Skip to content

charts

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.

Data Visualisation I - Figures - 18.04.2023

Due to high demand, on the 4th of April 2023, ELIXIR-Estonia will hold a repeat data management online course: Data Visualization I - Figures. The course will be held in English

All researchers will be handling some data at some point in their careers. However, the data, in its regular shape (tables), is quite hard to grasp for most people. Especially if there is a lot of it, this is where data visualization comes to help. The idea is to bring forth the essential aspects of the data - to tell a story. However, just putting data into a graph or figure might do more harm than good. Not only could it give wrong conclusions, but it also might be misleading. This is one of the main reasons why the exact way how you visualize the data is fundamental. 

This lecture is part of a series of lectures and workshops called “Data visualisation.” The first lecture 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. This lecture will be followed up by a workshop in May. 

 

Information about the lecture

Date: 18.04.2023

Language: English

Time: 10:00-12:00

Place: Zoom, the link will be sent a couple of days before the lecture

Registration is closed

 

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

 

Learning outcomes for the participants: 

  • Understands how to tell a story through data visualization
  • Knows what chart type to pick for different kinds of data
  • Knows what to pay attention to while designing a figure

Data Visualisation I - Figures - 4.04.2023

On the 4th of April 2023, ELIXIR-Estonia will hold a data management online course: Data Visualization I - Figures. The course will be held in English

All researchers will be handling some data at some point in their careers. However, the data, in its regular shape (tables), is quite hard to grasp for most people. Especially if there is a lot of it, this is where data visualization comes to help. The idea is to bring forth the essential aspects of the data - to tell a story. However, just putting data into a graph or figure might do more harm than good. Not only could it give wrong conclusions, but it also might be misleading. This is one of the main reasons why the exact way how you visualize the data is fundamental. 

This lecture is part of a series of lectures and workshops called “Data visualisation.” The first lecture 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. This lecture will be followed up by a workshop in May. 

 

Information about the lecture

Date: 4.04.2023

Language: English

Time: 10:00-12:00

Place: Zoom, the link will be sent a couple of days before the lecture

Register: registration is closed

 

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

 

Learning outcomes for the participants: 

  • Understands how to tell a story through data visualization
  • Knows what chart type to pick for different kinds of data
  • Knows what to pay attention to while designing a figure

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

Spring 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.  

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