Best overview of the Tidyverse set of libraries and methodology that I've come across. I appreciate you using an Rmd file to illustrate/document what you were doing. I appreciate you following the R coding standard. Makes R much more readable, especially if you are new to R. As a result of this webinar, I've become a subscriber to the DataCamp channel. One good webinar is worth 1,000 skipped Adds.
Thanks for the webinar, it gives interesting insights about some very useful packages and functions, I have a question though, I did not quite understand what the "%>%" is used for or how it could be used, I looked for it on the internet and it apparently "takes the output of the command and makes it the input for the next one". Is that correct? or does it simply make the link between successively used functions? Also I have been having issues installing (and even finding the broom/ tidyverse package / collection), it says not available for R version 3.4.2 , I checked and there's no update to do. Thanks
The pipe operator does just what the name implies: it "pipes" functions together in the order they are written. Ex: df %>% group_by(var1) %>% summarise_at (var2:var3, mean) ; will take a df, group it by variable1, and summarize the df by the mean values of variable 2 & 3. The pipe operator allows for the logical flow of do x, then y, to get z.
I have been using Tidyverse for years and I learned so much from your video! Thank you so much for your great work!
Best overview of the Tidyverse set of libraries and methodology that I've come across. I appreciate you using an Rmd file to illustrate/document what you were doing. I appreciate you following the R coding standard. Makes R much more readable, especially if you are new to R. As a result of this webinar, I've become a subscriber to the DataCamp channel. One good webinar is worth 1,000 skipped Adds.
This was fantastic, thank you :)
greatest summary of tidyverse i have ever come a cross, is there more videos in the same track?
Love this! Super clear and succinct
this is a great introduction on all the (great) things you can do on tidyverse. great job!
Thank you!
awesome,thank you
Hi! great video! Nonetheless, I don't know why the operator %% is not working for me :( It says that the function could not be found. Thanks!
Brilliant, thank you...
Thanks Emi, this is super helpful; I have enjoyed it so much!
Awesome. Thank you
Thanks for the webinar, it gives interesting insights about some very useful packages and functions, I have a question though, I did not quite understand what the "%>%" is used for or how it could be used, I looked for it on the internet and it apparently "takes the output of the command and makes it the input for the next one". Is that correct? or does it simply make the link between successively used functions?
Also I have been having issues installing (and even finding the broom/ tidyverse package / collection), it says not available for R version 3.4.2 , I checked and there's no update to do. Thanks
The pipe operator does just what the name implies: it "pipes" functions together in the order they are written. Ex: df %>% group_by(var1) %>% summarise_at (var2:var3, mean) ; will take a df, group it by variable1, and summarize the df by the mean values of variable 2 & 3. The pipe operator allows for the logical flow of do x, then y, to get z.
@@delt19 great! thanks
Download and install R from CRAN cran.r-project.org/bin/windows/base/, last version is 3.5.1.
I always learn something - things I used to know and had forgotten. This was really helpful. Any chance you will share the dataset?
Never mind, found it ion Kaggle!
superb
Where may we find the data?
Hi David, here is the link: www.kaggle.com/kaggle/kaggle-survey-2017