ssafiejko / twd

📊 Data Visualization Techniques course for DS studies in Winter 2022/23

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, ∞)