Tony Victor 0 \n", "35 @Harlem Fuego 0 \n", "36 Delmonaco 0 \n", "37 P.O.P 0 \n", "38 Yuni Ayunda 0 \n", "39 Mel Vine 0 \n", "40 Zues Carter 0 \n", "41 Hajoso 0 \n", "42 Carlos Nakai 9 \n", "43 R.J. Paradee 0 \n", "44 Peter Clark 1 \n", "45 Mohamad Sparow 0 \n", "46 Halo Kitty 0 \n", "47 TrulySincere 0 \n", "48 The Red Carpet 0 \n", "49 Verónica Falco 0 \n", "50 SlimStnr 0 \n", "51 3MYR 0 \n", "52 Lucrative Burrito 0 \n", "53 Man Gogh 0 \n", "54 Sadia Naeem 0 \n", "55 Florence Mestais 0 \n", "56 B Greazy 0 \n", "57 Lisa Knowles-Smith 27 \n", "58 Primera Etica 1 \n", "59 JVC 0 \n", "60 Элиана Бублик 0 \n", "61 Nyell Jeudy 0 \n", "62 John Wang 9 \n", "63 Naveen Hiremath 0 \n", "64 YkUno 0 \n", "65 Cathy Fishburn 0 \n", "66 Torrober 0 \n", "67 Alibastard 0 \n", "68 Wings of the ISANG 0 \n", "69 Tea K 0 \n", "70 Alonzo Garton 0 \n", "71 Bobbie Johnson 0 \n", "72 NT Money 0 \n", "73 YoursTruly 1 \n", "74 Pradeep Dutto 0 \n", "75 El Bkno 0 \n", "76 Electra Vega 0 \n", "77 Mr. Goodbarz 0 \n", "78 Décio Pulini 0 \n", "79 Luh H 0 \n", "80 Ghostfog 0 \n", "81 Leek Sosa 0 \n", "82 Anne Veski 24 \n", "83 RCHILL 0 \n", "84 Room 404 0 \n", "85 Deja Amari 0 \n", "86 Em. Mâu Huỳnh Điệp 0 \n", "87 Soph vs. Hypa 0 \n", "88 Raffaele Cardone 0 \n", "89 Milton Cross 0 \n", "90 Ron One 0 \n", "91 Poker Pets 8 \n", "92 古風な 音楽を学ぶ 0 \n", "93 Doblado 0 \n", "94 Parliament Syndicate 8 \n", "95 Rupantar 1 \n", "96 Jeff Kryka 20 \n", "97 608 A 0 \n", "98 Maggie Lee 0 \n", "99 Dro-Delecity 0 \n", "100 Soul Creation feat. Kenny Bobien 0 \n", "Rows: 1-100 | Columns: 5" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
Abc
id
Varchar(44)
Abc
Varchar(96)
123
popularity
Int
123
duration_ms
Int
123
explicit
Int
Abc
Varchar(100)
Abc
Varchar(156)
Abc
release_date
Varchar(20)
123
danceability
Numeric(6,4)
123
energy
Numeric(8,6)
123
key
Int
123
loudness
Numeric(8,4)
123
mode
Int
123
speechiness
Numeric(7,5)
123
acousticness
Numeric(6,4)
123
instrumentalness
Float
123
liveness
Numeric(7,5)
123
valence
Numeric(7,5)
123
tempo
Numeric(9,4)
123
time_signature
Int
10004Uy71ku11n3LMpuyf593425890702012-01-010.6230.5996-9.25510.02550.1770.001480.07480.381140.0564
2000CSYu4rvd8cQ7JilfxhZ4318910702005-05-030.6240.7662-7.8610.07310.3450.00.1130.54895.1284
3000DsoWJKHdaUmhgcnpr8j1623453301977-07-110.5720.6087-10.22410.5550.6420.000220.3440.559106.4534
4000G1xMMuwxNHmwVsBdtj13218234701978-09-230.2560.8952-4.8610.07070.01310.0001060.08210.555191.3074
5000KblXP5csWFFFsD6smOy3524001302006-07-080.6190.5184-5.39200.05340.8050.00.1020.314143.7573
6000Npgk5e2SgwGaIsN3ztv020697201953-12-310.2770.1453-19.89810.08450.980.8790.1110.49475.6444
7000P83HDtOHcNVFZy7Q2Yu18242493019800.6190.5617-8.37700.07360.4384.17e-050.1260.69688.944
8000RDCYioLteXcutOjeweY5419020302018-02-120.6790.770-3.53710.190.05830.00.08250.839161.7214
9000TXa2oEZLYfQGPCiv23U6243200019820.610.916-10.98110.0430.06060.08280.1480.775129.6394
10000TiSS4vK5su0MkoFyQbd4415925002017-12-220.720.6466-7.69100.1060.2370.00.1270.095880.0134
11000d0lQMYaRR5ZXS9nTeiN32258533119950.8260.8271-8.39310.2050.01064.62e-050.170.4992.1374
12000jBcNljWTnyjB4YO7ojf017974701954-01-010.7880.8085-6.5910.03950.6560.00.1540.969113.0464
13000mGrJNc2GAgQdMESdgEc0498560019510.07530.152-16.70500.03710.3020.8840.1210.035176.5583
14000q9YBtesW8yPwlmus12C317851501975-01-010.7150.2545-15.45910.03430.8780.00.08670.55994.2054
15000u1dTg7y1XCDXi80hbBX5830060001989-01-010.7560.477-12.61510.03940.1960.0004870.1260.43120.4844
16000x2qE0ZI3hodeVrnJK8A37200627019750.5070.3560-14.2410.03060.3390.00.180.472134.2484
17000xYdQfIZ4pDmBGzQalKU5318711902016-11-040.5090.8030-6.74310.040.6840.0005390.4630.651166.0184
18000ydDsz4ijCNUsmoIeZcj139866701978-09-220.6370.3531-13.97800.0390.2338.44e-060.1020.662139.2093
1900105Q1NbnHkf8R5eXXeXm4423406702011-08-230.7770.8326-3.98200.04030.3341.08e-050.07650.7294.9644
2000147h65HDYSncB3byziPP1224144001961-01-010.2380.25310-13.89810.03150.8770.00.07480.16490.8554
210018QzCxmMrpa0FubbNdak3114793301993-01-010.8040.7969-8.61610.0320.3190.0001270.09870.965113.9644
22001AGGmHtn4FUzXgAUxz391319150401991-01-010.5160.2957-15.55800.06620.6760.00.1950.881150.5423
23001GxQGaFwTjxM7tmKbMF330214493020040.5470.73111-6.05510.07370.2060.00.09390.965159.8014
24001I9iXPNwN0HlHfdQjDIX2126784001988-01-010.4530.6885-9.07510.05560.02675.21e-060.2930.42120.9534
25001IcYypSE1ryXKY5KNIin58270405302016-10-080.1110.37610-27.78600.08630.5660.7160.311e-0595.285
26001LvKFwYbfKYPQF2Fiv773419078701954-01-010.5550.5333-7.60910.03720.8020.2110.270.88282.684
27001UI3J6PKAEnBgqrwGGQC21163840019770.8390.4067-17.73210.10.05552.39e-050.1070.559139.3674
28001UkMQHw4zXfFNdKpwXAF6919105302019-04-050.5730.8467-4.86610.03440.00377.87e-050.290.562127.0614
29001YQlnDSduXd5LgBd66gT3617726701984-02-060.5540.9212-4.58910.07580.01940.08810.3290.7183.5711
30001ZmOPuWEW5czwun7nkha89286701952-04-110.160.125-15.24410.03670.9150.000240.280.162169.7221
31001e2JrYMwnTeRnxf3sgIz1236428001953-01-010.1920.07633-24.38810.04250.9510.2840.07020.055491.0973
32001f6XLtM53gwKSauiUcKI3137998701977-01-010.5560.3151-12.92300.2280.1510.00.1020.364129.9984
33001gx41rQo0bKh063TrC1I2238203001984-01-010.5030.23310-16.82710.06750.8130.01290.5460.153129.2544
34001hyVfKgE2R1a0TBXeLlV5221974212019-05-200.6660.55411-10.35310.03250.670.000250.06310.414130.0524
35001s02k3baVIxp6lIVRu6k020547301937-12-310.4260.08843-10.92510.06390.9880.001130.3930.39680.213
3600218i6cYENiDszmBKsYYg5513265712018-08-230.7060.4730-8.08500.09260.9840.02420.1060.5987.4124
370022sbR4gAWFhpMaYLbtnX2221656102009-01-010.7480.8658-5.66300.03270.180.00.1330.879138.0184
380024tEymsoc9FyKUauQngQ41546107019770.3050.2341-18.25510.02590.7520.9290.1320.07882.4533
390025JMWRhsWx0GXdlzhHMO119729302016-05-270.2520.8770-7.87600.04810.00010.08070.06850.332103.7844
400029TH4cSnQ12KKfHaq11C3819896002000-01-010.6160.8195-4.10910.03030.00250.0001140.2150.962126.8164
41002Ac7LJjVIcfFYMZ6Irue317761301969-08-230.40.3916-10.48710.02760.4851.18e-050.1180.40183.4594
42002CcxKpBE1tfKOy2CRaWr019415401955-12-310.5050.4193-10.51100.3160.9830.05120.1480.654134.6583
43002DkDzzQ7lrgaqWBF2o1M3720528001985-01-010.5090.7157-6.41910.1760.02510.00.4190.833178.1444
44002KIBXwb0pa66mPGuPKMr3329424901990-03-010.6410.8549-9.10900.02910.00170.3480.3250.871121.2444
45002TGKi4LBwxYodlfWoaN03213209302000-01-010.7630.8815-7.40910.03110.5963.11e-050.1480.987143.1644
46002aR3zqP6SvscCnPT44on072643601955-01-010.2030.1074-21.17500.03990.9250.8320.1120.0375107.3914
47002ak2fuoNB5KW0plsN1jp2621353301990-04-100.7310.399-12.02300.02860.4212.55e-060.07850.69697.3974
48002c2TeuD0GPfL2ahcmWEF017820401945-12-310.6760.2456-10.90600.09450.9950.5710.1340.74875.4444
49002dEfJAJnpoDU5cUhMmZJ0158145019400.3540.3539-12.50610.0680.9850.2780.09570.649152.4244
50002dh6a4LfxfGGnhPZY4fG0309347019510.3890.3127-9.83910.040.9194.08e-060.4250.289119.4794
51002jsFzKzBLqDS71IZpnd65211293019710.6910.44-8.82810.03670.7550.0001250.110.716121.3554
52002lZtb0gYsfOJKqIouc0j145360001972-09-110.6060.9543-5.93900.9340.9590.00.9150.28876.8563
53002sGwDZYna3CKXbYIilHz016694902009-12-160.5250.6599-14.27300.03140.2180.8650.1190.739128.0024
54002x5YvGv3c0OW9HOoa4lG1017303501977-01-010.7450.58610-6.64710.06270.6290.0003820.340.9590.1114
55002zOHMdBKYgNGtmmHSE2D525089301959-02-020.390.6997-9.8710.8070.7970.00.70.791164.584
5600309sp8DDeN07RtAyBKIX3425164611992-02-240.570.8817-12.80810.04830.00070.190.3340.623128.914
570033rRpGIViA0RngXc0jtL024595712012-11-010.1750.06825-16.95510.04190.9370.8880.2260.0354118.2484
580034Fs63aj5J6FTxe5U2Ru1177766701983-06-100.4660.4190-10.34210.03710.6986.09e-050.2090.277122.6374
590036VchQkckr6Xxz7WYEh03123258702010-03-080.7070.2661-12.33810.03070.7663.72e-050.1050.47392.0084
600038DNjmwf6yFivn7PLwqP21336653019830.8980.7399-7.48700.06050.2250.0001280.2850.883113.8844
61003FTlCpBTM4eSqYSWPv4H6923326702002-10-150.5530.7177-5.85710.03180.00010.1280.03850.318127.9474
62003IDC4FUadw6ocSKqWHtq2219376001988-01-010.5740.597-7.87900.02410.08440.00.06760.346102.6834
63003IdD0Ir5LSZHlrPpLZlm27120907019750.2930.1867-27.6710.04190.9890.8480.1090.796152.0454
64003IvyvD1M7gdSDK3z5Kfd36143200019960.7160.335-11.76400.04130.571.79e-050.1380.554117.8354
65003JzPprzThp8SHUctgXnn10182413019520.4610.4547-8.49910.04190.7970.006120.1070.298142.1974
66003KPastz3K8HNyHb8dixS2630312002000-04-090.650.830-5.75800.02810.1060.00.3180.632132.3534
67003PmYxl19KBg6m4uxClbR2221726701990-01-010.470.7125-5.46210.03170.1640.00.2250.28146.1814
68003ShLCyC9ACAsdUWOcnk01922857301993-03-120.7730.5877-12.19610.0390.8293.94e-050.07190.86130.1384
69003WuNd8vTwCW4JyhFQMYT042267019540.6560.5184-18.67310.1010.9870.1320.7620.932142.2163
70003YOvQRIurKekUuUMDtkZ4429361601999-03-170.8010.5556-7.87110.03210.4610.00.2360.806142.3434
71003Ymyk0DvgqFmqEmA5Vzc24249160019780.6930.570-9.94900.03090.380.00.280.855123.1934
72003d3VbyJTZiiOYT2W7fnQ4129093301973-01-010.4610.320-16.33710.03270.2663.5e-060.2110.487134.8813
73003fzMu2jBvZqXNPMYNYox3221310702009-09-290.5670.6037-8.22310.0440.3173.7e-050.130.681159.9344
74003gesN9g85fPpsH1Gx5OO47196040020010.7920.9522-6.74910.0550.1340.0002630.2540.968106.0094
75003hDp0MCmLiYKYRfzbhMo18229227019960.6210.8174-3.3410.05260.5090.00.1560.976155.1294
76003noSDLb7rvHSJ2FPYmDX3819386701995-01-010.5660.952-9.14600.03760.00350.004930.2270.759148.0294
77003oRl3zfRZvhttUxM9Gr51223870701986-11-120.760.7462-5.17910.2710.3222.04e-060.04570.892137.0784
78003vvx7Niy0yvhvHt4a68B82222973020040.3520.9111-5.2310.07470.00120.00.09950.236148.0334
790043vCcTBYYsmUPzCNd1JQ1122462701989-01-010.7490.7569-6.09510.03740.00610.00.03320.861122.4144
8000469l4g2MMTCWwPudV9Qq125554701960-01-010.6820.2625-14.6700.04950.7650.00.2280.598123.7954
810046quUYhSAFccrKIC3Iht4328497301985-06-010.480.4351-9.95910.03050.2075.83e-060.1960.328144.4354
820047CfWoMPpXkZlizPQAb22723621302004-11-230.8560.7547-2.72800.04160.02941.49e-050.2060.72298.0184
83004ADkC8JLeDkT5HGsPDBm423986702005-11-290.5590.7138-4.02900.03180.1230.00.10.734164.0484
84004Me6nm9MknKeGKLnWx79422324001979-04-300.7050.5849-9.99710.02960.1585.39e-060.2340.83198.8444
85004NJ3y5ED5zhn5adktc8g0184812019260.3780.5983-6.38110.04340.9960.6070.430.649198.4924
86004Oj2hkXAaenToKOLbYla0107760019560.7640.3022-14.69810.0370.9110.0004460.2610.829117.1913
87004TG0nRHejwSKisvwTcAB31204853019630.220.04474-25.51410.03840.9950.9410.1010.19768.3494
88004TP6xsBixiK3zqOfPBEx2121060019580.7080.17810-17.49110.9580.6080.00.2340.561100.1213
89004UHJTfLZH02Xds3ETd7e025464001953-01-010.4140.4252-9.29910.03780.8910.01640.370.53398.0134
90004VesjMxIn4AzXd8c52n1539250701990-01-010.5680.6211-11.87800.02740.580.005390.08460.418100.8973
91004XgNPueIQSJrK25rzP3D23243533020120.5360.5060-9.83610.02770.00090.00.09640.30683.4624
92004a0SY8lPBwVnLCtO9aOO367222302016-12-250.00.001251-27.59210.00.9081.00.1110.00.00
93004cCP7Csq7U0m67DDzEFs072147019460.4190.08743-27.61200.04190.9950.9220.120.50764.0085
94004dqsaJ3B8BBpqpN0F4YT31186333019890.6650.57-9.57900.03450.08622.33e-060.1040.95119.9694
95004ltC6j7SM8J06Egoa4wN19251960019990.7620.8247-7.57110.07230.1559.56e-050.0970.75698.0724
96004q4eDxR33ci4f8m4flwl4317162702016-08-260.8380.7031-6.19500.050.7681.56e-060.08610.658104.9824
97004sbHg1qMzdrDXdxJpkj1526284002021-04-020.5680.5176-7.31600.08940.1460.00.3430.578104.4414
98004tIr2Xy3FJVesPxRBLqm222685302020-09-250.6830.5727-7.08610.04470.111.54e-050.08950.583100.0354
99004tQ7CGOm6ZKbmhdTgKsM1714012001995-06-200.6830.4791-11.57410.9420.3670.00.3370.70776.7821
100004uWjBm1cOgxJAwQb6X8P3926046701993-11-010.7740.6340-11.40100.04870.20.009760.220.933119.9534
Rows: 1-100 | Columns: 20
" ], "text/plain": [ " id name \\\\\n", "1 0004Uy71ku11n3LMpuyf59 24.11.94 - Wersja Akustyczna \\\\\n", "2 000CSYu4rvd8cQ7JilfxhZ Adam et Ève \\\\\n", "3 000DsoWJKHdaUmhgcnpr8j Balla Trazan Apansson / Vegetarianvisan \\\\\n", "4 000G1xMMuwxNHmwVsBdtj1 Will Anything Happen \\\\\n", "5 000KblXP5csWFFFsD6smOy Podrás \\\\\n", "6 000Npgk5e2SgwGaIsN3ztv Mere Hamsafar \\\\\n", "7 000P83HDtOHcNVFZy7Q2Yu El Licor de Tu Boquita \\\\\n", "8 000RDCYioLteXcutOjeweY Teeje Week \\\\\n", "9 000TXa2oEZLYfQGPCiv23U Casanova \\\\\n", "10 000TiSS4vK5su0MkoFyQbd Tenebre \\\\\n", "11 000d0lQMYaRR5ZXS9nTeiN Paris sous les bombes \\\\\n", "12 000jBcNljWTnyjB4YO7ojf Me Quieres Perjudicar \\\\\n", "13 000mGrJNc2GAgQdMESdgEc Symphony in B-Flat Major, Op. 20: II.... \\\\\n", "14 000q9YBtesW8yPwlmus12C Undrastrákurinn Óli \\\\\n", "15 000u1dTg7y1XCDXi80hbBX I Don't Want A Lover \\\\\n", "16 000x2qE0ZI3hodeVrnJK8A (Love Me Like Music) I'll Be Your Song \\\\\n", "17 000xYdQfIZ4pDmBGzQalKU Eu, Você, O Mar e Ela \\\\\n", "18 000ydDsz4ijCNUsmoIeZcj El Cachimbo \\\\\n", "19 00105Q1NbnHkf8R5eXXeXm Es un Secreto \\\\\n", "20 00147h65HDYSncB3byziPP My Shining Hour \\\\\n", "21 0018QzCxmMrpa0FubbNdak Embárgame A Mi \\\\\n", "22 001AGGmHtn4FUzXgAUxz39 Mi Larga Espera \\\\\n", "23 001GxQGaFwTjxM7tmKbMF3 La Falla Fue Tuya \\\\\n", "24 001I9iXPNwN0HlHfdQjDIX El Senyor de Les Pedres \\\\\n", "25 001IcYypSE1ryXKY5KNIin Baby Sleep Waves \\\\\n", "26 001LvKFwYbfKYPQF2Fiv77 Yeh Lo Main Haari Piya \\\\\n", "27 001UI3J6PKAEnBgqrwGGQC Pyramania \\\\\n", "28 001UkMQHw4zXfFNdKpwXAF Brand New Man - with Luke Combs \\\\\n", "29 001YQlnDSduXd5LgBd66gT El Tiempo Es Dinero - Remasterizado 2007 \\\\\n", "30 001ZmOPuWEW5czwun7nkha Would You? (End Title) \\\\\n", "31 001e2JrYMwnTeRnxf3sgIz Violin Concerto In D, Op.35, TH. 59: ... \\\\\n", "32 001f6XLtM53gwKSauiUcKI Tigresa - Remixed Original Album \\\\\n", "33 001gx41rQo0bKh063TrC1I Camino a Camagüey \\\\\n", "34 001hyVfKgE2R1a0TBXeLlV Adrenalina \\\\\n", "35 001s02k3baVIxp6lIVRu6k Yehi To Pyare Preet Ki \\\\\n", "36 00218i6cYENiDszmBKsYYg Gxldchainnn \\\\\n", "37 0022sbR4gAWFhpMaYLbtnX Anatheorisa \\\\\n", "38 0024tEymsoc9FyKUauQngQ To the Unknown Man \\\\\n", "39 0025JMWRhsWx0GXdlzhHMO Tyrant - 2016 - Remaster \\\\\n", "40 0029TH4cSnQ12KKfHaq11C L.A. Goodbye \\\\\n", "41 002Ac7LJjVIcfFYMZ6Irue Aquel Payaso \\\\\n", "42 002CcxKpBE1tfKOy2CRaWr Teri Bhi Chup Aur Meri Bhi Chup \\\\\n", "43 002DkDzzQ7lrgaqWBF2o1M Snabbköpskassörskan \\\\\n", "44 002KIBXwb0pa66mPGuPKMr When You Don't See Me \\\\\n", "45 002TGKi4LBwxYodlfWoaN0 Cunnamulla Fella - 1998 Remaster \\\\\n", "46 002aR3zqP6SvscCnPT44on Binorie Variations \\\\\n", "47 002ak2fuoNB5KW0plsN1jp Sally \\\\\n", "48 002c2TeuD0GPfL2ahcmWEF Uth Soye Huye Husn \\\\\n", "49 002dEfJAJnpoDU5cUhMmZJ Melodie in A \\\\\n", "50 002dh6a4LfxfGGnhPZY4fG Paris, France / When Does This Feelin... \\\\\n", "51 002jsFzKzBLqDS71IZpnd6 I Dunno \\\\\n", "52 002lZtb0gYsfOJKqIouc0j 008 - Moby Dick - Teil 35 \\\\\n", "53 002sGwDZYna3CKXbYIilHz Life \\\\\n", "54 002x5YvGv3c0OW9HOoa4lG El Pajarito \\\\\n", "55 002zOHMdBKYgNGtmmHSE2D Zing! Went The Strings Of My Heart - ... \\\\\n", "56 00309sp8DDeN07RtAyBKIX Workaholic \\\\\n", "57 0033rRpGIViA0RngXc0jtL The Day Before The New Year \\\\\n", "58 0034Fs63aj5J6FTxe5U2Ru Medley Masa Records \\\\\n", "59 0036VchQkckr6Xxz7WYEh0 Poetry \\\\\n", "60 0038DNjmwf6yFivn7PLwqP Yum-Yum \\\\\n", "61 003FTlCpBTM4eSqYSWPv4H Swing, Swing \\\\\n", "62 003IDC4FUadw6ocSKqWHtq תחת עץ האהבה \\\\\n", "63 003IdD0Ir5LSZHlrPpLZlm Lute Suite in E Minor, BWV 996 (Arr. ... \\\\\n", "64 003IvyvD1M7gdSDK3z5Kfd Moño Negro \\\\\n", "65 003JzPprzThp8SHUctgXnn Willow Weep For Me - Remastered 1998 \\\\\n", "66 003KPastz3K8HNyHb8dixS מעביר דף \\\\\n", "67 003PmYxl19KBg6m4uxClbR Als Je Bij Me Bent \\\\\n", "68 003ShLCyC9ACAsdUWOcnk0 Njattu Velakkiliye - Male Version \\\\\n", "69 003WuNd8vTwCW4JyhFQMYT Falstaff: Act I: Scene 2: Quell'otre!... \\\\\n", "70 003YOvQRIurKekUuUMDtkZ Inocente \\\\\n", "71 003Ymyk0DvgqFmqEmA5Vzc Pode Esperar \\\\\n", "72 003d3VbyJTZiiOYT2W7fnQ Mr. Bojangles \\\\\n", "73 003fzMu2jBvZqXNPMYNYox Momentos de Amor \\\\\n", "74 003gesN9g85fPpsH1Gx5OO Iko Iko \\\\\n", "75 003hDp0MCmLiYKYRfzbhMo Dos Claveles \\\\\n", "76 003noSDLb7rvHSJ2FPYmDX Russian Lullaby - Radio Edit \\\\\n", "77 003oRl3zfRZvhttUxM9Gr5 El Negrito Sabrosón \\\\\n", "78 003vvx7Niy0yvhvHt4a68B Mr. Brightside \\\\\n", "79 0043vCcTBYYsmUPzCNd1JQ Geef me liefde \\\\\n", "80 00469l4g2MMTCWwPudV9Qq Seven Lonely Days \\\\\n", "81 0046quUYhSAFccrKIC3Iht All Cried Out (with Full Force) \\\\\n", "82 0047CfWoMPpXkZlizPQAb2 Rich Girl \\\\\n", "83 004ADkC8JLeDkT5HGsPDBm เลี้ยงส่ง \\\\\n", "84 004Me6nm9MknKeGKLnWx79 Change Of Heart \\\\\n", "85 004NJ3y5ED5zhn5adktc8g Somebody Stole My Gal \\\\\n", "86 004Oj2hkXAaenToKOLbYla A la mar tiré un pañuelo \\\\\n", "87 004TG0nRHejwSKisvwTcAB The Garden of Gethesemanie \\\\\n", "88 004TP6xsBixiK3zqOfPBEx Kapitel 17 - Venetia und der Wüstling \\\\\n", "89 004UHJTfLZH02Xds3ETd7e Ana Alby Khaly - Audio Reel \\\\\n", "90 004VesjMxIn4AzXd8c52n1 Babhemu (Friends) \\\\\n", "91 004XgNPueIQSJrK25rzP3D לבן בחלום שחור \\\\\n", "92 004a0SY8lPBwVnLCtO9aOO Table Fan, Low Speed - Loopable with ... \\\\\n", "93 004cCP7Csq7U0m67DDzEFs Variations and Fugue on a Theme by Ha... \\\\\n", "94 004dqsaJ3B8BBpqpN0F4YT The Battle Belongs to the Lord \\\\\n", "95 004ltC6j7SM8J06Egoa4wN Kot Mon \\\\\n", "96 004q4eDxR33ci4f8m4flwl El Yeyo \\\\\n", "97 004sbHg1qMzdrDXdxJpkj1 Heartbreaker - Single Version \\\\\n", "98 004tIr2Xy3FJVesPxRBLqm Lie To Me \\\\\n", "99 004tQ7CGOm6ZKbmhdTgKsM Na mee vo Im Bundeshuus und am Bäregrabe \\\\\n", "100 004uWjBm1cOgxJAwQb6X8P Mar y Luna \\\\\n", " popularity duration_ms explicit artists \\\\\n", "1 34 258907 0 ['Golden Life'] \\\\\n", "2 43 189107 0 ['Kaïn'] \\\\\n", "3 16 234533 0 ['Trazan & Banarne'] \\\\\n", "4 32 182347 0 ['Blondie'] \\\\\n", "5 35 240013 0 ['Tamara Castro'] \\\\\n", "6 0 206972 0 ['Talat Mahmood'] \\\\\n", "7 18 242493 0 ['El Gran Combo De Puerto Rico'] \\\\\n", "8 54 190203 0 ['Jordan Sandhu'] \\\\\n", "9 6 243200 0 ['Buzstop'] \\\\\n", "10 44 159250 0 ['Sercho', 'Ultimo'] \\\\\n", "11 32 258533 1 ['Suprême NTM', 'Lucien Papalu', 'Gre... \\\\\n", "12 0 179747 0 ['Trio Maravilla'] \\\\\n", "13 0 498560 0 ['Ernest Chausson', 'Pierre Monteux'] \\\\\n", "14 3 178515 0 ['Þrjú á palli ásamt Sólskinskórnum'] \\\\\n", "15 58 300600 0 ['Texas'] \\\\\n", "16 37 200627 0 ['Heart'] \\\\\n", "17 53 187119 0 ['Luan Santana'] \\\\\n", "18 13 98667 0 ['Conjunto Folklórico De Santiago'] \\\\\n", "19 44 234067 0 ['Plan B', 'Tego'] \\\\\n", "20 12 241440 0 ['Ella Fitzgerald'] \\\\\n", "21 31 147933 0 ['Los Invasores De Nuevo León'] \\\\\n", "22 13 191504 0 ['Jorge Luis Hortúa'] \\\\\n", "23 30 214493 0 ['Diomedes Diaz', 'Juancho Rois'] \\\\\n", "24 21 267840 0 ['Sangtraït'] \\\\\n", "25 58 2704053 0 ['littleONES'] \\\\\n", "26 34 190787 0 ['Geeta Dutt'] \\\\\n", "27 21 163840 0 ['The Alan Parsons Project'] \\\\\n", "28 69 191053 0 ['Brooks & Dunn', 'Luke Combs'] \\\\\n", "29 36 177267 0 ['Soda Stereo'] \\\\\n", "30 8 92867 0 ['Gene Kelly', 'Betty Noyes'] \\\\\n", "31 12 364280 0 ['Pyotr Ilyich Tchaikovsky', 'Alfredo... \\\\\n", "32 31 379987 0 ['Caetano Veloso'] \\\\\n", "33 22 382030 0 ['Silvio Rodríguez'] \\\\\n", "34 52 219742 1 ['Pole.', '333.Empty'] \\\\\n", "35 0 205473 0 ['Janabai Pawar'] \\\\\n", "36 55 132657 1 ['Radical'] \\\\\n", "37 22 216561 0 ['Peggy Zina'] \\\\\n", "38 41 546107 0 ['Vangelis'] \\\\\n", "39 1 197293 0 ['Grave Digger'] \\\\\n", "40 38 198960 0 ['Secret Service'] \\\\\n", "41 3 177613 0 ['Ruben Rada'] \\\\\n", "42 0 194154 0 ['Asha Bhosle', 'Mohammed Rafi'] \\\\\n", "43 37 205280 0 ['Di sma undar jordi'] \\\\\n", "44 33 294249 0 ['Sisters of Mercy'] \\\\\n", "45 32 132093 0 ['Slim Dusty'] \\\\\n", "46 0 726436 0 ['Tom Scott', 'The Vienna Orchestra',... \\\\\n", "47 26 213533 0 ['Vaya Con Dios'] \\\\\n", "48 0 178204 0 ['Zohrabai Ambalawali'] \\\\\n", "49 0 158145 0 ['Eddie South & His Orchestra', 'Eddi... \\\\\n", "50 0 309347 0 ['Stephen Douglass', 'Make a Wish Ens... \\\\\n", "51 5 211293 0 ['Linda Lewis'] \\\\\n", "52 14 53600 0 ['Die Originale'] \\\\\n", "53 0 166949 0 ['Latte Chill'] \\\\\n", "54 10 173035 0 ['Los Graduados'] \\\\\n", "55 5 250893 0 ['Judy Garland'] \\\\\n", "56 34 251646 1 ['2 Unlimited'] \\\\\n", "57 0 245957 1 ['Artemius Wolf'] \\\\\n", "58 11 777667 0 ['Wilkins'] \\\\\n", "59 31 232587 0 ['Elin Synnøve Bråthen'] \\\\\n", "60 21 336653 0 ['Nile Rodgers'] \\\\\n", "61 69 233267 0 ['The All-American Rejects'] \\\\\n", "62 22 193760 0 ['Nurit Galron', 'Yossi Banai'] \\\\\n", "63 27 120907 0 ['Johann Sebastian Bach', 'John Willi... \\\\\n", "64 36 143200 0 ['Alejandro Fernández'] \\\\\n", "65 10 182413 0 ['Thelonious Monk'] \\\\\n", "66 26 303120 0 ['Shlomo Artzi', 'Nurit Galron'] \\\\\n", "67 22 217267 0 ['Andre Hazes'] \\\\\n", "68 19 228573 0 ['M. G. Radhakrishnan', 'M. G. Sreeku... \\\\\n", "69 0 42267 0 ['Giuseppe Verdi', 'Arturo Toscanini'] \\\\\n", "70 44 293616 0 ['Los Gigantes Del Vallenato'] \\\\\n", "71 24 249160 0 ['Alcione'] \\\\\n", "72 41 290933 0 ['Neil Diamond'] \\\\\n", "73 32 213107 0 ['Carlos Vives'] \\\\\n", "74 47 196040 0 ['Captain Jack'] \\\\\n", "75 18 229227 0 ['Diomedes Diaz', 'El Cocha Molina'] \\\\\n", "76 38 193867 0 ['E-Type'] \\\\\n", "77 12 238707 0 ['Binomio de Oro'] \\\\\n", "78 82 222973 0 ['The Killers'] \\\\\n", "79 11 224627 0 ['Will Tura'] \\\\\n", "80 1 255547 0 ['江玲'] \\\\\n", "81 43 284973 0 ['Lisa Lisa & Cult Jam', 'Full Force'] \\\\\n", "82 27 236213 0 ['Gwen Stefani', 'Eve'] \\\\\n", "83 4 239867 0 ['So Cool'] \\\\\n", "84 4 223240 0 ['Tracy Huang'] \\\\\n", "85 0 184812 0 ['Fletcher Henderson'] \\\\\n", "86 0 107760 0 ['Margot Loyola'] \\\\\n", "87 31 204853 0 ['Tsegue-Maryam Guebrou'] \\\\\n", "88 2 121060 0 ['Georgette Heyer', 'Sarah Liu'] \\\\\n", "89 0 254640 0 ['Lalia Mourad'] \\\\\n", "90 5 392507 0 ['Busi Mhlongo', 'Twasa'] \\\\\n", "91 23 243533 0 ['Eifo HaYeled'] \\\\\n", "92 36 72223 0 ['Erik Eriksson', 'Sleep Solution for... \\\\\n", "93 0 72147 0 ['Johannes Brahms', 'Eugene Istomin'] \\\\\n", "94 31 186333 0 ['Petra'] \\\\\n", "95 19 251960 0 ['Pause'] \\\\\n", "96 43 171627 0 ['Vicente Garcia'] \\\\\n", "97 5 262840 0 ['Justin Bieber'] \\\\\n", "98 2 226853 0 ['Vera Blue'] \\\\\n", "99 17 140120 0 ['Globi'] \\\\\n", "100 39 260467 0 ['Pecos Kanvas'] \\\\\n", " id_artists release_date danceability \\\\\n", "1 ['3NyQ2NjqMjDtVSiEkXFW2r'] 2012-01-01 0.623 \\\\\n", "2 ['1KMHmX2PgvEl1nFzFmEdcZ'] 2005-05-03 0.624 \\\\\n", "3 ['5PbCQPKjb0wQwaE7i5OVC6'] 1977-07-11 0.572 \\\\\n", "4 ['4tpUmLEVLCGFr93o8hFFIB'] 1978-09-23 0.256 \\\\\n", "5 ['11PnNvuse5a0xPupBIeHyW'] 2006-07-08 0.619 \\\\\n", "6 ['2fi9hpqNbi5neTbKSqG0vW'] 1953-12-31 0.277 \\\\\n", "7 ['6nnspeopmJAG07xOxHmqTu'] 1980 0.619 \\\\\n", "8 ['3TozxPbDes76aGFdfv7PMv'] 2018-02-12 0.679 \\\\\n", "9 ['6FGFqtiMlC2k7ndP4yKtZJ'] 1982 0.61 \\\\\n", "10 ['1YzDKK9gJRBqqkL5wxQQTa', '3hN3iJMbb... 2017-12-22 0.72 \\\\\n", "11 ['4ko6Ysxtvx9EY9GEFslrIz', '3O0LgGoi4... 1995 0.826 \\\\\n", "12 ['3cM6lCTVP4FEIExql5ehur'] 1954-01-01 0.788 \\\\\n", "13 ['4dadMoMQOTGa96FlnhEzCi', '5fL4LVKRL... 1951 0.0753 \\\\\n", "14 ['1OxALTjNea16L7SSbbdntA'] 1975-01-01 0.715 \\\\\n", "15 ['5JsdVATHNPE0XdMFMRoSuf'] 1989-01-01 0.756 \\\\\n", "16 ['34jw2BbxjoYalTp8cJFCPv'] 1975 0.507 \\\\\n", "17 ['3qvcCP2J0fWi0m0uQDUf6r'] 2016-11-04 0.509 \\\\\n", "18 ['3XDaQwqzE0E8hb1qlDvvrg'] 1978-09-22 0.637 \\\\\n", "19 ['2jSGzJw0ebJLu7OLVSOcBP', '57FjeBC6m... 2011-08-23 0.777 \\\\\n", "20 ['5V0MlUE1Bft0mbLlND7FJz'] 1961-01-01 0.238 \\\\\n", "21 ['5CGtBYmVPeLhI1kM2Fn9Gv'] 1993-01-01 0.804 \\\\\n", "22 ['06R3opMhCs8yKsTKZfn6qN'] 1991-01-01 0.516 \\\\\n", "23 ['66NweiA3nU84k1S3SZdTSG', '0ZDAU5BLv... 2004 0.547 \\\\\n", "24 ['0T4rfoOZaBOSDm6DyGVGzF'] 1988-01-01 0.453 \\\\\n", "25 ['2p8rLc4EurmlEyJq770JPl'] 2016-10-08 0.111 \\\\\n", "26 ['0QsbYX8XslSSUcztc6u4pO'] 1954-01-01 0.555 \\\\\n", "27 ['2m62cc253Xvd9qYQ8d2X3d'] 1977 0.839 \\\\\n", "28 ['0XKOBt59crntr7HQXXO8Yz', '718COspgd... 2019-04-05 0.573 \\\\\n", "29 ['7An4yvF7hDYDolN4m5zKBp'] 1984-02-06 0.554 \\\\\n", "30 ['1mhlGWeiNrWnhJJc2EufYk', '3mLYVpwZg... 1952-04-11 0.16 \\\\\n", "31 ['3MKCzCnpzw3TjUYs2v7vDA', '7MKl2t1B7... 1953-01-01 0.192 \\\\\n", "32 ['7HGNYPmbDrMkylWqeFCOIQ'] 1977-01-01 0.556 \\\\\n", "33 ['4rUyBlggM5tZUH5QZn9ZuO'] 1984-01-01 0.503 \\\\\n", "34 ['7D62OQfwvslnxJn9DkZm2F', '1ft2nNENe... 2019-05-20 0.666 \\\\\n", "35 ['6vwLfhlHMzAuDHsp1xtmON'] 1937-12-31 0.426 \\\\\n", "36 ['4k6hMjEI3XFfMcRLCa9yd3'] 2018-08-23 0.706 \\\\\n", "37 ['4ut0QJyQkh4mrh3Cu6diKz'] 2009-01-01 0.748 \\\\\n", "38 ['4P70aqttdpJ9vuYFDmf7f6'] 1977 0.305 \\\\\n", "39 ['6mfghV4I1CD17FOhDKq7cJ'] 2016-05-27 0.252 \\\\\n", "40 ['3xmyGL7g6crcLsRy1TNOQU'] 2000-01-01 0.616 \\\\\n", "41 ['5AfGpwSbYKelc5nJjUVRmb'] 1969-08-23 0.4 \\\\\n", "42 ['5as8A4G47Ohu9NSWs3Je8U', '0gXDpqwYN... 1955-12-31 0.505 \\\\\n", "43 ['4nMn2UgtOPeVl1xyTh0Xir'] 1985-01-01 0.509 \\\\\n", "44 ['4HxBVyHaUa60eCSsJWxwWR'] 1990-03-01 0.641 \\\\\n", "45 ['0M4w6wFmaVFmP4lIndnEU5'] 2000-01-01 0.763 \\\\\n", "46 ['72ktMty33X1LsIzHdRr0U5', '2Q4AoMelk... 1955-01-01 0.203 \\\\\n", "47 ['0ODWsmNXtn928qhhEn87C8'] 1990-04-10 0.731 \\\\\n", "48 ['4IbxoDWYegersIEUCd9OcY'] 1945-12-31 0.676 \\\\\n", "49 ['2hcxl5KeTzq5z5KWdPcMMi', '1E1ti7Ttt... 1940 0.354 \\\\\n", "50 ['103gx064OcKkknnC8OrpNe', '2FXZDmxEe... 1951 0.389 \\\\\n", "51 ['5IrR4pNp1CQNk7pxlMOvFu'] 1971 0.691 \\\\\n", "52 ['0PCtW4w0RN89andUBQ3TVv'] 1972-09-11 0.606 \\\\\n", "53 ['3TcWMrT4GT6H95mspFncxF'] 2009-12-16 0.525 \\\\\n", "54 ['1JldSq8x5MHlqxHVMDEnlF'] 1977-01-01 0.745 \\\\\n", "55 ['0hItVPjwJLVZrFqOyIsxPf'] 1959-02-02 0.39 \\\\\n", "56 ['18JD8DVlD1fakDAw7E9LFC'] 1992-02-24 0.57 \\\\\n", "57 ['6AHGSLoRCZrOOtk2vMvF4n'] 2012-11-01 0.175 \\\\\n", "58 ['5Awnuu794580X3uHQGx78O'] 1983-06-10 0.466 \\\\\n", "59 ['4UbKt70l6utIvEDvLzWef5'] 2010-03-08 0.707 \\\\\n", "60 ['3yDIp0kaq9EFKe07X1X2rz'] 1983 0.898 \\\\\n", "61 ['3vAaWhdBR38Q02ohXqaNHT'] 2002-10-15 0.553 \\\\\n", "62 ['6tElujnqj1XntPgsnfPx7K', '0qyW8XnyY... 1988-01-01 0.574 \\\\\n", "63 ['5aIqB5nVVvmFsvSdExz408', '6mBYeMZZU... 1975 0.293 \\\\\n", "64 ['6sq1yF0OZEWA4xoXVKW1L9'] 1996 0.716 \\\\\n", "65 ['4PDpGtF16XpqvXxsrFwQnN'] 1952 0.461 \\\\\n", "66 ['2W0dQPsEPd0tz7cj95gUse', '6tElujnqj... 2000-04-09 0.65 \\\\\n", "67 ['04MtOUkmIDC4LAxDDBjrOY'] 1990-01-01 0.47 \\\\\n", "68 ['5L0RbvV13JHcxpbO7LxVAp', '3wjaprBWm... 1993-03-12 0.773 \\\\\n", "69 ['1JOQXgYdQV2yfrhewqx96o', '4xpgBZSoj... 1954 0.656 \\\\\n", "70 ['0P8EpsSMekkWtsX331Iebt'] 1999-03-17 0.801 \\\\\n", "71 ['0hPar6ePAELiu9rYMdvMEo'] 1978 0.693 \\\\\n", "72 ['7mEIug7XUlQHikrFxjTWes'] 1973-01-01 0.461 \\\\\n", "73 ['4vhNDa5ycK0ST968ek7kRr'] 2009-09-29 0.567 \\\\\n", "74 ['1b81zU0IfjHE8krv2IZ0Hf'] 2001 0.792 \\\\\n", "75 ['66NweiA3nU84k1S3SZdTSG', '3mGBnso9J... 1996 0.621 \\\\\n", "76 ['53I4RAzuXWvaO1vzrCBJbD'] 1995-01-01 0.566 \\\\\n", "77 ['6n21XaDAuqpceTXBiypR9W'] 1986-11-12 0.76 \\\\\n", "78 ['0C0XlULifJtAgn6ZNCW2eu'] 2004 0.352 \\\\\n", "79 ['4HS0xcnX3oDHfCLJpHlUT8'] 1989-01-01 0.749 \\\\\n", "80 ['1OMhQkdn6Ja8e2Nyj6nB88'] 1960-01-01 0.682 \\\\\n", "81 ['1vgjN6nIPNKiiQGE9PtzTT', '1iQS32l0N... 1985-06-01 0.48 \\\\\n", "82 ['4yiQZ8tQPux8cPriYMWUFP', '4d3yvTptO... 2004-11-23 0.856 \\\\\n", "83 ['4qKVhVoyPymnhT1XiXoTJy'] 2005-11-29 0.559 \\\\\n", "84 ['2P0OwKbtNXwKNEVLh4enPA'] 1979-04-30 0.705 \\\\\n", "85 ['2ovJLSejirvJybNers2YG6'] 1926 0.378 \\\\\n", "86 ['5Pwlzb0KM2YisXMkDJdv06'] 1956 0.764 \\\\\n", "87 ['1wJQvcfqhxMm2X6ErAZNrq'] 1963 0.22 \\\\\n", "88 ['66pXJ6MhX37ZLneiwUWZf3', '4HZ6DpleB... 1958 0.708 \\\\\n", "89 ['1XiL8cZLbwrQNSF5iI2GPs'] 1953-01-01 0.414 \\\\\n", "90 ['4QlgeNz8Uf8xF0f0LNjCbf', '3rxf0duzY... 1990-01-01 0.568 \\\\\n", "91 ['4tOEC0rfs2z2Sf1Tv2OKAg'] 2012 0.536 \\\\\n", "92 ['2c5WYCqQGs0UttiLCzVfOe', '52O2TNxyl... 2016-12-25 0.0 \\\\\n", "93 ['5wTAi7QkpP6kp8a54lmTOq', '0gE6uErl9... 1946 0.419 \\\\\n", "94 ['1LmsXfZSt1nutb8OCvt00G'] 1989 0.665 \\\\\n", "95 ['1pTiPuAABytFjsXsUwgsNE'] 1999 0.762 \\\\\n", "96 ['2Otnykd696YidQYfEGVmNq'] 2016-08-26 0.838 \\\\\n", "97 ['1uNFoZAHBGtllmzznpCI3s'] 2021-04-02 0.568 \\\\\n", "98 ['5ujrA1eZLDHR7yQ6FZa2qA'] 2020-09-25 0.683 \\\\\n", "99 ['7p5EwRiUqxJxnOCcULTHex'] 1995-06-20 0.683 \\\\\n", "100 ['2pg6yxVpoNN8yJSKHUgRw8'] 1993-11-01 0.774 \\\\\n", " energy key loudness mode speechiness \\\\\n", "1 0.599 6 -9.255 1 0.0255 \\\\\n", "2 0.766 2 -7.86 1 0.0731 \\\\\n", "3 0.608 7 -10.224 1 0.555 \\\\\n", "4 0.895 2 -4.86 1 0.0707 \\\\\n", "5 0.518 4 -5.392 0 0.0534 \\\\\n", "6 0.145 3 -19.898 1 0.0845 \\\\\n", "7 0.561 7 -8.377 0 0.0736 \\\\\n", "8 0.77 0 -3.537 1 0.19 \\\\\n", "9 0.91 6 -10.981 1 0.043 \\\\\n", "10 0.646 6 -7.691 0 0.106 \\\\\n", "11 0.827 1 -8.393 1 0.205 \\\\\n", "12 0.808 5 -6.59 1 0.0395 \\\\\n", "13 0.15 2 -16.705 0 0.0371 \\\\\n", "14 0.254 5 -15.459 1 0.0343 \\\\\n", "15 0.47 7 -12.615 1 0.0394 \\\\\n", "16 0.356 0 -14.24 1 0.0306 \\\\\n", "17 0.803 0 -6.743 1 0.04 \\\\\n", "18 0.353 1 -13.978 0 0.039 \\\\\n", "19 0.832 6 -3.982 0 0.0403 \\\\\n", "20 0.253 10 -13.898 1 0.0315 \\\\\n", "21 0.796 9 -8.616 1 0.032 \\\\\n", "22 0.295 7 -15.558 0 0.0662 \\\\\n", "23 0.731 11 -6.055 1 0.0737 \\\\\n", "24 0.688 5 -9.075 1 0.0556 \\\\\n", "25 0.376 10 -27.786 0 0.0863 \\\\\n", "26 0.533 3 -7.609 1 0.0372 \\\\\n", "27 0.406 7 -17.732 1 0.1 \\\\\n", "28 0.846 7 -4.866 1 0.0344 \\\\\n", "29 0.921 2 -4.589 1 0.0758 \\\\\n", "30 0.12 5 -15.244 1 0.0367 \\\\\n", "31 0.0763 3 -24.388 1 0.0425 \\\\\n", "32 0.315 1 -12.923 0 0.228 \\\\\n", "33 0.233 10 -16.827 1 0.0675 \\\\\n", "34 0.554 11 -10.353 1 0.0325 \\\\\n", "35 0.0884 3 -10.925 1 0.0639 \\\\\n", "36 0.473 0 -8.085 0 0.0926 \\\\\n", "37 0.865 8 -5.663 0 0.0327 \\\\\n", "38 0.234 1 -18.255 1 0.0259 \\\\\n", "39 0.877 0 -7.876 0 0.0481 \\\\\n", "40 0.819 5 -4.109 1 0.0303 \\\\\n", "41 0.391 6 -10.487 1 0.0276 \\\\\n", "42 0.419 3 -10.511 0 0.316 \\\\\n", "43 0.715 7 -6.419 1 0.176 \\\\\n", "44 0.854 9 -9.109 0 0.0291 \\\\\n", "45 0.881 5 -7.409 1 0.0311 \\\\\n", "46 0.107 4 -21.175 0 0.0399 \\\\\n", "47 0.39 9 -12.023 0 0.0286 \\\\\n", "48 0.245 6 -10.906 0 0.0945 \\\\\n", "49 0.353 9 -12.506 1 0.068 \\\\\n", "50 0.312 7 -9.839 1 0.04 \\\\\n", "51 0.4 4 -8.828 1 0.0367 \\\\\n", "52 0.954 3 -5.939 0 0.934 \\\\\n", "53 0.659 9 -14.273 0 0.0314 \\\\\n", "54 0.586 10 -6.647 1 0.0627 \\\\\n", "55 0.699 7 -9.87 1 0.807 \\\\\n", "56 0.881 7 -12.808 1 0.0483 \\\\\n", "57 0.0682 5 -16.955 1 0.0419 \\\\\n", "58 0.419 0 -10.342 1 0.0371 \\\\\n", "59 0.266 1 -12.338 1 0.0307 \\\\\n", "60 0.739 9 -7.487 0 0.0605 \\\\\n", "61 0.717 7 -5.857 1 0.0318 \\\\\n", "62 0.59 7 -7.879 0 0.0241 \\\\\n", "63 0.186 7 -27.67 1 0.0419 \\\\\n", "64 0.33 5 -11.764 0 0.0413 \\\\\n", "65 0.454 7 -8.499 1 0.0419 \\\\\n", "66 0.83 0 -5.758 0 0.0281 \\\\\n", "67 0.712 5 -5.462 1 0.0317 \\\\\n", "68 0.587 7 -12.196 1 0.039 \\\\\n", "69 0.518 4 -18.673 1 0.101 \\\\\n", "70 0.555 6 -7.871 1 0.0321 \\\\\n", "71 0.57 0 -9.949 0 0.0309 \\\\\n", "72 0.32 0 -16.337 1 0.0327 \\\\\n", "73 0.603 7 -8.223 1 0.044 \\\\\n", "74 0.952 2 -6.749 1 0.055 \\\\\n", "75 0.817 4 -3.34 1 0.0526 \\\\\n", "76 0.95 2 -9.146 0 0.0376 \\\\\n", "77 0.746 2 -5.179 1 0.271 \\\\\n", "78 0.911 1 -5.23 1 0.0747 \\\\\n", "79 0.756 9 -6.095 1 0.0374 \\\\\n", "80 0.262 5 -14.67 0 0.0495 \\\\\n", "81 0.435 1 -9.959 1 0.0305 \\\\\n", "82 0.754 7 -2.728 0 0.0416 \\\\\n", "83 0.713 8 -4.029 0 0.0318 \\\\\n", "84 0.584 9 -9.997 1 0.0296 \\\\\n", "85 0.598 3 -6.381 1 0.0434 \\\\\n", "86 0.302 2 -14.698 1 0.037 \\\\\n", "87 0.0447 4 -25.514 1 0.0384 \\\\\n", "88 0.178 10 -17.491 1 0.958 \\\\\n", "89 0.425 2 -9.299 1 0.0378 \\\\\n", "90 0.62 11 -11.878 0 0.0274 \\\\\n", "91 0.506 0 -9.836 1 0.0277 \\\\\n", "92 0.00125 1 -27.592 1 0.0 \\\\\n", "93 0.0874 3 -27.612 0 0.0419 \\\\\n", "94 0.5 7 -9.579 0 0.0345 \\\\\n", "95 0.824 7 -7.571 1 0.0723 \\\\\n", "96 0.703 1 -6.195 0 0.05 \\\\\n", "97 0.517 6 -7.316 0 0.0894 \\\\\n", "98 0.572 7 -7.086 1 0.0447 \\\\\n", "99 0.479 1 -11.574 1 0.942 \\\\\n", "100 0.634 0 -11.401 0 0.0487 \\\\\n", " acousticness instrumentalness liveness valence \\\\\n", "1 0.177 0.00148 0.0748 0.381 \\\\\n", "2 0.345 0.0 0.113 0.548 \\\\\n", "3 0.642 0.00022 0.344 0.559 \\\\\n", "4 0.0131 0.000106 0.0821 0.555 \\\\\n", "5 0.805 0.0 0.102 0.314 \\\\\n", "6 0.98 0.879 0.111 0.494 \\\\\n", "7 0.438 4.17e-05 0.126 0.696 \\\\\n", "8 0.0583 0.0 0.0825 0.839 \\\\\n", "9 0.0606 0.0828 0.148 0.775 \\\\\n", "10 0.237 0.0 0.127 0.0958 \\\\\n", "11 0.0106 4.62e-05 0.17 0.49 \\\\\n", "12 0.656 0.0 0.154 0.969 \\\\\n", "13 0.302 0.884 0.121 0.0351 \\\\\n", "14 0.878 0.0 0.0867 0.559 \\\\\n", "15 0.196 0.000487 0.126 0.43 \\\\\n", "16 0.339 0.0 0.18 0.472 \\\\\n", "17 0.684 0.000539 0.463 0.651 \\\\\n", "18 0.233 8.44e-06 0.102 0.662 \\\\\n", "19 0.334 1.08e-05 0.0765 0.72 \\\\\n", "20 0.877 0.0 0.0748 0.164 \\\\\n", "21 0.319 0.000127 0.0987 0.965 \\\\\n", "22 0.676 0.0 0.195 0.881 \\\\\n", "23 0.206 0.0 0.0939 0.965 \\\\\n", "24 0.0267 5.21e-06 0.293 0.42 \\\\\n", "25 0.566 0.716 0.31 1e-05 \\\\\n", "26 0.802 0.211 0.27 0.882 \\\\\n", "27 0.0555 2.39e-05 0.107 0.559 \\\\\n", "28 0.0037 7.87e-05 0.29 0.562 \\\\\n", "29 0.0194 0.0881 0.329 0.7 \\\\\n", "30 0.915 0.00024 0.28 0.162 \\\\\n", "31 0.951 0.284 0.0702 0.0554 \\\\\n", "32 0.151 0.0 0.102 0.364 \\\\\n", "33 0.813 0.0129 0.546 0.153 \\\\\n", "34 0.67 0.00025 0.0631 0.414 \\\\\n", "35 0.988 0.00113 0.393 0.396 \\\\\n", "36 0.984 0.0242 0.106 0.59 \\\\\n", "37 0.18 0.0 0.133 0.879 \\\\\n", "38 0.752 0.929 0.132 0.078 \\\\\n", "39 0.0001 0.0807 0.0685 0.332 \\\\\n", "40 0.0025 0.000114 0.215 0.962 \\\\\n", "41 0.485 1.18e-05 0.118 0.401 \\\\\n", "42 0.983 0.0512 0.148 0.654 \\\\\n", "43 0.0251 0.0 0.419 0.833 \\\\\n", "44 0.0017 0.348 0.325 0.871 \\\\\n", "45 0.596 3.11e-05 0.148 0.987 \\\\\n", "46 0.925 0.832 0.112 0.0375 \\\\\n", "47 0.421 2.55e-06 0.0785 0.696 \\\\\n", "48 0.995 0.571 0.134 0.748 \\\\\n", "49 0.985 0.278 0.0957 0.649 \\\\\n", "50 0.919 4.08e-06 0.425 0.289 \\\\\n", "51 0.755 0.000125 0.11 0.716 \\\\\n", "52 0.959 0.0 0.915 0.288 \\\\\n", "53 0.218 0.865 0.119 0.739 \\\\\n", "54 0.629 0.000382 0.34 0.95 \\\\\n", "55 0.797 0.0 0.7 0.791 \\\\\n", "56 0.0007 0.19 0.334 0.623 \\\\\n", "57 0.937 0.888 0.226 0.0354 \\\\\n", "58 0.698 6.09e-05 0.209 0.277 \\\\\n", "59 0.766 3.72e-05 0.105 0.473 \\\\\n", "60 0.225 0.000128 0.285 0.883 \\\\\n", "61 0.0001 0.128 0.0385 0.318 \\\\\n", "62 0.0844 0.0 0.0676 0.346 \\\\\n", "63 0.989 0.848 0.109 0.796 \\\\\n", "64 0.57 1.79e-05 0.138 0.554 \\\\\n", "65 0.797 0.00612 0.107 0.298 \\\\\n", "66 0.106 0.0 0.318 0.632 \\\\\n", "67 0.164 0.0 0.225 0.28 \\\\\n", "68 0.829 3.94e-05 0.0719 0.86 \\\\\n", "69 0.987 0.132 0.762 0.932 \\\\\n", "70 0.461 0.0 0.236 0.806 \\\\\n", "71 0.38 0.0 0.28 0.855 \\\\\n", "72 0.266 3.5e-06 0.211 0.487 \\\\\n", "73 0.317 3.7e-05 0.13 0.681 \\\\\n", "74 0.134 0.000263 0.254 0.968 \\\\\n", "75 0.509 0.0 0.156 0.976 \\\\\n", "76 0.0035 0.00493 0.227 0.759 \\\\\n", "77 0.322 2.04e-06 0.0457 0.892 \\\\\n", "78 0.0012 0.0 0.0995 0.236 \\\\\n", "79 0.0061 0.0 0.0332 0.861 \\\\\n", "80 0.765 0.0 0.228 0.598 \\\\\n", "81 0.207 5.83e-06 0.196 0.328 \\\\\n", "82 0.0294 1.49e-05 0.206 0.722 \\\\\n", "83 0.123 0.0 0.1 0.734 \\\\\n", "84 0.158 5.39e-06 0.234 0.831 \\\\\n", "85 0.996 0.607 0.43 0.649 \\\\\n", "86 0.911 0.000446 0.261 0.829 \\\\\n", "87 0.995 0.941 0.101 0.197 \\\\\n", "88 0.608 0.0 0.234 0.561 \\\\\n", "89 0.891 0.0164 0.37 0.533 \\\\\n", "90 0.58 0.00539 0.0846 0.418 \\\\\n", "91 0.0009 0.0 0.0964 0.306 \\\\\n", "92 0.908 1.0 0.111 0.0 \\\\\n", "93 0.995 0.922 0.12 0.507 \\\\\n", "94 0.0862 2.33e-06 0.104 0.95 \\\\\n", "95 0.155 9.56e-05 0.097 0.756 \\\\\n", "96 0.768 1.56e-06 0.0861 0.658 \\\\\n", "97 0.146 0.0 0.343 0.578 \\\\\n", "98 0.11 1.54e-05 0.0895 0.583 \\\\\n", "99 0.367 0.0 0.337 0.707 \\\\\n", "100 0.2 0.00976 0.22 0.933 \\\\\n", " tempo time_signature \n", "1 140.056 4 \n", "2 95.128 4 \n", "3 106.453 4 \n", "4 191.307 4 \n", "5 143.757 3 \n", "6 75.644 4 \n", "7 88.94 4 \n", "8 161.721 4 \n", "9 129.639 4 \n", "10 80.013 4 \n", "11 92.137 4 \n", "12 113.046 4 \n", "13 76.558 3 \n", "14 94.205 4 \n", "15 120.484 4 \n", "16 134.248 4 \n", "17 166.018 4 \n", "18 139.209 3 \n", "19 94.964 4 \n", "20 90.855 4 \n", "21 113.964 4 \n", "22 150.542 3 \n", "23 159.801 4 \n", "24 120.953 4 \n", "25 95.28 5 \n", "26 82.68 4 \n", "27 139.367 4 \n", "28 127.061 4 \n", "29 183.571 1 \n", "30 169.722 1 \n", "31 91.097 3 \n", "32 129.998 4 \n", "33 129.254 4 \n", "34 130.052 4 \n", "35 80.21 3 \n", "36 87.412 4 \n", "37 138.018 4 \n", "38 82.453 3 \n", "39 103.784 4 \n", "40 126.816 4 \n", "41 83.459 4 \n", "42 134.658 3 \n", "43 178.144 4 \n", "44 121.244 4 \n", "45 143.164 4 \n", "46 107.391 4 \n", "47 97.397 4 \n", "48 75.444 4 \n", "49 152.424 4 \n", "50 119.479 4 \n", "51 121.355 4 \n", "52 76.856 3 \n", "53 128.002 4 \n", "54 90.111 4 \n", "55 164.58 4 \n", "56 128.91 4 \n", "57 118.248 4 \n", "58 122.637 4 \n", "59 92.008 4 \n", "60 113.884 4 \n", "61 127.947 4 \n", "62 102.683 4 \n", "63 152.045 4 \n", "64 117.835 4 \n", "65 142.197 4 \n", "66 132.353 4 \n", "67 146.181 4 \n", "68 130.138 4 \n", "69 142.216 3 \n", "70 142.343 4 \n", "71 123.193 4 \n", "72 134.881 3 \n", "73 159.934 4 \n", "74 106.009 4 \n", "75 155.129 4 \n", "76 148.029 4 \n", "77 137.078 4 \n", "78 148.033 4 \n", "79 122.414 4 \n", "80 123.795 4 \n", "81 144.435 4 \n", "82 98.018 4 \n", "83 164.048 4 \n", "84 98.844 4 \n", "85 198.492 4 \n", "86 117.191 3 \n", "87 68.349 4 \n", "88 100.121 3 \n", "89 98.013 4 \n", "90 100.897 3 \n", "91 83.462 4 \n", "92 0.0 0 \n", "93 64.008 5 \n", "94 119.969 4 \n", "95 98.072 4 \n", "96 104.982 4 \n", "97 104.441 4 \n", "98 100.035 4 \n", "99 76.782 1 \n", "100 119.953 4 \n", "Rows: 1-100 | Columns: 20" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "display(artists)\n", "display(tracks)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Data Exploration" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The \"artists\" dataset is too broad for us to use right now; we're only concerned with Polish artists, so let's extract and save them to our Vertica database." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
Abc
id
Varchar(44)
123
followers
Numeric(7,2)
Abc
Varchar(36)
Abc
Varchar(114)
123
popularity
Integer
1004reCzVFOidvBuYrYia9Y12726.027
200drc18J6PkIXn24widBC53.00
300ekfPE5ZS3NwF8H8o8GBk17574.047
40138Hlfmap3fEvKTqmZhE91289.05
5018gIUaP08hROTOiVdiEQ3584.08
601BlTZ696EkKe6xr56Gu6G362.03
701TgMAgIALWvVXlKjUwpfn1063.09
80244q9rIqAIzBFXKNNRN6O27393.040
902Cq85QmaYHDi4dW7AxTRZ749.09
1002ESuuto8Jwyo4PeiJ1Xim149.01
1102JmHOSFJi2bLjGnO274di8817.031
1202LrsTMdnHVvKmXxN0epQF753.022
1302eZEXslMzAjHDkygNJHSX8010.026
1402keDoJak6YO12KBJFMFNm1873.015
1502tQ309SzZZ0bYs2yyO60G11734.030
160338weYyACbkc5ERuLnFTa270.017
17033WIygOyXwUjc1vfCGxJ2126.00
1803Dy3XKBUsC3vJLCuF0T7I152.01
1903KLzHVK6la8dVop1iVI5x63817.050
2003ZzgzybQr8UyvWCMSCvRy1363.014
2103jLJnyfZXs1ssrIALfGRm2633.022
2203ohDYwWFrXfgp0VEtSTiF706.09
2303qKjVTzyKc3SyTjHaOpFc2376.022
2403rREATXGWcD2CfG3OXDZY10155.044
2503xKZpOUZOQjf7g5WBN4ee3676.030
2603yP3BHBnpGyvddEoIGnsx2089.016
2704Lio76CKJCMPbK5hV6J4w1876.05
2804Loj16dRX1yZodeEQlCOv308.01
2904WxKoI0kS5JclvQ8rn8qp13.00
3004bDWf1u7HxKdskC3N2nIk27127.037
3105AVHcWP9DF6y6LEU845uz1545.015
3205Fgqq7GfWeNol1TR5H3og15868.035
3305UsyksBcAUVdfyREMxbDm295.011
34063D0MKbIbbBjKgtYRGBga7458.036
350690wuO0NVERuqxuoi2mTF319.04
3606O52v4thQuBoLC6jWatGW21.00
3706UcKJxYJXthEwn0c8XOCt11024.020
3806wBGqhkbyUAtVNMbbcK1x607.08
39070tdNOiP3pIsGlqNfVkG386130.051
40072HrG3T5BaaBj4YhKIkxv1166.08
4107ILo13zpakvXxTL3VtqwS540.010
42098RsUTij7grC7evZUhWwA720.031
4309MjLGtslj39ILxA1MqUny556.07
4409ScR35g0VzipHacuPtXZd440.07
4509Z3SI4GkhYjpCB6884vC810395.025
4609j4UTVH7vk7fVfVB71roU348.01
4709u3N07jllcbrnkvjxNBSl1117.015
480AYJ3eg4zKi9ilGrhVaINs2186.018
490AZgkXW6n0zfyOhVAnIopA1109.033
500At3wjxYzZL9WwqbFR0JL824.00
510BBB9DjvskQV0oReJMxTP130889.045
520BQIhJ61mCyaOrVrMJ7e8k5.00
530CEw36eWG0dYKCXOX8eUoO77804.047
540CI4rQj50Dcr30HpiD2LF6165.08
550CgCy79P84g1meaXcwwFqZ80.00
560CsrftI3Zs3nvfSW6MRglc50.00
570D5kXlS7UOApMpTyuSrFAW40370.039
580D9mwbJP5sUH7XYXg4F7u9580.04
590E6TslMisIITlZ1QjjPXeo110.00
600EDBV0NVPOftbsEM0fg7WZ2004.018
610EMDndPZcpfg9Qqgos0S7G73.00
620EPzUAW8kwuPedmmVP6n9S99964.053
630EQaqT3oKtxAGR0Y5c1Jme3572.011
640EYfWGAHPugeWUKKvoMU79336.04
650EalHNt7jDL6Tc7XSunjXu21.00
660Emf6MyFoCjKazTqoaUu6T1107.08
670EvkY8O19trlgsfrVOTQgg26661.031
680F1DvSOKRaSA6XKSwDNs4010792.045
690FKOL5wp6sgB8VRNsJaUlz430.05
700FbccBQBb69lfv4arbt6kX9237.036
710G2VUqbZ4C28aN9y41Wp3G1186.017
720G6miz5dLrc3NZWi4ZYdJK2813.035
730GF5CJ7nKXsMTiWHK4ZQJN30925.046
740GPJYkHJm0Fpbhjovpm1h12261.041
750GPfyyiTlLdG6rQthueRBM682.026
760GQZc3zcll9HXIVaUA1XzJ11211.032
770Gfk7Ww29CWVyrnkqC4KUt7.00
780GnO5BjJfHFwkesoObGU3661.01
790GsCeqHAG63k8CRj1NH8e4164.00
800GxARImYCmCNz0v04YjPq2179.01
810GykMtlKoc68Hj2jwZLXul79213.049
820HC5DGqdUzXorIXUudkeWG1805.029
830HLMuuBFA7R4boMxVl9QgQ9967.029
840HTub0NhKSRgggtmJBP9aR59.00
850HZL4dV60t13CHasIHwaLP385.04
860HhejlCvg1WCO9nXNZGEkc144.01
870Hob9LUr2x0SULSZjuf6li10701.042
880Id5ZU9SxHcgE32nfJMTbh259.019
890It4rGfBk31UDyK9x6uZvP3056.013
900IuXBtCmOjyRjzbfJmfKHa13.00
910Jl6TFKAJR7zIv2kvA1RNf60054.040
920K0Sa7amVwCmQKz7ZHRRim3005.029
930KNOQSBwQim4GXpZHekrvu1728.047
940KTn3DOb57GcGjPoA09ABL4.00
950KZLEvrZHdqVDKdclXRVK07.00
960KirHnU7pIfeMYWSJ6xm8I1309.012
970Ks3WKQ64ZmWa3QkbbeCbj129.00
980LcUNEKY8mVqNmYfrgZrxl5803.024
990M5UiR76X2ybfo6N9iVNWr27540.036
1000M82iosyReYC1ij8svj14549.00
Rows: 1-100 | Columns: 5
" ], "text/plain": [ " id followers genres \\\\\n", "1 004reCzVFOidvBuYrYia9Y 12726.0 ['polish punk'] \\\\\n", "2 00drc18J6PkIXn24widBC5 3.0 ['polish ambient'] \\\\\n", "3 00ekfPE5ZS3NwF8H8o8GBk 17574.0 ['disco polo'] \\\\\n", "4 0138Hlfmap3fEvKTqmZhE9 1289.0 ['polish metal'] \\\\\n", "5 018gIUaP08hROTOiVdiEQ3 584.0 ['polish black metal'] \\\\\n", "6 01BlTZ696EkKe6xr56Gu6G 362.0 ['polish free jazz'] \\\\\n", "7 01TgMAgIALWvVXlKjUwpfn 1063.0 ['polish alternative rock', 'polish \\\\\n", "8 0244q9rIqAIzBFXKNNRN6O 27393.0 ['classic polish pop', 'polish pop'] \\\\\n", "9 02Cq85QmaYHDi4dW7AxTRZ 749.0 ['polish electronica'] \\\\\n", "10 02ESuuto8Jwyo4PeiJ1Xim 149.0 ['polish synthpop'] \\\\\n", "11 02JmHOSFJi2bLjGnO274di 8817.0 ['polish punk', 'szanty'] \\\\\n", "12 02LrsTMdnHVvKmXxN0epQF 753.0 ['deep soundtrack', 'polish synthpop \\\\\n", "13 02eZEXslMzAjHDkygNJHSX 8010.0 ['polish trap'] \\\\\n", "14 02keDoJak6YO12KBJFMFNm 1873.0 ['polish punk', 'polish reggae'] \\\\\n", "15 02tQ309SzZZ0bYs2yyO60G 11734.0 ['polish hip hop'] \\\\\n", "16 0338weYyACbkc5ERuLnFTa 270.0 ['classic polish pop'] \\\\\n", "17 033WIygOyXwUjc1vfCGxJ2 126.0 ['polish black metal'] \\\\\n", "18 03Dy3XKBUsC3vJLCuF0T7I 152.0 ['polish jazz'] \\\\\n", "19 03KLzHVK6la8dVop1iVI5x 63817.0 ['poezja spiewana', 'polish alternat \\\\\n", "20 03ZzgzybQr8UyvWCMSCvRy 1363.0 ['polish noise rock'] \\\\\n", "21 03jLJnyfZXs1ssrIALfGRm 2633.0 ['classic polish pop'] \\\\\n", "22 03ohDYwWFrXfgp0VEtSTiF 706.0 ['polish thrash metal'] \\\\\n", "23 03qKjVTzyKc3SyTjHaOpFc 2376.0 ['neo-progressive', 'polish prog'] \\\\\n", "24 03rREATXGWcD2CfG3OXDZY 10155.0 ['polish alternative rap', 'polish h \\\\\n", "25 03xKZpOUZOQjf7g5WBN4ee 3676.0 ['polish alternative', 'polish indie \\\\\n", "26 03yP3BHBnpGyvddEoIGnsx 2089.0 ['polish black metal'] \\\\\n", "27 04Lio76CKJCMPbK5hV6J4w 1876.0 ['black noise', 'polish black metal' \\\\\n", "28 04Loj16dRX1yZodeEQlCOv 308.0 ['polish jazz'] \\\\\n", "29 04WxKoI0kS5JclvQ8rn8qp 13.0 ['polish contemporary classical'] \\\\\n", "30 04bDWf1u7HxKdskC3N2nIk 27127.0 ['polish metal', 'polish punk', 'pol \\\\\n", "31 05AVHcWP9DF6y6LEU845uz 1545.0 ['classic polish pop'] \\\\\n", "32 05Fgqq7GfWeNol1TR5H3og 15868.0 ['polish pop'] \\\\\n", "33 05UsyksBcAUVdfyREMxbDm 295.0 ['disco polo'] \\\\\n", "34 063D0MKbIbbBjKgtYRGBga 7458.0 ['polish alternative', 'polish elect \\\\\n", "35 0690wuO0NVERuqxuoi2mTF 319.0 ['polish ambient', 'polish experimen \\\\\n", "36 06O52v4thQuBoLC6jWatGW 21.0 ['polish free jazz'] \\\\\n", "37 06UcKJxYJXthEwn0c8XOCt 11024.0 ['dark black metal', 'polish black m \\\\\n", "38 06wBGqhkbyUAtVNMbbcK1x 607.0 ['polish folk'] \\\\\n", "39 070tdNOiP3pIsGlqNfVkG3 86130.0 ['polish hip hop'] \\\\\n", "40 072HrG3T5BaaBj4YhKIkxv 1166.0 ['polish alternative rock'] \\\\\n", "41 07ILo13zpakvXxTL3VtqwS 540.0 ['disco polo'] \\\\\n", "42 098RsUTij7grC7evZUhWwA 720.0 ['polish trap'] \\\\\n", "43 09MjLGtslj39ILxA1MqUny 556.0 ['polish hip hop'] \\\\\n", "44 09ScR35g0VzipHacuPtXZd 440.0 ['polish modern jazz'] \\\\\n", "45 09Z3SI4GkhYjpCB6884vC8 10395.0 ['polish alternative', 'polish indie \\\\\n", "46 09j4UTVH7vk7fVfVB71roU 348.0 ['polish indie', 'polish indie rock' \\\\\n", "47 09u3N07jllcbrnkvjxNBSl 1117.0 ['polish psychedelia'] \\\\\n", "48 0AYJ3eg4zKi9ilGrhVaINs 2186.0 ['polish jazz', 'polish modern jazz' \\\\\n", "49 0AZgkXW6n0zfyOhVAnIopA 1109.0 ['polish alternative'] \\\\\n", "50 0At3wjxYzZL9WwqbFR0JL8 24.0 ['polish jazz'] \\\\\n", "51 0BBB9DjvskQV0oReJMxTP1 30889.0 ['polish alternative rap'] \\\\\n", "52 0BQIhJ61mCyaOrVrMJ7e8k 5.0 ['polish ambient'] \\\\\n", "53 0CEw36eWG0dYKCXOX8eUoO 77804.0 ['polish pop'] \\\\\n", "54 0CI4rQj50Dcr30HpiD2LF6 165.0 ['polish classical piano'] \\\\\n", "55 0CgCy79P84g1meaXcwwFqZ 80.0 ['polish free jazz'] \\\\\n", "56 0CsrftI3Zs3nvfSW6MRglc 50.0 ['polish ambient'] \\\\\n", "57 0D5kXlS7UOApMpTyuSrFAW 40370.0 ['polish punk', 'polish rock', 'pozn \\\\\n", "58 0D9mwbJP5sUH7XYXg4F7u9 580.0 ['polish black metal'] \\\\\n", "59 0E6TslMisIITlZ1QjjPXeo 110.0 ['polish prog'] \\\\\n", "60 0EDBV0NVPOftbsEM0fg7WZ 2004.0 ['polish alternative rock'] \\\\\n", "61 0EMDndPZcpfg9Qqgos0S7G 73.0 ['polish post-punk'] \\\\\n", "62 0EPzUAW8kwuPedmmVP6n9S 99964.0 ['polish hip hop'] \\\\\n", "63 0EQaqT3oKtxAGR0Y5c1Jme 3572.0 ['polish jazz'] \\\\\n", "64 0EYfWGAHPugeWUKKvoMU79 336.0 ['polish post-punk'] \\\\\n", "65 0EalHNt7jDL6Tc7XSunjXu 21.0 ['polish post-rock'] \\\\\n", "66 0Emf6MyFoCjKazTqoaUu6T 1107.0 ['polish jazz'] \\\\\n", "67 0EvkY8O19trlgsfrVOTQgg 26661.0 ['polish blues', 'polish punk', 'pol \\\\\n", "68 0F1DvSOKRaSA6XKSwDNs40 10792.0 ['polish alternative', 'polish pop'] \\\\\n", "69 0FKOL5wp6sgB8VRNsJaUlz 430.0 ['disco polo'] \\\\\n", "70 0FbccBQBb69lfv4arbt6kX 9237.0 ['polish alternative', 'polish indie \\\\\n", "71 0G2VUqbZ4C28aN9y41Wp3G 1186.0 ['polish jazz'] \\\\\n", "72 0G6miz5dLrc3NZWi4ZYdJK 2813.0 ['disco polo'] \\\\\n", "73 0GF5CJ7nKXsMTiWHK4ZQJN 30925.0 ['polish pop'] \\\\\n", "74 0GPJYkHJm0Fpbhjovpm1h1 2261.0 ['polish synthpop'] \\\\\n", "75 0GPfyyiTlLdG6rQthueRBM 682.0 ['disco polo'] \\\\\n", "76 0GQZc3zcll9HXIVaUA1XzJ 11211.0 ['polish reggae'] \\\\\n", "77 0Gfk7Ww29CWVyrnkqC4KUt 7.0 ['polish punk'] \\\\\n", "78 0GnO5BjJfHFwkesoObGU36 61.0 ['polish modern jazz'] \\\\\n", "79 0GsCeqHAG63k8CRj1NH8e4 164.0 ['polish alternative rock', 'polish \\\\\n", "80 0GxARImYCmCNz0v04YjPq2 179.0 ['polish indie'] \\\\\n", "81 0GykMtlKoc68Hj2jwZLXul 79213.0 ['classic polish pop', 'polish alter \\\\\n", "82 0HC5DGqdUzXorIXUudkeWG 1805.0 ['polish classical', 'post-romantic \\\\\n", "83 0HLMuuBFA7R4boMxVl9QgQ 9967.0 ['polish alternative', 'polish indie \\\\\n", "84 0HTub0NhKSRgggtmJBP9aR 59.0 ['polish techno'] \\\\\n", "85 0HZL4dV60t13CHasIHwaLP 385.0 ['polish post-rock', 'poznan indie'] \\\\\n", "86 0HhejlCvg1WCO9nXNZGEkc 144.0 ['polish experimental electronic'] \\\\\n", "87 0Hob9LUr2x0SULSZjuf6li 10701.0 ['disco polo'] \\\\\n", "88 0Id5ZU9SxHcgE32nfJMTbh 259.0 ['polish trap'] \\\\\n", "89 0It4rGfBk31UDyK9x6uZvP 3056.0 ['melodic black metal', 'polish blac \\\\\n", "90 0IuXBtCmOjyRjzbfJmfKHa 13.0 ['polish ambient'] \\\\\n", "91 0Jl6TFKAJR7zIv2kvA1RNf 60054.0 ['polish pop'] \\\\\n", "92 0K0Sa7amVwCmQKz7ZHRRim 3005.0 ['polish pop'] \\\\\n", "93 0KNOQSBwQim4GXpZHekrvu 1728.0 ['polish trap'] \\\\\n", "94 0KTn3DOb57GcGjPoA09ABL 4.0 ['polish techno'] \\\\\n", "95 0KZLEvrZHdqVDKdclXRVK0 7.0 ['polish techno'] \\\\\n", "96 0KirHnU7pIfeMYWSJ6xm8I 1309.0 ['polish blues'] \\\\\n", "97 0Ks3WKQ64ZmWa3QkbbeCbj 129.0 ['polish indie'] \\\\\n", "98 0LcUNEKY8mVqNmYfrgZrxl 5803.0 ['disco polo'] \\\\\n", "99 0M5UiR76X2ybfo6N9iVNWr 27540.0 ['polish pop'] \\\\\n", "100 0M82iosyReYC1ij8svj145 49.0 ['polish ambient'] \\\\\n", " name popularity \n", "1 Zielone Żabki 27 \n", "2 Nasoshnik 0 \n", "3 Mig 47 \n", "4 Animations 5 \n", "5 Massemord 8 \n", "6 Mazzoll 3 \n", "7 Radio Bagdad 9 \n", "8 Ryszard Rynkowski 40 \n", "9 Evorevo 9 \n", "10 Polpo Motel 1 \n", "11 Spięty 31 \n", "12 Andrzej Korzyñski 22 \n", "13 Popkiller Młode Wilki 5 26 \n", "14 Skampararas 15 \n", "15 Buczer 30 \n", "16 Iwona Loranc 17 \n", "17 Demonic Slaughter 0 \n", "18 Chromosomos 1 \n", "19 Natalia Przybysz 50 \n", "20 Zwidy 14 \n", "21 Krzysztof Daukszewicz 22 \n", "22 RAGEHAMMER 9 \n", "23 Millenium 22 \n", "24 Bober 44 \n", "25 Sonar 30 \n", "26 Over the Voids... 16 \n", "27 Thaw 5 \n", "28 Andrzej Trzaskowski 1 \n", "29 Boleslaw Szabelski 0 \n", "30 Acid Drinkers 37 \n", "31 Mariusz Lubomski 15 \n", "32 Honorata Skarbek 35 \n", "33 Cassel 11 \n", "34 Baasch 36 \n", "35 Mirt 4 \n", "36 Magnolia Acoustic Quartet 0 \n", "37 Blaze of Perdition 20 \n", "38 Krzikopa 8 \n", "39 Bonus RPK 51 \n", "40 Agressiva 69 8 \n", "41 Andre$ 10 \n", "42 SOSO 31 \n", "43 Bezimienni 7 \n", "44 Pawel Kaczmarczyk 7 \n", "45 Muchy 25 \n", "46 Iowa Super Soccer 1 \n", "47 Shy Albatross 15 \n", "48 Marek Napiórkowski 18 \n", "49 LUNA 33 \n", "50 Tomek Sowinski and the Collective Imp... 0 \n", "51 Jano Polska Wersja 45 \n", "52 Matowy 0 \n", "53 Agnieszka Chylinska 47 \n", "54 Wojciech Świtała 8 \n", "55 Obara International 0 \n", "56 Nmls 0 \n", "57 Luxtorpeda 39 \n", "58 Xantotol 4 \n", "59 Dianoya 0 \n", "60 Deriglasoff 18 \n", "61 This Cold 0 \n", "62 Deys 53 \n", "63 Komeda Quintet 11 \n", "64 1984 4 \n", "65 Papertree 0 \n", "66 Adam Makowicz 8 \n", "67 TSA 31 \n", "68 Albo Inaczej 45 \n", "69 Bartek Wrona 5 \n", "70 Ofelia 36 \n", "71 Jerzy Milian 17 \n", "72 CamaSutra 35 \n", "73 Beata Kozidrak 46 \n", "74 Felicjan Andrzejczak 41 \n", "75 Malibu 26 \n", "76 Tabu 32 \n", "77 Schizma 0 \n", "78 Wojciech Majewski 1 \n", "79 We Call It a Sound 0 \n", "80 Materac 1 \n", "81 Nosowska 49 \n", "82 Leopold Godowsky 29 \n", "83 Lilly Hates Roses 29 \n", "84 Daniel Stetting 0 \n", "85 Beyond the Event Horizon 4 \n", "86 Wudec 1 \n", "87 Power Play 42 \n", "88 JonyPapa 19 \n", "89 Christ Agony 13 \n", "90 Ovvoid 0 \n", "91 Patrycja Markowska 40 \n", "92 Marcin Rozynek 29 \n", "93 esceh 47 \n", "94 Mooslip 0 \n", "95 Damian Malec 0 \n", "96 Nocna Zmiana Bluesa 12 \n", "97 Newest Zealand 0 \n", "98 Megustar 24 \n", "99 Pectus 36 \n", "100 Tulip Trenches 0 \n", "Rows: 1-100 | Columns: 5" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# filter polish artists out of the 'artists' dataset using information in 'genres' column\n", "polish_artists = artists.search(\"genres ilike '%disco polo%' or genres ilike '%polish%'\") \n", "\n", "# save it to the database\n", "polish_artists.to_db('\"spotify\".\"polish_artists\"', relation_type = \"table\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can visualize the top 60 most-followed Polish artists with a bar chart." ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/html": [ "" ], "text/plain": [ "" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# make a highchart of the top 60 most-followed Polish artists\n", "polish_artists.hchart(x = \"name\",\n", " y = \"followers\", \n", " aggregate = False,\n", " kind = \"bar\",\n", " max_cardinality = 60,\n", " height = 900,\n", " width = 1500)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can do the same with the most popular tracks. For example, we can graph Monika Brodka's most popular tracks like so:" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/html": [ "" ], "text/plain": [ "" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# find Monika Brodka's songs\n", "brodka_tracks = tracks.search(\"artists ilike '%brodka%'\")\n", "\n", "# plot Brodka's tracks ordered by popularity\n", "brodka_tracks.hchart(x = \"name\",\n", " y = \"popularity\",\n", " aggregate = False,\n", " kind = \"bar\",\n", " max_cardinality = 25) " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To get an idea of what makes Monika Brodka's songs popular, let's create a boxplot of the numerical feature distribution of her tracks." ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/html": [ "" ], "text/plain": [ "" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "## list of the relevant numerical features\n", "numerical_features = ['danceability', \n", " 'energy', \n", " 'speechiness', \n", " 'acousticness', \n", " 'instrumentalness', \n", " 'valence', \n", " 'liveness'] \n", "\n", "# create a boxplot of the above features\n", "brodka_tracks[numerical_features].hchart(kind = \"boxplot\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Timing is a classic factor for success, so let's look at the popularity of Monika's songs over time with a smooth curve." ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# extract year from the date\n", "brodka_tracks['release_year'] = \"year(release_date::date)\"\n", "\n", "# smooth the popularity using rolling mean\n", "brodka_tracks.rolling(func = 'mean',\n", " columns = 'popularity',\n", " window = (-3, 3),\n", " order_by = 'release_year',\n", " name = 'smoothed_popularity')\n", "\n", "# plot the smoothed curve for popularity of her songs\n", "brodka_tracks.plot(ts = 'release_date', columns=['smoothed_popularity']) " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Numerical-feature Analysis" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Bringing it all together, let's try to get an idea of how these numerical features change and correlate with each other in Monika's most popular songs." ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# extract year from date\n", "tracks['release_year'] = \"year(release_date::date)\"\n", "\n", "# get the average of numerical features during the year\n", "yearly_aggs = tracks.groupby('release_year', ['AVG(danceability) as danceability',\n", " 'AVG(energy) as energy', \n", " 'AVG(speechiness) AS speechiness', \n", " 'AVG(acousticness) AS acousticness', \n", " 'AVG(instrumentalness) AS instrumentalness',\n", " 'AVG(valence) AS valence', \n", " 'AVG(liveness) AS liveness',])\n", "\n", "# plot the cures for numerical features along the different years\n", "yearly_aggs.plot(ts='release_year', \n", " columns=numerical_features)" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
"danceability"
"energy"
"speechiness"
"acousticness"
"instrumentalness"
"valence"
"liveness"
"danceability"1.00.2253784433129020.198422110210451-0.228879028726738-0.2195601446357430.517690962189664-0.107989997860069
"energy"0.2253784433129021.0-0.0588034003217321-0.710939277579459-0.1903196750337830.3601950986493490.12611905796149
"speechiness"0.198422110210451-0.05880340032173211.00.0735189869046661-0.1011507094190630.04396325477456220.208192661333212
"acousticness"-0.228879028726738-0.7109392775794590.07351898690466611.00.199817518163958-0.166786499501141-0.00448565029093398
"instrumentalness"-0.219560144635743-0.190319675033783-0.1011507094190630.1998175181639581.0-0.170613868369725-0.0372257235123641
"valence"0.5176909621896640.3601950986493490.0439632547745622-0.166786499501141-0.1706138683697251.0-0.000143636296234245
"liveness"-0.1079899978600690.126119057961490.208192661333212-0.00448565029093398-0.0372257235123641-0.0001436362962342451.0
Rows: 1-7 | Columns: 8
" ], "text/plain": [ " \"danceability\" \"energy\" \"speechiness\" \\\\\n", "\"danceability\" 1.0 0.225378443312902 0.198422110210451 \\\\\n", "\"energy\" 0.225378443312902 1.0 -0.0588034003217321 \\\\\n", "\"speechiness\" 0.198422110210451 -0.0588034003217321 1.0 \\\\\n", "\"acousticness\" -0.228879028726738 -0.710939277579459 0.0735189869046661 \\\\\n", "\"instrumentalness\" -0.219560144635743 -0.190319675033783 -0.101150709419063 \\\\\n", "\"valence\" 0.517690962189664 0.360195098649349 0.0439632547745622 \\\\\n", "\"liveness\" -0.107989997860069 0.12611905796149 0.208192661333212 \\\\\n", " \"acousticness\" \"instrumentalness\" \"valence\" \\\\\n", "\"danceability\" -0.228879028726738 -0.219560144635743 0.517690962189664 \\\\\n", "\"energy\" -0.710939277579459 -0.190319675033783 0.360195098649349 \\\\\n", "\"speechiness\" 0.0735189869046661 -0.101150709419063 0.0439632547745622 \\\\\n", "\"acousticness\" 1.0 0.199817518163958 -0.166786499501141 \\\\\n", "\"instrumentalness\" 0.199817518163958 1.0 -0.170613868369725 \\\\\n", "\"valence\" -0.166786499501141 -0.170613868369725 1.0 \\\\\n", "\"liveness\" -0.00448565029093398 -0.0372257235123641 -0.000143636296234245 \\\\\n", " \"liveness\" \n", "\"danceability\" -0.107989997860069 \n", "\"energy\" 0.12611905796149 \n", "\"speechiness\" 0.208192661333212 \n", "\"acousticness\" -0.00448565029093398 \n", "\"instrumentalness\" -0.0372257235123641 \n", "\"valence\" -0.000143636296234245 \n", "\"liveness\" 1.0 \n", "Rows: 1-7 | Columns: 8" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# correlation of numerical features\n", "tracks[tracks[numerical_features]].corr()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Feature Engineering" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To expand our analysis, let's take into account some descriptive features. Since our goal is to predict popularity, some useful features might be:\n", "
    \n", "
  • number of followers
    • \n", "
  • popularity for the artist of the track
    • \n", "
  • the number of artists per track
    • \n", "
\n", "\n", "Additionally, we manipulate our data a bit to make things easier later on:\n", "
    \n", "
  • converting the duration unit from 'ms' to 'minute'
    • \n", "
  • extracting the year from the date.
    • \n", "
" ] }, { "cell_type": "code", "execution_count": 66, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CREATE\n", "CREATE\n" ] }, { "data": { "text/html": [ "Execution: 634.41s" ], "text/plain": [ "" ] }, "execution_count": 66, "metadata": {}, "output_type": "execute_result" } ], "source": [ "%%sql\n", "CREATE TABLE spotify.polish_tracks AS\n", "SELECT * FROM spotify.tracks \n", "WHERE id_artists IN (SELECT t.id_artists FROM spotify.tracks t JOIN spotify.polish_artists p\n", " ON t.id_artists LIKE '%' || p.id || '%');\n", "CREATE TABLE spotify.polish_tracks_clean AS\n", "SELECT \n", " x.*, \n", " x.duration_ms / 60000 AS duration_minute,\n", " (CASE \n", " WHEN LENGTH(x.release_date) = 4 THEN (release_date::INT) \n", " ELSE YEAR(x.release_date::date) \n", " END) AS release_year,\n", " y.followers AS artists_followers,\n", " y.popularity AS artist_popularity\n", "FROM spotify.polish_tracks AS x LEFT JOIN spotify.artists AS y\n", "ON x.id_artists LIKE '%' || y.id || '%';" ] }, { "cell_type": "code", "execution_count": 27, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
Abc
id
Varchar(44)
Abc
Varchar(96)
123
popularity
Int
123
duration_ms
Int
123
explicit
Int
Abc
Varchar(100)
Abc
Varchar(156)
Abc
release_date
Varchar(20)
123
danceability
Numeric(6,4)
123
energy
Numeric(8,6)
123
key
Int
123
loudness
Numeric(8,4)
123
mode
Int
123
speechiness
Numeric(7,5)
123
acousticness
Numeric(6,4)
123
instrumentalness
Float
123
liveness
Numeric(7,5)
123
valence
Numeric(7,5)
123
tempo
Numeric(9,4)
123
time_signature
Int
123
duration_minute
Numeric(36,18)
123
release_year
Int
123
artists_followers
Numeric(7,2)
123
artist_popularity
Int
123
nb_singers
Integer
10004Uy71ku11n3LMpuyf593425890702012-01-010.6230.5996-9.25510.02550.1770.001480.07480.381140.05644.315116666666666520125425.0361
2008UO76dicJJrUb5g6WID042216813020010.6770.8859-4.10800.04490.1640.00.08270.741119.98143.61355200147110.0441
300D7fT49Q54HNiaaLY32UA4119623102017-06-070.5410.6721-4.95610.1130.1980.00.1120.146120.06153.2705166666666665201775395.0593
400De7REGurYkmfrKAh6CU13640086701992-10-300.2180.10411-22.80900.0470.510.6920.06880.0329114.59236.681116666666667199211683.0401
500KCwnrvIXX8GRU3ZMOIBW5520782102019-12-060.8250.6926-6.08400.06270.1720.0009960.08610.602123.98543.4636833333333334201923399.0541
600g7zzRDf2DOf4fKYzFTUA4619285702018-08-240.750.7971-6.51610.3320.5670.00.09140.726112.34343.2142833333333334201828135.0431
700i4Q7OfN0mGnUyuyQcAdZ29792401978-01-010.5730.6747-7.53100.09470.6290.00.2170.92898.84241.632066666666666819785.042
800i4Q7OfN0mGnUyuyQcAdZ29792401978-01-010.5730.6747-7.53100.09470.6290.00.2170.92898.84241.632066666666666819785059.0422
900l8ILQ8qgsew789dGn1Gh732624001963-03-250.5680.6012-7.87500.02940.5099.49e-060.1560.78102.42845.4373333333333331963696.091
1000vlVv7WLZjyRS783REKmn24243107019980.8830.5061-8.13710.3720.05190.00.2070.37593.0544.051783333333334199841198.0371
1100wJpDUdKoWQ2ibqTpJh1Y3221165301998-08-300.8020.9236-7.74300.0330.3140.0004180.2250.978130.10343.5275519987987.0271
12010cqDI9IKD8f3Ji8TnT9h1419121301967-04-140.5120.41610-8.30610.03810.7840.00.08360.531135.1543.1868833333333333196713705.0351
130123TtFcZ7pZIss52i7nAK2317416001995-02-270.6340.6270-13.21110.0350.01480.0006430.05190.745126.6342.902666666666666719951132.0281
14015JvDPIBquLQTX6VZPwB2114221101960-09-070.2830.2940-12.07810.03450.6866.71e-060.6260.419112.21432.3701833333333333196012184.0341
1501FN979nyz1gmdsfWZv5OL4518229301995-08-310.5570.6862-6.87410.0260.06215.88e-050.2140.38112.02943.0382166666666666199516698.0381
1601LN8YM6L9V2a135AnhZqf5716833302020-12-050.6180.4597-10.99500.05820.1173.49e-050.1480.268144.04642.8055520208841.0462
1701LN8YM6L9V2a135AnhZqf5716833302020-12-050.6180.4597-10.99500.05820.1173.49e-050.1480.268144.04642.805552020950.0632
1801j7wulLc7rJVk0STUPEKu520016001967-03-060.4120.2444-11.60800.03160.9570.0005060.1580.306132.143.33619671645.0151
1901lYEV7KZT34GOAW2MIgHF3545830701969-06-110.3220.5493-8.30310.05820.5330.002040.2160.209140.60337.63845196987156.0421
2001uK4bh8p175iZj7uSkp5k45204893020000.6120.5332-8.96400.02870.422.5e-060.1080.35996.0743.4148833333333335200077205.0531
21025zlWO2FRZZrFhRw5kqa94019189302013-11-150.6660.9775-3.72300.1450.00123.79e-060.1060.21110.04343.1982166666666667201329602.0421
22028DQ7NS44vnLRaoon0mwg18232640019870.370.9682-3.21710.160.00120.0003270.06970.448119.50443.8773333333333335198723629.0381
2302GvdetV646M4C1Ip8CKg5920950701978-07-220.5340.2375-14.07300.0690.530.0007830.2060.319123.0943.4917833333333332197811879.0241
2402IpFuItRz1yXbYAtHsXJs4021843602000-11-200.5380.6655-6.63110.05360.2262.91e-050.08910.338112.77143.6406200013324.0391
2502JLJi7sryFu44hhNWOv1c3025400012010-09-240.8390.7020-7.40110.40.2220.00.06260.46490.01744.233333333333333201010611.0443
2602RqhFaAYzWScfVzKfTZ7L5320278402020-01-070.6120.711-4.68900.1860.03710.00.03410.749103.81143.3797333333333333202050057.0552
2702hewGMWcG5Vp8nwhcmTA019219267019940.5530.7954-11.38210.09990.00830.00.2080.16893.82443.65445199448108.0421
2802yg6Eksd8zZpYxsT1Lpsp2910421301999-01-010.4990.8197-7.06310.04540.00651.37e-060.05840.915184.25441.7368833333333333199993331.0471
2903UV1fQG0MIm4CPszfttTJ3518383402006-06-260.6610.6534-4.89500.05090.02920.00.08020.505125.99143.0639200655390.0441
3004GlMx0s7MvdMr2MEXX8s83425584002008-04-180.5330.8711-11.23710.03690.00020.160.06090.87155.97544.264200857656.0421
3104PxH7CFGAaAvo6j0zZAOr4222940702014-11-070.7040.771-4.98600.06660.02880.00.2990.534100.03143.82345201415874.0453
3204PxH7CFGAaAvo6j0zZAOr4222940702014-11-070.7040.771-4.98600.06660.02880.00.2990.534100.03143.82345201465568.0503
3304QM4iqGabg7QlphUoWiMB2626740801995-05-080.5920.8691-5.91600.06590.126.89e-050.3150.60791.5744.4568199552393.0471
3404izaHyfYxsE3AQ68kgB4I2414582702000-04-200.7210.7699-5.93300.1750.1780.00.08640.625131.90942.430452000810.0241
3504kSSveBKXiNeRaOXu2iog4322993301999-06-050.6720.4370-10.31700.03630.2980.00.180.22105.42143.8322166666666666199950057.0552
3604wTGEh2gJTG72yUoizwFV10205693019800.4750.85210-6.64610.05490.00010.003240.3120.503112.03743.4282166666666667198057656.0421
37053zfKbxSoqRm2RCdJdQMS2820140001997-01-010.420.9572-5.47510.04750.0010.02020.110.596166.19343.3566666666666665199713433.0311
38053zgCcuWJ9x4dJJgaF4VS10509704019820.1840.2010-16.85110.03790.7850.4010.2080.0421135.56848.49506666666666619829218.0291
39054VUAvYt59A1yGSrBAgac2220321301976-02-120.5370.4875-9.37310.05130.730.02710.1240.814147.66843.3868833333333335197638031.0421
4005IAxc7j9T9KcEu0lAgbfB4621601302016-01-030.780.92711-2.83610.09580.1250.00.20.971133.93343.600216666666667201610701.0421
4105JJTD8KdxbZsMnOn6imMv42230853020000.6640.9097-4.19600.1390.07920.0002990.1150.835168.03243.84755200019650.0421
4205RcrI18Qi65dwc3vegSNP4321600002017-10-270.6380.8810-4.94810.1230.08720.00.3060.64279.99443.6201745147.0472
4305hJSmfNiPXSzwSLeG1Rfb3923250702016-10-210.440.4266-6.50200.03390.8220.003990.1140.48799.84243.875116666666666520166179.0361
4405hk8ivnCt0HP3aI1uWJfi4329506702015-03-060.5980.7622-8.38610.03960.5370.00.3240.686106.97244.917783333333333201532447.0401
4505v1D17vjtCNRyalBVGbKU3448116002007-06-100.4320.78411-10.27300.06040.8290.04980.9630.354108.14248.019333333333334200744870.0431
4605yf5sbF36dhwGRfj18sg52722564702007-11-190.9120.697-6.20610.1960.1090.00.2560.7392.97143.7607833333333334200720468.0351
47062pHiX7lpKRDmFvmJor3o38182813020060.5180.9922-4.92610.1040.00121.17e-060.330.412146.55343.046883333333333200642871.0431
48063FiQaY2FuZe3a44rZuSX3722118702012-08-080.7720.7050-5.09310.04420.1941.66e-060.1750.72995.00843.68645201211211.0321
49063ZobFSzYA0O7fmfi4oik4221268902002-03-120.7670.95110-4.3610.04990.1520.00.3610.84499.98643.5448166666666667200251546.0491
5006AIE9kwssJ3cmPbMuHobb3032313302007-05-110.1370.9167-5.25810.05810.00237.75e-050.1260.399166.2145.38555200734390.0401
5106K6svVGbiQILn9BAzZNgo3737412012013-12-130.6140.7620-9.02100.06970.01491.42e-060.1220.352133.99246.23533333333333320133133.0432
5206LDaZRAWOc0fNqkdOQo9S1877853019980.7620.45510-11.07710.03610.30.7960.06960.482147.90141.29755199870621.0461
5306SnvuakcuOcj3odFZpIpJ1813763901969-09-060.6460.542-9.7400.03110.07230.00.1310.80194.85842.293983333333333319697150.0291
5406V1fPvTfXdIBMUItnLmQ71411949301967-10-160.4370.3335-15.82600.0360.7620.0005290.1050.34479.07831.99155196710848.0351
5506kPUkFJv1RfEVjgEF3oRz2325022701997-01-010.7510.7350-10.08710.03540.00880.02190.1020.857129.87944.17045199731913.0471
5607Iyx8PziAv997SrJanQgl11279013019810.3610.1410-20.15700.0320.3548.66e-060.2220.097297.96444.650216666666667198120934.0421
5707QfWWYlJsbXiEbbKSvqcd3432099312010-04-260.5170.95610-5.700.2910.01397.05e-060.3670.66784.01145.3498833333333335201010011.0513
5807QfWWYlJsbXiEbbKSvqcd3432099312010-04-260.5170.95610-5.700.2910.01397.05e-060.3670.66784.01145.349883333333333520107380.0393
5907rj0QlIw4hRcvhIJGY2Lf612317301965-10-120.5540.1890-15.12700.04850.9688.64e-060.1310.30167.15242.052883333333333419653121.0311
600804d5chEAcksTIZ7IVh6O2920000001967-10-160.330.4399-13.42100.04650.8754.92e-050.5080.356101.97543.3333333333333335196710848.0351
6108D5BLpRFI6PT2XYuq7eDg2827326701996-01-010.6960.9395-6.53800.03030.5075.37e-060.2510.974137.92144.55445199612829.0361
6208D6EqghkRLD6iFHKKWJ4Y5521312012020-01-270.7580.6870-8.81300.05690.30.02630.120.475125.01843.552202040274.0622
6308ER472xnuMlbtkKSh3PB41116686701975-09-070.3370.2910-14.60710.08870.930.00.1090.416178.15942.7811166666666667197512184.0341
6408ULDx4KeBpXe7OHEWjgVP4527729302014-04-160.6870.933-4.41810.03930.01470.001160.330.96153.06844.6215520143064.0371
6508uPk6Ge77W31WGGYNEPHA215636901978-01-010.4690.5475-8.84210.3150.7811.28e-060.1030.73692.54442.6061519785059.0422
6608uPk6Ge77W31WGGYNEPHA215636901978-01-010.4690.5475-8.84210.3150.7811.28e-060.1030.73692.54442.6061519781.012
6708xY8SSfwHc7SIXWroGW9j16167360019940.3240.2462-14.30800.03910.6570.00.1070.59124.35442.7893333333333334199436250.0541
68095PNli2gmoYwlvgotxxEs28269067019950.5760.6167-5.14400.0280.05496.02e-060.0960.146119.80444.48445199577205.0531
6909FEC2H0Ls5bXMSFj2bLzL5019846002018-10-240.7080.8070-8.00310.2190.2980.0001250.1160.917169.84843.3076666666666665201874908.0653
7009GKW7x0iMuxzzM7IeQ01g715352101964-02-210.5210.2090-12.89110.03390.7360.00.1870.54882.01842.55868333333333319643058.0311
7109PwmLzRfWj5hkmIiw1a9X2125131601969-09-070.3230.3850-9.22810.03130.7147.9e-060.3780.379119.00244.1886196912184.0341
7209d4etyrEWf5BguIIUfRW91221252301974-08-160.3080.4299-8.70300.0320.4340.00.1380.31483.69543.54205197412962.0361
730ADOK8ffxUlSDu51nIu5KU23274533019990.6620.2991-11.21400.02750.410.00.3630.553103.03744.57555199961203.0451
740AGuYcLlnbR7AOQSbTGzIz2923296002000-12-310.4470.5732-8.93700.03030.07990.0001110.2910.562201.07743.8826666666666667200015007.0401
750AHy3nZXS725AAHDC0qjPR2220233601966-09-280.4820.3639-10.88510.03770.8780.00.3080.369117.99943.3722666666666665196615347.0351
760AJJJnR5VwJfeYGvnyG74v719153001967-03-290.6320.3037-14.100.02720.7740.002170.1020.404104.85943.1921666666666666196769339.0461
770ATVUbPlX65HB5H1WbIugt5418135612020-12-040.8910.8997-9.83610.2880.1850.00.07780.888154.91243.0226202027699.0541
780AUeyoLQYwYUDsQRJZKvZd22248907019800.4240.8244-5.89510.04340.00054.31e-050.1330.423195.9944.14845198057656.0421
790AXtdoJaVk6W8pcYstecgw33193227020000.5950.8062-7.01910.04420.1998.02e-050.02040.718120.17243.22045200044870.0431
800AYmWvKRGtgePrpo3NdYXh4821853002019-02-010.6410.3824-11.05510.02990.9360.4370.1070.237112.99643.6421666666666668201990157.0611
810ApseFDjbipbKK0dBD4Viz3526701312005-11-150.8370.6979-5.89900.2940.07760.00.1530.54590.01144.450216666666667200580933.0461
820Aq0weZZ0YzbrNlsA8UV3P2329410701997-01-050.570.5967-8.59110.02710.01570.0003310.1440.211140.84344.9017833333333331997509.0121
830Au3WxSl0fm6IvSZHCShjZ2215718701998-01-010.5040.9234-6.53300.04150.01410.01750.1510.643139.0842.6197833333333334199829108.0401
840AwC0oZxr25SOcThearmN42830038302005-04-290.9270.7057-6.2710.05770.01350.00.07550.74999.02445.006383333333333200520468.0351
850B1uuoyiPSkV2f8cAw473e023077301946-01-010.2670.1936-17.21410.07810.9910.880.190.34679.24413.84621666666666719461805.0295
860B1uuoyiPSkV2f8cAw473e023077301946-01-010.2670.1936-17.21410.07810.9910.880.190.34679.24413.846216666666667194612.085
870B1uuoyiPSkV2f8cAw473e023077301946-01-010.2670.1936-17.21410.07810.9910.880.190.34679.24413.84621666666666719461.055
880B1uuoyiPSkV2f8cAw473e023077301946-01-010.2670.1936-17.21410.07810.9910.880.190.34679.24413.84621666666666719462671.0475
890B1uuoyiPSkV2f8cAw473e023077301946-01-010.2670.1936-17.21410.07810.9910.880.190.34679.24413.846216666666667194644235.0435
900BHIwbxTN0iSClgDaO36Ft3429388202009-02-210.680.8689-2.45400.4130.3480.00.2020.819173.87444.898033333333333200952237.0503
910BHIwbxTN0iSClgDaO36Ft3429388202009-02-210.680.8689-2.45400.4130.3480.00.2020.819173.87444.898033333333333200922905.0373
920BleuvVMt39PmQaukAdEcv37228053020100.4150.5045-8.65810.02920.6221.76e-050.120.383156.07443.800883333333333201038499.0421
930Bn854XtnJv15m9f1ZvWbe4419401302011-05-310.490.886-4.64200.04470.2990.00.0990.619160.01543.23355201136693.0491
940BsQm2iFzKTzAemliJtu8x3920123102016-11-250.560.7914-6.32310.03030.00540.00.08580.605129.99243.35385201636719.0451
950C2VNcmHdRRvQtetkaZVn532311440019900.5990.3951-14.30700.02580.6683.77e-050.1160.353102.0345.190666666666667199077205.0531
960C2XO15BhHDglDB724brOi43316627019980.840.54110-12.03500.210.09511.2e-050.1060.68180.98845.277116666666666199870621.0461
970CAinfqSGq1peA63s4gNam2118793301988-12-310.6330.29810-10.69310.03250.8890.00.08640.591116.33533.132216666666667198829541.0431
980CBj18X3J7MabwDqKeMxuo47239373019990.3840.7680-6.10110.1210.1240.00.06820.74119.97343.98955199935719.0471
990CLO6b6Ohrnmp9fDLvYj3U25162987020030.2750.348-13.43500.03390.9820.00.2210.27291.16542.7164520033095.0392
1000CMxaedU31OgxQvrA1VE1J5422586702019-10-250.8620.6153-5.01900.2280.2390.00.07970.413114.95943.76445201935006.0492
Rows: 1-100 | Columns: 25
" ], "text/plain": [ " id name \\\\\n", "1 0004Uy71ku11n3LMpuyf59 24.11.94 - Wersja Akustyczna \\\\\n", "2 008UO76dicJJrUb5g6WID0 Maj \\\\\n", "3 00D7fT49Q54HNiaaLY32UA Arabska noc \\\\\n", "4 00De7REGurYkmfrKAh6CU1 Dracula- The Beginning \\\\\n", "5 00KCwnrvIXX8GRU3ZMOIBW Désolée (Paris/Paname) \\\\\n", "6 00g7zzRDf2DOf4fKYzFTUA Wiraże \\\\\n", "7 00i4Q7OfN0mGnUyuyQcAdZ Pieseň Roxany a kadetov (Hráči mimo hry) \\\\\n", "8 00i4Q7OfN0mGnUyuyQcAdZ Pieseň Roxany a kadetov (Hráči mimo hry) \\\\\n", "9 00l8ILQ8qgsew789dGn1Gh Nyamaland \\\\\n", "10 00vlVv7WLZjyRS783REKmn Upadek \\\\\n", "11 00wJpDUdKoWQ2ibqTpJh1Y Ze Mną Bądź \\\\\n", "12 010cqDI9IKD8f3Ji8TnT9h Ballada o trzech trubadurach \\\\\n", "13 0123TtFcZ7pZIss52i7nAK Kocie Sprawy \\\\\n", "14 015JvDPIBquLQTX6VZPwB2 Kiedy znów zakwitną białe bzy \\\\\n", "15 01FN979nyz1gmdsfWZv5OL O Sobie Samym \\\\\n", "16 01LN8YM6L9V2a135AnhZqf Światłocienie \\\\\n", "17 01LN8YM6L9V2a135AnhZqf Światłocienie \\\\\n", "18 01j7wulLc7rJVk0STUPEKu Pyzate słoneczniki \\\\\n", "19 01lYEV7KZT34GOAW2MIgHF Jednego serca \\\\\n", "20 01uK4bh8p175iZj7uSkp5k O Tobie \\\\\n", "21 025zlWO2FRZZrFhRw5kqa9 Imperium UBOJU \\\\\n", "22 028DQ7NS44vnLRaoon0mwg Polska złota młodzież \\\\\n", "23 02GvdetV646M4C1Ip8CKg5 Muzyko z tamtej strony dnia \\\\\n", "24 02IpFuItRz1yXbYAtHsXJs Deszcz w Cisnej - 1976 \\\\\n", "25 02JLJi7sryFu44hhNWOv1c Początek końca \\\\\n", "26 02RqhFaAYzWScfVzKfTZ7L Ramię W Ramię \\\\\n", "27 02hewGMWcG5Vp8nwhcmTA0 Spalaj się \\\\\n", "28 02yg6Eksd8zZpYxsT1Lpsp Nie Jestem Soba \\\\\n", "29 03UV1fQG0MIm4CPszfttTJ Puste słowa \\\\\n", "30 04GlMx0s7MvdMr2MEXX8s8 Kochać cię za późno \\\\\n", "31 04PxH7CFGAaAvo6j0zZAOr Brać \\\\\n", "32 04PxH7CFGAaAvo6j0zZAOr Brać \\\\\n", "33 04QM4iqGabg7QlphUoWiMB Dotyk (2020 Remaster) \\\\\n", "34 04izaHyfYxsE3AQ68kgB4I Barbarossa \\\\\n", "35 04kSSveBKXiNeRaOXu2iog Nie Ma Nie Ma Ciebie \\\\\n", "36 04wTGEh2gJTG72yUoizwFV Bez szans \\\\\n", "37 053zfKbxSoqRm2RCdJdQMS Proletariat \\\\\n", "38 053zgCcuWJ9x4dJJgaF4VS Król Świtu \\\\\n", "39 054VUAvYt59A1yGSrBAgac Będzie dość \\\\\n", "40 05IAxc7j9T9KcEu0lAgbfB Lubisz To Lubisz (Radio Edit) \\\\\n", "41 05JJTD8KdxbZsMnOn6imMv Gdzie Ten, Ktory Powie Mi \\\\\n", "42 05RcrI18Qi65dwc3vegSNP Echo - feat. Ewa Farna \\\\\n", "43 05hJSmfNiPXSzwSLeG1Rfb Czarne Serce \\\\\n", "44 05hk8ivnCt0HP3aI1uWJfi Oranżada \\\\\n", "45 05v1D17vjtCNRyalBVGbKU Jeszcze W Zielone Gramy \\\\\n", "46 05yf5sbF36dhwGRfj18sg5 Poland Story \\\\\n", "47 062pHiX7lpKRDmFvmJor3o Spodnie z GS-u (The Butels) \\\\\n", "48 063FiQaY2FuZe3a44rZuSX Jak Dobrze Cię Widzieć \\\\\n", "49 063ZobFSzYA0O7fmfi4oik Pędzą Konie \\\\\n", "50 06AIE9kwssJ3cmPbMuHobb Hipisówka \\\\\n", "51 06K6svVGbiQILn9BAzZNgo Każdy Dzień \\\\\n", "52 06LDaZRAWOc0fNqkdOQo9S Intro Dab \\\\\n", "53 06SnvuakcuOcj3odFZpIpJ Po co ja za tobą biegam \\\\\n", "54 06V1fPvTfXdIBMUItnLmQ7 Nie płacz już \\\\\n", "55 06kPUkFJv1RfEVjgEF3oRz Stary Cygan \\\\\n", "56 07Iyx8PziAv997SrJanQgl Naima \\\\\n", "57 07QfWWYlJsbXiEbbKSvqcd Pieniądze Nie Śmierdzą \\\\\n", "58 07QfWWYlJsbXiEbbKSvqcd Pieniądze Nie Śmierdzą \\\\\n", "59 07rj0QlIw4hRcvhIJGY2Lf Trudno \\\\\n", "60 0804d5chEAcksTIZ7IVh6O Nigdy więcej \\\\\n", "61 08D5BLpRFI6PT2XYuq7eDg Brązowe Oczy \\\\\n", "62 08D6EqghkRLD6iFHKKWJ4Y Vanilla \\\\\n", "63 08ER472xnuMlbtkKSh3PB4 Gwizdze na wszystko \\\\\n", "64 08ULDx4KeBpXe7OHEWjgVP Ale Ale Aleksandra \\\\\n", "65 08uPk6Ge77W31WGGYNEPHA Pieseň o úspechu \\\\\n", "66 08uPk6Ge77W31WGGYNEPHA Pieseň o úspechu \\\\\n", "67 08xY8SSfwHc7SIXWroGW9j ?ycia modele \\\\\n", "68 095PNli2gmoYwlvgotxxEs Dziesięć przykazań \\\\\n", "69 09FEC2H0Ls5bXMSFj2bLzL Gucci Mane \\\\\n", "70 09GKW7x0iMuxzzM7IeQ01g Okularnicy \\\\\n", "71 09PwmLzRfWj5hkmIiw1a9X Jesienne róże \\\\\n", "72 09d4etyrEWf5BguIIUfRW9 Zgubiłam to wszystko \\\\\n", "73 0ADOK8ffxUlSDu51nIu5KU Straciłam Swój Rozsądek \\\\\n", "74 0AGuYcLlnbR7AOQSbTGzIz Bo to jest moja muzyka \\\\\n", "75 0AHy3nZXS725AAHDC0qjPR Serce \\\\\n", "76 0AJJJnR5VwJfeYGvnyG74v Gdy ktoś kogoś pokocha \\\\\n", "77 0ATVUbPlX65HB5H1WbIugt Rakieta \\\\\n", "78 0AUeyoLQYwYUDsQRJZKvZd Nietykalni - skamieniałe zło \\\\\n", "79 0AXtdoJaVk6W8pcYstecgw Czarna Inez \\\\\n", "80 0AYmWvKRGtgePrpo3NdYXh Niemożliwe \\\\\n", "81 0ApseFDjbipbKK0dBD4Viz Zen \\\\\n", "82 0Aq0weZZ0YzbrNlsA8UV3P Autoportret \\\\\n", "83 0Au3WxSl0fm6IvSZHCShjZ Umarłe Drzewa \\\\\n", "84 0AwC0oZxr25SOcThearmN4 Smoking \\\\\n", "85 0B1uuoyiPSkV2f8cAw473e 12 Impressions: No. 12, Viennese (Arr... \\\\\n", "86 0B1uuoyiPSkV2f8cAw473e 12 Impressions: No. 12, Viennese (Arr... \\\\\n", "87 0B1uuoyiPSkV2f8cAw473e 12 Impressions: No. 12, Viennese (Arr... \\\\\n", "88 0B1uuoyiPSkV2f8cAw473e 12 Impressions: No. 12, Viennese (Arr... \\\\\n", "89 0B1uuoyiPSkV2f8cAw473e 12 Impressions: No. 12, Viennese (Arr... \\\\\n", "90 0BHIwbxTN0iSClgDaO36Ft Wojna \\\\\n", "91 0BHIwbxTN0iSClgDaO36Ft Wojna \\\\\n", "92 0BleuvVMt39PmQaukAdEcv Dziś już wiem \\\\\n", "93 0Bn854XtnJv15m9f1ZvWbe Papieros \\\\\n", "94 0BsQm2iFzKTzAemliJtu8x Swoje szczęście znam \\\\\n", "95 0C2VNcmHdRRvQtetkaZVn5 Miłość i ja \\\\\n", "96 0C2XO15BhHDglDB724brOi Film \\\\\n", "97 0CAinfqSGq1peA63s4gNam Witraże \\\\\n", "98 0CBj18X3J7MabwDqKeMxuo A Wszystko To...(Bo Ciebie Kocham) \\\\\n", "99 0CLO6b6Ohrnmp9fDLvYj3U Sławcie usta \\\\\n", "100 0CMxaedU31OgxQvrA1VE1J THC \\\\\n", " popularity duration_ms explicit artists \\\\\n", "1 34 258907 0 ['Golden Life'] \\\\\n", "2 42 216813 0 ['Varius Manx'] \\\\\n", "3 41 196231 0 ['Quebonafide', 'Solar', 'Wac Toja'] \\\\\n", "4 36 400867 0 ['Wojciech Kilar'] \\\\\n", "5 55 207821 0 ['SHANGUY'] \\\\\n", "6 46 192857 0 ['Szopeen'] \\\\\n", "7 2 97924 0 ['Kamila Magálová', 'Vivat'] \\\\\n", "8 2 97924 0 ['Kamila Magálová', 'Vivat'] \\\\\n", "9 7 326240 0 ['Andrzej Kurylewicz Quintet'] \\\\\n", "10 24 243107 0 ['Molesta'] \\\\\n", "11 32 211653 0 ['Toledo'] \\\\\n", "12 14 191213 0 ['Wojciech Młynarski'] \\\\\n", "13 23 174160 0 ['Buzu Squat'] \\\\\n", "14 1 142211 0 ['Mieczyslaw Fogg'] \\\\\n", "15 45 182293 0 ['Robert Gawlinski'] \\\\\n", "16 57 168333 0 ['Ochman', '@atutowy'] \\\\\n", "17 57 168333 0 ['Ochman', '@atutowy'] \\\\\n", "18 5 200160 0 ['Novi Singers'] \\\\\n", "19 35 458307 0 ['Czesław Niemen'] \\\\\n", "20 45 204893 0 ['Bajm'] \\\\\n", "21 40 191893 0 ['Hunter'] \\\\\n", "22 18 232640 0 ['Dezerter'] \\\\\n", "23 9 209507 0 ['Krzysztof Klenczon'] \\\\\n", "24 40 218436 0 ['Krystyna Prońko'] \\\\\n", "25 30 254000 1 ['Słoń', 'Mikser', 'Tomasz Struszczyk'] \\\\\n", "26 53 202784 0 ['Viki Gabor', 'Kayah'] \\\\\n", "27 19 219267 0 ['Kazik Na Żywo'] \\\\\n", "28 29 104213 0 ['Elektryczne Gitary'] \\\\\n", "29 35 183834 0 ['Łzy'] \\\\\n", "30 34 255840 0 ['Kombi'] \\\\\n", "31 42 229407 0 ['Donatan', 'Cleo', 'Enej'] \\\\\n", "32 42 229407 0 ['Donatan', 'Cleo', 'Enej'] \\\\\n", "33 26 267408 0 ['Edyta Gorniak'] \\\\\n", "34 24 145827 0 ['Orkiestra Dni Naszych'] \\\\\n", "35 43 229933 0 ['Kayah', 'Goran Bregović'] \\\\\n", "36 10 205693 0 ['Kombi'] \\\\\n", "37 28 201400 0 ['Proletaryat'] \\\\\n", "38 10 509704 0 ['Marek Bilinski'] \\\\\n", "39 22 203213 0 ['Anna Jantar'] \\\\\n", "40 46 216013 0 ['Power Play'] \\\\\n", "41 42 230853 0 ['Brathanki'] \\\\\n", "42 43 216000 0 ['Kaen', 'Ewa Farna'] \\\\\n", "43 39 232507 0 ['Limboski'] \\\\\n", "44 43 295067 0 ['KONIEC ŚWIATA'] \\\\\n", "45 34 481160 0 ['Raz Dwa Trzy'] \\\\\n", "46 27 225647 0 ['Vavamuffin'] \\\\\n", "47 38 182813 0 ['Farben Lehre'] \\\\\n", "48 37 221187 0 ['Tabu'] \\\\\n", "49 42 212689 0 ['GOLEC UORKIESTRA'] \\\\\n", "50 30 323133 0 ['Kobranocka'] \\\\\n", "51 37 374120 1 ['Sokół', 'Marysia Starosta'] \\\\\n", "52 18 77853 0 ['Kaliber 44'] \\\\\n", "53 18 137639 0 ['Trubadurzy'] \\\\\n", "54 14 119493 0 ['Piotr Szczepanik'] \\\\\n", "55 23 250227 0 ['Akcent'] \\\\\n", "56 11 279013 0 ['Stanisław Soyka'] \\\\\n", "57 34 320993 1 ['Siwers', 'Ero', 'Sokół'] \\\\\n", "58 34 320993 1 ['Siwers', 'Ero', 'Sokół'] \\\\\n", "59 6 123173 0 ['Mazowsze'] \\\\\n", "60 29 200000 0 ['Piotr Szczepanik'] \\\\\n", "61 28 273267 0 ['Milano'] \\\\\n", "62 55 213120 1 ['Trill Pem', 'Yann'] \\\\\n", "63 11 166867 0 ['Mieczyslaw Fogg'] \\\\\n", "64 45 277293 0 ['Andre'] \\\\\n", "65 2 156369 0 ['Jana Jakubcová', 'Vivat'] \\\\\n", "66 2 156369 0 ['Jana Jakubcová', 'Vivat'] \\\\\n", "67 16 167360 0 ['Grzegorz Turnau'] \\\\\n", "68 28 269067 0 ['Bajm'] \\\\\n", "69 50 198460 0 ['Deemz', 'Bedoes', 'Young Multi'] \\\\\n", "70 7 153521 0 ['Sława Przybylska'] \\\\\n", "71 21 251316 0 ['Mieczyslaw Fogg'] \\\\\n", "72 12 212523 0 ['Irena Jarocka'] \\\\\n", "73 23 274533 0 ['Kasia Kowalska'] \\\\\n", "74 29 232960 0 ['Bayer Full'] \\\\\n", "75 22 202336 0 ['Irena Santor'] \\\\\n", "76 7 191530 0 ['Czerwone Gitary'] \\\\\n", "77 54 181356 1 ['Jacuś'] \\\\\n", "78 22 248907 0 ['Kombi'] \\\\\n", "79 33 193227 0 ['Raz Dwa Trzy'] \\\\\n", "80 48 218530 0 ['Kwiat Jabłoni'] \\\\\n", "81 35 267013 1 ['WWO'] \\\\\n", "82 23 294107 0 ['Lizard'] \\\\\n", "83 22 157187 0 ['KSU'] \\\\\n", "84 28 300383 0 ['Vavamuffin'] \\\\\n", "85 0 230773 0 ['Jascha Heifetz', 'Leopold Godowsky'... \\\\\n", "86 0 230773 0 ['Jascha Heifetz', 'Leopold Godowsky'... \\\\\n", "87 0 230773 0 ['Jascha Heifetz', 'Leopold Godowsky'... \\\\\n", "88 0 230773 0 ['Jascha Heifetz', 'Leopold Godowsky'... \\\\\n", "89 0 230773 0 ['Jascha Heifetz', 'Leopold Godowsky'... \\\\\n", "90 34 293882 0 ['Miuosh', 'Bas Tajpan', 'Hemp Gru'] \\\\\n", "91 34 293882 0 ['Miuosh', 'Bas Tajpan', 'Hemp Gru'] \\\\\n", "92 37 228053 0 ['Urszula'] \\\\\n", "93 44 194013 0 ['Video'] \\\\\n", "94 39 201231 0 ['Feel'] \\\\\n", "95 32 311440 0 ['Bajm'] \\\\\n", "96 43 316627 0 ['Kaliber 44'] \\\\\n", "97 21 187933 0 ['Michał Bajor'] \\\\\n", "98 47 239373 0 ['Ich Troje'] \\\\\n", "99 25 162987 0 ['Irena Pfeiffer', 'Dominikański Ośro... \\\\\n", "100 54 225867 0 ['Young Igi', 'Włodi'] \\\\\n", " id_artists release_date danceability \\\\\n", "1 ['3NyQ2NjqMjDtVSiEkXFW2r'] 2012-01-01 0.623 \\\\\n", "2 ['6XdnqaETDFgrNMaeYmUx55'] 2001 0.677 \\\\\n", "3 ['1fxbULcd6ryMNc1usHoP0R', '1KJvuZHmk... 2017-06-07 0.541 \\\\\n", "4 ['6McH9ZlRL24gW6Bt4fpqad'] 1992-10-30 0.218 \\\\\n", "5 ['3PGTwjhnIwu8lr0cH8KFrs'] 2019-12-06 0.825 \\\\\n", "6 ['5BrkebliJMRAGRPg8NRDGi'] 2018-08-24 0.75 \\\\\n", "7 ['48V2wO7tr6P6Qql1nzILBz', '50GAVxGqL... 1978-01-01 0.573 \\\\\n", "8 ['48V2wO7tr6P6Qql1nzILBz', '50GAVxGqL... 1978-01-01 0.573 \\\\\n", "9 ['5TEGhxUxxjbQScbygeuvDj'] 1963-03-25 0.568 \\\\\n", "10 ['28MEXbuN5228Ig7tTlyEpV'] 1998 0.883 \\\\\n", "11 ['0c7soAA3Nv5aaDBMtCy7v4'] 1998-08-30 0.802 \\\\\n", "12 ['7v2laCPnrOb7G5W4oZj10b'] 1967-04-14 0.512 \\\\\n", "13 ['3PfkQWRO7rxkx0Z9Gs5MmB'] 1995-02-27 0.634 \\\\\n", "14 ['2P14f8iIJW2W9pGvYMcCtq'] 1960-09-07 0.283 \\\\\n", "15 ['32qNyW2sjyjjPDQamC2f9O'] 1995-08-31 0.557 \\\\\n", "16 ['45YERUZVQOedUFX24vFcvc', '53UpeT3ka... 2020-12-05 0.618 \\\\\n", "17 ['45YERUZVQOedUFX24vFcvc', '53UpeT3ka... 2020-12-05 0.618 \\\\\n", "18 ['6MYTh67wB2kwcyewyzhWEn'] 1967-03-06 0.412 \\\\\n", "19 ['6VDUKPL50LjK2upB0R3SXE'] 1969-06-11 0.322 \\\\\n", "20 ['1ckVZCWKKoeh5GhtidoU4D'] 2000 0.612 \\\\\n", "21 ['6okfEEQ3JSQMpjfChbWit2'] 2013-11-15 0.666 \\\\\n", "22 ['4qvXg7WxzF9JImuoRt3yGl'] 1987 0.37 \\\\\n", "23 ['3L6tyZ6cRzyo0VsnwSiOPy'] 1978-07-22 0.534 \\\\\n", "24 ['4SCH2LpYYD5iKpc1xtDJ4Y'] 2000-11-20 0.538 \\\\\n", "25 ['0wm6v5GU6VbR1wtsm0YiTV', '5K5oJ8X8B... 2010-09-24 0.839 \\\\\n", "26 ['3yCRvilOBzRkyxOsOi4tsR', '2v295z585... 2020-01-07 0.612 \\\\\n", "27 ['2uxD55T4gdYlDMGcGtxmMP'] 1994 0.553 \\\\\n", "28 ['3FQiN6DM4NiLN3T0wz8t2Q'] 1999-01-01 0.499 \\\\\n", "29 ['49kDJkXVeVB2KjvJmAwq0f'] 2006-06-26 0.661 \\\\\n", "30 ['5ON4u1xPXV7o5j6Spn0MKF'] 2008-04-18 0.533 \\\\\n", "31 ['1jWDblyJH2DelrPyt87yZV', '0ZXDvZqBz... 2014-11-07 0.704 \\\\\n", "32 ['1jWDblyJH2DelrPyt87yZV', '0ZXDvZqBz... 2014-11-07 0.704 \\\\\n", "33 ['6e14dV47cVGbpJqh1SNyFX'] 1995-05-08 0.592 \\\\\n", "34 ['2VqYqTrvIdzA2RABnDxrkB'] 2000-04-20 0.721 \\\\\n", "35 ['2v295z585SM68pluEKXKSM', '491v9k5NT... 1999-06-05 0.672 \\\\\n", "36 ['5ON4u1xPXV7o5j6Spn0MKF'] 1980 0.475 \\\\\n", "37 ['0krPyzj6zmF8YkpPD1elz3'] 1997-01-01 0.42 \\\\\n", "38 ['2MFdUyGa1eKDvMT6wCOlhT'] 1982 0.184 \\\\\n", "39 ['32ojq4MJxHtYDXaeb1LIzm'] 1976-02-12 0.537 \\\\\n", "40 ['0Hob9LUr2x0SULSZjuf6li'] 2016-01-03 0.78 \\\\\n", "41 ['7aD1kSF3KjJCUXNhqW8O2I'] 2000 0.664 \\\\\n", "42 ['7mlwqVTcj8bEk17NVEXfTK', '6xajh3A5q... 2017-10-27 0.638 \\\\\n", "43 ['4n44SROLP2vIR9HkYvwv8s'] 2016-10-21 0.44 \\\\\n", "44 ['2LKT9YGEiIoMAxtCjAJ6Sn'] 2015-03-06 0.598 \\\\\n", "45 ['1ZqkYyZttThOyOQx22221T'] 2007-06-10 0.432 \\\\\n", "46 ['2Lm3vSenofPiawS8U58tMD'] 2007-11-19 0.912 \\\\\n", "47 ['3O9bFJBTRddC4HOsZixhuw'] 2006 0.518 \\\\\n", "48 ['0GQZc3zcll9HXIVaUA1XzJ'] 2012-08-08 0.772 \\\\\n", "49 ['7sYIwdHZoqVUh6i58SJrmx'] 2002-03-12 0.767 \\\\\n", "50 ['55bqpWJMazkqj8A3iziuuF'] 2007-05-11 0.137 \\\\\n", "51 ['5Kuxl5ZenCl9fYzmtin6ot', '3cUZ9nX6H... 2013-12-13 0.614 \\\\\n", "52 ['2UTeT9IOjc4x9MeQWA0Hrx'] 1998 0.762 \\\\\n", "53 ['3dNEhgwAjiSzy46FCsxT3H'] 1969-09-06 0.646 \\\\\n", "54 ['7h53NTYbN0ZKVQaFDxIkEc'] 1967-10-16 0.437 \\\\\n", "55 ['10wjV72OetIdsUQEcjSnOd'] 1997-01-01 0.751 \\\\\n", "56 ['43CscN9BMaLKwgyP8XlSmW'] 1981 0.361 \\\\\n", "57 ['5qeq8REEH84JmnUZh9U9P3', '54DALKUBH... 2010-04-26 0.517 \\\\\n", "58 ['5qeq8REEH84JmnUZh9U9P3', '54DALKUBH... 2010-04-26 0.517 \\\\\n", "59 ['1e8yvNz0bQq8RdTC2i9Zwk'] 1965-10-12 0.554 \\\\\n", "60 ['7h53NTYbN0ZKVQaFDxIkEc'] 1967-10-16 0.33 \\\\\n", "61 ['2S4iMrlud8RZ6Jck35OR0p'] 1996-01-01 0.696 \\\\\n", "62 ['0x4xJCGDyTlKr47RF2WXzu', '4h753YBaE... 2020-01-27 0.758 \\\\\n", "63 ['2P14f8iIJW2W9pGvYMcCtq'] 1975-09-07 0.337 \\\\\n", "64 ['1BmEPjXHyBgwuCPsQTmChB'] 2014-04-16 0.687 \\\\\n", "65 ['7MpxTazRiVFRsFJQdIJ3Mj', '50GAVxGqL... 1978-01-01 0.469 \\\\\n", "66 ['7MpxTazRiVFRsFJQdIJ3Mj', '50GAVxGqL... 1978-01-01 0.469 \\\\\n", "67 ['5bQZCiENsgmW4SvUOc86qI'] 1994 0.324 \\\\\n", "68 ['1ckVZCWKKoeh5GhtidoU4D'] 1995 0.576 \\\\\n", "69 ['3gm9b6AeMf2eGQTLashkDt', '0LX2VNf5w... 2018-10-24 0.708 \\\\\n", "70 ['0o7p9WUBNSwNwLXOi87H0y'] 1964-02-21 0.521 \\\\\n", "71 ['2P14f8iIJW2W9pGvYMcCtq'] 1969-09-07 0.323 \\\\\n", "72 ['1iPwHZTkXENxvhYejtnr5F'] 1974-08-16 0.308 \\\\\n", "73 ['6VKh8iOViFBI7R8Bb9AilZ'] 1999 0.662 \\\\\n", "74 ['454eECORMCJhObH01Bm1Pv'] 2000-12-31 0.447 \\\\\n", "75 ['0z300uEtGh3BdYBC3vpnPW'] 1966-09-28 0.482 \\\\\n", "76 ['4wck1fvaBpmJNFaeDT1Laa'] 1967-03-29 0.632 \\\\\n", "77 ['1efYxTvCNTpqYqfiEsxawq'] 2020-12-04 0.891 \\\\\n", "78 ['5ON4u1xPXV7o5j6Spn0MKF'] 1980 0.424 \\\\\n", "79 ['1ZqkYyZttThOyOQx22221T'] 2000 0.595 \\\\\n", "80 ['53l3yjX8ITilPIlCRsVKEB'] 2019-02-01 0.641 \\\\\n", "81 ['0MaSZtK5rLCLPbMNdWQIL9'] 2005-11-15 0.837 \\\\\n", "82 ['3eWzSwAoHCTIxba358ZDyj'] 1997-01-05 0.57 \\\\\n", "83 ['0qp4NhoMGGrzCtWu4CkEsE'] 1998-01-01 0.504 \\\\\n", "84 ['2Lm3vSenofPiawS8U58tMD'] 2005-04-29 0.927 \\\\\n", "85 ['7yaBUcdjmqPP2vIv6F5bFD', '0HC5DGqdU... 1946-01-01 0.267 \\\\\n", "86 ['7yaBUcdjmqPP2vIv6F5bFD', '0HC5DGqdU... 1946-01-01 0.267 \\\\\n", "87 ['7yaBUcdjmqPP2vIv6F5bFD', '0HC5DGqdU... 1946-01-01 0.267 \\\\\n", "88 ['7yaBUcdjmqPP2vIv6F5bFD', '0HC5DGqdU... 1946-01-01 0.267 \\\\\n", "89 ['7yaBUcdjmqPP2vIv6F5bFD', '0HC5DGqdU... 1946-01-01 0.267 \\\\\n", "90 ['3BroLrMp9Q01yOnhLn9qxX', '5gRK2Eipe... 2009-02-21 0.68 \\\\\n", "91 ['3BroLrMp9Q01yOnhLn9qxX', '5gRK2Eipe... 2009-02-21 0.68 \\\\\n", "92 ['6vIPbNGbwdrg7LSpz4V2QX'] 2010 0.415 \\\\\n", "93 ['3G54kKR2IdE4t5TXrs2Y8K'] 2011-05-31 0.49 \\\\\n", "94 ['4QgvuQGl8OtPaUpg492Jyz'] 2016-11-25 0.56 \\\\\n", "95 ['1ckVZCWKKoeh5GhtidoU4D'] 1990 0.599 \\\\\n", "96 ['2UTeT9IOjc4x9MeQWA0Hrx'] 1998 0.84 \\\\\n", "97 ['4wiuQi8pMd9fwJxreqT5H1'] 1988-12-31 0.633 \\\\\n", "98 ['0bRV6QPqD18yNy76IeBr10'] 1999 0.384 \\\\\n", "99 ['0ALBMwCtnRjOADA2ZV2g7s', '75LR4EwgI... 2003 0.275 \\\\\n", "100 ['1yq2JzsqbzFbJ1B7wGOXLc', '2FBmYj55z... 2019-10-25 0.862 \\\\\n", " energy key loudness mode speechiness \\\\\n", "1 0.599 6 -9.255 1 0.0255 \\\\\n", "2 0.885 9 -4.108 0 0.0449 \\\\\n", "3 0.672 1 -4.956 1 0.113 \\\\\n", "4 0.104 11 -22.809 0 0.047 \\\\\n", "5 0.692 6 -6.084 0 0.0627 \\\\\n", "6 0.797 1 -6.516 1 0.332 \\\\\n", "7 0.674 7 -7.531 0 0.0947 \\\\\n", "8 0.674 7 -7.531 0 0.0947 \\\\\n", "9 0.601 2 -7.875 0 0.0294 \\\\\n", "10 0.506 1 -8.137 1 0.372 \\\\\n", "11 0.923 6 -7.743 0 0.033 \\\\\n", "12 0.416 10 -8.306 1 0.0381 \\\\\n", "13 0.627 0 -13.211 1 0.035 \\\\\n", "14 0.294 0 -12.078 1 0.0345 \\\\\n", "15 0.686 2 -6.874 1 0.026 \\\\\n", "16 0.459 7 -10.995 0 0.0582 \\\\\n", "17 0.459 7 -10.995 0 0.0582 \\\\\n", "18 0.244 4 -11.608 0 0.0316 \\\\\n", "19 0.549 3 -8.303 1 0.0582 \\\\\n", "20 0.533 2 -8.964 0 0.0287 \\\\\n", "21 0.977 5 -3.723 0 0.145 \\\\\n", "22 0.968 2 -3.217 1 0.16 \\\\\n", "23 0.237 5 -14.073 0 0.069 \\\\\n", "24 0.665 5 -6.631 1 0.0536 \\\\\n", "25 0.702 0 -7.401 1 0.4 \\\\\n", "26 0.71 1 -4.689 0 0.186 \\\\\n", "27 0.795 4 -11.382 1 0.0999 \\\\\n", "28 0.819 7 -7.063 1 0.0454 \\\\\n", "29 0.653 4 -4.895 0 0.0509 \\\\\n", "30 0.871 1 -11.237 1 0.0369 \\\\\n", "31 0.77 1 -4.986 0 0.0666 \\\\\n", "32 0.77 1 -4.986 0 0.0666 \\\\\n", "33 0.869 1 -5.916 0 0.0659 \\\\\n", "34 0.769 9 -5.933 0 0.175 \\\\\n", "35 0.437 0 -10.317 0 0.0363 \\\\\n", "36 0.852 10 -6.646 1 0.0549 \\\\\n", "37 0.957 2 -5.475 1 0.0475 \\\\\n", "38 0.201 0 -16.851 1 0.0379 \\\\\n", "39 0.487 5 -9.373 1 0.0513 \\\\\n", "40 0.927 11 -2.836 1 0.0958 \\\\\n", "41 0.909 7 -4.196 0 0.139 \\\\\n", "42 0.881 0 -4.948 1 0.123 \\\\\n", "43 0.426 6 -6.502 0 0.0339 \\\\\n", "44 0.762 2 -8.386 1 0.0396 \\\\\n", "45 0.784 11 -10.273 0 0.0604 \\\\\n", "46 0.69 7 -6.206 1 0.196 \\\\\n", "47 0.992 2 -4.926 1 0.104 \\\\\n", "48 0.705 0 -5.093 1 0.0442 \\\\\n", "49 0.951 10 -4.36 1 0.0499 \\\\\n", "50 0.916 7 -5.258 1 0.0581 \\\\\n", "51 0.762 0 -9.021 0 0.0697 \\\\\n", "52 0.455 10 -11.077 1 0.0361 \\\\\n", "53 0.54 2 -9.74 0 0.0311 \\\\\n", "54 0.333 5 -15.826 0 0.036 \\\\\n", "55 0.735 0 -10.087 1 0.0354 \\\\\n", "56 0.14 10 -20.157 0 0.032 \\\\\n", "57 0.956 10 -5.7 0 0.291 \\\\\n", "58 0.956 10 -5.7 0 0.291 \\\\\n", "59 0.189 0 -15.127 0 0.0485 \\\\\n", "60 0.439 9 -13.421 0 0.0465 \\\\\n", "61 0.939 5 -6.538 0 0.0303 \\\\\n", "62 0.687 0 -8.813 0 0.0569 \\\\\n", "63 0.29 10 -14.607 1 0.0887 \\\\\n", "64 0.93 3 -4.418 1 0.0393 \\\\\n", "65 0.547 5 -8.842 1 0.315 \\\\\n", "66 0.547 5 -8.842 1 0.315 \\\\\n", "67 0.246 2 -14.308 0 0.0391 \\\\\n", "68 0.616 7 -5.144 0 0.028 \\\\\n", "69 0.807 0 -8.003 1 0.219 \\\\\n", "70 0.209 0 -12.891 1 0.0339 \\\\\n", "71 0.385 0 -9.228 1 0.0313 \\\\\n", "72 0.429 9 -8.703 0 0.032 \\\\\n", "73 0.299 1 -11.214 0 0.0275 \\\\\n", "74 0.573 2 -8.937 0 0.0303 \\\\\n", "75 0.363 9 -10.885 1 0.0377 \\\\\n", "76 0.303 7 -14.1 0 0.0272 \\\\\n", "77 0.899 7 -9.836 1 0.288 \\\\\n", "78 0.824 4 -5.895 1 0.0434 \\\\\n", "79 0.806 2 -7.019 1 0.0442 \\\\\n", "80 0.382 4 -11.055 1 0.0299 \\\\\n", "81 0.697 9 -5.899 0 0.294 \\\\\n", "82 0.596 7 -8.591 1 0.0271 \\\\\n", "83 0.923 4 -6.533 0 0.0415 \\\\\n", "84 0.705 7 -6.27 1 0.0577 \\\\\n", "85 0.193 6 -17.214 1 0.0781 \\\\\n", "86 0.193 6 -17.214 1 0.0781 \\\\\n", "87 0.193 6 -17.214 1 0.0781 \\\\\n", "88 0.193 6 -17.214 1 0.0781 \\\\\n", "89 0.193 6 -17.214 1 0.0781 \\\\\n", "90 0.868 9 -2.454 0 0.413 \\\\\n", "91 0.868 9 -2.454 0 0.413 \\\\\n", "92 0.504 5 -8.658 1 0.0292 \\\\\n", "93 0.88 6 -4.642 0 0.0447 \\\\\n", "94 0.791 4 -6.323 1 0.0303 \\\\\n", "95 0.395 1 -14.307 0 0.0258 \\\\\n", "96 0.541 10 -12.035 0 0.21 \\\\\n", "97 0.298 10 -10.693 1 0.0325 \\\\\n", "98 0.768 0 -6.101 1 0.121 \\\\\n", "99 0.34 8 -13.435 0 0.0339 \\\\\n", "100 0.615 3 -5.019 0 0.228 \\\\\n", " acousticness instrumentalness liveness valence \\\\\n", "1 0.177 0.00148 0.0748 0.381 \\\\\n", "2 0.164 0.0 0.0827 0.741 \\\\\n", "3 0.198 0.0 0.112 0.146 \\\\\n", "4 0.51 0.692 0.0688 0.0329 \\\\\n", "5 0.172 0.000996 0.0861 0.602 \\\\\n", "6 0.567 0.0 0.0914 0.726 \\\\\n", "7 0.629 0.0 0.217 0.928 \\\\\n", "8 0.629 0.0 0.217 0.928 \\\\\n", "9 0.509 9.49e-06 0.156 0.78 \\\\\n", "10 0.0519 0.0 0.207 0.375 \\\\\n", "11 0.314 0.000418 0.225 0.978 \\\\\n", "12 0.784 0.0 0.0836 0.531 \\\\\n", "13 0.0148 0.000643 0.0519 0.745 \\\\\n", "14 0.686 6.71e-06 0.626 0.419 \\\\\n", "15 0.0621 5.88e-05 0.214 0.38 \\\\\n", "16 0.117 3.49e-05 0.148 0.268 \\\\\n", "17 0.117 3.49e-05 0.148 0.268 \\\\\n", "18 0.957 0.000506 0.158 0.306 \\\\\n", "19 0.533 0.00204 0.216 0.209 \\\\\n", "20 0.42 2.5e-06 0.108 0.359 \\\\\n", "21 0.0012 3.79e-06 0.106 0.21 \\\\\n", "22 0.0012 0.000327 0.0697 0.448 \\\\\n", "23 0.53 0.000783 0.206 0.319 \\\\\n", "24 0.226 2.91e-05 0.0891 0.338 \\\\\n", "25 0.222 0.0 0.0626 0.464 \\\\\n", "26 0.0371 0.0 0.0341 0.749 \\\\\n", "27 0.0083 0.0 0.208 0.168 \\\\\n", "28 0.0065 1.37e-06 0.0584 0.915 \\\\\n", "29 0.0292 0.0 0.0802 0.505 \\\\\n", "30 0.0002 0.16 0.0609 0.87 \\\\\n", "31 0.0288 0.0 0.299 0.534 \\\\\n", "32 0.0288 0.0 0.299 0.534 \\\\\n", "33 0.12 6.89e-05 0.315 0.607 \\\\\n", "34 0.178 0.0 0.0864 0.625 \\\\\n", "35 0.298 0.0 0.18 0.22 \\\\\n", "36 0.0001 0.00324 0.312 0.503 \\\\\n", "37 0.001 0.0202 0.11 0.596 \\\\\n", "38 0.785 0.401 0.208 0.0421 \\\\\n", "39 0.73 0.0271 0.124 0.814 \\\\\n", "40 0.125 0.0 0.2 0.971 \\\\\n", "41 0.0792 0.000299 0.115 0.835 \\\\\n", "42 0.0872 0.0 0.306 0.642 \\\\\n", "43 0.822 0.00399 0.114 0.487 \\\\\n", "44 0.537 0.0 0.324 0.686 \\\\\n", "45 0.829 0.0498 0.963 0.354 \\\\\n", "46 0.109 0.0 0.256 0.73 \\\\\n", "47 0.0012 1.17e-06 0.33 0.412 \\\\\n", "48 0.194 1.66e-06 0.175 0.729 \\\\\n", "49 0.152 0.0 0.361 0.844 \\\\\n", "50 0.0023 7.75e-05 0.126 0.399 \\\\\n", "51 0.0149 1.42e-06 0.122 0.352 \\\\\n", "52 0.3 0.796 0.0696 0.482 \\\\\n", "53 0.0723 0.0 0.131 0.801 \\\\\n", "54 0.762 0.000529 0.105 0.344 \\\\\n", "55 0.0088 0.0219 0.102 0.857 \\\\\n", "56 0.354 8.66e-06 0.222 0.0972 \\\\\n", "57 0.0139 7.05e-06 0.367 0.667 \\\\\n", "58 0.0139 7.05e-06 0.367 0.667 \\\\\n", "59 0.968 8.64e-06 0.131 0.301 \\\\\n", "60 0.875 4.92e-05 0.508 0.356 \\\\\n", "61 0.507 5.37e-06 0.251 0.974 \\\\\n", "62 0.3 0.0263 0.12 0.475 \\\\\n", "63 0.93 0.0 0.109 0.416 \\\\\n", "64 0.0147 0.00116 0.33 0.96 \\\\\n", "65 0.781 1.28e-06 0.103 0.736 \\\\\n", "66 0.781 1.28e-06 0.103 0.736 \\\\\n", "67 0.657 0.0 0.107 0.59 \\\\\n", "68 0.0549 6.02e-06 0.096 0.146 \\\\\n", "69 0.298 0.000125 0.116 0.917 \\\\\n", "70 0.736 0.0 0.187 0.548 \\\\\n", "71 0.714 7.9e-06 0.378 0.379 \\\\\n", "72 0.434 0.0 0.138 0.314 \\\\\n", "73 0.41 0.0 0.363 0.553 \\\\\n", "74 0.0799 0.000111 0.291 0.562 \\\\\n", "75 0.878 0.0 0.308 0.369 \\\\\n", "76 0.774 0.00217 0.102 0.404 \\\\\n", "77 0.185 0.0 0.0778 0.888 \\\\\n", "78 0.0005 4.31e-05 0.133 0.423 \\\\\n", "79 0.199 8.02e-05 0.0204 0.718 \\\\\n", "80 0.936 0.437 0.107 0.237 \\\\\n", "81 0.0776 0.0 0.153 0.545 \\\\\n", "82 0.0157 0.000331 0.144 0.211 \\\\\n", "83 0.0141 0.0175 0.151 0.643 \\\\\n", "84 0.0135 0.0 0.0755 0.749 \\\\\n", "85 0.991 0.88 0.19 0.346 \\\\\n", "86 0.991 0.88 0.19 0.346 \\\\\n", "87 0.991 0.88 0.19 0.346 \\\\\n", "88 0.991 0.88 0.19 0.346 \\\\\n", "89 0.991 0.88 0.19 0.346 \\\\\n", "90 0.348 0.0 0.202 0.819 \\\\\n", "91 0.348 0.0 0.202 0.819 \\\\\n", "92 0.622 1.76e-05 0.12 0.383 \\\\\n", "93 0.299 0.0 0.099 0.619 \\\\\n", "94 0.0054 0.0 0.0858 0.605 \\\\\n", "95 0.668 3.77e-05 0.116 0.353 \\\\\n", "96 0.0951 1.2e-05 0.106 0.681 \\\\\n", "97 0.889 0.0 0.0864 0.591 \\\\\n", "98 0.124 0.0 0.0682 0.74 \\\\\n", "99 0.982 0.0 0.221 0.272 \\\\\n", "100 0.239 0.0 0.0797 0.413 \\\\\n", " tempo time_signature duration_minute release_year \\\\\n", "1 140.056 4 4.3151166666666665 2012 \\\\\n", "2 119.981 4 3.61355 2001 \\\\\n", "3 120.061 5 3.2705166666666665 2017 \\\\\n", "4 114.592 3 6.681116666666667 1992 \\\\\n", "5 123.985 4 3.4636833333333334 2019 \\\\\n", "6 112.343 4 3.2142833333333334 2018 \\\\\n", "7 98.842 4 1.6320666666666668 1978 \\\\\n", "8 98.842 4 1.6320666666666668 1978 \\\\\n", "9 102.428 4 5.437333333333333 1963 \\\\\n", "10 93.05 4 4.051783333333334 1998 \\\\\n", "11 130.103 4 3.52755 1998 \\\\\n", "12 135.15 4 3.1868833333333333 1967 \\\\\n", "13 126.63 4 2.9026666666666667 1995 \\\\\n", "14 112.214 3 2.3701833333333333 1960 \\\\\n", "15 112.029 4 3.0382166666666666 1995 \\\\\n", "16 144.046 4 2.80555 2020 \\\\\n", "17 144.046 4 2.80555 2020 \\\\\n", "18 132.1 4 3.336 1967 \\\\\n", "19 140.603 3 7.63845 1969 \\\\\n", "20 96.07 4 3.4148833333333335 2000 \\\\\n", "21 110.043 4 3.1982166666666667 2013 \\\\\n", "22 119.504 4 3.8773333333333335 1987 \\\\\n", "23 123.09 4 3.4917833333333332 1978 \\\\\n", "24 112.771 4 3.6406 2000 \\\\\n", "25 90.017 4 4.233333333333333 2010 \\\\\n", "26 103.811 4 3.3797333333333333 2020 \\\\\n", "27 93.824 4 3.65445 1994 \\\\\n", "28 184.254 4 1.7368833333333333 1999 \\\\\n", "29 125.991 4 3.0639 2006 \\\\\n", "30 155.975 4 4.264 2008 \\\\\n", "31 100.031 4 3.82345 2014 \\\\\n", "32 100.031 4 3.82345 2014 \\\\\n", "33 91.57 4 4.4568 1995 \\\\\n", "34 131.909 4 2.43045 2000 \\\\\n", "35 105.421 4 3.8322166666666666 1999 \\\\\n", "36 112.037 4 3.4282166666666667 1980 \\\\\n", "37 166.193 4 3.3566666666666665 1997 \\\\\n", "38 135.568 4 8.495066666666666 1982 \\\\\n", "39 147.668 4 3.3868833333333335 1976 \\\\\n", "40 133.933 4 3.600216666666667 2016 \\\\\n", "41 168.032 4 3.84755 2000 \\\\\n", "42 79.994 4 3.6 2017 \\\\\n", "43 99.842 4 3.8751166666666665 2016 \\\\\n", "44 106.972 4 4.917783333333333 2015 \\\\\n", "45 108.142 4 8.019333333333334 2007 \\\\\n", "46 92.971 4 3.7607833333333334 2007 \\\\\n", "47 146.553 4 3.046883333333333 2006 \\\\\n", "48 95.008 4 3.68645 2012 \\\\\n", "49 99.986 4 3.5448166666666667 2002 \\\\\n", "50 166.21 4 5.38555 2007 \\\\\n", "51 133.992 4 6.235333333333333 2013 \\\\\n", "52 147.901 4 1.29755 1998 \\\\\n", "53 94.858 4 2.2939833333333333 1969 \\\\\n", "54 79.078 3 1.99155 1967 \\\\\n", "55 129.879 4 4.17045 1997 \\\\\n", "56 97.964 4 4.650216666666667 1981 \\\\\n", "57 84.011 4 5.3498833333333335 2010 \\\\\n", "58 84.011 4 5.3498833333333335 2010 \\\\\n", "59 67.152 4 2.0528833333333334 1965 \\\\\n", "60 101.975 4 3.3333333333333335 1967 \\\\\n", "61 137.921 4 4.55445 1996 \\\\\n", "62 125.018 4 3.552 2020 \\\\\n", "63 178.159 4 2.7811166666666667 1975 \\\\\n", "64 153.068 4 4.62155 2014 \\\\\n", "65 92.544 4 2.60615 1978 \\\\\n", "66 92.544 4 2.60615 1978 \\\\\n", "67 124.354 4 2.7893333333333334 1994 \\\\\n", "68 119.804 4 4.48445 1995 \\\\\n", "69 169.848 4 3.3076666666666665 2018 \\\\\n", "70 82.018 4 2.558683333333333 1964 \\\\\n", "71 119.002 4 4.1886 1969 \\\\\n", "72 83.695 4 3.54205 1974 \\\\\n", "73 103.037 4 4.57555 1999 \\\\\n", "74 201.077 4 3.8826666666666667 2000 \\\\\n", "75 117.999 4 3.3722666666666665 1966 \\\\\n", "76 104.859 4 3.1921666666666666 1967 \\\\\n", "77 154.912 4 3.0226 2020 \\\\\n", "78 195.99 4 4.14845 1980 \\\\\n", "79 120.172 4 3.22045 2000 \\\\\n", "80 112.996 4 3.6421666666666668 2019 \\\\\n", "81 90.011 4 4.450216666666667 2005 \\\\\n", "82 140.843 4 4.901783333333333 1997 \\\\\n", "83 139.08 4 2.6197833333333334 1998 \\\\\n", "84 99.024 4 5.006383333333333 2005 \\\\\n", "85 79.244 1 3.846216666666667 1946 \\\\\n", "86 79.244 1 3.846216666666667 1946 \\\\\n", "87 79.244 1 3.846216666666667 1946 \\\\\n", "88 79.244 1 3.846216666666667 1946 \\\\\n", "89 79.244 1 3.846216666666667 1946 \\\\\n", "90 173.874 4 4.898033333333333 2009 \\\\\n", "91 173.874 4 4.898033333333333 2009 \\\\\n", "92 156.074 4 3.800883333333333 2010 \\\\\n", "93 160.015 4 3.23355 2011 \\\\\n", "94 129.992 4 3.35385 2016 \\\\\n", "95 102.03 4 5.190666666666667 1990 \\\\\n", "96 80.988 4 5.277116666666666 1998 \\\\\n", "97 116.335 3 3.132216666666667 1988 \\\\\n", "98 119.973 4 3.98955 1999 \\\\\n", "99 91.165 4 2.71645 2003 \\\\\n", "100 114.959 4 3.76445 2019 \\\\\n", " artists_followers artist_popularity nb_singers \n", "1 5425.0 36 1 \n", "2 47110.0 44 1 \n", "3 75395.0 59 3 \n", "4 11683.0 40 1 \n", "5 23399.0 54 1 \n", "6 28135.0 43 1 \n", "7 5.0 4 2 \n", "8 5059.0 42 2 \n", "9 696.0 9 1 \n", "10 41198.0 37 1 \n", "11 7987.0 27 1 \n", "12 13705.0 35 1 \n", "13 1132.0 28 1 \n", "14 12184.0 34 1 \n", "15 16698.0 38 1 \n", "16 8841.0 46 2 \n", "17 950.0 63 2 \n", "18 1645.0 15 1 \n", "19 87156.0 42 1 \n", "20 77205.0 53 1 \n", "21 29602.0 42 1 \n", "22 23629.0 38 1 \n", "23 11879.0 24 1 \n", "24 13324.0 39 1 \n", "25 10611.0 44 3 \n", "26 50057.0 55 2 \n", "27 48108.0 42 1 \n", "28 93331.0 47 1 \n", "29 55390.0 44 1 \n", "30 57656.0 42 1 \n", "31 15874.0 45 3 \n", "32 65568.0 50 3 \n", "33 52393.0 47 1 \n", "34 810.0 24 1 \n", "35 50057.0 55 2 \n", "36 57656.0 42 1 \n", "37 13433.0 31 1 \n", "38 9218.0 29 1 \n", "39 38031.0 42 1 \n", "40 10701.0 42 1 \n", "41 19650.0 42 1 \n", "42 45147.0 47 2 \n", "43 6179.0 36 1 \n", "44 32447.0 40 1 \n", "45 44870.0 43 1 \n", "46 20468.0 35 1 \n", "47 42871.0 43 1 \n", "48 11211.0 32 1 \n", "49 51546.0 49 1 \n", "50 34390.0 40 1 \n", "51 3133.0 43 2 \n", "52 70621.0 46 1 \n", "53 7150.0 29 1 \n", "54 10848.0 35 1 \n", "55 31913.0 47 1 \n", "56 20934.0 42 1 \n", "57 10011.0 51 3 \n", "58 7380.0 39 3 \n", "59 3121.0 31 1 \n", "60 10848.0 35 1 \n", "61 12829.0 36 1 \n", "62 40274.0 62 2 \n", "63 12184.0 34 1 \n", "64 3064.0 37 1 \n", "65 5059.0 42 2 \n", "66 1.0 1 2 \n", "67 36250.0 54 1 \n", "68 77205.0 53 1 \n", "69 74908.0 65 3 \n", "70 3058.0 31 1 \n", "71 12184.0 34 1 \n", "72 12962.0 36 1 \n", "73 61203.0 45 1 \n", "74 15007.0 40 1 \n", "75 15347.0 35 1 \n", "76 69339.0 46 1 \n", "77 27699.0 54 1 \n", "78 57656.0 42 1 \n", "79 44870.0 43 1 \n", "80 90157.0 61 1 \n", "81 80933.0 46 1 \n", "82 509.0 12 1 \n", "83 29108.0 40 1 \n", "84 20468.0 35 1 \n", "85 1805.0 29 5 \n", "86 12.0 8 5 \n", "87 1.0 5 5 \n", "88 2671.0 47 5 \n", "89 44235.0 43 5 \n", "90 52237.0 50 3 \n", "91 22905.0 37 3 \n", "92 38499.0 42 1 \n", "93 36693.0 49 1 \n", "94 36719.0 45 1 \n", "95 77205.0 53 1 \n", "96 70621.0 46 1 \n", "97 29541.0 43 1 \n", "98 35719.0 47 1 \n", "99 3095.0 39 2 \n", "100 35006.0 49 2 \n", "Rows: 1-100 | Columns: 25" ] }, "execution_count": 27, "metadata": {}, "output_type": "execute_result" } ], "source": [ "polish_tracks = vp.vDataFrame(\"spotify.polish_tracks_clean\")\n", "\n", "# count the number of artists per track\n", "polish_tracks.regexp(column = \"artists\", \n", " pattern = \",\", \n", " method = \"count\",\n", " name = \"nb_singers\")\n", "polish_tracks[\"nb_singers\"].add(1)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Define a list of predictors and the response, and then save the normalized version of the final dataset to the database." ] }, { "cell_type": "code", "execution_count": 28, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
Abc
id
Varchar(44)
Abc
Varchar(96)
123
popularity
Int
123
duration_ms
Int
123
explicit
Int
Abc
Varchar(100)
Abc
Varchar(156)
Abc
release_date
Varchar(20)
123
danceability
Float
123
energy
Float
123
key
Int
123
loudness
Float
123
mode
Int
123
speechiness
Float
123
acousticness
Float
123
instrumentalness
Float
123
liveness
Float
123
valence
Float
123
tempo
Numeric(9,4)
123
time_signature
Int
123
duration_minute
Float
123
release_year
Float
123
artists_followers
Float
123
artist_popularity
Float
123
nb_singers
Float
10004Uy71ku11n3LMpuyf593425890702012-01-010.6173245614035090.59936138807723660.79767505538545810.0024051601618020.1778894472361810.001514841351074720.0612919896640830.365659943567771140.05640.168255848386141550.8928571428571430.0542600762282040.50.0
2008UO76dicJJrUb5g6WID042216813020010.6765350877192980.88653593196172390.92579593259154200.0236142997704170.1648241206030150.00.0694573643410850.74187480405476119.98140.137093574178264730.7619047619047620.4712643678160920.6111111111111110.0
300D7fT49Q54HNiaaLY32UA4119623102017-06-070.5274122807017540.67266118424355610.90468722774002410.0980649393243690.1989949748743720.00.0997416020671830.120075242972097120.06150.121856677524429970.9523809523809520.7542190610525890.8194444444444440.222222222222222
400De7REGurYkmfrKAh6CU13640086701992-10-300.1732456140350880.102328523661777110.46028427052995800.0259101344703180.5125628140703520.7082906857727740.0550904392764860.001881074302435114.59230.2733491264435890.6547619047619050.1168632393985770.5555555555555560.0
500KCwnrvIXX8GRU3ZMOIBW5520782102019-12-060.8388157894736840.69274332017953460.87660866751300600.043074231988630.172864321608040.001019447287615150.072971576227390.596614066255617123.98540.130436778205507840.9761904761904760.2340666046437180.750.0
600g7zzRDf2DOf4fKYzFTUA4619285702018-08-240.7565789473684210.7981745338434210.86585517636223310.3374877008855360.5698492462311560.00.0784496124031010.726199184867802112.34340.119358898430559660.9642857142857140.2814441343297020.5972222222222220.0
700i4Q7OfN0mGnUyuyQcAdZ29792401978-01-010.56250.67466939783715470.84058945062604200.0780583797966550.6321608040201010.00.2082687338501290.93729752325216898.84240.0490798045602605860.4880952380952384.0014805478e-050.0555555555555560.111111111111111
800i4Q7OfN0mGnUyuyQcAdZ29792401978-01-010.56250.67466939783715470.84058945062604200.0780583797966550.6321608040201010.00.2082687338501290.93729752325216898.84240.0490798045602605860.4880952380952380.0505987215269650.5833333333333330.111111111111111
900l8ILQ8qgsew789dGn1Gh732624001963-03-250.5570175438596490.60136960167083420.83202648545042700.0066688531759050.5115577889447249.71340839303992e-060.1452196382428940.782631413940851102.42840.21810260586319220.309523809523810.0069525724518070.1250.0
1000vlVv7WLZjyRS783REKmn24243107019980.9024122807017540.50597945597493710.82550469220620810.3812178856455670.0521608040201010.00.1979328165374680.35938969589298893.0540.156559076103050030.7261904761904760.4121224853195680.5138888888888890.0
1100wJpDUdKoWQ2ibqTpJh1Y3221165301998-08-300.813596491228070.92469199024008260.83531227441316300.0106045698043070.3155778894472360.0004278403275332650.2165374677002580.989549587208695130.10340.133273615635179140.7261904761904760.0798895591368810.3750.0
12010cqDI9IKD8f3Ji8TnT9h1419121301967-04-140.4956140350877190.415609844263036100.82129788664028110.0161801683612110.7879396984924620.00.0703875968992250.52241613543735135.1540.118141841871483560.3571428571428570.137090723567720.4861111111111110.0
130123TtFcZ7pZIss52i7nAK2317416001995-02-270.6293859649122810.62747637838760500.6992009558658810.0127910790423090.0148743718592960.000658137154554760.0376227390180880.746054969171282126.6340.105517471128220310.690476190476190.0113141862489120.3888888888888890.0
14015JvDPIBquLQTX6VZPwB2114221101960-09-070.2445175438596490.29310881505356900.72740397779603210.0122444517328090.6894472361809056.86796315250768e-060.6310077519379840.405371512174731112.21430.081865561148948770.2738095238095240.12187509378470.4722222222222220.0
1501FN979nyz1gmdsfWZv5OL4518229301995-08-310.5449561403508770.68671867939874120.85694371841784310.0029517874713020.0624120603015086.01842374616172e-050.2051679586563310.36461490228864112.02940.11153834764583950.690476190476190.1670318017666540.5277777777777780.0
1601LN8YM6L9V2a135AnhZqf5716833302020-12-050.6118421052631580.45878643652538970.75436238269484500.0381545862031270.1175879396984923.57215967246674e-050.1369509043927650.247570279026022144.04640.10120373112229790.9880952380952380.0884327201064390.6388888888888890.111111111111111
1701LN8YM6L9V2a135AnhZqf5716833302020-12-050.6118421052631580.45878643652538970.75436238269484500.0381545862031270.1175879396984923.57215967246674e-050.1369509043927650.247570279026022144.04640.10120373112229790.9880952380952380.0094935125996620.8750.111111111111111
1801j7wulLc7rJVk0STUPEKu520016001967-03-060.3859649122807020.24290347521362440.73910337789062300.0090740133377060.9618090452261310.0005179119754350050.1472868217054260.287281847632982132.140.124765324252294930.3571428571428570.0164460850514690.2083333333333330.0
1901lYEV7KZT34GOAW2MIgHF3545830701969-06-110.2872807017543860.54915604823729130.82137256366216110.0381545862031270.5356783919597990.002088024564994880.2072351421188630.185912843557321140.60330.31587207580692920.3809523809523810.8718725928593580.5833333333333330.0
2001uK4bh8p175iZj7uSkp5k45204893020000.6052631578947370.53309033948850820.80491872650785400.0059035749426040.4221105527638192.55885363357216e-060.0956072351421190.34266903542689996.0740.128269173822919750.750.7723257605313970.7361111111111110.0
21025zlWO2FRZZrFhRw5kqa94019189302013-11-150.6644736842105260.97891375726722350.93537948373285500.1330490871323930.0012060301507543.87922210849539e-060.0935400516795870.186957884836451110.04340.118645247260882440.9047619047619050.2961195642387680.5833333333333330.0
22028DQ7NS44vnLRaoon0mwg18232640019870.3399122807017540.96987679609603320.94797500809001110.1494479064174050.0012060301507540.0003346980552712380.0560206718346250.435677709269516119.50440.148810334616523540.5952380952380950.2363674559587050.5277777777777780.0
2302GvdetV646M4C1Ip8CKg5920950701978-07-220.5197368421052630.23587472763603150.67774375824558800.0499617360883350.5326633165829150.00080143295803480.1968992248062020.300867384261678123.0940.131684927450399750.4880952380952380.1188239648670010.3333333333333330.0
2402IpFuItRz1yXbYAtHsXJs4021843602000-11-200.5241228070175440.66563243666596450.86299255719015310.0331256149557230.227135678391962.97850562947799e-050.0760723514211890.320723168565158112.77140.138295084394432920.750.1332793133459380.5416666666666670.0
2502JLJi7sryFu44hhNWOv1c3025400012010-09-240.8541666666666670.70278438814752300.84382545490752510.4118290149775880.2231155778894470.00.0486821705426360.45239836973560590.01740.16462318625999410.8690476190476190.1061392715304660.6111111111111110.222222222222222
2602RqhFaAYzWScfVzKfTZ7L5320278402020-01-070.6052631578947370.71081724252191510.91133348268737700.1778725265114250.0372864321608040.00.019224806201550.750235134287804103.81140.126707876813740020.9880952380952380.5007452757520280.7638888888888890.111111111111111
2702hewGMWcG5Vp8nwhcmTA019219267019940.5405701754385960.79616632024982240.74472904687227710.0837433038154590.0083417085427140.00.1989664082687340.14306615111296993.82440.13891027539236010.6785714285714290.481248061782860.5833333333333330.0
2802yg6Eksd8zZpYxsT1Lpsp2910421301999-01-010.4813596491228070.82026488337299670.8522390660393810.0241609270799170.0065326633165831.40225179119754e-060.0443410852713180.923711986623472184.25440.0537355641101569460.7380952380952380.9336454488160620.6527777777777780.0
2903UV1fQG0MIm4CPszfttTJ3518383402006-06-260.6589912280701750.65358315510437740.90620566051825900.0301738274844210.0293467336683420.00.066873385012920.495245062179956125.99140.112679153094462540.8214285714285710.5540950151556080.6111111111111110.0
3004GlMx0s7MvdMr2MEXX8s83425584002008-04-180.5186403508771930.87247843680653910.74833843626316210.014868262818410.0002010050251260.1637666325486180.0469250645994830.876685129062598155.97540.165985342019543990.8452380952380950.576763402458910.5833333333333330.0
3104PxH7CFGAaAvo6j0zZAOr4222940702014-11-070.7061403508771930.77106365032984910.90394045752122100.0473379250027330.028944723618090.00.2930232558139530.525551259274741100.03140.146416938110749180.9166666666666670.158788751838180.6250.222222222222222
3204PxH7CFGAaAvo6j0zZAOr4222940702014-11-070.7061403508771930.77106365032984910.90394045752122100.0473379250027330.028944723618090.00.2930232558139530.525551259274741100.03140.146416938110749180.9166666666666670.6559126876944470.6944444444444440.222222222222222
3304QM4iqGabg7QlphUoWiMB2626740801995-05-080.5833333333333330.87047022321294110.88079058073830700.0465726467694330.1206030150753777.05220061412487e-050.3095607235142120.6018392726512791.5740.17454915605567070.690476190476190.5241139221511960.6527777777777780.0
3404izaHyfYxsE3AQ68kgB4I2414582702000-04-200.7247807017543860.7700595435330590.88036741094765100.1658467257024160.1788944723618090.00.073281653746770.620650015675619131.90940.084542493337281620.750.0080929944079310.3333333333333330.0
3504kSSveBKXiNeRaOXu2iog4322993301999-06-050.6710526315789470.43669608699581300.77123938963980800.014212310047010.2994974874371860.00.1700258397932820.197408297627756105.42140.14680633698549010.7380952380952380.5007452757520280.7638888888888890.111111111111111
3604wTGEh2gJTG72yUoizwFV10205693019800.4550438596491230.85340040766736100.86261917208075110.0345468459604240.0001005025125630.003316274309109520.3064599483204130.493154979621695112.03740.128861415457506650.5119047619047620.576763402458910.5833333333333330.0
37053zfKbxSoqRm2RCdJdQMS2820140001997-01-010.3947368421052630.95883162133124520.89176810295472110.0264567617798190.0010050251256280.02067553735926310.0976744186046510.590343818580834166.19340.125683298785904650.7142857142857140.1343697167952140.4305555555555560.0
38053zgCcuWJ9x4dJJgaF4VS10509704019820.1359649122807020.19972688295127100.60859283598436810.0159615174374110.788944723618090.4104401228249740.1989664082687340.011495454070436135.56840.35392137992300860.5357142857142860.0922041155227430.4027777777777780.0
39054VUAvYt59A1yGSrBAgac2220321301976-02-120.5230263157894740.48690142683575850.79473775919149710.0306111293320210.7336683417085430.02773797338792220.1121447028423770.818162817431289147.66840.127025466390287220.4642857142857140.380440763082340.5833333333333330.0
4005IAxc7j9T9KcEu0lAgbfB4621601302016-01-030.7894736842105260.928708417427278110.95745898986881710.0792609598775550.1256281407035180.00.1906976744186050.982234298254781133.93340.136501332543677830.940476190476190.1070396046537220.5833333333333330.0
4105JJTD8KdxbZsMnOn6imMv42230853020000.6622807017543860.91063449508489770.92360540661638400.1264895594183890.0795979899497490.000306038894575230.1028423772609820.84010868429303168.03240.147487414865265040.750.1965627282094370.5833333333333330.0
4205RcrI18Qi65dwc3vegSNP4321600002017-10-270.6337719298245610.88251950477452800.90488636646503910.1089974855143760.0876381909547740.00.3002583979328170.63841571742083879.99440.13649170861711580.9523809523809520.451627102027750.6527777777777780.111111111111111
4305hJSmfNiPXSzwSLeG1Rfb3923250702016-10-210.4166666666666670.42565091223102560.86620366913100800.0115884989614080.8261306532663320.004083930399181170.1018087855297160.47643431915560799.84240.148711874444773460.940476190476190.0618028670608130.50.0
4405hk8ivnCt0HP3aI1uWJfi4329506702015-03-060.5899122807017540.76303079595545820.81930649939013810.0178200502897120.5396984924623120.00.3188630490956070.684397533702581106.97240.195025170269469940.9285714285714290.3245800946350150.5555555555555560.0
4505v1D17vjtCNRyalBVGbKU3448116002007-06-100.4078947368421050.785121145485034110.77233465262738700.0405597463649280.8331658291457290.05097236438075740.9793281653746770.337443829031247108.14240.33279019840094760.8333333333333330.4488560767483970.5972222222222220.0
4605yf5sbF36dhwGRfj18sg52722564702007-11-190.9342105263157890.69073510658593670.87357180195653810.1888050727014320.1095477386934670.00.2485788113695090.73037934998432492.97140.14363340242819070.8333333333333330.2047457559296940.4861111111111110.0
47062pHiX7lpKRDmFvmJor3o38182813020060.502192982456140.99397535921920720.90543399795882810.0882256477533620.0012060301507541.19754350051177e-060.3250645994832040.398056223220817146.55340.1119233047083210.8214285714285710.4288586777107530.5972222222222220.0
48063FiQaY2FuZe3a44rZuSX3722118702012-08-080.7807017543859650.7057967085379200.90127697707415410.0228490215371160.1949748743718591.69907881269191e-060.1648578811369510.72933430870519495.00840.140331655315368680.8928571428571430.112141492352170.4444444444444440.0
49063ZobFSzYA0O7fmfi4oik4221268902002-03-120.7752192982456140.952806980550451100.91952306275359110.029080572865420.1527638190954770.00.3571059431524550.84951405580520499.98640.13404056855196920.7738095238095240.5156407870912240.6805555555555560.0
5006AIE9kwssJ3cmPbMuHobb3032313302007-05-110.0844298245614040.9176632426624970.89716974087073410.0380452607412270.0023115577889457.93244626407369e-050.114211886304910.38447068659212166.2140.215802487414865270.8333333333333330.3440172863959670.5555555555555560.0
5106K6svVGbiQILn9BAzZNgo3737412012013-12-130.6074561403508770.76303079595545800.80349986309212700.0507270143216360.0149748743718591.45342886386899e-060.1100775193798450.335353746472986133.99240.25354826769321880.9047619047619050.0313315926892950.5972222222222220.111111111111111
5206LDaZRAWOc0fNqkdOQo9S1877853019980.7697368421052630.454770009338193100.75232121076344810.013993659123210.3015075376884420.8147389969293760.0559173126614990.471209112759954147.90140.034221202250518210.7261904761904760.7064613907145640.6388888888888890.0
5306SnvuakcuOcj3odFZpIpJ1813763901969-09-060.6425438596491230.540119087066120.78560227018146500.0085273860282060.0726633165829150.00.119379844961240.80457728080259294.85840.078480900207284570.3809523809523810.0715164610906040.4027777777777780.0
5406V1fPvTfXdIBMUItnLmQ71411949301967-10-160.4133771929824560.33226898012872650.63410748512682600.013884333661310.7658291457286430.0005414534288638690.092506459948320.32699341623994179.07830.065047379330766960.3571428571428570.1085101487550390.4861111111111110.0
5506kPUkFJv1RfEVjgEF3oRz2325022701997-01-010.7576754385964910.73591991244188700.77696462798396910.0132283808899090.0088442211055280.02241555783009210.0894056847545220.863099592433901129.87940.161830026650873570.7142857142857140.3192381181036980.6527777777777780.0
5607Iyx8PziAv997SrJanQgl11279013019810.3300438596491230.138476368346537100.52629875787220300.0095113151853070.3557788944723628.86386898669396e-060.213436692506460.06907722855052897.96440.18314036126739710.5238095238095240.2094074807678840.5833333333333330.0
5707QfWWYlJsbXiEbbKSvqcd3432099312010-04-260.501096491228070.957827514534446100.88616732631369300.2926642615065050.0139698492462317.21596724667349e-060.3633074935400520.66454174939910184.01140.214218241042345270.8690476190476190.1001370507087620.7083333333333330.222222222222222
5807QfWWYlJsbXiEbbKSvqcd3432099312010-04-260.501096491228070.957827514534446100.88616732631369300.2926642615065050.0139698492462317.21596724667349e-060.3633074935400520.66454174939910184.01140.214218241042345270.8690476190476190.073817312405590.5416666666666670.222222222222222
5907rj0QlIw4hRcvhIJGY2Lf612317301965-10-120.5416666666666670.18767760138968400.65150723122495200.0275500163988190.972864321608048.84339815762538e-060.119379844961240.28205664123732967.15240.067771690849866740.3333333333333330.0312115482728610.4305555555555560.0
600804d5chEAcksTIZ7IVh6O2920000001967-10-160.2960526315789470.43870430058941190.69397356433425400.0253635071608180.8793969849246235.03582395087001e-050.5090439276485790.339533911589508101.97540.124646875925377560.3571428571428570.1085101487550390.4861111111111110.0
6108D5BLpRFI6PT2XYuq7eDg2827326701996-01-010.6973684210526320.94075769898886450.86530754486844400.0076527823330050.5095477386934675.496417604913e-060.2434108527131780.985369422092173137.92140.17888658572697660.7023809523809520.1283274811680320.50.0
6208D6EqghkRLD6iFHKKWJ4Y5521312012020-01-270.7653508771929820.6877227861955400.80867746994249900.0367333551984260.3015075376884420.02691914022517910.1080103359173130.46389382380604125.01840.13435963873260290.9880952380952380.4028790652541440.8611111111111110.111111111111111
6308ER472xnuMlbtkKSh3PB41116686701975-09-070.3037280701754390.289092387866373100.66445124835088210.071498852082650.9346733668341710.00.0966408268733850.402236388337339178.15940.100118448326917380.4523809523809520.12187509378470.4722222222222220.0
6408ULDx4KeBpXe7OHEWjgVP4527729302014-04-160.68750.93172073781767430.91807930699723710.0174920739040120.0147738693467340.001187308085977480.3250645994832040.970738844184345153.06840.181867041753035220.9166666666666670.0306413372947990.5138888888888890.0
6508uPk6Ge77W31WGGYNEPHA215636901978-01-010.4484649122807020.54714783464369350.80795559206432210.3189023723625230.7849246231155781.31013306038895e-060.0904392764857880.73664959765910892.54440.092346757477050640.4880952380952380.0505987215269650.5833333333333330.111111111111111
6608uPk6Ge77W31WGGYNEPHA215636901978-01-010.4484649122807020.54714783464369350.80795559206432210.3189023723625230.7849246231155781.31013306038895e-060.0904392764857880.73664959765910892.54440.092346757477050640.4880952380952380.00.0138888888888890.111111111111111
6708xY8SSfwHc7SIXWroGW9j16167360019940.2894736842105260.24491168880722220.67189405819829200.0172734229802120.6603015075376880.00.0945736434108530.584073570906051124.35440.100483417234231570.6785714285714290.3626241709432490.750.0
68095PNli2gmoYwlvgotxxEs28269067019950.5657894736842110.61643120362281770.90000746770218800.0051382967093040.0551758793969856.16171954964176e-060.0832041343669250.120075242972097119.80440.175777317145395320.690476190476190.7723257605313970.7361111111111110.0
6909FEC2H0Ls5bXMSFj2bLzL5019846002018-10-240.7105263157894740.80821560181140900.82884026585019810.213949928938450.2994974874371860.0001279426816786080.1038759689922480.925802069181733169.84840.123506810778797740.9642857142857140.749347258485640.9027777777777780.222222222222222
7009GKW7x0iMuxzzM7IeQ01g715352101964-02-210.5054824561403510.20775973732566200.70716650486645310.0115884989614080.7396984924623120.00.1772609819121450.54018183718256982.01840.090238377257921230.3214285714285710.0305813150865820.4305555555555560.0
7109PwmLzRfWj5hkmIiw1a9X2125131601969-09-070.2883771929824560.3844825335622700.79834714858238110.0087460369520060.7175879396984928.08597748208802e-060.3746770025839790.36356986100951119.00240.162636215575954980.3809523809523810.12187509378470.4722222222222220.0
7209d4etyrEWf5BguIIUfRW91221252301974-08-160.2719298245614040.42866323262142290.81141562741144500.0095113151853070.4361809045226130.00.1266149870801030.29564217786602683.69540.133917678412792420.440476190476190.1296579734501770.50.0
730ADOK8ffxUlSDu51nIu5KU23274533019990.6600877192982460.29812934903756410.74891096009757800.0045916693998030.4120603015075380.00.3591731266149870.545407043578221103.03740.17982380811371040.7380952380952380.612246531216550.6250.0
740AGuYcLlnbR7AOQSbTGzIz2923296002000-12-310.4243421052631580.57325461136046420.80559081970477700.0076527823330050.0803015075376880.0001136131013306040.2847545219638240.554812415090396201.07740.14904723127035830.750.1501155427508180.5555555555555560.0
750AHy3nZXS725AAHDC0qjPR2220233601966-09-280.4627192982456140.36239218403269490.75710054016379210.0157428665136110.8824120603015080.00.3023255813953490.353119448218205117.99940.126376221498371330.3452380952380950.153516801216450.4861111111111110.0
760AJJJnR5VwJfeYGvnyG74v719153001967-03-290.627192982456140.30214577622475970.67707166504866500.0042636930141030.7778894472361810.002221084953940630.0894056847545220.389695892987773104.85940.118376517619188630.3571428571428570.6936366455588570.6388888888888890.0
770ATVUbPlX65HB5H1WbIugt5418135612020-12-040.9111842105263160.90059342711690870.78321260548129310.2893844976495030.1859296482412060.00.0643927648578810.895495872086947154.91240.110844684631329580.9880952380952380.2770825205325970.750.0
780AUeyoLQYwYUDsQRJZKvZd22248907019800.3991228070175440.8252854173569940.88131331989146910.0219744178419150.0005025125628144.4114636642784e-050.1214470284237730.409551677291253195.9940.160852827953805150.5119047619047620.576763402458910.5833333333333330.0
790AXtdoJaVk6W8pcYstecgw33193227020000.5866228070175440.8072114950146120.85333432902695810.0228490215371160.28.20880245649949e-050.0050645994832040.717838854634758120.17240.119632810186556110.750.4488560767483970.5972222222222220.0
800AYmWvKRGtgePrpo3NdYXh4821853002019-02-010.6370614035087720.38147021317187340.75286884225723710.0072154804854050.940703517587940.4472876151484140.0945736434108530.215173999372975112.99640.13836467278649690.9761904761904760.9018937006692480.8472222222222220.0
810ApseFDjbipbKK0dBD4Viz3526701312005-11-150.8519736842105260.69776385416352990.88121375052896200.2959440253635070.0779899497487440.00.1421188630490960.53704671334517790.01140.174256736748593430.809523809523810.8096195592369180.6388888888888890.0
820Aq0weZZ0YzbrNlsA8UV3P2329410701997-01-050.5592105263157890.59634906768683970.81420356956164610.0041543675522030.0157788944723620.0003387922210849540.13281653746770.188002926115582140.84340.194314480307965640.7142857142857140.0050818802957090.1666666666666670.0
830Au3WxSl0fm6IvSZHCShjZ2215718701998-01-010.4868421052631580.92469199024008240.86543200657157800.0198972340658140.0141708542713570.01791197543500510.1400516795865630.639460758699969139.0840.092952324548415750.7261904761904760.2911777357622320.5555555555555560.0
840AwC0oZxr25SOcThearmN42830038302005-04-290.9506578947368420.7057967085379270.87197869215642310.0376079588936260.013567839195980.00.0620155038759690.75023513428780499.02440.198960615931299960.809523809523810.2047457559296940.4861111111111110.0
850B1uuoyiPSkV2f8cAw473e023077301946-01-010.2269736842105260.19169402857687960.59955691633684310.0599103531212420.9959798994974870.90071647901740.1803617571059430.32908349879820379.24410.147428190701806320.1071428571428570.018046677270590.4027777777777780.444444444444444
860B1uuoyiPSkV2f8cAw473e023077301946-01-010.2269736842105260.19169402857687960.59955691633684310.0599103531212420.9959798994974870.90071647901740.1803617571059430.32908349879820379.24410.147428190701806320.1071428571428570.0001100407150650.1111111111111110.444444444444444
870B1uuoyiPSkV2f8cAw473e023077301946-01-010.2269736842105260.19169402857687960.59955691633684310.0599103531212420.9959798994974870.90071647901740.1803617571059430.32908349879820379.24410.147428190701806320.1071428571428570.00.0694444444444440.444444444444444
880B1uuoyiPSkV2f8cAw473e023077301946-01-010.2269736842105260.19169402857687960.59955691633684310.0599103531212420.9959798994974870.90071647901740.1803617571059430.32908349879820379.24410.147428190701806320.1071428571428570.0267098826565830.6527777777777780.444444444444444
890B1uuoyiPSkV2f8cAw473e023077301946-01-010.2269736842105260.19169402857687960.59955691633684310.0599103531212420.9959798994974870.90071647901740.1803617571059430.32908349879820379.24410.147428190701806320.1071428571428570.442503726378760.5972222222222220.444444444444444
900BHIwbxTN0iSClgDaO36Ft3429388202009-02-210.6798245614035090.86946611641614290.96696786398825100.4260413250245980.3497487437185930.00.1927648578811370.823388023826941173.87440.194147912348238080.8571428571428570.5225533447375530.6944444444444440.222222222222222
910BHIwbxTN0iSClgDaO36Ft3429388202009-02-210.6798245614035090.86946611641614290.96696786398825100.4260413250245980.3497487437185930.00.1927648578811370.823388023826941173.87440.194147912348238080.8571428571428570.2291247761671820.5138888888888890.222222222222222
920BleuvVMt39PmQaukAdEcv37228053020100.3892543859649120.5039712423813450.81253578273965110.0064502022521050.6251256281407041.8014329580348e-050.1080103359173130.367750026126032156.07440.145414569144210830.8690476190476190.385122495323270.5833333333333330.0
930Bn854XtnJv15m9f1ZvWbe4419401302011-05-310.4714912280701750.88151539797772960.91250342269683600.0233956488466160.3005025125628140.00.0863049095607240.614379768000836160.01540.120214687592537760.8809523809523810.367055810649940.6805555555555560.0
940BsQm2iFzKTzAemliJtu8x3920123102016-11-250.5482456140350880.79214989306262640.87065939810320410.0076527823330050.0054271356783920.00.072661498708010.599749190093009129.99240.125558187740598150.940476190476190.3673159068855480.6250.0
950C2VNcmHdRRvQtetkaZVn532311440019900.5910087719298250.39452360153025910.67191895053891900.0027331365475020.6713567839195983.85875127942682e-050.1038759689922480.336398787752116102.0340.20714613562333430.6309523809523810.7723257605313970.7361111111111110.0
960C2XO15BhHDglDB724brOi43316627019980.8552631578947370.541123193862899100.72847434844298400.2041106373674430.0955778894472361.22824974411464e-050.0935400516795870.67917232730692980.98840.21098608232158720.7261904761904760.7064613907145640.6388888888888890.0
970CAinfqSGq1peA63s4gNam2118793301988-12-310.6282894736842110.297125242240765100.76187986956413510.0100579424948070.8934673366834170.00.073281653746770.585118612185181116.33530.115713651169677230.6071428571428570.2955093384552280.5972222222222220.0
980CBj18X3J7MabwDqKeMxuo47239373019990.3552631578947370.76905543673625100.87618549772235110.1068109762763750.1246231155778890.00.0544702842377260.74082976277563119.97340.153794788273615650.7380952380952380.3573122055160410.6527777777777780.0
990CLO6b6Ohrnmp9fDLvYj3U25162987020030.2357456140350880.33929772770631980.69362507156547900.0115884989614080.9869346733668340.00.2124031007751940.25175044414254491.16540.097246076399170860.7857142857142860.0309514520372540.5416666666666670.111111111111111
1000CMxaedU31OgxQvrA1VE1J5422586702019-10-250.8793859649122810.61542709682601830.90311901028053700.2237892205094570.2402010050251260.00.0663565891472870.399101264499948114.95940.14379626887770210.9761904761904760.3501795664395830.6805555555555560.111111111111111
Rows: 1-100 | Columns: 25
" ], "text/plain": [ " id name \\\\\n", "1 0004Uy71ku11n3LMpuyf59 24.11.94 - Wersja Akustyczna \\\\\n", "2 008UO76dicJJrUb5g6WID0 Maj \\\\\n", "3 00D7fT49Q54HNiaaLY32UA Arabska noc \\\\\n", "4 00De7REGurYkmfrKAh6CU1 Dracula- The Beginning \\\\\n", "5 00KCwnrvIXX8GRU3ZMOIBW Désolée (Paris/Paname) \\\\\n", "6 00g7zzRDf2DOf4fKYzFTUA Wiraże \\\\\n", "7 00i4Q7OfN0mGnUyuyQcAdZ Pieseň Roxany a kadetov (Hráči mimo hry) \\\\\n", "8 00i4Q7OfN0mGnUyuyQcAdZ Pieseň Roxany a kadetov (Hráči mimo hry) \\\\\n", "9 00l8ILQ8qgsew789dGn1Gh Nyamaland \\\\\n", "10 00vlVv7WLZjyRS783REKmn Upadek \\\\\n", "11 00wJpDUdKoWQ2ibqTpJh1Y Ze Mną Bądź \\\\\n", "12 010cqDI9IKD8f3Ji8TnT9h Ballada o trzech trubadurach \\\\\n", "13 0123TtFcZ7pZIss52i7nAK Kocie Sprawy \\\\\n", "14 015JvDPIBquLQTX6VZPwB2 Kiedy znów zakwitną białe bzy \\\\\n", "15 01FN979nyz1gmdsfWZv5OL O Sobie Samym \\\\\n", "16 01LN8YM6L9V2a135AnhZqf Światłocienie \\\\\n", "17 01LN8YM6L9V2a135AnhZqf Światłocienie \\\\\n", "18 01j7wulLc7rJVk0STUPEKu Pyzate słoneczniki \\\\\n", "19 01lYEV7KZT34GOAW2MIgHF Jednego serca \\\\\n", "20 01uK4bh8p175iZj7uSkp5k O Tobie \\\\\n", "21 025zlWO2FRZZrFhRw5kqa9 Imperium UBOJU \\\\\n", "22 028DQ7NS44vnLRaoon0mwg Polska złota młodzież \\\\\n", "23 02GvdetV646M4C1Ip8CKg5 Muzyko z tamtej strony dnia \\\\\n", "24 02IpFuItRz1yXbYAtHsXJs Deszcz w Cisnej - 1976 \\\\\n", "25 02JLJi7sryFu44hhNWOv1c Początek końca \\\\\n", "26 02RqhFaAYzWScfVzKfTZ7L Ramię W Ramię \\\\\n", "27 02hewGMWcG5Vp8nwhcmTA0 Spalaj się \\\\\n", "28 02yg6Eksd8zZpYxsT1Lpsp Nie Jestem Soba \\\\\n", "29 03UV1fQG0MIm4CPszfttTJ Puste słowa \\\\\n", "30 04GlMx0s7MvdMr2MEXX8s8 Kochać cię za późno \\\\\n", "31 04PxH7CFGAaAvo6j0zZAOr Brać \\\\\n", "32 04PxH7CFGAaAvo6j0zZAOr Brać \\\\\n", "33 04QM4iqGabg7QlphUoWiMB Dotyk (2020 Remaster) \\\\\n", "34 04izaHyfYxsE3AQ68kgB4I Barbarossa \\\\\n", "35 04kSSveBKXiNeRaOXu2iog Nie Ma Nie Ma Ciebie \\\\\n", "36 04wTGEh2gJTG72yUoizwFV Bez szans \\\\\n", "37 053zfKbxSoqRm2RCdJdQMS Proletariat \\\\\n", "38 053zgCcuWJ9x4dJJgaF4VS Król Świtu \\\\\n", "39 054VUAvYt59A1yGSrBAgac Będzie dość \\\\\n", "40 05IAxc7j9T9KcEu0lAgbfB Lubisz To Lubisz (Radio Edit) \\\\\n", "41 05JJTD8KdxbZsMnOn6imMv Gdzie Ten, Ktory Powie Mi \\\\\n", "42 05RcrI18Qi65dwc3vegSNP Echo - feat. Ewa Farna \\\\\n", "43 05hJSmfNiPXSzwSLeG1Rfb Czarne Serce \\\\\n", "44 05hk8ivnCt0HP3aI1uWJfi Oranżada \\\\\n", "45 05v1D17vjtCNRyalBVGbKU Jeszcze W Zielone Gramy \\\\\n", "46 05yf5sbF36dhwGRfj18sg5 Poland Story \\\\\n", "47 062pHiX7lpKRDmFvmJor3o Spodnie z GS-u (The Butels) \\\\\n", "48 063FiQaY2FuZe3a44rZuSX Jak Dobrze Cię Widzieć \\\\\n", "49 063ZobFSzYA0O7fmfi4oik Pędzą Konie \\\\\n", "50 06AIE9kwssJ3cmPbMuHobb Hipisówka \\\\\n", "51 06K6svVGbiQILn9BAzZNgo Każdy Dzień \\\\\n", "52 06LDaZRAWOc0fNqkdOQo9S Intro Dab \\\\\n", "53 06SnvuakcuOcj3odFZpIpJ Po co ja za tobą biegam \\\\\n", "54 06V1fPvTfXdIBMUItnLmQ7 Nie płacz już \\\\\n", "55 06kPUkFJv1RfEVjgEF3oRz Stary Cygan \\\\\n", "56 07Iyx8PziAv997SrJanQgl Naima \\\\\n", "57 07QfWWYlJsbXiEbbKSvqcd Pieniądze Nie Śmierdzą \\\\\n", "58 07QfWWYlJsbXiEbbKSvqcd Pieniądze Nie Śmierdzą \\\\\n", "59 07rj0QlIw4hRcvhIJGY2Lf Trudno \\\\\n", "60 0804d5chEAcksTIZ7IVh6O Nigdy więcej \\\\\n", "61 08D5BLpRFI6PT2XYuq7eDg Brązowe Oczy \\\\\n", "62 08D6EqghkRLD6iFHKKWJ4Y Vanilla \\\\\n", "63 08ER472xnuMlbtkKSh3PB4 Gwizdze na wszystko \\\\\n", "64 08ULDx4KeBpXe7OHEWjgVP Ale Ale Aleksandra \\\\\n", "65 08uPk6Ge77W31WGGYNEPHA Pieseň o úspechu \\\\\n", "66 08uPk6Ge77W31WGGYNEPHA Pieseň o úspechu \\\\\n", "67 08xY8SSfwHc7SIXWroGW9j ?ycia modele \\\\\n", "68 095PNli2gmoYwlvgotxxEs Dziesięć przykazań \\\\\n", "69 09FEC2H0Ls5bXMSFj2bLzL Gucci Mane \\\\\n", "70 09GKW7x0iMuxzzM7IeQ01g Okularnicy \\\\\n", "71 09PwmLzRfWj5hkmIiw1a9X Jesienne róże \\\\\n", "72 09d4etyrEWf5BguIIUfRW9 Zgubiłam to wszystko \\\\\n", "73 0ADOK8ffxUlSDu51nIu5KU Straciłam Swój Rozsądek \\\\\n", "74 0AGuYcLlnbR7AOQSbTGzIz Bo to jest moja muzyka \\\\\n", "75 0AHy3nZXS725AAHDC0qjPR Serce \\\\\n", "76 0AJJJnR5VwJfeYGvnyG74v Gdy ktoś kogoś pokocha \\\\\n", "77 0ATVUbPlX65HB5H1WbIugt Rakieta \\\\\n", "78 0AUeyoLQYwYUDsQRJZKvZd Nietykalni - skamieniałe zło \\\\\n", "79 0AXtdoJaVk6W8pcYstecgw Czarna Inez \\\\\n", "80 0AYmWvKRGtgePrpo3NdYXh Niemożliwe \\\\\n", "81 0ApseFDjbipbKK0dBD4Viz Zen \\\\\n", "82 0Aq0weZZ0YzbrNlsA8UV3P Autoportret \\\\\n", "83 0Au3WxSl0fm6IvSZHCShjZ Umarłe Drzewa \\\\\n", "84 0AwC0oZxr25SOcThearmN4 Smoking \\\\\n", "85 0B1uuoyiPSkV2f8cAw473e 12 Impressions: No. 12, Viennese (Arr... \\\\\n", "86 0B1uuoyiPSkV2f8cAw473e 12 Impressions: No. 12, Viennese (Arr... \\\\\n", "87 0B1uuoyiPSkV2f8cAw473e 12 Impressions: No. 12, Viennese (Arr... \\\\\n", "88 0B1uuoyiPSkV2f8cAw473e 12 Impressions: No. 12, Viennese (Arr... \\\\\n", "89 0B1uuoyiPSkV2f8cAw473e 12 Impressions: No. 12, Viennese (Arr... \\\\\n", "90 0BHIwbxTN0iSClgDaO36Ft Wojna \\\\\n", "91 0BHIwbxTN0iSClgDaO36Ft Wojna \\\\\n", "92 0BleuvVMt39PmQaukAdEcv Dziś już wiem \\\\\n", "93 0Bn854XtnJv15m9f1ZvWbe Papieros \\\\\n", "94 0BsQm2iFzKTzAemliJtu8x Swoje szczęście znam \\\\\n", "95 0C2VNcmHdRRvQtetkaZVn5 Miłość i ja \\\\\n", "96 0C2XO15BhHDglDB724brOi Film \\\\\n", "97 0CAinfqSGq1peA63s4gNam Witraże \\\\\n", "98 0CBj18X3J7MabwDqKeMxuo A Wszystko To...(Bo Ciebie Kocham) \\\\\n", "99 0CLO6b6Ohrnmp9fDLvYj3U Sławcie usta \\\\\n", "100 0CMxaedU31OgxQvrA1VE1J THC \\\\\n", " popularity duration_ms explicit artists \\\\\n", "1 34 258907 0 ['Golden Life'] \\\\\n", "2 42 216813 0 ['Varius Manx'] \\\\\n", "3 41 196231 0 ['Quebonafide', 'Solar', 'Wac Toja'] \\\\\n", "4 36 400867 0 ['Wojciech Kilar'] \\\\\n", "5 55 207821 0 ['SHANGUY'] \\\\\n", "6 46 192857 0 ['Szopeen'] \\\\\n", "7 2 97924 0 ['Kamila Magálová', 'Vivat'] \\\\\n", "8 2 97924 0 ['Kamila Magálová', 'Vivat'] \\\\\n", "9 7 326240 0 ['Andrzej Kurylewicz Quintet'] \\\\\n", "10 24 243107 0 ['Molesta'] \\\\\n", "11 32 211653 0 ['Toledo'] \\\\\n", "12 14 191213 0 ['Wojciech Młynarski'] \\\\\n", "13 23 174160 0 ['Buzu Squat'] \\\\\n", "14 1 142211 0 ['Mieczyslaw Fogg'] \\\\\n", "15 45 182293 0 ['Robert Gawlinski'] \\\\\n", "16 57 168333 0 ['Ochman', '@atutowy'] \\\\\n", "17 57 168333 0 ['Ochman', '@atutowy'] \\\\\n", "18 5 200160 0 ['Novi Singers'] \\\\\n", "19 35 458307 0 ['Czesław Niemen'] \\\\\n", "20 45 204893 0 ['Bajm'] \\\\\n", "21 40 191893 0 ['Hunter'] \\\\\n", "22 18 232640 0 ['Dezerter'] \\\\\n", "23 9 209507 0 ['Krzysztof Klenczon'] \\\\\n", "24 40 218436 0 ['Krystyna Prońko'] \\\\\n", "25 30 254000 1 ['Słoń', 'Mikser', 'Tomasz Struszczyk'] \\\\\n", "26 53 202784 0 ['Viki Gabor', 'Kayah'] \\\\\n", "27 19 219267 0 ['Kazik Na Żywo'] \\\\\n", "28 29 104213 0 ['Elektryczne Gitary'] \\\\\n", "29 35 183834 0 ['Łzy'] \\\\\n", "30 34 255840 0 ['Kombi'] \\\\\n", "31 42 229407 0 ['Donatan', 'Cleo', 'Enej'] \\\\\n", "32 42 229407 0 ['Donatan', 'Cleo', 'Enej'] \\\\\n", "33 26 267408 0 ['Edyta Gorniak'] \\\\\n", "34 24 145827 0 ['Orkiestra Dni Naszych'] \\\\\n", "35 43 229933 0 ['Kayah', 'Goran Bregović'] \\\\\n", "36 10 205693 0 ['Kombi'] \\\\\n", "37 28 201400 0 ['Proletaryat'] \\\\\n", "38 10 509704 0 ['Marek Bilinski'] \\\\\n", "39 22 203213 0 ['Anna Jantar'] \\\\\n", "40 46 216013 0 ['Power Play'] \\\\\n", "41 42 230853 0 ['Brathanki'] \\\\\n", "42 43 216000 0 ['Kaen', 'Ewa Farna'] \\\\\n", "43 39 232507 0 ['Limboski'] \\\\\n", "44 43 295067 0 ['KONIEC ŚWIATA'] \\\\\n", "45 34 481160 0 ['Raz Dwa Trzy'] \\\\\n", "46 27 225647 0 ['Vavamuffin'] \\\\\n", "47 38 182813 0 ['Farben Lehre'] \\\\\n", "48 37 221187 0 ['Tabu'] \\\\\n", "49 42 212689 0 ['GOLEC UORKIESTRA'] \\\\\n", "50 30 323133 0 ['Kobranocka'] \\\\\n", "51 37 374120 1 ['Sokół', 'Marysia Starosta'] \\\\\n", "52 18 77853 0 ['Kaliber 44'] \\\\\n", "53 18 137639 0 ['Trubadurzy'] \\\\\n", "54 14 119493 0 ['Piotr Szczepanik'] \\\\\n", "55 23 250227 0 ['Akcent'] \\\\\n", "56 11 279013 0 ['Stanisław Soyka'] \\\\\n", "57 34 320993 1 ['Siwers', 'Ero', 'Sokół'] \\\\\n", "58 34 320993 1 ['Siwers', 'Ero', 'Sokół'] \\\\\n", "59 6 123173 0 ['Mazowsze'] \\\\\n", "60 29 200000 0 ['Piotr Szczepanik'] \\\\\n", "61 28 273267 0 ['Milano'] \\\\\n", "62 55 213120 1 ['Trill Pem', 'Yann'] \\\\\n", "63 11 166867 0 ['Mieczyslaw Fogg'] \\\\\n", "64 45 277293 0 ['Andre'] \\\\\n", "65 2 156369 0 ['Jana Jakubcová', 'Vivat'] \\\\\n", "66 2 156369 0 ['Jana Jakubcová', 'Vivat'] \\\\\n", "67 16 167360 0 ['Grzegorz Turnau'] \\\\\n", "68 28 269067 0 ['Bajm'] \\\\\n", "69 50 198460 0 ['Deemz', 'Bedoes', 'Young Multi'] \\\\\n", "70 7 153521 0 ['Sława Przybylska'] \\\\\n", "71 21 251316 0 ['Mieczyslaw Fogg'] \\\\\n", "72 12 212523 0 ['Irena Jarocka'] \\\\\n", "73 23 274533 0 ['Kasia Kowalska'] \\\\\n", "74 29 232960 0 ['Bayer Full'] \\\\\n", "75 22 202336 0 ['Irena Santor'] \\\\\n", "76 7 191530 0 ['Czerwone Gitary'] \\\\\n", "77 54 181356 1 ['Jacuś'] \\\\\n", "78 22 248907 0 ['Kombi'] \\\\\n", "79 33 193227 0 ['Raz Dwa Trzy'] \\\\\n", "80 48 218530 0 ['Kwiat Jabłoni'] \\\\\n", "81 35 267013 1 ['WWO'] \\\\\n", "82 23 294107 0 ['Lizard'] \\\\\n", "83 22 157187 0 ['KSU'] \\\\\n", "84 28 300383 0 ['Vavamuffin'] \\\\\n", "85 0 230773 0 ['Jascha Heifetz', 'Leopold Godowsky'... \\\\\n", "86 0 230773 0 ['Jascha Heifetz', 'Leopold Godowsky'... \\\\\n", "87 0 230773 0 ['Jascha Heifetz', 'Leopold Godowsky'... \\\\\n", "88 0 230773 0 ['Jascha Heifetz', 'Leopold Godowsky'... \\\\\n", "89 0 230773 0 ['Jascha Heifetz', 'Leopold Godowsky'... \\\\\n", "90 34 293882 0 ['Miuosh', 'Bas Tajpan', 'Hemp Gru'] \\\\\n", "91 34 293882 0 ['Miuosh', 'Bas Tajpan', 'Hemp Gru'] \\\\\n", "92 37 228053 0 ['Urszula'] \\\\\n", "93 44 194013 0 ['Video'] \\\\\n", "94 39 201231 0 ['Feel'] \\\\\n", "95 32 311440 0 ['Bajm'] \\\\\n", "96 43 316627 0 ['Kaliber 44'] \\\\\n", "97 21 187933 0 ['Michał Bajor'] \\\\\n", "98 47 239373 0 ['Ich Troje'] \\\\\n", "99 25 162987 0 ['Irena Pfeiffer', 'Dominikański Ośro... \\\\\n", "100 54 225867 0 ['Young Igi', 'Włodi'] \\\\\n", " id_artists release_date danceability \\\\\n", "1 ['3NyQ2NjqMjDtVSiEkXFW2r'] 2012-01-01 0.617324561403509 \\\\\n", "2 ['6XdnqaETDFgrNMaeYmUx55'] 2001 0.676535087719298 \\\\\n", "3 ['1fxbULcd6ryMNc1usHoP0R', '1KJvuZHmk... 2017-06-07 0.527412280701754 \\\\\n", "4 ['6McH9ZlRL24gW6Bt4fpqad'] 1992-10-30 0.173245614035088 \\\\\n", "5 ['3PGTwjhnIwu8lr0cH8KFrs'] 2019-12-06 0.838815789473684 \\\\\n", "6 ['5BrkebliJMRAGRPg8NRDGi'] 2018-08-24 0.756578947368421 \\\\\n", "7 ['48V2wO7tr6P6Qql1nzILBz', '50GAVxGqL... 1978-01-01 0.5625 \\\\\n", "8 ['48V2wO7tr6P6Qql1nzILBz', '50GAVxGqL... 1978-01-01 0.5625 \\\\\n", "9 ['5TEGhxUxxjbQScbygeuvDj'] 1963-03-25 0.557017543859649 \\\\\n", "10 ['28MEXbuN5228Ig7tTlyEpV'] 1998 0.902412280701754 \\\\\n", "11 ['0c7soAA3Nv5aaDBMtCy7v4'] 1998-08-30 0.81359649122807 \\\\\n", "12 ['7v2laCPnrOb7G5W4oZj10b'] 1967-04-14 0.495614035087719 \\\\\n", "13 ['3PfkQWRO7rxkx0Z9Gs5MmB'] 1995-02-27 0.629385964912281 \\\\\n", "14 ['2P14f8iIJW2W9pGvYMcCtq'] 1960-09-07 0.244517543859649 \\\\\n", "15 ['32qNyW2sjyjjPDQamC2f9O'] 1995-08-31 0.544956140350877 \\\\\n", "16 ['45YERUZVQOedUFX24vFcvc', '53UpeT3ka... 2020-12-05 0.611842105263158 \\\\\n", "17 ['45YERUZVQOedUFX24vFcvc', '53UpeT3ka... 2020-12-05 0.611842105263158 \\\\\n", "18 ['6MYTh67wB2kwcyewyzhWEn'] 1967-03-06 0.385964912280702 \\\\\n", "19 ['6VDUKPL50LjK2upB0R3SXE'] 1969-06-11 0.287280701754386 \\\\\n", "20 ['1ckVZCWKKoeh5GhtidoU4D'] 2000 0.605263157894737 \\\\\n", "21 ['6okfEEQ3JSQMpjfChbWit2'] 2013-11-15 0.664473684210526 \\\\\n", "22 ['4qvXg7WxzF9JImuoRt3yGl'] 1987 0.339912280701754 \\\\\n", "23 ['3L6tyZ6cRzyo0VsnwSiOPy'] 1978-07-22 0.519736842105263 \\\\\n", "24 ['4SCH2LpYYD5iKpc1xtDJ4Y'] 2000-11-20 0.524122807017544 \\\\\n", "25 ['0wm6v5GU6VbR1wtsm0YiTV', '5K5oJ8X8B... 2010-09-24 0.854166666666667 \\\\\n", "26 ['3yCRvilOBzRkyxOsOi4tsR', '2v295z585... 2020-01-07 0.605263157894737 \\\\\n", "27 ['2uxD55T4gdYlDMGcGtxmMP'] 1994 0.540570175438596 \\\\\n", "28 ['3FQiN6DM4NiLN3T0wz8t2Q'] 1999-01-01 0.481359649122807 \\\\\n", "29 ['49kDJkXVeVB2KjvJmAwq0f'] 2006-06-26 0.658991228070175 \\\\\n", "30 ['5ON4u1xPXV7o5j6Spn0MKF'] 2008-04-18 0.518640350877193 \\\\\n", "31 ['1jWDblyJH2DelrPyt87yZV', '0ZXDvZqBz... 2014-11-07 0.706140350877193 \\\\\n", "32 ['1jWDblyJH2DelrPyt87yZV', '0ZXDvZqBz... 2014-11-07 0.706140350877193 \\\\\n", "33 ['6e14dV47cVGbpJqh1SNyFX'] 1995-05-08 0.583333333333333 \\\\\n", "34 ['2VqYqTrvIdzA2RABnDxrkB'] 2000-04-20 0.724780701754386 \\\\\n", "35 ['2v295z585SM68pluEKXKSM', '491v9k5NT... 1999-06-05 0.671052631578947 \\\\\n", "36 ['5ON4u1xPXV7o5j6Spn0MKF'] 1980 0.455043859649123 \\\\\n", "37 ['0krPyzj6zmF8YkpPD1elz3'] 1997-01-01 0.394736842105263 \\\\\n", "38 ['2MFdUyGa1eKDvMT6wCOlhT'] 1982 0.135964912280702 \\\\\n", "39 ['32ojq4MJxHtYDXaeb1LIzm'] 1976-02-12 0.523026315789474 \\\\\n", "40 ['0Hob9LUr2x0SULSZjuf6li'] 2016-01-03 0.789473684210526 \\\\\n", "41 ['7aD1kSF3KjJCUXNhqW8O2I'] 2000 0.662280701754386 \\\\\n", "42 ['7mlwqVTcj8bEk17NVEXfTK', '6xajh3A5q... 2017-10-27 0.633771929824561 \\\\\n", "43 ['4n44SROLP2vIR9HkYvwv8s'] 2016-10-21 0.416666666666667 \\\\\n", "44 ['2LKT9YGEiIoMAxtCjAJ6Sn'] 2015-03-06 0.589912280701754 \\\\\n", "45 ['1ZqkYyZttThOyOQx22221T'] 2007-06-10 0.407894736842105 \\\\\n", "46 ['2Lm3vSenofPiawS8U58tMD'] 2007-11-19 0.934210526315789 \\\\\n", "47 ['3O9bFJBTRddC4HOsZixhuw'] 2006 0.50219298245614 \\\\\n", "48 ['0GQZc3zcll9HXIVaUA1XzJ'] 2012-08-08 0.780701754385965 \\\\\n", "49 ['7sYIwdHZoqVUh6i58SJrmx'] 2002-03-12 0.775219298245614 \\\\\n", "50 ['55bqpWJMazkqj8A3iziuuF'] 2007-05-11 0.084429824561404 \\\\\n", "51 ['5Kuxl5ZenCl9fYzmtin6ot', '3cUZ9nX6H... 2013-12-13 0.607456140350877 \\\\\n", "52 ['2UTeT9IOjc4x9MeQWA0Hrx'] 1998 0.769736842105263 \\\\\n", "53 ['3dNEhgwAjiSzy46FCsxT3H'] 1969-09-06 0.642543859649123 \\\\\n", "54 ['7h53NTYbN0ZKVQaFDxIkEc'] 1967-10-16 0.413377192982456 \\\\\n", "55 ['10wjV72OetIdsUQEcjSnOd'] 1997-01-01 0.757675438596491 \\\\\n", "56 ['43CscN9BMaLKwgyP8XlSmW'] 1981 0.330043859649123 \\\\\n", "57 ['5qeq8REEH84JmnUZh9U9P3', '54DALKUBH... 2010-04-26 0.50109649122807 \\\\\n", "58 ['5qeq8REEH84JmnUZh9U9P3', '54DALKUBH... 2010-04-26 0.50109649122807 \\\\\n", "59 ['1e8yvNz0bQq8RdTC2i9Zwk'] 1965-10-12 0.541666666666667 \\\\\n", "60 ['7h53NTYbN0ZKVQaFDxIkEc'] 1967-10-16 0.296052631578947 \\\\\n", "61 ['2S4iMrlud8RZ6Jck35OR0p'] 1996-01-01 0.697368421052632 \\\\\n", "62 ['0x4xJCGDyTlKr47RF2WXzu', '4h753YBaE... 2020-01-27 0.765350877192982 \\\\\n", "63 ['2P14f8iIJW2W9pGvYMcCtq'] 1975-09-07 0.303728070175439 \\\\\n", "64 ['1BmEPjXHyBgwuCPsQTmChB'] 2014-04-16 0.6875 \\\\\n", "65 ['7MpxTazRiVFRsFJQdIJ3Mj', '50GAVxGqL... 1978-01-01 0.448464912280702 \\\\\n", "66 ['7MpxTazRiVFRsFJQdIJ3Mj', '50GAVxGqL... 1978-01-01 0.448464912280702 \\\\\n", "67 ['5bQZCiENsgmW4SvUOc86qI'] 1994 0.289473684210526 \\\\\n", "68 ['1ckVZCWKKoeh5GhtidoU4D'] 1995 0.565789473684211 \\\\\n", "69 ['3gm9b6AeMf2eGQTLashkDt', '0LX2VNf5w... 2018-10-24 0.710526315789474 \\\\\n", "70 ['0o7p9WUBNSwNwLXOi87H0y'] 1964-02-21 0.505482456140351 \\\\\n", "71 ['2P14f8iIJW2W9pGvYMcCtq'] 1969-09-07 0.288377192982456 \\\\\n", "72 ['1iPwHZTkXENxvhYejtnr5F'] 1974-08-16 0.271929824561404 \\\\\n", "73 ['6VKh8iOViFBI7R8Bb9AilZ'] 1999 0.660087719298246 \\\\\n", "74 ['454eECORMCJhObH01Bm1Pv'] 2000-12-31 0.424342105263158 \\\\\n", "75 ['0z300uEtGh3BdYBC3vpnPW'] 1966-09-28 0.462719298245614 \\\\\n", "76 ['4wck1fvaBpmJNFaeDT1Laa'] 1967-03-29 0.62719298245614 \\\\\n", "77 ['1efYxTvCNTpqYqfiEsxawq'] 2020-12-04 0.911184210526316 \\\\\n", "78 ['5ON4u1xPXV7o5j6Spn0MKF'] 1980 0.399122807017544 \\\\\n", "79 ['1ZqkYyZttThOyOQx22221T'] 2000 0.586622807017544 \\\\\n", "80 ['53l3yjX8ITilPIlCRsVKEB'] 2019-02-01 0.637061403508772 \\\\\n", "81 ['0MaSZtK5rLCLPbMNdWQIL9'] 2005-11-15 0.851973684210526 \\\\\n", "82 ['3eWzSwAoHCTIxba358ZDyj'] 1997-01-05 0.559210526315789 \\\\\n", "83 ['0qp4NhoMGGrzCtWu4CkEsE'] 1998-01-01 0.486842105263158 \\\\\n", "84 ['2Lm3vSenofPiawS8U58tMD'] 2005-04-29 0.950657894736842 \\\\\n", "85 ['7yaBUcdjmqPP2vIv6F5bFD', '0HC5DGqdU... 1946-01-01 0.226973684210526 \\\\\n", "86 ['7yaBUcdjmqPP2vIv6F5bFD', '0HC5DGqdU... 1946-01-01 0.226973684210526 \\\\\n", "87 ['7yaBUcdjmqPP2vIv6F5bFD', '0HC5DGqdU... 1946-01-01 0.226973684210526 \\\\\n", "88 ['7yaBUcdjmqPP2vIv6F5bFD', '0HC5DGqdU... 1946-01-01 0.226973684210526 \\\\\n", "89 ['7yaBUcdjmqPP2vIv6F5bFD', '0HC5DGqdU... 1946-01-01 0.226973684210526 \\\\\n", "90 ['3BroLrMp9Q01yOnhLn9qxX', '5gRK2Eipe... 2009-02-21 0.679824561403509 \\\\\n", "91 ['3BroLrMp9Q01yOnhLn9qxX', '5gRK2Eipe... 2009-02-21 0.679824561403509 \\\\\n", "92 ['6vIPbNGbwdrg7LSpz4V2QX'] 2010 0.389254385964912 \\\\\n", "93 ['3G54kKR2IdE4t5TXrs2Y8K'] 2011-05-31 0.471491228070175 \\\\\n", "94 ['4QgvuQGl8OtPaUpg492Jyz'] 2016-11-25 0.548245614035088 \\\\\n", "95 ['1ckVZCWKKoeh5GhtidoU4D'] 1990 0.591008771929825 \\\\\n", "96 ['2UTeT9IOjc4x9MeQWA0Hrx'] 1998 0.855263157894737 \\\\\n", "97 ['4wiuQi8pMd9fwJxreqT5H1'] 1988-12-31 0.628289473684211 \\\\\n", "98 ['0bRV6QPqD18yNy76IeBr10'] 1999 0.355263157894737 \\\\\n", "99 ['0ALBMwCtnRjOADA2ZV2g7s', '75LR4EwgI... 2003 0.235745614035088 \\\\\n", "100 ['1yq2JzsqbzFbJ1B7wGOXLc', '2FBmYj55z... 2019-10-25 0.879385964912281 \\\\\n", " energy key loudness mode \\\\\n", "1 0.599361388077236 6 0.797675055385458 1 \\\\\n", "2 0.886535931961723 9 0.925795932591542 0 \\\\\n", "3 0.672661184243556 1 0.904687227740024 1 \\\\\n", "4 0.102328523661777 11 0.460284270529958 0 \\\\\n", "5 0.692743320179534 6 0.876608667513006 0 \\\\\n", "6 0.79817453384342 1 0.865855176362233 1 \\\\\n", "7 0.674669397837154 7 0.840589450626042 0 \\\\\n", "8 0.674669397837154 7 0.840589450626042 0 \\\\\n", "9 0.601369601670834 2 0.832026485450427 0 \\\\\n", "10 0.505979455974937 1 0.825504692206208 1 \\\\\n", "11 0.924691990240082 6 0.835312274413163 0 \\\\\n", "12 0.415609844263036 10 0.821297886640281 1 \\\\\n", "13 0.627476378387605 0 0.69920095586588 1 \\\\\n", "14 0.293108815053569 0 0.727403977796032 1 \\\\\n", "15 0.686718679398741 2 0.856943718417843 1 \\\\\n", "16 0.458786436525389 7 0.754362382694845 0 \\\\\n", "17 0.458786436525389 7 0.754362382694845 0 \\\\\n", "18 0.242903475213624 4 0.739103377890623 0 \\\\\n", "19 0.549156048237291 3 0.821372563662161 1 \\\\\n", "20 0.533090339488508 2 0.804918726507854 0 \\\\\n", "21 0.978913757267223 5 0.935379483732855 0 \\\\\n", "22 0.969876796096033 2 0.947975008090011 1 \\\\\n", "23 0.235874727636031 5 0.677743758245588 0 \\\\\n", "24 0.665632436665964 5 0.862992557190153 1 \\\\\n", "25 0.702784388147523 0 0.843825454907525 1 \\\\\n", "26 0.710817242521915 1 0.911333482687377 0 \\\\\n", "27 0.796166320249822 4 0.744729046872277 1 \\\\\n", "28 0.820264883372996 7 0.85223906603938 1 \\\\\n", "29 0.653583155104377 4 0.906205660518259 0 \\\\\n", "30 0.872478436806539 1 0.748338436263162 1 \\\\\n", "31 0.771063650329849 1 0.903940457521221 0 \\\\\n", "32 0.771063650329849 1 0.903940457521221 0 \\\\\n", "33 0.870470223212941 1 0.880790580738307 0 \\\\\n", "34 0.77005954353305 9 0.880367410947651 0 \\\\\n", "35 0.436696086995813 0 0.771239389639808 0 \\\\\n", "36 0.85340040766736 10 0.862619172080751 1 \\\\\n", "37 0.958831621331245 2 0.891768102954721 1 \\\\\n", "38 0.199726882951271 0 0.608592835984368 1 \\\\\n", "39 0.486901426835758 5 0.794737759191497 1 \\\\\n", "40 0.928708417427278 11 0.957458989868817 1 \\\\\n", "41 0.910634495084897 7 0.923605406616384 0 \\\\\n", "42 0.882519504774528 0 0.904886366465039 1 \\\\\n", "43 0.425650912231025 6 0.866203669131008 0 \\\\\n", "44 0.763030795955458 2 0.819306499390138 1 \\\\\n", "45 0.785121145485034 11 0.772334652627387 0 \\\\\n", "46 0.690735106585936 7 0.873571801956538 1 \\\\\n", "47 0.993975359219207 2 0.905433997958828 1 \\\\\n", "48 0.70579670853792 0 0.901276977074154 1 \\\\\n", "49 0.952806980550451 10 0.919523062753591 1 \\\\\n", "50 0.91766324266249 7 0.897169740870734 1 \\\\\n", "51 0.763030795955458 0 0.803499863092127 0 \\\\\n", "52 0.454770009338193 10 0.752321210763448 1 \\\\\n", "53 0.5401190870661 2 0.785602270181465 0 \\\\\n", "54 0.332268980128726 5 0.634107485126826 0 \\\\\n", "55 0.735919912441887 0 0.776964627983969 1 \\\\\n", "56 0.138476368346537 10 0.526298757872203 0 \\\\\n", "57 0.957827514534446 10 0.886167326313693 0 \\\\\n", "58 0.957827514534446 10 0.886167326313693 0 \\\\\n", "59 0.187677601389684 0 0.651507231224952 0 \\\\\n", "60 0.438704300589411 9 0.693973564334254 0 \\\\\n", "61 0.940757698988864 5 0.865307544868444 0 \\\\\n", "62 0.68772278619554 0 0.808677469942499 0 \\\\\n", "63 0.289092387866373 10 0.664451248350882 1 \\\\\n", "64 0.931720737817674 3 0.918079306997237 1 \\\\\n", "65 0.547147834643693 5 0.807955592064322 1 \\\\\n", "66 0.547147834643693 5 0.807955592064322 1 \\\\\n", "67 0.244911688807222 2 0.671894058198292 0 \\\\\n", "68 0.616431203622817 7 0.900007467702188 0 \\\\\n", "69 0.808215601811409 0 0.828840265850198 1 \\\\\n", "70 0.207759737325662 0 0.707166504866453 1 \\\\\n", "71 0.38448253356227 0 0.798347148582381 1 \\\\\n", "72 0.428663232621422 9 0.811415627411445 0 \\\\\n", "73 0.298129349037564 1 0.748910960097578 0 \\\\\n", "74 0.573254611360464 2 0.805590819704777 0 \\\\\n", "75 0.362392184032694 9 0.757100540163792 1 \\\\\n", "76 0.302145776224759 7 0.677071665048665 0 \\\\\n", "77 0.900593427116908 7 0.783212605481293 1 \\\\\n", "78 0.82528541735699 4 0.881313319891469 1 \\\\\n", "79 0.80721149501461 2 0.853334329026958 1 \\\\\n", "80 0.381470213171873 4 0.752868842257237 1 \\\\\n", "81 0.697763854163529 9 0.881213750528962 0 \\\\\n", "82 0.596349067686839 7 0.814203569561646 1 \\\\\n", "83 0.924691990240082 4 0.865432006571578 0 \\\\\n", "84 0.70579670853792 7 0.871978692156423 1 \\\\\n", "85 0.191694028576879 6 0.599556916336843 1 \\\\\n", "86 0.191694028576879 6 0.599556916336843 1 \\\\\n", "87 0.191694028576879 6 0.599556916336843 1 \\\\\n", "88 0.191694028576879 6 0.599556916336843 1 \\\\\n", "89 0.191694028576879 6 0.599556916336843 1 \\\\\n", "90 0.869466116416142 9 0.966967863988251 0 \\\\\n", "91 0.869466116416142 9 0.966967863988251 0 \\\\\n", "92 0.50397124238134 5 0.812535782739651 1 \\\\\n", "93 0.881515397977729 6 0.912503422696836 0 \\\\\n", "94 0.792149893062626 4 0.870659398103204 1 \\\\\n", "95 0.394523601530259 1 0.671918950538919 0 \\\\\n", "96 0.541123193862899 10 0.728474348442984 0 \\\\\n", "97 0.297125242240765 10 0.761879869564135 1 \\\\\n", "98 0.769055436736251 0 0.876185497722351 1 \\\\\n", "99 0.339297727706319 8 0.693625071565479 0 \\\\\n", "100 0.615427096826018 3 0.903119010280537 0 \\\\\n", " speechiness acousticness instrumentalness \\\\\n", "1 0.002405160161802 0.177889447236181 0.00151484135107472 \\\\\n", "2 0.023614299770417 0.164824120603015 0.0 \\\\\n", "3 0.098064939324369 0.198994974874372 0.0 \\\\\n", "4 0.025910134470318 0.512562814070352 0.708290685772774 \\\\\n", "5 0.04307423198863 0.17286432160804 0.00101944728761515 \\\\\n", "6 0.337487700885536 0.569849246231156 0.0 \\\\\n", "7 0.078058379796655 0.632160804020101 0.0 \\\\\n", "8 0.078058379796655 0.632160804020101 0.0 \\\\\n", "9 0.006668853175905 0.511557788944724 9.71340839303992e-06 \\\\\n", "10 0.381217885645567 0.052160804020101 0.0 \\\\\n", "11 0.010604569804307 0.315577889447236 0.000427840327533265 \\\\\n", "12 0.016180168361211 0.787939698492462 0.0 \\\\\n", "13 0.012791079042309 0.014874371859296 0.00065813715455476 \\\\\n", "14 0.012244451732809 0.689447236180905 6.86796315250768e-06 \\\\\n", "15 0.002951787471302 0.062412060301508 6.01842374616172e-05 \\\\\n", "16 0.038154586203127 0.117587939698492 3.57215967246674e-05 \\\\\n", "17 0.038154586203127 0.117587939698492 3.57215967246674e-05 \\\\\n", "18 0.009074013337706 0.961809045226131 0.000517911975435005 \\\\\n", "19 0.038154586203127 0.535678391959799 0.00208802456499488 \\\\\n", "20 0.005903574942604 0.422110552763819 2.55885363357216e-06 \\\\\n", "21 0.133049087132393 0.001206030150754 3.87922210849539e-06 \\\\\n", "22 0.149447906417405 0.001206030150754 0.000334698055271238 \\\\\n", "23 0.049961736088335 0.532663316582915 0.0008014329580348 \\\\\n", "24 0.033125614955723 0.22713567839196 2.97850562947799e-05 \\\\\n", "25 0.411829014977588 0.223115577889447 0.0 \\\\\n", "26 0.177872526511425 0.037286432160804 0.0 \\\\\n", "27 0.083743303815459 0.008341708542714 0.0 \\\\\n", "28 0.024160927079917 0.006532663316583 1.40225179119754e-06 \\\\\n", "29 0.030173827484421 0.029346733668342 0.0 \\\\\n", "30 0.01486826281841 0.000201005025126 0.163766632548618 \\\\\n", "31 0.047337925002733 0.02894472361809 0.0 \\\\\n", "32 0.047337925002733 0.02894472361809 0.0 \\\\\n", "33 0.046572646769433 0.120603015075377 7.05220061412487e-05 \\\\\n", "34 0.165846725702416 0.178894472361809 0.0 \\\\\n", "35 0.01421231004701 0.299497487437186 0.0 \\\\\n", "36 0.034546845960424 0.000100502512563 0.00331627430910952 \\\\\n", "37 0.026456761779819 0.001005025125628 0.0206755373592631 \\\\\n", "38 0.015961517437411 0.78894472361809 0.410440122824974 \\\\\n", "39 0.030611129332021 0.733668341708543 0.0277379733879222 \\\\\n", "40 0.079260959877555 0.125628140703518 0.0 \\\\\n", "41 0.126489559418389 0.079597989949749 0.00030603889457523 \\\\\n", "42 0.108997485514376 0.087638190954774 0.0 \\\\\n", "43 0.011588498961408 0.826130653266332 0.00408393039918117 \\\\\n", "44 0.017820050289712 0.539698492462312 0.0 \\\\\n", "45 0.040559746364928 0.833165829145729 0.0509723643807574 \\\\\n", "46 0.188805072701432 0.109547738693467 0.0 \\\\\n", "47 0.088225647753362 0.001206030150754 1.19754350051177e-06 \\\\\n", "48 0.022849021537116 0.194974874371859 1.69907881269191e-06 \\\\\n", "49 0.02908057286542 0.152763819095477 0.0 \\\\\n", "50 0.038045260741227 0.002311557788945 7.93244626407369e-05 \\\\\n", "51 0.050727014321636 0.014974874371859 1.45342886386899e-06 \\\\\n", "52 0.01399365912321 0.301507537688442 0.814738996929376 \\\\\n", "53 0.008527386028206 0.072663316582915 0.0 \\\\\n", "54 0.01388433366131 0.765829145728643 0.000541453428863869 \\\\\n", "55 0.013228380889909 0.008844221105528 0.0224155578300921 \\\\\n", "56 0.009511315185307 0.355778894472362 8.86386898669396e-06 \\\\\n", "57 0.292664261506505 0.013969849246231 7.21596724667349e-06 \\\\\n", "58 0.292664261506505 0.013969849246231 7.21596724667349e-06 \\\\\n", "59 0.027550016398819 0.97286432160804 8.84339815762538e-06 \\\\\n", "60 0.025363507160818 0.879396984924623 5.03582395087001e-05 \\\\\n", "61 0.007652782333005 0.509547738693467 5.496417604913e-06 \\\\\n", "62 0.036733355198426 0.301507537688442 0.0269191402251791 \\\\\n", "63 0.07149885208265 0.934673366834171 0.0 \\\\\n", "64 0.017492073904012 0.014773869346734 0.00118730808597748 \\\\\n", "65 0.318902372362523 0.784924623115578 1.31013306038895e-06 \\\\\n", "66 0.318902372362523 0.784924623115578 1.31013306038895e-06 \\\\\n", "67 0.017273422980212 0.660301507537688 0.0 \\\\\n", "68 0.005138296709304 0.055175879396985 6.16171954964176e-06 \\\\\n", "69 0.21394992893845 0.299497487437186 0.000127942681678608 \\\\\n", "70 0.011588498961408 0.739698492462312 0.0 \\\\\n", "71 0.008746036952006 0.717587939698492 8.08597748208802e-06 \\\\\n", "72 0.009511315185307 0.436180904522613 0.0 \\\\\n", "73 0.004591669399803 0.412060301507538 0.0 \\\\\n", "74 0.007652782333005 0.080301507537688 0.000113613101330604 \\\\\n", "75 0.015742866513611 0.882412060301508 0.0 \\\\\n", "76 0.004263693014103 0.777889447236181 0.00222108495394063 \\\\\n", "77 0.289384497649503 0.185929648241206 0.0 \\\\\n", "78 0.021974417841915 0.000502512562814 4.4114636642784e-05 \\\\\n", "79 0.022849021537116 0.2 8.20880245649949e-05 \\\\\n", "80 0.007215480485405 0.94070351758794 0.447287615148414 \\\\\n", "81 0.295944025363507 0.077989949748744 0.0 \\\\\n", "82 0.004154367552203 0.015778894472362 0.000338792221084954 \\\\\n", "83 0.019897234065814 0.014170854271357 0.0179119754350051 \\\\\n", "84 0.037607958893626 0.01356783919598 0.0 \\\\\n", "85 0.059910353121242 0.995979899497487 0.9007164790174 \\\\\n", "86 0.059910353121242 0.995979899497487 0.9007164790174 \\\\\n", "87 0.059910353121242 0.995979899497487 0.9007164790174 \\\\\n", "88 0.059910353121242 0.995979899497487 0.9007164790174 \\\\\n", "89 0.059910353121242 0.995979899497487 0.9007164790174 \\\\\n", "90 0.426041325024598 0.349748743718593 0.0 \\\\\n", "91 0.426041325024598 0.349748743718593 0.0 \\\\\n", "92 0.006450202252105 0.625125628140704 1.8014329580348e-05 \\\\\n", "93 0.023395648846616 0.300502512562814 0.0 \\\\\n", "94 0.007652782333005 0.005427135678392 0.0 \\\\\n", "95 0.002733136547502 0.671356783919598 3.85875127942682e-05 \\\\\n", "96 0.204110637367443 0.095577889447236 1.22824974411464e-05 \\\\\n", "97 0.010057942494807 0.893467336683417 0.0 \\\\\n", "98 0.106810976276375 0.124623115577889 0.0 \\\\\n", "99 0.011588498961408 0.986934673366834 0.0 \\\\\n", "100 0.223789220509457 0.240201005025126 0.0 \\\\\n", " liveness valence tempo time_signature \\\\\n", "1 0.061291989664083 0.365659943567771 140.056 4 \\\\\n", "2 0.069457364341085 0.74187480405476 119.981 4 \\\\\n", "3 0.099741602067183 0.120075242972097 120.061 5 \\\\\n", "4 0.055090439276486 0.001881074302435 114.592 3 \\\\\n", "5 0.07297157622739 0.596614066255617 123.985 4 \\\\\n", "6 0.078449612403101 0.726199184867802 112.343 4 \\\\\n", "7 0.208268733850129 0.937297523252168 98.842 4 \\\\\n", "8 0.208268733850129 0.937297523252168 98.842 4 \\\\\n", "9 0.145219638242894 0.782631413940851 102.428 4 \\\\\n", "10 0.197932816537468 0.359389695892988 93.05 4 \\\\\n", "11 0.216537467700258 0.989549587208695 130.103 4 \\\\\n", "12 0.070387596899225 0.52241613543735 135.15 4 \\\\\n", "13 0.037622739018088 0.746054969171282 126.63 4 \\\\\n", "14 0.631007751937984 0.405371512174731 112.214 3 \\\\\n", "15 0.205167958656331 0.36461490228864 112.029 4 \\\\\n", "16 0.136950904392765 0.247570279026022 144.046 4 \\\\\n", "17 0.136950904392765 0.247570279026022 144.046 4 \\\\\n", "18 0.147286821705426 0.287281847632982 132.1 4 \\\\\n", "19 0.207235142118863 0.185912843557321 140.603 3 \\\\\n", "20 0.095607235142119 0.342669035426899 96.07 4 \\\\\n", "21 0.093540051679587 0.186957884836451 110.043 4 \\\\\n", "22 0.056020671834625 0.435677709269516 119.504 4 \\\\\n", "23 0.196899224806202 0.300867384261678 123.09 4 \\\\\n", "24 0.076072351421189 0.320723168565158 112.771 4 \\\\\n", "25 0.048682170542636 0.452398369735605 90.017 4 \\\\\n", "26 0.01922480620155 0.750235134287804 103.811 4 \\\\\n", "27 0.198966408268734 0.143066151112969 93.824 4 \\\\\n", "28 0.044341085271318 0.923711986623472 184.254 4 \\\\\n", "29 0.06687338501292 0.495245062179956 125.991 4 \\\\\n", "30 0.046925064599483 0.876685129062598 155.975 4 \\\\\n", "31 0.293023255813953 0.525551259274741 100.031 4 \\\\\n", "32 0.293023255813953 0.525551259274741 100.031 4 \\\\\n", "33 0.309560723514212 0.60183927265127 91.57 4 \\\\\n", "34 0.07328165374677 0.620650015675619 131.909 4 \\\\\n", "35 0.170025839793282 0.197408297627756 105.421 4 \\\\\n", "36 0.306459948320413 0.493154979621695 112.037 4 \\\\\n", "37 0.097674418604651 0.590343818580834 166.193 4 \\\\\n", "38 0.198966408268734 0.011495454070436 135.568 4 \\\\\n", "39 0.112144702842377 0.818162817431289 147.668 4 \\\\\n", "40 0.190697674418605 0.982234298254781 133.933 4 \\\\\n", "41 0.102842377260982 0.84010868429303 168.032 4 \\\\\n", "42 0.300258397932817 0.638415717420838 79.994 4 \\\\\n", "43 0.101808785529716 0.476434319155607 99.842 4 \\\\\n", "44 0.318863049095607 0.684397533702581 106.972 4 \\\\\n", "45 0.979328165374677 0.337443829031247 108.142 4 \\\\\n", "46 0.248578811369509 0.730379349984324 92.971 4 \\\\\n", "47 0.325064599483204 0.398056223220817 146.553 4 \\\\\n", "48 0.164857881136951 0.729334308705194 95.008 4 \\\\\n", "49 0.357105943152455 0.849514055805204 99.986 4 \\\\\n", "50 0.11421188630491 0.38447068659212 166.21 4 \\\\\n", "51 0.110077519379845 0.335353746472986 133.992 4 \\\\\n", "52 0.055917312661499 0.471209112759954 147.901 4 \\\\\n", "53 0.11937984496124 0.804577280802592 94.858 4 \\\\\n", "54 0.09250645994832 0.326993416239941 79.078 3 \\\\\n", "55 0.089405684754522 0.863099592433901 129.879 4 \\\\\n", "56 0.21343669250646 0.069077228550528 97.964 4 \\\\\n", "57 0.363307493540052 0.664541749399101 84.011 4 \\\\\n", "58 0.363307493540052 0.664541749399101 84.011 4 \\\\\n", "59 0.11937984496124 0.282056641237329 67.152 4 \\\\\n", "60 0.509043927648579 0.339533911589508 101.975 4 \\\\\n", "61 0.243410852713178 0.985369422092173 137.921 4 \\\\\n", "62 0.108010335917313 0.46389382380604 125.018 4 \\\\\n", "63 0.096640826873385 0.402236388337339 178.159 4 \\\\\n", "64 0.325064599483204 0.970738844184345 153.068 4 \\\\\n", "65 0.090439276485788 0.736649597659108 92.544 4 \\\\\n", "66 0.090439276485788 0.736649597659108 92.544 4 \\\\\n", "67 0.094573643410853 0.584073570906051 124.354 4 \\\\\n", "68 0.083204134366925 0.120075242972097 119.804 4 \\\\\n", "69 0.103875968992248 0.925802069181733 169.848 4 \\\\\n", "70 0.177260981912145 0.540181837182569 82.018 4 \\\\\n", "71 0.374677002583979 0.36356986100951 119.002 4 \\\\\n", "72 0.126614987080103 0.295642177866026 83.695 4 \\\\\n", "73 0.359173126614987 0.545407043578221 103.037 4 \\\\\n", "74 0.284754521963824 0.554812415090396 201.077 4 \\\\\n", "75 0.302325581395349 0.353119448218205 117.999 4 \\\\\n", "76 0.089405684754522 0.389695892987773 104.859 4 \\\\\n", "77 0.064392764857881 0.895495872086947 154.912 4 \\\\\n", "78 0.121447028423773 0.409551677291253 195.99 4 \\\\\n", "79 0.005064599483204 0.717838854634758 120.172 4 \\\\\n", "80 0.094573643410853 0.215173999372975 112.996 4 \\\\\n", "81 0.142118863049096 0.537046713345177 90.011 4 \\\\\n", "82 0.1328165374677 0.188002926115582 140.843 4 \\\\\n", "83 0.140051679586563 0.639460758699969 139.08 4 \\\\\n", "84 0.062015503875969 0.750235134287804 99.024 4 \\\\\n", "85 0.180361757105943 0.329083498798203 79.244 1 \\\\\n", "86 0.180361757105943 0.329083498798203 79.244 1 \\\\\n", "87 0.180361757105943 0.329083498798203 79.244 1 \\\\\n", "88 0.180361757105943 0.329083498798203 79.244 1 \\\\\n", "89 0.180361757105943 0.329083498798203 79.244 1 \\\\\n", "90 0.192764857881137 0.823388023826941 173.874 4 \\\\\n", "91 0.192764857881137 0.823388023826941 173.874 4 \\\\\n", "92 0.108010335917313 0.367750026126032 156.074 4 \\\\\n", "93 0.086304909560724 0.614379768000836 160.015 4 \\\\\n", "94 0.07266149870801 0.599749190093009 129.992 4 \\\\\n", "95 0.103875968992248 0.336398787752116 102.03 4 \\\\\n", "96 0.093540051679587 0.679172327306929 80.988 4 \\\\\n", "97 0.07328165374677 0.585118612185181 116.335 3 \\\\\n", "98 0.054470284237726 0.74082976277563 119.973 4 \\\\\n", "99 0.212403100775194 0.251750444142544 91.165 4 \\\\\n", "100 0.066356589147287 0.399101264499948 114.959 4 \\\\\n", " duration_minute release_year artists_followers \\\\\n", "1 0.16825584838614155 0.892857142857143 0.054260076228204 \\\\\n", "2 0.13709357417826473 0.761904761904762 0.471264367816092 \\\\\n", "3 0.12185667752442997 0.952380952380952 0.754219061052589 \\\\\n", "4 0.273349126443589 0.654761904761905 0.116863239398577 \\\\\n", "5 0.13043677820550784 0.976190476190476 0.234066604643718 \\\\\n", "6 0.11935889843055966 0.964285714285714 0.281444134329702 \\\\\n", "7 0.049079804560260586 0.488095238095238 4.0014805478e-05 \\\\\n", "8 0.049079804560260586 0.488095238095238 0.050598721526965 \\\\\n", "9 0.2181026058631922 0.30952380952381 0.006952572451807 \\\\\n", "10 0.15655907610305003 0.726190476190476 0.412122485319568 \\\\\n", "11 0.13327361563517914 0.726190476190476 0.079889559136881 \\\\\n", "12 0.11814184187148356 0.357142857142857 0.13709072356772 \\\\\n", "13 0.10551747112822031 0.69047619047619 0.011314186248912 \\\\\n", "14 0.08186556114894877 0.273809523809524 0.1218750937847 \\\\\n", "15 0.1115383476458395 0.69047619047619 0.167031801766654 \\\\\n", "16 0.1012037311222979 0.988095238095238 0.088432720106439 \\\\\n", "17 0.1012037311222979 0.988095238095238 0.009493512599662 \\\\\n", "18 0.12476532425229493 0.357142857142857 0.016446085051469 \\\\\n", "19 0.3158720758069292 0.380952380952381 0.871872592859358 \\\\\n", "20 0.12826917382291975 0.75 0.772325760531397 \\\\\n", "21 0.11864524726088244 0.904761904761905 0.296119564238768 \\\\\n", "22 0.14881033461652354 0.595238095238095 0.236367455958705 \\\\\n", "23 0.13168492745039975 0.488095238095238 0.118823964867001 \\\\\n", "24 0.13829508439443292 0.75 0.133279313345938 \\\\\n", "25 0.1646231862599941 0.869047619047619 0.106139271530466 \\\\\n", "26 0.12670787681374002 0.988095238095238 0.500745275752028 \\\\\n", "27 0.1389102753923601 0.678571428571429 0.48124806178286 \\\\\n", "28 0.053735564110156946 0.738095238095238 0.933645448816062 \\\\\n", "29 0.11267915309446254 0.821428571428571 0.554095015155608 \\\\\n", "30 0.16598534201954399 0.845238095238095 0.57676340245891 \\\\\n", "31 0.14641693811074918 0.916666666666667 0.15878875183818 \\\\\n", "32 0.14641693811074918 0.916666666666667 0.655912687694447 \\\\\n", "33 0.1745491560556707 0.69047619047619 0.524113922151196 \\\\\n", "34 0.08454249333728162 0.75 0.008092994407931 \\\\\n", "35 0.1468063369854901 0.738095238095238 0.500745275752028 \\\\\n", "36 0.12886141545750665 0.511904761904762 0.57676340245891 \\\\\n", "37 0.12568329878590465 0.714285714285714 0.134369716795214 \\\\\n", "38 0.3539213799230086 0.535714285714286 0.092204115522743 \\\\\n", "39 0.12702546639028722 0.464285714285714 0.38044076308234 \\\\\n", "40 0.13650133254367783 0.94047619047619 0.107039604653722 \\\\\n", "41 0.14748741486526504 0.75 0.196562728209437 \\\\\n", "42 0.1364917086171158 0.952380952380952 0.45162710202775 \\\\\n", "43 0.14871187444477346 0.94047619047619 0.061802867060813 \\\\\n", "44 0.19502517026946994 0.928571428571429 0.324580094635015 \\\\\n", "45 0.3327901984009476 0.833333333333333 0.448856076748397 \\\\\n", "46 0.1436334024281907 0.833333333333333 0.204745755929694 \\\\\n", "47 0.111923304708321 0.821428571428571 0.428858677710753 \\\\\n", "48 0.14033165531536868 0.892857142857143 0.11214149235217 \\\\\n", "49 0.1340405685519692 0.773809523809524 0.515640787091224 \\\\\n", "50 0.21580248741486527 0.833333333333333 0.344017286395967 \\\\\n", "51 0.2535482676932188 0.904761904761905 0.031331592689295 \\\\\n", "52 0.03422120225051821 0.726190476190476 0.706461390714564 \\\\\n", "53 0.07848090020728457 0.380952380952381 0.071516461090604 \\\\\n", "54 0.06504737933076696 0.357142857142857 0.108510148755039 \\\\\n", "55 0.16183002665087357 0.714285714285714 0.319238118103698 \\\\\n", "56 0.1831403612673971 0.523809523809524 0.209407480767884 \\\\\n", "57 0.21421824104234527 0.869047619047619 0.100137050708762 \\\\\n", "58 0.21421824104234527 0.869047619047619 0.07381731240559 \\\\\n", "59 0.06777169084986674 0.333333333333333 0.031211548272861 \\\\\n", "60 0.12464687592537756 0.357142857142857 0.108510148755039 \\\\\n", "61 0.1788865857269766 0.702380952380952 0.128327481168032 \\\\\n", "62 0.1343596387326029 0.988095238095238 0.402879065254144 \\\\\n", "63 0.10011844832691738 0.452380952380952 0.1218750937847 \\\\\n", "64 0.18186704175303522 0.916666666666667 0.030641337294799 \\\\\n", "65 0.09234675747705064 0.488095238095238 0.050598721526965 \\\\\n", "66 0.09234675747705064 0.488095238095238 0.0 \\\\\n", "67 0.10048341723423157 0.678571428571429 0.362624170943249 \\\\\n", "68 0.17577731714539532 0.69047619047619 0.772325760531397 \\\\\n", "69 0.12350681077879774 0.964285714285714 0.74934725848564 \\\\\n", "70 0.09023837725792123 0.321428571428571 0.030581315086582 \\\\\n", "71 0.16263621557595498 0.380952380952381 0.1218750937847 \\\\\n", "72 0.13391767841279242 0.44047619047619 0.129657973450177 \\\\\n", "73 0.1798238081137104 0.738095238095238 0.61224653121655 \\\\\n", "74 0.1490472312703583 0.75 0.150115542750818 \\\\\n", "75 0.12637622149837133 0.345238095238095 0.15351680121645 \\\\\n", "76 0.11837651761918863 0.357142857142857 0.693636645558857 \\\\\n", "77 0.11084468463132958 0.988095238095238 0.277082520532597 \\\\\n", "78 0.16085282795380515 0.511904761904762 0.57676340245891 \\\\\n", "79 0.11963281018655611 0.75 0.448856076748397 \\\\\n", "80 0.1383646727864969 0.976190476190476 0.901893700669248 \\\\\n", "81 0.17425673674859343 0.80952380952381 0.809619559236918 \\\\\n", "82 0.19431448030796564 0.714285714285714 0.005081880295709 \\\\\n", "83 0.09295232454841575 0.726190476190476 0.291177735762232 \\\\\n", "84 0.19896061593129996 0.80952380952381 0.204745755929694 \\\\\n", "85 0.14742819070180632 0.107142857142857 0.01804667727059 \\\\\n", "86 0.14742819070180632 0.107142857142857 0.000110040715065 \\\\\n", "87 0.14742819070180632 0.107142857142857 0.0 \\\\\n", "88 0.14742819070180632 0.107142857142857 0.026709882656583 \\\\\n", "89 0.14742819070180632 0.107142857142857 0.44250372637876 \\\\\n", "90 0.19414791234823808 0.857142857142857 0.522553344737553 \\\\\n", "91 0.19414791234823808 0.857142857142857 0.229124776167182 \\\\\n", "92 0.14541456914421083 0.869047619047619 0.38512249532327 \\\\\n", "93 0.12021468759253776 0.880952380952381 0.36705581064994 \\\\\n", "94 0.12555818774059815 0.94047619047619 0.367315906885548 \\\\\n", "95 0.2071461356233343 0.630952380952381 0.772325760531397 \\\\\n", "96 0.2109860823215872 0.726190476190476 0.706461390714564 \\\\\n", "97 0.11571365116967723 0.607142857142857 0.295509338455228 \\\\\n", "98 0.15379478827361565 0.738095238095238 0.357312205516041 \\\\\n", "99 0.09724607639917086 0.785714285714286 0.030951452037254 \\\\\n", "100 0.1437962688777021 0.976190476190476 0.350179566439583 \\\\\n", " artist_popularity nb_singers \n", "1 0.5 0.0 \n", "2 0.611111111111111 0.0 \n", "3 0.819444444444444 0.222222222222222 \n", "4 0.555555555555556 0.0 \n", "5 0.75 0.0 \n", "6 0.597222222222222 0.0 \n", "7 0.055555555555556 0.111111111111111 \n", "8 0.583333333333333 0.111111111111111 \n", "9 0.125 0.0 \n", "10 0.513888888888889 0.0 \n", "11 0.375 0.0 \n", "12 0.486111111111111 0.0 \n", "13 0.388888888888889 0.0 \n", "14 0.472222222222222 0.0 \n", "15 0.527777777777778 0.0 \n", "16 0.638888888888889 0.111111111111111 \n", "17 0.875 0.111111111111111 \n", "18 0.208333333333333 0.0 \n", "19 0.583333333333333 0.0 \n", "20 0.736111111111111 0.0 \n", "21 0.583333333333333 0.0 \n", "22 0.527777777777778 0.0 \n", "23 0.333333333333333 0.0 \n", "24 0.541666666666667 0.0 \n", "25 0.611111111111111 0.222222222222222 \n", "26 0.763888888888889 0.111111111111111 \n", "27 0.583333333333333 0.0 \n", "28 0.652777777777778 0.0 \n", "29 0.611111111111111 0.0 \n", "30 0.583333333333333 0.0 \n", "31 0.625 0.222222222222222 \n", "32 0.694444444444444 0.222222222222222 \n", "33 0.652777777777778 0.0 \n", "34 0.333333333333333 0.0 \n", "35 0.763888888888889 0.111111111111111 \n", "36 0.583333333333333 0.0 \n", "37 0.430555555555556 0.0 \n", "38 0.402777777777778 0.0 \n", "39 0.583333333333333 0.0 \n", "40 0.583333333333333 0.0 \n", "41 0.583333333333333 0.0 \n", "42 0.652777777777778 0.111111111111111 \n", "43 0.5 0.0 \n", "44 0.555555555555556 0.0 \n", "45 0.597222222222222 0.0 \n", "46 0.486111111111111 0.0 \n", "47 0.597222222222222 0.0 \n", "48 0.444444444444444 0.0 \n", "49 0.680555555555556 0.0 \n", "50 0.555555555555556 0.0 \n", "51 0.597222222222222 0.111111111111111 \n", "52 0.638888888888889 0.0 \n", "53 0.402777777777778 0.0 \n", "54 0.486111111111111 0.0 \n", "55 0.652777777777778 0.0 \n", "56 0.583333333333333 0.0 \n", "57 0.708333333333333 0.222222222222222 \n", "58 0.541666666666667 0.222222222222222 \n", "59 0.430555555555556 0.0 \n", "60 0.486111111111111 0.0 \n", "61 0.5 0.0 \n", "62 0.861111111111111 0.111111111111111 \n", "63 0.472222222222222 0.0 \n", "64 0.513888888888889 0.0 \n", "65 0.583333333333333 0.111111111111111 \n", "66 0.013888888888889 0.111111111111111 \n", "67 0.75 0.0 \n", "68 0.736111111111111 0.0 \n", "69 0.902777777777778 0.222222222222222 \n", "70 0.430555555555556 0.0 \n", "71 0.472222222222222 0.0 \n", "72 0.5 0.0 \n", "73 0.625 0.0 \n", "74 0.555555555555556 0.0 \n", "75 0.486111111111111 0.0 \n", "76 0.638888888888889 0.0 \n", "77 0.75 0.0 \n", "78 0.583333333333333 0.0 \n", "79 0.597222222222222 0.0 \n", "80 0.847222222222222 0.0 \n", "81 0.638888888888889 0.0 \n", "82 0.166666666666667 0.0 \n", "83 0.555555555555556 0.0 \n", "84 0.486111111111111 0.0 \n", "85 0.402777777777778 0.444444444444444 \n", "86 0.111111111111111 0.444444444444444 \n", "87 0.069444444444444 0.444444444444444 \n", "88 0.652777777777778 0.444444444444444 \n", "89 0.597222222222222 0.444444444444444 \n", "90 0.694444444444444 0.222222222222222 \n", "91 0.513888888888889 0.222222222222222 \n", "92 0.583333333333333 0.0 \n", "93 0.680555555555556 0.0 \n", "94 0.625 0.0 \n", "95 0.736111111111111 0.0 \n", "96 0.638888888888889 0.0 \n", "97 0.597222222222222 0.0 \n", "98 0.652777777777778 0.0 \n", "99 0.541666666666667 0.111111111111111 \n", "100 0.680555555555556 0.111111111111111 \n", "Rows: 1-100 | Columns: 25" ] }, "execution_count": 28, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# define predictors and response\n", "predictors = ['duration_minute', \n", " 'release_year', \n", " 'danceability', \n", " 'energy', \n", " 'loudness',\n", " 'speechiness', \n", " 'acousticness', \n", " 'instrumentalness', \n", " 'liveness', \n", " 'valence', \n", " 'artists_followers', \n", " 'artist_popularity', \n", " 'nb_singers']\n", "response = 'popularity'\n", "\n", "# normalize the features\n", "polish_tracks.normalize(method = \"minmax\",\n", " columns = predictors)\n", "\n", "# save the final dataset to the database\n", "polish_tracks.to_db('\"spotify\".\"polish_tracks_data_final\"', relation_type = \"table\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Machine Learning" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can use AutoML to easily get a well-performing model." ] }, { "cell_type": "code", "execution_count": 29, "metadata": {}, "outputs": [], "source": [ "# define a random seed so models tested by AutoML produce consistent results\n", "vp.set_option(\"random_state\", 2)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "AutoML automatically tests several machine learning models and picks the best performing one." ] }, { "cell_type": "code", "execution_count": 30, "metadata": {}, "outputs": [], "source": [ "from verticapy.learn.delphi import AutoML\n", "# define the model\n", "auto_model = AutoML('spotify.automl_spotify_polish',\n", " estimator = \"native\",\n", " preprocess_data = False,\n", " stepwise = False,\n", " cv = 2)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Train the model." ] }, { "cell_type": "code", "execution_count": 31, "metadata": { "scrolled": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[1m\u001b[4mStarting AutoML\u001b[0m\u001b[0m\n", "\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "b378a82e3256491fa517b7d4cbb1d543" } }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "\u001b[1m\u001b[4mTesting Model - LinearRegression\u001b[0m\u001b[0m\n", "\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "ebd599c6455a47009cf1b02e80df33d4" } }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Model: LinearRegression; Parameters: {'tol': 1e-06, 'max_iter': 100, 'solver': 'newton'}; \u001b[91mTest_score: 8.066647640522543\u001b[0m; \u001b[92mTrain_score: 8.118985304784605\u001b[0m; \u001b[94mTime: 0.20426690578460693\u001b[0m;\n", "Model: LinearRegression; Parameters: {'tol': 1e-06, 'max_iter': 100, 'solver': 'bfgs'}; \u001b[91mTest_score: 8.06657408402635\u001b[0m; \u001b[92mTrain_score: 8.118986556025963\u001b[0m; \u001b[94mTime: 0.7867480516433716\u001b[0m;\n", "\n", "\u001b[1mGrid Search Selected Model\u001b[0m\n", "LinearRegression; Parameters: {'solver': 'bfgs', 'penalty': 'none', 'max_iter': 100, 'tol': 1e-06}; \u001b[91mTest_score: 8.06657408402635\u001b[0m; \u001b[92mTrain_score: 8.118986556025963\u001b[0m; \u001b[94mTime: 0.7867480516433716\u001b[0m;\n", "\n", "\u001b[1m\u001b[4mTesting Model - ElasticNet\u001b[0m\u001b[0m\n", "\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "8aa49278ccf8428ab340e93a95a5aac6" } }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Model: ElasticNet; Parameters: {'tol': 1e-06, 'max_iter': 100, 'solver': 'cgd', 'C': 1.0, 'l1_ratio': 0.5}; \u001b[91mTest_score: 14.822426878049042\u001b[0m; \u001b[92mTrain_score: 15.035727014744669\u001b[0m; \u001b[94mTime: 0.27442634105682373\u001b[0m;\n", "\n", "\u001b[1mGrid Search Selected Model\u001b[0m\n", "ElasticNet; Parameters: {'solver': 'cgd', 'penalty': 'enet', 'max_iter': 100, 'l1_ratio': 0.5, 'C': 1.0, 'tol': 1e-06}; \u001b[91mTest_score: 14.822426878049042\u001b[0m; \u001b[92mTrain_score: 15.035727014744669\u001b[0m; \u001b[94mTime: 0.27442634105682373\u001b[0m;\n", "\n", "\u001b[1m\u001b[4mTesting Model - Ridge\u001b[0m\u001b[0m\n", "\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "9f3cd6dc46684ac690a23ddf55e3775a" } }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Model: Ridge; Parameters: {'tol': 1e-06, 'max_iter': 100, 'C': 1.0}; \u001b[91mTest_score: 8.064233984706952\u001b[0m; \u001b[92mTrain_score: 8.121069572782197\u001b[0m; \u001b[94mTime: 0.20085954666137695\u001b[0m;\n", "\n", "\u001b[1mGrid Search Selected Model\u001b[0m\n", "Ridge; Parameters: {'solver': 'newton', 'penalty': 'l2', 'max_iter': 100, 'C': 1.0, 'tol': 1e-06}; \u001b[91mTest_score: 8.064233984706952\u001b[0m; \u001b[92mTrain_score: 8.121069572782197\u001b[0m; \u001b[94mTime: 0.20085954666137695\u001b[0m;\n", "\n", "\u001b[1m\u001b[4mTesting Model - Lasso\u001b[0m\u001b[0m\n", "\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "cffc183a74a14056b1996ea13841ef88" } }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Model: Lasso; Parameters: {'tol': 1e-06, 'max_iter': 100, 'solver': 'cgd', 'C': 1.0}; \u001b[91mTest_score: 9.76754307664328\u001b[0m; \u001b[92mTrain_score: 10.121086467655486\u001b[0m; \u001b[94mTime: 0.2544424533843994\u001b[0m;\n", "\n", "\u001b[1mGrid Search Selected Model\u001b[0m\n", "Lasso; Parameters: {'solver': 'cgd', 'penalty': 'l1', 'max_iter': 100, 'C': 1.0, 'tol': 1e-06}; \u001b[91mTest_score: 9.76754307664328\u001b[0m; \u001b[92mTrain_score: 10.121086467655486\u001b[0m; \u001b[94mTime: 0.2544424533843994\u001b[0m;\n", "\n", "\u001b[1m\u001b[4mTesting Model - LinearSVR\u001b[0m\u001b[0m\n", "\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "a22b1b34f50e4d6088f083d7028602c0" } }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Model: LinearSVR; Parameters: {'tol': 1e-06, 'fit_intercept': True, 'intercept_mode': 'regularized', 'max_iter': 100}; \u001b[91mTest_score: 8.06441805263914\u001b[0m; \u001b[92mTrain_score: 8.120720846232265\u001b[0m; \u001b[94mTime: 2.197774648666382\u001b[0m;\n", "Model: LinearSVR; Parameters: {'tol': 1e-06, 'fit_intercept': True, 'intercept_mode': 'unregularized', 'max_iter': 100}; \u001b[91mTest_score: 8.065481552212296\u001b[0m; \u001b[92mTrain_score: 8.119616043007014\u001b[0m; \u001b[94mTime: 2.323397994041443\u001b[0m;\n", "Model: LinearSVR; Parameters: {'tol': 1e-06, 'C': 1.0, 'fit_intercept': True, 'intercept_mode': 'regularized', 'max_iter': 100}; \u001b[91mTest_score: 8.06441805263914\u001b[0m; \u001b[92mTrain_score: 8.120720846232265\u001b[0m; \u001b[94mTime: 2.182707905769348\u001b[0m;\n", "Model: LinearSVR; Parameters: {'tol': 1e-06, 'C': 1.0, 'fit_intercept': True, 'intercept_mode': 'unregularized', 'max_iter': 100}; \u001b[91mTest_score: 8.065481552212296\u001b[0m; \u001b[92mTrain_score: 8.119616043007014\u001b[0m; \u001b[94mTime: 2.6499600410461426\u001b[0m;\n", "\n", "\u001b[1mGrid Search Selected Model\u001b[0m\n", "LinearSVR; Parameters: {'tol': 1e-06, 'C': 1.0, 'max_iter': 100, 'fit_intercept': True, 'intercept_scaling': 1.0, 'intercept_mode': 'regularized', 'acceptable_error_margin': 0.1}; \u001b[91mTest_score: 8.06441805263914\u001b[0m; \u001b[92mTrain_score: 8.120720846232265\u001b[0m; \u001b[94mTime: 2.197774648666382\u001b[0m;\n", "\n", "\u001b[1m\u001b[4mTesting Model - RandomForestRegressor\u001b[0m\u001b[0m\n", "\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "b94b65eae9ca46f4becd5ae4f60e0936" } }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Model: RandomForestRegressor; Parameters: {'max_features': 'max', 'max_leaf_nodes': 128, 'max_depth': 5, 'min_samples_leaf': 1, 'min_info_gain': 0.0, 'nbins': 32}; \u001b[91mTest_score: 7.113663323363556\u001b[0m; \u001b[92mTrain_score: 6.39265180458105\u001b[0m; \u001b[94mTime: 0.42195308208465576\u001b[0m;\n", "Model: RandomForestRegressor; Parameters: {'max_features': 'max', 'max_leaf_nodes': 1000, 'max_depth': 5, 'min_samples_leaf': 1, 'min_info_gain': 0.0, 'nbins': 32}; \u001b[91mTest_score: 7.113663323363556\u001b[0m; \u001b[92mTrain_score: 6.39265180458105\u001b[0m; \u001b[94mTime: 0.3885120153427124\u001b[0m;\n", "Model: RandomForestRegressor; Parameters: {'max_features': 'max', 'max_leaf_nodes': 128, 'max_depth': 5, 'min_samples_leaf': 2, 'min_info_gain': 0.0, 'nbins': 32}; \u001b[91mTest_score: 7.181553675673483\u001b[0m; \u001b[92mTrain_score: 6.5483753528126805\u001b[0m; \u001b[94mTime: 0.40996646881103516\u001b[0m;\n", "Model: RandomForestRegressor; Parameters: {'max_features': 'max', 'max_leaf_nodes': 64, 'max_depth': 4, 'min_samples_leaf': 1, 'min_info_gain': 0.0, 'nbins': 32}; \u001b[91mTest_score: 7.266855044387853\u001b[0m; \u001b[92mTrain_score: 6.809449561850816\u001b[0m; \u001b[94mTime: 0.3967854976654053\u001b[0m;\n", "Model: RandomForestRegressor; Parameters: {'max_features': 'max', 'max_leaf_nodes': 64, 'max_depth': 6, 'min_samples_leaf': 2, 'min_info_gain': 0.0, 'nbins': 32}; \u001b[91mTest_score: 7.064327407880318\u001b[0m; \u001b[92mTrain_score: 6.210967309985071\u001b[0m; \u001b[94mTime: 0.4239314794540405\u001b[0m;\n", "\n", "\u001b[1mGrid Search Selected Model\u001b[0m\n", "RandomForestRegressor; Parameters: {'n_estimators': 10, 'max_features': 'max', 'max_leaf_nodes': 64, 'sample': 0.632, 'max_depth': 6, 'min_samples_leaf': 2, 'min_info_gain': 0.0, 'nbins': 32}; \u001b[91mTest_score: 7.064327407880318\u001b[0m; \u001b[92mTrain_score: 6.210967309985071\u001b[0m; \u001b[94mTime: 0.4239314794540405\u001b[0m;\n", "\n", "\u001b[1m\u001b[4mFinal Model\u001b[0m\u001b[0m\n", "\n", "RandomForestRegressor; Best_Parameters: {'n_estimators': 10, 'max_features': 'max', 'max_leaf_nodes': 64, 'sample': 0.632, 'max_depth': 6, 'min_samples_leaf': 2, 'min_info_gain': 0.0, 'nbins': 32}; \u001b[91mBest_Test_score: 7.064327407880318\u001b[0m; \u001b[92mTrain_score: 6.210967309985071\u001b[0m; \u001b[94mTime: 0.4239314794540405\u001b[0m;\n", "\n", "\n", "CPU times: user 1.51 s, sys: 113 ms, total: 1.62 s\n", "Wall time: 33.3 s\n" ] }, { "data": { "text/html": [ "
model_type
avg_score
avg_train_score
avg_time
score_std
score_train_std
1RandomForestRegressor7.0643274078803186.2109673099850710.42393147945404050.0219516103164192450.05495843581963396\" readonly>
2RandomForestRegressor7.1136633233635566.392651804581050.421953082084655760.044207457734251670.05405953173125159\" readonly>
3RandomForestRegressor7.1136633233635566.392651804581050.38851201534271240.044207457734251670.05405953173125159\" readonly>
4RandomForestRegressor7.1815536756734836.54837535281268050.409966468811035160.04573450961884770.05011685394254436\" readonly>
5RandomForestRegressor7.2668550443878536.8094495618508160.39678549766540530.059548933686773640.20818778505776214\" readonly>
6Ridge8.0642339847069528.1210695727821970.200859546661376950.152169055640503480.1513846089750132\" readonly>
7LinearSVR8.064418052639148.1207208462322652.1977746486663820.150185425016993420.1512890154897334\" readonly>
8LinearSVR8.064418052639148.1207208462322652.1827079057693480.150185425016993420.1512890154897334\" readonly>
9LinearSVR8.0654815522122968.1196160430070142.3233979940414430.148137505283755740.15105738388572493\" readonly>
10LinearSVR8.0654815522122968.1196160430070142.64996004104614260.148137505283755740.15105738388572493\" readonly>
11LinearRegression8.066574084026358.1189865560259630.78674805164337160.14514036956105970.15092076870560675\" readonly>
12LinearRegression8.0666476405225438.1189853047846050.204266905784606930.145235539275220230.15092178039328827\" readonly>
13Lasso9.7675430766432810.1210864676554860.25444245338439940.19183445513892240.22492932355164136\" readonly>
14ElasticNet14.82242687804904215.0357270147446690.274426341056823730.008989002316723210.08108192620896942\" readonly>
Rows: 1-14 | Columns: 8
" ], "text/plain": [ " model_type parameters \\\\\n", "1 RandomForestRegressor {'n_estimators': 10, 'max_features': ... \\\\\n", "2 RandomForestRegressor {'n_estimators': 10, 'max_features': ... \\\\\n", "3 RandomForestRegressor {'n_estimators': 10, 'max_features': ... \\\\\n", "4 RandomForestRegressor {'n_estimators': 10, 'max_features': ... \\\\\n", "5 RandomForestRegressor {'n_estimators': 10, 'max_features': ... \\\\\n", "6 Ridge {'solver': 'newton', 'penalty': 'l2',... \\\\\n", "7 LinearSVR {'tol': 1e-06, 'C': 1.0, 'max_iter': ... \\\\\n", "8 LinearSVR {'tol': 1e-06, 'C': 1.0, 'max_iter': ... \\\\\n", "9 LinearSVR {'tol': 1e-06, 'C': 1.0, 'max_iter': ... \\\\\n", "10 LinearSVR {'tol': 1e-06, 'C': 1.0, 'max_iter': ... \\\\\n", "11 LinearRegression {'solver': 'bfgs', 'penalty': 'none',... \\\\\n", "12 LinearRegression {'solver': 'newton', 'penalty': 'none... \\\\\n", "13 Lasso {'solver': 'cgd', 'penalty': 'l1', 'm... \\\\\n", "14 ElasticNet {'solver': 'cgd', 'penalty': 'enet', ... \\\\\n", " avg_score avg_train_score avg_time \\\\\n", "1 7.064327407880318 6.210967309985071 0.4239314794540405 \\\\\n", "2 7.113663323363556 6.39265180458105 0.42195308208465576 \\\\\n", "3 7.113663323363556 6.39265180458105 0.3885120153427124 \\\\\n", "4 7.181553675673483 6.5483753528126805 0.40996646881103516 \\\\\n", "5 7.266855044387853 6.809449561850816 0.3967854976654053 \\\\\n", "6 8.064233984706952 8.121069572782197 0.20085954666137695 \\\\\n", "7 8.06441805263914 8.120720846232265 2.197774648666382 \\\\\n", "8 8.06441805263914 8.120720846232265 2.182707905769348 \\\\\n", "9 8.065481552212296 8.119616043007014 2.323397994041443 \\\\\n", "10 8.065481552212296 8.119616043007014 2.6499600410461426 \\\\\n", "11 8.06657408402635 8.118986556025963 0.7867480516433716 \\\\\n", "12 8.066647640522543 8.118985304784605 0.20426690578460693 \\\\\n", "13 9.76754307664328 10.121086467655486 0.2544424533843994 \\\\\n", "14 14.822426878049042 15.035727014744669 0.27442634105682373 \\\\\n", " score_std score_train_std model_class \n", "1 0.021951610316419245 0.05495843581963396 \n", "8 0.15018542501699342 0.1512890154897334 \n", "9 0.14813750528375574 0.15105738388572493 \n", "10 0.14813750528375574 0.15105738388572493 \n", "11 0.1451403695610597 0.15092076870560675 " ] }, "execution_count": 32, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# visualize the performance of different models\n", "auto_model.plot()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Extract the best model according to AutoML. From here, we can look at the model type and its hyperparameters." ] }, { "cell_type": "code", "execution_count": 33, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "RandomForestRegressor\n", "{'n_estimators': 10, 'max_features': 'max', 'max_leaf_nodes': 64, 'sample': 0.632, 'max_depth': 6, 'min_samples_leaf': 2, 'min_info_gain': 0.0, 'nbins': 32}\n" ] } ], "source": [ "# extract the model type and hyperparameters\n", "best_model = auto_model.best_model_\n", "bm_type = best_model.type\n", "hyperparams = best_model.get_params()\n", "\n", "print(bm_type)\n", "print(hyperparams)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Thanks to AutoML, we know best model type and its hyperparameters. Let's create a new model with this information in mind." ] }, { "cell_type": "code", "execution_count": 47, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
Abc
id
Varchar(44)
Abc
Varchar(96)
123
popularity
Int
123
duration_ms
Int
123
explicit
Int
Abc
Varchar(100)
Abc
Varchar(156)
Abc
release_date
Varchar(20)
123
danceability
Float
123
energy
Float
123
key
Int
123
loudness
Float
123
mode
Int
123
speechiness
Float
123
acousticness
Float
123
instrumentalness
Float
123
liveness
Float
123
valence
Float
123
tempo
Numeric(9,4)
123
time_signature
Int
123
duration_minute
Float
123
release_year
Float
123
artists_followers
Float
123
artist_popularity
Float
123
nb_singers
Float
123
estimated_popularity
Float
10004Uy71ku11n3LMpuyf593425890702012-01-010.6173245614035090.59936138807723660.79767505538545810.0024051601618020.1778894472361810.001514841351074720.0612919896640830.365659943567771140.05640.168255848386141550.8928571428571430.0542600762282040.50.040.4301647912923
2008UO76dicJJrUb5g6WID042216813020010.6765350877192980.88653593196172390.92579593259154200.0236142997704170.1648241206030150.00.0694573643410850.74187480405476119.98140.137093574178264730.7619047619047620.4712643678160920.6111111111111110.034.869262824777
300D7fT49Q54HNiaaLY32UA4119623102017-06-070.5274122807017540.67266118424355610.90468722774002410.0980649393243690.1989949748743720.00.0997416020671830.120075242972097120.06150.121856677524429970.9523809523809520.7542190610525890.8194444444444440.22222222222222245.0804559629553
400De7REGurYkmfrKAh6CU13640086701992-10-300.1732456140350880.102328523661777110.46028427052995800.0259101344703180.5125628140703520.7082906857727740.0550904392764860.001881074302435114.59230.2733491264435890.6547619047619050.1168632393985770.5555555555555560.030.6638002980626
500KCwnrvIXX8GRU3ZMOIBW5520782102019-12-060.8388157894736840.69274332017953460.87660866751300600.043074231988630.172864321608040.001019447287615150.072971576227390.596614066255617123.98540.130436778205507840.9761904761904760.2340666046437180.750.052.0762280321545
600g7zzRDf2DOf4fKYzFTUA4619285702018-08-240.7565789473684210.7981745338434210.86585517636223310.3374877008855360.5698492462311560.00.0784496124031010.726199184867802112.34340.119358898430559660.9642857142857140.2814441343297020.5972222222222220.045.0804559629553
700i4Q7OfN0mGnUyuyQcAdZ29792401978-01-010.56250.67466939783715470.84058945062604200.0780583797966550.6321608040201010.00.2082687338501290.93729752325216898.84240.0490798045602605860.4880952380952384.0014805478e-050.0555555555555560.1111111111111112.86773809523809
800i4Q7OfN0mGnUyuyQcAdZ29792401978-01-010.56250.67466939783715470.84058945062604200.0780583797966550.6321608040201010.00.2082687338501290.93729752325216898.84240.0490798045602605860.4880952380952380.0505987215269650.5833333333333330.11111111111111110.6410158019808
900l8ILQ8qgsew789dGn1Gh732624001963-03-250.5570175438596490.60136960167083420.83202648545042700.0066688531759050.5115577889447249.71340839303992e-060.1452196382428940.782631413940851102.42840.21810260586319220.309523809523810.0069525724518070.1250.07.30127856572452
1000vlVv7WLZjyRS783REKmn24243107019980.9024122807017540.50597945597493710.82550469220620810.3812178856455670.0521608040201010.00.1979328165374680.35938969589298893.0540.156559076103050030.7261904761904760.4121224853195680.5138888888888890.024.9533724588221
1100wJpDUdKoWQ2ibqTpJh1Y3221165301998-08-300.813596491228070.92469199024008260.83531227441316300.0106045698043070.3155778894472360.0004278403275332650.2165374677002580.989549587208695130.10340.133273615635179140.7261904761904760.0798895591368810.3750.024.9533724588221
12010cqDI9IKD8f3Ji8TnT9h1419121301967-04-140.4956140350877190.415609844263036100.82129788664028110.0161801683612110.7879396984924620.00.0703875968992250.52241613543735135.1540.118141841871483560.3571428571428570.137090723567720.4861111111111110.013.4855833789985
130123TtFcZ7pZIss52i7nAK2317416001995-02-270.6293859649122810.62747637838760500.6992009558658810.0127910790423090.0148743718592960.000658137154554760.0376227390180880.746054969171282126.6340.105517471128220310.690476190476190.0113141862489120.3888888888888890.023.1748101052984
14015JvDPIBquLQTX6VZPwB2114221101960-09-070.2445175438596490.29310881505356900.72740397779603210.0122444517328090.6894472361809056.86796315250768e-060.6310077519379840.405371512174731112.21430.081865561148948770.2738095238095240.12187509378470.4722222222222220.03.61489291707544
1501FN979nyz1gmdsfWZv5OL4518229301995-08-310.5449561403508770.68671867939874120.85694371841784310.0029517874713020.0624120603015086.01842374616172e-050.2051679586563310.36461490228864112.02940.11153834764583950.690476190476190.1670318017666540.5277777777777780.024.4145764534479
1601LN8YM6L9V2a135AnhZqf5716833302020-12-050.6118421052631580.45878643652538970.75436238269484500.0381545862031270.1175879396984923.57215967246674e-050.1369509043927650.247570279026022144.04640.10120373112229790.9880952380952380.0884327201064390.6388888888888890.11111111111111152.3733282506672
1701LN8YM6L9V2a135AnhZqf5716833302020-12-050.6118421052631580.45878643652538970.75436238269484500.0381545862031270.1175879396984923.57215967246674e-050.1369509043927650.247570279026022144.04640.10120373112229790.9880952380952380.0094935125996620.8750.11111111111111155.4733496073336
1801j7wulLc7rJVk0STUPEKu520016001967-03-060.3859649122807020.24290347521362440.73910337789062300.0090740133377060.9618090452261310.0005179119754350050.1472868217054260.287281847632982132.140.124765324252294930.3571428571428570.0164460850514690.2083333333333330.011.5052223490586
1901lYEV7KZT34GOAW2MIgHF3545830701969-06-110.2872807017543860.54915604823729130.82137256366216110.0381545862031270.5356783919597990.002088024564994880.2072351421188630.185912843557321140.60330.31587207580692920.3809523809523810.8718725928593580.5833333333333330.014.9059819728965
2001uK4bh8p175iZj7uSkp5k45204893020000.6052631578947370.53309033948850820.80491872650785400.0059035749426040.4221105527638192.55885363357216e-060.0956072351421190.34266903542689996.0740.128269173822919750.750.7723257605313970.7361111111111110.034.389324210261
21025zlWO2FRZZrFhRw5kqa94019189302013-11-150.6644736842105260.97891375726722350.93537948373285500.1330490871323930.0012060301507543.87922210849539e-060.0935400516795870.186957884836451110.04340.118645247260882440.9047619047619050.2961195642387680.5833333333333330.040.4301647912923
22028DQ7NS44vnLRaoon0mwg18232640019870.3399122807017540.96987679609603320.94797500809001110.1494479064174050.0012060301507540.0003346980552712380.0560206718346250.435677709269516119.50440.148810334616523540.5952380952380950.2363674559587050.5277777777777780.018.5862492866963
2302GvdetV646M4C1Ip8CKg5920950701978-07-220.5197368421052630.23587472763603150.67774375824558800.0499617360883350.5326633165829150.00080143295803480.1968992248062020.300867384261678123.0940.131684927450399750.4880952380952380.1188239648670010.3333333333333330.011.7498709352586
2402IpFuItRz1yXbYAtHsXJs4021843602000-11-200.5241228070175440.66563243666596450.86299255719015310.0331256149557230.227135678391962.97850562947799e-050.0760723514211890.320723168565158112.77140.138295084394432920.750.1332793133459380.5416666666666670.034.09439364668
2502JLJi7sryFu44hhNWOv1c3025400012010-09-240.8541666666666670.70278438814752300.84382545490752510.4118290149775880.2231155778894470.00.0486821705426360.45239836973560590.01740.16462318625999410.8690476190476190.1061392715304660.6111111111111110.22222222222222235.0806689337132
2602RqhFaAYzWScfVzKfTZ7L5320278402020-01-070.6052631578947370.71081724252191510.91133348268737700.1778725265114250.0372864321608040.00.019224806201550.750235134287804103.81140.126707876813740020.9880952380952380.5007452757520280.7638888888888890.11111111111111152.7615971869234
2702hewGMWcG5Vp8nwhcmTA019219267019940.5405701754385960.79616632024982240.74472904687227710.0837433038154590.0083417085427140.00.1989664082687340.14306615111296993.82440.13891027539236010.6785714285714290.481248061782860.5833333333333330.021.3180307423213
2802yg6Eksd8zZpYxsT1Lpsp2910421301999-01-010.4813596491228070.82026488337299670.8522390660393810.0241609270799170.0065326633165831.40225179119754e-060.0443410852713180.923711986623472184.25440.0537355641101569460.7380952380952380.9336454488160620.6527777777777780.025.7209218589767
2903UV1fQG0MIm4CPszfttTJ3518383402006-06-260.6589912280701750.65358315510437740.90620566051825900.0301738274844210.0293467336683420.00.066873385012920.495245062179956125.99140.112679153094462540.8214285714285710.5540950151556080.6111111111111110.035.0794305188842
3004GlMx0s7MvdMr2MEXX8s83425584002008-04-180.5186403508771930.87247843680653910.74833843626316210.014868262818410.0002010050251260.1637666325486180.0469250645994830.876685129062598155.97540.165985342019543990.8452380952380950.576763402458910.5833333333333330.035.0806689337132
3104PxH7CFGAaAvo6j0zZAOr4222940702014-11-070.7061403508771930.77106365032984910.90394045752122100.0473379250027330.028944723618090.00.2930232558139530.525551259274741100.03140.146416938110749180.9166666666666670.158788751838180.6250.22222222222222240.8800274671513
3204PxH7CFGAaAvo6j0zZAOr4222940702014-11-070.7061403508771930.77106365032984910.90394045752122100.0473379250027330.028944723618090.00.2930232558139530.525551259274741100.03140.146416938110749180.9166666666666670.6559126876944470.6944444444444440.22222222222222240.8800274671513
3304QM4iqGabg7QlphUoWiMB2626740801995-05-080.5833333333333330.87047022321294110.88079058073830700.0465726467694330.1206030150753777.05220061412487e-050.3095607235142120.6018392726512791.5740.17454915605567070.690476190476190.5241139221511960.6527777777777780.025.4977094719485
3404izaHyfYxsE3AQ68kgB4I2414582702000-04-200.7247807017543860.7700595435330590.88036741094765100.1658467257024160.1788944723618090.00.073281653746770.620650015675619131.90940.084542493337281620.750.0080929944079310.3333333333333330.034.4777416980164
3504kSSveBKXiNeRaOXu2iog4322993301999-06-050.6710526315789470.43669608699581300.77123938963980800.014212310047010.2994974874371860.00.1700258397932820.197408297627756105.42140.14680633698549010.7380952380952380.5007452757520280.7638888888888890.11111111111111133.8012231517393
3604wTGEh2gJTG72yUoizwFV10205693019800.4550438596491230.85340040766736100.86261917208075110.0345468459604240.0001005025125630.003316274309109520.3064599483204130.493154979621695112.03740.128861415457506650.5119047619047620.576763402458910.5833333333333330.014.610474284499
37053zfKbxSoqRm2RCdJdQMS2820140001997-01-010.3947368421052630.95883162133124520.89176810295472110.0264567617798190.0010050251256280.02067553735926310.0976744186046510.590343818580834166.19340.125683298785904650.7142857142857140.1343697167952140.4305555555555560.024.4145764534479
38053zgCcuWJ9x4dJJgaF4VS10509704019820.1359649122807020.19972688295127100.60859283598436810.0159615174374110.788944723618090.4104401228249740.1989664082687340.011495454070436135.56840.35392137992300860.5357142857142860.0922041155227430.4027777777777780.011.773544254012
39054VUAvYt59A1yGSrBAgac2220321301976-02-120.5230263157894740.48690142683575850.79473775919149710.0306111293320210.7336683417085430.02773797338792220.1121447028423770.818162817431289147.66840.127025466390287220.4642857142857140.380440763082340.5833333333333330.021.6044790501583
4005IAxc7j9T9KcEu0lAgbfB4621601302016-01-030.7894736842105260.928708417427278110.95745898986881710.0792609598775550.1256281407035180.00.1906976744186050.982234298254781133.93340.136501332543677830.940476190476190.1070396046537220.5833333333333330.045.0804559629553
4105JJTD8KdxbZsMnOn6imMv42230853020000.6622807017543860.91063449508489770.92360540661638400.1264895594183890.0795979899497490.000306038894575230.1028423772609820.84010868429303168.03240.147487414865265040.750.1965627282094370.5833333333333330.034.869262824777
4205RcrI18Qi65dwc3vegSNP4321600002017-10-270.6337719298245610.88251950477452800.90488636646503910.1089974855143760.0876381909547740.00.3002583979328170.63841571742083879.99440.13649170861711580.9523809523809520.451627102027750.6527777777777780.11111111111111145.0804559629553
4305hJSmfNiPXSzwSLeG1Rfb3923250702016-10-210.4166666666666670.42565091223102560.86620366913100800.0115884989614080.8261306532663320.004083930399181170.1018087855297160.47643431915560799.84240.148711874444773460.940476190476190.0618028670608130.50.045.0804559629553
4405hk8ivnCt0HP3aI1uWJfi4329506702015-03-060.5899122807017540.76303079595545820.81930649939013810.0178200502897120.5396984924623120.00.3188630490956070.684397533702581106.97240.195025170269469940.9285714285714290.3245800946350150.5555555555555560.040.8800274671513
4505v1D17vjtCNRyalBVGbKU3448116002007-06-100.4078947368421050.785121145485034110.77233465262738700.0405597463649280.8331658291457290.05097236438075740.9793281653746770.337443829031247108.14240.33279019840094760.8333333333333330.4488560767483970.5972222222222220.033.6127140914514
4605yf5sbF36dhwGRfj18sg52722564702007-11-190.9342105263157890.69073510658593670.87357180195653810.1888050727014320.1095477386934670.00.2485788113695090.73037934998432492.97140.14363340242819070.8333333333333330.2047457559296940.4861111111111110.034.6960824675478
47062pHiX7lpKRDmFvmJor3o38182813020060.502192982456140.99397535921920720.90543399795882810.0882256477533620.0012060301507541.19754350051177e-060.3250645994832040.398056223220817146.55340.1119233047083210.8214285714285710.4288586777107530.5972222222222220.035.0794305188842
48063FiQaY2FuZe3a44rZuSX3722118702012-08-080.7807017543859650.7057967085379200.90127697707415410.0228490215371160.1949748743718591.69907881269191e-060.1648578811369510.72933430870519495.00840.140331655315368680.8928571428571430.112141492352170.4444444444444440.040.4301647912923
49063ZobFSzYA0O7fmfi4oik4221268902002-03-120.7752192982456140.952806980550451100.91952306275359110.029080572865420.1527638190954770.00.3571059431524550.84951405580520499.98640.13404056855196920.7738095238095240.5156407870912240.6805555555555560.034.869262824777
5006AIE9kwssJ3cmPbMuHobb3032313302007-05-110.0844298245614040.9176632426624970.89716974087073410.0380452607412270.0023115577889457.93244626407369e-050.114211886304910.38447068659212166.2140.215802487414865270.8333333333333330.3440172863959670.5555555555555560.035.0794305188842
5106K6svVGbiQILn9BAzZNgo3737412012013-12-130.6074561403508770.76303079595545800.80349986309212700.0507270143216360.0149748743718591.45342886386899e-060.1100775193798450.335353746472986133.99240.25354826769321880.9047619047619050.0313315926892950.5972222222222220.11111111111111140.4301647912923
5206LDaZRAWOc0fNqkdOQo9S1877853019980.7697368421052630.454770009338193100.75232121076344810.013993659123210.3015075376884420.8147389969293760.0559173126614990.471209112759954147.90140.034221202250518210.7261904761904760.7064613907145640.6388888888888890.022.8083311858699
5306SnvuakcuOcj3odFZpIpJ1813763901969-09-060.6425438596491230.540119087066120.78560227018146500.0085273860282060.0726633165829150.00.119379844961240.80457728080259294.85840.078480900207284570.3809523809523810.0715164610906040.4027777777777780.012.3261274758088
5406V1fPvTfXdIBMUItnLmQ71411949301967-10-160.4133771929824560.33226898012872650.63410748512682600.013884333661310.7658291457286430.0005414534288638690.092506459948320.32699341623994179.07830.065047379330766960.3571428571428570.1085101487550390.4861111111111110.013.2248451239649
5506kPUkFJv1RfEVjgEF3oRz2325022701997-01-010.7576754385964910.73591991244188700.77696462798396910.0132283808899090.0088442211055280.02241555783009210.0894056847545220.863099592433901129.87940.161830026650873570.7142857142857140.3192381181036980.6527777777777780.024.7301600717939
5607Iyx8PziAv997SrJanQgl11279013019810.3300438596491230.138476368346537100.52629875787220300.0095113151853070.3557788944723628.86386898669396e-060.213436692506460.06907722855052897.96440.18314036126739710.5238095238095240.2094074807678840.5833333333333330.012.780501473184
5707QfWWYlJsbXiEbbKSvqcd3432099312010-04-260.501096491228070.957827514534446100.88616732631369300.2926642615065050.0139698492462317.21596724667349e-060.3633074935400520.66454174939910184.01140.214218241042345270.8690476190476190.1001370507087620.7083333333333330.22222222222222235.0794305188842
5807QfWWYlJsbXiEbbKSvqcd3432099312010-04-260.501096491228070.957827514534446100.88616732631369300.2926642615065050.0139698492462317.21596724667349e-060.3633074935400520.66454174939910184.01140.214218241042345270.8690476190476190.073817312405590.5416666666666670.22222222222222235.0794305188842
5907rj0QlIw4hRcvhIJGY2Lf612317301965-10-120.5416666666666670.18767760138968400.65150723122495200.0275500163988190.972864321608048.84339815762538e-060.119379844961240.28205664123732967.15240.067771690849866740.3333333333333330.0312115482728610.4305555555555560.08.58681052013858
600804d5chEAcksTIZ7IVh6O2920000001967-10-160.2960526315789470.43870430058941190.69397356433425400.0253635071608180.8793969849246235.03582395087001e-050.5090439276485790.339533911589508101.97540.124646875925377560.3571428571428570.1085101487550390.4861111111111110.013.190075690601
6108D5BLpRFI6PT2XYuq7eDg2827326701996-01-010.6973684210526320.94075769898886450.86530754486844400.0076527823330050.5095477386934675.496417604913e-060.2434108527131780.985369422092173137.92140.17888658572697660.7023809523809520.1283274811680320.50.024.4145764534479
6208D6EqghkRLD6iFHKKWJ4Y5521312012020-01-270.7653508771929820.6877227861955400.80867746994249900.0367333551984260.3015075376884420.02691914022517910.1080103359173130.46389382380604125.01840.13435963873260290.9880952380952380.4028790652541440.8611111111111110.11111111111111155.9854708194548
6308ER472xnuMlbtkKSh3PB41116686701975-09-070.3037280701754390.289092387866373100.66445124835088210.071498852082650.9346733668341710.00.0966408268733850.402236388337339178.15940.100118448326917380.4523809523809520.12187509378470.4722222222222220.011.6068359628288
6408ULDx4KeBpXe7OHEWjgVP4527729302014-04-160.68750.93172073781767430.91807930699723710.0174920739040120.0147738693467340.001187308085977480.3250645994832040.970738844184345153.06840.181867041753035220.9166666666666670.0306413372947990.5138888888888890.040.8800274671513
6508uPk6Ge77W31WGGYNEPHA215636901978-01-010.4484649122807020.54714783464369350.80795559206432210.3189023723625230.7849246231155781.31013306038895e-060.0904392764857880.73664959765910892.54440.092346757477050640.4880952380952380.0505987215269650.5833333333333330.11111111111111110.4222738664969
6608uPk6Ge77W31WGGYNEPHA215636901978-01-010.4484649122807020.54714783464369350.80795559206432210.3189023723625230.7849246231155781.31013306038895e-060.0904392764857880.73664959765910892.54440.092346757477050640.4880952380952380.00.0138888888888890.1111111111111112.86773809523809
6708xY8SSfwHc7SIXWroGW9j16167360019940.2894736842105260.24491168880722220.67189405819829200.0172734229802120.6603015075376880.00.0945736434108530.584073570906051124.35440.100483417234231570.6785714285714290.3626241709432490.750.022.0225455927807
68095PNli2gmoYwlvgotxxEs28269067019950.5657894736842110.61643120362281770.90000746770218800.0051382967093040.0551758793969856.16171954964176e-060.0832041343669250.120075242972097119.80440.175777317145395320.690476190476190.7723257605313970.7361111111111110.025.4977094719485
6909FEC2H0Ls5bXMSFj2bLzL5019846002018-10-240.7105263157894740.80821560181140900.82884026585019810.213949928938450.2994974874371860.0001279426816786080.1038759689922480.925802069181733169.84840.123506810778797740.9642857142857140.749347258485640.9027777777777780.22222222222222245.0804559629553
7009GKW7x0iMuxzzM7IeQ01g715352101964-02-210.5054824561403510.20775973732566200.70716650486645310.0115884989614080.7396984924623120.00.1772609819121450.54018183718256982.01840.090238377257921230.3214285714285710.0305813150865820.4305555555555560.05.49629465913261
7109PwmLzRfWj5hkmIiw1a9X2125131601969-09-070.2883771929824560.3844825335622700.79834714858238110.0087460369520060.7175879396984928.08597748208802e-060.3746770025839790.36356986100951119.00240.162636215575954980.3809523809523810.12187509378470.4722222222222220.013.190075690601
7209d4etyrEWf5BguIIUfRW91221252301974-08-160.2719298245614040.42866323262142290.81141562741144500.0095113151853070.4361809045226130.00.1266149870801030.29564217786602683.69540.133917678412792420.440476190476190.1296579734501770.50.013.7043253144824
730ADOK8ffxUlSDu51nIu5KU23274533019990.6600877192982460.29812934903756410.74891096009757800.0045916693998030.4120603015075380.00.3591731266149870.545407043578221103.03740.17982380811371040.7380952380952380.612246531216550.6250.025.7209218589767
740AGuYcLlnbR7AOQSbTGzIz2923296002000-12-310.4243421052631580.57325461136046420.80559081970477700.0076527823330050.0803015075376880.0001136131013306040.2847545219638240.554812415090396201.07740.14904723127035830.750.1501155427508180.5555555555555560.034.09439364668
750AHy3nZXS725AAHDC0qjPR2220233601966-09-280.4627192982456140.36239218403269490.75710054016379210.0157428665136110.8824120603015080.00.3023255813953490.353119448218205117.99940.126376221498371330.3452380952380950.153516801216450.4861111111111110.013.190075690601
760AJJJnR5VwJfeYGvnyG74v719153001967-03-290.627192982456140.30214577622475970.67707166504866500.0042636930141030.7778894472361810.002221084953940630.0894056847545220.389695892987773104.85940.118376517619188630.3571428571428570.6936366455588570.6388888888888890.015.3641314115338
770ATVUbPlX65HB5H1WbIugt5418135612020-12-040.9111842105263160.90059342711690870.78321260548129310.2893844976495030.1859296482412060.00.0643927648578810.895495872086947154.91240.110844684631329580.9880952380952380.2770825205325970.750.051.9031221393765
780AUeyoLQYwYUDsQRJZKvZd22248907019800.3991228070175440.8252854173569940.88131331989146910.0219744178419150.0005025125628144.4114636642784e-050.1214470284237730.409551677291253195.9940.160852827953805150.5119047619047620.576763402458910.5833333333333330.014.9059819728965
790AXtdoJaVk6W8pcYstecgw33193227020000.5866228070175440.8072114950146120.85333432902695810.0228490215371160.28.20880245649949e-050.0050645994832040.717838854634758120.17240.119632810186556110.750.4488560767483970.5972222222222220.034.09439364668
800AYmWvKRGtgePrpo3NdYXh4821853002019-02-010.6370614035087720.38147021317187340.75286884225723710.0072154804854050.940703517587940.4472876151484140.0945736434108530.215173999372975112.99640.13836467278649690.9761904761904760.9018937006692480.8472222222222220.042.9220527846565
810ApseFDjbipbKK0dBD4Viz3526701312005-11-150.8519736842105260.69776385416352990.88121375052896200.2959440253635070.0779899497487440.00.1421188630490960.53704671334517790.01140.174256736748593430.809523809523810.8096195592369180.6388888888888890.034.8690265263156
820Aq0weZZ0YzbrNlsA8UV3P2329410701997-01-050.5592105263157890.59634906768683970.81420356956164610.0041543675522030.0157788944723620.0003387922210849540.13281653746770.188002926115582140.84340.194314480307965640.7142857142857140.0050818802957090.1666666666666670.024.4145764534479
830Au3WxSl0fm6IvSZHCShjZ2215718701998-01-010.4868421052631580.92469199024008240.86543200657157800.0198972340658140.0141708542713570.01791197543500510.1400516795865630.639460758699969139.0840.092952324548415750.7261904761904760.2911777357622320.5555555555555560.024.637788840476
840AwC0oZxr25SOcThearmN42830038302005-04-290.9506578947368420.7057967085379270.87197869215642310.0376079588936260.013567839195980.00.0620155038759690.75023513428780499.02440.198960615931299960.809523809523810.2047457559296940.4861111111111110.034.4856784749792
850B1uuoyiPSkV2f8cAw473e023077301946-01-010.2269736842105260.19169402857687960.59955691633684310.0599103531212420.9959798994974870.90071647901740.1803617571059430.32908349879820379.24410.147428190701806320.1071428571428570.018046677270590.4027777777777780.4444444444444441.87941937277902
860B1uuoyiPSkV2f8cAw473e023077301946-01-010.2269736842105260.19169402857687960.59955691633684310.0599103531212420.9959798994974870.90071647901740.1803617571059430.32908349879820379.24410.147428190701806320.1071428571428570.0001100407150650.1111111111111110.4444444444444440.47034210575268
870B1uuoyiPSkV2f8cAw473e023077301946-01-010.2269736842105260.19169402857687960.59955691633684310.0599103531212420.9959798994974870.90071647901740.1803617571059430.32908349879820379.24410.147428190701806320.1071428571428570.00.0694444444444440.4444444444444440.47034210575268
880B1uuoyiPSkV2f8cAw473e023077301946-01-010.2269736842105260.19169402857687960.59955691633684310.0599103531212420.9959798994974870.90071647901740.1803617571059430.32908349879820379.24410.147428190701806320.1071428571428570.0267098826565830.6527777777777780.4444444444444441.87941937277902
890B1uuoyiPSkV2f8cAw473e023077301946-01-010.2269736842105260.19169402857687960.59955691633684310.0599103531212420.9959798994974870.90071647901740.1803617571059430.32908349879820379.24410.147428190701806320.1071428571428570.442503726378760.5972222222222220.4444444444444441.3571971505568
900BHIwbxTN0iSClgDaO36Ft3429388202009-02-210.6798245614035090.86946611641614290.96696786398825100.4260413250245980.3497487437185930.00.1927648578811370.823388023826941173.87440.194147912348238080.8571428571428570.5225533447375530.6944444444444440.22222222222222235.4709516456447
910BHIwbxTN0iSClgDaO36Ft3429388202009-02-210.6798245614035090.86946611641614290.96696786398825100.4260413250245980.3497487437185930.00.1927648578811370.823388023826941173.87440.194147912348238080.8571428571428570.2291247761671820.5138888888888890.22222222222222235.4709516456447
920BleuvVMt39PmQaukAdEcv37228053020100.3892543859649120.5039712423813450.81253578273965110.0064502022521050.6251256281407041.8014329580348e-050.1080103359173130.367750026126032156.07440.145414569144210830.8690476190476190.385122495323270.5833333333333330.033.9973005576168
930Bn854XtnJv15m9f1ZvWbe4419401302011-05-310.4714912280701750.88151539797772960.91250342269683600.0233956488466160.3005025125628140.00.0863049095607240.614379768000836160.01540.120214687592537760.8809523809523810.367055810649940.6805555555555560.040.4301647912923
940BsQm2iFzKTzAemliJtu8x3920123102016-11-250.5482456140350880.79214989306262640.87065939810320410.0076527823330050.0054271356783920.00.072661498708010.599749190093009129.99240.125558187740598150.940476190476190.3673159068855480.6250.045.0804559629553
950C2VNcmHdRRvQtetkaZVn532311440019900.5910087719298250.39452360153025910.67191895053891900.0027331365475020.6713567839195983.85875127942682e-050.1038759689922480.336398787752116102.0340.20714613562333430.6309523809523810.7723257605313970.7361111111111110.026.8362368045648
960C2XO15BhHDglDB724brOi43316627019980.8552631578947370.541123193862899100.72847434844298400.2041106373674430.0955778894472361.22824974411464e-050.0935400516795870.67917232730692980.98840.21098608232158720.7261904761904760.7064613907145640.6388888888888890.026.0365054773228
970CAinfqSGq1peA63s4gNam2118793301988-12-310.6282894736842110.297125242240765100.76187986956413510.0100579424948070.8934673366834170.00.073281653746770.585118612185181116.33530.115713651169677230.6071428571428570.2955093384552280.5972222222222220.021.0755577778261
980CBj18X3J7MabwDqKeMxuo47239373019990.3552631578947370.76905543673625100.87618549772235110.1068109762763750.1246231155778890.00.0544702842377260.74082976277563119.97340.153794788273615650.7380952380952380.3573122055160410.6527777777777780.024.637788840476
990CLO6b6Ohrnmp9fDLvYj3U25162987020030.2357456140350880.33929772770631980.69362507156547900.0115884989614080.9869346733668340.00.2124031007751940.25175044414254491.16540.097246076399170860.7857142857142860.0309514520372540.5416666666666670.11111111111111131.9652849415299
1000CMxaedU31OgxQvrA1VE1J5422586702019-10-250.8793859649122810.61542709682601830.90311901028053700.2237892205094570.2402010050251260.00.0663565891472870.399101264499948114.95940.14379626887770210.9761904761904760.3501795664395830.6805555555555560.11111111111111152.5464341434452
Rows: 1-100 | Columns: 26
" ], "text/plain": [ " id name \\\\\n", "1 0004Uy71ku11n3LMpuyf59 24.11.94 - Wersja Akustyczna \\\\\n", "2 008UO76dicJJrUb5g6WID0 Maj \\\\\n", "3 00D7fT49Q54HNiaaLY32UA Arabska noc \\\\\n", "4 00De7REGurYkmfrKAh6CU1 Dracula- The Beginning \\\\\n", "5 00KCwnrvIXX8GRU3ZMOIBW Désolée (Paris/Paname) \\\\\n", "6 00g7zzRDf2DOf4fKYzFTUA Wiraże \\\\\n", "7 00i4Q7OfN0mGnUyuyQcAdZ Pieseň Roxany a kadetov (Hráči mimo hry) \\\\\n", "8 00i4Q7OfN0mGnUyuyQcAdZ Pieseň Roxany a kadetov (Hráči mimo hry) \\\\\n", "9 00l8ILQ8qgsew789dGn1Gh Nyamaland \\\\\n", "10 00vlVv7WLZjyRS783REKmn Upadek \\\\\n", "11 00wJpDUdKoWQ2ibqTpJh1Y Ze Mną Bądź \\\\\n", "12 010cqDI9IKD8f3Ji8TnT9h Ballada o trzech trubadurach \\\\\n", "13 0123TtFcZ7pZIss52i7nAK Kocie Sprawy \\\\\n", "14 015JvDPIBquLQTX6VZPwB2 Kiedy znów zakwitną białe bzy \\\\\n", "15 01FN979nyz1gmdsfWZv5OL O Sobie Samym \\\\\n", "16 01LN8YM6L9V2a135AnhZqf Światłocienie \\\\\n", "17 01LN8YM6L9V2a135AnhZqf Światłocienie \\\\\n", "18 01j7wulLc7rJVk0STUPEKu Pyzate słoneczniki \\\\\n", "19 01lYEV7KZT34GOAW2MIgHF Jednego serca \\\\\n", "20 01uK4bh8p175iZj7uSkp5k O Tobie \\\\\n", "21 025zlWO2FRZZrFhRw5kqa9 Imperium UBOJU \\\\\n", "22 028DQ7NS44vnLRaoon0mwg Polska złota młodzież \\\\\n", "23 02GvdetV646M4C1Ip8CKg5 Muzyko z tamtej strony dnia \\\\\n", "24 02IpFuItRz1yXbYAtHsXJs Deszcz w Cisnej - 1976 \\\\\n", "25 02JLJi7sryFu44hhNWOv1c Początek końca \\\\\n", "26 02RqhFaAYzWScfVzKfTZ7L Ramię W Ramię \\\\\n", "27 02hewGMWcG5Vp8nwhcmTA0 Spalaj się \\\\\n", "28 02yg6Eksd8zZpYxsT1Lpsp Nie Jestem Soba \\\\\n", "29 03UV1fQG0MIm4CPszfttTJ Puste słowa \\\\\n", "30 04GlMx0s7MvdMr2MEXX8s8 Kochać cię za późno \\\\\n", "31 04PxH7CFGAaAvo6j0zZAOr Brać \\\\\n", "32 04PxH7CFGAaAvo6j0zZAOr Brać \\\\\n", "33 04QM4iqGabg7QlphUoWiMB Dotyk (2020 Remaster) \\\\\n", "34 04izaHyfYxsE3AQ68kgB4I Barbarossa \\\\\n", "35 04kSSveBKXiNeRaOXu2iog Nie Ma Nie Ma Ciebie \\\\\n", "36 04wTGEh2gJTG72yUoizwFV Bez szans \\\\\n", "37 053zfKbxSoqRm2RCdJdQMS Proletariat \\\\\n", "38 053zgCcuWJ9x4dJJgaF4VS Król Świtu \\\\\n", "39 054VUAvYt59A1yGSrBAgac Będzie dość \\\\\n", "40 05IAxc7j9T9KcEu0lAgbfB Lubisz To Lubisz (Radio Edit) \\\\\n", "41 05JJTD8KdxbZsMnOn6imMv Gdzie Ten, Ktory Powie Mi \\\\\n", "42 05RcrI18Qi65dwc3vegSNP Echo - feat. Ewa Farna \\\\\n", "43 05hJSmfNiPXSzwSLeG1Rfb Czarne Serce \\\\\n", "44 05hk8ivnCt0HP3aI1uWJfi Oranżada \\\\\n", "45 05v1D17vjtCNRyalBVGbKU Jeszcze W Zielone Gramy \\\\\n", "46 05yf5sbF36dhwGRfj18sg5 Poland Story \\\\\n", "47 062pHiX7lpKRDmFvmJor3o Spodnie z GS-u (The Butels) \\\\\n", "48 063FiQaY2FuZe3a44rZuSX Jak Dobrze Cię Widzieć \\\\\n", "49 063ZobFSzYA0O7fmfi4oik Pędzą Konie \\\\\n", "50 06AIE9kwssJ3cmPbMuHobb Hipisówka \\\\\n", "51 06K6svVGbiQILn9BAzZNgo Każdy Dzień \\\\\n", "52 06LDaZRAWOc0fNqkdOQo9S Intro Dab \\\\\n", "53 06SnvuakcuOcj3odFZpIpJ Po co ja za tobą biegam \\\\\n", "54 06V1fPvTfXdIBMUItnLmQ7 Nie płacz już \\\\\n", "55 06kPUkFJv1RfEVjgEF3oRz Stary Cygan \\\\\n", "56 07Iyx8PziAv997SrJanQgl Naima \\\\\n", "57 07QfWWYlJsbXiEbbKSvqcd Pieniądze Nie Śmierdzą \\\\\n", "58 07QfWWYlJsbXiEbbKSvqcd Pieniądze Nie Śmierdzą \\\\\n", "59 07rj0QlIw4hRcvhIJGY2Lf Trudno \\\\\n", "60 0804d5chEAcksTIZ7IVh6O Nigdy więcej \\\\\n", "61 08D5BLpRFI6PT2XYuq7eDg Brązowe Oczy \\\\\n", "62 08D6EqghkRLD6iFHKKWJ4Y Vanilla \\\\\n", "63 08ER472xnuMlbtkKSh3PB4 Gwizdze na wszystko \\\\\n", "64 08ULDx4KeBpXe7OHEWjgVP Ale Ale Aleksandra \\\\\n", "65 08uPk6Ge77W31WGGYNEPHA Pieseň o úspechu \\\\\n", "66 08uPk6Ge77W31WGGYNEPHA Pieseň o úspechu \\\\\n", "67 08xY8SSfwHc7SIXWroGW9j ?ycia modele \\\\\n", "68 095PNli2gmoYwlvgotxxEs Dziesięć przykazań \\\\\n", "69 09FEC2H0Ls5bXMSFj2bLzL Gucci Mane \\\\\n", "70 09GKW7x0iMuxzzM7IeQ01g Okularnicy \\\\\n", "71 09PwmLzRfWj5hkmIiw1a9X Jesienne róże \\\\\n", "72 09d4etyrEWf5BguIIUfRW9 Zgubiłam to wszystko \\\\\n", "73 0ADOK8ffxUlSDu51nIu5KU Straciłam Swój Rozsądek \\\\\n", "74 0AGuYcLlnbR7AOQSbTGzIz Bo to jest moja muzyka \\\\\n", "75 0AHy3nZXS725AAHDC0qjPR Serce \\\\\n", "76 0AJJJnR5VwJfeYGvnyG74v Gdy ktoś kogoś pokocha \\\\\n", "77 0ATVUbPlX65HB5H1WbIugt Rakieta \\\\\n", "78 0AUeyoLQYwYUDsQRJZKvZd Nietykalni - skamieniałe zło \\\\\n", "79 0AXtdoJaVk6W8pcYstecgw Czarna Inez \\\\\n", "80 0AYmWvKRGtgePrpo3NdYXh Niemożliwe \\\\\n", "81 0ApseFDjbipbKK0dBD4Viz Zen \\\\\n", "82 0Aq0weZZ0YzbrNlsA8UV3P Autoportret \\\\\n", "83 0Au3WxSl0fm6IvSZHCShjZ Umarłe Drzewa \\\\\n", "84 0AwC0oZxr25SOcThearmN4 Smoking \\\\\n", "85 0B1uuoyiPSkV2f8cAw473e 12 Impressions: No. 12, Viennese (Arr... \\\\\n", "86 0B1uuoyiPSkV2f8cAw473e 12 Impressions: No. 12, Viennese (Arr... \\\\\n", "87 0B1uuoyiPSkV2f8cAw473e 12 Impressions: No. 12, Viennese (Arr... \\\\\n", "88 0B1uuoyiPSkV2f8cAw473e 12 Impressions: No. 12, Viennese (Arr... \\\\\n", "89 0B1uuoyiPSkV2f8cAw473e 12 Impressions: No. 12, Viennese (Arr... \\\\\n", "90 0BHIwbxTN0iSClgDaO36Ft Wojna \\\\\n", "91 0BHIwbxTN0iSClgDaO36Ft Wojna \\\\\n", "92 0BleuvVMt39PmQaukAdEcv Dziś już wiem \\\\\n", "93 0Bn854XtnJv15m9f1ZvWbe Papieros \\\\\n", "94 0BsQm2iFzKTzAemliJtu8x Swoje szczęście znam \\\\\n", "95 0C2VNcmHdRRvQtetkaZVn5 Miłość i ja \\\\\n", "96 0C2XO15BhHDglDB724brOi Film \\\\\n", "97 0CAinfqSGq1peA63s4gNam Witraże \\\\\n", "98 0CBj18X3J7MabwDqKeMxuo A Wszystko To...(Bo Ciebie Kocham) \\\\\n", "99 0CLO6b6Ohrnmp9fDLvYj3U Sławcie usta \\\\\n", "100 0CMxaedU31OgxQvrA1VE1J THC \\\\\n", " popularity duration_ms explicit artists \\\\\n", "1 34 258907 0 ['Golden Life'] \\\\\n", "2 42 216813 0 ['Varius Manx'] \\\\\n", "3 41 196231 0 ['Quebonafide', 'Solar', 'Wac Toja'] \\\\\n", "4 36 400867 0 ['Wojciech Kilar'] \\\\\n", "5 55 207821 0 ['SHANGUY'] \\\\\n", "6 46 192857 0 ['Szopeen'] \\\\\n", "7 2 97924 0 ['Kamila Magálová', 'Vivat'] \\\\\n", "8 2 97924 0 ['Kamila Magálová', 'Vivat'] \\\\\n", "9 7 326240 0 ['Andrzej Kurylewicz Quintet'] \\\\\n", "10 24 243107 0 ['Molesta'] \\\\\n", "11 32 211653 0 ['Toledo'] \\\\\n", "12 14 191213 0 ['Wojciech Młynarski'] \\\\\n", "13 23 174160 0 ['Buzu Squat'] \\\\\n", "14 1 142211 0 ['Mieczyslaw Fogg'] \\\\\n", "15 45 182293 0 ['Robert Gawlinski'] \\\\\n", "16 57 168333 0 ['Ochman', '@atutowy'] \\\\\n", "17 57 168333 0 ['Ochman', '@atutowy'] \\\\\n", "18 5 200160 0 ['Novi Singers'] \\\\\n", "19 35 458307 0 ['Czesław Niemen'] \\\\\n", "20 45 204893 0 ['Bajm'] \\\\\n", "21 40 191893 0 ['Hunter'] \\\\\n", "22 18 232640 0 ['Dezerter'] \\\\\n", "23 9 209507 0 ['Krzysztof Klenczon'] \\\\\n", "24 40 218436 0 ['Krystyna Prońko'] \\\\\n", "25 30 254000 1 ['Słoń', 'Mikser', 'Tomasz Struszczyk'] \\\\\n", "26 53 202784 0 ['Viki Gabor', 'Kayah'] \\\\\n", "27 19 219267 0 ['Kazik Na Żywo'] \\\\\n", "28 29 104213 0 ['Elektryczne Gitary'] \\\\\n", "29 35 183834 0 ['Łzy'] \\\\\n", "30 34 255840 0 ['Kombi'] \\\\\n", "31 42 229407 0 ['Donatan', 'Cleo', 'Enej'] \\\\\n", "32 42 229407 0 ['Donatan', 'Cleo', 'Enej'] \\\\\n", "33 26 267408 0 ['Edyta Gorniak'] \\\\\n", "34 24 145827 0 ['Orkiestra Dni Naszych'] \\\\\n", "35 43 229933 0 ['Kayah', 'Goran Bregović'] \\\\\n", "36 10 205693 0 ['Kombi'] \\\\\n", "37 28 201400 0 ['Proletaryat'] \\\\\n", "38 10 509704 0 ['Marek Bilinski'] \\\\\n", "39 22 203213 0 ['Anna Jantar'] \\\\\n", "40 46 216013 0 ['Power Play'] \\\\\n", "41 42 230853 0 ['Brathanki'] \\\\\n", "42 43 216000 0 ['Kaen', 'Ewa Farna'] \\\\\n", "43 39 232507 0 ['Limboski'] \\\\\n", "44 43 295067 0 ['KONIEC ŚWIATA'] \\\\\n", "45 34 481160 0 ['Raz Dwa Trzy'] \\\\\n", "46 27 225647 0 ['Vavamuffin'] \\\\\n", "47 38 182813 0 ['Farben Lehre'] \\\\\n", "48 37 221187 0 ['Tabu'] \\\\\n", "49 42 212689 0 ['GOLEC UORKIESTRA'] \\\\\n", "50 30 323133 0 ['Kobranocka'] \\\\\n", "51 37 374120 1 ['Sokół', 'Marysia Starosta'] \\\\\n", "52 18 77853 0 ['Kaliber 44'] \\\\\n", "53 18 137639 0 ['Trubadurzy'] \\\\\n", "54 14 119493 0 ['Piotr Szczepanik'] \\\\\n", "55 23 250227 0 ['Akcent'] \\\\\n", "56 11 279013 0 ['Stanisław Soyka'] \\\\\n", "57 34 320993 1 ['Siwers', 'Ero', 'Sokół'] \\\\\n", "58 34 320993 1 ['Siwers', 'Ero', 'Sokół'] \\\\\n", "59 6 123173 0 ['Mazowsze'] \\\\\n", "60 29 200000 0 ['Piotr Szczepanik'] \\\\\n", "61 28 273267 0 ['Milano'] \\\\\n", "62 55 213120 1 ['Trill Pem', 'Yann'] \\\\\n", "63 11 166867 0 ['Mieczyslaw Fogg'] \\\\\n", "64 45 277293 0 ['Andre'] \\\\\n", "65 2 156369 0 ['Jana Jakubcová', 'Vivat'] \\\\\n", "66 2 156369 0 ['Jana Jakubcová', 'Vivat'] \\\\\n", "67 16 167360 0 ['Grzegorz Turnau'] \\\\\n", "68 28 269067 0 ['Bajm'] \\\\\n", "69 50 198460 0 ['Deemz', 'Bedoes', 'Young Multi'] \\\\\n", "70 7 153521 0 ['Sława Przybylska'] \\\\\n", "71 21 251316 0 ['Mieczyslaw Fogg'] \\\\\n", "72 12 212523 0 ['Irena Jarocka'] \\\\\n", "73 23 274533 0 ['Kasia Kowalska'] \\\\\n", "74 29 232960 0 ['Bayer Full'] \\\\\n", "75 22 202336 0 ['Irena Santor'] \\\\\n", "76 7 191530 0 ['Czerwone Gitary'] \\\\\n", "77 54 181356 1 ['Jacuś'] \\\\\n", "78 22 248907 0 ['Kombi'] \\\\\n", "79 33 193227 0 ['Raz Dwa Trzy'] \\\\\n", "80 48 218530 0 ['Kwiat Jabłoni'] \\\\\n", "81 35 267013 1 ['WWO'] \\\\\n", "82 23 294107 0 ['Lizard'] \\\\\n", "83 22 157187 0 ['KSU'] \\\\\n", "84 28 300383 0 ['Vavamuffin'] \\\\\n", "85 0 230773 0 ['Jascha Heifetz', 'Leopold Godowsky'... \\\\\n", "86 0 230773 0 ['Jascha Heifetz', 'Leopold Godowsky'... \\\\\n", "87 0 230773 0 ['Jascha Heifetz', 'Leopold Godowsky'... \\\\\n", "88 0 230773 0 ['Jascha Heifetz', 'Leopold Godowsky'... \\\\\n", "89 0 230773 0 ['Jascha Heifetz', 'Leopold Godowsky'... \\\\\n", "90 34 293882 0 ['Miuosh', 'Bas Tajpan', 'Hemp Gru'] \\\\\n", "91 34 293882 0 ['Miuosh', 'Bas Tajpan', 'Hemp Gru'] \\\\\n", "92 37 228053 0 ['Urszula'] \\\\\n", "93 44 194013 0 ['Video'] \\\\\n", "94 39 201231 0 ['Feel'] \\\\\n", "95 32 311440 0 ['Bajm'] \\\\\n", "96 43 316627 0 ['Kaliber 44'] \\\\\n", "97 21 187933 0 ['Michał Bajor'] \\\\\n", "98 47 239373 0 ['Ich Troje'] \\\\\n", "99 25 162987 0 ['Irena Pfeiffer', 'Dominikański Ośro... \\\\\n", "100 54 225867 0 ['Young Igi', 'Włodi'] \\\\\n", " id_artists release_date danceability \\\\\n", "1 ['3NyQ2NjqMjDtVSiEkXFW2r'] 2012-01-01 0.617324561403509 \\\\\n", "2 ['6XdnqaETDFgrNMaeYmUx55'] 2001 0.676535087719298 \\\\\n", "3 ['1fxbULcd6ryMNc1usHoP0R', '1KJvuZHmk... 2017-06-07 0.527412280701754 \\\\\n", "4 ['6McH9ZlRL24gW6Bt4fpqad'] 1992-10-30 0.173245614035088 \\\\\n", "5 ['3PGTwjhnIwu8lr0cH8KFrs'] 2019-12-06 0.838815789473684 \\\\\n", "6 ['5BrkebliJMRAGRPg8NRDGi'] 2018-08-24 0.756578947368421 \\\\\n", "7 ['48V2wO7tr6P6Qql1nzILBz', '50GAVxGqL... 1978-01-01 0.5625 \\\\\n", "8 ['48V2wO7tr6P6Qql1nzILBz', '50GAVxGqL... 1978-01-01 0.5625 \\\\\n", "9 ['5TEGhxUxxjbQScbygeuvDj'] 1963-03-25 0.557017543859649 \\\\\n", "10 ['28MEXbuN5228Ig7tTlyEpV'] 1998 0.902412280701754 \\\\\n", "11 ['0c7soAA3Nv5aaDBMtCy7v4'] 1998-08-30 0.81359649122807 \\\\\n", "12 ['7v2laCPnrOb7G5W4oZj10b'] 1967-04-14 0.495614035087719 \\\\\n", "13 ['3PfkQWRO7rxkx0Z9Gs5MmB'] 1995-02-27 0.629385964912281 \\\\\n", "14 ['2P14f8iIJW2W9pGvYMcCtq'] 1960-09-07 0.244517543859649 \\\\\n", "15 ['32qNyW2sjyjjPDQamC2f9O'] 1995-08-31 0.544956140350877 \\\\\n", "16 ['45YERUZVQOedUFX24vFcvc', '53UpeT3ka... 2020-12-05 0.611842105263158 \\\\\n", "17 ['45YERUZVQOedUFX24vFcvc', '53UpeT3ka... 2020-12-05 0.611842105263158 \\\\\n", "18 ['6MYTh67wB2kwcyewyzhWEn'] 1967-03-06 0.385964912280702 \\\\\n", "19 ['6VDUKPL50LjK2upB0R3SXE'] 1969-06-11 0.287280701754386 \\\\\n", "20 ['1ckVZCWKKoeh5GhtidoU4D'] 2000 0.605263157894737 \\\\\n", "21 ['6okfEEQ3JSQMpjfChbWit2'] 2013-11-15 0.664473684210526 \\\\\n", "22 ['4qvXg7WxzF9JImuoRt3yGl'] 1987 0.339912280701754 \\\\\n", "23 ['3L6tyZ6cRzyo0VsnwSiOPy'] 1978-07-22 0.519736842105263 \\\\\n", "24 ['4SCH2LpYYD5iKpc1xtDJ4Y'] 2000-11-20 0.524122807017544 \\\\\n", "25 ['0wm6v5GU6VbR1wtsm0YiTV', '5K5oJ8X8B... 2010-09-24 0.854166666666667 \\\\\n", "26 ['3yCRvilOBzRkyxOsOi4tsR', '2v295z585... 2020-01-07 0.605263157894737 \\\\\n", "27 ['2uxD55T4gdYlDMGcGtxmMP'] 1994 0.540570175438596 \\\\\n", "28 ['3FQiN6DM4NiLN3T0wz8t2Q'] 1999-01-01 0.481359649122807 \\\\\n", "29 ['49kDJkXVeVB2KjvJmAwq0f'] 2006-06-26 0.658991228070175 \\\\\n", "30 ['5ON4u1xPXV7o5j6Spn0MKF'] 2008-04-18 0.518640350877193 \\\\\n", "31 ['1jWDblyJH2DelrPyt87yZV', '0ZXDvZqBz... 2014-11-07 0.706140350877193 \\\\\n", "32 ['1jWDblyJH2DelrPyt87yZV', '0ZXDvZqBz... 2014-11-07 0.706140350877193 \\\\\n", "33 ['6e14dV47cVGbpJqh1SNyFX'] 1995-05-08 0.583333333333333 \\\\\n", "34 ['2VqYqTrvIdzA2RABnDxrkB'] 2000-04-20 0.724780701754386 \\\\\n", "35 ['2v295z585SM68pluEKXKSM', '491v9k5NT... 1999-06-05 0.671052631578947 \\\\\n", "36 ['5ON4u1xPXV7o5j6Spn0MKF'] 1980 0.455043859649123 \\\\\n", "37 ['0krPyzj6zmF8YkpPD1elz3'] 1997-01-01 0.394736842105263 \\\\\n", "38 ['2MFdUyGa1eKDvMT6wCOlhT'] 1982 0.135964912280702 \\\\\n", "39 ['32ojq4MJxHtYDXaeb1LIzm'] 1976-02-12 0.523026315789474 \\\\\n", "40 ['0Hob9LUr2x0SULSZjuf6li'] 2016-01-03 0.789473684210526 \\\\\n", "41 ['7aD1kSF3KjJCUXNhqW8O2I'] 2000 0.662280701754386 \\\\\n", "42 ['7mlwqVTcj8bEk17NVEXfTK', '6xajh3A5q... 2017-10-27 0.633771929824561 \\\\\n", "43 ['4n44SROLP2vIR9HkYvwv8s'] 2016-10-21 0.416666666666667 \\\\\n", "44 ['2LKT9YGEiIoMAxtCjAJ6Sn'] 2015-03-06 0.589912280701754 \\\\\n", "45 ['1ZqkYyZttThOyOQx22221T'] 2007-06-10 0.407894736842105 \\\\\n", "46 ['2Lm3vSenofPiawS8U58tMD'] 2007-11-19 0.934210526315789 \\\\\n", "47 ['3O9bFJBTRddC4HOsZixhuw'] 2006 0.50219298245614 \\\\\n", "48 ['0GQZc3zcll9HXIVaUA1XzJ'] 2012-08-08 0.780701754385965 \\\\\n", "49 ['7sYIwdHZoqVUh6i58SJrmx'] 2002-03-12 0.775219298245614 \\\\\n", "50 ['55bqpWJMazkqj8A3iziuuF'] 2007-05-11 0.084429824561404 \\\\\n", "51 ['5Kuxl5ZenCl9fYzmtin6ot', '3cUZ9nX6H... 2013-12-13 0.607456140350877 \\\\\n", "52 ['2UTeT9IOjc4x9MeQWA0Hrx'] 1998 0.769736842105263 \\\\\n", "53 ['3dNEhgwAjiSzy46FCsxT3H'] 1969-09-06 0.642543859649123 \\\\\n", "54 ['7h53NTYbN0ZKVQaFDxIkEc'] 1967-10-16 0.413377192982456 \\\\\n", "55 ['10wjV72OetIdsUQEcjSnOd'] 1997-01-01 0.757675438596491 \\\\\n", "56 ['43CscN9BMaLKwgyP8XlSmW'] 1981 0.330043859649123 \\\\\n", "57 ['5qeq8REEH84JmnUZh9U9P3', '54DALKUBH... 2010-04-26 0.50109649122807 \\\\\n", "58 ['5qeq8REEH84JmnUZh9U9P3', '54DALKUBH... 2010-04-26 0.50109649122807 \\\\\n", "59 ['1e8yvNz0bQq8RdTC2i9Zwk'] 1965-10-12 0.541666666666667 \\\\\n", "60 ['7h53NTYbN0ZKVQaFDxIkEc'] 1967-10-16 0.296052631578947 \\\\\n", "61 ['2S4iMrlud8RZ6Jck35OR0p'] 1996-01-01 0.697368421052632 \\\\\n", "62 ['0x4xJCGDyTlKr47RF2WXzu', '4h753YBaE... 2020-01-27 0.765350877192982 \\\\\n", "63 ['2P14f8iIJW2W9pGvYMcCtq'] 1975-09-07 0.303728070175439 \\\\\n", "64 ['1BmEPjXHyBgwuCPsQTmChB'] 2014-04-16 0.6875 \\\\\n", "65 ['7MpxTazRiVFRsFJQdIJ3Mj', '50GAVxGqL... 1978-01-01 0.448464912280702 \\\\\n", "66 ['7MpxTazRiVFRsFJQdIJ3Mj', '50GAVxGqL... 1978-01-01 0.448464912280702 \\\\\n", "67 ['5bQZCiENsgmW4SvUOc86qI'] 1994 0.289473684210526 \\\\\n", "68 ['1ckVZCWKKoeh5GhtidoU4D'] 1995 0.565789473684211 \\\\\n", "69 ['3gm9b6AeMf2eGQTLashkDt', '0LX2VNf5w... 2018-10-24 0.710526315789474 \\\\\n", "70 ['0o7p9WUBNSwNwLXOi87H0y'] 1964-02-21 0.505482456140351 \\\\\n", "71 ['2P14f8iIJW2W9pGvYMcCtq'] 1969-09-07 0.288377192982456 \\\\\n", "72 ['1iPwHZTkXENxvhYejtnr5F'] 1974-08-16 0.271929824561404 \\\\\n", "73 ['6VKh8iOViFBI7R8Bb9AilZ'] 1999 0.660087719298246 \\\\\n", "74 ['454eECORMCJhObH01Bm1Pv'] 2000-12-31 0.424342105263158 \\\\\n", "75 ['0z300uEtGh3BdYBC3vpnPW'] 1966-09-28 0.462719298245614 \\\\\n", "76 ['4wck1fvaBpmJNFaeDT1Laa'] 1967-03-29 0.62719298245614 \\\\\n", "77 ['1efYxTvCNTpqYqfiEsxawq'] 2020-12-04 0.911184210526316 \\\\\n", "78 ['5ON4u1xPXV7o5j6Spn0MKF'] 1980 0.399122807017544 \\\\\n", "79 ['1ZqkYyZttThOyOQx22221T'] 2000 0.586622807017544 \\\\\n", "80 ['53l3yjX8ITilPIlCRsVKEB'] 2019-02-01 0.637061403508772 \\\\\n", "81 ['0MaSZtK5rLCLPbMNdWQIL9'] 2005-11-15 0.851973684210526 \\\\\n", "82 ['3eWzSwAoHCTIxba358ZDyj'] 1997-01-05 0.559210526315789 \\\\\n", "83 ['0qp4NhoMGGrzCtWu4CkEsE'] 1998-01-01 0.486842105263158 \\\\\n", "84 ['2Lm3vSenofPiawS8U58tMD'] 2005-04-29 0.950657894736842 \\\\\n", "85 ['7yaBUcdjmqPP2vIv6F5bFD', '0HC5DGqdU... 1946-01-01 0.226973684210526 \\\\\n", "86 ['7yaBUcdjmqPP2vIv6F5bFD', '0HC5DGqdU... 1946-01-01 0.226973684210526 \\\\\n", "87 ['7yaBUcdjmqPP2vIv6F5bFD', '0HC5DGqdU... 1946-01-01 0.226973684210526 \\\\\n", "88 ['7yaBUcdjmqPP2vIv6F5bFD', '0HC5DGqdU... 1946-01-01 0.226973684210526 \\\\\n", "89 ['7yaBUcdjmqPP2vIv6F5bFD', '0HC5DGqdU... 1946-01-01 0.226973684210526 \\\\\n", "90 ['3BroLrMp9Q01yOnhLn9qxX', '5gRK2Eipe... 2009-02-21 0.679824561403509 \\\\\n", "91 ['3BroLrMp9Q01yOnhLn9qxX', '5gRK2Eipe... 2009-02-21 0.679824561403509 \\\\\n", "92 ['6vIPbNGbwdrg7LSpz4V2QX'] 2010 0.389254385964912 \\\\\n", "93 ['3G54kKR2IdE4t5TXrs2Y8K'] 2011-05-31 0.471491228070175 \\\\\n", "94 ['4QgvuQGl8OtPaUpg492Jyz'] 2016-11-25 0.548245614035088 \\\\\n", "95 ['1ckVZCWKKoeh5GhtidoU4D'] 1990 0.591008771929825 \\\\\n", "96 ['2UTeT9IOjc4x9MeQWA0Hrx'] 1998 0.855263157894737 \\\\\n", "97 ['4wiuQi8pMd9fwJxreqT5H1'] 1988-12-31 0.628289473684211 \\\\\n", "98 ['0bRV6QPqD18yNy76IeBr10'] 1999 0.355263157894737 \\\\\n", "99 ['0ALBMwCtnRjOADA2ZV2g7s', '75LR4EwgI... 2003 0.235745614035088 \\\\\n", "100 ['1yq2JzsqbzFbJ1B7wGOXLc', '2FBmYj55z... 2019-10-25 0.879385964912281 \\\\\n", " energy key loudness mode \\\\\n", "1 0.599361388077236 6 0.797675055385458 1 \\\\\n", "2 0.886535931961723 9 0.925795932591542 0 \\\\\n", "3 0.672661184243556 1 0.904687227740024 1 \\\\\n", "4 0.102328523661777 11 0.460284270529958 0 \\\\\n", "5 0.692743320179534 6 0.876608667513006 0 \\\\\n", "6 0.79817453384342 1 0.865855176362233 1 \\\\\n", "7 0.674669397837154 7 0.840589450626042 0 \\\\\n", "8 0.674669397837154 7 0.840589450626042 0 \\\\\n", "9 0.601369601670834 2 0.832026485450427 0 \\\\\n", "10 0.505979455974937 1 0.825504692206208 1 \\\\\n", "11 0.924691990240082 6 0.835312274413163 0 \\\\\n", "12 0.415609844263036 10 0.821297886640281 1 \\\\\n", "13 0.627476378387605 0 0.69920095586588 1 \\\\\n", "14 0.293108815053569 0 0.727403977796032 1 \\\\\n", "15 0.686718679398741 2 0.856943718417843 1 \\\\\n", "16 0.458786436525389 7 0.754362382694845 0 \\\\\n", "17 0.458786436525389 7 0.754362382694845 0 \\\\\n", "18 0.242903475213624 4 0.739103377890623 0 \\\\\n", "19 0.549156048237291 3 0.821372563662161 1 \\\\\n", "20 0.533090339488508 2 0.804918726507854 0 \\\\\n", "21 0.978913757267223 5 0.935379483732855 0 \\\\\n", "22 0.969876796096033 2 0.947975008090011 1 \\\\\n", "23 0.235874727636031 5 0.677743758245588 0 \\\\\n", "24 0.665632436665964 5 0.862992557190153 1 \\\\\n", "25 0.702784388147523 0 0.843825454907525 1 \\\\\n", "26 0.710817242521915 1 0.911333482687377 0 \\\\\n", "27 0.796166320249822 4 0.744729046872277 1 \\\\\n", "28 0.820264883372996 7 0.85223906603938 1 \\\\\n", "29 0.653583155104377 4 0.906205660518259 0 \\\\\n", "30 0.872478436806539 1 0.748338436263162 1 \\\\\n", "31 0.771063650329849 1 0.903940457521221 0 \\\\\n", "32 0.771063650329849 1 0.903940457521221 0 \\\\\n", "33 0.870470223212941 1 0.880790580738307 0 \\\\\n", "34 0.77005954353305 9 0.880367410947651 0 \\\\\n", "35 0.436696086995813 0 0.771239389639808 0 \\\\\n", "36 0.85340040766736 10 0.862619172080751 1 \\\\\n", "37 0.958831621331245 2 0.891768102954721 1 \\\\\n", "38 0.199726882951271 0 0.608592835984368 1 \\\\\n", "39 0.486901426835758 5 0.794737759191497 1 \\\\\n", "40 0.928708417427278 11 0.957458989868817 1 \\\\\n", "41 0.910634495084897 7 0.923605406616384 0 \\\\\n", "42 0.882519504774528 0 0.904886366465039 1 \\\\\n", "43 0.425650912231025 6 0.866203669131008 0 \\\\\n", "44 0.763030795955458 2 0.819306499390138 1 \\\\\n", "45 0.785121145485034 11 0.772334652627387 0 \\\\\n", "46 0.690735106585936 7 0.873571801956538 1 \\\\\n", "47 0.993975359219207 2 0.905433997958828 1 \\\\\n", "48 0.70579670853792 0 0.901276977074154 1 \\\\\n", "49 0.952806980550451 10 0.919523062753591 1 \\\\\n", "50 0.91766324266249 7 0.897169740870734 1 \\\\\n", "51 0.763030795955458 0 0.803499863092127 0 \\\\\n", "52 0.454770009338193 10 0.752321210763448 1 \\\\\n", "53 0.5401190870661 2 0.785602270181465 0 \\\\\n", "54 0.332268980128726 5 0.634107485126826 0 \\\\\n", "55 0.735919912441887 0 0.776964627983969 1 \\\\\n", "56 0.138476368346537 10 0.526298757872203 0 \\\\\n", "57 0.957827514534446 10 0.886167326313693 0 \\\\\n", "58 0.957827514534446 10 0.886167326313693 0 \\\\\n", "59 0.187677601389684 0 0.651507231224952 0 \\\\\n", "60 0.438704300589411 9 0.693973564334254 0 \\\\\n", "61 0.940757698988864 5 0.865307544868444 0 \\\\\n", "62 0.68772278619554 0 0.808677469942499 0 \\\\\n", "63 0.289092387866373 10 0.664451248350882 1 \\\\\n", "64 0.931720737817674 3 0.918079306997237 1 \\\\\n", "65 0.547147834643693 5 0.807955592064322 1 \\\\\n", "66 0.547147834643693 5 0.807955592064322 1 \\\\\n", "67 0.244911688807222 2 0.671894058198292 0 \\\\\n", "68 0.616431203622817 7 0.900007467702188 0 \\\\\n", "69 0.808215601811409 0 0.828840265850198 1 \\\\\n", "70 0.207759737325662 0 0.707166504866453 1 \\\\\n", "71 0.38448253356227 0 0.798347148582381 1 \\\\\n", "72 0.428663232621422 9 0.811415627411445 0 \\\\\n", "73 0.298129349037564 1 0.748910960097578 0 \\\\\n", "74 0.573254611360464 2 0.805590819704777 0 \\\\\n", "75 0.362392184032694 9 0.757100540163792 1 \\\\\n", "76 0.302145776224759 7 0.677071665048665 0 \\\\\n", "77 0.900593427116908 7 0.783212605481293 1 \\\\\n", "78 0.82528541735699 4 0.881313319891469 1 \\\\\n", "79 0.80721149501461 2 0.853334329026958 1 \\\\\n", "80 0.381470213171873 4 0.752868842257237 1 \\\\\n", "81 0.697763854163529 9 0.881213750528962 0 \\\\\n", "82 0.596349067686839 7 0.814203569561646 1 \\\\\n", "83 0.924691990240082 4 0.865432006571578 0 \\\\\n", "84 0.70579670853792 7 0.871978692156423 1 \\\\\n", "85 0.191694028576879 6 0.599556916336843 1 \\\\\n", "86 0.191694028576879 6 0.599556916336843 1 \\\\\n", "87 0.191694028576879 6 0.599556916336843 1 \\\\\n", "88 0.191694028576879 6 0.599556916336843 1 \\\\\n", "89 0.191694028576879 6 0.599556916336843 1 \\\\\n", "90 0.869466116416142 9 0.966967863988251 0 \\\\\n", "91 0.869466116416142 9 0.966967863988251 0 \\\\\n", "92 0.50397124238134 5 0.812535782739651 1 \\\\\n", "93 0.881515397977729 6 0.912503422696836 0 \\\\\n", "94 0.792149893062626 4 0.870659398103204 1 \\\\\n", "95 0.394523601530259 1 0.671918950538919 0 \\\\\n", "96 0.541123193862899 10 0.728474348442984 0 \\\\\n", "97 0.297125242240765 10 0.761879869564135 1 \\\\\n", "98 0.769055436736251 0 0.876185497722351 1 \\\\\n", "99 0.339297727706319 8 0.693625071565479 0 \\\\\n", "100 0.615427096826018 3 0.903119010280537 0 \\\\\n", " speechiness acousticness instrumentalness \\\\\n", "1 0.002405160161802 0.177889447236181 0.00151484135107472 \\\\\n", "2 0.023614299770417 0.164824120603015 0.0 \\\\\n", "3 0.098064939324369 0.198994974874372 0.0 \\\\\n", "4 0.025910134470318 0.512562814070352 0.708290685772774 \\\\\n", "5 0.04307423198863 0.17286432160804 0.00101944728761515 \\\\\n", "6 0.337487700885536 0.569849246231156 0.0 \\\\\n", "7 0.078058379796655 0.632160804020101 0.0 \\\\\n", "8 0.078058379796655 0.632160804020101 0.0 \\\\\n", "9 0.006668853175905 0.511557788944724 9.71340839303992e-06 \\\\\n", "10 0.381217885645567 0.052160804020101 0.0 \\\\\n", "11 0.010604569804307 0.315577889447236 0.000427840327533265 \\\\\n", "12 0.016180168361211 0.787939698492462 0.0 \\\\\n", "13 0.012791079042309 0.014874371859296 0.00065813715455476 \\\\\n", "14 0.012244451732809 0.689447236180905 6.86796315250768e-06 \\\\\n", "15 0.002951787471302 0.062412060301508 6.01842374616172e-05 \\\\\n", "16 0.038154586203127 0.117587939698492 3.57215967246674e-05 \\\\\n", "17 0.038154586203127 0.117587939698492 3.57215967246674e-05 \\\\\n", "18 0.009074013337706 0.961809045226131 0.000517911975435005 \\\\\n", "19 0.038154586203127 0.535678391959799 0.00208802456499488 \\\\\n", "20 0.005903574942604 0.422110552763819 2.55885363357216e-06 \\\\\n", "21 0.133049087132393 0.001206030150754 3.87922210849539e-06 \\\\\n", "22 0.149447906417405 0.001206030150754 0.000334698055271238 \\\\\n", "23 0.049961736088335 0.532663316582915 0.0008014329580348 \\\\\n", "24 0.033125614955723 0.22713567839196 2.97850562947799e-05 \\\\\n", "25 0.411829014977588 0.223115577889447 0.0 \\\\\n", "26 0.177872526511425 0.037286432160804 0.0 \\\\\n", "27 0.083743303815459 0.008341708542714 0.0 \\\\\n", "28 0.024160927079917 0.006532663316583 1.40225179119754e-06 \\\\\n", "29 0.030173827484421 0.029346733668342 0.0 \\\\\n", "30 0.01486826281841 0.000201005025126 0.163766632548618 \\\\\n", "31 0.047337925002733 0.02894472361809 0.0 \\\\\n", "32 0.047337925002733 0.02894472361809 0.0 \\\\\n", "33 0.046572646769433 0.120603015075377 7.05220061412487e-05 \\\\\n", "34 0.165846725702416 0.178894472361809 0.0 \\\\\n", "35 0.01421231004701 0.299497487437186 0.0 \\\\\n", "36 0.034546845960424 0.000100502512563 0.00331627430910952 \\\\\n", "37 0.026456761779819 0.001005025125628 0.0206755373592631 \\\\\n", "38 0.015961517437411 0.78894472361809 0.410440122824974 \\\\\n", "39 0.030611129332021 0.733668341708543 0.0277379733879222 \\\\\n", "40 0.079260959877555 0.125628140703518 0.0 \\\\\n", "41 0.126489559418389 0.079597989949749 0.00030603889457523 \\\\\n", "42 0.108997485514376 0.087638190954774 0.0 \\\\\n", "43 0.011588498961408 0.826130653266332 0.00408393039918117 \\\\\n", "44 0.017820050289712 0.539698492462312 0.0 \\\\\n", "45 0.040559746364928 0.833165829145729 0.0509723643807574 \\\\\n", "46 0.188805072701432 0.109547738693467 0.0 \\\\\n", "47 0.088225647753362 0.001206030150754 1.19754350051177e-06 \\\\\n", "48 0.022849021537116 0.194974874371859 1.69907881269191e-06 \\\\\n", "49 0.02908057286542 0.152763819095477 0.0 \\\\\n", "50 0.038045260741227 0.002311557788945 7.93244626407369e-05 \\\\\n", "51 0.050727014321636 0.014974874371859 1.45342886386899e-06 \\\\\n", "52 0.01399365912321 0.301507537688442 0.814738996929376 \\\\\n", "53 0.008527386028206 0.072663316582915 0.0 \\\\\n", "54 0.01388433366131 0.765829145728643 0.000541453428863869 \\\\\n", "55 0.013228380889909 0.008844221105528 0.0224155578300921 \\\\\n", "56 0.009511315185307 0.355778894472362 8.86386898669396e-06 \\\\\n", "57 0.292664261506505 0.013969849246231 7.21596724667349e-06 \\\\\n", "58 0.292664261506505 0.013969849246231 7.21596724667349e-06 \\\\\n", "59 0.027550016398819 0.97286432160804 8.84339815762538e-06 \\\\\n", "60 0.025363507160818 0.879396984924623 5.03582395087001e-05 \\\\\n", "61 0.007652782333005 0.509547738693467 5.496417604913e-06 \\\\\n", "62 0.036733355198426 0.301507537688442 0.0269191402251791 \\\\\n", "63 0.07149885208265 0.934673366834171 0.0 \\\\\n", "64 0.017492073904012 0.014773869346734 0.00118730808597748 \\\\\n", "65 0.318902372362523 0.784924623115578 1.31013306038895e-06 \\\\\n", "66 0.318902372362523 0.784924623115578 1.31013306038895e-06 \\\\\n", "67 0.017273422980212 0.660301507537688 0.0 \\\\\n", "68 0.005138296709304 0.055175879396985 6.16171954964176e-06 \\\\\n", "69 0.21394992893845 0.299497487437186 0.000127942681678608 \\\\\n", "70 0.011588498961408 0.739698492462312 0.0 \\\\\n", "71 0.008746036952006 0.717587939698492 8.08597748208802e-06 \\\\\n", "72 0.009511315185307 0.436180904522613 0.0 \\\\\n", "73 0.004591669399803 0.412060301507538 0.0 \\\\\n", "74 0.007652782333005 0.080301507537688 0.000113613101330604 \\\\\n", "75 0.015742866513611 0.882412060301508 0.0 \\\\\n", "76 0.004263693014103 0.777889447236181 0.00222108495394063 \\\\\n", "77 0.289384497649503 0.185929648241206 0.0 \\\\\n", "78 0.021974417841915 0.000502512562814 4.4114636642784e-05 \\\\\n", "79 0.022849021537116 0.2 8.20880245649949e-05 \\\\\n", "80 0.007215480485405 0.94070351758794 0.447287615148414 \\\\\n", "81 0.295944025363507 0.077989949748744 0.0 \\\\\n", "82 0.004154367552203 0.015778894472362 0.000338792221084954 \\\\\n", "83 0.019897234065814 0.014170854271357 0.0179119754350051 \\\\\n", "84 0.037607958893626 0.01356783919598 0.0 \\\\\n", "85 0.059910353121242 0.995979899497487 0.9007164790174 \\\\\n", "86 0.059910353121242 0.995979899497487 0.9007164790174 \\\\\n", "87 0.059910353121242 0.995979899497487 0.9007164790174 \\\\\n", "88 0.059910353121242 0.995979899497487 0.9007164790174 \\\\\n", "89 0.059910353121242 0.995979899497487 0.9007164790174 \\\\\n", "90 0.426041325024598 0.349748743718593 0.0 \\\\\n", "91 0.426041325024598 0.349748743718593 0.0 \\\\\n", "92 0.006450202252105 0.625125628140704 1.8014329580348e-05 \\\\\n", "93 0.023395648846616 0.300502512562814 0.0 \\\\\n", "94 0.007652782333005 0.005427135678392 0.0 \\\\\n", "95 0.002733136547502 0.671356783919598 3.85875127942682e-05 \\\\\n", "96 0.204110637367443 0.095577889447236 1.22824974411464e-05 \\\\\n", "97 0.010057942494807 0.893467336683417 0.0 \\\\\n", "98 0.106810976276375 0.124623115577889 0.0 \\\\\n", "99 0.011588498961408 0.986934673366834 0.0 \\\\\n", "100 0.223789220509457 0.240201005025126 0.0 \\\\\n", " liveness valence tempo time_signature \\\\\n", "1 0.061291989664083 0.365659943567771 140.056 4 \\\\\n", "2 0.069457364341085 0.74187480405476 119.981 4 \\\\\n", "3 0.099741602067183 0.120075242972097 120.061 5 \\\\\n", "4 0.055090439276486 0.001881074302435 114.592 3 \\\\\n", "5 0.07297157622739 0.596614066255617 123.985 4 \\\\\n", "6 0.078449612403101 0.726199184867802 112.343 4 \\\\\n", "7 0.208268733850129 0.937297523252168 98.842 4 \\\\\n", "8 0.208268733850129 0.937297523252168 98.842 4 \\\\\n", "9 0.145219638242894 0.782631413940851 102.428 4 \\\\\n", "10 0.197932816537468 0.359389695892988 93.05 4 \\\\\n", "11 0.216537467700258 0.989549587208695 130.103 4 \\\\\n", "12 0.070387596899225 0.52241613543735 135.15 4 \\\\\n", "13 0.037622739018088 0.746054969171282 126.63 4 \\\\\n", "14 0.631007751937984 0.405371512174731 112.214 3 \\\\\n", "15 0.205167958656331 0.36461490228864 112.029 4 \\\\\n", "16 0.136950904392765 0.247570279026022 144.046 4 \\\\\n", "17 0.136950904392765 0.247570279026022 144.046 4 \\\\\n", "18 0.147286821705426 0.287281847632982 132.1 4 \\\\\n", "19 0.207235142118863 0.185912843557321 140.603 3 \\\\\n", "20 0.095607235142119 0.342669035426899 96.07 4 \\\\\n", "21 0.093540051679587 0.186957884836451 110.043 4 \\\\\n", "22 0.056020671834625 0.435677709269516 119.504 4 \\\\\n", "23 0.196899224806202 0.300867384261678 123.09 4 \\\\\n", "24 0.076072351421189 0.320723168565158 112.771 4 \\\\\n", "25 0.048682170542636 0.452398369735605 90.017 4 \\\\\n", "26 0.01922480620155 0.750235134287804 103.811 4 \\\\\n", "27 0.198966408268734 0.143066151112969 93.824 4 \\\\\n", "28 0.044341085271318 0.923711986623472 184.254 4 \\\\\n", "29 0.06687338501292 0.495245062179956 125.991 4 \\\\\n", "30 0.046925064599483 0.876685129062598 155.975 4 \\\\\n", "31 0.293023255813953 0.525551259274741 100.031 4 \\\\\n", "32 0.293023255813953 0.525551259274741 100.031 4 \\\\\n", "33 0.309560723514212 0.60183927265127 91.57 4 \\\\\n", "34 0.07328165374677 0.620650015675619 131.909 4 \\\\\n", "35 0.170025839793282 0.197408297627756 105.421 4 \\\\\n", "36 0.306459948320413 0.493154979621695 112.037 4 \\\\\n", "37 0.097674418604651 0.590343818580834 166.193 4 \\\\\n", "38 0.198966408268734 0.011495454070436 135.568 4 \\\\\n", "39 0.112144702842377 0.818162817431289 147.668 4 \\\\\n", "40 0.190697674418605 0.982234298254781 133.933 4 \\\\\n", "41 0.102842377260982 0.84010868429303 168.032 4 \\\\\n", "42 0.300258397932817 0.638415717420838 79.994 4 \\\\\n", "43 0.101808785529716 0.476434319155607 99.842 4 \\\\\n", "44 0.318863049095607 0.684397533702581 106.972 4 \\\\\n", "45 0.979328165374677 0.337443829031247 108.142 4 \\\\\n", "46 0.248578811369509 0.730379349984324 92.971 4 \\\\\n", "47 0.325064599483204 0.398056223220817 146.553 4 \\\\\n", "48 0.164857881136951 0.729334308705194 95.008 4 \\\\\n", "49 0.357105943152455 0.849514055805204 99.986 4 \\\\\n", "50 0.11421188630491 0.38447068659212 166.21 4 \\\\\n", "51 0.110077519379845 0.335353746472986 133.992 4 \\\\\n", "52 0.055917312661499 0.471209112759954 147.901 4 \\\\\n", "53 0.11937984496124 0.804577280802592 94.858 4 \\\\\n", "54 0.09250645994832 0.326993416239941 79.078 3 \\\\\n", "55 0.089405684754522 0.863099592433901 129.879 4 \\\\\n", "56 0.21343669250646 0.069077228550528 97.964 4 \\\\\n", "57 0.363307493540052 0.664541749399101 84.011 4 \\\\\n", "58 0.363307493540052 0.664541749399101 84.011 4 \\\\\n", "59 0.11937984496124 0.282056641237329 67.152 4 \\\\\n", "60 0.509043927648579 0.339533911589508 101.975 4 \\\\\n", "61 0.243410852713178 0.985369422092173 137.921 4 \\\\\n", "62 0.108010335917313 0.46389382380604 125.018 4 \\\\\n", "63 0.096640826873385 0.402236388337339 178.159 4 \\\\\n", "64 0.325064599483204 0.970738844184345 153.068 4 \\\\\n", "65 0.090439276485788 0.736649597659108 92.544 4 \\\\\n", "66 0.090439276485788 0.736649597659108 92.544 4 \\\\\n", "67 0.094573643410853 0.584073570906051 124.354 4 \\\\\n", "68 0.083204134366925 0.120075242972097 119.804 4 \\\\\n", "69 0.103875968992248 0.925802069181733 169.848 4 \\\\\n", "70 0.177260981912145 0.540181837182569 82.018 4 \\\\\n", "71 0.374677002583979 0.36356986100951 119.002 4 \\\\\n", "72 0.126614987080103 0.295642177866026 83.695 4 \\\\\n", "73 0.359173126614987 0.545407043578221 103.037 4 \\\\\n", "74 0.284754521963824 0.554812415090396 201.077 4 \\\\\n", "75 0.302325581395349 0.353119448218205 117.999 4 \\\\\n", "76 0.089405684754522 0.389695892987773 104.859 4 \\\\\n", "77 0.064392764857881 0.895495872086947 154.912 4 \\\\\n", "78 0.121447028423773 0.409551677291253 195.99 4 \\\\\n", "79 0.005064599483204 0.717838854634758 120.172 4 \\\\\n", "80 0.094573643410853 0.215173999372975 112.996 4 \\\\\n", "81 0.142118863049096 0.537046713345177 90.011 4 \\\\\n", "82 0.1328165374677 0.188002926115582 140.843 4 \\\\\n", "83 0.140051679586563 0.639460758699969 139.08 4 \\\\\n", "84 0.062015503875969 0.750235134287804 99.024 4 \\\\\n", "85 0.180361757105943 0.329083498798203 79.244 1 \\\\\n", "86 0.180361757105943 0.329083498798203 79.244 1 \\\\\n", "87 0.180361757105943 0.329083498798203 79.244 1 \\\\\n", "88 0.180361757105943 0.329083498798203 79.244 1 \\\\\n", "89 0.180361757105943 0.329083498798203 79.244 1 \\\\\n", "90 0.192764857881137 0.823388023826941 173.874 4 \\\\\n", "91 0.192764857881137 0.823388023826941 173.874 4 \\\\\n", "92 0.108010335917313 0.367750026126032 156.074 4 \\\\\n", "93 0.086304909560724 0.614379768000836 160.015 4 \\\\\n", "94 0.07266149870801 0.599749190093009 129.992 4 \\\\\n", "95 0.103875968992248 0.336398787752116 102.03 4 \\\\\n", "96 0.093540051679587 0.679172327306929 80.988 4 \\\\\n", "97 0.07328165374677 0.585118612185181 116.335 3 \\\\\n", "98 0.054470284237726 0.74082976277563 119.973 4 \\\\\n", "99 0.212403100775194 0.251750444142544 91.165 4 \\\\\n", "100 0.066356589147287 0.399101264499948 114.959 4 \\\\\n", " duration_minute release_year artists_followers \\\\\n", "1 0.16825584838614155 0.892857142857143 0.054260076228204 \\\\\n", "2 0.13709357417826473 0.761904761904762 0.471264367816092 \\\\\n", "3 0.12185667752442997 0.952380952380952 0.754219061052589 \\\\\n", "4 0.273349126443589 0.654761904761905 0.116863239398577 \\\\\n", "5 0.13043677820550784 0.976190476190476 0.234066604643718 \\\\\n", "6 0.11935889843055966 0.964285714285714 0.281444134329702 \\\\\n", "7 0.049079804560260586 0.488095238095238 4.0014805478e-05 \\\\\n", "8 0.049079804560260586 0.488095238095238 0.050598721526965 \\\\\n", "9 0.2181026058631922 0.30952380952381 0.006952572451807 \\\\\n", "10 0.15655907610305003 0.726190476190476 0.412122485319568 \\\\\n", "11 0.13327361563517914 0.726190476190476 0.079889559136881 \\\\\n", "12 0.11814184187148356 0.357142857142857 0.13709072356772 \\\\\n", "13 0.10551747112822031 0.69047619047619 0.011314186248912 \\\\\n", "14 0.08186556114894877 0.273809523809524 0.1218750937847 \\\\\n", "15 0.1115383476458395 0.69047619047619 0.167031801766654 \\\\\n", "16 0.1012037311222979 0.988095238095238 0.088432720106439 \\\\\n", "17 0.1012037311222979 0.988095238095238 0.009493512599662 \\\\\n", "18 0.12476532425229493 0.357142857142857 0.016446085051469 \\\\\n", "19 0.3158720758069292 0.380952380952381 0.871872592859358 \\\\\n", "20 0.12826917382291975 0.75 0.772325760531397 \\\\\n", "21 0.11864524726088244 0.904761904761905 0.296119564238768 \\\\\n", "22 0.14881033461652354 0.595238095238095 0.236367455958705 \\\\\n", "23 0.13168492745039975 0.488095238095238 0.118823964867001 \\\\\n", "24 0.13829508439443292 0.75 0.133279313345938 \\\\\n", "25 0.1646231862599941 0.869047619047619 0.106139271530466 \\\\\n", "26 0.12670787681374002 0.988095238095238 0.500745275752028 \\\\\n", "27 0.1389102753923601 0.678571428571429 0.48124806178286 \\\\\n", "28 0.053735564110156946 0.738095238095238 0.933645448816062 \\\\\n", "29 0.11267915309446254 0.821428571428571 0.554095015155608 \\\\\n", "30 0.16598534201954399 0.845238095238095 0.57676340245891 \\\\\n", "31 0.14641693811074918 0.916666666666667 0.15878875183818 \\\\\n", "32 0.14641693811074918 0.916666666666667 0.655912687694447 \\\\\n", "33 0.1745491560556707 0.69047619047619 0.524113922151196 \\\\\n", "34 0.08454249333728162 0.75 0.008092994407931 \\\\\n", "35 0.1468063369854901 0.738095238095238 0.500745275752028 \\\\\n", "36 0.12886141545750665 0.511904761904762 0.57676340245891 \\\\\n", "37 0.12568329878590465 0.714285714285714 0.134369716795214 \\\\\n", "38 0.3539213799230086 0.535714285714286 0.092204115522743 \\\\\n", "39 0.12702546639028722 0.464285714285714 0.38044076308234 \\\\\n", "40 0.13650133254367783 0.94047619047619 0.107039604653722 \\\\\n", "41 0.14748741486526504 0.75 0.196562728209437 \\\\\n", "42 0.1364917086171158 0.952380952380952 0.45162710202775 \\\\\n", "43 0.14871187444477346 0.94047619047619 0.061802867060813 \\\\\n", "44 0.19502517026946994 0.928571428571429 0.324580094635015 \\\\\n", "45 0.3327901984009476 0.833333333333333 0.448856076748397 \\\\\n", "46 0.1436334024281907 0.833333333333333 0.204745755929694 \\\\\n", "47 0.111923304708321 0.821428571428571 0.428858677710753 \\\\\n", "48 0.14033165531536868 0.892857142857143 0.11214149235217 \\\\\n", "49 0.1340405685519692 0.773809523809524 0.515640787091224 \\\\\n", "50 0.21580248741486527 0.833333333333333 0.344017286395967 \\\\\n", "51 0.2535482676932188 0.904761904761905 0.031331592689295 \\\\\n", "52 0.03422120225051821 0.726190476190476 0.706461390714564 \\\\\n", "53 0.07848090020728457 0.380952380952381 0.071516461090604 \\\\\n", "54 0.06504737933076696 0.357142857142857 0.108510148755039 \\\\\n", "55 0.16183002665087357 0.714285714285714 0.319238118103698 \\\\\n", "56 0.1831403612673971 0.523809523809524 0.209407480767884 \\\\\n", "57 0.21421824104234527 0.869047619047619 0.100137050708762 \\\\\n", "58 0.21421824104234527 0.869047619047619 0.07381731240559 \\\\\n", "59 0.06777169084986674 0.333333333333333 0.031211548272861 \\\\\n", "60 0.12464687592537756 0.357142857142857 0.108510148755039 \\\\\n", "61 0.1788865857269766 0.702380952380952 0.128327481168032 \\\\\n", "62 0.1343596387326029 0.988095238095238 0.402879065254144 \\\\\n", "63 0.10011844832691738 0.452380952380952 0.1218750937847 \\\\\n", "64 0.18186704175303522 0.916666666666667 0.030641337294799 \\\\\n", "65 0.09234675747705064 0.488095238095238 0.050598721526965 \\\\\n", "66 0.09234675747705064 0.488095238095238 0.0 \\\\\n", "67 0.10048341723423157 0.678571428571429 0.362624170943249 \\\\\n", "68 0.17577731714539532 0.69047619047619 0.772325760531397 \\\\\n", "69 0.12350681077879774 0.964285714285714 0.74934725848564 \\\\\n", "70 0.09023837725792123 0.321428571428571 0.030581315086582 \\\\\n", "71 0.16263621557595498 0.380952380952381 0.1218750937847 \\\\\n", "72 0.13391767841279242 0.44047619047619 0.129657973450177 \\\\\n", "73 0.1798238081137104 0.738095238095238 0.61224653121655 \\\\\n", "74 0.1490472312703583 0.75 0.150115542750818 \\\\\n", "75 0.12637622149837133 0.345238095238095 0.15351680121645 \\\\\n", "76 0.11837651761918863 0.357142857142857 0.693636645558857 \\\\\n", "77 0.11084468463132958 0.988095238095238 0.277082520532597 \\\\\n", "78 0.16085282795380515 0.511904761904762 0.57676340245891 \\\\\n", "79 0.11963281018655611 0.75 0.448856076748397 \\\\\n", "80 0.1383646727864969 0.976190476190476 0.901893700669248 \\\\\n", "81 0.17425673674859343 0.80952380952381 0.809619559236918 \\\\\n", "82 0.19431448030796564 0.714285714285714 0.005081880295709 \\\\\n", "83 0.09295232454841575 0.726190476190476 0.291177735762232 \\\\\n", "84 0.19896061593129996 0.80952380952381 0.204745755929694 \\\\\n", "85 0.14742819070180632 0.107142857142857 0.01804667727059 \\\\\n", "86 0.14742819070180632 0.107142857142857 0.000110040715065 \\\\\n", "87 0.14742819070180632 0.107142857142857 0.0 \\\\\n", "88 0.14742819070180632 0.107142857142857 0.026709882656583 \\\\\n", "89 0.14742819070180632 0.107142857142857 0.44250372637876 \\\\\n", "90 0.19414791234823808 0.857142857142857 0.522553344737553 \\\\\n", "91 0.19414791234823808 0.857142857142857 0.229124776167182 \\\\\n", "92 0.14541456914421083 0.869047619047619 0.38512249532327 \\\\\n", "93 0.12021468759253776 0.880952380952381 0.36705581064994 \\\\\n", "94 0.12555818774059815 0.94047619047619 0.367315906885548 \\\\\n", "95 0.2071461356233343 0.630952380952381 0.772325760531397 \\\\\n", "96 0.2109860823215872 0.726190476190476 0.706461390714564 \\\\\n", "97 0.11571365116967723 0.607142857142857 0.295509338455228 \\\\\n", "98 0.15379478827361565 0.738095238095238 0.357312205516041 \\\\\n", "99 0.09724607639917086 0.785714285714286 0.030951452037254 \\\\\n", "100 0.1437962688777021 0.976190476190476 0.350179566439583 \\\\\n", " artist_popularity nb_singers estimated_popularity \n", "1 0.5 0.0 40.4301647912923 \n", "2 0.611111111111111 0.0 34.869262824777 \n", "3 0.819444444444444 0.222222222222222 45.0804559629553 \n", "4 0.555555555555556 0.0 30.6638002980626 \n", "5 0.75 0.0 52.0762280321545 \n", "6 0.597222222222222 0.0 45.0804559629553 \n", "7 0.055555555555556 0.111111111111111 2.86773809523809 \n", "8 0.583333333333333 0.111111111111111 10.6410158019808 \n", "9 0.125 0.0 7.30127856572452 \n", "10 0.513888888888889 0.0 24.9533724588221 \n", "11 0.375 0.0 24.9533724588221 \n", "12 0.486111111111111 0.0 13.4855833789985 \n", "13 0.388888888888889 0.0 23.1748101052984 \n", "14 0.472222222222222 0.0 3.61489291707544 \n", "15 0.527777777777778 0.0 24.4145764534479 \n", "16 0.638888888888889 0.111111111111111 52.3733282506672 \n", "17 0.875 0.111111111111111 55.4733496073336 \n", "18 0.208333333333333 0.0 11.5052223490586 \n", "19 0.583333333333333 0.0 14.9059819728965 \n", "20 0.736111111111111 0.0 34.389324210261 \n", "21 0.583333333333333 0.0 40.4301647912923 \n", "22 0.527777777777778 0.0 18.5862492866963 \n", "23 0.333333333333333 0.0 11.7498709352586 \n", "24 0.541666666666667 0.0 34.09439364668 \n", "25 0.611111111111111 0.222222222222222 35.0806689337132 \n", "26 0.763888888888889 0.111111111111111 52.7615971869234 \n", "27 0.583333333333333 0.0 21.3180307423213 \n", "28 0.652777777777778 0.0 25.7209218589767 \n", "29 0.611111111111111 0.0 35.0794305188842 \n", "30 0.583333333333333 0.0 35.0806689337132 \n", "31 0.625 0.222222222222222 40.8800274671513 \n", "32 0.694444444444444 0.222222222222222 40.8800274671513 \n", "33 0.652777777777778 0.0 25.4977094719485 \n", "34 0.333333333333333 0.0 34.4777416980164 \n", "35 0.763888888888889 0.111111111111111 33.8012231517393 \n", "36 0.583333333333333 0.0 14.610474284499 \n", "37 0.430555555555556 0.0 24.4145764534479 \n", "38 0.402777777777778 0.0 11.773544254012 \n", "39 0.583333333333333 0.0 21.6044790501583 \n", "40 0.583333333333333 0.0 45.0804559629553 \n", "41 0.583333333333333 0.0 34.869262824777 \n", "42 0.652777777777778 0.111111111111111 45.0804559629553 \n", "43 0.5 0.0 45.0804559629553 \n", "44 0.555555555555556 0.0 40.8800274671513 \n", "45 0.597222222222222 0.0 33.6127140914514 \n", "46 0.486111111111111 0.0 34.6960824675478 \n", "47 0.597222222222222 0.0 35.0794305188842 \n", "48 0.444444444444444 0.0 40.4301647912923 \n", "49 0.680555555555556 0.0 34.869262824777 \n", "50 0.555555555555556 0.0 35.0794305188842 \n", "51 0.597222222222222 0.111111111111111 40.4301647912923 \n", "52 0.638888888888889 0.0 22.8083311858699 \n", "53 0.402777777777778 0.0 12.3261274758088 \n", "54 0.486111111111111 0.0 13.2248451239649 \n", "55 0.652777777777778 0.0 24.7301600717939 \n", "56 0.583333333333333 0.0 12.780501473184 \n", "57 0.708333333333333 0.222222222222222 35.0794305188842 \n", "58 0.541666666666667 0.222222222222222 35.0794305188842 \n", "59 0.430555555555556 0.0 8.58681052013858 \n", "60 0.486111111111111 0.0 13.190075690601 \n", "61 0.5 0.0 24.4145764534479 \n", "62 0.861111111111111 0.111111111111111 55.9854708194548 \n", "63 0.472222222222222 0.0 11.6068359628288 \n", "64 0.513888888888889 0.0 40.8800274671513 \n", "65 0.583333333333333 0.111111111111111 10.4222738664969 \n", "66 0.013888888888889 0.111111111111111 2.86773809523809 \n", "67 0.75 0.0 22.0225455927807 \n", "68 0.736111111111111 0.0 25.4977094719485 \n", "69 0.902777777777778 0.222222222222222 45.0804559629553 \n", "70 0.430555555555556 0.0 5.49629465913261 \n", "71 0.472222222222222 0.0 13.190075690601 \n", "72 0.5 0.0 13.7043253144824 \n", "73 0.625 0.0 25.7209218589767 \n", "74 0.555555555555556 0.0 34.09439364668 \n", "75 0.486111111111111 0.0 13.190075690601 \n", "76 0.638888888888889 0.0 15.3641314115338 \n", "77 0.75 0.0 51.9031221393765 \n", "78 0.583333333333333 0.0 14.9059819728965 \n", "79 0.597222222222222 0.0 34.09439364668 \n", "80 0.847222222222222 0.0 42.9220527846565 \n", "81 0.638888888888889 0.0 34.8690265263156 \n", "82 0.166666666666667 0.0 24.4145764534479 \n", "83 0.555555555555556 0.0 24.637788840476 \n", "84 0.486111111111111 0.0 34.4856784749792 \n", "85 0.402777777777778 0.444444444444444 1.87941937277902 \n", "86 0.111111111111111 0.444444444444444 0.47034210575268 \n", "87 0.069444444444444 0.444444444444444 0.47034210575268 \n", "88 0.652777777777778 0.444444444444444 1.87941937277902 \n", "89 0.597222222222222 0.444444444444444 1.3571971505568 \n", "90 0.694444444444444 0.222222222222222 35.4709516456447 \n", "91 0.513888888888889 0.222222222222222 35.4709516456447 \n", "92 0.583333333333333 0.0 33.9973005576168 \n", "93 0.680555555555556 0.0 40.4301647912923 \n", "94 0.625 0.0 45.0804559629553 \n", "95 0.736111111111111 0.0 26.8362368045648 \n", "96 0.638888888888889 0.0 26.0365054773228 \n", "97 0.597222222222222 0.0 21.0755577778261 \n", "98 0.652777777777778 0.0 24.637788840476 \n", "99 0.541666666666667 0.111111111111111 31.9652849415299 \n", "100 0.680555555555556 0.111111111111111 52.5464341434452 \n", "Rows: 1-100 | Columns: 26" ] }, "execution_count": 47, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from verticapy.learn.ensemble import RandomForestRegressor\n", "\n", "# define the model\n", "rf_model = RandomForestRegressor('spotify.randomforest_spotify', **hyperparams)\n", "\n", "# train the model\n", "rf_model.fit(polish_tracks, predictors, response) \n", "\n", "# use the model to predict\n", "rf_model.predict(polish_tracks, \n", " name = 'estimated_popularity')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "View the regression report and the importance of each feature." ] }, { "cell_type": "code", "execution_count": 48, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
value
explained_variance0.856500452337576
max_error35.5696078431373
median_absolute_error3.91965797527483
mean_absolute_error4.76133210498922
mean_squared_error39.2157935438824
root_mean_squared_error6.262251475618206
r20.856498475694773
r2_adj0.8560006054476506
aic13827.520352964559
bic13914.66239558891
Rows: 1-10 | Columns: 2
" ], "text/plain": [ " value \n", "explained_variance 0.856500452337576 \n", "max_error 35.5696078431373 \n", "median_absolute_error 3.91965797527483 \n", "mean_absolute_error 4.76133210498922 \n", "mean_squared_error 39.2157935438824 \n", "root_mean_squared_error 6.262251475618206 \n", "r2 0.856498475694773 \n", "r2_adj 0.8560006054476506 \n", "aic 13827.520352964559 \n", "bic 13914.66239558891 \n", "Rows: 1-10 | Columns: 2" ] }, "execution_count": 48, "metadata": {}, "output_type": "execute_result" } ], "source": [ "rf_model.regression_report()" ] }, { "cell_type": "code", "execution_count": 49, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
importance
sign
release_year90.241
artist_popularity5.211
instrumentalness1.981
artists_followers0.541
loudness0.541
acousticness0.311
energy0.31
speechiness0.241
duration_minute0.211
nb_singers0.131
valence0.131
danceability0.11
liveness0.091
Rows: 1-13 | Columns: 3
" ], "text/plain": [ " importance sign \n", "release_year 90.24 1 \n", "artist_popularity 5.21 1 \n", "instrumentalness 1.98 1 \n", "artists_followers 0.54 1 \n", "loudness 0.54 1 \n", "acousticness 0.31 1 \n", "energy 0.3 1 \n", "speechiness 0.24 1 \n", "duration_minute 0.21 1 \n", "nb_singers 0.13 1 \n", "valence 0.13 1 \n", "danceability 0.1 1 \n", "liveness 0.09 1 \n", "Rows: 1-13 | Columns: 3" ] }, "execution_count": 49, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "rf_model.features_importance()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To see how our model performs, let's plot the popularity and estimated popularity of songs by other Polish artists like Brodka, Akcent, and Maanam." ] }, { "cell_type": "code", "execution_count": 51, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 51, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAiMAAAJ/CAYAAACqZtM9AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8QVMy6AAAACXBIWXMAAAsTAAALEwEAmpwYAABmIUlEQVR4nO3deZyN5f/H8ddnhjGYsa9ZI3uR0L5okzaKyBKVihYSKm2/1m/7t4U2rUoo9S2RNm3aN0ukRUWEKNmHMevn98d9RkODwZy5Z+a8n4/HPJz7OufM9eYxMz5z3ddi7o6IiIhIWOLCDiAiIiKxTcWIiIiIhErFiIiIiIRKxYiIiIiESsWIiIiIhErFiIiIiISqVGF2Vq1aNW/YsGFhdikiIjswa9asv929etg5RAq1GGnYsCEzZ84szC5FRGQHzGxJ2BlEQLdpREREJGQqRkRERCRUKkZEREQkVCpGREREJFQqRkRERCRUKkZEREQkVCpGREREJFQqRkRERCRUKkZEREQkVIW6A6uIiIQvNTWVyZMnA9QOO4sIqBgREYkp33zzDV1PPonWSVCrTNw+YecRAd2mERGJGampqXQ9+SQe3S+bt9qWpk5Z/RcgRYO+EkVEYsTkyZNpnQRda5cJO4rINlSMiIjEiIULF9IuMSPsGCL/omJERCRGNKqYyKx1Kkak6FExIiISA/ynb+j25RPMW5/BlBVpYccR2YaKERGREs7nfAg39yAxdQOvDejMpb/GcfKcDJanZocdTQRQMSIiUqL5Z1Pgjn6QlgrH9aLD6CksXLqc/nc8zMq07D/CzicCKkZEREosf2cc3DcIMjOgy8Vw2QNYfCnKli1Lnz59AFaEnVEEtOmZiEiJ4+7wyiiYcGfQcM510O1yzCzcYCI7oGJERKQE8exseO4WmDoGzGDQPdhJ/cOOJbJTKkZEREoIz8qER4bDh5OgVGm44hHsiK5hxxLZJRUjIiIlgKdvCeaHfP02lCkLI8dibY8NO5ZIvqgYEREp5nzzRrizP8z/HJIqwQ0TsGbtw44lkm8qRkREijFf/zfc1gcWzoXKNeGmSViDFmHHEtktKkZERIopX7UMbu4JfyyEWg3h5pewmg3CjiWy27TPiIhIMeRLf4ZrTw8KkYat4I7XVYhIsaWRERGRYsZ/mRPcmtm4BlocAtc/j5WvGHYskT2mYkREpBjxeR/DnefBlk3Q7gS46kmsTLmwY4nsFRUjIiLFhH/5ZmR793Q4ujsMGYWVKh12LJG9pmJERKQY8PcmwmMjIDsbTr0ABvwHi9O0PykZVIyIiBRx/tqjwRbvAL2ugp4jdM6MlCgqRkREiih3h+f/A5MfDhouvB079cJwQ4lEQb6KETNbDGwEsoBMd29vZvcCpwPpwELgfHdfF6WcIiIxxbOyYMxV8N4EiC8VzA855qywY4lExe7ccDzW3Q9095w9ht8F9nf31sDPwLUFnk5EJAZ5RhrcNzAoRBIS4ZpnVYhIibbHs5/cfbq7Z0YuvwTqFkwkEZHY5amb4PZz4ItpUK4C3PQS1v7EsGOJRFV+ixEHppvZLDMbmMfzA4C3Ci6WiEjs8Q1r4KbuMPdjqFQd/vMa1vKQsGOJRF1+J7Ae6e7LzawG8K6Z/eTuHwOY2fVAJjAhrzdGipeBADVr1mTGjBl7n1pEpIRJSFlD68m3U37NMlIrVGde1xvYsmQVLJkRdjSRqDN33703mN0MpLj7f83sPGAQcLy7b97Ve9u3b+8zZ87ck5wiIiWWL18It5wNq5ZCvWbBgXdVakW9XzOblWseoEhodnmbxszKm1lyzmOgEzDfzDoDVwNd8lOIiIjIv/mi7+C604NCpGk7uH1KoRQiIkVJfm7T1AQmRzbYKQVMdPe3zexXoAzBbRuAL9394qglFREpYfz7L+COfrB5IxzYEUY+gyWWDzuWSKHbZTHi7ouANnm07xeVRCIiMcC/eQf+OxDSt8ARXWDoI1jphLBjiYRCO7CKiBQyn/EyPDQUsrOgU38YeBcWHx92LJHQqBgRESlE/voT8Mz/BRdnXQF9rtE5MxLzVIyIiBQCd4cX7oGX7w8azrsF66ppdiKgYkREJOo8OxuevA7eHgtx8XDZ/dhxvcKOJVJkqBgREYkiz0iH0UPg09egdBkY8Th2yMlhxxIpUlSMiIhEiadthrsvgDkfQNkkuG4ctv8RYccSKXJUjIiIRIGnrAsOvPvpG6hQFW58AWv8r10SRAQVIyIiBc7X/Am3ng1LfoRqdYLt3etoayaRHVExIiJSgHzlYri5J/y5BOo0gZsnYdXqhB1LpEjb5dk0IiKSP774++CcmT+XwH4Hwh1TVIiI5INGRkRECoD/+HUwR2TTejjgSLj2OaxsUtixRIoFFSMiInvJZ38Adw+A9FQ45BQY/hiWkBh2LJFiQ8WIiMhe8E8mw6jBkJUJJ/SBi+/F4vWjVWR36DtGRGQP+dvPwhPXgDuccRn0/z+dMyOyB1SMiIjsJneHlx+AF+4OGvrdgHUbEm4okWJMxYiIyG7w7GwYeyNMexLi4mDQPVinfmHHEinWVIyIiOSTZ2bAI8NgxstQKgGGPYodfnrYsUSKPRUjIiL54GmpcN9A+GY6JJaDa57F2hwTdiyREkHFiIjILvimDXBHf/jhC0iqDP83EWt6UNixREoMFSMiIjvh61bBbb1h0XdQtTbcNAmr1yzsWCIliooREZEd8L9+h5vPhhWLoHaj4JyZGvXDjiVS4qgYERHJgy9dALecDatXwL77w40vYJVqhB1LpERSMSIish3/eRbc1hdS1kLLw+C6cVj5CmHHEimxVIyIiOTicz+Cu86DLZuhQycY8QRWpmzYsURKNBUjIiIR/sU0uP8SyEyHjj3gsgewUqXDjiVS4qkYEREBfPrz8PjVkJ0Np10E59+KxcWFHUskJqgYEZGY568+BM//J7joPRJ6DNOBdyKFSMWIiMQsd4dxt8Frj4AZXHQndvL5YccSiTkqRkQkJnlWJjx2Jbz/AsSXgqEPYUd1CzuWSExSMSIiMcfTtwQTVb96ExLKwshnsIOOCzuWSMxSMSIiMcVTU+DOc+G7T6F8RbhhAta8Q9ixRGKaihERiRm+YTXc1gd+/RYq14AbX8Qatgo7lkjMUzEiIjHB/14enDOz/Beo2QBufgmr1TDsWCKCihERiQG+/Fe4uSf8vRwatIAbJ2FVaoYdS0QiVIyISInmC+fCrb1hw2po3gGuH48lVQo7lojkomJEREosn/8Z3NEfUlOg7XFw9VNYYvmwY4nIdlSMiEiJ5F+9BfcNgow0OOpMGDIaK50QdiwRyYOKEREpcfyDSfDIMMjOgs7nw0V36JwZkSIsX8WImS0GNgJZQKa7tzezKsAkoCGwGOjp7mujE1NEJH98yhh49qbgosdw6H21zpkRKeJ251eFY939QHdvH7m+Bnjf3ZsA70euRURC4e74+Dv+KUQG3Ib1GalCRKQY2Jtxy67Ac5HHzwFn7HUaEZE94FlZMOZqeGUUxMXD0Iex0weGHUtE8im/xYgD081slpnlfIfXdPcVkccrAS3aF5FC5xnp8MDFMH0cJCTCNWOxjj3CjiUiuyG/E1iPdPflZlYDeNfMfsr9pLu7mXleb4wULwMBatasyYwZM/Ymr4jIVnEZW2g17T6q/D6PzISyzO9yNes3lQH9nBEpVsw9zxpix28wuxlIAS4COrr7CjOrDcxw92Y7e2/79u195syZe5pVRGQr37gW/tMXfp4FFasF58w0OiDsWMWKmc3KNQ9QJDS7vE1jZuXNLDnnMdAJmA9MBc6NvOxcYEq0QoqI5OZrVsINZwSFSPV6cMfrKkREirH83KapCUyOzEgvBUx097fN7BvgJTO7AFgC9IxeTBGRgK/4DW7uAX8thXrNghGRavuEHUtE9sIuixF3XwS0yaN9NXB8NEKJiOTFf/sebj0b1q2CJm3hholYhSphxxKRvaQdWEWkWPAfvoLbz4HNG6DN0TDyWayszpkRKQlUjIhIkeez3oN7LoT0VDjsdBj2CFa6TNixRKSAqBgRkSLNP/ofPDQUsjLhxHNg0D1YfHzYsUSkAKkYEZEiy998Gp68LrjoNgTOuV7bu4uUQCpGRKTIcXd46T548d6gof+N2JmXhRtKRKJGxYiIFCmenQ1PXw9vPgNxcXDJfdgJfcKOJSJRpGJERIoMz8wI5od8/AqUSoARj2OHnhJ2LBGJMhUjIlIkeNpmuPcimPUeJJaHa5/DWh8VdiwRKQQqRkQkdL5pPdzeD378CpKrwP9NxJq0DTuWiBQSFSMiEipf+xfc2gsWfw9V94GbJmH1moYdS0QKkYoREQmN/7kEbu4JKxfDPo3h5pew6nXDjiUihWyXp/aKiESDL/kRrj09KEQatYY7pqoQEYlRGhkRkULnC2bCf/pCyjrY/3C4dhxWLjnsWCISEhUjIlKo/NsZcNd5kJYKB3cOlu8mJIYdS0RCpGJERAqNfzYFHrwMMjPguF5w6X1YvH4MicQ6/RQQkULh74yDx68Gd+hyMZx7ExanaWsiomJERKLM3eGVUTDhzqCh77XQfagOvBORrVSMiEjUeHY2PHcLTB0DZjDoHuyk/mHHEpEiRsWIiESFZ2XCoyPggxehVGm44hHsiK5hxxKRIkjFiIgUOE/fAvcNgq/fhjJlYeRYrO2xYccSkSJKxYiIFCjfvBHu7A/zP4ekSnDDBKxZ+7BjiUgRpmJERAqMr/8bbusDC+dC5ZrBOTMNWoQdS0SKOBUjIlIgfNWy4JyZPxZCrYbBOTM1G4QdS0SKAS3yF5G95kt/Ds6Z+WMhNGwFd7yuQkRE8k0jIyKyV/zXb+HW3rBxDbQ4BK5/HitfMexYIlKMqBgRkT3m8z6BO8+FLZug3Qlw1ZNYmXJhxxKRYkbFiIjsEf/yzWD5bmY6HN0dhozCSpUOO5aIFEMqRkRkt/l7E+GxEZCdDadeAAP+o3NmRGSPqRgRkd3irz0abPEO0Osq6DlC58yIyF5RMSIi+eLu8Px/YPLDQcOFt2OnXhhuKBEpEVSMiMgueVYWPH41vDse4ksF80OOOSvsWCJSQqgYEZGd8ow0eOAy+OJ1SEiEq57C2p8YdiwRKUFUjIjIDnnqJrj7fJj7EZSrANePx1oeEnYsESlhVIyISJ58wxr4Tx/4ZQ5Uqg43TsL2bRV2LBEpgVSMiMi/+OoVcMvZsHQB1KgHN7+M1d437FgiUkKpGBGRbfjyhUEhsmop1GsWHHhXpVbYsUSkBFMxIiJb+aLvgkJkw2po2g5umIAlVw47loiUcCpGRAQA//4LuKMfbN4IB3aEkc9gieXDjiUiMSDf+zebWbyZzTGzaZHr481stpl9a2afmtl+0YspItHk37wDt/YKCpEjusB1z6sQEZFCszuHSQwFfsx1/RjQ190PBCYCNxRgLhEpJD7jZbjrfEjfAp36w7AxWOmEsGOJSAzJVzFiZnWBU4GncjU7UCHyuCLwR8FGE5Fo89efgFGDITsLug+Fi+/B4uPDjiUiMSa/c0YeBK4GknO1XQi8aWapwAbg0IKNJiLR4u7wwj3w8v1Bw3m3YF0vDjeUiMSsXRYjZnYa8Je7zzKzjrmeGgac4u5fmdlVwP0EBcr27x8IDASoWbMmM2bMKIDYIrLHPJv9ZoylzrzpuMWx4IRB/FmxOeh7U0RCYu6+8xeY3Qn0AzKBRIJbMx8Czd29ceQ19YG33b3lzj5X+/btfebMmQWRW0T2gGekw0OXwyeToXQZGPE4dsjJYceSkJjZLHdvH3YOkV3OGXH3a929rrs3BHoBHwBdgYpm1jTyshPZdnKriBQxnrYZ7jovKETKJsGNL6gQEZEiYY/2GXH3TDO7CHjFzLKBtcCAAk0mIgXGU9bB7efAT99AhapBIdK4TdixRESA3SxG3H0GMCPyeDIwueAjiUhB8jV/wq1nw5IfoVqdYHv3OtoWSESKDu3AKlKC+crFcHNP+HMJ1GkCN0/CqtUJO5aIyDZ2Z9MzESlGfMkPcN3pQSGy34FwxxQVIiJSJGlkRKQE8p++gf/0hU3r4YAj4drnsLJJYccSEcmTihGREsZnfwB3D4D0VDjkFBj+GJaQGHYsEZEdUjEiUoL4J5OD7d2zMuH43nDJf7F4fZuLSNGmn1IiJYS//Sw8cQ24Q9dL4dwbMbOwY4mI7JKKEZFizt3h5QfghbuDhn43YN2GhBtKRGQ3qBgRKcY8OxvG3gjTnoS4OBh0D9apX9ixRER2i4oRkWLKMzPgkeEw4yUolQDDHsUOPz3sWFLMzZo1q0apUqWeAvZH2z9IwcgG5mdmZl7Yrl27v/J6gYoRkWLI01LhvoHwzXRILAfXPIu1OSbsWFIClCpV6qlatWq1qF69+tq4uLidn6Qqkg/Z2dm2atWqlitXrnwK6JLXa1T1ihQzvmkD3No7KESSKsMtr6gQkYK0f/Xq1TeoEJGCEhcX59WrV19PMNqWJ42MiBQjvm4V3NYbFn0HVWvDTZOwes3CjiUlS5wKESloka+pHQ6AaGREpJjwv36H67oEhUjtRnDHVBUiUiLVqVPngAULFiQcfPDBhfYFPnr06Kr9+/evvzvv+fjjj8udd9559QCmTZuW/O6775bf1Xu6d+/ecNq0ackHH3xwswULFiTsad6SRiMjIsWAL10At5wNq1fAvvvDjS9glWqEHUuElJQUGz9+fOWFCxeWady4cVr//v3XlitXrsSPrGRkZHD00UdvPvroozcDfPDBB8lJSUlZJ5544qawsxVHGhkRKeL859lwXdegEGl5GNw2WYWIFAkfffRRucb16rR59fZrGiS8/tg+r95+TYN969Ru89FHH5Xbm89buXLlzPj4eK9UqVImBKMWxx9/fOODDz64WYMGDfYfMWJE7ZzX3nzzzTWbNGnSqkmTJq1uvfXWGgALFixI2HfffVt16dJl30aNGrXq3Llzo40bN8ZBMOqyYsWKUhCMbOQ1+jJx4sSKrVu3bt6iRYuWhx9+eNOlS5eWAhg+fPg+Z5xxxr4HHXRQ827duu07bdq05GOPPXa/BQsWJIwbN676mDFjajZv3rzl22+/nVSnTp0D0tLSDGDNmjVxOdcVKlTIKlOmTHalSpUy4+PjS3zRll8aGREpwnzuR3DXebBlM3ToBCOewMqUDTuWCCkpKdbzjC5NH29m8V1rlwHKAMRNWZFGzzO6NP1t+Yq5ezpCMn/+/B8Bpk+fvjCnbd68eeW/++6775OSkrLbtm3bsmvXruvNjIkTJ1adNWvWj+5Ou3btWhx//PEbq1WrlrV48eLExx9/fHGnTp029ejRo+G9995b/dZbb/0zP/2feOKJKb169fopLi6O+++/v9qtt95a68knn1wG8MsvvyR+9dVXPyUlJfm0adOSAZo1a5bev3//VUlJSVk5fRx22GEbX3rppYr9+vVb98wzz1Q55ZRT1pYpU8bHjh27NNLHwh0niD0qRkSKKP9iGtx/CWSmQ8cecNkDWKnSYceSGOJn1my3o+emLN1C24QtdK1daZv2rrXLMOa3dfGTj659UJ96eR/QaJP/nLW7WY488sgNtWrVygI49dRT186YMSPJzDjllFPWVahQITun/cMPP0zu0aPHulq1aqV36tRpE0C/fv1Wjx49ugaQr2Lkt99+SzjjjDPqrlq1qnR6enpcvXr10nKe69y587qkpKRdFlkDBw5cdffdd9fq16/fuvHjx1d78sknF+/u3zmW6DaNSBHk05+H/14UFCKnXQRDRqsQkSJl4aYs2lXK+/fZgyqVYtHmrALtb/tzlnZ17tKOXh8fH+/Z2dkApKam5vl/4ODBg+tfeumlf/38888/PPzww0vS0tK2vq58+fLZ+cnbqVOnTcuWLSszbdq05KysLOvQocOW/LwvVmlkRKSI8Vcfguf/E1z0Hgk9hunAOwnFzkYwaowZU+XV269pQB6/1M7cXDq72/V3LbGLL15TUFk+/fTTCn/++Wd8+fLls998881KTz311OK4uDgGDBjQ8Lbbblvp7rz55puVn3322UUAK1asSHjvvffKn3DCCZsmTJhQ5fDDD08BqFu3bvpnn31WrmfPnhteeumlynn1tXHjxvj69etnADz77LNV85MvOTk5a8OGDfG523r16rV6wIAB+44YMWLF3v3tSz6NjIgUEe6OP3drUIiYwcC7sJ7DVYhIkdS/f/+1c1Pcp6xI26Z9yoo05qa49+/ff21B9te6detNXbp0adyqVatWp59++tqjjz5685FHHrm5T58+qw866KAW7dq1a9GvX79VRxxxRCpAw4YNtzz00EM1GjVq1GrdunWlrrzyylUAN9544x9XX311/f3337/FjiaQXn/99X/07t27catWrVpUrVo1Mz/5unfvvu6NN96olDOBFeCCCy5YvWHDhlIXXHBBgRVlJZW5F95k3vbt2/vMmTMLrT+R4sKzMmHMVfDeRIgvBUMfwo7qFnYsKeHMbJa7t8/dNnfu3MVt2rT5Oz/v/+ijj8r1PKNL0zZJZu3LZ8bN3FQqe26K+0uvTf35mGOO2VxQOUePHl115syZ5ceNG/d7fl6/YMGChNNOO63JL7/88n1BZdgTY8eOrTxlypRKr7322m9h5igq5s6dW61NmzYN83pOt2lEQubpW+CBS+HLNyChLIx8BjvouLBjiezSMcccs3nh0uVzx48fX3nRokVlujVqlPZajOwzsivnnntuvQ8//LDitGnTfgk7S3GgkRGREHlqCtx5Lnz3KZSvCDdMwJp3CDuWxIi9HRkR2R0aGREpgnzDaritD/z6LVSuATe+iDVsFXYsEZFCp2JEJAT+93K4+WxY/gvUbAA3vYTVbhh2LBGRUKgYESlkvvxXuLkn/L0cGrSAGydhVWqGHUtEJDQqRkQKkS+cB7f2gg2roXkHuH48llQp7FgiIqFSMSJSSHz+Z3BHf0hNgbbHwdVPYYm7PHFcRKTE06ZnIoXAv3oLbu0dFCJHnQnXPqdCREqElJQUGzNmTJWrrrqq9pgxY6ps3rx5r3fpq1OnzgELFixIyOtE3fy45pprauW+btu2bfO9zQQwbdq05HfffXe3v3FznxQchgULFiQ0adJkt2fH5/y7LViwIGHMmDFVdvX60aNHVx0+fPg+w4cP32f06NH52rk2h4oRkSjzDybBPRdARhp0Ph+ueBQrnRB2LJG99tFHH5WrU7dumxtuvKnB2PET9rnhxpsa1N5nnzYfffRRuTBzjR49unbu6zlz5vxUEJ/3gw8+SP7kk0+SCuJzFWUZGRnAP/9uv/zyS5lJkybtshjZGypGRKLIp4yBhy6H7CzoMRwG3onF6dtOir+UlBTr0rVr06Qq1eKr1q0XV7X2PlStWy8uqUq1+C5duzbdmxGSypUrZ8bHx3ulSpUyATIzMxk0aFDd/fffv0XTpk1b3nvvvdUAlixZUrp9+/bNmjdv3rJJkyat3n777aRLL720TlpaWlzz5s1bdunSZV+AcuXKtYVgZKNDhw7Njj/++MZ169Y94NJLL63z2GOPVTnggANaNG3atOX3339fBmDixIkVW7du3bxFixYtDz/88KZLly4ttWDBgoRx48ZVHzNmTM2cLd//+OOPUieddFLj/fffv8X+++/fYvr06eUBVq5cGX/EEUc02W+//VqdffbZDXa2n9eCBQsS9t1331ZdunTZt1GjRq06d+7caOPGjXEAU6ZMSW7RokXLpk2btuzRo0fD1NRUg2Ck5eKLL67btGnTlgcccECL+fPnlwHo3r17w7Fjx249byfn7719f+3atWvWsmXLFi1btmyRM9Izbdq05Hbt2jU77rjj9mvSpMn+ud9//fXX15k5c2ZS8+bNW95yyy012rdv3+zzzz8vm/M527Vr1+yLL74oW7Zs2eykpKSspKSkrLJly+brQMEcmjMiEgXuDhPvgv89GDQMuA07fWComUR2V7OD2rfb0XMb1qwhM9tJqlRpm/akSpVY9/eq+MYt9z+oQpW8f5leMHvmDg/gA5g/f/6PANOnT18I8OCDD1arWLFi1vz5839MTU21Dh06ND/99NM3vPDCC5WPP/749XfffffKzMxMNm7cGNe5c+eUZ599tsZPP/30Q16f+6effio7f/7872vUqJHZoEGDA8qUKfP3d9999+Ntt91W47777qvxzDPPLD3xxBNTevXq9VNcXBz3339/tVtvvbXWk08+uax///6rkpKSsm699dY/AU4//fR9hw8f/udJJ52U8ssvvyScdNJJTRYtWvT9Nddcs89hhx2W8t///nfFiy++WPGll16qtrO/7+LFixMff/zxxZ06ddrUo0ePhvfee2/1a6655q9BgwbtO3369AWtW7dOO/PMMxvee++91W+88ca/ACpWrJgZOVW46pAhQ+p9+OGHv+6sjxz77LNP5ieffPJzuXLl/LvvvivTu3fvRjn/3j/88EO5OXPmfN+8efP03O+5/fbbl9933301c/qoUqVK1lNPPVXt8MMPXzpv3rwyaWlpcYcddljqYYcdlpqfDHlRMSJSwDwrC568Ft55DuLiYcgorGOPsGOJFKiM9DQSy+V9NyaxXDky0tPyfG5PvPfeexV++umnclOnTq0Mwam6P/zwQ+Khhx66adCgQQ0zMjLizjrrrLWHH374Lv8zPOCAAzY1aNAgA6B+/fppJ5988nqANm3apH700UfJAL/99lvCGWecUXfVqlWl09PT4+rVq5fnX+azzz6r8Msvv2wdIUhJSYlfv3593Jdffpn86quv/grQq1ev9YMGDcraWaZatWqld+rUaRNAv379Vo8ePbrG3LlzN9StWzetdevWaQDnnXfe6kceeaQG8BfAueeeuwbgoosuWnPDDTfU29XfO0d6erpdcMEFDX744YeycXFxLFmypEzOc61bt960fSGSl/POO2/tvffeWzstLW3ZmDFjqvXp02evd+xVMSJSgDwjHUYPhk+nQEIiXPkE1uGksGOJ7JGdjWCMGTOmyg033tSAPG73W3Z29n9uvmnJxRdfXCCn1bq73Xfffb937959w/bPffzxxwteeeWVigMGDNh38ODBfw4ePHj1zj5XmTJltt4ziYuLIzEx0XMeZ2VlGcDgwYPrDx06dGXfvn3XT5s2LfnWW2/dZwe5mD179o97exbP9idz5+ek7rhct3vNzAFKlSrlWVlB3ZOVlUVGRsa/PtHtt99es0aNGhmvvPLKb9nZ2ZQtW3br6Fe5cuXydWslOTk5+6ijjtowceLESlOnTq0yZ86cPEehdoduXosUEN+yCe7oFxQi5ZKD7d1ViEgJ1b9//7UZ6Wmesm7dNu0p69aRkZ7m/fv3X1tQfZ144onrH3vsseppaWkGMG/evDIbNmyI+/nnnxPq1q2bMWLEiL/79++/avbs2eUg+E8557V7YuPGjfH169fPAHj22We3rgpJTk7O2rhxY3zO9ZFHHrnhzjvvrJFznTOP4tBDD92Y876XXnqpwoYNG+LZiRUrViS899575QEmTJhQ5fDDD09p06bNluXLlyfkzAcZN25c1aOOOmpjznvGjRtXBeDpp5+u3LZt200ADRo0SJ81a1Y5gIkTJ1bKzMz817/B+vXr42vXrp0RHx/Po48+WjWneNmZihUrZqWkpGzzd7j44ov/HjlyZL02bdpsql69+q4/yS6oGBEpAL5xLdzUA76dARWqwm2TsVaHhR1LJGrKlSvnU6dM+Tllzd9Zq5ctzV694g9WL1uanbLm76ypU6b8XJAn9w4bNuzv5s2bbznggANaNGnSpNVFF13UICMjw955553kFi1atGrRokXLV155pcrVV1/9J0Dfvn1XtWjRYusE1t11/fXX/9G7d+/GrVq1alG1atXMnPbu3buve+ONNyrlTGB94oknls6ePbt806ZNWzZu3LjVww8/XB3grrvu+uOzzz5L2m+//Vq9+uqrlWvXrr3TWx8NGzbc8tBDD9Vo1KhRq3Xr1pW68sorV5UrV87HjBmzuEePHo2bNm3aMi4ujiuvvHJVznvWrl0b37Rp05aPPvpozdGjRy8FGDJkyKrPP/88uVmzZi0///zz8nlNIr3iiiv+euGFF6o2a9as5U8//ZSYn4mmBx98cGp8fLw3a9as5S233FID4Kijjtpcvnz5rPPPP79ADlXUqb0ie8nXrIRbzobff4LqdYNzZuo0DjuWyC4VxKm9KSkpNn78+MqLFi0q06hRo7T+/fuvLchCpKRbsGBBwmmnndbkl19++T6/76lTp84BM2fO/LF27dqZu351dCxevLh0x44dmy1cuHB+fPxOB3620qm9IlHiK36Dm3vAX0uhXrPg1ky1PG8vi5RISUlJXlBzQ6R4ePjhh6v+5z//qXPHHXcszW8hsiv5LkbMLB6YCSx399MsmGHzH6AHkAU85u6jCySVSBGVmprK5MmTWbhwIY2Sy9Bt1rMkpqyGJm3hholYhajuCyQixdTKlSvjO3bs+K8dZWfMmLFgd0ZFAJYvX/5dwSXbfYMHD169q4nCu2t3RkaGAj8CFSLX5wH1gObunm1mNXb0RpGS4JtvvqHrySfROgnaJabz/NoMrtqQyWvndKTDLa9gZbW9u4jkrVatWlk72vtE8lmMmFld4FTgdmB4pPkSoI+7ZwO4+19RSShSBKSmptL15JN4dL9sutYuA5QGYMqKNM6YPIdFD8WTGG5EkYKSnZ2dbXFxcZr3IQUmOzvbgB1Ols3vapoHgau3+0SNgbPNbKaZvWVmTfY4pUgRN3nyZFqXJ1KI/KNr7TK0ToJXX301pGQiBW7+qlWrKkb+8xDZa9nZ2bZq1aqKwPwdvWaXIyNmdhrwl7vPMrOOuZ4qA2xx9/Zm1g14Bjgqj/cPBAYC1KxZkxkzZuzO30EkdHGZ6Xw97mHaJaaRMyKSW9vEdN5//3322UcTV6X4y8zMvHDlypVPrVy5cn+0/YMUjGxgfmZm5oU7ekF+btMcAXQxs1OARKCCmY0HlgE5vw5OBsbm9WZ3fwJ4AoKlvR07dsx3epEweWYGfPACTLqPpX8v5vl1ea+im7Mlgf7HH4++tqUkaNeu3V9Al7BzSGzZZdXr7te6e113bwj0Aj5w93OA14BjIy87Bvg5WiFFCpNnZ+OfTIbLj4LHroI1K+l2xEHMSy/DlBXbHlExZUUa81KgW7duIaUVESn+9mafkbuACWY2DEgBdjj8IlIcuDvM/gAm3AG/RW5t1m4Efa8h8bDTmXLOLLqefBJjVmZwUGIGs7eUZl5KHFPeeofERE1fFRHZU9qBVQTwH7+G8bfDD18GDVVrQ88RcFwvrNQ/80Ry9hlZtGgRjRo1olu3bipEpNjKawdWkTBoB1aJab74exh/B8x6L2hIqgxnDYXO52Flyv7r9WXLlqVPnz6FnFJEpGRTMSIxyVcshhfvhk8mgzskloPTL4aul2DlK+zy/SIiUnBUjEhM8TV/wsv3w7vjISsTSiVA53Oh+1CsUvWw44mIxCQVIxITPGUdvPoQvPE0pKdCXBwc1wvOvhKrUS/seCIiMU3FiJRovmUTvPEUTH4ENq0PGg85Bfpeg9X715lVIiISAhUjUiJ5RnpwK+bl+2HdqqCx9VHQ9zqs6UHhhhMRkW2oGJESxbOygkmpL94Nf/4eNO53IJxzHdbmmFCziYhI3lSMSIng7jBzerBM9/efgsa6TaHPNXDoKZjpzC8RkaJKxYgUez7/82DDsgWRDfWq14Wzr4SOPbB4fYmLiBR1+kktxZYvnBds3T7nw6ChQlU46wrofC5Wukyo2UREJP9UjEix48sXwgt3wWdTg4aySdD1UugyCCubFG44ERHZbSpGpNjwv/+ASf+FD16E7CwoXQZOGQDdhmAVqoYdT0RE9pCKESnyfMPqYMOyN5+BjDSIi4cT+sLZI7BqdcKOJyIie0nFiBRZnpoCUx+HKY9CakrQeEQX6H0NVqdxuOFEirGc06eB2mFnEQEVI1IEeUYavP0c/O9B2LA6aGx7bLBhWePWoWYTKe6++eYbOnfuTHzpBOJLldon7DwioGJEihDPyoQZLwfzQlYtCxqbtYdzrsf2PzzccCIlQGpqKp07dyaxYmWSKlViw4YNYUcSAVSMSBHg7vDlmzDxLlj2c9BYvzn0vRY6nKQNy0QKyOTJk4kvXZqkSpXCjiKyDRUjEiqf9zE8fzv8+m3QULM+9BoJR52JxceHmk2kJMnKymLKtGlkoeJeih4VIxIK/2VOsGvqvE+ChkrVocdwOPEcrHRCuOFESphPPv+Cex4cxcyvv2bL5s1hxxH5FxUjUqh86QKYcBd89WbQUK4CdBsMp16IJZYPN5xICbPgl1+558FRfPrFFwA0bd6cOZ9/Ssq6dbpVI0WKihEpFP7X0mBi6oyXIDsbEsrCqRfAmYOx5MphxxMpUf5ctYrRj43h1amvk52dTXJSEpdceAHnnN2TefPm0blzZzJSN5GZkR52VBFAxYhEma9bFSzRfWccZKZDfCno3B96DMOq1Ao7nkiJsmnzZp4Z9zxPj3ue1C1bKFUqnr5n9+Kyiy6kcmQkpEOHDixbtozJkyfTt2/fP8JNLBIwdy+0ztq3b+8zZ84stP4kPL5pA0x5DF4fA1s2gxkcdSb0GonVbhh2PJESJSsri1envs6oxx5j1d/B3jydjjuWEZcPoWH9+jt8n5nNcvf2hZVTZEc0MiIFytNS4e1n4X+jIGVt0Nj+ROh7LdawVajZREoad+eTz7/g3lGj+PnXhQC03r8VI4cNo33bA8MNJ7IbVIxIgfCsTHj/BXjpPli9ImhseWiwYVmLg8MNJ1IC/fTzz9zz4Cg++/IrAOrssw9XDhnMyZ1O1N48UuyoGJG94tnZ8MXrwQqZFYuCxn33h77XwUHH6YeiSAH786+/ePDRx5j8+jTcnQrJyVsnpyYkaFm8FE8qRmSPuDvM+RAm3AGLvgsaa+8LvUfCEV2xuLhwA4qUMCmbNvH0uOd55vnn2bIljdKlStGnZw8uufCCrZNTRYorFSOy2/ynb4JdU38I9i6gSi04ewQc1xsrVTrccCIlTGZmJq9MmcroMY/z9+pgcupJJxzPiMGDaVC/XsjpRAqGihHJN1/yA0y4E76ZHjQkVYJul8MpA7AyZUPNJlLSuDsff/YZ9zw4ml8XBbdADzzgAEYOv4KD2rQJOZ1IwVIxIrvkKxfDi/fCx6+AOySWg9MHQddLsfIVwo4nUuL8uGABdz8wii++/hqAunXqMGLIYE4+8QTNw5ISScWI7JCv+RNefgDeGw+ZGVCqNJzUH866AqtUI+x4IiXOyj//ZNSjY5g87Z/JqZdedAF9e2pyqpRsKkbkX3zTepj8MEx7EtJSgw3Ljj0bel2J1djxBkoismdSNm3iqefGMXb8+K2TU/ue3ZNLLryAShUrhh1PJOpUjMhWnrYZpj0VFCKb1geNh5wMfa7B6jcPN5xICZSZmcn/XpvC6DGPs3rNGgA6n3gCIwYPpn69uiGnEyk8KkYEz8yA9ybAS/fD2j+Dxv2PgHOuw5ppp2iRgubufPTpZ9zz4CgW/vYbAG1bt+bqYUM1OVVikoqRGObZ2fDJq/DCPfDnkqCxcRs453poc7QmyolEwQ8//cTdD4ziy2++AaBe3TpcefkQTjr+eH3PScxSMRKD3B1mvgsT74TFPwSNdfaDvtfCoafqB6JIFKxYuZIHH32MKW+8ibtTsUIFLr3oQvr0OEuTUyXmqRiJMf79FzD+DvgpWDJItTpw9pVwbE8sXl8OIgUtJSWFJ599jrETJpKWlkbp0qXp1+tsLr5gABUraGm8CKgYiRn+2/ygCJn9ftBQoSqcNRROOhdLSAw3nEgJlJmZyUuTX+OhMY+zZm1wgvUpnU5k+ODLqFdXk1NFcst3MWJm8cBMYLm7n5arfTQwwN2TopBP9pL/sQheuAs+nRI0lE2CrpfA6YOwcsnhhhMpgdydDz/+hHtHjWbR4sUAtG3TmmuGDePA1geEG06kiNqdkZGhwI/A1nFFM2sPVC7oULL3fPUKeOk+eG8iZGdB6TLQ+TzofjlWsVrY8URKpO9//Im7H3iQr2bOBKB+3bpcOXQInY7TCdYiO5OvYsTM6gKnArcDwyNt8cC9QB/gzGgFlN3jG9bAqw/BW89A+haIi4MT+sDZV2LV6oQdT6RE+mPFSh589FGmvPEmAJUqVuTSiy6kd4+zSCitwyNFdiW/IyMPAlcDucf1BwNT3X2FKv7weeommPY4vPYobN4YNB52OvQZidVtEm44kRIqJSWFJ8Y+x7MTc09O7cXFF5yvyakiu2GXxYiZnQb85e6zzKxjpG0foAfQMR/vHwgMBKhZsyYzZszY87TyL5aZwT7z36P+15NJSA12TV1TvzW/Hd6blJqN4NflwYeIFJisrCw++fJLpr0znY0pmwDo0PZAzjjlZKpVrcqc2bNDTihSvJi77/wFZncC/YBMIJFgzkha5GNL5GX1gUXuvt/OPlf79u19ZuRequwdz8qCj/4XnKa7amnQ2PQgOOd67IAjww0nUkK5Ox98/DH3jhrNb4uDjQLbHXggI4ddQZsD9g853e4zs1nurm2WJXS7HBlx92uBawEiIyNX5l5NE2lP2VUhIgXD3eHrt2DCXbB0QdBYr1mwYdnBnTVJTiRKvvvhB+554EG+nhWMejSoV4+rhl7OCcd21PedyF7SPiPFiM/7BCbcAT9HhoBr1IPeI+Goblh8fLjhREqo5X+s4IFHHuX1t94CoFKligweeBFnd++uyakiBWS3ihF3nwHMyKNde4xEkf/6bbBh2dyPgoZK1aHHMDjxHKx0mVCziZRUGzem8PjYsTw38QXS09MpXbo05/bpzaAB51MhWXv0iBQkjYwUYb7sF5h4F3wxLWgolwxnXAanDcTKlg83nEgJlZGRyaRXXuHhJ55k7bp1AJzW+SSGDb6MuvvsE244kRJKxUgR5KuWwaT/woeTIDsbEhLh1AvhzMFYsvaYE4kGd+f9GR9x7+jRLF7yOwDt27Zl5LChtN6/+E1OFSlOVIwUIb7+b3hlFLz1LGSmQ1w8dOoPPYdjVWuHHU+kxJr3/ffcff+DzJwzB4CG9etz1dDLOb7jMZqcKlIIVIwUAb55I0wdA1Megy3BngUcdSb0HonV3jfccCIl2LI//uCBhx9h2tvvAMHk1CEDB3J29+6ULq0fjyKFRd9tIfL0LcEoyCujYOOaoLHdCdD3WmxfDQuLRMuGjRt5/JmxjHvhRdLT00lISAgmp55/PsnJmo8vUthUjITAszKD+SAv/hdW/xE0Nj8Y+l2PtTw03HAiJVh6RsbWyanr1gU7Fp9+8skMu+xS6uyjW6EiYVExUog8OztYGfPC3bD816CxYUvoex20O0H3pkWixN1578MZ/Hf0Qyz+PZic2uGggxg5/AoOaNky5HQiomKkELh7sEfI+Dtg4dygsVZD6DMSjjgDi4sLNZ9ISTb3u/nc/cCDzPr2WwD2bdiAq4ZeznFHH61fAESKCBUjUeYLZsL422H+50FD5ZrQcwSc0Acrpd0bRaJl6fLlPPDwI7zxznQAKleqxJCLB9HzzDM1OVWkiNF3ZJT4kh+DDcu+fjtoSKoE3YbAKQOwMuVCzSZSkq3fsIExT4/l+RdfJCMjg4SEBM7r24eB552nyakiRZSKkQLmfy4JTtL96H/gDmXKwmkD4czLsPIVw44nUmKlZ2Twwsv/49Enn2Ld+mByatdTT+GKSy9ln9q1Qk4nIjujYqSA+Lq/4OUHYPrzkJkBpUpDp35w1jCsco2w44mUWO7O9A8+4L+jHuL3ZcsAOLh9O0ZecQX7t2wRcjoRyQ8VI3vJN62H1x6F1x+HtFQwg449oNdVWM0GYccTKdHmfjefux54gNnfBhPD923YgKuHDuXYo4/S5FSRYkTFyB7ytM3w5jPw6kOQsi5oPLgz9LkGa6DfxkSiaemyZdz/8CO8Of1dAKpUrsyQiwfR44wzNDlVpBjSd+1u8swMeP+F4CC7tX8GjfsfDn2vw5p3CDecSAm3fsMGHnvqaca/OImMzEzKlCnD+X37cNF555KUpMmpIsWVipF88uxs+Ow1eOEeWPFb0NioNfS7HtroMC2RaErPyGDiSy/z6JNPsX7DBgDOOO1Urrj0EmrX0uRUkeJOxcguuDvMfj/YsGzx90HjPo2hzzVw2GnasEwkitydd95/n/tGP7x1cuoh7dszctgVtGrRPOR0IlJQVIzshP/wVbBh2Y9fBQ1V94GzR8BxvbB4/dOJRNOcufO4+4EHmTNvHgCN992Xq68YyjFHHqGRSJESRv+j5sF/+x4m3AGz3gsakqtA96Fw8nlYQmK44URKuN+XLuO+hx/m7XeD77+qVapw+cWDOOuMrpQqpR9ZIiWRvrNz8RW/BYfYfTI5aEgsD10uhq6XYOWSww0nUsKtW7+ex556mgmTXiIjM5PExDKcf845XHhuf5LKlw87nohEkYoRwNeshEn3wfsTISsTSiXAyedB96FYxWphxxMp0dLT05nw0ks8+uTTbNi4ETPjzNNP44pLL6FWzZphxxORQhDTxYhvXAuTH4Y3nob0VIiLg+N6wdlXYjXqhR1PpERzd9569z3ue+hhli1fDsChHTowcthQWjbX5FSRWBKTxYhv2QTTnoTJj8DmYJkgh50GvUdi9ZqGG04kBsyeO5e773+Qb7/7DoD9GjXi6isu5+gjNDlVJBbFVDHiGenw7vPBGTLrVgWNbY4ONixr0jbccCIxYMnvS7nvoYd45/0PAKhWtSqXXzyI7l27aHKqSAyLie9+z8qCT16FF++BP38PGpu0hXOux1ofFW44kRiwdt06HnvqaSa+9PLWyakD+vXjgv79NDlVREp2MeLu8PXbMOFOWLogaKzXLNiw7JCTNRwsEmXp6emMn/QSjz31z+TUbl1O54pLL6FmDZ1mLSKBEluM+PzP4Pnb4edZQUP1etDrKjjmLCw+PtxwIiWcu/PW9Hf570MPs/yPPwA4/JCDGTnsCpo31bwsEdlWiStGfOHcYOv2b2cEDRWqQo9hcFJ/rHSZULOJxIKZc77lngceZO78+QA0adyIq6+4gqMOP0yjkSKSpxJTjPjyX2Hi3fD51KChXDKccSmcNggrq3vSItG2+PffuW/0Q0z/4EMAqlerytBLLuHM00/T5FQR2ali/xPC/14Ok/4LH0yC7CxISISTB0C3IViFKmHHEynx1qxdx6NPPcULL79MZmYWZRMTuaB/Pwb070f5cuXCjicixUCxLUZ8w2p4ZTS8NRYy0iAuHk48B3qOwKrtE3Y8kRIvLS2N51+cxJinn2FjSgpmRveuXRh6ycWanCoiu6XYFSOemgJTx8CUxyA1JWg8siv0GonVaRxuOJEYkJ2dzZvTp3P/Q4+wfMUKAI489FCuumIozZs2CTmdiBRHxaYY8fQt8M5z8L9RsGF10Nj2ODjnOqzRAeGGE4kRM2fP4a4HHuC7738AoOl+jbdOThUR2VNFvhjxrEz48KVgXsjfwfkVNO8QbFjWSj8ARQrDb0uW8N/RD/HehzOAyOTUSy+h2+mnE6+l8iKyl4psMeLu8OUbMOEuWP5L0NigBfS9DtqfqCWCIoVgzdp1PPLEE7z4yitbJ6deeG5/zu93jianikiBKZLFiM/9KNgr5Ndvg4aaDaD31XBUNywuLtRsIrEgLS2NcS+8yJhnniElZRNxcXH0OPMMLr/4YmpUrxZ2PBEpYYpUMeI/z4bxt8N3nwYNlWtAj+FwQl+sdEK44URiQHZ2Nm+8M537H3qYP1auBOCoww/nqqGX06zJfiGnE5GSqkgUI/77TzDxLvjqraChfEU4czCcegGWqA3LRArD17NmcfcDo5j/QzA5tVmTJlx9xVCOPOzQkJOJSElXqMXIihUrmDhxIt26dSMxMRH/63d48b/w0cuQnQ0JZeG0C+HMwVhSpcKMJhKzFi1ezH9HP8T7Mz4CoHq1agy77FLOOO1UTU4VkUJh7p6/F5rFAzOB5e5+mplNANoDGcDXwCB3z9jZ56idGO9talVk3kbntYu70uHn9yAzA+JLwYn9oMcwrErNvfwriUh+rFm7locff4IXX3mVrKwsypUtywXn9mdAv3MoV7Zs2PGkEJjZLHdvH3YOkd0ZGRkK/AhUiFxPAM6JPJ4IXAg8trNPUKdsHG+1Lc2UFWmccf/zLOxUjcSO3aHX1VjthrsZXUT2xJYtWyKTU8eyaVMwObXnmWcy5OJBmpwqIqHIVzFiZnWBU4HbgeEA7v5mrue/Burmt9OutcswZkk6rx4/gr6XX717iUVkj2RnZ/P6W2/zwCOPsGLlnwAcfUQwObXpfpqcKiLhye/IyIPA1UDy9k+YWWmgH8HIyb+Y2UBgIEC7Sv9017ZiHB/MXUCdGTN2K7CI7L4Fv/7K/6a+zu/Lgo0D69auTfcup9OyWVP+WLaMP5YtCzmhiMSyXRYjZnYa8Je7zzKzjnm85FHgY3f/JK/3u/sTwBMA7SuX3jpBZc6WBPoffzwdO+b1KUWkICz8bTH3jhrFhx8H3541qldn2GWX0vXUUzQ5VUSKjPyMjBwBdDGzU4BEoIKZjXf3c8zsJqA6MGh3Op2yIo15KXF069Zt9xOLyC6tXrOGhx9/kkmv/jM59aLzz+X8vudQtmxi2PFERLaR79U0AJGRkSsjq2kuBAYAx7t7an7ev3U1TQpMeesdOnTosCeZRWQHtmzZwnMTX+Dxsc9unZza48wzGDJoINWraXKqbEuraaSo2Jt9RsYAS4AvIufEvOrut+7sDXFVa9H/jnu37jMiIgUjOzubqW++xQOPPMrKP4PJqR2PPJIrhw6hSePGIacTEdm53RoZ2Vvt27f3mTNnFlp/IrHgy29mcvcDD/DDTwsAaNGsKSOvuILDDjk45GRS1GlkRIqKIrEdvIjsvoWLfuPeUaP58JNgcmrNGjW2Tk6N04GSIlKMqBgRKWb+Xr2ahx5/gpcnvxZMTi1XjoHnnct5fftqcqqIFEsqRkSKidTULTw7YQJPPPscmzdvJj4+nl5ndWfIoIFUq1o17HgiIntMxYhIEZednc2UN97kgUce5c+//gLg2KOO4sqhQ9ivUaOQ04mI7D0VIyJF2Bdffc3dDz7Ijwt+BqBl82ZcfcUVHHawlsWLSMmhYkSkCPpl4ULuHTWajz79DIBaNWsy7LJL6XLKyZqcKiIljooRkSJk1d9/89CYx3n5tSlkZ2dTvnx5Bp1/Huf26a29eUSkxFIxIlIEpKZuYeyE8Tz57Litk1P79OjB4EEXUbVKlbDjiYhElYoRkRBlZWVtnZz616pVABx3zNFcefnlNN63YbjhREQKiYoRkZB8/tVX3P3AKH76OZic2qp5c0YOv4JD2mtDTBGJLSpGRArZz7/+yr2jRvPxZ58DULtWTYZddhmnn9xZk1NFJCapGBEpJH+tCian/m/KP5NTLx5wPv1799LkVBGJaSpGRKJsc2oqzzw/nqefG8fm1FTi4+Pp27MHgwcNpErlymHHExEJnYoRkSjJyspi8uvTePDRx1j1998AHN/xGK68fAiNGjYMN5yISBGiYkQkCj794kvufuBBfv71VwD2b9mSkcOGcnC7diEnExEpelSMiBSgBb/8yj0PjuLTL74AYJ9atRg+ZDCnntRJk1NFRHZAxYhIAfhr1d+MeuwxXp36OtnZ2SQllefiAQPo37sXZcqUCTueiEiRpmJEZDekpqYyefJkFi5cSOPGjTmpc2deePl/PPXcOFK3bKFUqXj69jybSy+6iCqVK4UdV0SkWFAxIpJP33zzDZ07dya+dALZcXFkp6eTsnEDtRs2IrF8eU44tiNXXj6EfRs0CDuqiEixomJEJB9SU1M5qXNnylasTFKlSlvby65bx8olv/HBhzM44rBDwwsoIlKMqRiRmJCZmUnKpk1s3LiRjSkpWz9SUlLYsPGfx1ufy/W6lJQUfv/tN9IyMqmeqxABSKpUiYzUTSz5bZGKERGRPaRiRIq87OzsSCGRu4DYuJMCYtO/XrM5NXWvMmzetInEcuXyfM7NWLRo0V59fhGRWKZiRKLK3dm0efNOCoiUbUcqNqawIWXjNq9JSdm01zni4uJIKl+e5KQkkpOTSU5KIikpcp2rLa/rpOQk3nzjDUZec22en9vcadSo0V5nFBGJVebuhdZZ+/btfebMmYXWn+wddyd1y5atRUJetzD+PVKxaZvXpGzaRHZ29l5nyV04JO2ggEhKSqJC8ravqZCcTFJSEuXLlcPM9rj/LVu2UKdOHRK3mzOSsm4dW9avZfny5TpfRoodM5vl7jomWkKnkZESLC0tbRcFxLZzJTZs3H5EIoXMzKy9zlGubNl/FQfJkeIiKdK2TZGRu9BIDgqJ+Pj4AvgX2XOJiYm8/fbbdO7cmYzUTbgZ5k5Wejpvv/22ChERkb2gYqSISs/ICAqDjTsagdh+pGLTv16TkZGx1znKlCmztSjYfmTin8Ii6V+vyf26UqVKxpdZhw4dWLZsGZMnT2bRokU0atSIbt26qRAREdlLJeN/iSJm68qNnRYQ/54nkfs1W7ak7XWO0qVK5ZofkVNAbDcCkcf8iApJySRHXpdQunQB/IuUHGXLlqVPnz5hxxARKVEKtRhZsWIFEydOLNK/TWZnZ7Np0+ZdrNbYdkRi+9fs7coNgPj4+G3mQey0gNhBoVGmTJm9michIiJSGAp1AmuphASvUqUqWRnBffYOHToU6OfPvXJjxwXEtiMSweN/XrNp02b29t/EzEgqX36ntzHyvNWR/E+hUTYxUYWEiESVJrBKUVGoxUhiufLeoHmLPFcguDtbtqTlY7VG7smWm7Z5zcaUlAJZuVE+ZwloUvk8J1huX2TkXsWRnJREuXLldEKriBR5KkakqAhlzkhSpUpsXLuao447norVqhXoyo2yiYk7WaGx3cjEdvMjkpOSSCpfPvSVGyIiIrEktAmspcsk8tvixVTNNVEzISEhMuqQ92ZUuUcm8io0ksonUbq05uSKiIgUJ+H9z52dxZXDh9GrV6+tBUVCQkJocURERCQcoRQjKevWQVYWV1x+eZFdVSMiIiKFo1CLkazMDNauWK5dK0VERGSrQl3yUaN6dR687z6WL19e4Mt6RUREpHgq1JGR2rVra/dKERER2YY2wxAREZFQ5bsYMbN4M5tjZtMi1/ua2Vdm9quZTTIzLYURERGR3bY7IyNDgR9zXd8NPODu+wFrgQsKMpiIiIjEhnwVI2ZWFzgVeCpybcBxwP8iL3kOOCMK+URERKSEy+/IyIPA1UDOwS9VgXXunhm5XgbUKdhoIiIiEgt2uZrGzE4D/nL3WWbWcXc7MLOBwECAmjVrMmPGjN39FCIiIlKC5Wdp7xFAFzM7BUgEKgCjgEpmVioyOlIXWJ7Xm939CeAJgPbt23vHjh0LIreIiIiUELu8TePu17p7XXdvCPQCPnD3vsCHwFmRl50LTIlaShERESmx9mafkZHAcDP7lWAOydMFE0lERERiibl74XVmthFYUGgdikRPNeDvsEOI7KVm7p4cdgiRwj61d4G7ty/kPkUKnJnN1NeyFHdmNjPsDCKg7eBFREQkZCpGREREJFSFXYw8Ucj9iUSLvpalJNDXsRQJhTqBVURERGR7uk0jIiIioVIxIiIiIqGKajFiZjXyaGsWzT5FRESkeIn2yMgnZtYz58LMRgCTo9ynSFSY2elmptFEKbbMLNHMzjKzUWb2spmNM7OrzaxV2NkktkV1AquZ1SaYrb0FqAn8CIxw95SodSoSJWY2HjgMeAV4xt1/CjmSSL6Z2S3AacAMYBbwF8Hhp02BYyOPR7j7vLAySuyK+moaM7sMuBbIBnq5++dR7VAkisysAtAbOB9wYCzwgrtvDDWYyC6Y2anu/sZOnq8B1Hd37coqhS7aIyPvAX8AlwP1CA7T+9jdr4xapyJRZmZVgX7AFQSjffsBo939oTBzieSHmSW6+5bt2qq5u85aktBE+/73w+7e393Xuft3wOHA+ij3KRIVZtbFzCYTDHOXBg5295OBNsCIMLOJ7IZvzOzQnAsz6w5oxFpCpU3PRPLJzJ4Dnnb3j/N47nh3fz+EWCK7xcwOAJ4hKKr3AaoCF7r7sjBzSWyLSjFiZp+6+5FmtpHgvvrWpwB39woF3qmIiOSLmZ0BPA9sBI5291/DTSSxrlQ0Pqm7Hxn5Mzkan18kDGbWDbgbqEFQWKu4lmLHzJ4GGgOtCVbSTDOzh9z9kXCTSSyLSjGSm5lVJpi8urUvd58d7X5FouAe4HR3/zHsICJ74TuC2zIO/GZmhwD3h5xJYly0V9PcBpwHLCJY2gvBb5LHRa1TkSgxs8/c/Yiwc4iIlDTRLkYWAAe4e3rUOhEpJGY2CqgFvAak5bS7+6thZRLZXWbWBLgTaEmw0RkA7t4otFAS86J9m2Y+UIlgpz+R4q4CsBnolKvNARUjUpyMBW4CHiDYefV8dGiqhCzaIyPtgSkERUnu3yS7RK1TkSgxs3ruvnS7tlruvjKsTCK7y8xmuXs7M/vO3Q/I3RZ2Nold0R4ZeY5g9cF3/DNnRKS4WmRm/wMGuHtqpO1N4KAQM4nsrrTIgY+/mNlgYDmQFHImiXHRLkY2u/voKPchUljmA58An5lZD3dfSLC8V6Q4GQqUIzim4zbgOODcUBNJzIv2bZr7CW7PTGXb2zRa2ivFjpnNdveDzOwI4ElgJHCLu2tkRERkL0S7GPkwj2Yt7ZViyczmuHvbyOPawEtAO3cvF24ykfyLzOW7HmjAtvs/tQ4tlMQ8nU0jkk9mVtvdV+S6LgUcntdZNSJFVWTLhavYbi6fuy8JLZTEvKgu5zKzmmb2tJm9FbluaWYXRLNPkSgaYmaVcl0ns+0yX5HiYJW7T3X339x9Sc5H2KEktkX7Ns1bBGvar3f3NpHfJOfkLCcTKU5y36bJ1TZbc0akODGz44HewPto8z4pIqK9mqaau79kZtcCuHummWVFuU+RaIk3szLungZgZmWBMiFnEtld5wPNgdLkOqYDbd4nIYp2MbLJzKoSfKFjZocC66Pcp0i0TADeN7OxkevzCfbSESlOOrh7s7BDiOQW7ds0BwEPAfsT7NFQHTjL3edFrVORKDKzk4HjI5fvuvs7YeYR2V2RYvped/8h7CwiOaK+miYyT6QZweZQC4CD3f2zqHYqEgVmNgQY7+5rw84isqfM7EegMfAbwZwRI9hyQUt7JTRRuU1jZvFAT6AO8Ja7f29mpwFPAGWBtjt7v0gRVRP4xsxmA88A77jWxkvx0znsACLbi8rIiJk9C9QDvgYOAf4A2gHXuvtrBd6hSCExMyNYzns+0J5g47OnI1vDixR5ZnYb8DHwubtvCjuPCERvAmt7oLW7Z5tZIrASaOzuq6PUn0ihcHc3s5UEX9OZQGXgf2b2rrtfHW46kXxZRLC0d7SZbSQ4b+ljd58SbiyJZdEaGdlm7wXtxSAlgZkNBfoDfwNPAa+5e0bOCaju3jjUgCK7wcxqEdxOvxKo7O7JIUeSGBatkZHmZpazYsaAxpFrTZSS4qwy0G373SojI4CnhZRJZLeY2VNAS+BPglGRswAdXiqhilYx0iJKn1ckFJFJ2b3c/ea8nnf3Hws3kcgeqwrEA+uANcDf7p4ZaiKJeVEpRnTOgZQ07p5lZgvMrL67/x52HpE95e5nAphZC+Ak4EMzi3f3uuEmk1gW7R1YRUqSysD3ZvY1sHUVgrt3CS+SyO6J3FI8CjgaqAR8QHC7RiQ0Ud/0TKSkMLNj8mp3948KO4vInjKzhwmKj0/c/Y+w84iAihGRfDOzu9195K7aRIo6M6sJdIhcfu3uf4WZRyQuGp/UzA7a/iPXc82j0adIITgxj7aTCz2FyF4wsx4EG1L2IFja+5WZnRVuKol10dpn5MPtmtzdj4s896S7X1TgnYpEiZldAlxKcJ7Hr7meSibYxbJvKMFE9oCZzQVOzBkNMbPqwHvu3ibcZBLLdJtGZBfMrCLB5NU7gWtyPbXR3deEk0pkz5jZd+5+QK7rOGBu7jaRwhb11TRmlgA0BxxY4O7p0e5TpCC5+3pgvZm9t/2ydTO7y92v2cFbRYqit83sHeCFyPXZwJsh5hGJbjFiZqcCY4CFBLuv7mtmg9z9rWj2KxIl3c1si7tPADCzR4DEkDOJ7BZ3v8rMugNHRJqecPfJYWYSieptGjP7CTjN3X+NXDcG3nB3TWKVYsfMygJTgWcIjmFf5+5Dw00lIlL8RWU1TS4bcwqRiEXAxij3KVKgzKyKmVUBygIXAlcTfB3fEmkXKTbMrJuZ/WJm681sg5ltNLMNYeeS2BbtkZHHgAbASwRzRnoAvwPvAbj7q1HrXKSAmNlvBF+/luvPHO7ujUIJJrIHzOxX4HSdpyRFSbSLkbE7edrdfUDUOhcRkX8xs8/c/Yhdv1Kk8Ghpr0g+mVk5YDhQ390HmlkToJm7Tws5msgumVm3yMNjgFrAa0BazvMaqZYwRXtkZF9gCNCQXCt3dLCYFEdmNgmYBfR39/0jxcnn7n5guMlEdk0j1VKURbsYmQs8DXwHZOe062AxKY7MbKa7tzezOe7eNtI2VztXiojsnWhverbF3UdHuQ+RwpIeWd7rsHWpetrO3yJSNJjZRcAMd//FzIzgF8XuwBLgXHefE2pAiWnRHhnpAzQBprPtvcnZUetUJErM7ETgBqAlwdf0EcB57j4jzFwi+WFm84G27p4R+dk8AugEtAVucvejQg0oMS3axcidQD+CHVhzbtNsPTRPpLgxs6rAoQTLe790979DjiSSL2b2bc78JjObCHzl7qMi17Pd/aCdvV8kmqJ9m6YH0Ejn0UhxZmbb/5BeEfmzvpnV10ifFBPZZlYbWAscD9ye67my4UQSCUS7GJkPVAL+inI/ItF0306ec0AjfVIc3AjMBOKBqe7+PYCZHUOwO7ZIaKJ9m2YG0Br4hm3njGhpr4hIITOzUkCyu6/N1Vae4P+ClPCSSayLdjFyTF7tWtorxYmZXe3u90Qe93D3l3M9d4e7XxdeOhGR4k87sIrsQu7JfdtP9NPEPxGRvRfVU3vN7FAz+8bMUsws3cyydDqkFEO2g8d5XYuIyG6K9gTWh4FewMtAe6A/0DTKfYoUNN/B47yuRYo8M6tMsAdUYk6bu38cXiKJddGeM5KzffY8d28dadu6lbZIcWBmWcAmglGQssDmnKeARHcvHVY2kd1lZhcCQ4G6wLcE++Z8of2fJEzRHhnZbGYJwLdmdg/B/gxRvTUkUtDcPT7sDCIFaCjQgWDTvmPNrDlwR8iZJMZFuzDoF+ljMMFvlvWAs6Lcp4iI7NgWd98CYGZl3P0noFnImSTGRWVkxMzOdffn3H1JpGkLcIuZlQbGAb2j0a+IiOzSMjOrBLwGvGtmawkOyxMJTVTmjJjZbGCMuz+Rq6088CqwzN0vKPBORURkt0T2gqoIvK1jOyRM0SpGqgBvA+PdfbSZVQfeBN5392sKvEMREck3M4sHapJrdNzdfw8vkcS6qK2mMbMKwFvAJ0BXgpGSUVHpTERE8sXMhgA3AX+y7WnqrcNLJbEuWiMj3SIPk4H7gfeBF3Oed/dXC7xTERHZJTP7FTjE3VeHnUUkR7SKkbE7edrdfUCBdyoiIrtkZh8CJ7p7ZthZRHLobBoRkRhiZk8TLOV9g21PU78/tFAS86K96ZmIiBQtv0c+EiIfIqHTyIiIiIiESluzi4iISKgKrRgxsyd2/SoRERGJNYU5MtK+EPsSEZE8mNkR+WkTKUyFWYz8VYh9iYhI3h7KZ5tIoSm01TTu3rmw+hIRkW2Z2WHA4UB1Mxue66kKQHw4qUQCWtorIhIbEoAkgp/7ybnaNwBnhZJIJEJLe0VEYoiZNXD3JZHHcUCSu28IOZbEOC3tFRGJLXeaWQUzKw/MB34ws6vCDiWxLarFiJndE/miL21m75vZKjM7J5p9iojITrWMjIScQXCy+r5Av1ATScyL9shIp8gX/WnAYmA/QBW4iEh4SptZaYJiZKq7ZwC6Xy+hinYxkjNB9lTgZXdfH+X+RERk5x4n+OWwPPCxmTUgmMQqEpqoTmA1s7sIqu9U4GCgEjDN3Q+JWqciIrJbzKyUu2eGnUNiV9RX05hZFWC9u2dFJkwlu/vKqHYqIiLbMLNz3H38dnuM5HBgDcFtm7WFHE0k6hNYywGXAo9FmvZB28KLiIShfOTP5Dw+KgDtCCa0ihS6aN+mmQTMAvq7+/6R4uRzdz8wap2KiMgeMbNb3f3GsHNI7In2BNbG7n4PkAHg7psBi3KfIiKyA2ZW18wmm9lfkY9XzKwugAoRCUu0i5F0MytLZNmYmTUG0qLcp4iI7NhYYCrBbfN9gNcjbSKhifZtmhOBG4CWwHTgCOA8d58RtU5FRGSHzOzb7W+V59UmUpiielCeu79rZrOBQwluzwx197+j2aeIiOzU6shO2C9ErnsDq0PMI1IoZ9McARwLdCQoSkREJDwDgJ7ASmAFwYm954UZSKQwNj3rAEyINPUGvnH366LWqYiI5JuZVQYudffbw84isSvaxcg84EB3z45cxwNz3L111DoVEZF/MbN6wP8RTFqdDLwI3AL0B15w96EhxpMYF9U5IxGVCHb2A6hYCP2JiMi/jQM+Al4BOgMzgW+B1toVW8IW7ZGR3sBdwIcEE1iPBq5x90lR61RERP7FzOa6e5tc18uA+jkj1yJhKoyzaWoTzBsB+FoVuIhI4TOzuQQLCXI2nvww97W7r8nzjSKFoDCKkTpAA3LdEnL3j6PaqYiIbMPMFgPZ5L0Ltrt7o8JNJPKPaN+muRs4G/ie4JsAgi/6LlHrVERERIqVaBcjCwgmR2kLeBEREclTtDc9WwSUjnIfIiIiUoxFZWmvmT1EcDjeZuBbM3ufXAfkufvl0ehXREREip9o7TMyM/LnLILTIUVEpAgws/p5tbv774WdRSRH1FfTbO0o2HK4nrvPK5QORUTkX8zsO4KRawMSgX2BBe7eKtRgEtOiugOrmc0AukT6mQX8ZWafufvwaPYrIiJ5c/cDcl+b2UHApSHFEQGiP4G1ortvALoB49z9EOCEKPcpIiL55O6zgUPCziGxLdpn05SK7MDaE7g+yn2JiMgumFnukek44CDgj5DiiADRL0ZuBd4BPnX3b8ysEfBLlPsUEZEdS871OBN4g+DwPJHQFNoEVhEREZG8RHtkREREigAze51gFU2edEyHhEnFiIhIbPhv2AFEdkS3aURERCRU0d5nJK/9RNYDs9z922j2LSIi/2ZmTYA7gZYEm54B4O6NQgslMS/a+4y0By4G6kQ+BgGdgSfN7Ooo9y0iIv82FniMYCXNscA4YHyoiSTmRfU2jZl9DJzi7imR6ySCZWSdCUZHWkatcxER+Rczm+Xu7czsu5zdWHPaws4msSvaE1hrkOu0XiADqOnuqWaWtoP3iIhI9KSZWRzwi5kNBpYDSSFnkhgX7WJkAvCVmU2JXJ8OTDSz8sAPUe5bRET+bShQDrgcuA04Djg31EQS86K+msbMOgCHRy4/c/eZUe1QREREipXCKEbigZrkGoVx99+j2qmIiGzDzB509yt2tPmZNj2TMEV7ae8Q4CbgTyALMIJvgtbR7FdERP7l+cif2vxMipxor6b5FTjE3VdHrRMREcmXyEj1OHfvG3YWkdyivc/IUoJNzkREJGTungU0MLOEsLOI5Bbt1TSLgBlm9ga5lvi6+/1R7ldERPK2CPjMzKYCm3Ia9XNZwhTtYuT3yEdC5ENERMK1MPIRBySHnEUE0EF5IiIxyczKufvmsHOIQJRGRrSETESkaDKzw4CnCXZdrW9mbYBB7n5puMkklkXrNo2WkImIFE0PAicBUwHcfa6ZHR1qIol5USlG3H1W5OFMINXds2HrsrIy0ehTRETyx92XmlnupqywsohA9Jf2vk9wBkKOssB7Ue5TRER2bKmZHQ64mZU2syuBH8MOJbEt2sVIorun5FxEHpfbyetFRCS6LgYuA+oQnNh7YORaJDTRXtq7ycwOcvfZAGbWDkiNcp8iIrID7v43oB1YpUiJ9sjIFcDLZvaJmX0KTAIGR7lPERHZATO7x8wqRG7RvG9mq8zsnLBzSWwrjFN7SwPNIpcL3D0jqh2KiMgOmdm37n6gmZ0JnAYMBz529zYhR5MYFu3bNAAdgIaRvg4yM9x9XCH0KyIi/5bzc/9U4GV3X7/dyhqRQhfVYsTMngcaA9/yz9IxB1SMiIiEY5qZ/UQwf+8SM6sObAk5k8S4qN6mMbMfgZauPedFRIoMM6sCrHf3LDMrDyS7+8qwc0nsivYE1vlArSj3ISIiu8Hd17h7VuTxJhUiErZozxmpBvxgZl8DaTmNOptGREREckS7GLk5yp9fREREirmoL+0VEZHwmdmdwP3uviqP5+5295EhxBIBojxnxMwONbNvzCzFzNLNLMvMNkSzTxERydOlwEwzOzWP504s7DAiuUV7AuvDQG/gF4JD8i4EHolynyIi8m+LCPYWudPMHjaz3Ceoa6MRCVW0ixHc/Vcg3t2z3H0s0DnafYqIyL+4u88HDgaygVlm1jrkTCJA9CewbjazBOBbM7sHWEEhFEAiIpI3d98CXG5mJwOvm9nosDOJRLsw6BfpYzCwCagHdI9ynyIi8m/b3Ipx97cIjus4FtAIiYSqMA7Kqw6Q1wxuEREpHGZW192X7eC5Q939y8LOJJIjKiMjFrjZzP4GFgA/R46pvjEa/YmIyC413NET7v6lmVUws/0LMY/IVtGaMzIMOALo4O6/AZhZI+AxMxvm7g9EqV8REclb98jcvbeBWcAqIBHYj+BWTQNgRHjxJJZF5TaNmc0BTnT3v7drrw5Md/e2Bd6piIjsVOSAvO4EvyzWJji590fgDXf/NMxsEtuiVYzMd/c8h/t29pyIiIjEnmitpknfw+dEREQkxkRrZCSLYCnvv54CEt29dIF3KiIiIsWSDsoTERGRUGk3VBGRGGJm5czs/8zsych1EzM7LfL4sHDTSaxSMSIiElvGAmlATuGxHHjCzDoBt4SWSmKaihERkdjS2N3vATIA3H0z8DdQARgTZjCJXdE+KE9ERIqWdDMrCziAmTUGtrj7/8KNJbFMxYiISGy5iWAX1npmNoFgA7TzQk0kMU+raUREYoyZVQUOJdhu4cvtd8sWKWyaMyIiEkPM7Ewg093fcPdpQKaZnRFyLIlxGhkREYkhZvatux+4XdscnRkmYdLIiIhIbMnr577mD0qoVIyIiMSWmWZ2v5k1jnzcD8wKO5TENhUjIiKxZQjBgaWTIh9pwGWhJpKYpzkjIiIiEirdJxQRiSFm1hS4EmhIrv8D3P24sDKJaGRERCSGmNlcgm3fZwFZOe3urnkjEhoVIyIiMcTMZrl7u7BziOSmYkREJAaYWZXIw8uBv4DJBJNXAXD3NWHkEgEVIyIiMcHMfiM4HM/yeNrdvVEhRxLZSsWIiIiIhEr7jIiIxBAzu8zMKuW6rmxml4YYSUQjIyIisURn00hRpJEREZHYEm9mW+eNmFk8kBBiHhFteiYiEmPeBiaZ2eOR60GRNpHQ6DaNiEgMMbM4YCBwQqTpXeApd8/a8btEokvFiIiIiIRKc0ZEREQkVCpGREREJFQqRkREYpSZxZlZhbBziKgYEREp4czsmlyPJ5pZBTMrD8wHfjCzq8JLJ6JiREQkFqSZ2bjI45buvgE4A3gL2BfoF1YwEdA+IyIiJZ67P2BmTSKXpc2sNEEx8rC7Z5iZllVKqDQyIiISA9z9l8jDx4HFQHngYzNrAGwIK5cIaJ8REZGYZ2al3D0z7BwSu3SbRkQkBpjZOe4+3syG7+Al9xdqIJFcVIyIiMSG8pE/k0NNIZIH3aYREYkhZlbP3Zdu11bL3VeGlUlEE1hFRGLLIjN7wczK5Wp7M7Q0IqgYERGJNfOBT4BPzaxxpM1CzCOiOSMiIjHG3f1RM5sLvG5mIwHdr5dQqRgREYktBuDun5nZ8cBLQPNwI0ms0wRWEZEYYma13X1FrutSwOHu/nGIsSTGaWRERCQG5N5fxCzPKSIqRiQ0KkZERGJDzv4izYAOwNTI9enA16EkEonQbRoRkRhiZh8Dp7r7xsh1MvCGux8dbjKJZVraKyISW2oC6bmu0yNtIqHRbRoRkdgyDvjazCZHrs8Ang0tjQi6TSMiEnPM7CDgqMjlx+4+J8w8IipGREREJFSaMyIiIiKhUjEiIiIiodIEVhGRGGNmNQn2GgH42t3/CjOPiEZGRERiiJn1JNjkrAfQE/jKzM4KN5XEOk1gFRGJIZHTek/MGQ0xs+rAe+7eJtxkEss0MiIiElvitrstsxr9XyAh05wREZHY8raZvQO8ELk+G3gzxDwiuk0jIhJrzKw7cETk8hN3n7yz14tEm4oRERERCZVu04iIxBAz2whs/1voemAmMMLdFxV+Kol1KkZERGLLg8AyYCJgQC+gMTAbeAboGFYwiV26TSMiEkPMbO72y3jN7Ft3PzCv50QKg5ZziYjEls1m1tPM4iIfPYEtkef026mEQiMjIiIxxMwaAaOAwwiKjy+BYcByoJ27fxpiPIlRKkZEREQkVLpNIyISQ8ysqZm9b2bzI9etzeyGsHNJbFMxIiISW54ErgUyANx9HsGKGpHQqBgREYkt5dz96+3aMkNJIhKhYkREJLb8bWaNiaycMbOzgBXhRpJYpwmsIiIxJLKa5gngcGAt8BtwjrsvDjOXxDYVIyIiMcjMygNx7r4x7Cwiuk0jIhJDzCzLzO4CNucUImY2O+RYEuNUjIiIxJbvCX72TzezKpE2CzGPiIoREZEYk+nuVwNPAZ+YWTu0DbyETKf2iojEFgNw90lm9j3B6b31w40ksU7FiIhIbLkw54G7zzezo4CuIeYR0W0aEZEYc6iZVcp1HQckhZRFBNDSXhGRmGJm37r7gdu1zXH3tiFFEtHIiIhIjIk3s62rZ8wsHkgIMY+I5oyIiMSYt4FJZvZ45HpQpE0kNLpNIyISQ8wsDhgInBBpehd4yt2zwkslsU7FiIiIiIRKc0ZEREQkVCpGREREJFQqRkREYpCZJZmZ9heRIkHFiIhIDDGzA8xsDsGBeT+Y2Swz2z/sXBLbVIyIiMSWx4Hh7t7A3esDI4AnQs4kMU7FiIhIbCnv7h/mXLj7DKB8eHFEtOmZiEisWWRm/wc8H7k+B1gUYh4RjYyIiMSYAUB14FXglcjj80NNJDFPIyMiIrGlm7tfnrvBzO4Crgkpj4iKERGRGNPdzLa4+wQAM3sYKBtyJolxKkZERGJLd2CqmWUDnYF17n5ByJkkxulsGhGRGGBmVXJdJgOvAZ8BNwK4+5oQYokAKkZERGKCmf0GOGC5/szh7t4olGAiqBgREYkpZpbo7lt21SZSmLS0V0QktnyezzaRQqMJrCIiMcDMagF1gLJm1pZ/btNUAMqFFkwEFSMiIrHiJOA8oC5wH/8UIxuB60LKJAJozoiISEwxs+7u/krYOURy05wREZHYUtfMKljgKTObbWadwg4lsU3FiIhIbBng7huATkBVoB9wV7iRJNapGBERiS05c0VOAca5+/dsu+eISKFTMSIiEltmmdl0gmLkHTNLBrJDziQxThNYRURiiJnFAQcCi9x9nZlVBeq4+7xwk0ks08iIiEhseRmoDWwAcPfVKkQkbCpGRERiy2NAH+AXM7vLzJqFHUhEt2lERGKQmVUEegPXA0uBJ4Hx7p4RajCJSRoZERGJMZF5IucBFwJzgFHAQcC7IcaSGKaRERGRGGJmk4FmwPPAs+6+ItdzM929fWjhJGapGBERiSFmdqy7fxh2DpHcdJtGRCS2PGVmF+duMLNpYYURARUjIiKxJgM41szGmllCpK1OmIFEVIyIiMSWze5+NvAj8ImZ1Qd0v15CVSrsACIiUqgMwN3vMbPZwHSgSriRJNapGBERiS035jxw9/fMrBPBMl+R0KgYERGJLWvMrLy7bzKzcwj2FxkVdiiJbZozIiISWx4DNptZG2AEsBAYF24kiXUqRkREYkumBxtMdQUedvdHgOSQM0mM020aEZHYstHMrgXOAY42szigdMiZJMZpZEREJLacDaQBF7j7SqAucG+4kSTWaTt4EZEYYGZXAJ8Ds909M+Q4ItvQbRoRkdhQF3gQaG5m3wGfERQnn7v7mjCDiWhkREQkhkS2gG8PHA4cFvlY5+4tQw0mMU0jIyIisaUsUAGoGPn4A/gu1EQS8zQyIiISA8zsCaAVsBH4CvgS+NLd14YaTAStphERiRX1gTLASmA5sAxYF2YgkRwaGRERiRFmZgSjI4dHPvYH1gBfuPtNYWaT2KZiREQkxphZXeAIgoLkNKCqu1cKNZTENBUjIiIxwMwu558RkQwiy3ojH9+5e3aI8STGaTWNiEhsaAi8DAxz9xUhZxHZhkZGREREJFRaTSMiIiKhUjEiIiIioVIxIjHFzBabWUMzmxHLGUREihIVIyIiIhIqFSMSa1YBWQQbPWFm55nZq2b2tpn9Ymb35LzQzB4zs5lm9r2Z3ZKrfbGZ3Wlm30aeP8jM3jGzhWZ2ca7XXWVm35jZvNzv3z6DiEis09JeiSnu3iHysFuu5gOBtkAasMDMHnL3pcD17r7GzOKB982stbvPi7znd3c/0MweAJ4l2EAqEZgPjDGzTkAT4GDAgKlmdrS7f7yDDCIiMUvFiAi87+7rAczsB6ABsBToaWYDCb5PagMtgZxiZGrkz++AJHffCGw0szQzqwR0inzMibwuiaA4+Tj6fx0RkeJFxYhIMCKSIwsoZWb7AlcCHdx9rZk9SzDysf17srd7fzbB95UBd7r741FLLSJSQmjOiEjeKgCbgPVmVhM4eTff/w4wwMySAMysjpnVKOCMIiIlgkZGRPLg7nPNbA7wE8Etm8928/3TzawF8EVwUCopwDnAXwWdVUSkuNN28CIiIhIq3aYRERGRUKkYERERkVCpGBEREZFQqRgRERGRUKkYERERkVCpGBEREZFQqRgRERGRUKkYERERkVD9P7qqJ1KbeD8yAAAAAElFTkSuQmCC", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# results for Brodka\n", "polish_tracks.search(\"LOWER(artists) LIKE '%brodka%'\",\n", " usecols = ['popularity', 'name', 'estimated_popularity']).plot(\n", " ts='name', columns=['popularity', 'estimated_popularity'])" ] }, { "cell_type": "code", "execution_count": 52, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 52, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# results for Brodka\n", "polish_tracks.search(\"LOWER(artists) LIKE '%akcent%'\",\n", " usecols = ['popularity', 'name', 'estimated_popularity']).plot(\n", " ts='name', columns=['popularity', 'estimated_popularity'])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Group Artists using Track Features" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "While our tracks don't have an explicit \"genre\" feature, we can approximate the effect by grouping artists based on their tracks' numerical features.\n", "\n", "Let's start by taking the averages of these numerical features for each artist." ] }, { "cell_type": "code", "execution_count": 55, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
Abc
Varchar(156)
Abc
Varchar(100)
123
danceability
Float
123
energy
Float
123
speechiness
Float
123
acousticness
Float
123
instrumentalness
Float
123
valence
Float
123
liveness
Float
10.6677631578947370.7790965047042410.3090630807915160.1116080402010050.0009263050153531220.6985055909708430.145271317829457
20.1151315789473680.2268377664648410.01393899639225950.9783919597989950.00.09097084334831250.157105943152454
30.7269736842105270.5848018395236520.01377500819940950.1998994974874370.02146519959058340.8322708746995510.048372093023256
40.68750.6616160094787680.0761998469443530.1085427135678391.97543500511771e-060.8348834778973770.083100775193798
50.6721491228070180.7349158056450880.0115884989614080.4623115577889450.00.7930818267321560.10077519379845
60.4195574162679430.6368784693030860.03523261476688830.4657469164001830.002573704289569180.5652628278817010.184947145877378
70.5559210526315790.9256960970368810.1133705039903790.0073366834170850.00.7241091023095410.089405684754522
80.7478070175438590.8689640630177420.09844757844101850.1643216080402010.0005731832139201640.6185599331173580.14687338501292
90.3739035087719290.3513470092679060.0312124193724720.6527638190954780.00.5595151008464830.572093023255814
100.5515350877192980.5973531744836380.28501147917350.1638190954773870.00.3363987877521160.561757105943152
110.623903508771930.8413511261057730.0037170657046030.0004020100502510.05834186284544520.3510293656599440.67235142118863
120.6809210526315790.8815153979777290.1680332349404180.345728643216080.00.4544884522938660.160723514211886
130.6392543859649120.5943408540932410.0642833715972450.7768844221105530.00.8902706656912950.1328165374677
140.6984649122807020.5461437278468940.0243795780037170.3758793969849250.00.8902706656912950.236175710594315
150.5394736842105270.4723418782821740.01355635727560950.2915577889447240.00.4409029156651690.246511627906977
160.7796052631578950.6847104658051430.2773586968404940.4613065326633170.00.642595882537360.257881136950904
170.4002192982456140.6796899318211480.5299005138296710.6733668341708540.00.6749921621904070.093540051679587
180.6776315789473680.6495667279171810.1734995080354210.056783919597991.48413510747185e-060.4304525028738640.037416020671835
190.8366228070175440.8654496892289460.04963375970263470.1114907872696820.001321183896281130.9487929773226040.144289405684755
200.7017543859649120.751985621190670.0330162894938230.0261306532663320.0002313203684749230.8662347162712930.2671834625323
210.6052631578947370.7108172425219150.1778725265114250.0372864321608040.00.7502351342878040.01922480620155
220.8234649122807020.6073942424516270.157100688750410.6361809045226131.18730808597748e-060.3604347371721180.12764857881137
230.1998050682261210.9208986978966190.09477302819382180.0005695142378561110.1307180382122140.297093624087040.290152167671548
240.9166666666666670.7730718639234470.0936919208483660.2190954773869350.001740020470829070.821297941268680.341602067183463
250.8464912280701750.6676406502595620.0392478408221270.1437185929648244.82088024564995e-050.483749608109520.262015503875969
260.8149122807017540.7357190910825280.2817317153164970.2436783919597990.00.7197199289371930.168124031007752
270.497807017543860.5431314074564970.1210232863233850.1185929648241210.0006018423746161720.4513533284564740.11421188630491
280.5559210526315790.5732546113604650.01087788345905750.7256281407035180.002055527123848520.5887762566621390.143152454780362
290.4462719298245610.6515749415107790.0360774024270250.0242211055276380.0002139201637666330.6927578639356250.297157622739018
300.4528508771929820.3995441355142530.0154148901279110.870351758793973.13203684749232e-050.1880029261155820.106976744186047
310.8706140350877190.7406057441602820.3159870267118550.2954773869346731.37154554759468e-060.8171177761521580.0642549526270457
320.7565789473684210.798174533843420.3374877008855360.5698492462311560.00.7261991848678020.078449612403101
330.5532163742690060.5242541996766780.05874421486097450.3366030150753770.0007916751961787790.6604730553523530.151138673557278
340.7927631578947370.6746693978371540.2380015305564670.0979899497487440.00.3572996133347270.209302325581395
350.5109649122807020.7831129318914360.1625669618454140.0146733668341710.00.2109938342564530.099741602067183
360.7708333333333330.7319034852546920.0585984475784410.3577889447236180.00.7857665377782420.139018087855297
370.5652412280701760.6365133395587950.07800371706570450.2175376884422113.11412487205732e-050.263245898212980.068888888888889
380.9287280701754390.6274763783876050.1636602164644150.0117587939698490.00.4868847319469120.152454780361757
390.6721491228070180.7891375726722290.0925986662293650.0293467336683420.00.5955690249764870.297157622739018
400.4522823261858350.1802620867496210.0304653620494880.8304113158384520.001414724212441720.4322561667111780.186865728777873
410.7094298245614040.6816981454147460.0355307751175250.5829145728643221.6171954964176e-060.7962169505695470.304392764857881
420.7971491228070180.6686447570563610.1483546517984040.3045226130653270.00.2015884627442780.085478036175711
430.4728618421052630.6242130312980090.0103039247840820.3345728643216080.07370059109518940.3968282997178390.243152454780362
440.3004385964912280.7670472231426530.057067891111840.1798994974874370.00.5945239836973560.198966408268734
450.7631578947368420.5782751453444590.0345468459604240.2201005025125630.4360286591606960.1576967290207960.381912144702842
460.7214912280701750.3774537859846770.014977588280310.5286432160804021.7093142272262e-060.1859128435573210.155555555555556
470.8453947368421050.7198542036931040.257133486388980.2152763819095482.11873080859775e-060.3468492005434210.0931782945736435
480.6557017543859650.9056139611009030.0724827812397510.1256281407035180.00.3468492005434210.259948320413437
490.8168859649122810.5180287375365240.328741663933530.2814070351758790.00.5328665482286550.037519379844961
500.6798245614035090.7936560532578250.06909369192084850.1603015075376895.88536335721597e-060.463893823806040.20671834625323
510.8651315789473680.8092197086082080.1800590357494260.0497487437185930.00.6676768732364930.335400516795866
520.400097465886940.8709164929004070.1189825443679170.03332216638749317.56795177982486e-050.6019553883489510.180361757105943
530.5065789473684210.3332730869255250.09582376735541750.7447236180904520.0001632497441146370.4325425854321250.101602067183462
540.6074561403508770.8855318251649250.4293210888816010.2804020100502510.00.6070644790469220.07266149870801
550.7933114035087720.4658151841029820.357166284027550.2175879396984920.00.7742710837078070.068423772609819
560.4089912280701750.4889096404293560.0524762217120370.1527638190954770.02210849539406350.265335980771240.084134366925065
570.4605263157894740.3185461872391410.023650741591050.6515912897822450.02293759808938930.2939004424008080.184840654608096
580.5058479532163740.5655564592516730.02140956962209830.3474036850921270.3275332650972360.6641934023060580.132575366063738
590.8552631578947370.8102238154050060.2598666229364820.1467336683417090.00.9132615738321660.395348837209302
600.6502192982456140.853400407667360.1494479064174050.2874371859296480.0003561924257932450.5882537360225730.336434108527132
610.5650584795321640.3678589877041550.05507573825054990.785371300949191.47617422950074e-060.5206743999721320.208693654895205
620.6732456140350880.5873121065156490.0071061550235050.2502512562814070.00.8536942209217260.185529715762274
630.5350877192982460.7168418833027080.4063627418825840.0925628140703520.00.7293343087051940.06749354005168
640.7061403508771930.7710636503298490.0473379250027330.028944723618090.00.5255512592747410.293023255813953
650.7258771929824560.9518028737536520.0359680769651250.0642211055276380.0004667349027635620.9320723168565160.034108527131783
660.6003289473684210.7745780241186460.02339564884661650.0757788944723623.03480040941658e-060.4304525028738630.117829457364341
670.8377192982456140.6355092327619970.3353011916475350.2603015075376880.00.820252899989550.287855297157623
680.5043859649122810.63249691237160.0194599322182140.4050251256281410.00.3959661406625560.10594315245478
690.4923245614035090.8393429125121750.2347217666994640.0482412060301519.58034800409417e-060.2559306092590660.706459948320413
700.5734649122807020.6997720677571270.1494479064174050.1437185929648240.00.821297941268680.171059431524548
710.8673245614035090.6776817182275510.167304398527750.1408375209380230.00.4844463022956070.291645133505599
720.5540935672514620.4781991679301680.01271819540104230.5905192629815740.2177482088024570.4788727488069110.132540913006029
730.7006578947368420.8016889076322150.3271017820050290.4110552763819090.00.7889016616156330.435658914728682
740.6726973684210530.4912525562885530.01169782442330820.7700167504187610.2384206772432620.3515518862995090.0921274763135228
750.5778508771929820.6917392133827350.0122444517328090.5236180904522616.16171954964176e-060.7700909185912840.254780361757106
760.7061403508771930.6816981454147460.3014102984585110.5356783919597990.04104401228249740.821297941268680.079896640826873
770.6176900584795320.5961259328431060.01191647534710830.2423673925181460.009126209484817470.7145876150996850.098409417169107
780.8223684210526320.5210410579269210.1909915819394340.3547738693467340.00.4618037412477790.301291989664083
790.7763157894736840.3784578927814760.0228490215371160.6824120603015080.03868986693961110.8254781063852020.091472868217054
800.6491228070175440.8282977377473870.0074341314092050.0568844221105530.00.920576862786080.061808785529716
810.5464912280701750.8789047203060520.04587296381327220.0353969849246232.38894575230297e-060.7163757968439750.179555555555556
820.6067251461988310.9507987669568530.1127874348602460.09742043551088771.79119754350051e-060.615773156373010.195176571920758
830.6337719298245610.5109999899589320.3680988302175580.2522613065326630.00.523461176716480.126614987080103
840.5333333333333330.3818718558905930.0087023067672460.7015075376884421.82599795291709e-050.606646462535270.145012919896641
850.811403508771930.5822915725316540.4227615611675960.145728643216084.28863868986694e-060.6687219145156230.236175710594315
860.4111058897243110.3003957615217670.02406982252833350.7838478104809760.00987866281620120.4628736644621270.202726713424388
870.6414473684210530.5521683686276870.2445610582704710.5527638190954770.00.2318946598390640.086821705426357
880.6140350877192980.7274854153487760.01034218869574740.3154974874371860.002433797338792220.915769672902080.214346253229974
890.2105263157894740.329256659738330.0242702525418170.7618090452261310.0005547594677584440.1273905319260110.10594315245478
900.2452485380116960.0237069614724220.02037097773404770.9976549413735340.9314227226202660.0427770230257430.0833074935400513
910.8410087719298250.9528069805504510.0486498305455340.0220100502512560.00.9122165325530360.011886304909561
920.7807017543859650.705796708537920.0228490215371160.1949748743718591.69907881269191e-060.7293343087051940.164857881136951
930.7686403508771930.8965769999297130.1363288509893950.0559798994974870.00.6843975337025810.097674418604651
940.7236842105263160.8021909610306150.1942713457964360.0768844221105530.00.6206500156756190.049819121447028
950.7949561403508770.8272936309505880.3210888816005250.0997989949748740.00.5213710941582190.104909560723514
960.8930921052631580.6018716550692330.371925221384060.2211055276381910.00.8960183927265130.145839793281654
970.8037280701754390.595344960890040.2073904012244450.5587939698492460.00.7356045563799770.096640826873385
980.7173793859649120.6974500707895290.2726440362960530.1864384422110550.009375309621289660.6576836660048070.218695090439276
990.8980263157894740.5451396210500950.5747239532087020.1055276381909552.80450358239509e-060.2966872191451560.102842377260982
1000.6151315789473680.4989507083973450.0168361211326120.7899497487437192.58955987717503e-060.8421987668512910.09250645994832
Rows: 1-100 | Columns: 9
" ], "text/plain": [ " id_artists artists \\\\\n", "1 ['2h2nL9Hk4GQNcFm7fYV5ck'] ['Fokus'] \\\\\n", "2 ['3jcmczo44yQB1kIDWe5gxY', '75LR4EwgI... ['Paweł Bębenek', 'Dominikański Ośrod... \\\\\n", "3 ['3PfkQWRO7rxkx0Z9Gs5MmB'] ['Buzu Squat'] \\\\\n", "4 ['1SKeSGQ3LMHYCEgqFGvJbE', '10JL3Ityc... ['Krzysztof Krawczyk', 'Muniek Staszc... \\\\\n", "5 ['2gxtR1B9ivIaXO9LMR0R7X', '1nHXvuz8v... ['Verba', 'Rezerwat'] \\\\\n", "6 ['3iReVSIR5lImDswEWCMqAG'] ['Dzamble'] \\\\\n", "7 ['1mmtkBkOsrKeOLJBQgFJoD'] ['Power Of Trinity'] \\\\\n", "8 ['1qyadEaAHlRgdtf5F2YA4F'] ['Sidney Polak'] \\\\\n", "9 ['5bQZCiENsgmW4SvUOc86qI', '48ZMcpo8g... ['Grzegorz Turnau', 'Andrzej Sikorows... \\\\\n", "10 ['03FgbE2vKKVEFBFHi8IfJG', '3MblUyzg5... ['Chada', 'Hades', 'ZBUKU'] \\\\\n", "11 ['4D22jVMhvZgzvt8Hh9AcKY', '2rfP10XRD... ['Brodka', 'A_GIM'] \\\\\n", "12 ['7IJs2eCpPWcUbaFtbZolhR'] ['PMM'] \\\\\n", "13 ['5ag7w8ET19zzERN4F5We42'] ['Karin Stanek'] \\\\\n", "14 ['6jEmFzQnu1bB5tP23Jvw7e'] ['Zdzisława Sośnicka'] \\\\\n", "15 ['3aCs1G6pzqfRCVhBdEoPBZ'] ['Jauntix'] \\\\\n", "16 ['4RoVw3AbSvjr1KFpzjBZgA', '4nRJJWVfb... ['Josef Bratan', 'OLEK', 'Swizzy', 'M... \\\\\n", "17 ['5XKQ8fa0WdWBmgMFDmctCO', '4U3Mh4fpz... ['Vixen', 'Mery Spolsky'] \\\\\n", "18 ['3bS0MLzGAoO6lLUy7gguHY', '37Pprth5H... ['Fukaj', 'charlie moncler'] \\\\\n", "19 ['2rbgaZ9RvSFEApTsLPYLh5'] ['Skaner'] \\\\\n", "20 ['3YKDQwFsJl1Y9oBDWeO8jh'] ['Hurt'] \\\\\n", "21 ['3yCRvilOBzRkyxOsOi4tsR', '2v295z585... ['Viki Gabor', 'Kayah'] \\\\\n", "22 ['5GwdnlZaSwKpHmjcAijATP', '3Mnrb43jb... ['Smolasty', 'Qry'] \\\\\n", "23 ['6wX80LLylzviIaxow8IDf0'] ['Armia'] \\\\\n", "24 ['6uXPdkcF1OSFxmG7gF22rt', '1Kjs5u8GQ... ['Abel de Jong', 'Malik Montana', 'Mr... \\\\\n", "25 ['7CJgLPEqiIRuneZSolpawQ', '6EB8VE9f7... ['Taco Hemingway', 'Dawid Podsiadło',... \\\\\n", "26 ['5IQZA1dxUd3Qv73mHNln59', '5G2bin17k... ['Peja', 'Slums Attack'] \\\\\n", "27 ['1HX9uYVwH6HHGyE8xSgtUD', '2hnyMG1Du... ['Julia Wieniawa', 'Zeppy Zep'] \\\\\n", "28 ['4n44SROLP2vIR9HkYvwv8s'] ['Limboski'] \\\\\n", "29 ['7vYfq6OMlGDw1IpTxar2h2', '6EB8VE9f7... ['Patrick the Pan', 'Dawid Podsiadło'] \\\\\n", "30 ['6jEmFzQnu1bB5tP23Jvw7e', '4WNxiqxAH... ['Zdzisława Sośnicka', 'Zbigniew Wode... \\\\\n", "31 ['1efYxTvCNTpqYqfiEsxawq'] ['Jacuś'] \\\\\n", "32 ['5BrkebliJMRAGRPg8NRDGi'] ['Szopeen'] \\\\\n", "33 ['3jDEqxckloWOCT1l7l1hJT'] ['Andrzej Zaucha'] \\\\\n", "34 ['7v49oVVUhvIQG5EK0jkcF7', '5mRRBVuAc... ['PRO8L3M', 'Majka Jeżowska'] \\\\\n", "35 ['56VhOZOF6hwqrbNYwkmcsH', '3gm9b6AeM... ['Sobel', 'Deemz'] \\\\\n", "36 ['3gm9b6AeMf2eGQTLashkDt', '5GwdnlZaS... ['Deemz', 'Smolasty', 'Sobel'] \\\\\n", "37 ['0RGqYHpCdjYsgMDeDYVSmm'] ['Hans Solo'] \\\\\n", "38 ['1A6HQzOvtGaCYihOuIKjE6', '4Q3xLVaD2... ['Mr. Polska', 'Kabe', 'Kizo'] \\\\\n", "39 ['5Q5WdRs96HgbxdVIfhHqt2', '6QfFTZJHF... ['Borixon', 'Reto', 'Żabson'] \\\\\n", "40 ['0o7p9WUBNSwNwLXOi87H0y'] ['Sława Przybylska'] \\\\\n", "41 ['24QgYKvd5QN6QFX7ZXEl40'] ['Marek Dyjak'] \\\\\n", "42 ['6gvVFtkTV4OCyQSCzGgU1h', '28oxY7ZfD... ['Nik Tendo', 'Robin Zoot', 'Young Le... \\\\\n", "43 ['3aMZqYBkJSpuNf0dWA4C4V'] ['Lombard'] \\\\\n", "44 ['6JMMItXorCRjzNQeGDd863'] ['Antek Smykiewicz'] \\\\\n", "45 ['4E8L0A5xtDhcMaeBO7p0eg'] ['Bovska'] \\\\\n", "46 ['0gGAo7qaMlnNcngFKl3myA'] ['Hanna Banaszak'] \\\\\n", "47 ['76Uu7lnLuTOmH2eZsKZTan'] ['Kubańczyk'] \\\\\n", "48 ['6e14dV47cVGbpJqh1SNyFX', '2oRTLExi1... ['Edyta Gorniak', 'Gromee'] \\\\\n", "49 ['3B6UKFIsDwnJUKlJp7qQyU', '0awWNjR5q... ['Hodak', '2K', 'Deemz'] \\\\\n", "50 ['5I43kSij6NMn1TLKPTDfe1'] ['Pokój z Widokiem na Wojnę'] \\\\\n", "51 ['5iM4dDbBN6a4OqxKPuxgS6', '6YFFJXCSm... ['Major SPZ', 'Matheo'] \\\\\n", "52 ['4DPdJVsnD20hzE5msh7SvP'] ['The Analogs'] \\\\\n", "53 ['3LXCjDhtneqRoyDI5CiICi'] ['Wanda Warska'] \\\\\n", "54 ['7v49oVVUhvIQG5EK0jkcF7', '3U5Oag04Y... ['PRO8L3M', 'Kukon', 'The Returners',... \\\\\n", "55 ['5IQZA1dxUd3Qv73mHNln59', '5G2bin17k... ['Peja', 'Slums Attack', 'Medi Top Gl... \\\\\n", "56 ['4z93wkjfGntA0XFqnv4wj7', '2v295z585... ['Pezet', 'Kayah'] \\\\\n", "57 ['7E1cYTM1165LXxLhY82iV0'] ['Martyna Jakubowicz'] \\\\\n", "58 ['0G2VUqbZ4C28aN9y41Wp3G'] ['Jerzy Milian'] \\\\\n", "59 ['0MaSZtK5rLCLPbMNdWQIL9', '5xT1vs5QI... ['WWO', 'Hemp Gru'] \\\\\n", "60 ['4nPxrGG7k7aEKmNLsfX4cd', '3gm9b6AeM... ['White 2115', 'Deemz'] \\\\\n", "61 ['53p5kiC47oEvG9E4VKDNl2', '5349gIXYm... ['Jacek Kaczmarski', 'Przemyslaw Gint... \\\\\n", "62 ['3JIRLDbCJ55I5nevDYiasK', '23h87JEy6... ['Anita Lipnicka', 'John Porter'] \\\\\n", "63 ['5nuF8QjV4BtabUeBaXzzwK', '193IS0Qx1... ['Eldo', 'HI-FI Banda'] \\\\\n", "64 ['1jWDblyJH2DelrPyt87yZV', '0ZXDvZqBz... ['Donatan', 'Cleo', 'Enej'] \\\\\n", "65 ['2m8SvIptPjJzhHvHiwzNW1'] ['Maxel'] \\\\\n", "66 ['2CiMCmeBorjSa1ppz6wY6s', '2TRVhYMkH... ['Liber', 'Sylwia Grzeszczak'] \\\\\n", "67 ['5Q5WdRs96HgbxdVIfhHqt2'] ['Borixon'] \\\\\n", "68 ['5KTMtd3GnDdcWnwxcEBwKX'] ['Igor Herbut'] \\\\\n", "69 ['1o4AZqsyHFTzs3g4hR1WJX'] ['Tadeusz Wozniak'] \\\\\n", "70 ['3sTqoPeltS3vPdMisgGQdv'] ['Czarno-Czarni'] \\\\\n", "71 ['77QIEno3j2L5WkrHkh2OnP', '38iqZSGa2... ['Sir Mich', 'TEDE'] \\\\\n", "72 ['4vC1DrwqCb43puGttDWlwL'] ['Voo Voo'] \\\\\n", "73 ['2IHoZ3RrDJIikMRsYgHjhy', '0x4xJCGDy... ['Kizo', 'Trill Pem'] \\\\\n", "74 ['53l3yjX8ITilPIlCRsVKEB'] ['Kwiat Jabłoni'] \\\\\n", "75 ['3gd9XZQnyJXTVfLZh1BF6v', '1AnN7D0tG... ['Ewelina Flinta', 'Łukasz Zagrobelny'] \\\\\n", "76 ['5IQZA1dxUd3Qv73mHNln59', '5G2bin17k... ['Peja', 'Slums Attack', 'Iceman'] \\\\\n", "77 ['4CVOP5NrfTIzw0vBWw7GyT'] ['News'] \\\\\n", "78 ['44FnIf8PhG6EQRIoENsXu3', '2LI7lXaNJ... ['Janusz Walczuk', 'Pedro'] \\\\\n", "79 ['21duhyZJK8hendNaT1yM7p'] ['Maciej Zembaty'] \\\\\n", "80 ['45gKB5AD7ADgQJUZNNPIXm'] ['Piotr Fronczewski'] \\\\\n", "81 ['3O9bFJBTRddC4HOsZixhuw'] ['Farben Lehre'] \\\\\n", "82 ['3FsSVftcI1h7LpH1NYI5nS'] ['Bracia Figo Fagot'] \\\\\n", "83 ['3U5Oag04Yl2WnvPULOlsMD', '1fxbULcd6... ['Kukon', 'Quebonafide'] \\\\\n", "84 ['7azNw2uelFqF31bcwbW4h6'] ['Andrzej Dabrowski'] \\\\\n", "85 ['0AEQNlJAZeghMaFyIYfrQG', '2ufQfSFDF... ['SB Maffija', 'Białas', 'Jan-Rapowan... \\\\\n", "86 ['0z300uEtGh3BdYBC3vpnPW'] ['Irena Santor'] \\\\\n", "87 ['5Q5WdRs96HgbxdVIfhHqt2', '6QfFTZJHF... ['Borixon', 'Reto'] \\\\\n", "88 ['6v7jmixV5xmTHA1l6NDpYn', '7Ft8vHNJa... ['Yugopolis', 'Maciej Maleńczuk'] \\\\\n", "89 ['65FjGPOwkkMjr9c15hm8Gf'] ['Bogusław Mec'] \\\\\n", "90 ['2wOqMjp9TyABvtHdOSOTUS', '6vIKIoSuj... ['Ludwig van Beethoven', 'Mieczysław ... \\\\\n", "91 ['6vfE0PM9ijfj7v3AtfyyaB'] ['Joker & Sequence'] \\\\\n", "92 ['0GQZc3zcll9HXIVaUA1XzJ'] ['Tabu'] \\\\\n", "93 ['6kXyafTq44C46vNkXBpOT1', '5ltSXFgq2... ['Bez Cenzury', 'Mercedresu', 'Foster'] \\\\\n", "94 ['6WIjuTnfwFnp9GAU8dIMrU'] ['Kaczor'] \\\\\n", "95 ['2W4S38H7nVYzH3O3m8CqM4', '4rneSQYWh... ['WIP Bros', 'Ekipa'] \\\\\n", "96 ['4Q3xLVaD2uBZGVxmCYuSkt', '2IHoZ3RrD... ['Kabe', 'Kizo'] \\\\\n", "97 ['5hqRsNHDZH1jHzI9LgxFRZ', '1silJqJQf... ['Filipek', 'Tymek'] \\\\\n", "98 ['0MaSZtK5rLCLPbMNdWQIL9'] ['WWO'] \\\\\n", "99 ['2L5NIiBRiidSecXHHTB1Hm', '20r0ktk5o... ['Szczyl', 'Agatka Mierzwa'] \\\\\n", "100 ['7MpxTazRiVFRsFJQdIJ3Mj', '5DKRhR2XT... ['Jana Jakubcová', 'Martin Danko', 'V... \\\\\n", " danceability energy speechiness \\\\\n", "1 0.667763157894737 0.779096504704241 0.309063080791516 \\\\\n", "2 0.115131578947368 0.226837766464841 0.0139389963922595 \\\\\n", "3 0.726973684210527 0.584801839523652 0.0137750081994095 \\\\\n", "4 0.6875 0.661616009478768 0.076199846944353 \\\\\n", "5 0.672149122807018 0.734915805645088 0.011588498961408 \\\\\n", "6 0.419557416267943 0.636878469303086 0.0352326147668883 \\\\\n", "7 0.555921052631579 0.925696097036881 0.113370503990379 \\\\\n", "8 0.747807017543859 0.868964063017742 0.0984475784410185 \\\\\n", "9 0.373903508771929 0.351347009267906 0.031212419372472 \\\\\n", "10 0.551535087719298 0.597353174483638 0.2850114791735 \\\\\n", "11 0.62390350877193 0.841351126105773 0.003717065704603 \\\\\n", "12 0.680921052631579 0.881515397977729 0.168033234940418 \\\\\n", "13 0.639254385964912 0.594340854093241 0.064283371597245 \\\\\n", "14 0.698464912280702 0.546143727846894 0.024379578003717 \\\\\n", "15 0.539473684210527 0.472341878282174 0.0135563572756095 \\\\\n", "16 0.779605263157895 0.684710465805143 0.277358696840494 \\\\\n", "17 0.400219298245614 0.679689931821148 0.529900513829671 \\\\\n", "18 0.677631578947368 0.649566727917181 0.173499508035421 \\\\\n", "19 0.836622807017544 0.865449689228946 0.0496337597026347 \\\\\n", "20 0.701754385964912 0.75198562119067 0.033016289493823 \\\\\n", "21 0.605263157894737 0.710817242521915 0.177872526511425 \\\\\n", "22 0.823464912280702 0.607394242451627 0.15710068875041 \\\\\n", "23 0.199805068226121 0.920898697896619 0.0947730281938218 \\\\\n", "24 0.916666666666667 0.773071863923447 0.093691920848366 \\\\\n", "25 0.846491228070175 0.667640650259562 0.039247840822127 \\\\\n", "26 0.814912280701754 0.735719091082528 0.281731715316497 \\\\\n", "27 0.49780701754386 0.543131407456497 0.121023286323385 \\\\\n", "28 0.555921052631579 0.573254611360465 0.0108778834590575 \\\\\n", "29 0.446271929824561 0.651574941510779 0.036077402427025 \\\\\n", "30 0.452850877192982 0.399544135514253 0.015414890127911 \\\\\n", "31 0.870614035087719 0.740605744160282 0.315987026711855 \\\\\n", "32 0.756578947368421 0.79817453384342 0.337487700885536 \\\\\n", "33 0.553216374269006 0.524254199676678 0.0587442148609745 \\\\\n", "34 0.792763157894737 0.674669397837154 0.238001530556467 \\\\\n", "35 0.510964912280702 0.783112931891436 0.162566961845414 \\\\\n", "36 0.770833333333333 0.731903485254692 0.058598447578441 \\\\\n", "37 0.565241228070176 0.636513339558795 0.0780037170657045 \\\\\n", "38 0.928728070175439 0.627476378387605 0.163660216464415 \\\\\n", "39 0.672149122807018 0.789137572672229 0.092598666229365 \\\\\n", "40 0.452282326185835 0.180262086749621 0.030465362049488 \\\\\n", "41 0.709429824561404 0.681698145414746 0.035530775117525 \\\\\n", "42 0.797149122807018 0.668644757056361 0.148354651798404 \\\\\n", "43 0.472861842105263 0.624213031298009 0.010303924784082 \\\\\n", "44 0.300438596491228 0.767047223142653 0.05706789111184 \\\\\n", "45 0.763157894736842 0.578275145344459 0.034546845960424 \\\\\n", "46 0.721491228070175 0.377453785984677 0.01497758828031 \\\\\n", "47 0.845394736842105 0.719854203693104 0.25713348638898 \\\\\n", "48 0.655701754385965 0.905613961100903 0.072482781239751 \\\\\n", "49 0.816885964912281 0.518028737536524 0.32874166393353 \\\\\n", "50 0.679824561403509 0.793656053257825 0.0690936919208485 \\\\\n", "51 0.865131578947368 0.809219708608208 0.180059035749426 \\\\\n", "52 0.40009746588694 0.870916492900407 0.118982544367917 \\\\\n", "53 0.506578947368421 0.333273086925525 0.0958237673554175 \\\\\n", "54 0.607456140350877 0.885531825164925 0.429321088881601 \\\\\n", "55 0.793311403508772 0.465815184102982 0.35716628402755 \\\\\n", "56 0.408991228070175 0.488909640429356 0.052476221712037 \\\\\n", "57 0.460526315789474 0.318546187239141 0.02365074159105 \\\\\n", "58 0.505847953216374 0.565556459251673 0.0214095696220983 \\\\\n", "59 0.855263157894737 0.810223815405006 0.259866622936482 \\\\\n", "60 0.650219298245614 0.85340040766736 0.149447906417405 \\\\\n", "61 0.565058479532164 0.367858987704155 0.0550757382505499 \\\\\n", "62 0.673245614035088 0.587312106515649 0.007106155023505 \\\\\n", "63 0.535087719298246 0.716841883302708 0.406362741882584 \\\\\n", "64 0.706140350877193 0.771063650329849 0.047337925002733 \\\\\n", "65 0.725877192982456 0.951802873753652 0.035968076965125 \\\\\n", "66 0.600328947368421 0.774578024118646 0.0233956488466165 \\\\\n", "67 0.837719298245614 0.635509232761997 0.335301191647535 \\\\\n", "68 0.504385964912281 0.6324969123716 0.019459932218214 \\\\\n", "69 0.492324561403509 0.839342912512175 0.234721766699464 \\\\\n", "70 0.573464912280702 0.699772067757127 0.149447906417405 \\\\\n", "71 0.867324561403509 0.677681718227551 0.16730439852775 \\\\\n", "72 0.554093567251462 0.478199167930168 0.0127181954010423 \\\\\n", "73 0.700657894736842 0.801688907632215 0.327101782005029 \\\\\n", "74 0.672697368421053 0.491252556288553 0.0116978244233082 \\\\\n", "75 0.577850877192982 0.691739213382735 0.012244451732809 \\\\\n", "76 0.706140350877193 0.681698145414746 0.301410298458511 \\\\\n", "77 0.617690058479532 0.596125932843106 0.0119164753471083 \\\\\n", "78 0.822368421052632 0.521041057926921 0.190991581939434 \\\\\n", "79 0.776315789473684 0.378457892781476 0.022849021537116 \\\\\n", "80 0.649122807017544 0.828297737747387 0.007434131409205 \\\\\n", "81 0.546491228070175 0.878904720306052 0.0458729638132722 \\\\\n", "82 0.606725146198831 0.950798766956853 0.112787434860246 \\\\\n", "83 0.633771929824561 0.510999989958932 0.368098830217558 \\\\\n", "84 0.533333333333333 0.381871855890593 0.008702306767246 \\\\\n", "85 0.81140350877193 0.582291572531654 0.422761561167596 \\\\\n", "86 0.411105889724311 0.300395761521767 0.0240698225283335 \\\\\n", "87 0.641447368421053 0.552168368627687 0.244561058270471 \\\\\n", "88 0.614035087719298 0.727485415348776 0.0103421886957474 \\\\\n", "89 0.210526315789474 0.32925665973833 0.024270252541817 \\\\\n", "90 0.245248538011696 0.023706961472422 0.0203709777340477 \\\\\n", "91 0.841008771929825 0.952806980550451 0.048649830545534 \\\\\n", "92 0.780701754385965 0.70579670853792 0.022849021537116 \\\\\n", "93 0.768640350877193 0.896576999929713 0.136328850989395 \\\\\n", "94 0.723684210526316 0.802190961030615 0.194271345796436 \\\\\n", "95 0.794956140350877 0.827293630950588 0.321088881600525 \\\\\n", "96 0.893092105263158 0.601871655069233 0.37192522138406 \\\\\n", "97 0.803728070175439 0.59534496089004 0.207390401224445 \\\\\n", "98 0.717379385964912 0.697450070789529 0.272644036296053 \\\\\n", "99 0.898026315789474 0.545139621050095 0.574723953208702 \\\\\n", "100 0.615131578947368 0.498950708397345 0.016836121132612 \\\\\n", " acousticness instrumentalness valence \\\\\n", "1 0.111608040201005 0.000926305015353122 0.698505590970843 \\\\\n", "2 0.978391959798995 0.0 0.0909708433483125 \\\\\n", "3 0.199899497487437 0.0214651995905834 0.832270874699551 \\\\\n", "4 0.108542713567839 1.97543500511771e-06 0.834883477897377 \\\\\n", "5 0.462311557788945 0.0 0.793081826732156 \\\\\n", "6 0.465746916400183 0.00257370428956918 0.565262827881701 \\\\\n", "7 0.007336683417085 0.0 0.724109102309541 \\\\\n", "8 0.164321608040201 0.000573183213920164 0.618559933117358 \\\\\n", "9 0.652763819095478 0.0 0.559515100846483 \\\\\n", "10 0.163819095477387 0.0 0.336398787752116 \\\\\n", "11 0.000402010050251 0.0583418628454452 0.351029365659944 \\\\\n", "12 0.34572864321608 0.0 0.454488452293866 \\\\\n", "13 0.776884422110553 0.0 0.890270665691295 \\\\\n", "14 0.375879396984925 0.0 0.890270665691295 \\\\\n", "15 0.291557788944724 0.0 0.440902915665169 \\\\\n", "16 0.461306532663317 0.0 0.64259588253736 \\\\\n", "17 0.673366834170854 0.0 0.674992162190407 \\\\\n", "18 0.05678391959799 1.48413510747185e-06 0.430452502873864 \\\\\n", "19 0.111490787269682 0.00132118389628113 0.948792977322604 \\\\\n", "20 0.026130653266332 0.000231320368474923 0.866234716271293 \\\\\n", "21 0.037286432160804 0.0 0.750235134287804 \\\\\n", "22 0.636180904522613 1.18730808597748e-06 0.360434737172118 \\\\\n", "23 0.000569514237856111 0.130718038212214 0.29709362408704 \\\\\n", "24 0.219095477386935 0.00174002047082907 0.82129794126868 \\\\\n", "25 0.143718592964824 4.82088024564995e-05 0.48374960810952 \\\\\n", "26 0.243678391959799 0.0 0.719719928937193 \\\\\n", "27 0.118592964824121 0.000601842374616172 0.451353328456474 \\\\\n", "28 0.725628140703518 0.00205552712384852 0.588776256662139 \\\\\n", "29 0.024221105527638 0.000213920163766633 0.692757863935625 \\\\\n", "30 0.87035175879397 3.13203684749232e-05 0.188002926115582 \\\\\n", "31 0.295477386934673 1.37154554759468e-06 0.817117776152158 \\\\\n", "32 0.569849246231156 0.0 0.726199184867802 \\\\\n", "33 0.336603015075377 0.000791675196178779 0.660473055352353 \\\\\n", "34 0.097989949748744 0.0 0.357299613334727 \\\\\n", "35 0.014673366834171 0.0 0.210993834256453 \\\\\n", "36 0.357788944723618 0.0 0.785766537778242 \\\\\n", "37 0.217537688442211 3.11412487205732e-05 0.26324589821298 \\\\\n", "38 0.011758793969849 0.0 0.486884731946912 \\\\\n", "39 0.029346733668342 0.0 0.595569024976487 \\\\\n", "40 0.830411315838452 0.00141472421244172 0.432256166711178 \\\\\n", "41 0.582914572864322 1.6171954964176e-06 0.796216950569547 \\\\\n", "42 0.304522613065327 0.0 0.201588462744278 \\\\\n", "43 0.334572864321608 0.0737005910951894 0.396828299717839 \\\\\n", "44 0.179899497487437 0.0 0.594523983697356 \\\\\n", "45 0.220100502512563 0.436028659160696 0.157696729020796 \\\\\n", "46 0.528643216080402 1.7093142272262e-06 0.185912843557321 \\\\\n", "47 0.215276381909548 2.11873080859775e-06 0.346849200543421 \\\\\n", "48 0.125628140703518 0.0 0.346849200543421 \\\\\n", "49 0.281407035175879 0.0 0.532866548228655 \\\\\n", "50 0.160301507537689 5.88536335721597e-06 0.46389382380604 \\\\\n", "51 0.049748743718593 0.0 0.667676873236493 \\\\\n", "52 0.0333221663874931 7.56795177982486e-05 0.601955388348951 \\\\\n", "53 0.744723618090452 0.000163249744114637 0.432542585432125 \\\\\n", "54 0.280402010050251 0.0 0.607064479046922 \\\\\n", "55 0.217587939698492 0.0 0.774271083707807 \\\\\n", "56 0.152763819095477 0.0221084953940635 0.26533598077124 \\\\\n", "57 0.651591289782245 0.0229375980893893 0.293900442400808 \\\\\n", "58 0.347403685092127 0.327533265097236 0.664193402306058 \\\\\n", "59 0.146733668341709 0.0 0.913261573832166 \\\\\n", "60 0.287437185929648 0.000356192425793245 0.588253736022573 \\\\\n", "61 0.78537130094919 1.47617422950074e-06 0.520674399972132 \\\\\n", "62 0.250251256281407 0.0 0.853694220921726 \\\\\n", "63 0.092562814070352 0.0 0.729334308705194 \\\\\n", "64 0.02894472361809 0.0 0.525551259274741 \\\\\n", "65 0.064221105527638 0.000466734902763562 0.932072316856516 \\\\\n", "66 0.075778894472362 3.03480040941658e-06 0.430452502873863 \\\\\n", "67 0.260301507537688 0.0 0.82025289998955 \\\\\n", "68 0.405025125628141 0.0 0.395966140662556 \\\\\n", "69 0.048241206030151 9.58034800409417e-06 0.255930609259066 \\\\\n", "70 0.143718592964824 0.0 0.82129794126868 \\\\\n", "71 0.140837520938023 0.0 0.484446302295607 \\\\\n", "72 0.590519262981574 0.217748208802457 0.478872748806911 \\\\\n", "73 0.411055276381909 0.0 0.788901661615633 \\\\\n", "74 0.770016750418761 0.238420677243262 0.351551886299509 \\\\\n", "75 0.523618090452261 6.16171954964176e-06 0.770090918591284 \\\\\n", "76 0.535678391959799 0.0410440122824974 0.82129794126868 \\\\\n", "77 0.242367392518146 0.00912620948481747 0.714587615099685 \\\\\n", "78 0.354773869346734 0.0 0.461803741247779 \\\\\n", "79 0.682412060301508 0.0386898669396111 0.825478106385202 \\\\\n", "80 0.056884422110553 0.0 0.92057686278608 \\\\\n", "81 0.035396984924623 2.38894575230297e-06 0.716375796843975 \\\\\n", "82 0.0974204355108877 1.79119754350051e-06 0.61577315637301 \\\\\n", "83 0.252261306532663 0.0 0.52346117671648 \\\\\n", "84 0.701507537688442 1.82599795291709e-05 0.60664646253527 \\\\\n", "85 0.14572864321608 4.28863868986694e-06 0.668721914515623 \\\\\n", "86 0.783847810480976 0.0098786628162012 0.462873664462127 \\\\\n", "87 0.552763819095477 0.0 0.231894659839064 \\\\\n", "88 0.315497487437186 0.00243379733879222 0.91576967290208 \\\\\n", "89 0.761809045226131 0.000554759467758444 0.127390531926011 \\\\\n", "90 0.997654941373534 0.931422722620266 0.042777023025743 \\\\\n", "91 0.022010050251256 0.0 0.912216532553036 \\\\\n", "92 0.194974874371859 1.69907881269191e-06 0.729334308705194 \\\\\n", "93 0.055979899497487 0.0 0.684397533702581 \\\\\n", "94 0.076884422110553 0.0 0.620650015675619 \\\\\n", "95 0.099798994974874 0.0 0.521371094158219 \\\\\n", "96 0.221105527638191 0.0 0.896018392726513 \\\\\n", "97 0.558793969849246 0.0 0.735604556379977 \\\\\n", "98 0.186438442211055 0.00937530962128966 0.657683666004807 \\\\\n", "99 0.105527638190955 2.80450358239509e-06 0.296687219145156 \\\\\n", "100 0.789949748743719 2.58955987717503e-06 0.842198766851291 \\\\\n", " liveness \n", "1 0.145271317829457 \n", "2 0.157105943152454 \n", "3 0.048372093023256 \n", "4 0.083100775193798 \n", "5 0.10077519379845 \n", "6 0.184947145877378 \n", "7 0.089405684754522 \n", "8 0.14687338501292 \n", "9 0.572093023255814 \n", "10 0.561757105943152 \n", "11 0.67235142118863 \n", "12 0.160723514211886 \n", "13 0.1328165374677 \n", "14 0.236175710594315 \n", "15 0.246511627906977 \n", "16 0.257881136950904 \n", "17 0.093540051679587 \n", "18 0.037416020671835 \n", "19 0.144289405684755 \n", "20 0.2671834625323 \n", "21 0.01922480620155 \n", "22 0.12764857881137 \n", "23 0.290152167671548 \n", "24 0.341602067183463 \n", "25 0.262015503875969 \n", "26 0.168124031007752 \n", "27 0.11421188630491 \n", "28 0.143152454780362 \n", "29 0.297157622739018 \n", "30 0.106976744186047 \n", "31 0.0642549526270457 \n", "32 0.078449612403101 \n", "33 0.151138673557278 \n", "34 0.209302325581395 \n", "35 0.099741602067183 \n", "36 0.139018087855297 \n", "37 0.068888888888889 \n", "38 0.152454780361757 \n", "39 0.297157622739018 \n", "40 0.186865728777873 \n", "41 0.304392764857881 \n", "42 0.085478036175711 \n", "43 0.243152454780362 \n", "44 0.198966408268734 \n", "45 0.381912144702842 \n", "46 0.155555555555556 \n", "47 0.0931782945736435 \n", "48 0.259948320413437 \n", "49 0.037519379844961 \n", "50 0.20671834625323 \n", "51 0.335400516795866 \n", "52 0.180361757105943 \n", "53 0.101602067183462 \n", "54 0.07266149870801 \n", "55 0.068423772609819 \n", "56 0.084134366925065 \n", "57 0.184840654608096 \n", "58 0.132575366063738 \n", "59 0.395348837209302 \n", "60 0.336434108527132 \n", "61 0.208693654895205 \n", "62 0.185529715762274 \n", "63 0.06749354005168 \n", "64 0.293023255813953 \n", "65 0.034108527131783 \n", "66 0.117829457364341 \n", "67 0.287855297157623 \n", "68 0.10594315245478 \n", "69 0.706459948320413 \n", "70 0.171059431524548 \n", "71 0.291645133505599 \n", "72 0.132540913006029 \n", "73 0.435658914728682 \n", "74 0.0921274763135228 \n", "75 0.254780361757106 \n", "76 0.079896640826873 \n", "77 0.098409417169107 \n", "78 0.301291989664083 \n", "79 0.091472868217054 \n", "80 0.061808785529716 \n", "81 0.179555555555556 \n", "82 0.195176571920758 \n", "83 0.126614987080103 \n", "84 0.145012919896641 \n", "85 0.236175710594315 \n", "86 0.202726713424388 \n", "87 0.086821705426357 \n", "88 0.214346253229974 \n", "89 0.10594315245478 \n", "90 0.0833074935400513 \n", "91 0.011886304909561 \n", "92 0.164857881136951 \n", "93 0.097674418604651 \n", "94 0.049819121447028 \n", "95 0.104909560723514 \n", "96 0.145839793281654 \n", "97 0.096640826873385 \n", "98 0.218695090439276 \n", "99 0.102842377260982 \n", "100 0.09250645994832 \n", "Rows: 1-100 | Columns: 9" ] }, "execution_count": 55, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# group by artist\n", "artists_features = polish_tracks.groupby(['id_artists',\n", " 'artists'], expr=['AVG(danceability) AS danceability',\n", " 'AVG(energy) AS energy', \n", " 'AVG(speechiness) AS speechiness', \n", " 'AVG(acousticness) AS acousticness', \n", " 'AVG(instrumentalness) AS instrumentalness',\n", " 'AVG(valence) AS valence', \n", " 'AVG(liveness) AS liveness'])\n", "\n", "# save relation to the database as \"artists_features\"\n", "artists_features.to_db('\"spotify\".\"artists_features\"')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Grouping means clustering, so we use an elbow curve to find a suitable number of clusters." ] }, { "cell_type": "code", "execution_count": 56, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "d7e09e411ebc4445898d05325128739b" } }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n" ] }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from verticapy.learn.model_selection import elbow\n", "\n", "# define numerical features\n", "preds = [\"danceability\",\n", " \"energy\",\n", " \"speechiness\",\n", " \"acousticness\",\n", " \"instrumentalness\",\n", " \"liveness\",\n", " \"valence\"]\n", "\n", "# elbow curve\n", "elbow = elbow('\"spotify\".\"artists_features\"',\n", " preds,\n", " n_cluster = (1, 30))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's define and use the Vertica k-means algorithm to create a model that can group artists together." ] }, { "cell_type": "code", "execution_count": 57, "metadata": {}, "outputs": [], "source": [ "from verticapy.learn.cluster import KMeans\n", "\n", "# define k-means\n", "model = KMeans('\"spotify\".\"KMeans_spotify\"', \n", " n_cluster = 7)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can train our new model on the \"artists_features\" relation we saved earlier." ] }, { "cell_type": "code", "execution_count": 58, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "\n", "\n", "=======\n", "centers\n", "=======\n", "danceability| energy |speechiness|acousticness|instrumentalness|liveness|valence \n", "------------+--------+-----------+------------+----------------+--------+--------\n", " 0.69555 | 0.78801| 0.10285 | 0.12729 | 0.01264 | 0.16900| 0.77472\n", " 0.76995 | 0.64462| 0.27348 | 0.20702 | 0.00206 | 0.14808| 0.51245\n", " 0.47486 | 0.36216| 0.03955 | 0.73322 | 0.01880 | 0.15942| 0.35397\n", " 0.54658 | 0.69307| 0.06738 | 0.13429 | 0.09020 | 0.15264| 0.35517\n", " 0.60919 | 0.75848| 0.17245 | 0.17270 | 0.06267 | 0.71443| 0.54388\n", " 0.64666 | 0.63465| 0.15365 | 0.51753 | 0.01172 | 0.18339| 0.61588\n", " 0.35545 | 0.24647| 0.02482 | 0.85935 | 0.78889 | 0.15544| 0.26981\n", "\n", "\n", "=======\n", "metrics\n", "=======\n", "Evaluation metrics:\n", " Total Sum of Squares: 236.02931\n", " Within-Cluster Sum of Squares: \n", " Cluster 0: 19.761467\n", " Cluster 1: 12.785339\n", " Cluster 2: 12.796322\n", " Cluster 3: 23.034665\n", " Cluster 4: 5.8827394\n", " Cluster 5: 19.168113\n", " Cluster 6: 3.8413151\n", " Total Within-Cluster Sum of Squares: 97.26996\n", " Between-Cluster Sum of Squares: 138.75935\n", " Between-Cluster SS / Total SS: 58.79%\n", " Number of iterations performed: 35\n", " Converged: True\n", " Call:\n", "kmeans('\"spotify\".\"KMeans_spotify\"', '\"spotify\".\"artists_features\"', '\"danceability\", \"energy\", \"speechiness\", \"acousticness\", \"instrumentalness\", \"liveness\", \"valence\"', 7\n", "USING PARAMETERS max_iterations=300, epsilon=0.0001, init_method='kmeanspp', distance_method='euclidean')" ] }, "execution_count": 58, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# train the model\n", "model.fit('\"spotify\".\"artists_features\"', \n", " X = preds)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Plot the result of the k-means algoritm:" ] }, { "cell_type": "code", "execution_count": 59, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 59, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "model.plot()" ] }, { "cell_type": "code", "execution_count": 60, "metadata": {}, "outputs": [], "source": [ "# predict the genres\n", "pred_genres = model.predict('\"spotify\".\"artists_features\"', \n", " X = [\"danceability\",\n", " \"energy\",\n", " \"speechiness\",\n", " \"acousticness\",\n", " \"instrumentalness\",\n", " \"liveness\",\n", " \"valence\"], \n", " name=\"pred_genres\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's see how our model groups these artists together:" ] }, { "cell_type": "code", "execution_count": 63, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
Abc
Varchar(100)
123
pred_genres
Integer
16
26
36
46
56
66
76
86
96
106
116
126
136
146
156
166
176
186
196
206
216
226
236
246
255
265
275
285
295
305
315
325
335
345
355
365
375
385
395
405
415
425
435
445
455
465
475
485
495
505
515
525
535
545
555
565
575
585
595
605
615
625
635
645
655
665
675
685
695
705
715
725
735
745
755
765
775
785
795
805
815
825
835
845
855
865
875
885
895
905
915
925
935
945
955
965
975
985
995
1005
Rows: 1-100 | Columns: 2
" ], "text/plain": [ " artists pred_genres \n", "1 ['Wojciech Kilar'] 6 \n", "2 ['Jan Maklakiewicz', 'Kazimierz Sikor... 6 \n", "3 ['Jan Maklakiewicz', 'Kazimierz Sikor... 6 \n", "4 ['Wojciech Karolak'] 6 \n", "5 ['Frédéric Chopin', 'Janusz Olejniczak'] 6 \n", "6 ['Zbigniew Preisner'] 6 \n", "7 ['Jascha Heifetz', 'Leopold Godowsky'... 6 \n", "8 ['Jascha Heifetz', 'Leopold Godowsky'... 6 \n", "9 ['Laboratorium'] 6 \n", "10 ['Mieczysław Kosz'] 6 \n", "11 ['Piotr Pałka', 'Dominikański Ośrodek... 6 \n", "12 ['Wolfgang Amadeus Mozart', 'George S... 6 \n", "13 ['Wojtek Mazolewski Quintet'] 6 \n", "14 ['Andrzej Kurylewicz'] 6 \n", "15 ['Krzysztof Komeda', 'Leszek Możdżer'] 6 \n", "16 ['Zbigniew Namysłowski Quintet'] 6 \n", "17 ['Wojciech Kilar', 'Tadeusz Strugala'... 6 \n", "18 ['Włodzimierz Nahorny'] 6 \n", "19 ['Frédéric Chopin', 'Janusz Olejnicza... 6 \n", "20 ['Marcin Wasilewski', 'Slawomir Kurki... 6 \n", "21 ['Wolfgang Amadeus Mozart', 'Mieczysł... 6 \n", "22 ['Ludwig van Beethoven', 'Mieczysław ... 6 \n", "23 ['Pati Yang'] 6 \n", "24 ['BOKKA'] 6 \n", "25 ['Halina Frackowiak'] 5 \n", "26 ['Domowe Melodie'] 5 \n", "27 ['Beata Kozidrak'] 5 \n", "28 ['Grammatik', 'Fisz'] 5 \n", "29 ['Bedoes', 'Kubi Producent', 'GOLEC U... 5 \n", "30 ['The Returners', 'Eldo'] 5 \n", "31 ['Junior Stress'] 5 \n", "32 ['PRO8L3M', 'Sokół', 'Duit'] 5 \n", "33 ['Jan-Rapowanie', 'Nocny'] 5 \n", "34 ['Sobota', 'Kabe'] 5 \n", "35 ['Kamila Magálová', 'Vivat'] 5 \n", "36 ['Sitara', 'Nazir'] 5 \n", "37 ['Katarzyna Sobczyk', 'Czerwono Czarni'] 5 \n", "38 ['Anna Jantar'] 5 \n", "39 ['Popkiller Młode Wilki', 'Zeamsone',... 5 \n", "40 ['Verba'] 5 \n", "41 ['Wiatr', 'Sobel', 'be vis'] 5 \n", "42 ['Justyna Steczkowska'] 5 \n", "43 ['Aya RL'] 5 \n", "44 ['Krzysztof Klenczon'] 5 \n", "45 ['Szymi Szyms', 'OsaKa'] 5 \n", "46 ['Donatan', 'Cleo'] 5 \n", "47 ['Lilly Hates Roses'] 5 \n", "48 ['Bass Astral x Igo'] 5 \n", "49 ['Bitamina', 'Dawid Podsiadło'] 5 \n", "50 ['Kayah'] 5 \n", "51 ['Białas', 'Solar', 'Beteo'] 5 \n", "52 ['Favst', 'Gibbs', 'Kukon'] 5 \n", "53 ['Taco Hemingway', 'Borucci', 'Lanek'] 5 \n", "54 ['Maria Peszek'] 5 \n", "55 ['Miyo', 'Bedoes'] 5 \n", "56 ['Sistars'] 5 \n", "57 ['Czerwony Tulipan'] 5 \n", "58 ['Polska Wersja', 'Bezczel', 'ZBUKU'] 5 \n", "59 ['Pudelsi'] 5 \n", "60 ['White 2115', 'Chivas', 'Mr. Polska'] 5 \n", "61 ['Sobel', 'Czarny HIFI', 'Michał Szcz... 5 \n", "62 ['Kubi Producent', 'Malik Montana', '... 5 \n", "63 ['Jan-Rapowanie', 'Nocny', 'Holak'] 5 \n", "64 ['Human'] 5 \n", "65 ['Maryla Rodowicz', 'Alibabki'] 5 \n", "66 ['VNM', 'W.E.N.A.'] 5 \n", "67 ['Edyta Geppert'] 5 \n", "68 ['B.R.O', 'Merghani'] 5 \n", "69 ['Lukasyno', 'Peja', 'Kali'] 5 \n", "70 ['Fisz Emade Jako Tworzywo Sztuczne'] 5 \n", "71 ['Avi', 'Louis Villain', 'Bonson'] 5 \n", "72 ['SB Maffija', 'Deemz', 'Bedoes', 'Pl... 5 \n", "73 ['Irena Jarocka'] 5 \n", "74 ['Arab'] 5 \n", "75 ['Młody M', 'Onar', 'Temek'] 5 \n", "76 ['Chada', 'Ten Typ Mes'] 5 \n", "77 ['KRÓL'] 5 \n", "78 ['Anna Zebrowska', 'Skaldowie'] 5 \n", "79 ['Arab', 'IwueN', 'Dziabson'] 5 \n", "80 ['Beata Bednarz', 'Stanisława Celińsk... 5 \n", "81 ['Solar', 'Jan-Rapowanie', 'Kacperczy... 5 \n", "82 ['Solar', 'Quebonafide'] 5 \n", "83 ['ZIP Skład'] 5 \n", "84 ['Borixon', 'Paluch'] 5 \n", "85 ['Bitamina'] 5 \n", "86 ['Taco Hemingway', 'Gruby Mielzky', '... 5 \n", "87 ['Solar'] 5 \n", "88 ['Maryla Rodowicz'] 5 \n", "89 ['Zeus'] 5 \n", "90 ['Przemyslaw Gintrowski'] 5 \n", "91 ['Ziyo'] 5 \n", "92 ['SB Maffija', 'Beteo', 'Białas', 'Ma... 5 \n", "93 ['Ania Wyszkoni'] 5 \n", "94 ['Kabe', 'Opiat'] 5 \n", "95 ['Pablopavo i Ludziki'] 5 \n", "96 ['Dzamble'] 5 \n", "97 ['Natalia Kukulska'] 5 \n", "98 ['Alibabki', 'Tajfuny'] 5 \n", "99 ['Firma', 'Ana Blandiana'] 5 \n", "100 ['WWO', 'Fu', 'Soundkail'] 5 \n", "Rows: 1-100 | Columns: 2" ] }, "execution_count": 63, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# observe the results\n", "pred_genres['artists',\n", " 'pred_genres'].sort({'pred_genres':'desc'})" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Conclusion" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We were able to predict the popularity Polish songs with a RandomForestRegressor model suggested by AutoML. We then created a k-means model to group artists into \"genres\" (clusters) based on the feature-commonalities in their tracks." ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.8" } }, "nbformat": 4, "nbformat_minor": 5 }