Advanced Data Wrangling with R, Part I
In this first of a three-part series we take a deep dive into binding, merging and reshaping data in R. Binding and merging is what we do when we want to combine two or more sources of data, or when we want to subset one data source based on membership in another data source. Reshaping data is often required for plotting or modeling and is one of the core concepts behind creating a “tidy” data set. In this workshop we’ll provide a thorough introduction to these topics using the dplyr and tidyr packages and provide you the instructions and exercises to help you apply them to your own data.
Prerequisites: basic experience using R, or successful completion of our Intro to R workshop.
Instructor: Clay Ford
- Date:
- Tuesday, September 11, 2018
- Time:
- 10:00am - 12:00pm
- Location:
- Brown Library 133 (Clark Hall)
- Campus:
- Brown Science & Engineering
- Categories:
- Data Workshop Workshop
- Presenter:
- Clay Ford
Registration has closed.
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