Predicting Olympics medalists

A #TidyTuesday Tidymodels adventure

Posted on July 30, 2021

After a few weeks of hiatus from #TidyTuesday, I am back with 27-July’21 dataset which is about Olympics. In this exercise, I will try to develop a model to predict medalists using a bagged tree model. This post is intended to workflow through a bare-bones model. So, we are not... [Read More]

Tags: Tidyverse R Tidymodels TidyTuesday tutorial

#TidyTuesday Water sources in Nigeria over the years

100+ years of water sourcing history

Posted on May 7, 2021

This week’s #TidyTuesday dataset is about Water Access Points sourced from Water point data exchange. TidyTuesday is a weekly data project aimed at the R ecosystem. The data was curtailed to select nations for this week. I only focused on Nigeria. The Outcome After 1980s, boreholes increased drastically in Nigeria... [Read More]

Tags: Tidyverse R Nigeria Water TidyTuesday tutorial gganimate

#TidyTuesday CEO exits of S&P1500

A look over two decades of data

Posted on April 27, 2021

This week’s #TidyTuesday dataset is about CEO departures in S&P 1500 firms.TidyTuesday is a weekly data project aimed at the R ecosystem. I have taken 2000-2019 data and tried to plot the two decades of reason on why CEOs leave. The Outcome CEO departures have increased significantly in recent years.... [Read More]

Tags: Tidyverse R CEO exits TidyTuesday tutorial Patchwork

#TidyTuesday Netflix going global

Netflix going beyond borders to have truly global contents

Posted on April 25, 2021

This is my first attempt at a TidyTuesday dataset. TidyTuesday is a weekly data project aimed at the R ecosystem. This week we got the Netflix dataset. Here, I am trying to observe how Netflix shows have expanded beyond border to have movies/TV shows from across the globe. The Outcome... [Read More]

Tags: Tidyverse R Animate Netflix TidyTuesday Maps tutorial