This is awesome! You have a gift for teaching. Thank you

Thank you! Excellent explanation and coverage of the joins in dplyr. I learnt a lot from coding along with you. I hope you make more videos to share your knowledge of R, and data science.

Straight to the point! Very helpful. cheers

Thank you so much! This was really helpful. Hugs from Argentina!

Thank you so much!! The join multiple columns was really helpful.

Great video on joins. Thanks

very basic ,very good.

THANK YOU

Thank you genius :)

Very helpful

FINALLY A VIDEO ABOUT THIS SUBJECT IN AMERICAN ENGLISH

thank you

Thank you for making these videos on dplyr and R studio, its really helping me out! If also may ask why is it that the full_join is the only command of the joins that uses by=c( ) instead of by=

@DataDaft

3 жыл бұрын

When joining on only one column, you can pass in that single column name using --> by = "join_col" In the full_join example where we are joining on two columns, we have to pass a vector of columns so we use --> by = c("join_col1", "join_col2")

Thank you very clear presentation. Can dplyr replace SQL?

awesome

which IDE are you using to run the codes? Thanks

Please what if you have two datasets with different colnames and rows but you are asked to merge the two

@DataDaft

3 жыл бұрын

If you have two columns with different names but that contain the same information/unique identifiers, such as "P_ID" in one data set and "Patient_ID" in the other, you can use the argument by = c("P_ID" = "Patient_ID") to join on that column despite the different column names. If the data sets don't have any variables in common (regardless of whether they actually have the column names) I'm not sure how they can be joined/merged in a meaningful way.

i fucking love u you saved me

which IDE are you using to run the codes? Thanks