Storing data

The last step after manipulating a dataset is to store the data for future use. The easiest way to do this is to store the data in a static file. I show how to output the data to a static file in Python in Chapters 3, Reading, Exploring, and Modifying Data - Part I and Chapter 4, Reading, Analyzing, Modifying, and Writing Data - Part II. I show how to do this in R in Chapter 6, Cleaning Numerical Data - An Introduction to R and Rstudio.

When working with large datasets, it can be helpful to have a system that allows you to store and quickly retrieve large amounts of data when needed.

In addition to being a potential source of data, databases can be very useful in the process of data wrangling as a means of storing data locally. In Chapter 9, Working with Large Datasets, I will briefly demonstrate the use of databases to store data.