Describe and Summarise your data

[@RProgramming101]

Get my FREE cheat sheets for R programming and statistics (including transcripts of these lessons) here: www.learnmore365.com/pages/membership-r-programming-data-visualization-and-research-methods

[@Shawn-gm4cf]

To parrot others, you always have premium R content. Probably the only resource where I look forward to seeing it in my KZbin feed.

[@Schmelena]

You really make the best R-videos. Always feel motivated to work with R after watching this. Thank you very much!

[@gregmartin]

Thanks 👍🏻👍🏻👍🏻👍🏻 glad to hear it.

[@data_kom]

I love your style of teaching. Your approach makes coding easy. Thanks for the great work you’re doing.

[@RProgramming101]

You're very welcome! Glad you enjoyed it!

[@franj3628]

Very well explained tutorial, as always. Please, keep posting new videos.

[@RProgramming101]

😀 will do 👍🏻

[@dingaroo2003]

I should have gone through this set of videos months ago! Would have saved me many sleepless nights and project delay!

[@RProgramming101]

Glad you find them useful!

[@aseelaraji7045]

Amazing way as Usual Thanks 🙏 keep up the great work looking forward for the next episode

[@RProgramming101]

Thanks 👍🏻👍🏻👍🏻

[@roxisrocks]

You are an absolute rockstar, thank you very much. R is amazing, and you are an equally amazing teacher.

[@jamesleleji6984]

Your videos are always illuminating and a great reference when working in R. Please do a tutorial on difference in differences using R. Thanks

[@ray564k]

Great video - thanks very much! Thanks for explaining that last part slowly too. One minor comment -> @10.02 I couldn't see your full console, so missed that there needed to be a close brackets, pipe operator before the 'arrange' function starts.

[@fredrickombede880]

The best place to learn R, I really enjoy. Thanks

[@RProgramming101]

Happy to hear that! Thank you for the feedback.

[@frankjr3787]

Hi Greg - would it be possible to make a video on creating publication ready summary tables using r and r-markdown? Particularly summary statistics tables and regression tables

[@DH-tv6wl]

Interested in this too. Have you tried the stargazer package?

[@CaribouDataScience]

Thanks, one note if you use the summary() on a column that contains factors it will return the number of rows for each factors.

[@MrLunary]

Great videos! Keep the good stuff coming!

[@romanvasiura6705]

Thank you for this lesson. Step by step I am begining to be a big fun of your KZbin channel 😀) P.S. Thank you for these valuable knowledge what you share for us.

[@RProgramming101]

Most welcome! Glad you liked it!

[@ikeforshort5363]

I am so grateful you took the time to explain 'everything.' I paid for a course and only learned a fraction of what I'm learning with your videos. I would love to know how to change the UTC timestamp into a particular zone. I am working with a crime dataset and trying to figure out #1 what day of the week most occurred and what time they occurred. I've read numerous articles, but I need help understanding the concept. ♥

[@ikeforshort5363]

Just found your Lubridate video... heading there now ☺

[@EguonoOgundare]

wonderful video. Greg, I have learned so much from your videos. Thank you.

[@RProgramming101]

Thanks for the feedback. Much appreciated. I'm glad that you found it helpful.

[@altareq24953]

wonderful lecture

[@spyrostsilimparis4101]

Your videos are excellent and you explain everything in a very simple way, I can say that I have filled in a lot of gaps, especially in visualisation. I was wondering if you will create more videos or specifically videos regarding loops. Thank you!

[@chetmanichaudhary5685]

Very helpful. How to compute with the data that contains greater than or lesser than (6) in R.

[@kottelkannim4919]

A tidyverse implementation of prop.table(table(AirBags, Origin))*100 is: Cars93 %>% group_by(AirBags,Origin) %>% summarise(number = n()) %>% ungroup() %>% mutate(propor = round (number / sum(number),3 )*100) %>% pivot_wider(id_cols = "AirBags" , names_from = Origin, values_from = propor) or even a shorter one using *count()* to replace the aforementioned 2nd and 3rd rows : Cars93 %>% count(AirBags,Origin) %>% mutate(propor = round (n / sum(n),3 )*100) %>% pivot_wider(id_cols = "AirBags" , names_from = Origin, values_from = propor)

[@somnusnemoris2903]

Thank you so much, I was wondering about that part

[@boojaado]

Thanks for providing these lines of code. I added the first part to this. Cars93 %>% group_by(AirBags,Origin) %>% summarise(number = n()) %>% ungroup() %>% pivot_wider(id_cols = "AirBags", names_from = Origin, values_from = number)

[@natashasamuel9346]

Great class. Keep up the good work. Thank You, Natasha Samuel

[@RProgramming101]

Thank you! 😃 thanks for the great feedback!!

[@muhammedhadedy4570]

Great as usual. Thank you so much for your great videos.

[@DB-kv3wu]

Great thanks!

[@brianglong11]

Excellent videos

[@RProgramming101]

Glad you like them!

[@phumzilendlebe2726]

Awesome! Thank you as always....🙏 You Rock!!!!

[@RProgramming101]

Most welcome! Glad you liked it!

[@onurucar1112]

Love your videos, please keep uploading them :)

[@paulyoung3897]

Thanks so much. These are great. Keep it up.

[@BenjaminLiraLuttges]

16:29 Rather than that you can simply do Cars93 %>% count(Origin,AirBags)...

[@RProgramming101]

Thanks !!! :)

[@space5more]

pivot not the issue, but lingering around number = n(). .. Thank you -

[@amosarubi8468]

I love you man! Thank you so much.

[@RProgramming101]

Happy to help! Thanks for watching

[@vijaybm4202]

Very well explained 👍

[@MadhumatiManjunath]

Wide_data is showing up as NULL in my RStudio's environment and hence pivot_longer is also throwing up errors. Please let me know what to do in this instance.

[@HoCkEyLeGeNd588]

HELP! That output table you made (with the period as a name)....how do I change the name of this or export the output as a CSV. None of the normal "write.csv" functions work when I try to extract the data. The sheet just comes back blank.

[@Roberttherobot69]

can u help summaries data from experiment such as CV% Significant data or not sig and how to table them

[@easydatascience2508]

You can try mine too. The channel has both Python and R playlist for fundamentals. And source files downloadable.

[@blackpanda43]

Hi, say i have two tables in R and i want to see which rows in a column in table 1 are also there in a column in table 2, how would I go about?

[@spirosgyparakis8888]

Great video, thank you! Is there any package that can be used to created the coloured table with the percentage indicator you showed at the beginning of the table? Thank you!

[@vincenzo4259]

Thanks

[@max5916]

New video 😍

[@RProgramming101]

😀😀😀

[@raghavkhandelwal7555]

Hello Sir, sir can you please suggest a good youtube channel from where i can learn Python

[@maidach6964]

Can you please help me i am trying to run this code but it shows error

[@maidach6964]

dstats

[@RodBarkerdigitalmediablog]

msleep %>% drop_na(vore)%>% group_by(vore)%>% summarise(Lower = min(sleep_total), Average = mean(sleep_total), Upper = max (sleep_total), Difference = max(sleep_total)- min(sleep_total), arrange(Average)%>%View() arrange(Average)%>%View() Error in View : object 'Average' not found

[@faribazare7350]

i get this error too

[@drsam7655]

There is a close parenthese and a pip operator missing befor arrange

[@saadalhumaid3959]

@@drsam7655 thank you

[@dopamining6932]

Really love the tutorials. Is there any chance there could be a playlist/video on user-defined functions and loops in the future? I'm finding it hard to find a good tutorial that goes through it all slowly. Cheers.

[@makemymarket1772]

Imagine have you as a professor at the university, everyone would pass. Big thanks to you!

[@RProgramming101]

Wow Thank you for your kind words, I really appreciate it!

[@yaweli2968]

I was thinking maybe drop_na for both vore and sleep_total. What if vore had no NA but its associated sleep_total had NA? Won’t it be best practice to drop NA in both? Oh maybe I am confused.

[@boojaado]

Hello, where is the 'analyze' tutorial? I do not see just one video. I do see the playlist for regressions, I want to assume these are the videos for 'analyze'.

[@skcarterr]

The prop table done with DPLYR didn’t give percentages.

[@coldwarifyful]

so far you have taught R in the best way. Please do the complete R tutorials with the aim of cracking a data analyst job. We really do not know what we need to cover as in for performing good at data analyst jobs. You can also make a video depicting an overall picture or syllabus for R, for different kind of analysis which will help us to know what all we have to learn to get a job as a DA first, and then take it from there. Please be consistent. You are amazing.

[@opal-r2h]

I hated R till I found your channel , I know there are a million comments telling you same thing but you are one of the best R teachers. I hope you are having a good day wherever you are in the world ❤

[@RProgramming101]

Thank you so much, Farida. I really appreciate your feedback 😀

[@andresrengifo7801]

Great videos about R, congratulations

[@RProgramming101]

Thanks very much. 😃😃

[@jababnamgay6366]

Very helpful sir

[@flaviusradac4602]

Can you be so kind to make a dummy variabile model please!!... Thank you! I love your videos, they are very helpful.. Thank you! :)

[@dougedmunds]

A note regarding code at 5:03. There is a coding difference between using the |> pipe instead of %>%. If using |> , the final "summary" requires parentheses, i.e., summary(). (R version 4.3.0)

[@matthewharvey4414]

The best educational R videos I have found on KZbin, thank you for the helpful information.

[@donkeyally]

Great R tutorial! I’m looking forward to learn. from you more =) Anyway, do you have any recommended book about R for statistics and data science for further reading?

[@worldwide6626]

What does number=n() do inside the summarise parameter?

[@MCshaneization]

Extremely well thought-out and practical!

[@sojibulislam1004]

You really make the best R-videos. Always feel motivated to work with R after watching this. Thank you very much!

[@RProgramming101]

Thank you for the feedback. Glad you enjoyed it!

[@yizheng6299]

Thanks Greg, R Programming 101 is the best R programming tutorial I have ever found !

[@RProgramming101]

Thank you for the feedback!

[@sullivanfam01]

Very helpful video! Do any videos explain how to create the prop table using the tidyverse?

[@ThomasWilliswin308]

Did you ever find a solution for this question?

[@zoubidanemer4500]

Thank you for these beautiful videos. I'd be really happy if you made one on packages that deal with spatial data like cartography. Thanks for your efforts 👍

[@RProgramming101]

Great suggestion! Thanks for your feedback 😀

[@nadyamoscow2461]

Many thanks once again for your fantastic course!

[@RProgramming101]

Happy to hear that! You are most welcome!

[@HugoLopez-ih4ut]

Why is it zoomed in too much!

[@608er]

?

[@best_time_clicks_]

Your way you of explaination is really nice...