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Data Visualization Techniques

Winter Semester 2022/23 @kozaka93 @krzyzinskim @HubertR21 @mikolajsp

Previous: Winter Semester 2021/22

Schedule

# Month-Day Lecture Lab Project Points
1 10-05 Course introduction, data types, visualization tools R: review: proton, GitHub Introducing  P1
2 10-12 - R: dplyr, tidyr, forcats Group work P1 (1p)
3 10-19 The Grammar of Graphics R: ggplot2 - introduction Data exploration P1 (1p)
HW1 (5p)
4 10-26 Colors and scales
Don't do this at home		 R: ggplot2 - plot modification, theme, facets First visualizations P1 (1p)
5 11-02 Maps - is it so complicated? R: ggplot2 - advanced, extensions: patchwork, ggrepel, map, ggpubr Advanced visualizations P1 (1p)
HW2 (5p)
6 11-16 Hans Rosling: Hans Rosling: The best stats you've ever seen, Let my dataset change your mindset
Alberto Cairo: How Charts Lie 		R: plotly - interactive visualization Prototype P1 (1p)
7 11-23 Dashboards R: Shiny - introduction Consultations HW3 (10p)
8 11-30 Presentation of P1 R: Shiny - exercises Discussing P1
Introducing P2		 HW4 (5p)
P1 (20p)
9 12-07 - R: Shiny - advanced Group work P2 (1p)
10 12-14 History of Statistical Graphics R: leaflet, ggalluvial, ggdist, ggbump, ggbeeswarm, ggridges, visNetwork Consultations HW5 (10p)
11 12-21 The International Business Communication Standards R: Xmas trees - gganimate, RBokeh, ggiraph, vegalite, googleVis Data analysis P2 (2p)
HW6 (5p)
12 01-04 Amazing Data Visualization Tools
Scrollytelling: Pockets, Powerless,Here’s How America Uses Its Land		 Python: pandas, numpy, pandas.plot Consultations HW7 (5p)
13 01-11 - Python: matplotlib, seaborn Prototype P2 (2p)
14 01-18 Guest lecturer Python: plotly Consultations HW8 (5p)
15 01-25 Presentation of P2 (part 1) Python: pandas-profiler etc. Presentation of P2 (part 2) P2 (20p)

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 (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, ∞)