Introduction to R: Factors

This is lesson 9 of a 30-part introduction to the R programming language for data analysis and predictive modeling. Link to the code notebook below:

This guide does not assume any prior exposure to R, programming or data science. It is intended for beginners with an interest in data science and those who might know other programming languages and would like to learn R.

I will create the videos for this guide such that you should be able to learn a lot just watching on YouTube, but to get the most out of the guide, it is recommended that you create a Kaggle account so that you can fork and edit each lesson so that you can follow along and run code yourself.

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Introduction to R Playlist:

[marcoventura]

So clear and so neat! Great video, great teacher. Thank You.

[AmritaPBB]

very well explained...i never understood factors before this

[rupalhatkar]

how can I assign levels to multiple columns of a data frame using factor?

[tree]

Great video sir! It really helps me out!

[questscape]

Are factors more memory efficient or more performant than character type? Why should we switch between them?

[ev]

what about labels? whats the difference between levels and labels?