Explanatory Data Analysis using Python on Cars data.
This is a quick EDA excercise to find out :
- Which type of cars are sold maximum?
- What is the co-relation between price and mileage?
- How many cars are registered?
- Price distribution between registered and non-registered cars.
- What is the car price distribution based on Engine Value?
- Which Engine Type of cars users preferred maximum?
- Establish corelation between all features using heatmap.
- Distribution of Price
This is a good practice of Data Cleaning and also to understand the effect of ouliers in the data.