text_html_output_1.png
import pandas as pd

data = pd.read_csv('../input/house-prices-advanced-regression-techniques/train.csv')
y = data['SalePrice']
data.drop(columns=['SalePrice'], inplace=True)

data.skew().sort_values(ascending=False)

data.kurt().sort_values(ascending=False)

missingVals = data.isnull().mean() * 100
missingVals.sort_values(ascending=False).head(20)