Car Sales Performance Analysis with Python Librairies Pandas, Matplotlib and Seaborn (on Open Data)

Goal

 
  • Analyzing in Detail Car Sales (from open data), from Data Processing and Cleaning to Data Visualization, with Python libraries Pandas, Matplotlib and Seaborn.

Result

  • Several Visualization Charts (Histogrammes, Pie charts, Boxplots ect) analyzing in detail Car Sales Performance:

           * Sales Performance in The Last 20 Years

           * Average Price of Sold Vehicles by body Type and Fuel Type

           * Pie Charts on several Car Sales Statistics

           * Top 20 Car Brand in Sales

           * Total Volkswagen Car Sales by Type of Engine

           * Average Price of Top Highest price sold Vehicles by Mileage & Car Maker

           * Top 20 Mercedes-Benz Model Sold

           Ect.

Examples of the work done
Sales Performance in The Last 20 Years
Average Price of Sold Vehicles by body Type and Fuel Type
Pie Charts on several Car Sales Statistics
Top 20 Car Brand in Sales
Total Volkswagen Car Sales by Type of Engine
Average Price of Top Highest price sold Vehicles by Mileage & Car Maker
Top 20 Mercedes-Benz Model Sold

Details

Data Bring & Data Discovery
  • Car Sales Data file downloaded from Github.
Data Cleaning & Data Analysis
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