Discover and read the best of Twitter Threads about #blogdown
Most recents (3)
The beauty of R is its versatility and of course the community 💜 you can use R (and different #CRAN packages) for literally anything (I use #shiny to build web applications, #blogdown to set up and maintain my website, #xaringan to create slide decks, ….).
All these great tools build upon one “little” (or not so little) thing: functions!
💡 What are functions?
A function is an inherent code block that performs a specific task, such as calculating a sum. And that's exactly what we are doing now 😊
💡 What are functions?
A function is an inherent code block that performs a specific task, such as calculating a sum. And that's exactly what we are doing now 😊
(1/12) Announcing R CHARTS, the new #rstats and #rstatsES #dataviz site which includes, per language:
📈 Over 1100 #ggplot2 and base R charts
🧑🏫 Over 120 tutorials
📊 Over 50 different chart types
🎨 Several color & palette tools
r-charts.com
Made with #blogdown 🤩
📈 Over 1100 #ggplot2 and base R charts
🧑🏫 Over 120 tutorials
📊 Over 50 different chart types
🎨 Several color & palette tools
r-charts.com
Made with #blogdown 🤩
(2/12) The site contains 8 different categories (the Spatial section is under construction) based on the Financial Times Visual Vocabulary:
raw.githubusercontent.com/ft-interactive…
raw.githubusercontent.com/ft-interactive…
(3/12) Once you pick a category you will see all the available #rstats charts for that category.
You can filter them by their chart type and base R or #ggplot2.
r-charts.com/correlation/
You can filter them by their chart type and base R or #ggplot2.
r-charts.com/correlation/
Interested in the politics of digitalization? Then I might have 2 papers for you. The 1st helps understand when platform companies like Uber are regulated – and when they are not. The 2nd explains why the EU adopted the GDPR despite fierce resistance by business interests
Thread
Thread
The first paper looks at two attempts by New York’s Mayor Bill de Blasio to put a cap on the growth of Uber. The first bill failed spectacularly – the second one was successful, despite being proposed in the same city, by the same mayor and only 3 years apart. Why?
To explain the different fates of the two bills, I show how Uber used powerful narratives of exclusion and collusion to drive a wedge between de Blasio’s progressive coalition. I also show how Uber mobilized its users as cooperate grass-roots activists against the Mayor.
