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Nice contribution!

That's awesome, super clear and concise! Before, when I needed a QR code, I always turned to the same 2-3 webpages that make it "for free" but charge if you try to do anything extra with it, but this has just become my default method now to do it. Thanks for sharing

Brilliant! Thanks for this

Well explained and demonstrated. Thank you!

thank you so much

Thank you for this walkthrough. Very thorough!

nice tutorial

This is, so far, the only one I've found that best explains what the message means and what the ".groups" arguments really do. The other explanations online are vague and confusing. Adding that "slice_max" function helps a lot to demonstrate what really happens to the output. Thanks so much!

That's neat. Still, I am yet to understand the added value of moving from Rmarkdown to Quarto

Thank you for this amazing and clean graph. I could recreate it exactly as you did. I wondered how the geom_textpath() function places the country names in an appropriate position and with the proper slope/inclination.

amazing work, David. thank you for suring. i will definitly recreate this

Greatest

Awesome - thank you so much!

You can do this in dataframe view by using the “Filter” button, but view() is useful when filtering for dates (which for some reason cannot be filtered by using “Filter” button in the dataframe view) 😉

Thank you so much for this amazing video! It was incredibly helpful in guiding me to create my graphics. I had to make a small adjustment to the frames in my script, and here’s the code snippet I used: library(magick) library(gganimate) animation <- middle_east_refugees_map + labs(title = "Refugees as a percentage of total population in {current_frame}") + transition_manual(year) animate(animation, nframes = 24, fps = 1)

Wow, thx for the update ! I did really enjoy this short presentation !

I always learn so much from R for the rest of us TH-cam, but this one on reverse-engineering the Financial Times viz is a game-changer! It’s going to be my go-to resource. I discovered new techniques like slice_max() and advanced uses of ggplot2::annotate(). It also show cases using tools like SIP to uncover hidden HEX color codes.

Thank you for the trick. How do you draw rectangular box or highlight code by underlying it using orange type color. Which tool you use?

Thanks for sharing. Amazing video! I'd to try and recreate this in Power BI using Vega-Lite code. Could you kindly point me in the right direction of the Gapminder data source please?

Hey! Very nice work. I'm still trying to learn some more advanced ggplot stuff and your videos have been very helpful. I want to add that the central line can be added very easily with geom_hline() since it runs parallel to the whole x axis, though I get why you didn't do it since it made no sense with your data.

thx for the video

The code that I created in the stream is here: gist.github.com/dgkeyes/4a9301e2aecb04ee0a2aded93e91ed32

very clear and straightforward 🎉

hm, i think it would be nicer to use theme( panel.ontop = TRUE, panel.grid.major.y = element_blank(), panel.grid.major.x = element_line(color = "white", linewidth = 0.25), ... ) instead of the whole geom_vline(...). That way you can control the breaks and labels of the x axis by scale_x_continuous(...)

❤❤❤

As usual, a concise and powerful tips are provided. Many thanks for making our coding lives easier.

Great, didnt know the atroke argument with shape 21! Question: can you control thr stroke's transparency? Something like stroke_alpha? I assume there's a css behind the scenes for it. Another thing: You can use position_dodge() to set x and/or y distance, much like jitter but with greater control

Very nice. I like the approach of using ifelse statement for label, if_else location == hartford, pct_fmt, NA. This way I don't need to store the data (i usually run filters and mutations before passing to ggplot)

Thank you but what is the advantage of this versus using the update function in package tab in Rstudio?

Thank you, love your content. This is so helpful

This is like going through "storytelling with data" book in 20 min....nice!!

Your reports have great layouts.. I was wondering if you achieve this with quarto/Rmarkdown only, OR are you using latex or Illustrator to finalize the layout! If these reports are solely quarto/Rmarkdown based, can you point out a sample or tutorial? Layout of images and text is my weakest point and the example quarto templates that I can find are too basic and had no layout aesthetics..

Very nice. You know, I think what's missing in this space is a tool that includes both parametrized reporting and manual exception handling. For example, in cases where a rule works almost everywhere, just use the rule everywhere except for the problematic items. The perfect GUI would then allow to edit those cases manually, and ideally produce the code to handle these exceptions (based on those manual edits, a la Bret Victor).

extremely instructive, thank you so much for sharing your hard-won experience and expertise

Really nice video!

Great video!

Do you have the code?

Hey, I've been following the code on the blog post (with my own data) but when I call + geom_col() my chart goes upwards and not across. There are other ways for me to 'hack' it to go across, but then the rest of the code isn't the same. Besides, it's bugging me that I'm using exactly the same code and getting a different result. Why might that be? I tried to comment on the blog post itself but it keeps telling me I need to be logged in even though I already am! (A bad day for technology today clearly 🫠)

Sometimes errors related to font size may occur when saving as a picture. The showtext package helps. showtext_auto() showtext_opts(dpi = 300)

Brilliant addition to for R data viz! Do you know if it is base R compatible or an alternative?

Underrated TH-cam channel I think you should work on your thumbnails

This is exactly what I needed to learn how to do. Thank you!

Excellent tip. Thank you

Cool！

Thats sick wow

An excellent lesson. You learn not only about setting consistent axes, but also about ordering categorical variables and pulling out a variable's maximum values.

wow this is excellent !!!!!!!!!! thank you

It was fun to watch three of my favorite R-experts in one single TH-cam session.

❤ thank you

Creativity along with a deep knowledge of different r libraries makes this TH-cam an indispensable lesson. Thank you for making complex functions accessible.