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Created 5 years ago
import jovian#importing libraries
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
#read data
df = pd.read_csv('Leads.csv')
df.head()df.shape #rows and columns of dataframe(9240, 37)#percentage of null values in each column
null_val = []
for x in df.columns:
null_val.append(round(df[x].isna().sum()/len(df[x]) *100,2))
null_df = pd.DataFrame([df.columns,null_val]).T
null_df.columns = ['Columns','Missing values']
null_df['Missing values'].head()
0 0
1 0
2 0
3 0.39
4 0
Name: Missing values, dtype: object