/2023Z-DataVisualizationTechniques

📊 Data Visualization Techniques course for DS studies in Winter 2023/24

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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, ∞)