text_html_output_1.png
import pandas as pd

import ppscore as pps

import seaborn as sns

df = pd.read_csv('../input/melbourne-housing-market/Melbourne_housing_FULL.csv')

df.isnull().sum() / len(df) * 100

for col in df.columns:
    print(col, pps.score(df, col, 'Price')['ppscore'])