Introduction to R: Frequency Tables

After loading data, it is important to get a sense of the distribution of the variables and how they relate to one another. This process known as exploratory data analysis or eda. Frequency tables are a tool for exploring categorical variables (variables that encode variables with a discrete set of categories as opposed to numbers.).

This is lesson 18 of a 30-part introduction to the R programming language for data analysis and predictive modeling. Link to the code notebook below:

Introduction to R: Frequency Tables
https://www.kaggle.com/hamelg/intro-t...

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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