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Posts

Text mining Star Trek dialogue and classifying characters using machine learning

Graphs, text mining and analysis using the #TidyTuesday data set for week 34 of 2021 (17/8/2021): "Star Trek voice commands"

Adjusting variable distribution and exploring data using mass linear regression

Graphs and analysis using the #TidyTuesday data set for week 33 of 2021 (10/8/2021): "BEA Infrastructure Investment"

Predicting voluntary CEO departures using machine learning

Graphs and analysis using the #TidyTuesday data set for week 18 of 2021 (27/4/2021): "CEO Departures"

Films with MPA ratings on Netflix

Graphs and analysis using the #TidyTuesday data set for week 17 of 2021 (20/4/2021): "Netflix Titles"

Post offices in the USA from 1772 to 2000

Graphs and analysis using the #TidyTuesday data set for week 16 of 2021 (13/4/2021): "US post offices"

Plotting deforestation and its causes

Graphs and analysis using the #TidyTuesday data set for week 15 of 2021 (6/4/2021): "Global deforestation"

Plotting foundations according to shade

Graphs and analysis using the #TidyTuesday data set for week 14 of 2021 (30/3/2021): "Makeup Shades"

UN Votes: Plotting votes on United Nations resolutions

Graphs and analysis using the #TidyTuesday data set for week 13 of 2021 (23/3/2021): "UN Votes"

Video Games and Sliced

Graphs and analysis using the #TidyTuesday data set for week 12 of 2021 (16/3/2021): "Video Games and Sliced"

Bechdel Test

Graphs using the #TidyTuesday data set for week 11 of 2021 (9/3/2021): "Bechdel Test"

Welcome

Welcome to my TidyTuesday blog. This site features graphs and analysis of various data sets from the R for Data Science (R4DS) #TidyTuesday project.

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Text and figures are licensed under Creative Commons Attribution CC BY 4.0. Source code is available at https://github.com/rnnh/TidyTuesday/, unless otherwise noted. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".