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Data visualisation (theory) - 20.03.2025

Researchers often face overwhelming raw data, making it crucial to utilize data visualization effectively. This skill transforms complex datasets into clear, insightful narratives, avoiding the pitfalls of misinterpretation through poor design. In this course, we’ll explore optimal chart types for different data, engage in interactive exercises, discuss best practices, and learn about the data-ink ratio and color selection, all illustrated with practical examples.

This course will be followed up by Tableau and Microsoft Power BI courses for beginners in April.

Data visualisation (theory) - 03.10.2024

Researchers often face overwhelming raw data, making it crucial to utilize data visualization effectively. This skill transforms complex datasets into clear, insightful narratives, avoiding the pitfalls of misinterpretation through poor design. In this course, we’ll explore optimal chart types for different data, engage in interactive exercises, discuss best practices, and learn about the data-ink ratio and color selection, all illustrated with practical examples.

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 - 9.11.2023

  • Time: 9.11.2023 10:00-12:00
  • Type: Zoom (link will be sent a few days before the webinar)
  • Language: English
  • Duration: 2h
  • Location: Online
  • Audience: students, researchers
  • Speaker: Diana Pilvar, MSc

In the course of their work, researchers encounter data in various forms. Yet, when data is presented in its raw, tabular form, it often appears as a complex puzzle. This can be especially overwhelming when dealing with large datasets. Fortunately, this is where the magic of data visualization comes into play. The main idea is to extract the key insights from the data and craft a narrative around it. However, it's important to note that hasty chart-making can lead to confusion. Poorly designed visuals not only risk misinterpretation but can also be misleading. That's why it's crucial to approach data visualization thoughtfully and precisely.

This webinar will discuss why data visualisation is important and what we should consider when designing it. This means what chart type to pick, how much information to include, what (and how) to highlight, and so on. The webinar will have a theoretical aspect, and we will assess examples from real life.

This lecture will be followed up by a separate workshop on the 14th of November called “RStudio Visualisation,” where you can put your knowledge into practice. 

 

Learning outcomes for the participants: 

  • Choose appropriate chart types
  • Avoid common mistakes in data visualisation
  • Maximise data-ink ratio

 

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).


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.