text_html_output_1.png
import matplotlib.pyplot as plt

import pandas as pd

import seaborn as sns

Data_train = pd.read_csv('/kaggle/input/playground-series-s3e1/train.csv')
Data_test = pd.read_csv('/kaggle/input/playground-series-s3e1/test.csv')

Data_train.shape

Data_train.columns

Data_train.isnull().sum().sum()

Data_train.corr()

feature_name = list(Data_train.columns[1:-1])
plt.figure(figsize=(15, 15))
for i in range(len(feature_name)):
    plt.subplot(4, 4, i + 1)
    sns.scatterplot(x=Data_train[feature_name[i]], y=Data_train['MedHouseVal'])