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Indice
Visual Analytics (602AA)
- Salvatore Rinzivillo (rinzivillo [at] isti [dot] cnr [dot] it)
Schedule
- Monday, 16:00 - 18:00, Aula N1 Polo Fibonacci
- Friday, 14:00 - 16:00, Aula V1 Polo Fibonacci
News
To keep updated with the last news of the course, subscribe at the Telegram channel: https://t.me/va602aa
- [new] The new edition is starting on Monday 18th February 2019 at 16:00 in Aula N1
Exams
Students will be admitted to the exam after the registration on the website http://esami.unipi.it. 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.
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 (plotly, 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)
- Interactivity should be implemented, providing toolbars, selections and filters for the data.
- The visual widget should interact among them, realising a set of linked display 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 description of 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 XXXX (TBA)
The project assignment for the exam consist in the realisation of a web application addressing data and mini challenges presented for the VAST challenge XXXX (http://www.vacommunity.org/VAST+Challenge+XXXX). The general contest of the challenge asks to analyse and explain the possible causes of pollutants spreading in a natural park, threatening the survival of a bird species in the park.
Didactic Data Mining
This is a project that requires to implement a module with visual interface to explore and manage the project Didactic Data Mining developed within the course of Data Mining. The module is implemented in Python and provides a RESTful interface to create an experiment, to insert a dataset and to follow the evolution of a data mining algorithm on the dataset.
Rules
- The students should select a data mining algorithm after a preliminary discussion with the project manager (Prof Monreale)
- The requirements of the project are discussed in this extended committe. The student is autonoums in developing and proposing the visual interface
- From a technical point of view, a few constrains are already set:
- The project should be developed within the GitHub platform, accessing the repository of the main Project (it will be created a branch dedicated to the student)
- The interfaces and data schema of the whole project are fixed and cannot be changed (any modification should be discussed)
- The module developed by the student should conform the code quality rules already set (linting, testing, etc.)
- The project uses the Vue.js framework for developing the application
Network Diffusion Library
This is a project that requires to extend the visual interface of the NDLib - Network Diffusion Library developed within the KDDLab. The core library is implemented in Python and provides a RESTful interface to create an experiment, to insert a network and to execute a diffusion simulation over the network.
Rules
- The students should select one task to extent the interface, after a preliminary discussion with the project managers (Rossetti, Milli, Rinzivillo)
- The requirements of the project are discussed in this extended committe. The student is autonoums in developing and proposing the visual interface
- From a technical point of view, a few constrains are already set:
- The project should be developed within the GitHub platform, accessing the repository of the main Project (it will be created a branch dedicated to the student)
- The interfaces and data schema of the whole project are fixed and cannot be changed (any modification should be discussed)
- The module developed by the student should conform the code quality rules already set (linting, testing, etc.)
- The project uses the Vue.js framework for developing the application
Next Exams
Textbooks
- 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
- Tools
- Reading Material
- Inspiration
- Processing libraries
Other resources
Class Calendar
All exercises and code discussed during each lesson are available as a Git repository at: https://github.com/va602aa-2019
Day | Aula | Topic | Learning material | |
---|---|---|---|---|
01 | 2019/02/18 16:00-18:00 | N1 | Intro: Visual Analytics Process; | Slides ; VisMaster Book (Chapter 2) |
02 | 2019/02/22 14:00-16:00 | V1 | Node.js, NPM, Vue.js, GIT | Slides |
03 | 2019/02/25 16:00-18:00 | N1 | Vision, Perception and effective visualization | Slides |
04 | 2019/03/01 14:00-16:00 | V1 | Introduction to HTML, CSS, Javascript | Slides |
05 | 2019/03/04 16:00-18:00 | N1 | Chart Taxonomy, DO and Don't examples | Slides |
06 | 2019/03/08 14:00-16:00 | V1 | Intro to SVG and D3.js | Slides; Slides |
GITHub repository
All source code of exercises are available at the URL: https://github.com/va602aa-2019