text_plain_output_1.png
import matplotlib.pyplot as plt

import pandas as pd

import seaborn as sns

train = pd.read_csv('/kaggle/input/playground-series-s3e14/train.csv')
test = pd.read_csv('/kaggle/input/playground-series-s3e14/test.csv')
sample = pd.read_csv('/kaggle/input/playground-series-s3e14/sample_submission.csv')

train.describe().T

train.isna().mean()

plt.figure(figsize=(16, 6))
heatmap = sns.heatmap(train.corr(), vmin=-1, vmax=1, annot=True)
heatmap.set_title('Correlation Heatmap', fontdict={'fontsize':12}, pad=12);

pd.plotting.scatter_matrix(train[['MaxOfUpperTRange', 'MinOfUpperTRange', 'AverageOfUpperTRange', 'MaxOfLowerTRange', 'MinOfLowerTRange', 'AverageOfLowerTRange']], figsize=(10, 10), diagonal='hist')
plt.show()