text_plain_output_1.png
import matplotlib.pyplot as plt

import pandas as pd

import seaborn as sns

train = pd.read_csv('/kaggle/input/e-commerce-shoppers-behaviour-understanding/train_data_v2.csv')
test = pd.read_csv('/kaggle/input/e-commerce-shoppers-behaviour-understanding/test_data_v2.csv')

train.shape

train.columns

train.isna().sum()

var = train.corr()

plt.figure(figsize=(20, 10))
sns.heatmap(var, annot=True)