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Performed EDA on a Housing Dataset after cleaning it using Pandas and Numpy for Data Manipulation followed by Matplotlib and Seaborn for Data Visualisation

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EDA-on-Automobile-Dataset

  • Performed EDA on a Automobile Dataset.
  • Used Pandas and Numpy for Data Manipulation followed by Matplotlib and Seaborn for Data Visualisation.
  • A starter project just to get acquainted with the libraries mentioned above.

Some of the visualisations and the corresponding insights:

90% of the people use cars that run of gas rather than diesel

Not a lot of people have 4 wheel drive cars

As the weight of the car increases the mileage decrease (negative correlation,colour coded by the manufacturer of the car)

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.

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Performed EDA on a Housing Dataset after cleaning it using Pandas and Numpy for Data Manipulation followed by Matplotlib and Seaborn for Data Visualisation

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