Gotten lots of request for this #rstats blogpost:
"Creating and using custom #ggplot2 themes"
- Theme components/elements
- Building your own theme
- Inspiration from @FiveThirtyEight
- 6 Different examples of using the theme
- Full code to reproduce
themockup.blog/posts/2020-12-…
"Creating and using custom #ggplot2 themes"
- Theme components/elements
- Building your own theme
- Inspiration from @FiveThirtyEight
- 6 Different examples of using the theme
- Full code to reproduce
themockup.blog/posts/2020-12-…
There are two primary ways I've built #rstats ggplot themes:
- theme() - Add theme components individually, wrap as a function
- %+replace% - Apply an existing theme and overwriting components of it
- theme() - Add theme components individually, wrap as a function
- %+replace% - Apply an existing theme and overwriting components of it
Inspiration comes from a @FiveThirtyEight article from @tyschalter :
fivethirtyeight.com/features/the-i…
We will "steal like an artist" by getting at the raw data, recreating their example, and build upon some ideas in this article to create a novel plot.
fivethirtyeight.com/features/the-i…
We will "steal like an artist" by getting at the raw data, recreating their example, and build upon some ideas in this article to create a novel plot.
In total we cover 6 different applications of the new #ggplot2 / #rstats theme we've created using public data.
Full code and examples included to create plots like below!
Full code and examples included to create plots like below!
Don't care about R code?
Here's a game tape/scouting look at the plays behind the Colts ability to creatively generate pressure without blitzing.
stampedeblue.com/2020/12/11/221…
Here's a game tape/scouting look at the plays behind the Colts ability to creatively generate pressure without blitzing.
stampedeblue.com/2020/12/11/221…
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