Winter Semester 2023/24 @kozaka93 @krzyzinskim @mikolajsp @woznicak
Previous: Winter Semester 2022/23
| # | Month-Day | Lecture | Lab | Project | Points |
| 1 | 10-05 | Course introduction, data types, visualization tools | R: review: proton, GitHub | Introducing P1 | |
| 2 | 10-12 | The Grammar of Graphics | R: dplyr, tidyr, forcats | Group work | P1 (1p) |
| 3 | 10-19 | Colors and scales | R: ggplot2 - introduction | Consultations | HW1 (6p) |
| 4 | 11-02 | Don't do this at home | R: ggplot2 - plot modification, theme, facets | Data exploration & First visualizations | P1 (2p) |
| 5 | 11-09 | Maps - is it so complicated? | R: ggplot2 - advanced, extensions: patchwork, ggrepel, ggpubr | Advanced visualizations & Prototype | P1 (2p) HW2 (6p) |
| 6 | 11-16 | Hans Rosling: The best stats you've ever seen, Let my dataset change your mindset Alberto Cairo: How Charts Lie |
R: maps | Consultations | |
| 7 | 11-23 | Presentation of P1 | R: plotly - interactive visualization | Presentation of P1 | HW3 (6p) P1 (20p) |
| 8 | 11-30 | Dashboard | R: Shiny - introduction | Introducing P2 Group work |
P2 (1p) |
| 9 | 12-07 | User Friendly - rules of design | R: Shiny - exercise | Consultations | HW4 (6p) |
| 10 | 12-14 | History of Statistical Graphics | R: Shiny - advanced | Data analysis | P2 (2p) |
| 11 | 12-21 | The International Business Communication Standards | Python: pandas, numpy, pandas.plot | Consultations | |
| 12 | 01-04 | Other Data Visualization Tools | Python: matplotlib, seaborn | Consultations | HW5 (6p) |
| 13 | 01-11 | TBA | Python: graphs + plotly | Prototype | P2 (2p) |
| 14 | 01-18 | Test | Python: matplotlib, seaborn - advanced | Consultations | HW6 (6p) T (10p) |
| 15 | 01-25 | Presentation of P2 (part 1) | Python: EDA | Presentation of P2 (part 2) | P2 (24p) |
You can obtain up to 100 points during the term, which will be assigned according to the following list:
- Projects (1 x 25 points, 1 x 29 points)
- Homeworks (6 x 6 points)
- Test (10 points)
You need at least 51 points overall, in this at least 50% of 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, ∞) |