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Data Preparation: taming wild data with R
Data analysis involves a large amount of preparing, cleaning, and "munging" data to facilitate downstream data analysis. This workshop is designed for those with a basic familiarity with R who want to learn tools and techniques for advanced data manipulation. It will cover data cleaning and "tidy data," and will introduce participants to R packages that enable data manipulation, analysis, and visualization using split-apply-combine strategies. Upon completing this lesson, participants will be able to use the dplyr package in R to effectively manipulate and conditionally compute summary statistics over subsets of a "big" dataset containing many observations.
- Date:
- Tuesday, March 5, 2019
- Time:
- 1:00PM - 4:00PM
- Instructor:
- Marieke Jones
Registration has closed.