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You can step up your data visualization game with {ggiraph} & {patchwork}. Two premier tools for creating interactive, connected plots with click events and tool-tips. (And they're super easy to use too.) Code: #rstats #dataviz

Albert Rapp

11,572 subscribers

147,485 次观看 • 3 年前 •via X (Twitter)

#rstats #dataviz

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10 条评论

Albert Rapp 的头像

Albert Rapp3 年前

If you liked this post, you may enjoy my 3-minute newsletter too. Every week, my newsletter shares insights on - dataviz, - Shiny web apps - stats Reading time: 3 minutes or less You can join at

erdi 的头像

erdi3 年前

Very nice! First time seeing pipes used within 'summarise' and they make the code very readable.

Rafael López 的头像

Rafael López3 年前

It looks amazing. That's definitely something I gotta learn.

Albert Rapp 的头像

Albert Rapp3 年前

Yeah this package is a fun one 🙃 and it's easy to learn. In fact, my upcoming newsletters will talk about that more

Edo Danilyan 的头像

Edo Danilyan3 年前

I just realised that this package has similar output as in R plotly. What are the main differences between the plotly and ggiraph packages in terms of functionality and usability for creating interactive plots?

Albert Rapp 的头像

Albert Rapp3 年前

@DanilyanEdo I find {ggiraph} to be a bit closer to ggplot which makes it easier to work with. With {plotly} once you call ggplotly() it's all plotly syntax which I think is harder to work with coming from a ggplot background

toni_salvado_nayach@mastodont.cat 的头像

[email protected]3 年前

Mira @RosanaFerrero Parecido a lo q comentabamos el otro dia (una serie de gráfico funcionando como selector de otro) pero SIN crosstalk

FranktheTank 的头像

FranktheTank3 年前

Without using any JavaScript?!

Lefkios Paikousis 的头像

Lefkios Paikousis3 年前

Super impressive 👍. Had no idea ggiraph could plot a {patchwork}. Nice

brucearonow 的头像

brucearonow3 年前

Beautiful job!! Is there a way to register packages at OpenAI with enough taggage such that someone could request code to show x vs y from source() ?

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