Hacktoberfest2022

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 😉.