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Data Visualization Techniques

Winter Semester 2023/24 @kozaka93 @maciejchrabaszcz @HubertR21 @woznicak

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

Schedule

# Month-Day Lecture Lab Project Points
1 10-03 Course introduction, data types, visualization tools R: review: proton, GitHub Introducing P1
2 10-10 The Grammar of Graphics R: dplyr, tidyr, forcats Group work (P1.1): idea, data sources P1 (1p)
3 10-17 Ways to investigate the distribution of one variable, two variables and more R: ggplot2 - introduction Consultations: problems with data, change the topic HW1 (6p)
4 10-24 Colors & scales R: ggplot2 - plot modification, theme, facets Group work (P1.2): Data exploration & First visualizations P1 (2p)
5 10-31 Maps - is it so complicated? R: maps Consultations: prototype of plots, discussion about visual view of poster HW2 (6p)
6 11-07 Don't do this at home R: ggplot2 - advanced, extensions: patchwork, ggrepel Group work (P1.3): Advanced visualizations & Prototype P1 (2p)
7 11-21 Presentation of P1 R: plotly - interactive visualization Presentation of P1 HW3 (6p)
8 11-28 Dashboard R: Shiny - introduction Introducing P2 P1 (20p)
9 12-05 R: Shiny - exercise Group work (P2.1): idea, data sources P2 (1p)
10 12-12 History of Statistical Graphics R: Shiny - advanced Consultations: problems with data, change the topic, prototype of plots HW4 (6p)
11 12-19 The International Business Communication Standards Python: pandas, numpy, pandas.plot Group work (P2.2): data exploration, prototype of plots P2 (2p)
12 01-02 Graph visualisation Python: matplotlib, seaborn Consultations: discuss about app design, final plots HW5 (6p)
13 01-09 Revision Python: graphs + plotly Group work( P2.3): Plots and prototype of app P2 (2p)
14 01-16 Test Python: matplotlib, seaborn - advanced Consultations: prototype of app HW6 (6p)
15 01-23 Presentation of P2 (part 1) Python: EDA Presentation of P2 (part 2) 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, ∞)

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  • R 100.0%