How To Load Your Machine Learning Data Into R

Last Updated on August 22, 2019

You need to be able to load data into R when working on a machine learning problem.

In this short post, you will discover how you can load your data files into R and start your machine learning project.

Kick-start your project with my new book Machine Learning Mastery With R, including step-by-step tutorials and the R source code files for all examples.

Let’s get started.

Access To Your Data

The most common way to work with data in machine learning is in data files.

Data may originally be stored in all manner of formats and diverse locations. For example:

• Relational database tables
• XML files
• JSON files
• Fixed-width formatted file
• Spreadsheet file (e.g. Microsoft Office)

You need to consolidate your data into a single file with rows and columns before you can work with it on a machine learning project. The standard format for representing a machine learning dataset
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