Workshop - Introduction to R (Part 2)
Details
We're back with Part 2 of our Introduction to R workshop series. While this workshop builds on the previous one, new participants are also welcome to join us! We will provide the materials from Part 1 for you to catch up.
We welcome all genders and identities to attend our events at R-Ladies Vienna.
ℹ️ Abstract
R is a powerful programming language and environment widely used across fields from statistics and economics to psychology, biology, and more. It provides a versatile analytical toolkit for anyone working with data.
The goal of this workshop series is for our attendees to become acquainted with R to start their data analytics journey. In this follow-up session, we will focus on:
- Data processing with the dplyr package
- Data visualization with the ggplot2 package
- Loops, functions, and conditional statements
📊 Bring your own data!
If you have a dataset you would like to analyze and visualize during the workshop, we encourage you to bring it along and apply the techniques to your data of interest.
💡 What to prepare
- Before the workshop, install R and RStudio on your laptop by following the 2-step guide at https://posit.co/download/rstudio-desktop/
- On the workshop day, bring your laptop to follow the workshop material closely and code along with us!
- (Optional) Bring a dataset you would like to work with
- (Optional) If you're new to the series, we will send you the link to the Part 1 materials upon registration. Take your time to review the topics we covered in Part 1.
(Basic data types and structures, reading data into R and exporting from R, basic data processing and visualization with base R)
⏱️ Duration
The workshop will last approximately 1.5 hours. Doors open at 17:45.
🗺️ Location
Seminar Room DA green 03A / Sem.R. DA grün 03 A
(DA03A15)
3rd floor, green area
TU Wien Freihaus
Wiedner Hauptstraße 8-10, 1040 Vienna (map)
📍 How to find us
In the green area of TU Wien Freihaus, take the lift to the 3rd floor. After exiting the lift, you will see the seminar room on your right.
Use this floor plan to help locate the room.
