application_vnd.jupyter.stderr_output_1.png
import matplotlib.pyplot as plt

import pandas as pd

train = pd.read_csv('C:\\Users\\sreeram\\Desktop\\pythonfiles\\House-Train.csv')

train.columns

#Correlations with the target variable
a = train.corr()
b = print(a['SalePrice'].sort_values(ascending = False )[:10],'\n')

var = 'GrLivArea'
plt = pd.concat([train['SalePrice'], train[var]], axis=1)
plt.plot.scatter(x=var, y='SalePrice', ylim=(0, 800000))