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magistraleinformaticaeconomia:va:start [18/02/2019 alle 13:48 (5 anni fa)]
Salvatore Rinzivillo [Class Calendar]
magistraleinformaticaeconomia:va:start [26/03/2024 alle 13:11 (3 giorni fa)] (versione attuale)
Salvatore Rinzivillo [Class Calendar]
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   * **Salvatore Rinzivillo** ([[rinzivillo@isti.cnr.it]])   * **Salvatore Rinzivillo** ([[rinzivillo@isti.cnr.it]])
 +
 +==== Quick access links ====
 +
 +  * MS Teams Channel: https://teams.microsoft.com/l/team/19%3Ay-8ZfWySz6pqWt_T4qI5mVupboYBGBwTlbMwABIN1hE1%40thread.tacv2/conversations?groupId=6e8b2ea8-2379-4e79-b3fa-564e527ffda2&tenantId=c7456b31-a220-47f5-be52-473828670aa1
 +  * Telegram channel: https://t.me/+6PTkOzAWcWswMWI8
 +  * All source code of exercises are available at the URL: https://github.com/va602aa-master
  
 ===== Schedule ===== ===== Schedule =====
-  * Monday, 16:00 - 18:00, Aula N1 Polo Fibonacci +  * Monday, 16:00 - 18:00, Room C 
-  * Friday, 14:00 - 16:00, Aula V1 Polo Fibonacci+  * Tuesday, 14:00 - 16:00, Room L1
  
 ===== News ===== ===== News =====
-To keep updated with the last news of the course, subscribe at the Telegram channel: https://t.me/va602aa +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+   New link for the Telegram Channel: https://t.me/+6PTkOzAWcWswMWI8  
 +   * The new edition is starting on Monday 19th February 2024 at 16:00 in Room A
  
 ===== Exams ===== ===== Exams =====
 Students will be admitted to the exam after the registration on the website [[http://esami.unipi.it]].  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.+The exam consists of a discussion of the project. It is mandatory to submit a short report (6-10 pages) within the deadline by mail to the instructor, specifying the tag "[VA]" in the subject. 
 + 
 +Planned dates: 
 +  * Please log on to the portal for registration to get the next dates
  
  
 ==== Project assignment ==== ==== Project assignment ====
   * A project should have the following requirements:   * 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 +    * 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 (plotlynvd3, 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) +    * It is possible to use state-of-the-art charts (bar charts, line charts, etc.) and libraries (plot.lyvega, etc).  
-  * Interactivity should be implemented, providing toolbars, selections and filters for the data. +    * The final evaluation will take into account the implementation of a novel, original visualization to present the data in a creative, non-trivial way, using D3.js (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. 
-  * The visual widget should interact among them, realising a set of linked display to browse the data across multiple dimensions +    * Interactivity should be implemented, providing toolbars, selectionsand filters for the data. 
-  * The project should be submitted as a Git repository +    * The visual widget should interact among them, realizing a set of linked displays to browse the data across multiple dimensions 
-  * The project report should be submitted 4 days before the discussion and should discuss at least the following points: +    * The project should be submitted as a Git repository 
-    * Description of data and presentation of the pattern or model to communicate +    * The project report should be submitted 4 days before the discussion and should discuss at least the following points: 
-    * design choices: colors, interactions, shapes, transformations) +      * Description of data and presentation of the pattern or model to communicate 
-    * state-of-art: similar tools or interfaces for the same problem +      * design choices: colors, interactions, shapes, transformations) 
-    detailed description of the visualization with description of interaction +      * state-of-art: similar tools or interfaces for the same problem 
-    * use case example for an analytical task+      Detailed description of the visualization with 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.+The student may choose one of the following project proposals. She/he can also propose an additional topic. In this casea project proposal should be submitted for approval, containing a description of the data, a sketch of the possible visualizationand the motivation for the project
 + 
 +=== VAST Challenge 2023 :!: **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 2023 (https://vast-challenge.github.io/2023/description.html). Each student may choose one of the mini-challenges to build a visual interface that answers the proposed questions (see the list on the corresponding page on the VAST website)
  
-=== 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 ==== ==== Next Exams ====
   *    * 
  
 ===== Textbooks ===== ===== Textbooks =====
 +  * Visual Analytics for Data Scientists. Natalia Andrienko, Gennady Andrienko, Georg Fuchs, Aidan Slingsby, Cagatay Turkay, Stefan Wrobel. Springer, 2020. ISBN: 978-3-030-56146-8 
   * [[http://www.vismaster.eu/news/mastering-the-information-age/|VisMaster - Mastering the information age]]   * [[http://www.vismaster.eu/news/mastering-the-information-age/|VisMaster - Mastering the information age]]
-  * Processing: a programming handbook for visual designers and artists . Casey Reas, Ben Fry. MIT Press, 2007 
   * Design for Information. Isabel Meirelles, Rockport Publisher,2013.   * Design for Information. Isabel Meirelles, Rockport Publisher,2013.
   * Interactive Data Visualization for the Web, Scott Murray, O'Reilly Atlas, 2013   * Interactive Data Visualization for the Web, Scott Murray, O'Reilly Atlas, 2013
 +  * 
 ===== Useful Resources ===== ===== Useful Resources =====
   * Tools   * Tools
-    * [[http://www.openprocessing.org/classroom/4698| OpenProcessing Classroom]] 
-    * [[http://processing.org|Processing.org]] 
     * [[http://d3js.org|D3 Javascript Library]]     * [[http://d3js.org|D3 Javascript Library]]
-    * [[http://piktochart.com/|PiktoChart]] +    * [[https://vuejs.org/| Vue.js Framework]] 
-    * [[http://jsbin.com/|JS Bin]]+    * [[https://nodejs.org/| Node.js]]
   * Reading Material   * Reading Material
     * [[http://www.slideshare.net/AmandaMakulec/data-visualization-resource-guide-september-2014|Data Visualization Resources (on Slideshare)]]     * [[http://www.slideshare.net/AmandaMakulec/data-visualization-resource-guide-september-2014|Data Visualization Resources (on Slideshare)]]
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     * [[http://www.informationisbeautiful.net/]]     * [[http://www.informationisbeautiful.net/]]
     * [[http://visualoop.com/]]     * [[http://visualoop.com/]]
-    * [[http://www.openprocessing.org/]] 
-    * [[https://www.flickr.com/groups/processing/|Set of images of Processing artwork on Flickr]] 
-  * Processing libraries 
-    * [[http://www.sojamo.de/libraries/controlP5/|Extends sketches with toolbar]] 
-    * [[http://toxiclibs.org/|Utilities]] 
-    * [[http://unfoldingmaps.org/|Mapping library]] 
- 
-==== Other resources ==== 
-  * [[http://dati.toscana.it|Open Data Tuscany Region]] 
-  * [[http://riccomini.name/posts/game-time-baby/|Sport results]] 
-  * [[http://yahoolabs.tumblr.com/post/89783581601/one-hundred-million-creative-commons-flickr-images|Flickr Images dataset]] 
-  * [[http://www.yelp.com/dataset_challenge]] 
-  * [[http://socialcomputing.asu.edu/pages/datasets]] 
-  * [[http://networkrepository.com/]] 
-  * [[http://chriswhong.com/open-data/foil_nyc_taxi/]] 
-  * [[http://www.sociopatterns.org/datasets/]] 
-  * [[http://konect.uni-koblenz.de/]] 
-  * [[http://snap.stanford.edu/data/|Stanford Large Network Dataset Collection]] 
  
 +  
 ===== Class Calendar ===== ===== Class Calendar =====
  
-All exercizes and code discussed during each lesson are available as a Git repository at: +All exercises and code discussed during each lesson are available as a Git repository at: 
-https://github.com/va602aa-2019 +https://github.com/va602aa-master
- +
- +
-| ^ Day ^ Aula ^ Topic ^ Learning material ^ +
-^1.| 18.02.2019 16:00-18:00 | N1 | Intro: Visual Analytics Process; | {{ :magistraleinformaticaeconomia:va:2019:va_lesson1_introcourse.pdf |Slides}} ; VisMaster Book (Chapter 2) | +
- +
- +
-===== GITHub repository ===== +
-All source code of exercises are available at the URL: https://github.com/VA602AA-master +
  
 +A collection of Observable Notebooks are available at https://observablehq.com/collection/@rinziv/va602aa
  
 +Recordings of lessons on Microsoft Teams are accessible within the channel of the course.
  
 +| ^ Day ^ Topic ^ Learning material ^
 +^ 01| 2024/02/19 | Intro: Visual Analytics Process; |{{ :magistraleinformaticaeconomia:va:2024:va_lesson1_introcourse.pdf |Slides}} ; VisMaster Book (Chapter 2) |
 +^ 02| 2024/02/20 | Vision and Perception; |{{ :magistraleinformaticaeconomia:va:2023:va_lesson2_vision_perception.pdf | Slides}} |
 +^ 03| 2024/02/26 | Visual Variables; |{{ :magistraleinformaticaeconomia:va:2024:va_lesson3_visual_variables.pdf | Slides}} |
 +^ 04| 2024/02/27 | HTML, CSS, SVG | {{ :magistraleinformaticaeconomia:va:2024:va_lesson4_html_css_js.pdf |}}|
 +^ 05| 2024/03/04 | Colors and Color Schemes |{{ :magistraleinformaticaeconomia:va:2024:va_lesson5_colors.pdf | Slides}} |
 +^ 06| 2024/03/05 | NPM, GIT and Vue.js | {{ :magistraleinformaticaeconomia:va:2024:va_lesson2_nodejs_npm_git.pdf |Slides}} | |
 +^ 07| 2024/03/11 | Chart Taxonomy | {{ :magistraleinformaticaeconomia:va:2024:va_lesson6_charting_taxonomy.pdf | Slides}}|
 +^ 08| 2024/03/12 | Intro to D3.js |{{ :magistraleinformaticaeconomia:va:2024:va_lesson9_d3js_intro.pdf |Slides}}; {{https://observablehq.com/@rinziv/my-first-d3-js-visualization|Notebook}}   |
 +^ 9      | 2024-03-18 | Scales                  |{{ :magistraleinformaticaeconomia:va:2024:va_lesson7_scales.pdf |Slides}}   |
 +^ 10     | 2024-03-19 | Project assignment      |          |
 +^ 11     | 2024-03-25 | Hierachies              | {{ :magistraleinformaticaeconomia:va:2024:va_lesson12_hierarchies.pdf |Slides}}         |
 +^ 12     | 2024-03-26 | Reusable modules D3     | {{ :magistraleinformaticaeconomia:va:2024:va_lesson11_reusable_modules.pdf | Slides}} {{https://observablehq.com/d/285170fc02253579 |Notebook }}  |
 +|        | 2024-04-01 | No lesson               | -------- |
 +^ 13     | 2024-04-02 | Altair/Vega Lite        |          |
 +^ 14     | 2024-04-08 | Networks                |          |
 +|        | 2024-04-09 | No lesson               | -------- |
 +|        | 2024-04-15 | No lesson               | -------- |
 +|        | 2024-04-16 | No lesson               | -------- |
 +^ 15     | 2024-04-22 | Geographic data                  |
 +^ 16     | 2024-04-23 | VAST Project            |          |
 +^ 17     | 2024-04-29 | Geographic data                  |
 +^ 18     | 2024-04-30 | VAST Project            |          |
 +^ 19     | 2024-05-06 | Visual Story telling    | Slides   |
 +^ 20     | 2024-05-07 | VAST Project            |          |
 ===== Previous Editions ===== ===== Previous Editions =====
 +  * [[magistraleinformaticaeconomia:va:Course2023]]
 +  * [[magistraleinformaticaeconomia:va:Course2022]]
 +  * [[magistraleinformaticaeconomia:va:Course2021]]
 +  * [[magistraleinformaticaeconomia:va:Course2020]]
 +  * [[magistraleinformaticaeconomia:va:Course2019]]
   * [[magistraleinformaticaeconomia:va:Course2018]]   * [[magistraleinformaticaeconomia:va:Course2018]]
   * [[magistraleinformaticaeconomia:va:Course2017]]   * [[magistraleinformaticaeconomia:va:Course2017]]
magistraleinformaticaeconomia/va/start.1550497710.txt.gz · Ultima modifica: 18/02/2019 alle 13:48 (5 anni fa) da Salvatore Rinzivillo