Project 2 - EDA on Vehicle Insurance Customer Data

0 1 2 3 4 5 6 7 0 1.0 Male 44.0 1.0 28.0 0.0 > 2 Years Yes 1 2.0 Male 76.0 1.0 3.0 0.0 1-2 Year No 2 3.0 Male 47.0 1.0 28.0 0.0 > 2 Years Yes 3 4.0 Male 21.0 1.0 11.0 1.0 < 1 Year No 4 5.0 Female 29.0 1.0 41.0 1.0 < 1 Year No 0 1 2 3 4 0 1.0 40454.0 26.0 217.0 1.0 1 2.0 33536.0 26.0 183.0 0.0 2 3.0 38294.0 26.0 27.0 1.0 3 4.0 28619.0 152.0 203.0 0.0 4 5.0 27496.0 152.0 39.0 0.0

number of cells of customer_id with null values = 386 number of cells of gender with null values = 368 number of cells of age with null values = 368 number of cells of driving_licence_presence with null values = 393 number of cells of region_code with null values = 392 number of cells of previously_insured with null values = 381 number of cells of vehicle_age with null values = 381 number of cells of vehicle_damage with null values = 407 <class 'pandas.core.frame.DataFrame'> RangeIndex: 381109 entries, 0 to 381108 Data columns (total 8 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 0 380723 non-null float64 1 1 380741 non-null object 2 2 380741 non-null float64 3 3 380716 non-null float64 4 4 380717 non-null float64 5 5 380728 non-null float64 6 6 380728 non-null object 7 7 380702 non-null object dtypes: float64(5), object(3) memory usage: 23.3+ MB

number of cells of customer_id with null values=0