Critter Stats Projects 2

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Continuing our previous showcase of critter projects, here’s some more of the awesome work our Critical Role community has put together using the available data!

Statistical Visualiser Web App

Over the past month, @trentlikesstats has been developing an interactive web application called the Critical Role Statistical Visualiser, written in R Shiny to visualize and statistically analyze all manner of Critical Role data, including:

  • Character & aggregated spellcasting

  • Character dice rolls

  • Damage dealt and healing given

  • Potion usage

  • Mighty Nein finances by episode (income & expenditure)

The application uses both creative interactive data visualizations (such as tree maps, network diagrams, scatter plots, and bar graphs), and statistical models to provide a new and engaging perspective on how our favorite adventurers have been going. The application is updated each week after each episode.

Vox Machina data is also in the process of being added with current analysis including interactive visualizations for spellcasting, combat damage, and times KO'd.

If you can write in the R language and want to get involved in application development or maintenance, feel free to reach out to Trent or clone the GitHub repository and make a new branch for yourself.

Rolly Cow!

Alex Bratton recently pored through our All Rolls tables for both Campaign 1 and Campaign 2 to determine how often the players actually roll per game:

“@CriticalRole averages 118 rolls per game in C1 and 112 rolls in C2. That’s 1 roll every 100 seconds or 110 seconds, respectively. Most rolls (334) were in C1E114 “Vecna the Ascended” and least (8) were in C1E73 “The Coming Storm”.“

For the exactly how many rolls happened per episode, calculated averages for the series, and several charts to display the data, check out this table Alex built to hold the data.

Honorable Mention: Searchable Transcripts

Although it has been out in the wild for some time now and has more foundation on transcripts than stats, we’d be remiss not to make sure that everyone knows about this incredibly valuable tool. Stuart Langridge created a search engine that browses Critical Role’s available transcripts based on words and speakers, returning both the text and links to where the results appear in the respective video. We may have stopped tracking word counts a long time ago, but critters who are curious about such things can satiate this curiosity!

If you also have a stat-based project, we’d love to share what you all are working on in what is becoming a quarterly series. Thanks to everyone who submitted their projects, and thanks to all the amazing critters in our community who are using data to create amazing things!