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项目作者： chupstee

项目描述 ：
Data journalism on the Insta blog
高级语言： Jupyter Notebook
项目地址: git://github.com/chupstee/data.sugar.git
创建时间： 2020-08-15T16:06:03Z
项目社区：https://github.com/chupstee/data.sugar
开源协议：MIT License
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About data.sugar

This repository is a collection of Jupyter notebooks made out of interest in Data Science.
These research projects support @data.sugar Instagram blog and @data.sugar Telegram channel, which are scientific-popular blogs.

While the Instagram and Telegram blogs summarize the main findings and conclusions, the full researches are available here.

You can use the code posted here to verify the validity of the facts we discovered and published in the Insta blog and the Telegram channel.

Projects

  • Thirty Years Old
    WHEN IS MY BRAIN UP?🎓
    The human brain reaches its peak efficiency by the age of 30.
    That say the scientists, we ask the data!
    We wondered if most of the artworks in the Moma database were actually created by artists in their 30s.
  • The World Happiness Map
    IN SEARCH OF 🎈HAPPINESS: 🌍WHERE?
    Happiness is the most uncertain thing. People try to measure happiness like height or temperature.
    For example, The World Happiness Report from Kaggle ranks 156 countries by their level of happiness on a 10-point scale.
    Even in our search of happiness, we’ve also never been interested in anything but the data.
    We would like to discover the happiest places!
  • The Relationship between Happiness and Health Indicators
    IN SEARCH OF 🎈HAPPINESS: 🍔WHAT if HEALTH?
    We would like to know how health makes us happy.
    We try to establish the relationship between happiness and health indicators.
  • The Relationship between Happiness and Age of Population by Country
    IN SEARCH OF 🎈HAPPINESS: 🕗WHEN?
    Let’s find out when is happiness.
    We would like to identify the relationship between the level of happiness and the age of the population by country.
  • Profitablity Calc - Bought a Bike
    A simple calculator to help prevent spontaneous purchases.

Requirements

To reproduce our projects you need:

  • Python 3
  • Jupyter
  • Python packages:
    • numpy - a fundamental package for scientific computing with Python
    • pandas - an open source data analysis and manipulation tool, built on top of the Python programming language
    • re - module to provide regular expression matching operations
    • matplotlib - a library for creating static, animated, and interactive visualizations in Python
    • seaborn - high-level Python data visualization library based on matplotlib
    • (optional) geopandas - a powerfull tool for geographic stuff

License

MIT License