Part 1 - Easy ways to collect different types of data from the web with R

November 10, 2016 Garrett Grolemund

The internet is a treasure trove of data, if you know how to collect it. In this two-part series of webinars, we will examine easy ways to collect different types of data from the web with R.

In Part 1 we will use the httr package to collect data that is provided through web APIs. APIs are a popular and efficient way to share data online. If someone purposefully collected your data to share online, there is a good chance that they are sharing it through an API. Unfortunately, not all APIs work the same way, and how they are implemented depends largely on the developer. In this webinar, we will look at the basic components of HTTP, the language that underlies web APIs. You will learn how to make HTTP requests to an API with the httr package, and how to use best practices when making HTTP GET requests from APIs with R.

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About the Author

Garrett Grolemund

Garrett is a data scientist and master instructor for RStudio. He excels at teaching, statistics, and teaching statistics. He wrote the popular lubridate package and is the author of Hands On Programming with R and the upcoming book, Data Science with R, from O’Reilly Media. He holds a PhD in Statistics and specializes in Data Visualization.

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Part 2 - Easy ways to collect different types of data from the web with R
Part 2 - Easy ways to collect different types of data from the web with R

Easy ways to collect different types of data from the web with R.