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Visual Analytics (602AA)


  • Monday, 16:00 - 18:00, Aula L1 Polo Fibonacci
  • Friday, 16:00 - 18:00, Aula C1 Polo Fibonacci


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  • [new] :!: 2020-04-06: The lesson for today April 6th is canceled. Next lesson will be on Friday, April 17th, 2020
  • The class on March 6th is canceled. The next lesson on Monday, March 9th from 16 to 18 will be kept on the group on Microsoft Teams. Please check that you have access to the platform. For any problem, please refer to the following instructions:
  • The new edition is starting on Monday 17th February 2020 at 16:00 in Aula L1


Students will be admitted to the exam after the registration on the website The exam consist of a discussion of the project. It is mandatory to submit a short report (6-10 pages) within the deadline by mail to instructor, specifying the tag “[VA]” in the subject.

Planned dates:

  • 2020-06-15: project discussion (send your report+code by June 11th)
  • 2020-07-06: project discussion (send your report+code by July 2nd)
  • 2020-07-27: project discussion (send your report+code by July 23rd)

Project assignment

  • A project should have the following requirements:
    • The application should contain several visual widgets, each providing insights on a selection of dimensions of the original data
    • It is possible to use state-of-the-art charts (bar charts, line charts, etc.) and libraries (, nvd3, etc). It is a plus to implement a novel, original visualization to present the data in a creative, non-trivial way. (see examples on Vast Challenge 2008 developed in class). You can refer to visualization techniques already present in the literature, by adapting or implementing part of the solution.
    • Interactivity should be implemented, providing toolbars, selections, and filters for the data.
    • The visual widget should interact among them, realizing a set of linked displays to browse the data across multiple dimensions
    • The project should be submitted as a Git repository
    • The project report should be submitted 4 days before the discussion and should discuss at least the following points:
      • Description of data and presentation of the pattern or model to communicate
      • design choices: colors, interactions, shapes, transformations)
      • state-of-art: similar tools or interfaces for the same problem
      • Detailed description of the visualization with a description of the interaction
      • use case example for an analytical task

The student may choose one of the following project proposals. She/he can also propose an additional topic. In this case, a project proposal should be submitted for approval, containing a description of the data, a sketch of the possible visualization and the motivation for the project.

VAST Challenge 2019 :!: **new**

The project assignment for the exam consists of the realization of a web application addressing data and mini-challenges presented for the VAST challenge 2019 (

Geological data visualization

This project has the objective of creating a visual dashboard to explore and browse geographical and geological data. This is a joint project with the IGG institute of CNR. Data available for the project can not be shared publicly. If interested, send me an email to fix a meeting to discuss more in detail.

Next Exams


  • Processing: a programming handbook for visual designers and artists . Casey Reas, Ben Fry. MIT Press, 2007
  • Design for Information. Isabel Meirelles, Rockport Publisher,2013.
  • Interactive Data Visualization for the Web, Scott Murray, O'Reilly Atlas, 2013

Useful Resources

Other resources

Class Calendar

All exercises and code discussed during each lesson are available as a Git repository at:

A collection of Observable Notebooks are available at:

Recordings of lessons on Microsoft Teams are accessible here:
Follow the channel to be updated when new videos are published.

Day Aula Topic Learning material
01 2020/02/17 16:00-18:00 L1 Intro: Visual Analytics Process; Slides ; VisMaster Book (Chapter 2)
02 2020/02/21 16:00-18:00 C1 Node.js, NPM, Vue.js, GIT Slides
03 2020/02/24 16:00-18:00 L1 Vision, Perception and effective visualization Slides
04 2020/02/28 16:00-18:00 C1 Introduction to HTML, CSS, Javascript Slides
05 2020/03/02 16:00-18:00 L1 Perception Laws, Chart Taxonomy, DO and Don't examples Slides
2020/03/06 16:00-18:00 C1 No lesson
06 2020/03/09 16:00-18:00 MS Teams Color models and Color Schemes Slides
07 2020/03/13 16:00-18:00 MS Teams Intro to SVG Slides
08 2020/03/16 16:00-18:00 MS Teams Scales Slides
09 2020/03/20 16:00-18:00 MS Teams Intro to D3.js Slides; Observable Collection
10 2020/03/23 16:00-18:00 MS Teams Data loading and transformation Slides; Observable Collection
11 2020/03/27 16:00-18:00 MS Teams Reusable D3.js components Slides; Observable Notebook
12 2020/03/30 16:00-18:00 MS Teams Visualizing Hierarchical Data Slides
13 2020/04/03 16:00-18:00 MS Teams VAST project introduction and project assignment Slides; VASt 2019 webpage
2020/04/06 16:00-18:00 No Lesson
2020/04/10 16:00-18:00 No Lesson
2020/04/13 16:00-18:00 No Lesson
14 2020/04/17 16:00-18:00 MS Teams Recap of Web technologies. Starting a new project with the class GitHub Repository
15 2020/04/20 16:00-18:00 MS Teams Geographic data Observable Notebook; Slides
16 2020/04/24 16:00-18:00 MS Teams Continuing project with the class GitHub Repository
2020/04/27 16:00-18:00 No Lesson
17 2020/05/04 16:00-18:00 MS Teams Geographic data (continued) Observable Notebook; Slides
18 2020/05/08 16:00-18:00 MS Teams Class Project: Vast Challenge 2008 - MC2 GitHub Repository
19 2020/05/11 16:00-18:00 MS Teams Visual Storytelling Slides
20 2020/05/15 16:00-18:00 MS Teams Class Project: Vast Challenge 2008 - MC2 GitHub Repository
21 2020/05/18 16:00-18:00 MS Teams Class Project: Vast Challenge 2008 - MC2 GitHub Repository
21 2020/05/22 16:00-18:00 MS Teams Class Project: Vast Challenge 2008 - MC2 GitHub Repository
22 2020/05/25 16:00-18:00 MS Teams Questions and Answers Session

GITHub repository

All source code of exercises are available at the URL:

Previous Editions

magistraleinformaticaeconomia/va/start.txt · Ultima modifica: 25/05/2020 alle 14:07 (2 mesi fa) da Salvatore Rinzivillo