This week, Ellis Hughes and I discuss heatmaps and facet wrapping using a coding example provide by Danielle Barnas for the TidyTuesday Project.
After going through Danielle’s code we apply heatmap visualizations to NBA data from the 2019 season. We show how to use facets to visualize different grouping of your data that may be useful when presenting to decision makers or colleagues.
To watch the screen cast, CLICK HERE.
For our code, CLICK HERE.
This week on the TidyX screen cast, Ellis Hughes and I explain the lollipop plot code created by Priya Shukla, who used data on Rap album ratings supplied by the TidyTuesday Project.
After that, we take the concept of lollipop plots and apply it to data from the National Women’s Soccer league (accessed using the nwslR package) to look at home advantage and average fan attendance. We finish by creating an animated lollipop plot showing the successful shooting percentage for each team across the 2019 season.
To watch this week’s screen cast, CLICK HERE.
To access the code for this week’s episode, CLICK HERE.
This week, Ellis Hughes and I go through a cool animation plot produced by Owen Churches on winning the Tour de France teams over time from data provided by the TidyTuesday Project.
After that, we apply the concept of animated graphics to create a markdown report using data on from the 2019 National Women’s Soccer League. The data comes form the nwslR package, which is a package created by Arielle Dror and Sophia Tannir and offers a variety of game and player specific data from the NWSL.
To watch this week’s screen cast, CLICK HERE.
For the the code to create the animated NWSL report, CLICK HERE.
If you’d like to see the final markdown report, CLICK HERE >> TidyX-Episode-5—Animated-Graphics
In Episode 4, Ellis Hughes and I go over R code from Dr. Maggie Sorgin, who used data on beer production, provided by the TidyTuesday Project, to create a nice plot of multiple data visualizations using the patchwork package.
In this episode we touch on:
To watch the screen cast, CLICK HERE.
To get the code for producing the report, CLICK HERE.
To see the interactive report, CLICK HERE >> TidyX-Episode-4—patchwork—Interactive-Graphics
In Episode 3 of TidyX, Ellis Hughes and I go over the polar plot code that Raniere Silva did for the latest TidyTuesday Project data set on traumatic brain injury.
We then take the concept of polar plots and use them as a means of comparing NBA players from the 2019 season in a simple to construct Shiny web app.
CLICK HERE to watch the screen cast.
If you’d like to play around with the Shiny app that we built, CLICK HERE.
If you’d like the code for our Shiny app, CLICK HERE.