Questa pagina raccoglie esempi, metodi e strumenti per l’information design e la data visualisation.
Vedi anche: History Modeling and Visualization Methods
Data Visualisation
- 10 visualisations that changed the world of information design (link)
- Reimagine the Game (di Valentina D’Efilippo) (intro – dashboard)
- Poppy Field (di Valentina D’Efilippo) (site)
Data Visualisation > People
- Valentina D’Efilippo (site)
- Giorgia Lupi (site)
- Gregor Aisch (site Driven by data)
Tools e ambienti di sviluppo
SandDance Microsoft – Visually explore, understand, and present your data (example)
Tools di presentazione
D3.JS – Is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS. D3’s emphasis on web standards gives you the full capabilities of modern browsers without tying yourself to a proprietary framework, combining powerful visualization components and a data-driven approach to DOM manipulation.
Observable – Explore, analyze and explain data
Bokeh makes – it simple to create common plots, but also can handle custom or specialized use-cases. Work in Python close to all the PyData tools you are already familiar with.
Tools di disegno diagrammi, network, flussi
Graphviz is open source graph visualization software. Graph visualization is a way of representing structural information as diagrams of abstract graphs and networks. (Esempi)
Gephi, desktop doftware for interactive Exploratory Data Analysis.
Gnuplot – Is a portable command-line driven graphing utility for Linux, Windows, macOS, OS/2, VMS, and other platforms. Gnuplot has been supported and under active development since 1986.
GNU Octave – Scientific Programming Language
Real time data visualization
Grafana OSS – Visualize your data, optimize your performance
Formati
Vega – A declarative format for creating, saving, and sharing visualization designs.
Organizzazioni, istituzioni
Esempi e applicazioni
VisualCAD – Mappa del Codice dell’Amministrazione Digitale
Ren Yuan – Visualization and sonification con numpy, pandas e matplotlib (vedi gallery)
Visualization and sonification 🎹 of the @github commit history of the @numpy_team, @pandas_dev, and @matplotlib repositories. pic.twitter.com/wbvN1YbimJ
— Ren Yuan (@_renyuan) December 31, 2024
(fonte)
Graph theory pic.twitter.com/A3bUIPZAQC
— Anthony Bonato (@Anthony_Bonato) February 14, 2025
Esercitazioni
Treni e puntualità – Partendo dall’articolo progettare una forma di presentazione dei dati più efficace (link – permalink)