Pyladies_Team-9

Capstone project collaboration for the Bootcamp Data Analysis/ Pyladies Amsterdam 2020

Capstone Instructions

• 1. Find a dataset that has at least 2 CSV files (to merge/join/concat them later)

  • Health indicators: https://www.kaggle.com/nxpnsv/country-health-indicators
  • Worldometers Covid-19 data as of 31.05.20: https://www.worldometers.info/coronavirus/

• 2. Come up with 5 questions that you want to answer while exploring the dataset

  • What is the most Covid-19 affected continent in terms of infected cases and deaths?
  • Do countries where BCG vaccine was widely implemented have higher life expectancy and lower infant mortality?
  • Do countries where BCG vaccine was widely implemented have fewer infection rates per million?
  • Do countries with higher life expectancy suffer more from Covid-19 in terms of deaths recorded?
  • What country has the highest ratio of recovered cases?

• 3. Create one GitHub repository for your team Capstone project
  (Thank you Daniela for taking care of this!)

• 4. Perform EDA (Exploratoty Data Analysis) on your dataset with basic visualisations
  (Useful source: https://towardsdatascience.com/exploratory-data-analysis-in-python-c9a77dfa39ce)

• 5. Make a 5 min presentation about your team findings and be ready to present it online. Add presentation slides to your GitHub repo.