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https://github.com/freedisch/plotting-task
https://github.com/freedisch/plotting-task
Last synced: 19 days ago
JSON representation
- Host: GitHub
- URL: https://github.com/freedisch/plotting-task
- Owner: Freedisch
- Created: 2023-09-24T19:16:44.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2023-09-25T12:49:38.000Z (over 1 year ago)
- Last Synced: 2023-09-26T07:17:47.462Z (over 1 year ago)
- Language: Python
- Size: 608 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# 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 plotsCorrectly 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)