Data-Analytics_Project

Summary

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

Libraries used:

pandas

seaborn

matplotlib