🚀 Data is Awesome

Answer questions with opinionated DATA STORIES and VISUALS in self contained projects

❗️ Project Disclaimer

Creators and contributors of this project do not claim ownership of the original data. There is no warranty regarding the accuracy or completeness of the data. Users are responsible for complying with the terms of use associated with any data sources used in this project.

📏 Rules

• 🔓 Public datasources
• 🪜 No paywall, or provide a ladder to climb over ;)
• 🇬🇧 English is the working language
• 🔄 Scripts must include the full pipeline:
  • Data gathering
  • Processing
  • Visualization
• 📝 Provide READMEs on how to use, explaining thoughts and technical steps
• 😉 Emojis help the understanding

📝 Want to contribute?

Have you seen the state of this project? Sure...

For details, read CONTRIBUTING.md

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🚀 Getting started

🏗️ Requirements:

• Python3.8 or later
• Git

git clone [email protected]:zwoefler/Data-is-aweseome.git
cd data-is-awesome/

cd <PROJECT_OF_INTEREST>
cat README.md

🏗️ ToDos

• Add Docker containers per project to run data visuals

📊 Data

Dataprojects answer the following questions:

• WHERE is the data valid? (City, Country, Continent, Celestial Body)
• WHEN is the data valid? (Far gone time period, valid today + estimates in the future?
• WHO ordered/comissioned/gathered the data?
• HOW was the data gathered? (Survey (participants), counting hand vs. technical)
• WHAT is the public source? A link or links with an explanation should the data be aggreageted.

🚧 Problems

• Project is to big. Over 4GB!
  • contains raw data files - find a better way!

Project setup

• DATA_PROJECTS: Holds the Data Projects
• DOCS: Docs for the entire project, discussisons, reference, design descisison, etc.
• TEMPLATES: Templates
• WEBPAGE: Present the data-is-awesome data as articles on the web

👥 People

• Author: Martin Fabian Zwölfer (@zwoefler)