Correlation Matrix

In [83]:
%matplotlib inline
from verticapy.datasets import load_titanic

titanic = load_titanic()
titanic.corr()
Out[83]:
"pclass"
"survived"
"age"
"sibsp"
"parch"
"fare"
"body"
"split"
"pclass"1.0-0.335856950271864-0.4008286423510150.06017382260670520.00905041175518278-0.561687581153705-0.04723553331314330.00449880963477457
"survived"-0.3358569502718641.0-0.0422446185581737-0.01750948418873470.08667596234634330.264150360783869[null]-0.00751919482344859
"age"-0.400828642351015-0.04224461855817371.0-0.250894560623873-0.13720724024350.1785751641174640.05817656491778710.061255927576085
"sibsp"0.0601738226067052-0.0175094841887347-0.2508945606238731.00.3709401060202850.152727345121592-0.116358134692659-0.0197564403305107
"parch"0.009050411755182780.0866759623463433-0.13720724024350.3709401060202851.00.2218024035824470.0727168903614719-0.000319171431516062
"fare"-0.5616875811537050.2641503607838690.1785751641174640.1527273451215920.2218024035824471.0-0.0372842548942878-0.0114197195252108
"body"-0.0472355333131433[null]0.0581765649177871-0.1163581346926590.0727168903614719-0.03728425489428781.0-0.0184382250988842
"split"0.00449880963477457-0.007519194823448590.061255927576085-0.0197564403305107-0.000319171431516062-0.0114197195252108-0.01843822509888421.0
Rows: 1-8 | Columns: 9