Data Visualization Techniques

Winter Semester 2021/22 @kozaka93 @hbaniecki

Previous: Winter Semester 2020/21

Schedule

#	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)
	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)
	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
	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)
	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)
	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)
	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

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, ∞)