This project aims to collect the various data related to Indian Premier League regardless of any perticular season. Our basic focus is to bring unseen facts through visualizing the various data figures, so that we can avail a range of good ideas & scopes about the possible data science work.
Just going through a certain steps, you can easily begin with your work!
Have a glimpse below:
-
Grab the Data:
Explore the various datasets available in theDatasets
directory.
You can contribute by adding your own dataset to this branch, as well!! -
Code Parallelly Find the dataset that interests you and begin with the codes to analyse the data.
You can share your code regardless of the language you use to code. -
Add Visualizations
You can do exploratory data analysis on the datasets and creat nice graphs or other visualizations too that can bring good insights.
Visualization would make it more easy to understand the datasets. -
Work Independently
If you are confident enough in some other field say documentation/content-presentation or enhencement, you are most welcome.
You can also contribute with any other work, apart from those which are mentioned above. Just, make sure they are relavent to this project.
Follow the following the steps to contribute:
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Fork this repository
-
Clone your fork using following simple terminal command
git clone https://github.com/<your-github-username>/IPL-Analysis.git
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Open the cloned repository in any of the text editor
-
Before you begin with editing, create a new branch and chouckout the into it
git branch my-branch
git checkout my-branch
- Make your Contribution that might be any of the following
- Add Datasets
- Add Code
- Add Visualizations
- Add Hot Facts
- Create/Enhance your Documantation or do the Grammer Corrections
- Push your contribution to your cloned repository
git push origin my-branch
Don't forget to add your name into the Contributors.md
in following format:
* [Your Name](https://github.com/<your-github-username>/)
Please read Contributors.md for details on our code of conduct, and the process for submitting pull requests to us.
Find those who participated in this project in the contributors' list!
This project is licensed under the MIT License - see the LICENSE.md file for details