Gallery of Concept Visualization. VisuAlgo - visualising data structures and algorithms through animation. Multivis.net - Visualization and Visual Analysis of Multifaceted Scientific Data. Visualizing Sets and Set-typed Data visualization catalog. Software Tools, Demos, Videos, and Conference Slides Companion website for our survey on set visualization, published in Computer Graphics Forum ( pdf).
A graphical list of set-related tasks is available here. A printable and more comprehensive list of the resources is available in PDF as supplementary material of the survey. NEW: The slides of our EuroVis 2014 talk are available here (in Powerpoint format). New: a publication browser of the surveyed techniques is available here.
New: another publication browser of the surveyed techniques is available here (by Adil Yalçın). Note: we appreciate if you refer us to related material and techniques for set visualization that we missed, also we welcome your feedback or proposals to our work (contact Bilal Alsallakh or Luana Micallef) Venn and Euler Diagrams eulerAPE eulerGlyphs eulerForce 3-Circle Venn Diagram Applet Wilkinson’s venneuler() SentimentVis Browser. Text Visualization Browser. Treevis.net. The Finance Vis Browser. Spacetimecubevis.com. Performance Visualization. Dynamic Graph Visualization.
List of Physical Visualizations. This list currently has 254 entries.
Recent additions: While data sculptures date back from the 1990s, the very first sculptures were Venus figurines: A Venus figurine is any Upper Paleolithic statuette portraying a woman with exaggerated physical features. The oldest ones are about 35,000 years old. Right image: modern versions. Also see V.S. The earliest data visualizations were likely physical: built by arranging stones or pebbles, and later, clay tokens. Quipus were complex assemblies of knotted ropes that were used in South America as a data storage device and played an important role in the Inca administration.
An orrery is a mechanical model of the solar system. A seismoscope is a qualitative indicator of seismic activity — as opposed to seismographs which show quantitative data, typically through line graphs. The first terrain/city models date back from the 16th century and were created for military purposes. Mobile Infovis and Dataviz Pattern. MobileVis. Vis4me - Personal data visualisation. Visualizing Cities. Timelines Revisited: Gallery.
Simple techniques for bridging the graphics language gap. Idav.ucdavis. Vizipedia. Atlas. WTF Visualizations. Improving datavis for the public sector. "Spike" map Interactive United States population density map.
Average rating: 7.6 (31 votes) 2D histogram An extension of the concept of histogram to display the colour image content. Average rating: 4.3 (6 votes) 3D graphic An example of a 3D visualisation, used in this case to represent an object. Average rating: 2.2 (11 votes) 3D Infographic This is an online application that presents backdated meteorological data from Augsburg, Germany. Average rating: 6.4 (11 votes) 3D Map 3D-rendered map of London showing landmarks and accurate locations of tube lines. Average rating: 6.5 (13 votes) 3D scatterplot Extension of a scatterplot to third dimension to represent measurements on sepals and petals of Iris flowers.
Average rating: 3 (3 votes) Accesibility Map The map shows the average number of pickups for different times of the day and days of week. The Data Visualisation Catalogue. Data Visualization. News Graphics Collection. Junk Charts. Via Twitter, Bart S (@BartSchuijt) sent me to this TechCrunch article, which contains several uninspiring charts.
The most disturbing one is this: There is a classic Tufte class here: only five numbers and yet the chart is so confusing. And yes, they reversed the axis. Lower means higher "app abandonment" and higher means lower "app abandonment". The co-existence of the data labels, gridlines, and axis labels increases processing time without adding information. A simple column chart shows there is almost nothing going on: I suspect that if they were to break the data down by months and weeks, it would be clear that the fluctuations are meaningless. The graphical scaffolding, or what Tufte calls the non-data ink, should provide context to help readers understand the data.
Worse, the context needed to interpret "app abandonment" is sorely missing. You might argue with me. That definition is an emperor with no clothes. It seems possible that they are counting user-app pairs. Information aesthetics - Data Visualization & Information Design. Visualizing the city built of data. Urban Data visualizations of the city, making the city smarter with data. A visual exploration on mapping complex networks. TimeViz Browser.