- In this project car data in the form of CSV file is inspected.
- The tabular data is read using pandas.
- The data is described to understand the data tendency and shape of the dataset distribution.
- The data has been transformed and cleansed.
- The relationship between the variables are plotted using matplotlib and seaborn for better visualisation and understanding.
- Histogram is plotted between the no of cars and the Brand.
- Correlation between the variables are described in the form of table and heatmap using seaborn.
Libraries used:
pandas
seaborn
matplotlib