dplyr: Joins

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Joins let you combine two data tables together based on a shared column that uniquely identifies the records, also known as a key column. When your data is spread out across multiple tables, you may need to perform one or more joins to get it all into one big table before doing other data cleaning and analysis tasks.

Link to the Kaggle Notebook code used for this video series:

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

jandrew

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

mariamaroni

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.

michaelhudson

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

bukolaadebayo

Straight to the point! Very helpful. cheers

svendavidsson

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=

Timska

FINALLY A VIDEO ABOUT THIS SUBJECT IN AMERICAN ENGLISH

carolwrezende

which IDE are you using to run the codes? Thanks

jamesleleji

Thank you very clear presentation. Can dplyr replace SQL?

joankettfield

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

walterbondzie

which IDE are you using to run the codes? Thanks

jamesleleji

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