Introduction to R: Matrices

In this lesson we learn about matrices: two-dimensional data structures in R with rows and columns. Matrices are a building block to learning about more complicated tabular data structures like data frames which are used extensively in data science. This is lesson 6 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: Matrices 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. Follow DataDaft on social media for news and updates: Twitter:   / datadaft   Introduction to R Playlist:    • Introduction to R