Project 2 - EDA on Vehicle Insurance Customer Data

Step1: Reading Data

Step2: Checking and Cleaning the data

Step2.1: Null values

Step2.2: Outliers

Step2.3: White spaces

Step2.4: Case correction

Step3: Create a Master table for future use

Step4: Getting information

i. Gender wise average annual premium

ii. Age-wise average annual premium

iii. Is your data balanced between the genders

iv. Vehicle age-wise average annual premium.

Step5: Check whether there is any relation between Person Age and annual premium.