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Good morning sir Rapp, I checked out your blog on this video, the full code was there but no link for one to download the qmd file and above all_ the practice excel data you used. Can you help with the excel file so following along is in sync and produces same results. Thanks a million sir

another great video!! also just wondering how do you get the indentation blocks on the left of each line? thanks!

Gotta say that doing title case in reachable I stead of rename is probably not the way to go. Otherwise as always, great tips!

This is going to be awesome, worth learning. Thanks a lot. Looking forward to this series

Thanks!

Amazing! Really looking forward to this tutorial

I love this package! good stuff 😊😊

Thank you for watching my latest video. If you liked this video, I'm sure that you're also going to love my Video course. You can check them out at: 📍Insightful Data Visualizations for "Uncreative" R Users at arapp.thinkific.com/courses/insightful-data-visualizations-for-uncreative-r-users 📍Data Cleaning Master Class at data-cleaning.albert-rapp.de/

this is really cool stuff ! i would just say (if i'm being anal) that this (indeed beautiful/useful) end product you built is PERFECT for a niche/ad-hoc analysis where we don't expect the data to change that much over time or if we know this is a one time snapshot in time for the plot; making the extra work to create such beauty for recommendations/messages we are trying to convey warranted- the 'beauty' of the spaghetti chart displayed at the very beginning on the other hand is that they are a lot more generalizable and hence find a lot more use cases to be replicated- but either way learning so many neat/smart tricks on this channel <3

Hey Albet. Your figures are great. Could you help me fix the last step? When I run the code in the section "Assemble the charts," the result shows "There were 50 or more warnings (use warnings() to see the first 50)," and the plot is fading. It only displays the chart's frame without any details. Please help me.

Thank you for the tutorial. Apologies for the n00b question, but I'm trying to follow along, in rstudio and quarto blog but I'm getting the following error, any advice? Thank you. Error in loadNamespace(x) : there is no package called ‘here’

Albert, I cannot recreate your plots. The calendar dates are all mixed up. I did find an alternative that is good enough for EDA. The output is not as nice as yours - that is hard to match. In the openair package (it is a package for air pollution studies) there is a function called calendarPlot(). That can used to create quick-and-dirty plots. It basically allows you to see if there is anything to look at before diving into a much more involved heatmap such as yours.

What do we do when there is no flight on a given day? I have some data were there is no data some days - perhpas because it was not recored. But still - is there a way ato add those. Finally, is there not some plot specifically for plotting count data on top of a calendar?

Very interesting but when the code gets this long errors are prone to creep in. Why not chop it up and simply add pieces?

nice video, i never though about this way of visualization of time series, very interesting!

hey you switched from blue to green! when did that happen

Im considering a transition to gnu-linix, specifically ubunto (lts version). Any chance to see a post/video on things to consider when using R on ubuntu? Im a windows user atm.

As always, excellent video. Really intuitive and easy to follow. Thank you for this content Albert 👏

09:04 i laughed abundantly and shamelessly

Thank you for watching (and hopefully enjoying) my latest video. If you liked this video, I'm sure that you're also going to love my Data Visualization course. You can check it out at: Insightful Data Visualizations for "Uncreative" R Users at arapp.thinkific.com/courses/insightful-data-visualizations-for-uncreative-r-users Or if you want to learn about data cleaning, my Data Cleaning Master Class will teach you everything you need to know about data cleaning, working with Excel and JSON files, and dealing with text data as well as time data. If you want to get faster and better at making sense of your data, check out: Data Cleaning Master Class at data-cleaning.albert-rapp.de/

Is there any table package in R where it shows total and if we filter (like you did in this video), it shows the filtered total ? I haven't seen such option available in gt() or flextable() or formattable() or dt()

I walked through this with my data set today. As someone with little ggplot experience, this was a life saver. It was a great hands on way to get more comfortable with the syntax of ggplot. Very helpful video! Thank you!

Thanks , that was very helpful.

Is it possible to do a video on how to host a dashboard using Shinylive in R ? Thanks!

Wow this is such a great package. The syntax is so clean! Thanks for sharing! Time to update some code on some charts :)

Great share! Thank you.

Thank you! This is really useful. I was going to try {marquee} for my projects, so I'll combe back to this video in the future.

Thank you for the Marquee examples. It would be nice to be able to annotate a ggplot with a gt table. Your audio is a bit low (at least compared to commercials that play at full blast).

Thanks for sharing Albert. I also raised this query on your blog a few days ago. Actually I was doing similar workaround in this kind of situations, and I thought there could be a smarter way of doing this thing. The workaround you proposed is similar that I am doing at present and is a bit cumbersome when one has to make large number of charts. I still feel there is a smarter way of doing this thing where probably color luminance value is picked up in background and label text color is modified accordingly as in Excel and tableau, etc.

Finally Albert! :)

Thanks Albert

Thank you for watching (and hopefully enjoying) my latest video. 😊If you liked this video, I'm sure that you're also going to love my Data Visualization course. You can check it out at: 📍Insightful Data Visualizations for "Uncreative" R Users at arapp.thinkific.com/courses/insightful-data-visualizations-for-uncreative-r-users Or if you want to learn about data cleaning, my Data Cleaning Master Class will teach you everything you need to know about data cleaning, working with Excel and JSON files, and dealing with text data as well as time data. If you want to get faster and better at making sense of your data, check out: 📍Data Cleaning Master Class at data-cleaning.albert-rapp.de/

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

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

Thank you so much

I have mixed felling about this one. Too much code for such a small chart. this is the case I would just go ahead and make the chart using adobe illustrator. More seriously tho, what makes the state names go to the left and their rankings to the right? Both these are added as _geom_text()_ and the only difference I can see in their definition is the *hjust* parameter. Is that why? Also, is *ggbump* yet another package? man, there are so many of such *gg** goodies. I wish the author of ggplot would update it and add as many of these as possible!

Cool, thank you. I learned a lot. But, please tell me what is '|>'? What is the difference to the normal pipe operator '%>%'?

woow. I think Quarto is going to be the next evolution of Shiny. I am getting fully versed into this package and would be a bit sad if these guys at Posit phase it out fast but it's good to always have some thing new to learn. So, i am up to the challenge; bring it on!

woow, i like these trinkets of ggplot nuggets. keep doing what you are doing here.

I find it easier to just use httr, call the api, and map myself. But to each their own.

that's a userful funtionality I din't know about. I am going to try that on my next project.

"G damn it!" - love it. That's a real coder's reaction! That's keeping it real (as we said back in the 60's). Thanks for all your videos.

Fantastic

Felt like i completed my PhD in ggplot line charts after watching this video. Thnx for the extra packages info which was not aware of

Very useful video

This is very useful, thank you for sharing this❤

Nicer to put the legend ( subtitle) in the figure caption to save space and better when more levels.

Thank you! I learned a lot thanks to your explanation.

This is very helpful,Thank You

Very wonderful teaching! Is there any way to achieve a similar chart in plotly?