This project visualizes various features and configuration of vehicles, of different brands, which have impact on the price of vehicle.
- Analysis of various automobile features and correlation between them
- Visualizing automobile configuration to keep car's price as low as possible.
For doing EDA we have used two type of tools as below:
| MANIPULATION | VISUALIZATION |
| 1. PANDAS | 1. Matplotlib |
| 2. NUMPY | 2. Seaborn |
This automobile dataset consist of data From 1985 Ward's Automotive Yearbook.
Data Volume
205 records (rows), 24 variables (columns)
Attribute Information
- In our Analysis we have used below attributes from dataset
Visualizations and the Corresponding Insights:
- Aspiration and Fuel-type used
If we Plot graph for aspiration (air-intake) and fuel-type used in vehicles we observe that about ~81% vehicles having standard (std) aspiration and 90.24 % vehicles used gas as fuel-type as show in below plot:
- Price Impact w.r.t. Horsepower
Below plot shows that there is a positive correlation between Horsepower and Price of the vehicle, so as we go higher Horsepower increases Vehicle Price.
Also we observe from Box Plot that most of the vehicles falls in ~80 to 150 HP range
- Impact on price due to curb-weight, length, height and width
Below Regplot shows that there is a positive correlation between Price of vehicle and vehicle's curb-weight, length and width , so these three have impact on vehicle price, however there is very less impact of Height in Pricing of vehicle.
- Relation Between vehicle Make and Price
Prices of BMW, Mercedes-Benz and Porsche are very high but Porsche offers car models in a lot pf price ranges. From premium pricing to pricing comparable to top models of other car manufacturers while BMW, Mercedes-Benz have only premium segment cars.
For Detail Document Click Here
For Notebook Click Here