application_vnd.jupyter.stderr_output_1.png
import pandas as pd

import seaborn as sns

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')

sns.distplot(train['SalePrice'])