Відео

Super-duper useful video, thank you, Albert, for your amazing contribution to the #rstats community.

Thanks for the helpful guide! Could you please show, in a future video, how to deal with new versions of packages becoming available? For example, if I had a Quarto document that used an old version of a package, and I want to upgrade it to use a feature in the new package? I’ve done something similar with python and venv, so would be interested to see how it could work in R with renv. I think it was really helpful for me to understand why virtual environments and lock files are important and powerful - especially for reproducibility and for deployment in different environments!

5:15 I would introduce libpath to demonstrate this idea.. great vid. Renv is Great

I thought renv doesn’t have multiple copies of same version packages (across projects). Rather, if it is already installed then a new project requiring that package (and specific version) links to that pre-installed version? So, there could be something like an renv store/library as well as a global? Trying to understand why packages existing in global aren’t linked to unless different version

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

You're awesome! Thank you for your hard work.

Amazing...finaallllyyyy... tutorials on PowerPoint. This is very important. We need more tutorials on this

Really nice! But why not use Quarto to export to pptx?

Next big thing: integration of ggiraph with pptx, so you get interactivity within the slide!

thanks so much

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

Hi Albert! Are you going to teach (show us hot to do the initial table about Germany that you showed at the brginning?? Could you make a series about that table, please?? I'm this series could be valueable for most of us (at least for me will be! 😅). Congrats for your awesome work 😉

Theres a meme with levels of awesomeness. Integrating classes in cli:: in your error handling is second to top level, which is understanding what the user *wanted* to do and suggest the correct code, as they often do with "n" or ".n" and in depcracted methods in tidyverse

Does hadley even write in R? Its all c and c++ under the mighty tidy hood 😅

Great explanation. Thanks for sharing this

Thank you for watching my latest video. ♥ If you enjoyed this video, I'm sure you're also going to love my Data Cleaning Master Class. Clean your data and find insights much faster at data-cleaning.albert-rapp.de/

I prefer the more explict expressions rather than short-hand because it may be difficult for someone (inlcuding one self) to interpret the code down the line. I like the ~.x versions e.g. map_dbl(coeffs, ~.x[1]) but I suppose with \(x) x[1] things are clear. Lastly I would have liked to have seen r-squared and the p value for the slope.

A simpler example would have drum home the point faster. Great work though

Your UA-cam lesson could also be used to understand the powerful concept of multilevel modeling regression (MLM), which rests on nested data. I imagine your map( ) could be used to pull out the estimates generated by MLM. Thanks again for another superb lesson.

Great thanks. And cool new logo!

Keep doing the good work, Sir. Always a good feeling when I get a notification that a new video has been uploaded on your channel, Dr. Can you kindly consider doing a video on Web scraping, sir. There are none to very few resources on things like async web scraping using R (be it using httr2, mirai, async). As always, thank you for your good work, sir!

Thank you for watching my latest video. ♥ If you enjoyed this video, I'm sure you're also going to love my Data Cleaning Master Class. Clean your data and find insights much faster at data-cleaning.albert-rapp.de/

Thank you for exposing me to this library. Huge time saver. Will start implementing this right away

We need more tutorials on the officeR Package. Very limited tutorials on youtube

Excellent, Is it possible to share the code?

Great video! I wonder what would be the benefit of using this package to make a Word doc as opposed to using Quarto and rendering as a Word doc?

Thanks for this tutorial ❤ Do you think it would be possible to use a template and the replacement functions to create a serial letter? I think „map“ could work, but then I will have a file for each letter. I already tried it with knittr and quarto but failed 😂 Thanks again 👍🏻

Unrealted question but how do you set up RStudio in a way to get these red-yellow-green squares that visualize the intendations?

Please do a qmd to PowerPoint, using custom PowerPoint template. Include the setting up PowerPoint and qmd parts. Company/custom styling etc.

Need to try this, I always copy pasted the charts to word doc

This is great, but for all of you students or hobbiests, youd wish to have such a nice data in your actual job. as a dummy example to get to know stringr and tidyr, its a nice tutorial :)

this is crazy,I watched first 10 mins without coding, which shows how you explain everything so easy

Thank you for watching my latest video. ♥ If you enjoyed this video, I'm sure you're also going to love my Data Cleaning Master Class. Clean your data and find insights much faster at data-cleaning.albert-rapp.de/

Thank you very much for the tutorial. However, it seems that my density plot from one categroy is overlapping with the dotplot from another. Is there a way to fix this?

thanks a lot. as usual a great video. yes, glue_sql is really one of the best functions to work with databases

Very nice tips and details on the use of glue and SQL query!!! Thanks for explaining them. They are a bit tricky. It could have been quite a while until I figured out where the error is. What a nice optimized approach you used for this part of the filtering. Great video Albert!

What a timely video. I'm working on a project using Duck DB from R. I know that Duck DB supports enums, nested data, and pivots, but I have no idea how to use them with DBI or dplyr. I'll put examples in the replies.

In my first year of data science i went through pain of writing a parser, build with paste XD this would have been easier. Although some time later i found out about the dbplyr package, which literally converts tidyverse syntax into sql syntax. quite nice if the queries aren't too complex

Thank you for watching my latest video. ♥ If you liked this video, I'm sure you're also going to love my Data Cleaning Master Class. Clean your data and find insights much faster at data-cleaning.albert-rapp.de/

Very nice package. Are you aware of anything like that to scrap data from pdf documents?

I recently discovered your teachings here and on LinkedIn. You are a brilliant instructor-thank you!

==> quarto preview Untitled.qmd --to dashboard --no-watch-inputs --no-browse ERROR: Validation of YAML front matter failed. ERROR: In file Untitled.qmd (line 3, columns 9--18) Field "format" has value dashboard, which must instead be 'asciidoc' 2: title: B dashboard 3: format: dashboard ~~~~~~~~~~ 4: theme: flatly ERROR: Render failed due to invalid YAML.

I thought i never needed this package in my line of work...but after seeing this i can think of some use cases which can make my data clean easier. Thnx for that

Thank you for this. I learnt about a new trick, using group in str_detect thank you for this

Hi, where I can find tbl_data.csv ?

Why not scrape it? The issue with copy-paste that it is not strictly reproducible.

In less than 15 minutes, I learned more about general expressions from Albert than from all the books I had on the topic. I finally understood the role of parentheses in identifying groups within general expressions. If this UA-cam lesson is a preview of Part 3 of the R Data Cleaning Master Class, I can only imagine the invaluable insights Albert will share with those just starting to learn R.

As always, top notch content Albert, thank you so much! One thing to note on the capturing groups though: the group argument in str_extract is supposed to receive an integer rather than a boolean as you can have more than one capturing group! In this case you only have one capturing group and so TRUE evaluates to 1 and that’s why it works! You can check the documentation for great examples!

You always surprise me with functions in well known packages which I haven't know. Thanks!

Thank you so much, my dear professor. I launched your data cleaning course, it's AMAZING. The best R tutorial I've ever had so far. Just one favour, would you please share the data source or website data that you used in this video? I would like to replicate your code. Thanks again, and greetings from Egypt. ❤❤❤❤