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Data analysis involves a large amount of janitor work - munging and cleaning 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: Feb 26, 2015
Time: 9:00am - 11:00am
Location: Health Sciences Library, Carter Classroom
Pre-requisites:
- This is not a beginner course. This workshop requires basic familiarity with R: data types including vectors and data frames, importing/exporting data, and plotting. You can refresh your R knowledge with DataCamp's Intro to R or TryR from CodeSchool.
- Bring a laptop to the course with the software installed as detailed below.
- Print and bring this R Cheat Sheet as a refresher from the intro R course.
- Print and bring the Data Wrangling Cheat Sheet from this link.
Registration: Click here.
Course material:
You must bring a laptop with the necessary software installed to the course. Please install the software below prior to the course - we will not have time during the workshop to troubleshoot installation issues. Please email me (sd...@virginia.edu) if you have any trouble.
{% include setup-r.md %}