Thanks for leaving such a nice comment :) glad you liked it.

Can you send me an email with the data as an attachment and maybe add an image with a similar looking chart ([email protected]). You can also join my free skool community (www.skool.com/data-analysis-with-r-6607/about) where you can download my r-scripts and post your requests.

@@TheDataDigest Thankyou so much for prompt reply.

He looks a bit over powered. But Magnus actually is equally good if he competes in the tournament.

My pleasure. Thanks for watching the video and taking the time to comment is such a nice way. If you want to download the code to these functions you can find it in my free skool community: www.skool.com/data-analysis-with-r-6607/classroom/891d9c01?md=b433f484e5334d08937e6ce12bdda091

That should be possible. If you google "actogram in R" you even find an "actogrammr" package that someone build in 2022. You can email me the image/chart you want to create and we can work on it together. Maybe it is enough to make a barchart and ridgeline plot separately and just join them with patchwork.

Hi Shuchi, what do you mean? I thought the video above explained the Anscome quartet?

I first tried to copy the entire html code from the body into chatGPT, but that were too many lines of text. Is there a way to extract the grid or structure info from F12? Or could the online version chatGPT 4.0 access the website and investigate the structure by itself?

@@TheDataDigest it claims it can ("I can certainly help with summarizing or describing the structure of a webpage. For example, I can outline the general HTML structure of a page, explain how its components work, or describe the layout based on what I can access.") but I can't waste any 4o prompts right now :D What you can try is to save the webpage as html and then supply that file to chatGPT, context windows are pretty large by now

Very true (sadly). There is a project called TidyTuesday, where a clean dataset is created every week, ready for analysis. But this is often an exception especially with new data. But here chatGPT was quite helpful with the separate() function and the conversion based on "k" or no-"k".

Danke für das Lob und den lieben Kommentar. Ich hatte Glück, dass mein erster Chef Kanadier war und auf der Arbeit fast nur English gesprochen wurde. Also die Community gibt es schon (siehe Link unten), also wenn du joinen möchtest oder sie jemanden empfehlen kannst wäre ich dir sehr dankbar.

Thank you. I will post it in the two communities you mentioned with some good screenshots.

Thank you so much Hamed, I spent 10h yesterday for this 10min video but I really wanted to explore the current landscape of the platform. I am glad I found some interesting highlights that you liked. Thanks for giving the video a chance and leaving such an encouraging comment.

Hi Hamed, do you mind if I ask you what the reason is of you not signing up to the skool platform? Are you learning and using R yourself but prefer to study it in a different way? You can be totally honest, I just want to understand what potential barriers people have to joining my group. Also would you know someone that might be interested in learning R in a small group and would join me on skool?

​@@TheDataDigest Hey Torsten, I am not using R at all, and that is the only reason. I primarily use Python and SQL. I follow your channel because of your thought process and analysis where it's both intersting and have transformable skills where R is only a tool and I am mostly interested in the results and final findings. And to be fully honest I would say your videos target very niche number of people. for example I found your channel after I got recommended your video about Title Tuesday which I know and follow as a chess player but the majority of people does not. also with this video you are targeting people who know and use skool which is a platform i never herd of, general people will skip these as they don't understand what the video is about. Not to mention that you already targeting a niche community who are interested in Data analysis. Maybe I would have considered it, if it was more general such as "Data Analysis" rather than focussing on R.

@@hamedrajhi Wow! Thanks for sharing your thoughts with me in such a detailed way. It is really helpful. Firstly, Python and SQL is bad ass. It means you manage a lot of data and analyze it in a very solid way, respect! I appreciate why you watch my videos and take it as a compliment :). And everything you mentioned about my niche is definitely food for thought. I will consider making videos that might be more general about analysis frame works regardless of the actual programming language/tools. There might be an entirely new market I could add value to. But also, my most viewed video has >40k views and ~6k people visit my videos per month. So I hope there are at least 100-200 people that want to join my skool community to improve their R skills with me. But again, thanks for making me think about how to better attract them. Have a great weekend!

@@hamedrajhi The next video will be about web-scraping in general but I will use skool again as the target of the data gathering. So it should be interesting to people that want to learn web-scraping regardless of the target url. But I will explain again, what skool is used for and raise awareness.

пожалуйста (hoping google translate got this right)

You are welcome. Let me know if I can help you with anything else. For what data are you using the correlation plots if I may ask?

Absolutely. For example the German Goalkeepers are quite similar in skill but ter Stegen age 32y is worth €28mio vs Neuer age 38y €4m. I am planning to do a bigger analysis with all 622 players where I also show the R code. There I will consider age, games played and other factors. Also, Mbappe worth €180m moved from Paris to Madrid this year without that payment because his contract ended.

@@TheDataDigest cool 👍🏻

Guter Kommentar :) Besten Dank zurück. Hatte mich einfach interessiert wie aussagekräftig der Marktwert bei den Ergebnissen ist.

Thanks for watching my video and the nice compliment. I think I can still improve but I am glad you found the instructions helpful.