Winter Semester 2021/22 @kozaka93 @hbaniecki
Previous: Winter Semester 2020/21
# | Month-Day | Lecture | Lab | Project | Points |
---|---|---|---|---|---|
1 | 10-07 | Course introduction, data types, visualization tools | |||
10-04 | R: review: proton, GitHub | Introducing  P1 | |||
10-06 | |||||
10-08 | |||||
2 | 10-14 | The Grammar of Graphics | |||
10-11 | R: dplyr, tidyr, forcats | Group work | P1 (1p) | ||
10-13 | |||||
10-15 | |||||
3 | 10-19 | Colors and scales | |||
10-18 | R: ggplot2 - introduction | Data exploration | P1 (1p) HW1 (5p) |
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10-20 | |||||
10-22 | |||||
4 | 10-21 | Don't do this at home | |||
10-25 | R: ggplot2 - plot modification, theme, facets | First visualizations | P1 (1p) | ||
10-27 | |||||
10-29 | |||||
5 | 10-28 | Other plot types | |||
11-08 | R: ggplot2 - advanced, extensions: patchwork, ggstatsplot, map, ggrepel | Consultations | HW2 (5p) | ||
11-03 | |||||
11-05 | |||||
6 | 11-04 | The International Business Communication Standards | |||
11-15 | Python: pandas, numpy, pandas.plot | Advanced visualizations | P1 (1p) | ||
11-17 | |||||
11-19 | |||||
7 | 11-10 | History of Statistical Graphics | |||
11-22 | Python: matplotlib, seaborn | Prototype | P1 (1p) HW3 (10p) |
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11-24 | |||||
11-26 | |||||
8 | 11-18 | How to work in a graphics program? Hans Rosling: The best stats you've ever seen, Let my dataset change your mindset | |||
11-29 | R: plotly - interactive visualization | Consultations | HW4 (5p) | ||
12-01 | |||||
12-03 | |||||
9 | 11-25 | Dashboards | |||
12-06 | R: Shiny - introduction | Discussing P1 Introducing P2 |
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12-08 | |||||
12-10 | |||||
10 | 12-02 | Presentation of P1 (part 1) | P1 (20p) | ||
12-13 | R: Shiny - advanced | Group work | P2 (1p) HW5 (5p) |
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12-15 | |||||
12-17 | |||||
11 | 12-09 | Presentation of P1 (part 2) | |||
12-20 | R: Xmas trees - gganimate, RBokeh, ggiraph, vegalite, googleVis | Data analysis | P2 (2p) HW6 (10p) |
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12-22 | |||||
12-21 | |||||
12 | 12-16 | Scrollytelling: Pockets, Powerless , Here’s How America Uses Its Land | |||
01-03 | R: tidycharts, rpivotTable, visNetwork | Prototype | P2 (2p) HW7 (5p) |
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01-05 | |||||
01-10 | |||||
13 | 01-13 | Guest lecturer | |||
01-17 | R: DataExplorer, visdat etc. | Consultations | |||
01-12 | |||||
01-14 | |||||
14 | 01-20 | Presentation of P2 (part 1) | P2 (20p) | ||
01-24 | Python: pandas-profiler etc. | Discussing P2 | HW8 (5p) | ||
01-19 | |||||
01-21 | |||||
15 | 01-27 | Presentation of P2 (part 2) | |||
01-31 | --- | --- | |||
01-26 | |||||
01-28 |
You can obtain up to 100 points during the term, which will be assigned according to the following list:
- Projects (2 x 25 points)
- Homeworks (2 x 10 points, 6 x 5 points)
You need at least 51 points overall, in this at least 13 points from each of the 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, ∞) |