tidytuesday

Tidy Tuesday is a weekly community challenge run by Jon Harmon and team in the Data Science Learning Community. Each week the team post a dataset to their github page and data enthusiasts from around the world make something with it and share their creations using the #TidyTuesday hashtag.

I document my TidyTuesday process here, creating useful resources for the community about how my plot came about.

NZ agriculture production

The TidyTuesday data this week comes from NZ agriculture production statistics. I was interested to dig into the relative change in sheep vs dairy numbers, and learn about…

Lead levels in Flint water

The TidyTuesday data this week is from a paper by Loux & Gibson (2018) about using lead data from Flint Michigan as a example for introductory statistics. When I was…

Passport power

I learned about the Henley Passport Index via this CNN article about the decline of the US passport. I was curious about how the relative ranking of the US passport over…

Billboard Hot 100 Number Ones

The Tidy Tuesday data this week comes from a google sheet that Chris Dalla Riva compiled in the process of writing his book: Uncharted Territory: What Numbers Tell Us about…

scottish munros

Trying my hand at a map for Tidy Tuesday this week. This plot illustrates the location and elevation of Scottish Munros. The plotly package makes it super easy to take a…

extreme weather

Practicing my tree map skills with the extreme weather attribution studies data for Tidy Tuesday.

storytelling

Emily Riederer wrote a great blog post this week about storytelling in data science. Her take home was that that often we tell data stories in procedural order like this…

gross colours

The Tidy Tuesday data this week was curated by Nicola Rennie and comes from the xkcd Color Survey . In this study, hundreds of thousands of participants were asked to name…

gas prices

The TidyTuesday data this week are about gasoline and diesel prices in the US. I have plotted the price differential between regular gasoline and diesel.

measles

Super quick post today, mostly just a link to the Shiny dashboard I made with this week’s Tidy Tuesday data, which comes from provisional WHO data about measles and rubella…

apis

The Tidy Tuesday data this week is about APIs. Jon Harmon is writing a book about using API (aka application programming interface) to access data and pulled information…

historydata: judges

The Tidy Tuesday data today comes from the historydata R package. The today is about US judges. I am particularly interested in the US Supreme Court and how long justices…

gutenberg

The Tidy Tuesday data this week comes from the gutenbergr package, which pulls data about the ebooks and authors from Project Gutenberg.

dungeons and dragons monsters

This week for TidyTuesday I decided to look at dragons and practice writing a ggplot function that makes it easy to create the same plot for each level of a variable. In…

sydney beaches

My first TidyTuesday data curation!! This is an updated version of the dataset we used for #RYouWithMe, a series of online modules designed to get beginners into #rstats. I…

cool stuff from tidytuesdayR

Have you tried #TidyTuesday? It is a weekly data challenge where the team from the Data Science Learning Community curate and post a dataset to their github repository, then…

vesuvius

The TidyTuesday dataset this week is about seismic activity at Mt Vesuvius. Given we are talking about a volcano, I am expecting that there might be cyclical patterns in…

nsf grants terminated

The TidyTuesday challenge this week comes from a crowdsourced dataset put together by GrantWatch about the National Science Foundation grants that have been terminated this…