abirbhattacharya82 / exploratory_data_analysis

This repository is open for Hacktoberfest contributors to analyze data and bring their opensource skills in action

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Hacktoberfest2022

image

Open Source Love

Exploratory Data Analysis

Datasets

This repository is open for Hacktoberfest contributors to analyze data and bring their opensource skills in action. Data Folder contains several interesting datasets . I have limited the datasets to excel and csv files to keep the thrill of data analysis intact.

Social Datasets include -

  • Indian Elections
  • Air_Quality
  • crime rates
  • unemployment analysis

Medical Datasets -

  • Liver Disease Dataset

Population -

  • World Population

Some links to other kaggle datasets I found unique-

* https://www.kaggle.com/datasets/pavellexyr/the-reddit-climate-change-dataset
* https://www.kaggle.com/datasets/therohk/india-headlines-news-dataset

How to use this repo

  • Respond to my issues or create your own issue with a problem statement I will assign you with the issue

  • Fork this repository

    git clone https://github.com/<your_github_user_name>/exploratory_data_analysis.git
    cd exploratory_data_analysis
    
    git remote add upstream https://github.com/souvikg544/exploratory_data_analysis.git
    
    git remote -v
    
    git pull upstream master
    
    # create a new branch so that you can upload the code
    
    git checkout -b <your_branch_name>
  • Make relavent changes exploratory_data_analysis Folder. You can do the analysis in a platform of your choice - kaggle , colab or your local machine .

     git add .
    
     git commit -m "commit message"
    
     git push -u origin <your_branch_name_entered_before>
  • To create a pull request, click on compare and pull requests. Please ensure you compare your feature branch to the desired branch of the repo you are supposed to make a PR to.

  • Add an appropriate title and description to your pull request explaining your changes and efforts.

  • Click on Create Pull Request

  • now you have successfully created a pull request

  • Make a pull request with a problem that you have solved

  • Wait for me to merge and accept the pull request .

About HacktobeFest

Hacktoberfest22

Go through the file CONTRIBUTING.md to know more Make some nice set of pull requests and enjoy with your reward kits. Btw hacktoberfest t shirts are quite good 😉.

About

This repository is open for Hacktoberfest contributors to analyze data and bring their opensource skills in action

License:MIT License


Languages

Language:Jupyter Notebook 99.9%Language:Python 0.1%