Winter Semester 2020/2021

• 05.10.2020 - L1: Review of tools for data visualization
• 12.10.2020 - L2: The Grammar of Graphics
• 19.10.2020 - L3: Colors and Scales
• 26.10.2020 - L4: The International Business Communication Standards
• 02.11.2020 - L5: Don't do this at home
• 09.11.2020 - L6: Other Plot types
• 16.11.2020 - L7: Presentation of project I
• 23.11.2020 - L8: History of Statistical Graphics
• 30.11.2020 - L9: Hans Rosling: The best stats you've ever seen, Let my dataset change your mindset
• 07.12.2020 - L10: Scrollytelling
• 14.12.2020 - L11: Presentation of project II
• 21.12.2020 - L12: Dashboards
• 11.01.2021 - L13: Edward Tufte
• 18.01.2021 - L14: Presentation of project III
• 25.01.2021 -

• 05.10.2020 - L1: R: dplyr, tidyr - introduction
• 12.10.2020 - L1: R: ggplot2 - introduction & grammar
• 19.10.2020 - L3: R: ggplot2 - plot modification, theme, facets
• 26.10.2020 - L4: R: ggplot2 - advanced, extensions: patchwork, ggstatsplot, ggmap
• 02.11.2020 - L5: Fix the plot: NSP
• 09.11.2020 - L6: Python: pandas - introduction
• 16.11.2020 - L7: Python: matplotlib
• 23.11.2020 - L8: Python: seaborn
• 30.11.2020 - L9: R: plotly & ggplot2 integration
• 07.12.2020 - L10: R: shiny - introduction, Shiny gallery
• 14.12.2020 - L11: R: Shiny dashboard on soccer-data
• 21.12.2020 - L12: Xmas trees
• 11.01.2021 - L13: R: shiny - mastering
• 18.01.2021 - L14:
• 25.02.2021 - L15:

You can obtain up to 100 points during the term, which will be assigned according to the following list:

• Projects (3 x 15 points)
• Homeworks (11 x 5 points)

You need at least 51 points and at least 8 points from 2 out of 3 projects in order to pass the course.

The grades will be given according to the table: