Data Visualization Techniques
Winter Semester 2020/21 @agosiewska @hbaniecki
Lectures
- 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: Pockets, Powerless, Here’s How America Uses Its Land
- 14.12.2020 - L11: Presentation of project II
- 21.12.2020 - L12: Dashboards
- 11.01.2021 - L13: rpivotTable, visNetwork, DiagrammeR
- 18.01.2021 - L14: Presentation of project III
- 25.01.2021 - Sources
Labs
- 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 app on TIMSS 2019
- 21.12.2020 - L12: Xmas trees - gganimate, RBokeh, ggiraph, vegalite, googleVis
- 11.01.2021 - L13: R: shiny - mastering
- 18.01.2021 - L14: Presentation of project III
- 25.02.2021 - L15: Consultations
Projects
| Project | Start | Deadline |
|---|---|---|
| Informative poster related to data visualization techiniques | 20.10 | 15.11 |
| Advanced visualization of the COVID data - poster | 17.11 | 13.12 |
| Interactive visualization - dashboard | 15.12 | 17.01 |
General rules and course assessment
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:
| Grade | 3 | 3.5 | 4 | 4.5 | 5 | |
|---|---|---|---|---|---|---|
| Score | (50, 60] | (60, 70] | (70, 80] | (80, 90] | (90, ∞) |