https://github.com/the-ethan-hunt/data-electionisation

A small data visualization project to show the 2017 Assembly Election results in various Indian states
https://github.com/the-ethan-hunt/data-electionisation

data-science data-visualization matplotlib python

Last synced: 21 days ago
JSON representation

A small data visualization project to show the 2017 Assembly Election results in various Indian states

• Host: GitHub
• URL: https://github.com/the-ethan-hunt/data-electionisation
• Owner: the-ethan-hunt
• License: mit
• Created: 2017-03-09T10:11:04.000Z (almost 8 years ago)
• Default Branch: master
• Last Pushed: 2017-03-21T18:21:42.000Z (almost 8 years ago)
• Last Synced: 2024-10-19T00:21:00.628Z (3 months ago)
• Topics: data-science, data-visualization, matplotlib, python
• Language: Python
• Size: 139 KB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
  DATA ELECTIONISATION  


Data Electionisation is a data-science project that visualises data from the 2017 Indian State Assembly election results. They are a part of my course, Data-Visualization by the University of Illinois at Urbana-Champaign (A Coursera initiative).

    

 


  LIST OF CONTENTS  

 

  To-do  

  States witnessing assembly elections in 2017  

  How to contribute  

  License  





 
 

  To-do  

 Back to contents 





- [ ] Add 2012 election results of the respective states


- [ ] Display the results using pie-charts (For seat distribution and voting percentages)


- [ ] Display the bar charts showing decrease/increase in number of seats/voting percentages from past results.


 
 

  States witnessing assembly elections in 2017  

 Back to contents 





- [ ] Goa

- [ ] Gujarat

- [ ] Himachal Pradesh

- [ ] Manipur

- [ ] Punjab

- [ ] Uttar Pradesh

- [ ] Uttarakhand

 
 

  How to contribute  

 Back to contents 





The work flow is the same as that of any other repository. 


 (1) Fork / clone the repository.


 (2) Create a new branch , say `my-changes` and make your changes in this branch.


 (3) Commit your changes and send a Pull request (PR) to this repository.


 Active contributors would be rewarded with the tag of "Collabrators"


 Bug fixes , Issues , Issue solutions , Optimizations & Enhancements are always welcome.


 
 

  License  

 Back to contents 





The MIT License (MIT)


Copyright (c) 2016 Dhruv Apte

Permission is hereby granted, free of charge, to any person obtaining a copy

of this software and associated documentation files (the "Software"), to deal

in the Software without restriction, including without limitation the rights

to use, copy, modify, merge, publish, distribute, sublicense, and/or sell

copies of the Software, and to permit persons to whom the Software is

furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in

all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR

IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,

FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE

AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER

LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,

OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN

THE SOFTWARE.