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verticapy.datasets.load_market

verticapy.datasets.load_market(schema: str | None = None, name: str = 'market') → vDataFrame

Ingests the market dataset into the Vertica database. This dataset is ideal for data exploration. If a table with the same name and schema already exists, this function creates a vDataFrame from the input relation.

Parameters

schema: str, optional

Schema of the new relation. If empty, the temporary schema is used.

name: str, optional

Name of the new relation.

Returns

vDataFrame

the market vDataFrame.

Examples

If you call this loader without any arguments, the dataset is loaded using the default schema (public).

from verticapy.datasets import load_market

load_market()
Abc
Form
Varchar(32)
Abc
Name
Varchar(32)
123
Price
Float(22)
1BoiledSpinach3.83371571139
2CannedArtichoke3.38561047493
3CannedAsparagus2.5802971683
4CannedBlack beans0.945681045
5CannedBlackeye peas0.910440813422
6CannedBlackeye peas0.9310398825
7CannedCollard greens0.8534190293
8CannedCorn0.8537281609
9CannedGreat northern beans0.8733322508
10CannedGreen beans0.824040727
11CannedMixed Vegetables1.1300407331
12CannedMustard greens0.976791582056
13CannedNavy beans0.970423315186
14CannedPinto beans0.866189704098
15Canned,Olives4.18683171458
16Canned, packed in syrup or waterCherries3.51874337733
17DriedBlackeye peas1.58990085218
18DriedBlackeye peas1.613022434
19DriedCranberries4.78674137766
20DriedFigs6.1253708776
21DriedGreat northern beans1.53402874163
22DriedNavy beans1.4787507743
23DriedPineapple5.49708634567
24DriedRed Kidney Beans1.67188888931
25FreshApples1.56751539145
26FreshArtichoke2.3637333814
27FreshBananas0.566983414531
28FreshBlueberries4.3911083709
29FreshBrussels sprouts2.76355337151
30FreshCantaloupe0.520793672
31FreshCorn2.69062315903
32FreshGrapes2.093827412
33FreshGrapes2.2358731965
34FreshGreen beans2.13997225241
35FreshGreen peppers1.4949708543
36FreshHoneydew melon0.79665620543
37FreshLettuce, Iceberg1.21303942953
38FreshMangoes1.37756344703
39FreshMustard greens2.6792685486
40FreshNectarines1.7611484828
41FreshOkra3.21355231
42FreshPeaches1.59118685325
43FreshPeaches1.6779315817
44FreshPears1.5175920102
45FreshPlums1.82741600781
46FreshPotatoes0.6037360906
47FreshRed peppers2.3206705319
48FreshStrawberries2.35880848311
49FreshSummer squash1.63947703201
50FreshSummer squash1.6400455025
51FreshTurnip greens2.47174882117
52FreshWatermelon0.3166387792
53Fresh red cabbageCabbage1.05644972791
54Fresh, consumed with peelCucumbers1.2555855801
55Fresh, peeledCucumbers1.29593136814
56FrozenBroccoli1.8227837671
57FrozenBrussels sprouts2.0397358015
58FrozenCauliflower1.6814349408
59FrozenCollard greens1.5921257034
60FrozenCorn1.5981945708
61FrozenGreen peas1.64557267532
62FrozenMustard greens1.5551743896
63FrozenOkra1.5662807702
64FrozenPineapple0.6203795725
65FrozenSpinach1.760213418
66FrozenStrawberries2.6115889333
67Frozen french friesPotatoes1.17673673184
68Frozen french friesPotatoes1.2177194503
69Full HeadsLettuce, Romaine1.484034868
70Grape and cherry,Tomatoes3.4831293942
71Juice, ready to drinkGrapefruit0.8494909232
72Juice, ready to drinkPomegranate3.0102739423
73Large round,Tomatoes2.0066199543
74Packed in juiceApricots1.4742760156
75Packed in juiceFruit cocktail1.4088850314
76Packed in juicePeaches1.96460660811
77Packed in juicePineapple1.2761153689
78Packed in syrup or waterPineapple1.12844843614
79RaisinsGrapes3.50091463439
80RawSpinach3.8265942203
81RawSpinach3.83371571139
82Raw wholeCarrots0.741539992379
83Ready to drinkApples0.727287713105
84Ready to drinkGrapefruit0.824989780378
85Ready to drinkOranges0.796288571647
86Ready to drinkOranges0.8467005261
87SlicedMushrooms3.81042465
88Beefsteak,Tomatoes3.15921213872
89CannedArtichoke3.3174627313
90CannedCarrots1.06049032785
91CannedGreat northern beans0.923915876218
92CannedKale1.0686461381
93CannedMixed Vegetables1.10743317098
94CannedMixed Vegetables1.1153572418
95CannedSpinach1.1345923224
96CannedSpinach1.1471519614
97Canned,Olives5.0861220216
98Cooked wholeCarrots0.7737514155
99DriedCranberries4.6894038279
100DriedLima beans1.73065564313
Rows: 1-100 | Columns: 3