If you enjoyed this video and want to level up your R skills even further, check out my latest video courses: 📍Data Cleaning Master Class at data-cleaning.albert-rapp.de/ 📍Insightful Data Visualizations for "Uncreative" R Users at arapp.thinkific.com/courses/insightful-data-visualizations-for-uncreative-r-users
For me it's that and that I can easily turn any ggplot interactive without losing anything of the original plot. With {plotly} half of the things are gone once you try to convert ggplot to plotly using {ggplotly}.
Quite interesting and enticing presentation. I wonder if in your incoming course would you provide all the programming details that went into the box_plot object. Thanks for bringing new perspectives.
If you enjoyed this video and want to level up your R skills even further, check out my latest video courses:
📍Data Cleaning Master Class at data-cleaning.albert-rapp.de/
📍Insightful Data Visualizations for "Uncreative" R Users at arapp.thinkific.com/courses/insightful-data-visualizations-for-uncreative-r-users
This integration with the patchwork package makes ggigraph superior to the plotly and other similar packages.
For me it's that and that I can easily turn any ggplot interactive without losing anything of the original plot. With {plotly} half of the things are gone once you try to convert ggplot to plotly using {ggplotly}.
Very cool work! Thanks for the video
Glad that you like it! ☺
Excellent !! Merci beaucoup 👍
You're welcome 🤗
Quite interesting and enticing presentation. I wonder if in your incoming course would you provide all the programming details that went into the box_plot object. Thanks for bringing new perspectives.
Glad that you like the video. ☺ As for the upcoming course, I haven't thought about the specifics for box plots yet.
How did you get the editor to show the indentation level with the colored blocks?
That's a setting in RStudio. It's called indent blocks. You can access in the same seeing page as the rainbow parantheses