Learn basic programming in R through practical data pre-processing tasks. Participants will learn how to use R to import, inspect, clean, transform, summarize, reshape, and export messy datasets. The session will include guided demonstrations and hands-on exercises where attendees practice writing R code using common tools and packages.
Learning outcomes:
- Introduction to R
- Importing and inspecting data
- Cleaning column names and fixing data types
- Filtering, selecting, mutating, and summarizing data with dplyr
- Handling missing values, duplicates, and inconsistent categories
- Reshaping data with tidyr
- Exporting cleaned data for analysis
Prerequisites to participate in the hands-on exercises during the session:
1. You will need to bring your own laptop
2. Install R from https://cloud.r-project.org/
3. Install RStudio from: https://docs.posit.co/ide/user/#rstudio-ide-oss-downloads
4. For help with installation of R or RStudio drop in at virtual office hours using the link: https://rci.research.ucf.edu/resource/virtual-office-hours/
Presented by Satyar Foroughi
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