text_plain_output_1.png image_output_1.png
import matplotlib.pyplot as plt

import pandas as pd

import seaborn as sns

Data = pd.read_csv('/kaggle/input/boston-housing-dataset/HousingData.csv')

Data.shape

Data.columns

Data.isnull().sum().sum()

Data.corr()

feature_name = list(Data.columns[:-1])
plt.figure(figsize=(30, 30))
for i in range(len(feature_name)):
    plt.subplot(7, 2, i + 1)
    sns.barplot(x=Data[feature_name[i]], y=Data['MEDV'])