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Scientific Coordination

André Ernst

Administrative Coordination

Claudia O'Donovan-Bellante
Tel: +49 621 1246-221

Applied Data Visualization (Online-Workshop!)

Lecturer(s):
Dr. Paul Bauer

Date: 18.05 - 21.05.2021 ics-file

Location: Online via Zoom / Course language: English

About the lecturer - Dr. Paul Bauer

Course description

The workshop Applied Data Visualization introduces students to the theory and methods underlying data visualization. Data analysts face an ever-increasing amount of data (→ big data) and rather revolutionary technological developments allow researchers to visually engage with data in unprecedented ways. Hence, data visualization is one of the most exciting fields in data science right now. In this workshop students acquire the skills to visualize data in R both for exploratory purposes as well as for the purpose of explanation/presentation. We'll rely on R, the most-popular statistical programming environment when it comes to visualization and we'll make use of popular R packages such as ggplot2 and plotly. Besides creating static graphs we'll also have a look at interactive graphs and discuss how interactive visualization may revolutionize how we present data & findings.


Keywords



Target group

This workshop is for quantitative researchers


Learning objectives

  • Knowledge of the grammar of graphics
  • Ability to use various plots for exploratory and presentatory/explanatory purposes
  • Knowledge of the most popular R package to visualize graphs (ggplot2)
  • Understand potential of and collect first experience with interactive graphs


  • Prerequisites

  • Basic knowledge of R (better if they routinely work in R)
  • Regularly apply quantitative methods (e.g., linear regression etc.) in their work / research
  • Software Requirements - We would kindly ask you to have the following packages for R installed on your laptop before the workshop:
  •        - tidyverse
           - ggplot2
           - plotly
     
     


    Schedule

    Recommended readings

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