Join Tables with {dplyr}

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If you know how to tidy up data within one table, you’re already a skilled data scientist! However, as data continues to grow exponentially, taking your skills to the next level involves mastering the art of working with multiple tables within a database, typically done using SQL. In this post, we’ll learn three essential techniques using {dplyr} that will allow you to handle databases with ease: merging multiple tables, reducing redundancy through table joins, and effortlessly modifying values within the resulting table.

If you only want the code (or want to support me), consider join the channel (join button below any of the videos), because I provide the code upon members requests.

Enjoy! 🥳
  1. yuzaR Data Science
  2. ai
  3. artificial intelligence
  4. machine learning
  5. data analytics
  6. data analyst
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Комментарии
Автор

I freaking love this!!! Honestly old me used SQL scripts into R to avoid complexity, but now I can see dplyr makes it even simpleR. Thanks Yury. Greetings from Colombia

WilOspinoC
Автор

I love all your work, and I'm a big fan of your channel. Excellent tutorial as usual.
Please, keep up the great work and thanks for everything.
❤❤❤❤❤

muhammedhadedy
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I too think that 'dplyr' walks all over SQL. When I've told databases SQL guys who don't know R, they look at me like I'm crazy. The only limitation is the memory limitation of R.

chacmool
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Hi Sir, (Out of context).
How can I carry out a cross tabulation by setting some exclusion of values. For instance, variables under observation are x and y where x variable has zero values and should be excluded during plotting of the table.

harryporterdigitalservices-rm