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magistraleinformaticaeconomia:va:start

Visual Analytics (602AA)

Schedule

  • Monday, 14:00 - 16:00, Aula N1 Polo Fibonacci
  • Friday, 14:00 - 16:00, Aula C1 Polo Fibonacci

News

To keep updated with the last news of the course, subscribe at the Telegram channel: https://t.me/va602aa

  • [new] Updated the list of project proposals for the final exam
  • The lesson planned on April 16, will be moved on April 17th 16-18, room L1
  • The lesson planned on April 13, will be anticipated on April 12th 11-13, room O
  • There will be class on March 16th
  • There will be class on March 9th. We will have an extra lesson on March 13th, from 11 to 13 in Aula L1
  • There will be class on March 5th and March 9. We will have an extra lesson on March 6th, from 11 to 13 in Aula N1
  • A new edition is starting on Monday 19th February

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 2017

The project assignment for the exam consist in the realisation of a web application addressing data and mini challenges presented for the VAST challenge 2017 (http://www.vacommunity.org/VAST+Challenge+2017). 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.

Rules
  • It is possible to choose among Mini Challenge 1 and Mini Challenge 2: The first mini challenge regards the analysis of logs of traffic flows of vehicles within the park; the second mini challenge ask to analyse the data of emissions of industries and company in the neighbourhood of the park
  • The project can be developed also in group (at most two students). For the groups, at least the two challenges should be addressed.
  • The data can be downloaded from the website above

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

  • 2018-09-10: Deadline to submit report and repository of the code is 2018-09-06
  • 2018-07-09: Deadline to submit report and repository of the code is 2018-07-05
  • 2018-06-18: Deadline to submit report and repository of the code is 2018-06-14

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

Other resources

Class Calendar

All exercizes and code discussed during each lesson are available as a Git repository at: https://github.com/rinziv/VA2017

Day Aula Topic Learning material
1. 19.02.2018 14:00-16:00 N1 Intro: Visual Analytics Process; Slides ; VisMaster Book (Chapter 2)
23.02.2018 14:00-16:00 No lesson today
2. 26.02.2018 14:00-16:00 N1 Intro: Visual Analytics Process; Slides
3. 02.03.2018 14:00-16:00 C1 Development Environment setup: Node.js, NPM, GIT Slides
4. 06.03.2018 11:00-13:00 N1 Visual Variables Slides
09.03.2018 14:00-16:00 No lesson today
5. 12.03.2018 14:00-16:00 N1 Introduction to HTML, CSS, Javascript Slides
6. 13.03.2018 11:00-13:00 L1 Introduction to SVG Slides
16.03.2018 14:00-16:00 No lesson today
7. 19.03.2018 14:00-16:00 N1 Introduction to D3.js Slides
GitHub - First project
GitHub First-D3
8. 23.03.2018 14:00-16:00 C1 Do and Donts. Examples and case studies Slides
9. 26.03.2018 14:00-16:00 N1 First examples with D3 GitHub Lines
Spring break No lessons - Assignment: implement lines project with other shapes
10. 12.04.2018 14:00-16:00 O Project assignement; Color Models Slides
11. 17.04.2018 16:00-18:00 L1 Project assignement; Scales Slides
12. 20.04.2018 14:00-16:00 C1 Scales and Reusable Chart Components Slides
GitHub Lines
Resusable Charts in D3
13. 23.04.2018 14:00-16:00 L1 Data Handling - Crossfilter Slides
14. 27.04.2018 14:00-16:00 C1 Data Handling - Express and DBMS see Lesson 13

GITHub repository

All source code of exercises are available at the URL: https://github.com/VA602AA-master

Previous Editions

magistraleinformaticaeconomia/va/start.txt · Ultima modifica: 10/07/2018 alle 12:45 (5 mesi fa) da Salvatore Rinzivillo