Introduction to Data Wrangling and Visualization in R

Date: 04th, 05th, 06th March 2025, Time: 10:00-13:00 each day

Location: Seminar room 0.03, Hamburg Center for Translational Immunology (HCTI), Building N25, UKE

Instructor: Zeba Sultana, III. Department of Medicine & Institute of Medical Systems Bioinformatics, UKE

Language: English

Prerequisites: A laptop with Rstudio installed, Enthusiasm

Description: “Visualization gives you answers to questions you didn’t know you had.” – Ben Shneiderman
Exploratory data analysis is a critical step in any successful project. Turning raw data into insights requires a clear process: data wrangling to organize and clean the data, exploratory analysis to uncover patterns, and finally, visualization to effectively communicate your findings. This beginner-friendly workshop on Data Wrangling and Visualization in R is designed to guide participants through these essential steps with practical, hands-on examples. No prior programming experience is required. On the first day, we will introduce the R programming language and its fundamental features. The second and third days will focus on mastering data wrangling using the dplyr package and creating customizable, publication-ready plots with ggplot2, specifically tailored to bioinformatics applications. Additionally, the workshop will include an introduction to R Markdown, enabling participants to create reproducible reports that seamlessly combine code, plots, and analysis insights in a single document. By the end of the workshop, participants will have the skills to perform data wrangling with dplyr, create compelling visualizations with ggplot2, and produce reproducible reports using R Markdown, setting a strong foundation for their data analysis projects.

Topics:

  • Introduction to R and R studio
  • Basics of R programming
  • Importing data from different file types
  • Introduction to tidyverse
  • Data wrangling with dplyr
  • Combining datasets
  • Grammar of graphics ggplot2
  • Basic plot types, Customizing plots
  • R Markdown for creating reports

Due to popular demand registration for this workshop has now closed.