This was a 3-day project on which I analyzed a small portion of the Kaggle 2019 Survey data: the LatinX Machine Learning community. This is my first take on a Kaggle competition and my first experience trying to understand ordinal regression models from a Bayesian perspective using Stan.
Cleaning and visualisation code for the energy indicator post
Cleaning and Visualization code for energy sources post.
Google Vis Code
Cleaning and visualisation code
Visualisation and production code
This is the code used to create the visualisations
This posts was inspired by Thomas Piketty's data on income, population and wealth.
This posts shows what are the most popular sources of energy in different countries.
This post shows some economic data from the energy sector in countries in Latin America.
This posts shows the different data used to measure each team's performance during the World Cup.
This post intends to visualise beer data from around the world. Some of the topics are consumption around the world and alcohol percentage per type and brand of beer.
This posts compares some socioeconomic features and conditions with the final result in the FIFA World Cup 2014.
In this post we see how the investment in Research and Development has changed over time in each of the countries.