<jupyter_start><jupyter_text>Exo 1 :<jupyter_code>import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
dataHousePricing=pd.read_csv('house_pricing.csv')
dataHousePricing.info()
sns.scatterplot(x=dataHousePricing["LotArea"],y=dataHousePricing["SalePrice"],data=dataHousePricing)
filter = (dataHousePricing["LotArea"] < 20000) & (dataHousePricing["SalePrice"] < 500000)
newDHP = dataHousePricing.where(filter)
sns.scatterplot(x=dataHousePricing["LotArea"],y=dataHousePricing["SalePrice"],data=newDHP)
sns.scatterplot(x=dataHousePricing["LotFrontage"],y=dataHousePricing["LotArea"],data=dataHousePricing)
filter = (dataHousePricing["LotFrontage"] < 200) & (dataHousePricing["LotArea"] < 100000)
newDHP = dataHousePricing.where(filter)
sns.scatterplot(x=dataHousePricing["LotFrontage"],y=dataHousePricing["LotArea"],data=newDHP)<jupyter_output><empty_output>
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