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https://github.com/freedisch/plotting-task


https://github.com/freedisch/plotting-task

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# Plotting-task
In this assignment, you will be performing analysis more specifically on transport (vehicles and fuel efficiency).

The dataset has been provided for you.

You are tasked to make sense of this data that will later be used for AI purposes.

For this assignment, you will use the matplotlib library and seaborn to create diagrams that visualize the relationship between various features (columns) and interpret the diagrams. The steps include:

- [x] Accessing the starter notebook hereLinks to an external site. and data hereLinks to an external site.. Download and upload to your own drive.
- [x] Import the necessary libraries
- [x] import the data
- [x] Create the plots

Correctly interpret the diagrams
Submit the PNG files and source code file (notebook).
[https://colab.research.google.com/drive/1UPkf6psCzFEQEwxrUjeKiivPMKud4eBI#scrollTo=k4lIkgCesElF
](https://gist.github.com/Freedisch/3e7760e8a43df97ef767def94f8a1bab)

PICs
![fuel_efficiency_vs_vehicle_type](https://github.com/Freedisch/Plotting-task/assets/82499435/e7cc7b0b-c7ee-4507-9dc4-184db7051e97)