image_output_1.png
import matplotlib.pyplot as plt

import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

import seaborn as sns

train_df = pd.read_csv('/kaggle/input/house-prices-advanced-regression-techniques/train.csv')

train_df.columns

train_df.isnull().sum()

import matplotlib.pyplot as plt
plt.style.use('ggplot')

import seaborn as sns

sns.histplot(data=train_df, x='GrLivArea', y='SalePrice', kde=True)