Data visualization - online

Presentations

• Visual perception (video1, video2)
• Types of visualizations (video1 [up to distribution design], video2[up to design principles], video3)
• Visualization for the web with d3.js (video1 [ntroduction + svg], video2 [D3.js])
• Matrix algebra primer, Eigendecomposition & SVD
• Principal components analysis (video)
• Multidimensional scaling (video)
• Networks (video1 [up to speed-up], video2)
• t-SNE, UMAP (video t-SNE, video UMAP)

Q&A

1. slides, video
2. slides, video
3. slides, video
4. slides, video
5. slides, video
6.  
7. slides, video
8. slides, video
9. slides, video
10. slides, video

Labs

• Charts and tables visualization (Tableau)
  • Video
  • Data
  • Homework
• D3.js (JavaScript, D3.js)
  • Lab1
    • Study material
    • Homework
  • Lab2
    • Homework
• PCA,MDS (R)
  • Study material
  • Homework
• Networks (R/iGraph, Gephi, GraphViz)
  • Video
  • Data
  • Homework

Grading

• q&a&labs points

• Assessment

  In order to be awarded an assessment, you have to:
  • Carry out at least three of the five home assignments.
  • Prepare and present your project.

• Grade

  The final grade consists of two components:
  1. 90 points - Final test (either written or oral depending on the epidemiological situation)
  2. 10 points - Questions. After the recording of a lecture is made available, you will obtain a link (by email) to a questionary where you can ask questions or comment on the topics in the lecture. Each question/comment will be awarded half a point and you can get at most 1 point per questionary. The responses to your questions/comments will then be made available in a video released the next week.