talk-data.com talk-data.com

Event

Workshop - Introduction to R

2025-10-29 – 2025-10-29 Meetup Visit website ↗

Activities tracked

1

After a summer break, we are kickstarting our events again with an introductory workshop on the R programming language. No previous knowledge of R is required, and 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 also provides a versatile analytical toolkit for business analysts and professionals working with data.

The goal of this workshop is for our attendees to become acquainted with R to start their data analytics journey. Within this 1.5-hour workshop, we will cover:

  • R as a calculator
  • Basic data types and structures
  • Reading data into R and exporting for external purposes
  • Basic data processing
  • Basic data visualization
  • Loops, functions, and conditional statements

💡 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 own laptop to follow the workshop material closely and code along with us!

⏱️ 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 (map) Wiedner Hauptstraße 8-10, 1040 Vienna

📍 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.

Sessions & talks

Showing 1–1 of 1 · Newest first

Search within this event →

Introduction to R

2025-10-29
workshop

1.5-hour introductory workshop on the R programming language. Topics covered include: R as a calculator; basic data types and structures; reading data into R and exporting for external purposes; basic data processing; basic data visualization; loops, functions, and conditional statements.