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This repository is a project to visualize and analyze data using Python programming language with different libraries.

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-Data-Visualization-with-Python

Data set reference: https://www.kaggle.com/aishwaryamuthukumar/cars-dataset-audi-bmw-ford-hyundai-skoda-vw

This dataset has different features of Huyndai cars. An exmpanation of the features are as follows,

  1. Model: Different model names provided my the manufacturer. This column has categorical type data
  2. Year: Manufacturing year or the year when it was introducted in the market. This column has integer type data.
  3. Price: Price of each car in dollers. This feature has integer type data.
  4. Transmission: Type of transmission indicating whether the car is running manually or automatically. This feature is showing categorical type data.
  5. Mileage: Total number of miles each car has travelled since manufacturing. It is showing integer type data.
  6. Fuel type: Type of fuel the car is running. It is showing categorical type data.
  7. MPG: Number of miles the car can travel in a gallon of fuel. It has float type data.
  8. Engine Size: Size of engine in a float variable.

From the dataset, relationship of the categorical columns and numerical columns have been visuilized and explained by using bar plots, histogram plots and ECDF plot.

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This repository is a project to visualize and analyze data using Python programming language with different libraries.

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