Data Visualization Techniques

Winter Semester 2023/24 @kozaka93 @krzyzinskim @mikolajsp @woznicak

Materials for courses conducted at the Faculty of Mathematics and Information Sciences, Warsaw University of Technology.

Previous: Winter Semester 2022/23

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	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	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	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
9	12-07	History of Statistical Graphics	R: Shiny - exercise	Group Work	HW4 (6p) P2 (1p)
10	12-14	The International Business Communication Standards	R: Shiny - advanced	Consultations
11	12-21	-	Python: pandas, numpy, pandas.plot	Data analysis	P2 (2p)
12	01-04	"Dear Data"	Python: matplotlib, seaborn	Consultations	HW5 (6p)
13	01-11	Revision	Python: plotly	Prototype	P2 (2p)
14	01-18	Test	Python: graphs + advanced matplotlib	Consultations	T (10p)
15	01-25	Presentation of P2 (part 1)	Python: advanced seaborn + EDA	Presentation of P2 (part 2)	HW6 (6p) P2 (24p)

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 (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, ∞)