Data Visualisation with RStudio - 09.10.2024
In this course, participants will learn to utilize the ggplot2 package, a widely-used tool in R for creating visually appealing and highly customizable graphs.
ggplot2
ELIXIR Estonia: R basics (4 days) - 3. 06; 4.06; 10.06; 11.06.2024, Tallinn, Invite only
The aim of the course is to give the participants the basics to be able to independently work in R.
Visualisatsioonide tegemine RStudio-ga - 19.04.2024, Tallinn - Kutsega
Me teeme andmete visualiseerimist kasutades ggplot2 paketti, mis on R-s laialdaselt kasutatav, ning loodud visuaalselt atraktiivsete ja kõrgelt kohandatavate graafikute loomiseks.
Autumn semester ELIXIR courses
ELIXIR Estonia is continuing with the data management-related lectures and workshops this semester. To get more information about these courses, read below and visit https://elixir.ut.ee/training.
Autumn semester ELIXIR courses
ELIXIR Estonia is continuing with the data management-related lectures and workshops this semester. To get more information about these courses, read below and visit https://elixir.ut.ee/training.
- 12.10.2023 - Andmehaldus 101 (Webinar, ONLINE, 3h, Eesti keeles)
- Rohkem infot: https://elixir.ut.ee/node/543
- 24.10.2023 - RStudio Basic (Workshop, F2F, 3h, English)
- More information: https://elixir.ut.ee/node/546
- 9.11.2023 - Data visualisation (Webinar, ONLINE, 2h, English)
- More information: https://elixir.ut.ee/node/549
- 14.11.2023 - Visualisation with RStudio (Workshop, F2F, 3h, English)
- More information: https://elixir.ut.ee/node/552
- 30.11.2023 - How to make your messy data usable? / OpenRefine (Workshop, F2F, 4h, English)
- More information: https://elixir.ut.ee/node/555
- 5.12.2023 - Version Control with Git - RStudio (Workshop, F2F, 5h, English) - registration open
- More information: https://elixir.ut.ee/node/558
- Register: https://forms.gle/QnPtaoWXJevLnhJi8
We ask you to register responsibly. If you can't attend the lecture, please let us know as soon as possible via email (elixir@ut.ee).
Visualisation with RStudio - 14.11.2023
- Time: 14.11.2023 9:00-12:00
- Type: Workshop
- Language: English
- Duration: 3h
- Location: Delta building, Narva mnt 18 room 2005, Tartu
- Audience: students, researchers
- Instructor: Priit Adler, PhD
“Visualisation with RStudio” will be a follow-up to “RStudio Basic” workshop and “Data visualisation” webinar. We will do data visualisation using ggplot2 package. ggplot2 is a widely-used data visualization package in R, designed to create visually appealing and highly customizable graphics.
Learning outcomes for the participants:
- Create insightful data visualisations and customize aesthetics using RStudio
- Uncover patterns, relationships, and anomalies within datasets
We ask you to register responsibly. If you can't attend the lecture, please let us know as soon as possible via email (elixir@ut.ee).
Course is full.
In order to not miss out on a course next time, subscribe to our newsletter at https://lists.ut.ee/wws/subscribe/elixir.news?previous_action=edit_list_request
Applications are accepted manually within a few days.
Data Visualisation I - Figures workshop - 2.05.2023
“Data Visualisation I - Figures workshop” will be a follow-up to “Data Visualisation I - Figures” lecture. During the face-to-face workshop held in English we will do data visualisation using ggplot2 and Tableau. We will compare the user experience and the aesthetics of the results of both visualisation options. We will also put to use our knowledge of good practices in data visualisation we learned in the lecture.
Information about the lecture
Date: 2.05.2023
Language: English
Time: 14:00-17:00
City: Tartu
Place: Delta, Narva mnt 18 ROOM 1005
Registration closed.
Bring your own laptop!
We do ask you to register for the lecture responsibly. If you can’t attend the course, please let us know as soon as possible via email at elixir@ut.ee.
In order to not miss out a course next time, subscribe to our newsletter at https://lists.ut.ee/wws/subscribe/elixir.news?previous_action=edit_list_request
Learning outcomes for the participants:
- Knows what chart type to pick for different kinds of data
- Knows what to pay attention to while designing a figure
- Knows how to compare user experience with ggplot2 and Tableau
- Knows how to make informative and visually appealing figures in ggplot2
- Knows how to make informative and visually appealing figures in Tableau