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
To participate in the hands-on exercises during the session, you will need to bring your own laptop equipped to install software specific to the lesson.
Presented by Satyar Foroughi
Read More