InfoVis:Wiki - User contributions [en]

Interactive Online Surveys

2025-12-23T20:50:19Z

Iwolf: added Event Sequence Vis Browser /* Interactive Visual Surveys */

== Interactive Visual Surveys ==

*[https://amitjenaiitbm.github.io/uncertaintyVizBrowser/ The UncertaintyVis Browser]
*[https://trustmlvis.lnu.se TrustMLVis Browser]: A Visual Survey in Enhancing Trust in Machine Learning (ML) Models with Visualization
*[http://keshif.me/demo/VisTools Data-Visualization Tools & Books (Keshif)]: Very comprehensive interactive browser for 400+ visualization tools and 80+ visualization books
*[http://dynamicgraphs.fbeck.com Dynamic Graph Visualization]
*[http://spacetimecubevis.com Space-Time Cube Vis: A Review of Temporal Visualizations based on Space-Time Cube Operations]
*[http://survey.timeviz.net The TimeViz Browser: A Visual Survey of Visualization Techniques for Time-Oriented Data]
*[https://textvis.lnu.se Text Visualization Browser: A Visual Survey of Text Visualization Techniques]
*[http://treevis.net treevis.net - A Visual Bibliography of Tree Visualization]
*[http://idav.ucdavis.edu/~ki/STAR/ Performance Visualization]
*[http://multivis.net/ Visualization and Visual Analysis of Multifaceted Scientific Data]
*[http://datavizcatalogue.com The Data Visualisation Catalogue]
*[https://biovis.lnu.se BioVis Explorer: A Visual Guide to BioVis Techniques]
*[http://sparklines-literature.fbeck.com Sparklines Literature]
*[https://sentimentvis.lnu.se SentimentVis Browser: A Visual Survey of Sentiment Visualization Techniques]
*[http://financevis.net Financevis.net: A Visual Survey of Financial Data Visualizations]
*[http://dataphys.org/list/ List of Physical Visualizations and Related Artifacts]
*[http://www.datavis.ca/milestones/ Data Visualisation Milestones]
*[http://www.sci.utah.edu/~shusenl/highDimSurvey/website/ Visualizing High-Dimensional Data: Advances in the Past Decade]
*[http://groups-in-graphs.corinna-vehlow.com Visualizing Group Structures in Graphs]
*[http://matrixreordering.dbvis.de/#/ Matrix Reordering Survey]
*[http://cartogram.cs.arizona.edu/survis-cartogram/ The State of the Art in Cartograms]
*[https://www.data-to-viz.com From Data to Viz] leads you to the most appropriate graph for your data. It links to the code to build it and lists common caveats you should avoid.
*[https://vizsec.dbvis.de/ Visualization for Cyber Security]
*[https://regvis.net/ Regvis - A Visual Bibliography of Regulatory Visualization]
* [https://vdl.sci.utah.edu/mvnv/ Multivariate Network Visualization Techniques]
* [https://agrepository.github.io/ Accessible Graphics Repository]
* [https://hce-star.dbvis.de/ Human-Centered Evaluations of Human-Centered Machine Learning]
* [https://geonetworks.github.io/ Geospatial Network Visualization]
* [https://provenance-survey.caleydo.org/ Analysis of User Interactions and Visualization Provenance]
* [https://rethinkingvis.com/ ReThinking Visualization]
* [https://commercialtools.dbvis.de/ Commercial Visual Analytics Tools]
* [https://computergraphics.on.liu.se/image_synthesis_methods_for_visual_machine_learning/# Image Synthesis Methods for Visual Machine Learning]
* [https://ehr.wangqiru.com/ EHR STAR Browser]
* [https://iasurvey.dbvis.de/ Immersive Analytics with Abstract 3D Visualizations]
* [https://www.cs.nott.ac.uk/~psxef1/index.html SurVisLit]: Visualization Literacy Literature Collection
* [https://connectomics-vis-survey.github.io/ Connectomics Vis Survey]
* [https://lauragarrison87.github.io/star.web/ Visualization for Physiology]: A Multiscale Overview
* [https://sportsdataviz.github.io/ Sports Data Visualization]
* [https://communication-analysis.dbvis.de/ Communication Analysis Approaches]
* [https://urban-va-survey.github.io/ Urban Visual Analytics]
* [https://ml4vis.github.io/ ML4Vis]: Applying Machine Learning Advances to Data Visualization
* [https://ai4vis.github.io/ AI4VIS]: Artificial Intelligence Approaches for Data Visualization
* [https://vis-surveys.list.lu/scented-widgets Scented Widgets Browser]
* [http://plick.cs.niu.edu/projects/STAR_Companion_Website/index.html Dynamic Multivariate Network Visualization Techniques]
* [https://visualsurvey.net/pva The State of the Art in Progressive Visualization]
* [https://sites.cvast.tuwien.ac.at/visual-parameter-space-exploration-survey/ Visual Parameter Space Exploration in Time and Space]
* [https://va-embeddings-browser.ivis.itn.liu.se/ VA+Embeddings Browser]: A Visual Survey of the Use of Embedding Approaches in Visual Analytics
* [https://aware-diag-sapienza.github.io/VA4XDL/survis/ Visual Analytics for eXplainable Deep Learning]
* [https://visdunneright.github.io/gd-comp-eval/ Evaluating Graph Layout Algorithms]
* [https://iadesign.space/ Immersive Analytics Design Space]
* [https://vfilipov.pages.cvast.tuwien.ac.at/survis/ A Road Map of Network Visualization]
* [https://utwente-dmb.github.io/xai-papers/#/ Explainable AI Methods]
* [https://www.rego-project.eu/survey-cutaneous-teleop/ Cutaneous/Tactile Haptic Feedback in Robotic Teleoperation]
* [https://academic-research-projects.gitlab.io/Chatbot-Avatar-Browser/ Chatbot Avatar Browser]: A Visual Survey of Conversational Agent's Avatar Design
* [https://poloclub.github.io/supernova/ SuperNOVA]: Interactive Notebook Visualization Browser
* [https://oldvis.github.io/gallery/ The OldVis Project]: A Digital Library of Old Visualizations
* [https://davintlab.github.io/AttentionVis-Browser/ AttentionVis Browser]: Interactive Survey on Visual Exploration of User Attention in Computational Environments
* [https://dr-reliability.github.io/demo/ Exploring High-dimensional Backstage]: A Survey for Reliable Visual Analytics with Dimensionality Reduction
*[https://inputvisualization.github.io Input Visualization]: Collecting and Modifying Data with Visual Representations
* [http://eventvis.idvxlab.com Event Sequence Vis Browser]: A Survey of Visual Analytics Techniques of Event Sequence Data

== Non-Interactive Surveys ==
* [https://www.cvast.tuwien.ac.at/SetViz Sets and Set-typed Data Visualization]
* [https://docs.google.com/spreadsheets/d/1yJkf-Nt0kel8hojLZJQiJeWR5Qc-HHqvKvpRDVrfc9g/edit#gid=0 Visualization and Interactive Surfaces]
* [https://sites.google.com/view/visres Visualization Resources]
* [https://www.sci.utah.edu/~kpotter/Library/Catalogs/uncertaintyVis/ Uncertainty Visualization and Data References]

== Other Related Tools and Datasets ==
* [http://keyvis.org/ KeyVis]: Search for VIS paper keywords
* [http://vispubdata.org/ VisPubData]: IEEE Visualization (IEEE VIS) publications data from 1990-2022+
* [https://visimagenavigator.github.io/ VISImageNavigator]: Visual browser for 30,000+ images from the IEEE Visualization conference series (Vis, SciVis, InfoVis, and VAST)
* [https://vispubs.com/ Vispubs.com]: A visualization publications repository
* [https://visualsurvey.net/ VisualSurvey.net]: A webservice for collections of scientific articles
* [https://networkrepository.com/ Network Repository]: The first interactive data and network data repository with real-time visual analytics
* [https://hm00081.github.io/metaphorVis/ MetaphorVis]: Exploration of visual metaphors used in sentiment visualization

== Discontinued Surveys ==
* <del>[http://www.aviz.fr/~bbach/timelines/ Timeline Visualization Survey]</del>
* <del>[http://www.cos.ufrj.br/~schots/survis_reuse/ Visualization of Software Reuse]</del>
* <del>[http://ieg.ifs.tuwien.ac.at/~federico/LiPatVis/ PaperViz.org - A Survey on Visual Approaches for Analyzing Scientific Literature and Patents]</del>
* <del>[http://visgroup.thss.tsinghua.edu.cn/textvis Bridging Text Visualization and Mining]</del>
* <del>[https://sites.google.com/site/drminchen/cgf-info/cgf-stars Min Chen's List of Survey Articles]</del>
* <del>[http://104.196.253.120/pva_browser Predictive Visual Analytics Browser]</del>
* <del>[http://www.vizipedia.com/ vizipedia - data visualization library]</del>
* <del>[http://sos.swansea.ac.uk/ Survey of Surveys (SoS) Literature Collection]</del>
* <del>[http://collectionvis.org/ Visualization of Cultural Heritage Collection Data]</del>
* <del>[http://visbooks.swansea.ac.uk/ Survey of Information Visualization Books]</del>

[[Category:Web resources]][[Category:Surveys]]

Data Libraries

2025-11-26T13:34:05Z

Iwolf: added networkrepository.com /* Network Data */

== Search Engines ==
*[http://www.wolframalpha.com Wolfram|Alpha]
*[http://lib.berkeley.edu/wikis/datalab/Main/GoogleSearch Social Science Data Search] Google Custom Search Engine @ Berkeley Library (targets 800+ academic, government agency, non-profit, and other web sites that provide high quality, downloadable statistical information and data sets. Emphasis is on data pertaining to the social sciences, health, developing countries, energy, natural resources, and the environment)
*[https://developers.google.com/search/docs/data-types/dataset Google Dataset Search]

== Misc ==

*[http://hcil.cs.umd.edu/localphp/hcil/vast/archive/ Visual Analytics Benchmark Repository]
*[http://www.ics.uci.edu/~mlearn/MLRepository.html UCI Machine Learning Repository]
*[http://kdd.ics.uci.edu/ UCI KDD Archive] UCI Knowledge Discovery in Databases Archive
*[http://www.cs.washington.edu/research/xmldatasets/ UW XML Repository] University of Washington XML Data Repository
*[http://lib.stat.cmu.edu/modules.php?op=modload&name=Downloads&file=index&req=viewsdownload&sid=31 StatLib] Data, Software and News from the Statistics Community
*[http://lib.stat.cmu.edu/general/tsa/tsa.html Time Series Analysis and Its Applications] Book Example Data
*[http://www-personal.buseco.monash.edu.au/~hyndman/TSDL/ Time Series Data Library]
*[http://www.bized.co.uk/timeweb/ TimeWeb] Web-based time series databanks
*[http://lisp.vse.cz/pkdd99/Challenge/ PKDD 2000 Challenge] Challenges of European Conferences on Principles and Practice of Knowledge Discovery in Databases
*[http://www.physionet.org/ PhysioNet] the research resource for complex physiologic signals
*[http://math.nist.gov/MatrixMarket/ MatrixMarket] A visual repository of test data for use in comparative studies of algorithms for numerical linear algebra, featuring nearly 500 sparse matrices from a variety of applications, as well as matrix generation tools and services.
*[http://www.geog.port.ac.uk/lifeline/ LifeLine project] Visualising Migrations, Transitions and Trajectories
*[http://www.tenbyten.org/developers.html 10x10] Every hour, 10x10 gathers the 100 most important words and pictures in the world, based on what's happening in the news.
*[http://iv.slis.indiana.edu/db/index.html InfoVis Cyberinfrastructure Data Bases]
*[http://www.cs.cmu.edu/~enron/ Enron Email Dataset]
*[http://kumo.swcp.com/stocks/ Historical Stock Data] Historical Data for S&P 500 Stocks
*[http://www.ensembl.org/info/data/download.html Ensembl] Provides sequence databases of gene, transcript and protein predictions.
* [http://www.epa.gov/air/data/index.html EPA air quality] AirData Web site gives you access to air pollution data for the entire United States.
* [http://ivpr.cs.uml.edu/shootout/about.html Network intrusion dataset]
* [http://research.lumeta.com/ches/map/ Internet Backbone Data] Internet Mapping Project
*[http://www.cs.ucr.edu/~eamonn/TSDMA/main.php UCR Time Series Data Mining Archive] A resource for researchers interested in the clustering, classification, indexing, segmentation, change point detection and rule extraction of time series. (by Eamonn Keogh)
*[http://www.bundesbank.de/statistik/statistik_zeitreihen.php Deutsche Bundesbank Zeitreihen]
*[http://www.sasi.group.shef.ac.uk/worldmapper/data_sources.html Source data sources of the Worldmapper project] ([http://www.worldmapper.org Worldmapper project])
*[http://www.worldbank.org/data Worldbank] Development Data & Statistics
*[http://www.b-eye-network.com/newsletters/data_viz_contest/data_viz.html Business Intelligence Network 2006 Data Visualization Competition] (Excel spreadsheet)
*[http://www.cs.ucr.edu/%7Eeamonn/discords/ Timeseries by Eamonn Keogh et al.]
*[http://www.bls.gov/data/home.htm U.S. Department of Labor] Bureau of Labor Statistics
*[http://www.nationalatlas.gov/atlasftp.html National Atlas]
*[http://www.airquality.co.uk/archive/data_and_statistics_home.php UK Air Quality Archive] Air Quality data in the UK from the present back to 1960
*[http://www.merl.com/wmd/ Mitsubishi Electric Research Labs (MERL)] Motion sensor data from a network of over 200 sensors for a year ([[WMD 2007]]).
*[http://www.erso.eu/data/content/introduction.htm European Road Safety Observatory] Road Safety Data
*[http://ec.europa.eu/transport/roadsafety/road_safety_observatory/care_en.htm CARE] Community database on road accidents resulting in death or injury (EU)
*[http://www.oecd.org/document/53/0,2340,en_2649_34351_2002165_1_1_1_1,00.html IRTAD] international database that gathers data on traffic and road accidents from 28 out of the 30 OECD Member countries
*[http://cdiac.esd.ornl.gov/trends/trends.htm Trends Online] A Compendium of Data on Global Change
*[http://finder.geocommons.com/ Finder!] Finder is a browser-based application for finding, organizing and sharing GeoData in common formats.
*[http://www.icwsm.org/2009/data/ ICWSM 2009 Data Challenge] data set containing 44 million blog posts; suitable for link analysis, social network extraction, analysis of influence among bloggers, ...
*[http://www.ckan.net/ CKAN] Comprehensive Knowledge Archive Network
*[http://numbrary.com/ Numbrary] Numbrary is a free online service dedicated to finding, using and sharing numbers on the web.
*[http://infochimps.org/ Infochimps] Free Redistributable Rich Data Sets
*[http://http://www.redliondata.com/ Red Lion Data] Large catalog of retailer location datasets in csv
*[http://dss.ucar.edu/catalogs/free.html CISL Research Data Archive] CISL Research Data Archive (RDA) - large and diverse collection of meteorological and oceanographic observations, operational and reanalysis model outputs, and remote sensing datasets
*[http://search.dss.ucar.edu/cgi-bin/rdabrowse?nb=true&c=list&cv=All+RDA+Datasets CISL Research Data Archive] CISL Research Data Archive (RDA) dataset selection according to variables, time resolution, etc.
*[http://www.pachube.com/ pachube] a service that enables you to connect, tag and share real time sensor data from objects, devices, buildings and environments around the world.
*[http://data.worldbank.org/ The World Bank Open Data]
*[http://www.google.com/publicdata/directory Google Public Data Explorer]
*[http://odysseas.calit2.uci.edu/doku.php/public:online_social_networks#available_datasets Facebook social graph, weighted random walks, and applications] Representative sample of Facebook users, weighted sample of college Facebook users and full sample of Facebook applications over a period of ~6 months.
*[http://www.statistikbanken.dk/statbank5a/SelectTable/Omrade0.asp?PLanguage=1 StatBank Denmark] StatBank Denmark contains detailed statistical information on the Danish society. The database is free of charge and data can be exported in several file formats and presented as diagrams or maps.
*[http://data.3tu.nl/repository/ 3TU.Datacentrum] offers the knowledge, experience and the tools to archive research data in a standardized, secure and well-documented manner.
*[http://www.cc.gatech.edu/gvu/ii/jigsaw/datafiles.html Jigsaw Datafiles]
*[http://stat-computing.org/dataexpo/ American Statistical Association (ASA) Bi-Annual Data Exposition]
*[http://lib.stat.cmu.edu/DASL/ Data and Story Library (DASL)] An online library of data files and stories that illustrate the use of basic statistics methods, from Carnegie Mellon
*[http://sunsite3.berkeley.edu/wikis/datalab/ Berkeley Data Lab]
*[http://www.stat.ucla.edu/data/ UCLA Statistics Data Sets]
*[http://www.freebase.com/ Freebase] A community effort that mostly provides data on people, places, and things.
*[http://aggdata.com Aggdata] repository of for-sale datasets, mostly focused on comprehensive lists of retail locations.
*[http://aws.amazon.com/publicdatasets Amazon Public Data Sets]
*[http://www.githubarchive.org/ GitHub Archive] GitHub's public timeline is a huge time-oriented data source (e.g. commits to hosted open source projects)
*[http://www.correlatesofwar.org/ Correlates of War] All wars in a CSV file.
*[http://www.ihapss.jhsph.edu/data/NMMAPS/documentation/frame.htm NMMAPS] health, climate, pollution time series
*[http://www.quandl.com/ Quandl] financial, economic and social datasets
*[http://openfoodfacts.org/ Open Food Facts] Open Food Facts is a free, open and collaborative database of food products from the entire world.
*[https://www.wikidata.org/ Wikidata] Wikidata is a free linked database that can be read and edited by both humans and machines.
*[https://aws.amazon.com/public-data-sets/ AWS Public Data Sets] AWS hosts a variety of public data sets that anyone can access for free.
*[http://www.makeovermonday.co.uk/data/ Makeover Monday] Datasets available from the Makeover Monday initiative
*[https://datahub.io Datahub] the free, powerful data management platform from Open Knowledge International, based on the CKAN data management system.

== Medicine ==
*[http://physionet.org/challenge/ PhysioNet/Computing in Cardiology Challenges]
*[https://wiki.openmrs.org/display/RES/Demo+Data OpenMRS Demo Data]

== Geography ==
(based on a list in [[Yau, N.: Visualize This: The FlowingData Guide to Design, Visualizations, and Statistics, Wiley, 2011 | Nathan Yau's book "Visualize This"]])
*[http://www.census.gov/geo/www/tiger/ TIGER] From the Census Bureau, probably the most extensive detailed data about roads, railroads, rivers, and ZIP codes you can find.
*[http://www.openstreetmap.org/ OpenStreetMap]
*[http://www.geocommons.com/ GeoCommons] Both data and a mapmaker

*[http://www.gadm.org/country Global Administrative Areas] administrative borders for many countries in the world in different formats
*[http://www.datamaps.eu/2013/07/17/oesterreichs-verwaltungsgrenzen-im-geojson-format/ Austrias borders in GeoJSON]

== World ==
(based on a list in [[Yau, N.: Visualize This: The FlowingData Guide to Design, Visualizations, and Statistics, Wiley, 2011 | Nathan Yau's book "Visualize This"]])
*[http://www.globalhealthfacts.org/ Global Health Facts] Health-related data about countries in the world.
*[http://data.un.org/ UNdata] Aggregator of world data from a variety of sources.
*[http://www.who.int/research/en/ World Health Organization] Again, a variety of health-related datasets such as mortality and life expectancy.
*[http://stats.oecd.org/ OECD Statistics] Major source for economic indicators.
*[http://data.worldbank.org World Bank] Data for hundreds of indicators and developer-friendly.

*[http://aiddata.org AidData] Open Data for International Development
*[https://github.com/factbook/factbook.json factbook.json] World Factbook Country Profiles in JSON - Free Open Public Domain Data

== Open Government Data / Government and Politics==
=== European Union ===
*[http://www.europeandataportal.eu/ European Data Portal]
=== Austria ===
*[http://gov.opendata.at Open Government Data Austria]
*[http://offener.datenkatalog.at/ Collection of Open Data in Austria]
* [http://datamarket.com/ DataMarket.com] is a data portal that provides access to statistics and structured data from various public and private sector organizations.
*[http://data.gv.at Offene Daten Österreich]
*[http://data.umweltbundesamt.at/ data.umweltbundesamt.at] Environment Agency Austria
*[http://www.datamaps.eu/2013/07/17/oesterreichs-verwaltungsgrenzen-im-geojson-format/ Austrias borders in GeoJSON]
*[http://www.aussda.at/ AUSSDA] Austrian Social Science Data Archive

=== UK ===
*[http://data.gov.uk/ Data.gov.uk] Catalog for data supplied by government organizations.

=== USA ===
*[http://www.census.gov/ Census Bureau] extensive demographics.
*[http://data.gov/ Data.gov] Catalog for data supplied by government organizations.
*[http://datasf.org/ DataSF] Data specific to San Francisco.
*[http://nyc.gov/data/ NYC] Data specific to New York.
*[http://www.followthemoney.org/ Follow the Money] Big set of tools and datasets to investigate money in state politics.
*[http://www.opensecrets.org/ OpenSecrets] provides details on government spending and lobbying.

== InfoVis Contest Datasets ==
* [http://www.cs.umd.edu/hcil/iv03contest/datasets.html InfoVis 2003 Contest] Tree data
* [http://www.cs.umd.edu/hcil/iv04contest/info.html InfoVis 2004 Contest] Meta Data of publications
* [http://ivpr.cs.uml.edu/infovis05/ InfoVis 2005 Contest] Technology Trends in the United States
* [http://sun.cs.lsus.edu/iv06/ InfoVis 2006 Contest] 1% public use microdata sample from the 2002 Census
* [http://eagereyes.org/InfoVisContest2007Data.html InfoVis 2007 Contest] Movie Database
* [http://www.merl.com/wmd/infovis.html InfoVis 2008 Contest] MERL motion sensor data

== BioVis Contest Datasets ==
* [http://www.biovis.net/year/2013/info/contest-data BioVis 2013 Contest] Protein Mutations and their effect on Protein Function

== Network Data ==
* [https://snap.stanford.edu/data/ SNAP] Stanford Large Network Dataset Collection by Jure Leskovec
* [https://networkrepository.com/ The Network Data Repository] An Interactive Scientific Network Data Repository by Ryan Rossi and Nesreen Ahmed

== Other Lists ==
*[http://graphics.stanford.edu/~klingner/online_databases.html Jeff Klingner's List of Online Databases]
*[http://www.visualisingdata.com/index.php/2013/07/a-big-collection-of-sites-and-services-for-accessing-data/ Essential Resources: A big collection of sites and services for accessing data] (by Andy Kirk)

== Tools for Creating Synthetic Datasets ==
*[http://www.gris.tu-darmstadt.de/research/vissearch/projects/pcdc-synthetic-data-generation/index.html PCDC - On the Highway to Data] A Tool for the Fast Generation of Large Synthetic Data Sets (by TU Darmstadt)

== Map Data ==
*[http://www.gadm.org/ Global Administrative Areas] GADM is a spatial database of the location of the world's administrative areas (or adminstrative boundaries) for use in GIS and similar software.
*[http://vdstech.com/map-data.aspx VDS Technologies GIS & Mapping Components]

== Armed Conflicts Data ==
* Armed Conflict Location and Event Data (ACLED): C. Raleigh, A. Linke, H. Hegre, and J. Karlsen. “Introducing ACLED: An Armed Conflict Location and Event Dataset: Special Data Feature.” In: Journal of Peace Research 47.5 (2010), pp. 651–660.
* Uppsala Conflict Data Project – Georeferenced Event Dataset (GED): R. Sundberg and E. Melander. “Introducing the UCDP Georeferenced Event Dataset.” In: Journal of Peace Research 50.4 (2013), pp. 523–532.
* [http://www.start.umd.edu/gtd Global Terrorism Database (GTD)]
* Social Conflict Analysis Database (SCAD): I. Salehyan, C. S. Hendrix, J. Hamner, C. Case, C. Linebarger, E. Stull, and J. Williams. “Social Conflict in Africa: A New Database.” In: International Interactions 38.4 (2012), pp. 503–511.
* [https://www.meltt.net/ VEHICLE] Web application to analyze the results of hierarchically integrated conflict event data (Benedikt Mayer, 2024)

[[Category:Web resources]]

Interactive Online Surveys

2025-07-29T11:58:48Z

Iwolf: added Input Visualization /* Interactive Visual Surveys */

== Interactive Visual Surveys ==

*[https://amitjenaiitbm.github.io/uncertaintyVizBrowser/ The UncertaintyVis Browser]
*[https://trustmlvis.lnu.se TrustMLVis Browser]: A Visual Survey in Enhancing Trust in Machine Learning (ML) Models with Visualization
*[http://keshif.me/demo/VisTools Data-Visualization Tools & Books (Keshif)]: Very comprehensive interactive browser for 400+ visualization tools and 80+ visualization books
*[http://dynamicgraphs.fbeck.com Dynamic Graph Visualization]
*[http://spacetimecubevis.com Space-Time Cube Vis: A Review of Temporal Visualizations based on Space-Time Cube Operations]
*[http://survey.timeviz.net The TimeViz Browser: A Visual Survey of Visualization Techniques for Time-Oriented Data]
*[https://textvis.lnu.se Text Visualization Browser: A Visual Survey of Text Visualization Techniques]
*[http://treevis.net treevis.net - A Visual Bibliography of Tree Visualization]
*[http://idav.ucdavis.edu/~ki/STAR/ Performance Visualization]
*[http://multivis.net/ Visualization and Visual Analysis of Multifaceted Scientific Data]
*[http://datavizcatalogue.com The Data Visualisation Catalogue]
*[https://biovis.lnu.se BioVis Explorer: A Visual Guide to BioVis Techniques]
*[http://sparklines-literature.fbeck.com Sparklines Literature]
*[https://sentimentvis.lnu.se SentimentVis Browser: A Visual Survey of Sentiment Visualization Techniques]
*[http://financevis.net Financevis.net: A Visual Survey of Financial Data Visualizations]
*[http://dataphys.org/list/ List of Physical Visualizations and Related Artifacts]
*[http://www.datavis.ca/milestones/ Data Visualisation Milestones]
*[http://www.sci.utah.edu/~shusenl/highDimSurvey/website/ Visualizing High-Dimensional Data: Advances in the Past Decade]
*[http://groups-in-graphs.corinna-vehlow.com Visualizing Group Structures in Graphs]
*[http://matrixreordering.dbvis.de/#/ Matrix Reordering Survey]
*[http://cartogram.cs.arizona.edu/survis-cartogram/ The State of the Art in Cartograms]
*[https://www.data-to-viz.com From Data to Viz] leads you to the most appropriate graph for your data. It links to the code to build it and lists common caveats you should avoid.
*[https://vizsec.dbvis.de/ Visualization for Cyber Security]
*[https://regvis.net/ Regvis - A Visual Bibliography of Regulatory Visualization]
* [https://vdl.sci.utah.edu/mvnv/ Multivariate Network Visualization Techniques]
* [https://agrepository.github.io/ Accessible Graphics Repository]
* [https://hce-star.dbvis.de/ Human-Centered Evaluations of Human-Centered Machine Learning]
* [https://geonetworks.github.io/ Geospatial Network Visualization]
* [https://provenance-survey.caleydo.org/ Analysis of User Interactions and Visualization Provenance]
* [https://rethinkingvis.com/ ReThinking Visualization]
* [https://commercialtools.dbvis.de/ Commercial Visual Analytics Tools]
* [https://computergraphics.on.liu.se/image_synthesis_methods_for_visual_machine_learning/# Image Synthesis Methods for Visual Machine Learning]
* [https://ehr.wangqiru.com/ EHR STAR Browser]
* [https://iasurvey.dbvis.de/ Immersive Analytics with Abstract 3D Visualizations]
* [https://www.cs.nott.ac.uk/~psxef1/index.html SurVisLit]: Visualization Literacy Literature Collection
* [https://connectomics-vis-survey.github.io/ Connectomics Vis Survey]
* [https://lauragarrison87.github.io/star.web/ Visualization for Physiology]: A Multiscale Overview
* [https://sportsdataviz.github.io/ Sports Data Visualization]
* [https://communication-analysis.dbvis.de/ Communication Analysis Approaches]
* [https://urban-va-survey.github.io/ Urban Visual Analytics]
* [https://ml4vis.github.io/ ML4Vis]: Applying Machine Learning Advances to Data Visualization
* [https://ai4vis.github.io/ AI4VIS]: Artificial Intelligence Approaches for Data Visualization
* [https://vis-surveys.list.lu/scented-widgets Scented Widgets Browser]
* [http://plick.cs.niu.edu/projects/STAR_Companion_Website/index.html Dynamic Multivariate Network Visualization Techniques]
* [https://visualsurvey.net/pva The State of the Art in Progressive Visualization]
* [https://sites.cvast.tuwien.ac.at/visual-parameter-space-exploration-survey/ Visual Parameter Space Exploration in Time and Space]
* [https://va-embeddings-browser.ivis.itn.liu.se/ VA+Embeddings Browser]: A Visual Survey of the Use of Embedding Approaches in Visual Analytics
* [https://aware-diag-sapienza.github.io/VA4XDL/survis/ Visual Analytics for eXplainable Deep Learning]
* [https://visdunneright.github.io/gd-comp-eval/ Evaluating Graph Layout Algorithms]
* [https://iadesign.space/ Immersive Analytics Design Space]
* [https://vfilipov.pages.cvast.tuwien.ac.at/survis/ A Road Map of Network Visualization]
* [https://utwente-dmb.github.io/xai-papers/#/ Explainable AI Methods]
* [https://www.rego-project.eu/survey-cutaneous-teleop/ Cutaneous/Tactile Haptic Feedback in Robotic Teleoperation]
* [https://academic-research-projects.gitlab.io/Chatbot-Avatar-Browser/ Chatbot Avatar Browser]: A Visual Survey of Conversational Agent's Avatar Design
* [https://poloclub.github.io/supernova/ SuperNOVA]: Interactive Notebook Visualization Browser
* [https://oldvis.github.io/gallery/ The OldVis Project]: A Digital Library of Old Visualizations
* [https://davintlab.github.io/AttentionVis-Browser/ AttentionVis Browser]: Interactive Survey on Visual Exploration of User Attention in Computational Environments
* [https://dr-reliability.github.io/demo/ Exploring High-dimensional Backstage]: A Survey for Reliable Visual Analytics with Dimensionality Reduction
*[https://inputvisualization.github.io Input Visualization]: Collecting and Modifying Data with Visual Representations

== Non-Interactive Surveys ==
* [https://www.cvast.tuwien.ac.at/SetViz Sets and Set-typed Data Visualization]
* [https://docs.google.com/spreadsheets/d/1yJkf-Nt0kel8hojLZJQiJeWR5Qc-HHqvKvpRDVrfc9g/edit#gid=0 Visualization and Interactive Surfaces]
* [https://sites.google.com/view/visres Visualization Resources]
* [https://www.sci.utah.edu/~kpotter/Library/Catalogs/uncertaintyVis/ Uncertainty Visualization and Data References]

== Other Related Tools and Datasets ==
* [http://keyvis.org/ KeyVis]: Search for VIS paper keywords
* [http://vispubdata.org/ VisPubData]: IEEE Visualization (IEEE VIS) publications data from 1990-2022+
* [https://visimagenavigator.github.io/ VISImageNavigator]: Visual browser for 30,000+ images from the IEEE Visualization conference series (Vis, SciVis, InfoVis, and VAST)
* [https://vispubs.com/ Vispubs.com]: A visualization publications repository
* [https://visualsurvey.net/ VisualSurvey.net]: A webservice for collections of scientific articles
* [https://networkrepository.com/ Network Repository]: The first interactive data and network data repository with real-time visual analytics
* [https://hm00081.github.io/metaphorVis/ MetaphorVis]: Exploration of visual metaphors used in sentiment visualization

== Discontinued Surveys ==
* <del>[http://www.aviz.fr/~bbach/timelines/ Timeline Visualization Survey]</del>
* <del>[http://www.cos.ufrj.br/~schots/survis_reuse/ Visualization of Software Reuse]</del>
* <del>[http://ieg.ifs.tuwien.ac.at/~federico/LiPatVis/ PaperViz.org - A Survey on Visual Approaches for Analyzing Scientific Literature and Patents]</del>
* <del>[http://visgroup.thss.tsinghua.edu.cn/textvis Bridging Text Visualization and Mining]</del>
* <del>[https://sites.google.com/site/drminchen/cgf-info/cgf-stars Min Chen's List of Survey Articles]</del>
* <del>[http://104.196.253.120/pva_browser Predictive Visual Analytics Browser]</del>
* <del>[http://www.vizipedia.com/ vizipedia - data visualization library]</del>
* <del>[http://sos.swansea.ac.uk/ Survey of Surveys (SoS) Literature Collection]</del>
* <del>[http://collectionvis.org/ Visualization of Cultural Heritage Collection Data]</del>
* <del>[http://visbooks.swansea.ac.uk/ Survey of Information Visualization Books]</del>

[[Category:Web resources]][[Category:Surveys]]

Interactive Online Surveys

2025-01-07T11:14:25Z

Iwolf: /* Interactive Visual Surveys */ ］

== Interactive Visual Surveys ==

*[https://amitjenaiitbm.github.io/uncertaintyVizBrowser/ The UncertaintyVis Browser]
*[https://trustmlvis.lnu.se TrustMLVis Browser]: A Visual Survey in Enhancing Trust in Machine Learning (ML) Models with Visualization
*[http://keshif.me/demo/VisTools Data-Visualization Tools & Books (Keshif)]: Very comprehensive interactive browser for 400+ visualization tools and 80+ visualization books
*[http://dynamicgraphs.fbeck.com Dynamic Graph Visualization]
*[http://spacetimecubevis.com Space-Time Cube Vis: A Review of Temporal Visualizations based on Space-Time Cube Operations]
*[http://survey.timeviz.net The TimeViz Browser: A Visual Survey of Visualization Techniques for Time-Oriented Data]
*[https://textvis.lnu.se Text Visualization Browser: A Visual Survey of Text Visualization Techniques]
*[http://treevis.net treevis.net - A Visual Bibliography of Tree Visualization]
*[http://idav.ucdavis.edu/~ki/STAR/ Performance Visualization]
*[http://multivis.net/ Visualization and Visual Analysis of Multifaceted Scientific Data]
*[http://datavizcatalogue.com The Data Visualisation Catalogue]
*[https://biovis.lnu.se BioVis Explorer: A Visual Guide to BioVis Techniques]
*[http://sparklines-literature.fbeck.com Sparklines Literature]
*[https://sentimentvis.lnu.se SentimentVis Browser: A Visual Survey of Sentiment Visualization Techniques]
*[http://financevis.net Financevis.net: A Visual Survey of Financial Data Visualizations]
*[http://dataphys.org/list/ List of Physical Visualizations and Related Artifacts]
*[http://www.datavis.ca/milestones/ Data Visualisation Milestones]
*[http://www.sci.utah.edu/~shusenl/highDimSurvey/website/ Visualizing High-Dimensional Data: Advances in the Past Decade]
*[http://groups-in-graphs.corinna-vehlow.com Visualizing Group Structures in Graphs]
*[http://matrixreordering.dbvis.de/#/ Matrix Reordering Survey]
*[http://cartogram.cs.arizona.edu/survis-cartogram/ The State of the Art in Cartograms]
*[https://www.data-to-viz.com From Data to Viz] leads you to the most appropriate graph for your data. It links to the code to build it and lists common caveats you should avoid.
*[https://vizsec.dbvis.de/ Visualization for Cyber Security]
*[https://regvis.net/ Regvis - A Visual Bibliography of Regulatory Visualization]
* [https://vdl.sci.utah.edu/mvnv/ Multivariate Network Visualization Techniques]
* [https://agrepository.github.io/ Accessible Graphics Repository]
* [https://hce-star.dbvis.de/ Human-Centered Evaluations of Human-Centered Machine Learning]
* [https://geonetworks.github.io/ Geospatial Network Visualization]
* [https://provenance-survey.caleydo.org/ Analysis of User Interactions and Visualization Provenance]
* [https://rethinkingvis.com/ ReThinking Visualization]
* [https://commercialtools.dbvis.de/ Commercial Visual Analytics Tools]
* [https://computergraphics.on.liu.se/image_synthesis_methods_for_visual_machine_learning/# Image Synthesis Methods for Visual Machine Learning]
* [https://ehr.wangqiru.com/ EHR STAR Browser]
* [https://iasurvey.dbvis.de/ Immersive Analytics with Abstract 3D Visualizations]
* [https://www.cs.nott.ac.uk/~psxef1/index.html SurVisLit]: Visualization Literacy Literature Collection
* [https://connectomics-vis-survey.github.io/ Connectomics Vis Survey]
* [https://lauragarrison87.github.io/star.web/ Visualization for Physiology]: A Multiscale Overview
* [https://sportsdataviz.github.io/ Sports Data Visualization]
* [https://communication-analysis.dbvis.de/ Communication Analysis Approaches]
* [https://urban-va-survey.github.io/ Urban Visual Analytics]
* [https://ml4vis.github.io/ ML4Vis]: Applying Machine Learning Advances to Data Visualization
* [https://ai4vis.github.io/ AI4VIS]: Artificial Intelligence Approaches for Data Visualization
* [https://vis-surveys.list.lu/scented-widgets Scented Widgets Browser]
* [http://plick.cs.niu.edu/projects/STAR_Companion_Website/index.html Dynamic Multivariate Network Visualization Techniques]
* [https://visualsurvey.net/pva The State of the Art in Progressive Visualization]
* [https://sites.cvast.tuwien.ac.at/visual-parameter-space-exploration-survey/ Visual Parameter Space Exploration in Time and Space]
* [https://va-embeddings-browser.ivis.itn.liu.se/ VA+Embeddings Browser]: A Visual Survey of the Use of Embedding Approaches in Visual Analytics
* [https://aware-diag-sapienza.github.io/VA4XDL/survis/ Visual Analytics for eXplainable Deep Learning]
* [https://visdunneright.github.io/gd-comp-eval/ Evaluating Graph Layout Algorithms]
* [https://iadesign.space/ Immersive Analytics Design Space]
* [https://vfilipov.pages.cvast.tuwien.ac.at/survis/ A Road Map of Network Visualization]
* [https://utwente-dmb.github.io/xai-papers/#/ Explainable AI Methods]
* [https://www.rego-project.eu/survey-cutaneous-teleop/ Cutaneous/Tactile Haptic Feedback in Robotic Teleoperation]
* [https://academic-research-projects.gitlab.io/Chatbot-Avatar-Browser/ Chatbot Avatar Browser]: A Visual Survey of Conversational Agent's Avatar Design
* [https://poloclub.github.io/supernova/ SuperNOVA]: Interactive Notebook Visualization Browser
* [https://oldvis.github.io/gallery/ The OldVis Project]: A Digital Library of Old Visualizations

== Non-Interactive Surveys ==
* [https://www.cvast.tuwien.ac.at/SetViz Sets and Set-typed Data Visualization]
* [https://docs.google.com/spreadsheets/d/1yJkf-Nt0kel8hojLZJQiJeWR5Qc-HHqvKvpRDVrfc9g/edit#gid=0 Visualization and Interactive Surfaces]
* [https://sites.google.com/view/visres Visualization Resources]
* [https://www.sci.utah.edu/~kpotter/Library/Catalogs/uncertaintyVis/ Uncertainty Visualization and Data References]

== Other Related Tools and Datasets ==
* [http://keyvis.org/ KeyVis]: Search for VIS paper keywords
* [http://vispubdata.org/ VisPubData]: IEEE Visualization (IEEE VIS) publications data from 1990-2022+
* [https://visimagenavigator.github.io/ VISImageNavigator]: Visual browser for 30,000+ images from the IEEE Visualization conference series (Vis, SciVis, InfoVis, and VAST)
* [https://vispubs.com/ Vispubs.com]: A visualization publications repository
* [https://visualsurvey.net/ VisualSurvey.net]: A webservice for collections of scientific articles
* [https://networkrepository.com/ Network Repository]: The first interactive data and network data repository with real-time visual analytics
* [https://hm00081.github.io/metaphorVis/ MetaphorVis]: Exploration of visual metaphors used in sentiment visualization

== Discontinued Surveys ==
* <del>[http://www.aviz.fr/~bbach/timelines/ Timeline Visualization Survey]</del>
* <del>[http://www.cos.ufrj.br/~schots/survis_reuse/ Visualization of Software Reuse]</del>
* <del>[http://ieg.ifs.tuwien.ac.at/~federico/LiPatVis/ PaperViz.org - A Survey on Visual Approaches for Analyzing Scientific Literature and Patents]</del>
* <del>[http://visgroup.thss.tsinghua.edu.cn/textvis Bridging Text Visualization and Mining]</del>
* <del>[https://sites.google.com/site/drminchen/cgf-info/cgf-stars Min Chen's List of Survey Articles]</del>
* <del>[http://104.196.253.120/pva_browser Predictive Visual Analytics Browser]</del>
* <del>[http://www.vizipedia.com/ vizipedia - data visualization library]</del>
* <del>[http://sos.swansea.ac.uk/ Survey of Surveys (SoS) Literature Collection]</del>
* <del>[http://collectionvis.org/ Visualization of Cultural Heritage Collection Data]</del>
* <del>[http://visbooks.swansea.ac.uk/ Survey of Information Visualization Books]</del>

[[Category:Web resources]][[Category:Surveys]]

Interactive Online Surveys

2025-01-07T11:13:27Z

Iwolf: added OldVis (/* Interactive Visual Surveys */)

== Interactive Visual Surveys ==

*[https://amitjenaiitbm.github.io/uncertaintyVizBrowser/ The UncertaintyVis Browser]
*[https://trustmlvis.lnu.se TrustMLVis Browser]: A Visual Survey in Enhancing Trust in Machine Learning (ML) Models with Visualization
*[http://keshif.me/demo/VisTools Data-Visualization Tools & Books (Keshif)]: Very comprehensive interactive browser for 400+ visualization tools and 80+ visualization books
*[http://dynamicgraphs.fbeck.com Dynamic Graph Visualization]
*[http://spacetimecubevis.com Space-Time Cube Vis: A Review of Temporal Visualizations based on Space-Time Cube Operations]
*[http://survey.timeviz.net The TimeViz Browser: A Visual Survey of Visualization Techniques for Time-Oriented Data]
*[https://textvis.lnu.se Text Visualization Browser: A Visual Survey of Text Visualization Techniques]
*[http://treevis.net treevis.net - A Visual Bibliography of Tree Visualization]
*[http://idav.ucdavis.edu/~ki/STAR/ Performance Visualization]
*[http://multivis.net/ Visualization and Visual Analysis of Multifaceted Scientific Data]
*[http://datavizcatalogue.com The Data Visualisation Catalogue]
*[https://biovis.lnu.se BioVis Explorer: A Visual Guide to BioVis Techniques]
*[http://sparklines-literature.fbeck.com Sparklines Literature]
*[https://sentimentvis.lnu.se SentimentVis Browser: A Visual Survey of Sentiment Visualization Techniques]
*[http://financevis.net Financevis.net: A Visual Survey of Financial Data Visualizations]
*[http://dataphys.org/list/ List of Physical Visualizations and Related Artifacts]
*[http://www.datavis.ca/milestones/ Data Visualisation Milestones]
*[http://www.sci.utah.edu/~shusenl/highDimSurvey/website/ Visualizing High-Dimensional Data: Advances in the Past Decade]
*[http://groups-in-graphs.corinna-vehlow.com Visualizing Group Structures in Graphs]
*[http://matrixreordering.dbvis.de/#/ Matrix Reordering Survey]
*[http://cartogram.cs.arizona.edu/survis-cartogram/ The State of the Art in Cartograms]
*[https://www.data-to-viz.com From Data to Viz] leads you to the most appropriate graph for your data. It links to the code to build it and lists common caveats you should avoid.
*[https://vizsec.dbvis.de/ Visualization for Cyber Security]
*[https://regvis.net/ Regvis - A Visual Bibliography of Regulatory Visualization]
* [https://vdl.sci.utah.edu/mvnv/ Multivariate Network Visualization Techniques]
* [https://agrepository.github.io/ Accessible Graphics Repository]
* [https://hce-star.dbvis.de/ Human-Centered Evaluations of Human-Centered Machine Learning]
* [https://geonetworks.github.io/ Geospatial Network Visualization]
* [https://provenance-survey.caleydo.org/ Analysis of User Interactions and Visualization Provenance]
* [https://rethinkingvis.com/ ReThinking Visualization]
* [https://commercialtools.dbvis.de/ Commercial Visual Analytics Tools]
* [https://computergraphics.on.liu.se/image_synthesis_methods_for_visual_machine_learning/# Image Synthesis Methods for Visual Machine Learning]
* [https://ehr.wangqiru.com/ EHR STAR Browser]
* [https://iasurvey.dbvis.de/ Immersive Analytics with Abstract 3D Visualizations]
* [https://www.cs.nott.ac.uk/~psxef1/index.html SurVisLit]: Visualization Literacy Literature Collection
* [https://connectomics-vis-survey.github.io/ Connectomics Vis Survey]
* [https://lauragarrison87.github.io/star.web/ Visualization for Physiology]: A Multiscale Overview
* [https://sportsdataviz.github.io/ Sports Data Visualization]
* [https://communication-analysis.dbvis.de/ Communication Analysis Approaches]
* [https://urban-va-survey.github.io/ Urban Visual Analytics]
* [https://ml4vis.github.io/ ML4Vis]: Applying Machine Learning Advances to Data Visualization
* [https://ai4vis.github.io/ AI4VIS]: Artificial Intelligence Approaches for Data Visualization
* [https://vis-surveys.list.lu/scented-widgets Scented Widgets Browser]
* [http://plick.cs.niu.edu/projects/STAR_Companion_Website/index.html Dynamic Multivariate Network Visualization Techniques]
* [https://visualsurvey.net/pva The State of the Art in Progressive Visualization]
* [https://sites.cvast.tuwien.ac.at/visual-parameter-space-exploration-survey/ Visual Parameter Space Exploration in Time and Space]
* [https://va-embeddings-browser.ivis.itn.liu.se/ VA+Embeddings Browser]: A Visual Survey of the Use of Embedding Approaches in Visual Analytics
* [https://aware-diag-sapienza.github.io/VA4XDL/survis/ Visual Analytics for eXplainable Deep Learning]
* [https://visdunneright.github.io/gd-comp-eval/ Evaluating Graph Layout Algorithms]
* [https://iadesign.space/ Immersive Analytics Design Space]
* [https://vfilipov.pages.cvast.tuwien.ac.at/survis/ A Road Map of Network Visualization]
* [https://utwente-dmb.github.io/xai-papers/#/ Explainable AI Methods]
* [https://www.rego-project.eu/survey-cutaneous-teleop/ Cutaneous/Tactile Haptic Feedback in Robotic Teleoperation]
* [https://academic-research-projects.gitlab.io/Chatbot-Avatar-Browser/ Chatbot Avatar Browser]: A Visual Survey of Conversational Agent's Avatar Design
* [https://poloclub.github.io/supernova/ SuperNOVA]: Interactive Notebook Visualization Browser
* [https://oldvis.github.io/gallery/ The OldVis Project}: A Digital Library of Old Visualizations

== Non-Interactive Surveys ==
* [https://www.cvast.tuwien.ac.at/SetViz Sets and Set-typed Data Visualization]
* [https://docs.google.com/spreadsheets/d/1yJkf-Nt0kel8hojLZJQiJeWR5Qc-HHqvKvpRDVrfc9g/edit#gid=0 Visualization and Interactive Surfaces]
* [https://sites.google.com/view/visres Visualization Resources]
* [https://www.sci.utah.edu/~kpotter/Library/Catalogs/uncertaintyVis/ Uncertainty Visualization and Data References]

== Other Related Tools and Datasets ==
* [http://keyvis.org/ KeyVis]: Search for VIS paper keywords
* [http://vispubdata.org/ VisPubData]: IEEE Visualization (IEEE VIS) publications data from 1990-2022+
* [https://visimagenavigator.github.io/ VISImageNavigator]: Visual browser for 30,000+ images from the IEEE Visualization conference series (Vis, SciVis, InfoVis, and VAST)
* [https://vispubs.com/ Vispubs.com]: A visualization publications repository
* [https://visualsurvey.net/ VisualSurvey.net]: A webservice for collections of scientific articles
* [https://networkrepository.com/ Network Repository]: The first interactive data and network data repository with real-time visual analytics
* [https://hm00081.github.io/metaphorVis/ MetaphorVis]: Exploration of visual metaphors used in sentiment visualization

== Discontinued Surveys ==
* <del>[http://www.aviz.fr/~bbach/timelines/ Timeline Visualization Survey]</del>
* <del>[http://www.cos.ufrj.br/~schots/survis_reuse/ Visualization of Software Reuse]</del>
* <del>[http://ieg.ifs.tuwien.ac.at/~federico/LiPatVis/ PaperViz.org - A Survey on Visual Approaches for Analyzing Scientific Literature and Patents]</del>
* <del>[http://visgroup.thss.tsinghua.edu.cn/textvis Bridging Text Visualization and Mining]</del>
* <del>[https://sites.google.com/site/drminchen/cgf-info/cgf-stars Min Chen's List of Survey Articles]</del>
* <del>[http://104.196.253.120/pva_browser Predictive Visual Analytics Browser]</del>
* <del>[http://www.vizipedia.com/ vizipedia - data visualization library]</del>
* <del>[http://sos.swansea.ac.uk/ Survey of Surveys (SoS) Literature Collection]</del>
* <del>[http://collectionvis.org/ Visualization of Cultural Heritage Collection Data]</del>
* <del>[http://visbooks.swansea.ac.uk/ Survey of Information Visualization Books]</del>

[[Category:Web resources]][[Category:Surveys]]

Information Visualization Links

2024-11-14T07:30:40Z

Iwolf:

== Chart Chooser / Chart Type Overviews ==
*[http://www.datavizcatalogue.com The Data Visualisation Catalogue] by Severino Ribecca
*[https://datavizproject.com Data Viz Project] by ferdio
*[http://chartmaker.visualisingdata.com/ The Chartmaker Directory] (by Andy Kirk)
*[https://vistools.net VisBrowser] by University of Edinburgh

*[https://www.anychart.com/chartopedia Chartopedia: Your guide for choosing the right chart types]
*[https://extremepresentation.typepad.com/blog/2006/09/choosing_a_good.html Choosing a good chart] by A. Abela
*[http://excelcharts.com/classification-chart-types/ A classification of chart types] by Jorge Camoes
*[https://chart.guide/ Chart.Guide] by M. Dullaert
*[https://datavizproject.com/ Data Viz Project] by ferdio
*[https://github.com/ft-interactive/chart-doctor/tree/master/visual-vocabulary Financial Times Visual Vocabulary] by the Financial Times Visual Journalism Team
*[https://www.r-graph-gallery.com/ The R Graph Gallery] by Y. Holtz
*[http://stephanieevergreen.com/qualitative-chart-chooser-3/ Qualitative Chart Chooser 3.0] by J. Lyons and S. Evergreen
*[http://labs.juiceanalytics.com/chartchooser/index.html Chart Chooser] by Juice Labs
*[https://www.anychart.com/de/chartopedia/ Chartopedia] by AnyChart

== Articles ==
*[http://blog.semanticfoundry.com/2010/04/27/dynamic-visualization-introduction-theory/ Dynamic Visualization: Introduction & Theory] by Will Evans

== Design Patterns ==
*[https://dashboarddesignpatterns.github.io Dashboard Design Patterns]

== Research and Teaching Resources ==
*[https://sites.google.com/view/visres Visualization Resources] by X. Liu et al.
*[https://visualization.info/ Data Visualization Teaching and Learning Materials] by H.-J. Schulz

[[Category:Web resources]]

Information Visualization Links

2024-11-14T07:29:53Z

Iwolf: added Chartmaker Directory

== Chart Chooser / Chart Type Overviews ==
*[http://www.datavizcatalogue.com The Data Visualisation Catalogue] by Severino Ribecca
*[https://datavizproject.com Data Viz Project] by ferdio
*[http://chartmaker.visualisingdata.com/ The Chartmaker Directory] (by Andy Kirk)

*[https://www.anychart.com/chartopedia Chartopedia: Your guide for choosing the right chart types]
*[https://extremepresentation.typepad.com/blog/2006/09/choosing_a_good.html Choosing a good chart] by A. Abela
*[http://excelcharts.com/classification-chart-types/ A classification of chart types] by Jorge Camoes
*[https://chart.guide/ Chart.Guide] by M. Dullaert
*[https://datavizproject.com/ Data Viz Project] by ferdio
*[https://github.com/ft-interactive/chart-doctor/tree/master/visual-vocabulary Financial Times Visual Vocabulary] by the Financial Times Visual Journalism Team
*[https://www.r-graph-gallery.com/ The R Graph Gallery] by Y. Holtz
*[http://stephanieevergreen.com/qualitative-chart-chooser-3/ Qualitative Chart Chooser 3.0] by J. Lyons and S. Evergreen
*[http://labs.juiceanalytics.com/chartchooser/index.html Chart Chooser] by Juice Labs

*[https://www.anychart.com/de/chartopedia/ Chartopedia] by AnyChart
*[https://vistools.net VisBrowser] by University of Edinburgh

== Articles ==
*[http://blog.semanticfoundry.com/2010/04/27/dynamic-visualization-introduction-theory/ Dynamic Visualization: Introduction & Theory] by Will Evans

== Design Patterns ==
*[https://dashboarddesignpatterns.github.io Dashboard Design Patterns]

== Research and Teaching Resources ==
*[https://sites.google.com/view/visres Visualization Resources] by X. Liu et al.
*[https://visualization.info/ Data Visualization Teaching and Learning Materials] by H.-J. Schulz

[[Category:Web resources]]

Techniques Links

2024-11-14T07:29:11Z

Iwolf: added Chartmaker Directory

*[http://chartmaker.visualisingdata.com/ The Chartmaker Directory] (by Andy Kirk)
*[http://www.bewitched.com/match/index.html Arc Diagrams] Representing complex patterns of repetition in string data (by [[Wattenberg, Martin|Martin Wattenberg]])
*[http://www.emn.fr/x-info/spiraclock/ SpiraClock] SpiraClock is a new visualization technique for nearby events. Events are displayed inside an analog clock that can be also used as a regular computer clock. SpiraClock supplements traditional time-table or calendar displays by giving the user a continuous feedback on upcoming events. Compared to alarms and pop-up reminders, SpiraClock is far less intrusive and more informative.
*[http://www.well.com/user/smalin/mam.html Music Animation Machine (M.A.M.)] Visualizing complex music.
*[http://www.research.ibm.com/history/ history flow] Visualizing wiki web document evolution
*[http://sourceforge.net/projects/jtreeview/ Java Treeview] Java Treeview - An Open Source, Extensible Viewer for Microarray Data in the PCL or CDT format
*[http://www.sciencenews.org/pictures/mathtrek/112608/nightingale.swf Nightingale Rose Charts] Flash animation
*[https://xeno.graphics Xenographics] Weird but (sometimes) useful charts

== Parallel Coordinates ==
*[http://catt.bus.okstate.edu/jones98/parallel.html Parallel Coordinates] (Interactive Transactions of ORMS) by Christopher V. Jones
*[http://www.b-eye-network.com/newsletters/ben/3355 Multivariate Analysis Using Parallel Coordinates] by [[Few, Stephen|Stephen Few]]

== Heat Maps ==
*[http://www.b-eye-network.com/view/3459 Multivariate Analysis Using Heatmaps] by [[Few, Stephen|Stephen Few]]

[[Category:Web resources]]

Geovisualization Links

2024-11-14T07:26:00Z

Iwolf: added Andy Kirk

*[http://www.cartotalk.com/ CartoTalk] A Public Forum for Cartography and Design
*[https://visualisingdata.com/resources/#Mapping Data Visualisation Resources: Packages, utilities, and libraries for mapping data and performing spatial analysis] (by Andy Kirk)

[[Category:Web resources]]

Community, Overview, and Directory Links

2024-11-14T07:23:22Z

Iwolf: updated Andy Kirk link

*[http://www.infovis.net/ InfoVis.net] featuring the Digital Magazine '''Inf@Vis!'''
*[http://www.informationdesign.org/ InfoDesign: Understanding by Design]
*[http://www.infovis.org/ infovis.org] Information Visualization Resources
*[http://dmoz.org/Reference/Knowledge_Management/Knowledge_Discovery/Information_Visualization/ dmoz.org] Information Visualization resources at dmoz, the Open Directory
*[http://www.technorati.com/tag/visualization Technorati: Tag: visualization] Articles on techorati.com that are tagged by the term ''visualization''
*[http://groups.google.com/groups?hl=en&lr=&ie=UTF-8&group=comp.graphics.visualization Usenet group comp.graphics.visualization]
*[http://vadl.cc.gatech.edu/ Visual Analytics Digital Library]
*[http://www.google.com/coop/cse?cx=015508547728725058312%3Ae72-8qt96bi Data Visualization Search] Search engine for everything Data Visualization. Narrows down searches to known good sources. - Please contribute links to search.
*[http://www.visual-literacy.org visual-literacy.org] An E-Learning Tutorial on Visualization for Communication, Engineering and Business
*[http://www.secviz.org secviz.org] Security Visualization
*[http://www.sci.utah.edu/vissuccess/index.php/Main_Page Success Stories in Scientific Visualization]
*[http://www.vizsec.org vizsec.org] Visualization for Cyber Security Community
*[http://secviz.org/ SecViz] Security Visualization
*[http://www.vizworld.com/ VizWorld]
*[http://datajournalism.stanford.edu Journalism in the Age of Data] by Geoff McGhee.
*[http://www.protedi.at/keyvis/visualization.php KeyVis] Search for VIS paper keywords.
*[http://www.cs.ubc.ca/group/infovis/resources.shtml Visualization Design Resources] A current (as of Sept. 2015) yet incomplete list of resources for visualization design, biased toward resources used by or familiar to members of the UBC InfoVis group.

== Personal Sites on Information Visualization ==
*[http://iv.homeunix.org/ John Goodall's website on information visualization]
*[http://www.kosara.net/research/infovis/ Robert Kosara's website on information visualization]
*[http://www.masternewmedia.org/information_design_and_data_visualization.htm Information Design and Data Visualization - Robin Good' Sharewood Tidings]
*[http://www.edwardtufte.com/bboard/q-and-a?topic_id=1 Ask E.T.] E. Tufte's moderated forum
*[http://www.wikiviz.org WikiViz] Wiki dedicated to personal research notes on Information Visualisation by Riccardo Mazza

== Link Sites ==
*[http://www.dcs.napier.ac.uk/~marting/linksFrame.html#infvis Martin Graham's Information Visualization Links]
*[http://vrg.dur.ac.uk/misc/PeterYoung/pages/work/info-vis.html Peter Young : Links to information visualisation resources]
*[http://www.cs.man.ac.uk/~ngg/InfoViz/ Information Visualization Resources]
*[http://isdale.com/jerry/VR/InfoVis_Links.html Jerry Isdale's Big List of InfoVis Links]
*[http://dmoz.org/Arts/Illustration/Specialized/Technical_and_Infographics/ Open Directory - Arts: Illustration: Specialized: Technical and Infographics]
*[http://graphics.stanford.edu/courses/cs348c-96-fall/resources.html Some Information Visualization Resources on the Web]
*[http://graphics.stanford.edu/courses/cs348c-96-fall/selbib.html Readings on Information Visualization]
*[http://www.cs.ubc.ca/~tmm/courses/cpsc533c-04-spr/resources.html Information Visualization Resources]
*[http://www.dynamicdiagrams.com/about/resources_links.html Dynamic Diagrams > Recommended Links]
*[http://vlado.fmf.uni-lj.si/vlado/vladodam.htm Vladimir Batagelj - Data Mining and Visualization]
*[http://www.brunel.ac.uk/~cssrtfc/iv_links.htm Timothy Cribbin - InfoVis Links]
*[http://digitalmind.de/limited/showgroup_29_2.html digitalmind.de // Recommendations] (in German)
*[http://tecfa.unige.ch/guides/infoviz.html Dao's InfoViz pointers - TECFA]
*[http://www.phil.uni-sb.de/FR/Medienzentrum/Grafikexperiment/verweise.html#guideline Beiträge zu: Graphische Präsentation von Daten] (in German)
*[http://www.cs.umd.edu/class/spring2005/cmsc838s/resources.htm Resources for CMSC838S — Information Visualization]
*[http://www.p-jones.demon.co.uk/linksTwo.htm Visualization, Informatics, VR, Diagram - Hodges Model: Sciences Domain]
*[http://directory.google.com/Top/Reference/Knowledge_Management/Knowledge_Discovery/Information_Visualization/?tc=1 Google's edited list of links on Information Visualization]
*[http://dpxml.webcrawler.com/info.wbcrwl/search/web/information+visualization WebCrawler search for "Information Visualization"]
*[http://www.smashingmagazine.com/2009/09/11/25-useful-data-visualization-and-infographics-resources/ Data Visualization and Infographics Resources]
*[http://www.demoscience.org/resources/category/2 Resources collected by the 'Mapping Controversies' project]
*[https://visualisingdata.com/resources/ Andy Kirk's Essential Collection of Visualisation Resources]

== Link Sites to Books and Publications ==
*[http://www.infovis.net/printRec.php?rec=llibre&lang=2 InfoVis Books]
*[http://people.cs.vt.edu/%7Enorth/infoviz/ Readings in Information Visualization (Chris North, Virginia Tech)]
*[http://www.lis.uiuc.edu/~twidale/irinterfaces/1overview.html Overview Articles for Graphical Interfaces]
*[http://www.citeulike.org/group/infovis CiteULike InfoVis Reading Group]

[[Category:Web resources]]

Data Wrangling Software

2024-11-14T07:22:48Z

Iwolf: updated Andy Kirk link

== Link Sites ==
*[https://visualisingdata.com/resources/#Data Essential Resources: Tools for collecting and handling data (by Andy Kirk)]

== Articles ==
*[http://jeroenjanssens.com/2013/09/19/seven-command-line-tools-for-data-science.html 7 command-line tools for data science] (by Jeroen Janssen, 2013)

== Specialized data wrangling tools ==
*[http://code.google.com/p/google-refine/ Google Refine] a power tool for working with messy data (formerly Freebase Gridworks)
*[http://vis.stanford.edu/wrangler/ Data Wrangler] interactive tool for data cleaning and transformation.
*[http://www.shancarter.com/data_converter/ Mr. Data Converter] convert Excel data into one of several web-friendly formats, including HTML, JSON and XML
*[http://people.ericson.net/ Mr. People] Parse and extract names.

== Spreadsheet applications ==
*[http://office.microsoft.com/en-us/excel/ MS Excel]
*[http://www.libreoffice.org/features/calc/ LibreOffice Calc]
*[http://www.openoffice.org/product/calc.html OpenOffice Calc]
*[http://www.google.com/google-d-s/spreadsheets/ Google Spreadsheets]

[[Category:Web resources]][[Category:Software]]

Software Links (InfoVis Applications)

2024-11-14T07:21:59Z

Iwolf: changed order

== Overview/Link Sites ==
*[https://visualisingdata.com/resources/ Essential Resources: Charting, analysis and exploratory tools (by Andy Kirk)]
*[https://datavizcatalogue.com/resources.html Data Visualisation Resources on The Data Visualisation Catalogue]
*[http://fabdp.fh-potsdam.de/infoviz/repository.html InfoViz - repository]
*[http://dmoz.org/Reference/Knowledge_Management/Knowledge_Discovery/Information_Visualization/Software/ Information Visualization Software at the OpenDirectory]
*[http://perlitalabs.wordpress.com/2009/11/04/list-of-data-visualization-tools-for-designers-and-developers/ List of Data Visualization Tools for Designers and Developers]

== Favorites ==
*[http://www.tableausoftware.com/products/public Tableau Public] is a free service that lets you create and share data visualizations on the web.
*[http://manyeyes.alphaworks.ibm.com/manyeyes/ Many Eyes] Free visualization site from IBM Research.
*[http://www.protovis.org Protovis] JavaScript library that composes custom views of data with simple marks such as bars and dots. (No longer under active development.)
*[http://mbostock.github.com/d3/ d3.js] D3.js is a small, free JavaScript library for manipulating documents based on data.
*[http://www.anychart.com AnyChart JS Charts] Flexible JavaScript data visualization library to easily create cross-browser interactive HTML5 charts and dashboards from any data.
*[http://prefuse.org prefuse] prefuse toolkit provides a visualization framework for the Java programming language.
*[http://flare.prefuse.org/ flare] Flare is an ActionScript library for creating visualizations that run in the Adobe Flash Player.
*[http://processing.org/ processing] Processing is a Java-based open source programming language and environment for people who want to create images, animations, and interactions.
*[http://code.google.com/apis/chart/ Google Chart Tools] rich gallery of interactive charts and data tools
*[http://tools.google.com/gapminder/ Gapminder World] Flash based Visualization that shows the world development indicators with a Scatterplot, Map and Animation (for Time).
*[http://tables.googlelabs.com/ Google Fusion Tables] Collaborative online visualization with community features similar to Manyeyes.
*[http://www.jfree.org/jfreechart/index.html JFreeChart] JFreeChart is a free Java class library for generating charts.
*[http://www.isomatic.de isomatic] the automatic isotype-tool (web-based).
*[http://app.raw.densitydesign.org RAW] The missing link between spreadsheets and vector graphics.
*[http://idl.cs.washington.edu/projects/lyra/ Lyra] The Lyra Visualization Design Environment (VDE) (Univ. Washington)
*[http://www.semantic-mediawiki.org Semantic MediaWiki] Framework of extensions for MediaWiki to add data structures and data visualisations ("result formats") to wikis.

== Applications ==

=== Free/Open Source ===
*[http://www.tableausoftware.com/products/public Tableau Public] is a free service that lets you create and share data visualizations on the web.
*[http://manyeyes.alphaworks.ibm.com/manyeyes/ Many Eyes] Free visualization site from IBM Research.
*[http://www.personal.psu.edu/cew15/improvise/ Improvise] An interactive information visualization builder and browser.
*[http://exploretree.org/ ExploreTree] is a tool (Java, written using Processing) for interactive visualization of tree structures.
*[http://www.topicscape.com/ 3D Topicscape Student Edition] is a free information visualization tool to assist with organizing notes and web pages in a 3D landscape.
*[http://www.ailab.si/orange Orange] A component based data-mining software with several visualization methods like scatterplot, radviz, polyviz, parallel coordinates, mosaic plot, survey plot, sieve diagram, ...
*[http://rosuda.org/Mondrian/ Mondrian] Mondrian is a statistical data-visualization system written in JAVA. The main emphasis of Mondrian is on visualization techniques for Categorical Data , Geographical Data and LARGE Data. Currently it features Mosaic Plot, Scatter Plots, Maps, Barcharts, Histograms, Parallel Coordinates/Boxplots and Boxplots y by x.
*[http://www.methylblue.com/filelight/ Filelight] Recursive graphical display of disk usage
*[http://www.ncea.org.au/Browser/ BROWSER] a tool for time-series exploration
*[http://patrickbaudisch.com/projects/fishnet/ fishnet] Fishnet is a web browser that always displays web pages in their entirety, independent of their size. Fishnet accomplishes this by using a fisheye view.
*[http://www.macrofocus.com/cityoscope/index.html Macrofocus - city'o'scope]
*[http://www.alphaworks.ibm.com/aw.nsf/376583DBD044EE5988256ACD00318D15/5BEACAD1AFB9FFC0882568A80071F0C9?opendocument alphaWorks : Visual Attribute Explorer] A tool that provides rapid data analysis through attribute bar charts and parallel coordinate plots.
*[http://www.jpitten.btinternet.co.uk/ Visualising the J2EE Management Model]
*[http://www.opendx.org/ OpenDX] Open Source Visualization framework based on IBM's Visualization Data Explorer
*[http://etherape.sourceforge.net/ EtherApe] A graphical network monitor
*[http://davis.wpi.edu/~xmdv XmdvTool] a tool for exploratory visualization of multivariate data
*[http://www.cs.kuleuven.ac.be/~hmdb/infovis/delicious/ DeliVis] A cluster map visualization of social bookmarks of del.icio.us
*[http://www.caleydo.org/ Caleydo] a tool made for exploration of gene expression data and pathways, but also usable for general spreadsheet data. It includes a 3D view management approach, a hierachical heat map, parallel coordinates, histograms and implements several clustering algorithms.
*[http://verifiable.com/ verifiable.com] create charts directly on the web.
*[http://eagereyes.org/parallel-sets Parallel Sets] visualization application for categorical data.
*[http://wiki.github.com/FlowingMedia/TimeFlow/ TimeFlow Analytical Timeline] Visual timelines for investigation

==== Treemap related ====
*[http://www.derlien.com/ Disk Inventory X] Disk Inventory X is a disk usage utility for Mac OS X 10.3. It shows the sizes of files and folders in a special graphical way called "treemaps".
*[http://www.win.tue.nl/sequoiaview/ The SequoiaView Homepage] Standard treemaps often lead to thin rectangles. We have developed a new method to display files : Squarified treemaps. The screen is subdivided such that rectangles approach squares as closely as possible.
*[http://www.marumushi.com/apps/newsmap/index.cfm Newsmap] Newsmap is an application that visually reflects the constantly changing landscape of the Google News news aggregator. A treemap visualization algorithm helps display the enormous amount of information gathered by the aggregator.
*[http://www.widgetgallery.com/view.php?widget=36335 NewsTiles] Konfabulator Widget for [http://www.marumushi.com/apps/newsmap/index.cfm Newsmap] (Treemap)
*[http://www.miclog.com/dm/index.shtml Disk Mapper - frees up megabytes of hard disk space] (commercial)
*[http://www.panopticon.com/products/trial.htm Software from Panopticon] is available for a free 30 day evaluation if you provide your contact information. Apart from the treemap visualization, Panopticon offers about 10 different visualizations including the Horizon Graph. Panopticon EX is a product for design and web publication of dashboards, while Panopticon Developer is an SDK for code level integration of the visualization technology from Panopticon in your own projects.
*[http://codecubed.com/map.html del.icio.us most popular treemap]
* [http://www.treemap.com/ Macrofocus TreeMap] An easy to use treemapping tool with examples, available both as desktop application as well as web-enabled applet
* [http://ariadne.cs.kuleuven.be/ Ariadne Search Tool] A treemap is used to classify learning objects. More information is also available [http://ariadne.cs.kuleuven.be/infovis here]
*[http://www.peets.com/selector_coffee/coffee_selector.asp?rdir=1& Coffee Selector] Peet's Coffe & Tea treemaps

=== Commercial ===
*[http://www.topicscape.com/ 3D Topicscape] is an information visualization tool to assist with organizing notes and computer files in a 3D landscape.
*[http://www.macrofocus.com/public/products/infoscope Macrofocus InfoScope] is an interactive visualization tool to explore large or complex datasets
*[http://www.bonavistasystems.com/index.html BonaVista MicroCharts], Sparklines, bullet graphs and other in-cell charts for Excel, dynamic chart formulas update your charts, multi-colored sparklines
*[http://www.bissantz.de/sparklines/sparkmaker.asp Bissantz SparkMaker] is an Office add-in for sparklines in dashboards, spreadsheets, presentations and reports. Sparklines are available as bar or line graphics, whiskers and pie charts. User-defined functions for Excel, like "Sparkline (cellrange)", ensure that changes in the data are reflected automatically in the sparkline diagram. Sparklines are also available in vector-oriented Enhanced Metafile format and as bitmap files (BMP, GIF, JPG, or PNG). Free 30-day trial with full functionality.
*[http://www.tomsnyder.com/products/product.asp?SKU=TIMV50 Tom Snyder Productions: TimeLiner]
*[http://www.e-sankey.com e!Sankey] Visualize any type of flow data (material, energy, cost, ...) in Sankey diagrams. Shareware
*[http://www.cs.sandia.gov/projects/VxInsight.html VxInsight - Sandia National Laboratories]
*[http://www.avs.com/index_wf.html AVS: Advanced Visual Systems: Data Visualization]
*[http://www.infozoom.com/enu/index.htm InfoZoom] InfoZoom is an intelligent tool that allows you to quickly analyze and display large amounts of data in an easy-to-understand format.
*[http://www2.ilog.com/preview/Discovery/ ILOG Discovery Preview] ILOG Discovery Preview is an experimental visualization tool for analyzing data sets intuitively and communicating findings within an enterprise information system. (free preview software downloadable)
*[http://www.ilog.com/products/jviews/ ILOG JViews] ILOG JViews components provide custom, graphical components for high-end desktop, Ajax, and Eclipse displays.
*[http://www.visualmining.com/products/netcharts-graphing-tools.shtml NetCharts Graphing Tools] NetCharts-brand graphics can be populated and deployed in virtually any environment and architecture. Client-side, server-side, database or file-driven, J2EE, PDF, or even .NET.it doesn't matter - NetCharts products integrate with all kinds of data and deployment situations.
*[http://www.thechiselgroup.org/shrimp SHriMP] (Simple Hierarchical Multi-Perspective) SHriMP is both an application and a technique, designed for visualizing and exploring software architecture and any other information space. University of Victoria
*[http://www.spotfire.com/ Spotfire DecisionSite]
*[http://www.ess.co.at/TOOLS/timeseries.html Time Series data display and analysis]
*[http://www.miclog.com/dm/index.shtml Disk Mapper - frees up megabytes of hard disk space]
*[http://www.inxight.com/products/vizserver/ Inxight VizServer]
*[http://www.tableausoftware.com/products.htm Tableau] Tableau is a visual analysis and reporting solution that allows people to explore and analyze databases with simple drag and drop operations.
*[http://www.panopticon.com/products/trial.htm Software from Panopticon] is available for a free 30 day evaluation if you provide your contact information. Apart from the treemap visualization, Panopticon offers about 10 different visualizations including the Horizon Graph. Panopticon EX is a product for design and web publication of dashboards, while Panopticon Developer is an SDK for code level integration of the visualization technology from Panopticon in your own projects.
* [http://www.magnaview.com/products/demo.html MagnaView] offers visualization tools to create and view data in different ways. MagnaView enables you to create bar charts, pie charts, scatterplots and more. All visualizations are based on treemap algorithms, allowing you to calculate aggregated values while still being able to see every single data point if so desired.
*[http://www.xcelsius.com/Products/Overview.html?intcmp=products6 Crystal Xcelsius] Create interactive visual analytics, business presentations and visual calculators from ordinary spreadsheets – then integrate them into PowerPoint, PDF and the Web.
*[http://www.visumap.net Visumap:] A visualization tool for high dimensional data. Turns tabular data quickly into 2D and 3D map.
*[http://www.vrvis.at/scivis/comvis/ ComVis] ComVis is an interactive visual analysis tool which is useful for the in-depth investigation of large and multi-dimensional datasets.
*[http://www.clickdensity.com/ clickdensity] clickdensity is a commercial usability tool that monitors and visualizes the usage of webpages (with heatmap, eg.) to identify usability and information architecture issues.
*[http://www.novospark.com/ NovoSpark Visualizer] A multidimensional data visualization tool for analysis of static and dynamic data. Free download.
*[http://www.zingchart.com/ ZingChart JavaScript Charts and Graphs] JS Charting library
*[http://www.anychart.com AnyChart JS Charts and Dashboards] Flexible JavaScript (HTML5) based data visualization libraries to create interactive, cross-platform and cross-browser charts, maps, stock (date/time) graphs, and Gantt charts.

== Web applications/services ==
*[http://www-106.ibm.com/developerworks/library/us-atex/AEApplet.html Attribute Explorer Applet]
*[http://www.marumushi.com/apps/newsmap/index.cfm newsmap]
*[http://pidoco.com Pidoco] Online tool for quickly visualizing software interfaces without programming.
*[http://babynamewizard.com/namevoyager/lnv0105.html The Baby Name Wizard's NameVoyager]
*[http://www.liveplasma.com/ liveplasma music, movies, search engine and discovery engine]
*[http://www.marumushi.com/apps/socialcircles/ social circles] mailing list social visualization by Marcos Weskamp
*[http://www.marumushi.com/apps/flickrgraph/ flickr graph] a social network visualization inside [http://www.flickr.com flickr.com] by Marcos Weskamp
*[http://bitworking.org/projects/sparklines/ Sparkline Generator] written in Python by Joe Gregorio
*[http://codecubed.com/map.html del.icio.us most popular treemap]
*[http://babynamewizard.com/namevoyager/ NameVoyager] Java Applet to explore baby names' popularity histories
*[http://tools.google.com/gapminder/ Gapminder World] Flash based Visualization that shows the world development indicators with a Scatterplot, Map and Animation (for Time).
*[http://www.google.com/analytics/ Google Analytics] Flash based Visualizations of web server statistics
*[http://labs.digg.com/ Digg Labs] Two Flash based Visualizations of the current Digg Content.
*[http://macro.scopia.es/ Macro.scopia] Flash based Visualizations of graph Viewer using the RSS feed, Google spreadsheet or Google calendar.
*[http://cityscape.inf.cs.cmu.edu/bungee/?db=music Bungee View] Open-source visualization of 50,000 musical albums and other image collections.
*[http://visalix.xrce.xerox.com Visalix] Free interactive web application for visual data analysis and clustering
*[http://vispedia.stanford.edu/ Vispedia] Interactive Visual Exploration of Wikipedia Data via Search-Based Integration ([http://graphics.stanford.edu/projects/vispedia/ Vispedia project page])
*[http://stats.oecd.org/OECDregionalstatistics/indexTL2.html OECD eXplorer tool]] OECD regnional statistics based on GeoAnalytics Visualization (GAV), which is developed for interactive Web applications based on Adobe Flash/Flex software by the Swedish National Center for Visual Analytics (NCVA).
*[http://tables.googlelabs.com/ Google Fusion Tables] Collaborative online visualization with community features similar to Manyeyes.
*[http://www.spicynodes.org/ SpicyNodes] Radial mapping authoring platform for the general public
*[http://gmap.cs.arizona.edu GMap] GMap is an algorithm for visualizing graphs as maps. (Exports to PNG, DOT, SVG, PDF)

[[Category:Web resources]][[Category:Software]]

Software Links (InfoVis Applications)

2024-11-14T07:21:38Z

Iwolf: Updated Kirk links

== Overview/Link Sites ==
*[https://datavizcatalogue.com/resources.html Data Visualisation Resources on The Data Visualisation Catalogue]
*[https://visualisingdata.com/resources/ Essential Resources: Charting, analysis and exploratory tools (by Andy Kirk)]
*[http://fabdp.fh-potsdam.de/infoviz/repository.html InfoViz - repository]
*[http://dmoz.org/Reference/Knowledge_Management/Knowledge_Discovery/Information_Visualization/Software/ Information Visualization Software at the OpenDirectory]
*[http://perlitalabs.wordpress.com/2009/11/04/list-of-data-visualization-tools-for-designers-and-developers/ List of Data Visualization Tools for Designers and Developers]

== Favorites ==
*[http://www.tableausoftware.com/products/public Tableau Public] is a free service that lets you create and share data visualizations on the web.
*[http://manyeyes.alphaworks.ibm.com/manyeyes/ Many Eyes] Free visualization site from IBM Research.
*[http://www.protovis.org Protovis] JavaScript library that composes custom views of data with simple marks such as bars and dots. (No longer under active development.)
*[http://mbostock.github.com/d3/ d3.js] D3.js is a small, free JavaScript library for manipulating documents based on data.
*[http://www.anychart.com AnyChart JS Charts] Flexible JavaScript data visualization library to easily create cross-browser interactive HTML5 charts and dashboards from any data.
*[http://prefuse.org prefuse] prefuse toolkit provides a visualization framework for the Java programming language.
*[http://flare.prefuse.org/ flare] Flare is an ActionScript library for creating visualizations that run in the Adobe Flash Player.
*[http://processing.org/ processing] Processing is a Java-based open source programming language and environment for people who want to create images, animations, and interactions.
*[http://code.google.com/apis/chart/ Google Chart Tools] rich gallery of interactive charts and data tools
*[http://tools.google.com/gapminder/ Gapminder World] Flash based Visualization that shows the world development indicators with a Scatterplot, Map and Animation (for Time).
*[http://tables.googlelabs.com/ Google Fusion Tables] Collaborative online visualization with community features similar to Manyeyes.
*[http://www.jfree.org/jfreechart/index.html JFreeChart] JFreeChart is a free Java class library for generating charts.
*[http://www.isomatic.de isomatic] the automatic isotype-tool (web-based).
*[http://app.raw.densitydesign.org RAW] The missing link between spreadsheets and vector graphics.
*[http://idl.cs.washington.edu/projects/lyra/ Lyra] The Lyra Visualization Design Environment (VDE) (Univ. Washington)
*[http://www.semantic-mediawiki.org Semantic MediaWiki] Framework of extensions for MediaWiki to add data structures and data visualisations ("result formats") to wikis.

== Applications ==

=== Free/Open Source ===
*[http://www.tableausoftware.com/products/public Tableau Public] is a free service that lets you create and share data visualizations on the web.
*[http://manyeyes.alphaworks.ibm.com/manyeyes/ Many Eyes] Free visualization site from IBM Research.
*[http://www.personal.psu.edu/cew15/improvise/ Improvise] An interactive information visualization builder and browser.
*[http://exploretree.org/ ExploreTree] is a tool (Java, written using Processing) for interactive visualization of tree structures.
*[http://www.topicscape.com/ 3D Topicscape Student Edition] is a free information visualization tool to assist with organizing notes and web pages in a 3D landscape.
*[http://www.ailab.si/orange Orange] A component based data-mining software with several visualization methods like scatterplot, radviz, polyviz, parallel coordinates, mosaic plot, survey plot, sieve diagram, ...
*[http://rosuda.org/Mondrian/ Mondrian] Mondrian is a statistical data-visualization system written in JAVA. The main emphasis of Mondrian is on visualization techniques for Categorical Data , Geographical Data and LARGE Data. Currently it features Mosaic Plot, Scatter Plots, Maps, Barcharts, Histograms, Parallel Coordinates/Boxplots and Boxplots y by x.
*[http://www.methylblue.com/filelight/ Filelight] Recursive graphical display of disk usage
*[http://www.ncea.org.au/Browser/ BROWSER] a tool for time-series exploration
*[http://patrickbaudisch.com/projects/fishnet/ fishnet] Fishnet is a web browser that always displays web pages in their entirety, independent of their size. Fishnet accomplishes this by using a fisheye view.
*[http://www.macrofocus.com/cityoscope/index.html Macrofocus - city'o'scope]
*[http://www.alphaworks.ibm.com/aw.nsf/376583DBD044EE5988256ACD00318D15/5BEACAD1AFB9FFC0882568A80071F0C9?opendocument alphaWorks : Visual Attribute Explorer] A tool that provides rapid data analysis through attribute bar charts and parallel coordinate plots.
*[http://www.jpitten.btinternet.co.uk/ Visualising the J2EE Management Model]
*[http://www.opendx.org/ OpenDX] Open Source Visualization framework based on IBM's Visualization Data Explorer
*[http://etherape.sourceforge.net/ EtherApe] A graphical network monitor
*[http://davis.wpi.edu/~xmdv XmdvTool] a tool for exploratory visualization of multivariate data
*[http://www.cs.kuleuven.ac.be/~hmdb/infovis/delicious/ DeliVis] A cluster map visualization of social bookmarks of del.icio.us
*[http://www.caleydo.org/ Caleydo] a tool made for exploration of gene expression data and pathways, but also usable for general spreadsheet data. It includes a 3D view management approach, a hierachical heat map, parallel coordinates, histograms and implements several clustering algorithms.
*[http://verifiable.com/ verifiable.com] create charts directly on the web.
*[http://eagereyes.org/parallel-sets Parallel Sets] visualization application for categorical data.
*[http://wiki.github.com/FlowingMedia/TimeFlow/ TimeFlow Analytical Timeline] Visual timelines for investigation

==== Treemap related ====
*[http://www.derlien.com/ Disk Inventory X] Disk Inventory X is a disk usage utility for Mac OS X 10.3. It shows the sizes of files and folders in a special graphical way called "treemaps".
*[http://www.win.tue.nl/sequoiaview/ The SequoiaView Homepage] Standard treemaps often lead to thin rectangles. We have developed a new method to display files : Squarified treemaps. The screen is subdivided such that rectangles approach squares as closely as possible.
*[http://www.marumushi.com/apps/newsmap/index.cfm Newsmap] Newsmap is an application that visually reflects the constantly changing landscape of the Google News news aggregator. A treemap visualization algorithm helps display the enormous amount of information gathered by the aggregator.
*[http://www.widgetgallery.com/view.php?widget=36335 NewsTiles] Konfabulator Widget for [http://www.marumushi.com/apps/newsmap/index.cfm Newsmap] (Treemap)
*[http://www.miclog.com/dm/index.shtml Disk Mapper - frees up megabytes of hard disk space] (commercial)
*[http://www.panopticon.com/products/trial.htm Software from Panopticon] is available for a free 30 day evaluation if you provide your contact information. Apart from the treemap visualization, Panopticon offers about 10 different visualizations including the Horizon Graph. Panopticon EX is a product for design and web publication of dashboards, while Panopticon Developer is an SDK for code level integration of the visualization technology from Panopticon in your own projects.
*[http://codecubed.com/map.html del.icio.us most popular treemap]
* [http://www.treemap.com/ Macrofocus TreeMap] An easy to use treemapping tool with examples, available both as desktop application as well as web-enabled applet
* [http://ariadne.cs.kuleuven.be/ Ariadne Search Tool] A treemap is used to classify learning objects. More information is also available [http://ariadne.cs.kuleuven.be/infovis here]
*[http://www.peets.com/selector_coffee/coffee_selector.asp?rdir=1& Coffee Selector] Peet's Coffe & Tea treemaps

=== Commercial ===
*[http://www.topicscape.com/ 3D Topicscape] is an information visualization tool to assist with organizing notes and computer files in a 3D landscape.
*[http://www.macrofocus.com/public/products/infoscope Macrofocus InfoScope] is an interactive visualization tool to explore large or complex datasets
*[http://www.bonavistasystems.com/index.html BonaVista MicroCharts], Sparklines, bullet graphs and other in-cell charts for Excel, dynamic chart formulas update your charts, multi-colored sparklines
*[http://www.bissantz.de/sparklines/sparkmaker.asp Bissantz SparkMaker] is an Office add-in for sparklines in dashboards, spreadsheets, presentations and reports. Sparklines are available as bar or line graphics, whiskers and pie charts. User-defined functions for Excel, like "Sparkline (cellrange)", ensure that changes in the data are reflected automatically in the sparkline diagram. Sparklines are also available in vector-oriented Enhanced Metafile format and as bitmap files (BMP, GIF, JPG, or PNG). Free 30-day trial with full functionality.
*[http://www.tomsnyder.com/products/product.asp?SKU=TIMV50 Tom Snyder Productions: TimeLiner]
*[http://www.e-sankey.com e!Sankey] Visualize any type of flow data (material, energy, cost, ...) in Sankey diagrams. Shareware
*[http://www.cs.sandia.gov/projects/VxInsight.html VxInsight - Sandia National Laboratories]
*[http://www.avs.com/index_wf.html AVS: Advanced Visual Systems: Data Visualization]
*[http://www.infozoom.com/enu/index.htm InfoZoom] InfoZoom is an intelligent tool that allows you to quickly analyze and display large amounts of data in an easy-to-understand format.
*[http://www2.ilog.com/preview/Discovery/ ILOG Discovery Preview] ILOG Discovery Preview is an experimental visualization tool for analyzing data sets intuitively and communicating findings within an enterprise information system. (free preview software downloadable)
*[http://www.ilog.com/products/jviews/ ILOG JViews] ILOG JViews components provide custom, graphical components for high-end desktop, Ajax, and Eclipse displays.
*[http://www.visualmining.com/products/netcharts-graphing-tools.shtml NetCharts Graphing Tools] NetCharts-brand graphics can be populated and deployed in virtually any environment and architecture. Client-side, server-side, database or file-driven, J2EE, PDF, or even .NET.it doesn't matter - NetCharts products integrate with all kinds of data and deployment situations.
*[http://www.thechiselgroup.org/shrimp SHriMP] (Simple Hierarchical Multi-Perspective) SHriMP is both an application and a technique, designed for visualizing and exploring software architecture and any other information space. University of Victoria
*[http://www.spotfire.com/ Spotfire DecisionSite]
*[http://www.ess.co.at/TOOLS/timeseries.html Time Series data display and analysis]
*[http://www.miclog.com/dm/index.shtml Disk Mapper - frees up megabytes of hard disk space]
*[http://www.inxight.com/products/vizserver/ Inxight VizServer]
*[http://www.tableausoftware.com/products.htm Tableau] Tableau is a visual analysis and reporting solution that allows people to explore and analyze databases with simple drag and drop operations.
*[http://www.panopticon.com/products/trial.htm Software from Panopticon] is available for a free 30 day evaluation if you provide your contact information. Apart from the treemap visualization, Panopticon offers about 10 different visualizations including the Horizon Graph. Panopticon EX is a product for design and web publication of dashboards, while Panopticon Developer is an SDK for code level integration of the visualization technology from Panopticon in your own projects.
* [http://www.magnaview.com/products/demo.html MagnaView] offers visualization tools to create and view data in different ways. MagnaView enables you to create bar charts, pie charts, scatterplots and more. All visualizations are based on treemap algorithms, allowing you to calculate aggregated values while still being able to see every single data point if so desired.
*[http://www.xcelsius.com/Products/Overview.html?intcmp=products6 Crystal Xcelsius] Create interactive visual analytics, business presentations and visual calculators from ordinary spreadsheets – then integrate them into PowerPoint, PDF and the Web.
*[http://www.visumap.net Visumap:] A visualization tool for high dimensional data. Turns tabular data quickly into 2D and 3D map.
*[http://www.vrvis.at/scivis/comvis/ ComVis] ComVis is an interactive visual analysis tool which is useful for the in-depth investigation of large and multi-dimensional datasets.
*[http://www.clickdensity.com/ clickdensity] clickdensity is a commercial usability tool that monitors and visualizes the usage of webpages (with heatmap, eg.) to identify usability and information architecture issues.
*[http://www.novospark.com/ NovoSpark Visualizer] A multidimensional data visualization tool for analysis of static and dynamic data. Free download.
*[http://www.zingchart.com/ ZingChart JavaScript Charts and Graphs] JS Charting library
*[http://www.anychart.com AnyChart JS Charts and Dashboards] Flexible JavaScript (HTML5) based data visualization libraries to create interactive, cross-platform and cross-browser charts, maps, stock (date/time) graphs, and Gantt charts.

== Web applications/services ==
*[http://www-106.ibm.com/developerworks/library/us-atex/AEApplet.html Attribute Explorer Applet]
*[http://www.marumushi.com/apps/newsmap/index.cfm newsmap]
*[http://pidoco.com Pidoco] Online tool for quickly visualizing software interfaces without programming.
*[http://babynamewizard.com/namevoyager/lnv0105.html The Baby Name Wizard's NameVoyager]
*[http://www.liveplasma.com/ liveplasma music, movies, search engine and discovery engine]
*[http://www.marumushi.com/apps/socialcircles/ social circles] mailing list social visualization by Marcos Weskamp
*[http://www.marumushi.com/apps/flickrgraph/ flickr graph] a social network visualization inside [http://www.flickr.com flickr.com] by Marcos Weskamp
*[http://bitworking.org/projects/sparklines/ Sparkline Generator] written in Python by Joe Gregorio
*[http://codecubed.com/map.html del.icio.us most popular treemap]
*[http://babynamewizard.com/namevoyager/ NameVoyager] Java Applet to explore baby names' popularity histories
*[http://tools.google.com/gapminder/ Gapminder World] Flash based Visualization that shows the world development indicators with a Scatterplot, Map and Animation (for Time).
*[http://www.google.com/analytics/ Google Analytics] Flash based Visualizations of web server statistics
*[http://labs.digg.com/ Digg Labs] Two Flash based Visualizations of the current Digg Content.
*[http://macro.scopia.es/ Macro.scopia] Flash based Visualizations of graph Viewer using the RSS feed, Google spreadsheet or Google calendar.
*[http://cityscape.inf.cs.cmu.edu/bungee/?db=music Bungee View] Open-source visualization of 50,000 musical albums and other image collections.
*[http://visalix.xrce.xerox.com Visalix] Free interactive web application for visual data analysis and clustering
*[http://vispedia.stanford.edu/ Vispedia] Interactive Visual Exploration of Wikipedia Data via Search-Based Integration ([http://graphics.stanford.edu/projects/vispedia/ Vispedia project page])
*[http://stats.oecd.org/OECDregionalstatistics/indexTL2.html OECD eXplorer tool]] OECD regnional statistics based on GeoAnalytics Visualization (GAV), which is developed for interactive Web applications based on Adobe Flash/Flex software by the Swedish National Center for Visual Analytics (NCVA).
*[http://tables.googlelabs.com/ Google Fusion Tables] Collaborative online visualization with community features similar to Manyeyes.
*[http://www.spicynodes.org/ SpicyNodes] Radial mapping authoring platform for the general public
*[http://gmap.cs.arizona.edu GMap] GMap is an algorithm for visualizing graphs as maps. (Exports to PNG, DOT, SVG, PDF)

[[Category:Web resources]][[Category:Software]]

Color

2024-11-14T07:19:19Z

Iwolf: updated Andy Kirk link

*[http://vis4.net/blog/posts/avoid-equidistant-hsv-colors/ How To Avoid Equidistant HSV Colors] via vis4.net (by Gregor Aisch)
*[http://tools.medialab.sciences-po.fr/iwanthue/ Colors for data scientists. Generate and refine palettes of optimally distinct colors.] via iWantHue
*[https://visualisingdata.com/resources/#Colour Essential Resources: Tools and references for working with colour] (by Andy Kirk)
*[http://colorbrewer2.org/ Color Brewer: Color Advice for Maps] (by Cynthia Brewer, Mark Harrower and The Pennsylvania State University)
*[https://github.com/SebastianMittelstaedt/ColorCAT ColorCAT] A Java tool that helps you to design colormaps for your data visualization (by Sebastian Mittelstädt)
*[http://hclwizard.org HCL Wizard] Provides an interactive online tool which allows everyone to create effective HCL color maps and integrate them in their personal workflow (by Achim Zeileis)
*[https://www.colorbox.io ColorBox] Colorbox is a color tool to produce color sets.
*[http://vrl.cs.brown.edu/color Colorgorical] built by Connor Gramazio with advisement from David Laidlaw and Karen Schloss.
*[https://sciviscolor.org/tools/ Color Tools] by Texas Advanced Computing Center

[[Category:Web resources]]

Visual Computing for Industry, Biomedicine, and Art (VCIBA), Springer

2024-11-07T12:16:30Z

Iwolf: Created page with "<b>Type:</b> Journal<br> <b>Publisher:</b> Springer<br> <b>ISSN:</b> 2524-4442 <br> *http://https://vciba.springeropen.com Category:Journals"

<b>Type:</b> Journal<br>
<b>Publisher:</b> Springer<br>
<b>ISSN:</b> 2524-4442 <br>

*http://https://vciba.springeropen.com

[[Category:Journals]]

2024-10-22: EuroVis 2025 Call for Papers (Abstract Deadline: November 27, 2024)

2024-10-22T14:32:35Z

Iwolf: added EuroVis 2025

= EuroVis 2025 Call for Full Papers (https://www.eurovis.org/) =

'''TLDR:''' Please submit your papers! Abstracts due Nov 27, 2024 (Wednesday).

'''New:''' Deadlines are now using timezone AoE (Anywhere on Earth) instead of GMT.

With this call for full papers, we invite original submission of high-quality papers that will set the standard and stimulate future trends in the field of visualization and visual analytics. Accepted full papers will be published in a special issue of Computer Graphics Forum, the International Journal of the Eurographics Association, after a two-stage peer-reviewing process. All accepted papers will be presented orally at the conference.

EuroVis 2025 (https://www.eurovis.org) will be held in Luxembourg City, Luxembourg on June 2-6, 2025.

We encourage submissions from all areas of visualization and visual analytics.

Suggested paper types and topics include, but are not limited to:

*Techniques: novel algorithms, visual encoding methods, and/or interaction techniques for data analysis, exploration, or communication. All sub-areas of visualization and visual analytics are welcomed, including high-dimensional, time-series, spatial, geographic, text, hierarchical, and network data. Techniques may be specialized for specific devices or form-factors (e.g., mobile or wall-scale visualization).
*Systems: new software frameworks, languages, or tools for visualization; systems for large-scale visualization; integrated graphical systems for visual analysis or interactive machine learning; collaborative and web-scale visualization systems.
*Applications & Design Studies: novel use of visualization to address problems in an application domain, including accounts of innovative system design, deployment and impact. We welcome diverse application areas, including the physical sciences, life sciences, social sciences, engineering, arts, sports, and humanities.
*Evaluation & Empirical Research: Comparative evaluation of competing visualization approaches; controlled experiments to inform visualization best practices; longitudinal and qualitative studies to understand user needs, visualization adoption, and use.
*Theory: models of visual encoding, interaction, and/or analysis tasks; implications from theories of perception, cognition, design, and/or aesthetics; methods for automated design or visualization recommendation.

For a wider range of paper types, please see [http://cmci.colorado.edu/visualab/papers/19-CGA-ContributionTypes.pdf “Broadening Intellectual Diversity in Visualization Research Papers” by B. Lee et al.].

== SUBMISSION INSTRUCTIONS ==

The maximum length for submitted papers to the full papers track is 10 pages (in Computer Graphics Forum (CGF) style, including all images and acknowledgements, but excluding references).
References should not exceed 2 pages. Authors are encouraged to use supplementary documents to provide extra content. Papers exceeding the maximum allowed number of pages will be automatically rejected.

Submissions must be made using the Computer Graphics Forum style, using the conference [https://www.eurovis2025.lu/fileadmin/files/egPublStyle-EuroVis_full-short-stars-posters-edu_2025.zip LaTeX template] for full papers which includes a sample document explaining the required format LaTeX2e Style template.

Authors have the option to submit their papers anonymously. In contrast to previous years, double-blind reviewing is optional, not required: authors may choose to disclose their identities to the reviewers. The reviewing process does not consider anonymity as a factor. The process will attempt to preserve anonymity of authors of anonymized submissions. However, the program committee, which is responsible for half of the reviews, will know the authors of submissions reviewed by them. This is required for selecting reviewers without conflict of interests. Please take note that submissions may be checked for plagiarism.

Authors have the option of submitting additional material with their submissions. Supplementary materials, such as videos and supporting data, are encouraged. For papers that have previously been reviewed for other venues and have been rejected or withdrawn, the authors are strongly encouraged to provide the original submission with a cover letter describing the changes they have made to comply with reviewers' comments and requests.

All full papers accepted to EuroVis appear in a special issue of Computer Graphics Forum, containing the conference proceedings, and will appear at the same time in the Eurographics digital library.

EuroVis submissions and papers are subject to the pre-print and self-archiving policies of the Computer Graphics Forum journal. Details are available from the [https://authorservices.wiley.com/author-resources/Journal-Authors/open-access/preprints-policy.html journal web site].

=== Plan S Compliance ===

EuroVis publishes all its material in the Eurographics Digital Library, and some material also in cooperation with Wiley Computer Graphics Forum (Full Papers, STAR Reports). The Eurographics Publication Board, Eurovis Steering Committee, and Eurovis Full Paper Chairs are aware of these questions, and state the following:

Publishing in the Eurographics Digital Library is Plan-S compliant.
Publishing with Wiley Computer Graphics Forum is Plan-S compliant in many cases, due to so-called transformational agreements between Wiley and national funding agencies and/or universities. In case of questions for clarification, please contact plan-S@eurovis.org and we will help to find a solution. We look forward very much to receiving your work for EuroVis.

===Usage of AI===
The use of generative AI tools is prohibited for authors to generate their text. The only use is allowed for grammar/English corrections or rephrasing.

Abstracts and full papers are submitted using the [https://new.precisionconference.com/submissions Precision Conference System (PCS)].
Please select Society: Eurographics, Conference/Journal: EuroVis 2025, Track: EuroVis 2025 Papers.

Submission of an abstract is mandatory by the abstract deadline, with completed papers due on by the full paper deadline. Submissions will not be accepted if an abstract is not submitted by the abstract deadline. Abstract submissions require the title, authors, paper type, abstract, and keywords in the form. The paper title and authors may not be changed after the abstract deadline. The remaining fields (the document, additional material) are submitted by the full paper deadline. Please note that EuroVis accepted full papers are published as a regular-length journal article, so submitting just an abstract is not sufficient. Submitters need to choose keywords and categories appropriate for their paper as this information is used in reviewer selection.

For more details please see the [https://www.eurovis.org/ EuroVis 2025 website]

== IMPORTANT DATES ==
*Abstract deadline: Nov 27, 2024 (Wednesday)
*Full paper deadline: Dec 4, 2024 (Wednesday)
*First Round Notification: Feb 12, 2025 (Wednesday)
*Revised Submission: March 5, 2025 (Wednesday)
*Final Notification: March 19, 2025 (Wednesday)
*Camera Ready Version: Apr 16, 2025 (Wednesday)
*Conference: June 2-6 (Monday - Friday)

All submission deadlines are at 23:59 AoE on the date indicated.

For any questions concerning full paper submissions please contact the full papers chair via [mailto:fullpapers@eurovis.org e-mail].

== FULL PAPERS CHAIRS ==

*Wolfgang Aigner, St. Pölten University of Applied Sciences, Austria
*Natalia Andrienko, Fraunhofer Institute IAIS, Germany
*Bei Wang, University of Utah, USA

Template:News

2024-10-22T14:22:29Z

Iwolf: added EuroVis 2025 CfP

<h1 style="padding: 5px, margin-top: 0px !important">'''Latest News'''</h1>
<small>[[Help:How_To_Enter_News|How to enter news?]]</small>













*[[2025-10-22: EuroVis 2025 Call for Papers (Abstract Deadline: November 27, 2024)]]
*[[2024-09-05: IVAPP 2025 Call for Papers (Deadline: October 2, 2024)]]
*[[2024-03-27: EuroVis 2024 Call for Posters (Extended Deadline: April 3, 2024)]]
*[[2024-01-11: EuroVis 2024 Call for Short Papers. (Deadline: February 16, 2024 EXTENDED)]]
*[[2023-01-18: EuroVis 2023 Call for Short Papers. (Deadline: February 27, 2023)]]
*[[2023-01-13: Job: PostDoc Position in Information Visualization / Visual Analytics at Linnaeus University, Sweden. (Deadline: February 10, 2023 EXTENDED)]]
*[[2023-01-05: Job: PhD Position in Information Visualization / Visual Analytics at Linköping University, Sweden. (Deadline: February 6, 2023)]]
*[[2022-12-08: Job: Senior Lecturer Position in Information Visualization at Linnaeus University, Sweden. (Deadline: January 9, 2023)]]
*[[2022-12-04: Job: PostDoc Position in Information Visualization / Visual Analytics at Linnaeus University, Sweden. (Deadline: January 9, 2023)]]
*[[2022-10-03: CFP: Special Issue of Information Visualization on Visual Text Analytics (Deadline: January 31, 2023)]]
*[[2021-04-28: CFP: AIMH - Symposium on Visualization and Artificial Intelligence for Medicine, Healthcare, and Social Good (Deadline: May 9, 2022 EXTENDED)]]
*[[2022-04-28: Job: PostDoc Position in Information Visualization / Visual Analytics at Linköping University, Sweden. (Deadline: May 20, 2022)]]
*[[2022-01-23: Job: PostDoc Position in Information Visualization / Visual Analytics at Linköping University, Sweden. (Deadline: February 28, 2022)]]
*[[2021-07-01: Job: PhD Position in Information Visualization / Visual Analytics at Linköping University, Sweden. (Deadline: August 20, 2021)]]
*[[2021-04-16: CFP: Information+ 2021, Abstract Submission (Deadline: May 15, 2021)]]
*[[2021-02-08: CFP: GD 2021: 29th International Symposium on Graph Drawing and Network Visualization]]
*[[2021-01-12: CFP: VISSOFT 2021: 9th IEEE Working Conference on Software Visualization]]
*[[2020-10-20: CFP: EuroVis 2021, Short Papers Submission (Deadline: March 1, 2021)]]
*[[2020-09-07: CFP: PacificVIS 2021]]
*[[2020-06-29: CFP: ACM IUI 2021]]
*[[2020-05-07: CFP: VISSOFT 2020: 8th IEEE Working Conference on Software Visualization]]

[[:Category:News|'''News Archive...''']]

[https://infovis-wiki.net/w/index.php?title=Special:Newpages&namespace=104&feed=rss News as RSS feed]
<br><small>[[InfoVis:Wiki_RSS_Feeds|List of all available RSS feeds]]</small>

EuroVis 2025

2024-10-22T14:20:49Z

Iwolf: Created page with "*'''Title''': Eurographics Conference on Visualization *'''Date:''' June 2 - 6, 2025 *'''Location:''' Luxembourg *'''Proceedings Publisher:''' Eurographics Association *'''Homepage:''' https://www.eurovis.org/ *'''Abstract Submission Deadline:''' November 27, 2024 *'''Paper Submission Deadline:''' December 4, 2024 Category:Conferences"

*'''Title''': Eurographics Conference on Visualization
*'''Date:''' June 2 - 6, 2025
*'''Location:''' [[wikipedia:Luxembourg|Luxembourg]]
*'''Proceedings Publisher:''' Eurographics Association
*'''Homepage:''' https://www.eurovis.org/

*'''Abstract Submission Deadline:''' November 27, 2024
*'''Paper Submission Deadline:''' December 4, 2024

[[Category:Conferences]]

Template:Conferences

2024-10-22T14:18:45Z

Iwolf: added EuroVis 2025

<h1 style="padding: 5px">Upcoming Events</h1>
<small>[[Help:How_To_Enter_Events|How to enter events?]]</small>
*[[IVAPP 2025]]: February 26-28, 2025, Porto, Portugal (Hybrid Event). The International Conference on '''Information Visualization Theory and Applications'''.
*[[EuroVis 2025]]: June 2-6, 2025, Luxembourg. EG Conference on Visualization ('''EuroVis''').
[[Category: Conferences]]

Data Libraries

2024-08-13T07:05:00Z

Iwolf: /* Armed Conflicts Data */ - Added MELTT

== Search Engines ==
*[http://www.wolframalpha.com Wolfram|Alpha]
*[http://lib.berkeley.edu/wikis/datalab/Main/GoogleSearch Social Science Data Search] Google Custom Search Engine @ Berkeley Library (targets 800+ academic, government agency, non-profit, and other web sites that provide high quality, downloadable statistical information and data sets. Emphasis is on data pertaining to the social sciences, health, developing countries, energy, natural resources, and the environment)
*[https://developers.google.com/search/docs/data-types/dataset Google Dataset Search]

== Misc ==

*[http://hcil.cs.umd.edu/localphp/hcil/vast/archive/ Visual Analytics Benchmark Repository]
*[http://www.ics.uci.edu/~mlearn/MLRepository.html UCI Machine Learning Repository]
*[http://kdd.ics.uci.edu/ UCI KDD Archive] UCI Knowledge Discovery in Databases Archive
*[http://www.cs.washington.edu/research/xmldatasets/ UW XML Repository] University of Washington XML Data Repository
*[http://lib.stat.cmu.edu/modules.php?op=modload&name=Downloads&file=index&req=viewsdownload&sid=31 StatLib] Data, Software and News from the Statistics Community
*[http://lib.stat.cmu.edu/general/tsa/tsa.html Time Series Analysis and Its Applications] Book Example Data
*[http://www-personal.buseco.monash.edu.au/~hyndman/TSDL/ Time Series Data Library]
*[http://www.bized.co.uk/timeweb/ TimeWeb] Web-based time series databanks
*[http://lisp.vse.cz/pkdd99/Challenge/ PKDD 2000 Challenge] Challenges of European Conferences on Principles and Practice of Knowledge Discovery in Databases
*[http://www.physionet.org/ PhysioNet] the research resource for complex physiologic signals
*[http://math.nist.gov/MatrixMarket/ MatrixMarket] A visual repository of test data for use in comparative studies of algorithms for numerical linear algebra, featuring nearly 500 sparse matrices from a variety of applications, as well as matrix generation tools and services.
*[http://www.geog.port.ac.uk/lifeline/ LifeLine project] Visualising Migrations, Transitions and Trajectories
*[http://www.tenbyten.org/developers.html 10x10] Every hour, 10x10 gathers the 100 most important words and pictures in the world, based on what's happening in the news.
*[http://iv.slis.indiana.edu/db/index.html InfoVis Cyberinfrastructure Data Bases]
*[http://www.cs.cmu.edu/~enron/ Enron Email Dataset]
*[http://kumo.swcp.com/stocks/ Historical Stock Data] Historical Data for S&P 500 Stocks
*[http://www.ensembl.org/info/data/download.html Ensembl] Provides sequence databases of gene, transcript and protein predictions.
* [http://www.epa.gov/air/data/index.html EPA air quality] AirData Web site gives you access to air pollution data for the entire United States.
* [http://ivpr.cs.uml.edu/shootout/about.html Network intrusion dataset]
* [http://research.lumeta.com/ches/map/ Internet Backbone Data] Internet Mapping Project
*[http://www.cs.ucr.edu/~eamonn/TSDMA/main.php UCR Time Series Data Mining Archive] A resource for researchers interested in the clustering, classification, indexing, segmentation, change point detection and rule extraction of time series. (by Eamonn Keogh)
*[http://www.bundesbank.de/statistik/statistik_zeitreihen.php Deutsche Bundesbank Zeitreihen]
*[http://www.sasi.group.shef.ac.uk/worldmapper/data_sources.html Source data sources of the Worldmapper project] ([http://www.worldmapper.org Worldmapper project])
*[http://www.worldbank.org/data Worldbank] Development Data & Statistics
*[http://www.b-eye-network.com/newsletters/data_viz_contest/data_viz.html Business Intelligence Network 2006 Data Visualization Competition] (Excel spreadsheet)
*[http://www.cs.ucr.edu/%7Eeamonn/discords/ Timeseries by Eamonn Keogh et al.]
*[http://www.bls.gov/data/home.htm U.S. Department of Labor] Bureau of Labor Statistics
*[http://www.nationalatlas.gov/atlasftp.html National Atlas]
*[http://www.airquality.co.uk/archive/data_and_statistics_home.php UK Air Quality Archive] Air Quality data in the UK from the present back to 1960
*[http://www.merl.com/wmd/ Mitsubishi Electric Research Labs (MERL)] Motion sensor data from a network of over 200 sensors for a year ([[WMD 2007]]).
*[http://www.erso.eu/data/content/introduction.htm European Road Safety Observatory] Road Safety Data
*[http://ec.europa.eu/transport/roadsafety/road_safety_observatory/care_en.htm CARE] Community database on road accidents resulting in death or injury (EU)
*[http://www.oecd.org/document/53/0,2340,en_2649_34351_2002165_1_1_1_1,00.html IRTAD] international database that gathers data on traffic and road accidents from 28 out of the 30 OECD Member countries
*[http://cdiac.esd.ornl.gov/trends/trends.htm Trends Online] A Compendium of Data on Global Change
*[http://finder.geocommons.com/ Finder!] Finder is a browser-based application for finding, organizing and sharing GeoData in common formats.
*[http://www.icwsm.org/2009/data/ ICWSM 2009 Data Challenge] data set containing 44 million blog posts; suitable for link analysis, social network extraction, analysis of influence among bloggers, ...
*[http://www.ckan.net/ CKAN] Comprehensive Knowledge Archive Network
*[http://numbrary.com/ Numbrary] Numbrary is a free online service dedicated to finding, using and sharing numbers on the web.
*[http://infochimps.org/ Infochimps] Free Redistributable Rich Data Sets
*[http://http://www.redliondata.com/ Red Lion Data] Large catalog of retailer location datasets in csv
*[http://dss.ucar.edu/catalogs/free.html CISL Research Data Archive] CISL Research Data Archive (RDA) - large and diverse collection of meteorological and oceanographic observations, operational and reanalysis model outputs, and remote sensing datasets
*[http://search.dss.ucar.edu/cgi-bin/rdabrowse?nb=true&c=list&cv=All+RDA+Datasets CISL Research Data Archive] CISL Research Data Archive (RDA) dataset selection according to variables, time resolution, etc.
*[http://www.pachube.com/ pachube] a service that enables you to connect, tag and share real time sensor data from objects, devices, buildings and environments around the world.
*[http://data.worldbank.org/ The World Bank Open Data]
*[http://www.google.com/publicdata/directory Google Public Data Explorer]
*[http://odysseas.calit2.uci.edu/doku.php/public:online_social_networks#available_datasets Facebook social graph, weighted random walks, and applications] Representative sample of Facebook users, weighted sample of college Facebook users and full sample of Facebook applications over a period of ~6 months.
*[http://www.statistikbanken.dk/statbank5a/SelectTable/Omrade0.asp?PLanguage=1 StatBank Denmark] StatBank Denmark contains detailed statistical information on the Danish society. The database is free of charge and data can be exported in several file formats and presented as diagrams or maps.
*[http://data.3tu.nl/repository/ 3TU.Datacentrum] offers the knowledge, experience and the tools to archive research data in a standardized, secure and well-documented manner.
*[http://www.cc.gatech.edu/gvu/ii/jigsaw/datafiles.html Jigsaw Datafiles]
*[http://stat-computing.org/dataexpo/ American Statistical Association (ASA) Bi-Annual Data Exposition]
*[http://lib.stat.cmu.edu/DASL/ Data and Story Library (DASL)] An online library of data files and stories that illustrate the use of basic statistics methods, from Carnegie Mellon
*[http://sunsite3.berkeley.edu/wikis/datalab/ Berkeley Data Lab]
*[http://www.stat.ucla.edu/data/ UCLA Statistics Data Sets]
*[http://www.freebase.com/ Freebase] A community effort that mostly provides data on people, places, and things.
*[http://aggdata.com Aggdata] repository of for-sale datasets, mostly focused on comprehensive lists of retail locations.
*[http://aws.amazon.com/publicdatasets Amazon Public Data Sets]
*[http://www.githubarchive.org/ GitHub Archive] GitHub's public timeline is a huge time-oriented data source (e.g. commits to hosted open source projects)
*[http://www.correlatesofwar.org/ Correlates of War] All wars in a CSV file.
*[http://www.ihapss.jhsph.edu/data/NMMAPS/documentation/frame.htm NMMAPS] health, climate, pollution time series
*[http://www.quandl.com/ Quandl] financial, economic and social datasets
*[http://openfoodfacts.org/ Open Food Facts] Open Food Facts is a free, open and collaborative database of food products from the entire world.
*[https://www.wikidata.org/ Wikidata] Wikidata is a free linked database that can be read and edited by both humans and machines.
*[https://aws.amazon.com/public-data-sets/ AWS Public Data Sets] AWS hosts a variety of public data sets that anyone can access for free.
*[http://www.makeovermonday.co.uk/data/ Makeover Monday] Datasets available from the Makeover Monday initiative
*[https://datahub.io Datahub] the free, powerful data management platform from Open Knowledge International, based on the CKAN data management system.

== Medicine ==
*[http://physionet.org/challenge/ PhysioNet/Computing in Cardiology Challenges]
*[https://wiki.openmrs.org/display/RES/Demo+Data OpenMRS Demo Data]

== Geography ==
(based on a list in [[Yau, N.: Visualize This: The FlowingData Guide to Design, Visualizations, and Statistics, Wiley, 2011 | Nathan Yau's book "Visualize This"]])
*[http://www.census.gov/geo/www/tiger/ TIGER] From the Census Bureau, probably the most extensive detailed data about roads, railroads, rivers, and ZIP codes you can find.
*[http://www.openstreetmap.org/ OpenStreetMap]
*[http://www.geocommons.com/ GeoCommons] Both data and a mapmaker

*[http://www.gadm.org/country Global Administrative Areas] administrative borders for many countries in the world in different formats
*[http://www.datamaps.eu/2013/07/17/oesterreichs-verwaltungsgrenzen-im-geojson-format/ Austrias borders in GeoJSON]

== World ==
(based on a list in [[Yau, N.: Visualize This: The FlowingData Guide to Design, Visualizations, and Statistics, Wiley, 2011 | Nathan Yau's book "Visualize This"]])
*[http://www.globalhealthfacts.org/ Global Health Facts] Health-related data about countries in the world.
*[http://data.un.org/ UNdata] Aggregator of world data from a variety of sources.
*[http://www.who.int/research/en/ World Health Organization] Again, a variety of health-related datasets such as mortality and life expectancy.
*[http://stats.oecd.org/ OECD Statistics] Major source for economic indicators.
*[http://data.worldbank.org World Bank] Data for hundreds of indicators and developer-friendly.

*[http://aiddata.org AidData] Open Data for International Development
*[https://github.com/factbook/factbook.json factbook.json] World Factbook Country Profiles in JSON - Free Open Public Domain Data

== Open Government Data / Government and Politics==
=== European Union ===
*[http://www.europeandataportal.eu/ European Data Portal]
=== Austria ===
*[http://gov.opendata.at Open Government Data Austria]
*[http://offener.datenkatalog.at/ Collection of Open Data in Austria]
* [http://datamarket.com/ DataMarket.com] is a data portal that provides access to statistics and structured data from various public and private sector organizations.
*[http://data.gv.at Offene Daten Österreich]
*[http://data.umweltbundesamt.at/ data.umweltbundesamt.at] Environment Agency Austria
*[http://www.datamaps.eu/2013/07/17/oesterreichs-verwaltungsgrenzen-im-geojson-format/ Austrias borders in GeoJSON]
*[http://www.aussda.at/ AUSSDA] Austrian Social Science Data Archive

=== UK ===
*[http://data.gov.uk/ Data.gov.uk] Catalog for data supplied by government organizations.

=== USA ===
*[http://www.census.gov/ Census Bureau] extensive demographics.
*[http://data.gov/ Data.gov] Catalog for data supplied by government organizations.
*[http://datasf.org/ DataSF] Data specific to San Francisco.
*[http://nyc.gov/data/ NYC] Data specific to New York.
*[http://www.followthemoney.org/ Follow the Money] Big set of tools and datasets to investigate money in state politics.
*[http://www.opensecrets.org/ OpenSecrets] provides details on government spending and lobbying.

== InfoVis Contest Datasets ==
* [http://www.cs.umd.edu/hcil/iv03contest/datasets.html InfoVis 2003 Contest] Tree data
* [http://www.cs.umd.edu/hcil/iv04contest/info.html InfoVis 2004 Contest] Meta Data of publications
* [http://ivpr.cs.uml.edu/infovis05/ InfoVis 2005 Contest] Technology Trends in the United States
* [http://sun.cs.lsus.edu/iv06/ InfoVis 2006 Contest] 1% public use microdata sample from the 2002 Census
* [http://eagereyes.org/InfoVisContest2007Data.html InfoVis 2007 Contest] Movie Database
* [http://www.merl.com/wmd/infovis.html InfoVis 2008 Contest] MERL motion sensor data

== BioVis Contest Datasets ==
* [http://www.biovis.net/year/2013/info/contest-data BioVis 2013 Contest] Protein Mutations and their effect on Protein Function

== Network Data ==
* [https://snap.stanford.edu/data/ SNAP] Stanford Large Network Dataset Collection by Jure Leskovec

== Other Lists ==
*[http://graphics.stanford.edu/~klingner/online_databases.html Jeff Klingner's List of Online Databases]
*[http://www.visualisingdata.com/index.php/2013/07/a-big-collection-of-sites-and-services-for-accessing-data/ Essential Resources: A big collection of sites and services for accessing data] (by Andy Kirk)

== Tools for Creating Synthetic Datasets ==
*[http://www.gris.tu-darmstadt.de/research/vissearch/projects/pcdc-synthetic-data-generation/index.html PCDC - On the Highway to Data] A Tool for the Fast Generation of Large Synthetic Data Sets (by TU Darmstadt)

== Map Data ==
*[http://www.gadm.org/ Global Administrative Areas] GADM is a spatial database of the location of the world's administrative areas (or adminstrative boundaries) for use in GIS and similar software.
*[http://vdstech.com/map-data.aspx VDS Technologies GIS & Mapping Components]

== Armed Conflicts Data ==
* Armed Conflict Location and Event Data (ACLED): C. Raleigh, A. Linke, H. Hegre, and J. Karlsen. “Introducing ACLED: An Armed Conflict Location and Event Dataset: Special Data Feature.” In: Journal of Peace Research 47.5 (2010), pp. 651–660.
* Uppsala Conflict Data Project – Georeferenced Event Dataset (GED): R. Sundberg and E. Melander. “Introducing the UCDP Georeferenced Event Dataset.” In: Journal of Peace Research 50.4 (2013), pp. 523–532.
* [http://www.start.umd.edu/gtd Global Terrorism Database (GTD)]
* Social Conflict Analysis Database (SCAD): I. Salehyan, C. S. Hendrix, J. Hamner, C. Case, C. Linebarger, E. Stull, and J. Williams. “Social Conflict in Africa: A New Database.” In: International Interactions 38.4 (2012), pp. 503–511.
* [https://www.meltt.net/ VEHICLE] Web application to analyze the results of hierarchically integrated conflict event data (Benedikt Mayer, 2024)

[[Category:Web resources]]

Data Libraries

2024-08-11T08:06:05Z

Iwolf: added conflict datasets

== Search Engines ==
*[http://www.wolframalpha.com Wolfram|Alpha]
*[http://lib.berkeley.edu/wikis/datalab/Main/GoogleSearch Social Science Data Search] Google Custom Search Engine @ Berkeley Library (targets 800+ academic, government agency, non-profit, and other web sites that provide high quality, downloadable statistical information and data sets. Emphasis is on data pertaining to the social sciences, health, developing countries, energy, natural resources, and the environment)
*[https://developers.google.com/search/docs/data-types/dataset Google Dataset Search]

== Misc ==

*[http://hcil.cs.umd.edu/localphp/hcil/vast/archive/ Visual Analytics Benchmark Repository]
*[http://www.ics.uci.edu/~mlearn/MLRepository.html UCI Machine Learning Repository]
*[http://kdd.ics.uci.edu/ UCI KDD Archive] UCI Knowledge Discovery in Databases Archive
*[http://www.cs.washington.edu/research/xmldatasets/ UW XML Repository] University of Washington XML Data Repository
*[http://lib.stat.cmu.edu/modules.php?op=modload&name=Downloads&file=index&req=viewsdownload&sid=31 StatLib] Data, Software and News from the Statistics Community
*[http://lib.stat.cmu.edu/general/tsa/tsa.html Time Series Analysis and Its Applications] Book Example Data
*[http://www-personal.buseco.monash.edu.au/~hyndman/TSDL/ Time Series Data Library]
*[http://www.bized.co.uk/timeweb/ TimeWeb] Web-based time series databanks
*[http://lisp.vse.cz/pkdd99/Challenge/ PKDD 2000 Challenge] Challenges of European Conferences on Principles and Practice of Knowledge Discovery in Databases
*[http://www.physionet.org/ PhysioNet] the research resource for complex physiologic signals
*[http://math.nist.gov/MatrixMarket/ MatrixMarket] A visual repository of test data for use in comparative studies of algorithms for numerical linear algebra, featuring nearly 500 sparse matrices from a variety of applications, as well as matrix generation tools and services.
*[http://www.geog.port.ac.uk/lifeline/ LifeLine project] Visualising Migrations, Transitions and Trajectories
*[http://www.tenbyten.org/developers.html 10x10] Every hour, 10x10 gathers the 100 most important words and pictures in the world, based on what's happening in the news.
*[http://iv.slis.indiana.edu/db/index.html InfoVis Cyberinfrastructure Data Bases]
*[http://www.cs.cmu.edu/~enron/ Enron Email Dataset]
*[http://kumo.swcp.com/stocks/ Historical Stock Data] Historical Data for S&P 500 Stocks
*[http://www.ensembl.org/info/data/download.html Ensembl] Provides sequence databases of gene, transcript and protein predictions.
* [http://www.epa.gov/air/data/index.html EPA air quality] AirData Web site gives you access to air pollution data for the entire United States.
* [http://ivpr.cs.uml.edu/shootout/about.html Network intrusion dataset]
* [http://research.lumeta.com/ches/map/ Internet Backbone Data] Internet Mapping Project
*[http://www.cs.ucr.edu/~eamonn/TSDMA/main.php UCR Time Series Data Mining Archive] A resource for researchers interested in the clustering, classification, indexing, segmentation, change point detection and rule extraction of time series. (by Eamonn Keogh)
*[http://www.bundesbank.de/statistik/statistik_zeitreihen.php Deutsche Bundesbank Zeitreihen]
*[http://www.sasi.group.shef.ac.uk/worldmapper/data_sources.html Source data sources of the Worldmapper project] ([http://www.worldmapper.org Worldmapper project])
*[http://www.worldbank.org/data Worldbank] Development Data & Statistics
*[http://www.b-eye-network.com/newsletters/data_viz_contest/data_viz.html Business Intelligence Network 2006 Data Visualization Competition] (Excel spreadsheet)
*[http://www.cs.ucr.edu/%7Eeamonn/discords/ Timeseries by Eamonn Keogh et al.]
*[http://www.bls.gov/data/home.htm U.S. Department of Labor] Bureau of Labor Statistics
*[http://www.nationalatlas.gov/atlasftp.html National Atlas]
*[http://www.airquality.co.uk/archive/data_and_statistics_home.php UK Air Quality Archive] Air Quality data in the UK from the present back to 1960
*[http://www.merl.com/wmd/ Mitsubishi Electric Research Labs (MERL)] Motion sensor data from a network of over 200 sensors for a year ([[WMD 2007]]).
*[http://www.erso.eu/data/content/introduction.htm European Road Safety Observatory] Road Safety Data
*[http://ec.europa.eu/transport/roadsafety/road_safety_observatory/care_en.htm CARE] Community database on road accidents resulting in death or injury (EU)
*[http://www.oecd.org/document/53/0,2340,en_2649_34351_2002165_1_1_1_1,00.html IRTAD] international database that gathers data on traffic and road accidents from 28 out of the 30 OECD Member countries
*[http://cdiac.esd.ornl.gov/trends/trends.htm Trends Online] A Compendium of Data on Global Change
*[http://finder.geocommons.com/ Finder!] Finder is a browser-based application for finding, organizing and sharing GeoData in common formats.
*[http://www.icwsm.org/2009/data/ ICWSM 2009 Data Challenge] data set containing 44 million blog posts; suitable for link analysis, social network extraction, analysis of influence among bloggers, ...
*[http://www.ckan.net/ CKAN] Comprehensive Knowledge Archive Network
*[http://numbrary.com/ Numbrary] Numbrary is a free online service dedicated to finding, using and sharing numbers on the web.
*[http://infochimps.org/ Infochimps] Free Redistributable Rich Data Sets
*[http://http://www.redliondata.com/ Red Lion Data] Large catalog of retailer location datasets in csv
*[http://dss.ucar.edu/catalogs/free.html CISL Research Data Archive] CISL Research Data Archive (RDA) - large and diverse collection of meteorological and oceanographic observations, operational and reanalysis model outputs, and remote sensing datasets
*[http://search.dss.ucar.edu/cgi-bin/rdabrowse?nb=true&c=list&cv=All+RDA+Datasets CISL Research Data Archive] CISL Research Data Archive (RDA) dataset selection according to variables, time resolution, etc.
*[http://www.pachube.com/ pachube] a service that enables you to connect, tag and share real time sensor data from objects, devices, buildings and environments around the world.
*[http://data.worldbank.org/ The World Bank Open Data]
*[http://www.google.com/publicdata/directory Google Public Data Explorer]
*[http://odysseas.calit2.uci.edu/doku.php/public:online_social_networks#available_datasets Facebook social graph, weighted random walks, and applications] Representative sample of Facebook users, weighted sample of college Facebook users and full sample of Facebook applications over a period of ~6 months.
*[http://www.statistikbanken.dk/statbank5a/SelectTable/Omrade0.asp?PLanguage=1 StatBank Denmark] StatBank Denmark contains detailed statistical information on the Danish society. The database is free of charge and data can be exported in several file formats and presented as diagrams or maps.
*[http://data.3tu.nl/repository/ 3TU.Datacentrum] offers the knowledge, experience and the tools to archive research data in a standardized, secure and well-documented manner.
*[http://www.cc.gatech.edu/gvu/ii/jigsaw/datafiles.html Jigsaw Datafiles]
*[http://stat-computing.org/dataexpo/ American Statistical Association (ASA) Bi-Annual Data Exposition]
*[http://lib.stat.cmu.edu/DASL/ Data and Story Library (DASL)] An online library of data files and stories that illustrate the use of basic statistics methods, from Carnegie Mellon
*[http://sunsite3.berkeley.edu/wikis/datalab/ Berkeley Data Lab]
*[http://www.stat.ucla.edu/data/ UCLA Statistics Data Sets]
*[http://www.freebase.com/ Freebase] A community effort that mostly provides data on people, places, and things.
*[http://aggdata.com Aggdata] repository of for-sale datasets, mostly focused on comprehensive lists of retail locations.
*[http://aws.amazon.com/publicdatasets Amazon Public Data Sets]
*[http://www.githubarchive.org/ GitHub Archive] GitHub's public timeline is a huge time-oriented data source (e.g. commits to hosted open source projects)
*[http://www.correlatesofwar.org/ Correlates of War] All wars in a CSV file.
*[http://www.ihapss.jhsph.edu/data/NMMAPS/documentation/frame.htm NMMAPS] health, climate, pollution time series
*[http://www.quandl.com/ Quandl] financial, economic and social datasets
*[http://openfoodfacts.org/ Open Food Facts] Open Food Facts is a free, open and collaborative database of food products from the entire world.
*[https://www.wikidata.org/ Wikidata] Wikidata is a free linked database that can be read and edited by both humans and machines.
*[https://aws.amazon.com/public-data-sets/ AWS Public Data Sets] AWS hosts a variety of public data sets that anyone can access for free.
*[http://www.makeovermonday.co.uk/data/ Makeover Monday] Datasets available from the Makeover Monday initiative
*[https://datahub.io Datahub] the free, powerful data management platform from Open Knowledge International, based on the CKAN data management system.

== Medicine ==
*[http://physionet.org/challenge/ PhysioNet/Computing in Cardiology Challenges]
*[https://wiki.openmrs.org/display/RES/Demo+Data OpenMRS Demo Data]

== Geography ==
(based on a list in [[Yau, N.: Visualize This: The FlowingData Guide to Design, Visualizations, and Statistics, Wiley, 2011 | Nathan Yau's book "Visualize This"]])
*[http://www.census.gov/geo/www/tiger/ TIGER] From the Census Bureau, probably the most extensive detailed data about roads, railroads, rivers, and ZIP codes you can find.
*[http://www.openstreetmap.org/ OpenStreetMap]
*[http://www.geocommons.com/ GeoCommons] Both data and a mapmaker

*[http://www.gadm.org/country Global Administrative Areas] administrative borders for many countries in the world in different formats
*[http://www.datamaps.eu/2013/07/17/oesterreichs-verwaltungsgrenzen-im-geojson-format/ Austrias borders in GeoJSON]

== World ==
(based on a list in [[Yau, N.: Visualize This: The FlowingData Guide to Design, Visualizations, and Statistics, Wiley, 2011 | Nathan Yau's book "Visualize This"]])
*[http://www.globalhealthfacts.org/ Global Health Facts] Health-related data about countries in the world.
*[http://data.un.org/ UNdata] Aggregator of world data from a variety of sources.
*[http://www.who.int/research/en/ World Health Organization] Again, a variety of health-related datasets such as mortality and life expectancy.
*[http://stats.oecd.org/ OECD Statistics] Major source for economic indicators.
*[http://data.worldbank.org World Bank] Data for hundreds of indicators and developer-friendly.

*[http://aiddata.org AidData] Open Data for International Development
*[https://github.com/factbook/factbook.json factbook.json] World Factbook Country Profiles in JSON - Free Open Public Domain Data

== Open Government Data / Government and Politics==
=== European Union ===
*[http://www.europeandataportal.eu/ European Data Portal]
=== Austria ===
*[http://gov.opendata.at Open Government Data Austria]
*[http://offener.datenkatalog.at/ Collection of Open Data in Austria]
* [http://datamarket.com/ DataMarket.com] is a data portal that provides access to statistics and structured data from various public and private sector organizations.
*[http://data.gv.at Offene Daten Österreich]
*[http://data.umweltbundesamt.at/ data.umweltbundesamt.at] Environment Agency Austria
*[http://www.datamaps.eu/2013/07/17/oesterreichs-verwaltungsgrenzen-im-geojson-format/ Austrias borders in GeoJSON]
*[http://www.aussda.at/ AUSSDA] Austrian Social Science Data Archive

=== UK ===
*[http://data.gov.uk/ Data.gov.uk] Catalog for data supplied by government organizations.

=== USA ===
*[http://www.census.gov/ Census Bureau] extensive demographics.
*[http://data.gov/ Data.gov] Catalog for data supplied by government organizations.
*[http://datasf.org/ DataSF] Data specific to San Francisco.
*[http://nyc.gov/data/ NYC] Data specific to New York.
*[http://www.followthemoney.org/ Follow the Money] Big set of tools and datasets to investigate money in state politics.
*[http://www.opensecrets.org/ OpenSecrets] provides details on government spending and lobbying.

== InfoVis Contest Datasets ==
* [http://www.cs.umd.edu/hcil/iv03contest/datasets.html InfoVis 2003 Contest] Tree data
* [http://www.cs.umd.edu/hcil/iv04contest/info.html InfoVis 2004 Contest] Meta Data of publications
* [http://ivpr.cs.uml.edu/infovis05/ InfoVis 2005 Contest] Technology Trends in the United States
* [http://sun.cs.lsus.edu/iv06/ InfoVis 2006 Contest] 1% public use microdata sample from the 2002 Census
* [http://eagereyes.org/InfoVisContest2007Data.html InfoVis 2007 Contest] Movie Database
* [http://www.merl.com/wmd/infovis.html InfoVis 2008 Contest] MERL motion sensor data

== BioVis Contest Datasets ==
* [http://www.biovis.net/year/2013/info/contest-data BioVis 2013 Contest] Protein Mutations and their effect on Protein Function

== Network Data ==
* [https://snap.stanford.edu/data/ SNAP] Stanford Large Network Dataset Collection by Jure Leskovec

== Other Lists ==
*[http://graphics.stanford.edu/~klingner/online_databases.html Jeff Klingner's List of Online Databases]
*[http://www.visualisingdata.com/index.php/2013/07/a-big-collection-of-sites-and-services-for-accessing-data/ Essential Resources: A big collection of sites and services for accessing data] (by Andy Kirk)

== Tools for Creating Synthetic Datasets ==
*[http://www.gris.tu-darmstadt.de/research/vissearch/projects/pcdc-synthetic-data-generation/index.html PCDC - On the Highway to Data] A Tool for the Fast Generation of Large Synthetic Data Sets (by TU Darmstadt)

== Map Data ==
*[http://www.gadm.org/ Global Administrative Areas] GADM is a spatial database of the location of the world's administrative areas (or adminstrative boundaries) for use in GIS and similar software.
*[http://vdstech.com/map-data.aspx VDS Technologies GIS & Mapping Components]

== Armed Conflicts Data ==
* Armed Conflict Location and Event Data (ACLED): C. Raleigh, A. Linke, H. Hegre, and J. Karlsen. “Introducing ACLED: An Armed Conflict Location and Event Dataset: Special Data Feature.” In: Journal of Peace Research 47.5 (2010), pp. 651–660.
* Uppsala Conflict Data Project – Georeferenced Event Dataset (GED): R. Sundberg and E. Melander. “Introducing the UCDP Georeferenced Event Dataset.” In: Journal of Peace Research 50.4 (2013), pp. 523–532.
* [http://www.start.umd.edu/gtd Global Terrorism Database (GTD)]
* Social Conflict Analysis Database (SCAD): I. Salehyan, C. S. Hendrix, J. Hamner, C. Case, C. Linebarger, E. Stull, and J. Williams. “Social Conflict in Africa: A New Database.” In: International Interactions 38.4 (2012), pp. 503–511.

[[Category:Web resources]]

Data Libraries

2024-02-25T16:25:02Z

Iwolf: added AUSSDA - /* Austria */

== Search Engines ==
*[http://www.wolframalpha.com Wolfram|Alpha]
*[http://lib.berkeley.edu/wikis/datalab/Main/GoogleSearch Social Science Data Search] Google Custom Search Engine @ Berkeley Library (targets 800+ academic, government agency, non-profit, and other web sites that provide high quality, downloadable statistical information and data sets. Emphasis is on data pertaining to the social sciences, health, developing countries, energy, natural resources, and the environment)
*[https://developers.google.com/search/docs/data-types/dataset Google Dataset Search]

== Misc ==

*[http://hcil.cs.umd.edu/localphp/hcil/vast/archive/ Visual Analytics Benchmark Repository]
*[http://www.ics.uci.edu/~mlearn/MLRepository.html UCI Machine Learning Repository]
*[http://kdd.ics.uci.edu/ UCI KDD Archive] UCI Knowledge Discovery in Databases Archive
*[http://www.cs.washington.edu/research/xmldatasets/ UW XML Repository] University of Washington XML Data Repository
*[http://lib.stat.cmu.edu/modules.php?op=modload&name=Downloads&file=index&req=viewsdownload&sid=31 StatLib] Data, Software and News from the Statistics Community
*[http://lib.stat.cmu.edu/general/tsa/tsa.html Time Series Analysis and Its Applications] Book Example Data
*[http://www-personal.buseco.monash.edu.au/~hyndman/TSDL/ Time Series Data Library]
*[http://www.bized.co.uk/timeweb/ TimeWeb] Web-based time series databanks
*[http://lisp.vse.cz/pkdd99/Challenge/ PKDD 2000 Challenge] Challenges of European Conferences on Principles and Practice of Knowledge Discovery in Databases
*[http://www.physionet.org/ PhysioNet] the research resource for complex physiologic signals
*[http://math.nist.gov/MatrixMarket/ MatrixMarket] A visual repository of test data for use in comparative studies of algorithms for numerical linear algebra, featuring nearly 500 sparse matrices from a variety of applications, as well as matrix generation tools and services.
*[http://www.geog.port.ac.uk/lifeline/ LifeLine project] Visualising Migrations, Transitions and Trajectories
*[http://www.tenbyten.org/developers.html 10x10] Every hour, 10x10 gathers the 100 most important words and pictures in the world, based on what's happening in the news.
*[http://iv.slis.indiana.edu/db/index.html InfoVis Cyberinfrastructure Data Bases]
*[http://www.cs.cmu.edu/~enron/ Enron Email Dataset]
*[http://kumo.swcp.com/stocks/ Historical Stock Data] Historical Data for S&P 500 Stocks
*[http://www.ensembl.org/info/data/download.html Ensembl] Provides sequence databases of gene, transcript and protein predictions.
* [http://www.epa.gov/air/data/index.html EPA air quality] AirData Web site gives you access to air pollution data for the entire United States.
* [http://ivpr.cs.uml.edu/shootout/about.html Network intrusion dataset]
* [http://research.lumeta.com/ches/map/ Internet Backbone Data] Internet Mapping Project
*[http://www.cs.ucr.edu/~eamonn/TSDMA/main.php UCR Time Series Data Mining Archive] A resource for researchers interested in the clustering, classification, indexing, segmentation, change point detection and rule extraction of time series. (by Eamonn Keogh)
*[http://www.bundesbank.de/statistik/statistik_zeitreihen.php Deutsche Bundesbank Zeitreihen]
*[http://www.sasi.group.shef.ac.uk/worldmapper/data_sources.html Source data sources of the Worldmapper project] ([http://www.worldmapper.org Worldmapper project])
*[http://www.worldbank.org/data Worldbank] Development Data & Statistics
*[http://www.b-eye-network.com/newsletters/data_viz_contest/data_viz.html Business Intelligence Network 2006 Data Visualization Competition] (Excel spreadsheet)
*[http://www.cs.ucr.edu/%7Eeamonn/discords/ Timeseries by Eamonn Keogh et al.]
*[http://www.bls.gov/data/home.htm U.S. Department of Labor] Bureau of Labor Statistics
*[http://www.nationalatlas.gov/atlasftp.html National Atlas]
*[http://www.airquality.co.uk/archive/data_and_statistics_home.php UK Air Quality Archive] Air Quality data in the UK from the present back to 1960
*[http://www.merl.com/wmd/ Mitsubishi Electric Research Labs (MERL)] Motion sensor data from a network of over 200 sensors for a year ([[WMD 2007]]).
*[http://www.erso.eu/data/content/introduction.htm European Road Safety Observatory] Road Safety Data
*[http://ec.europa.eu/transport/roadsafety/road_safety_observatory/care_en.htm CARE] Community database on road accidents resulting in death or injury (EU)
*[http://www.oecd.org/document/53/0,2340,en_2649_34351_2002165_1_1_1_1,00.html IRTAD] international database that gathers data on traffic and road accidents from 28 out of the 30 OECD Member countries
*[http://cdiac.esd.ornl.gov/trends/trends.htm Trends Online] A Compendium of Data on Global Change
*[http://finder.geocommons.com/ Finder!] Finder is a browser-based application for finding, organizing and sharing GeoData in common formats.
*[http://www.icwsm.org/2009/data/ ICWSM 2009 Data Challenge] data set containing 44 million blog posts; suitable for link analysis, social network extraction, analysis of influence among bloggers, ...
*[http://www.ckan.net/ CKAN] Comprehensive Knowledge Archive Network
*[http://numbrary.com/ Numbrary] Numbrary is a free online service dedicated to finding, using and sharing numbers on the web.
*[http://infochimps.org/ Infochimps] Free Redistributable Rich Data Sets
*[http://http://www.redliondata.com/ Red Lion Data] Large catalog of retailer location datasets in csv
*[http://dss.ucar.edu/catalogs/free.html CISL Research Data Archive] CISL Research Data Archive (RDA) - large and diverse collection of meteorological and oceanographic observations, operational and reanalysis model outputs, and remote sensing datasets
*[http://search.dss.ucar.edu/cgi-bin/rdabrowse?nb=true&c=list&cv=All+RDA+Datasets CISL Research Data Archive] CISL Research Data Archive (RDA) dataset selection according to variables, time resolution, etc.
*[http://www.pachube.com/ pachube] a service that enables you to connect, tag and share real time sensor data from objects, devices, buildings and environments around the world.
*[http://data.worldbank.org/ The World Bank Open Data]
*[http://www.google.com/publicdata/directory Google Public Data Explorer]
*[http://odysseas.calit2.uci.edu/doku.php/public:online_social_networks#available_datasets Facebook social graph, weighted random walks, and applications] Representative sample of Facebook users, weighted sample of college Facebook users and full sample of Facebook applications over a period of ~6 months.
*[http://www.statistikbanken.dk/statbank5a/SelectTable/Omrade0.asp?PLanguage=1 StatBank Denmark] StatBank Denmark contains detailed statistical information on the Danish society. The database is free of charge and data can be exported in several file formats and presented as diagrams or maps.
*[http://data.3tu.nl/repository/ 3TU.Datacentrum] offers the knowledge, experience and the tools to archive research data in a standardized, secure and well-documented manner.
*[http://www.cc.gatech.edu/gvu/ii/jigsaw/datafiles.html Jigsaw Datafiles]
*[http://stat-computing.org/dataexpo/ American Statistical Association (ASA) Bi-Annual Data Exposition]
*[http://lib.stat.cmu.edu/DASL/ Data and Story Library (DASL)] An online library of data files and stories that illustrate the use of basic statistics methods, from Carnegie Mellon
*[http://sunsite3.berkeley.edu/wikis/datalab/ Berkeley Data Lab]
*[http://www.stat.ucla.edu/data/ UCLA Statistics Data Sets]
*[http://www.freebase.com/ Freebase] A community effort that mostly provides data on people, places, and things.
*[http://aggdata.com Aggdata] repository of for-sale datasets, mostly focused on comprehensive lists of retail locations.
*[http://aws.amazon.com/publicdatasets Amazon Public Data Sets]
*[http://www.githubarchive.org/ GitHub Archive] GitHub's public timeline is a huge time-oriented data source (e.g. commits to hosted open source projects)
*[http://www.correlatesofwar.org/ Correlates of War] All wars in a CSV file.
*[http://www.ihapss.jhsph.edu/data/NMMAPS/documentation/frame.htm NMMAPS] health, climate, pollution time series
*[http://www.quandl.com/ Quandl] financial, economic and social datasets
*[http://openfoodfacts.org/ Open Food Facts] Open Food Facts is a free, open and collaborative database of food products from the entire world.
*[https://www.wikidata.org/ Wikidata] Wikidata is a free linked database that can be read and edited by both humans and machines.
*[https://aws.amazon.com/public-data-sets/ AWS Public Data Sets] AWS hosts a variety of public data sets that anyone can access for free.
*[http://www.makeovermonday.co.uk/data/ Makeover Monday] Datasets available from the Makeover Monday initiative
*[https://datahub.io Datahub] the free, powerful data management platform from Open Knowledge International, based on the CKAN data management system.

== Medicine ==
*[http://physionet.org/challenge/ PhysioNet/Computing in Cardiology Challenges]
*[https://wiki.openmrs.org/display/RES/Demo+Data OpenMRS Demo Data]

== Geography ==
(based on a list in [[Yau, N.: Visualize This: The FlowingData Guide to Design, Visualizations, and Statistics, Wiley, 2011 | Nathan Yau's book "Visualize This"]])
*[http://www.census.gov/geo/www/tiger/ TIGER] From the Census Bureau, probably the most extensive detailed data about roads, railroads, rivers, and ZIP codes you can find.
*[http://www.openstreetmap.org/ OpenStreetMap]
*[http://www.geocommons.com/ GeoCommons] Both data and a mapmaker

*[http://www.gadm.org/country Global Administrative Areas] administrative borders for many countries in the world in different formats
*[http://www.datamaps.eu/2013/07/17/oesterreichs-verwaltungsgrenzen-im-geojson-format/ Austrias borders in GeoJSON]

== World ==
(based on a list in [[Yau, N.: Visualize This: The FlowingData Guide to Design, Visualizations, and Statistics, Wiley, 2011 | Nathan Yau's book "Visualize This"]])
*[http://www.globalhealthfacts.org/ Global Health Facts] Health-related data about countries in the world.
*[http://data.un.org/ UNdata] Aggregator of world data from a variety of sources.
*[http://www.who.int/research/en/ World Health Organization] Again, a variety of health-related datasets such as mortality and life expectancy.
*[http://stats.oecd.org/ OECD Statistics] Major source for economic indicators.
*[http://data.worldbank.org World Bank] Data for hundreds of indicators and developer-friendly.

*[http://aiddata.org AidData] Open Data for International Development
*[https://github.com/factbook/factbook.json factbook.json] World Factbook Country Profiles in JSON - Free Open Public Domain Data

== Open Government Data / Government and Politics==
=== European Union ===
*[http://www.europeandataportal.eu/ European Data Portal]
=== Austria ===
*[http://gov.opendata.at Open Government Data Austria]
*[http://offener.datenkatalog.at/ Collection of Open Data in Austria]
* [http://datamarket.com/ DataMarket.com] is a data portal that provides access to statistics and structured data from various public and private sector organizations.
*[http://data.gv.at Offene Daten Österreich]
*[http://data.umweltbundesamt.at/ data.umweltbundesamt.at] Environment Agency Austria
*[http://www.datamaps.eu/2013/07/17/oesterreichs-verwaltungsgrenzen-im-geojson-format/ Austrias borders in GeoJSON]
*[http://www.aussda.at/ AUSSDA] Austrian Social Science Data Archive

=== UK ===
*[http://data.gov.uk/ Data.gov.uk] Catalog for data supplied by government organizations.

=== USA ===
*[http://www.census.gov/ Census Bureau] extensive demographics.
*[http://data.gov/ Data.gov] Catalog for data supplied by government organizations.
*[http://datasf.org/ DataSF] Data specific to San Francisco.
*[http://nyc.gov/data/ NYC] Data specific to New York.
*[http://www.followthemoney.org/ Follow the Money] Big set of tools and datasets to investigate money in state politics.
*[http://www.opensecrets.org/ OpenSecrets] provides details on government spending and lobbying.

== InfoVis Contest Datasets ==
* [http://www.cs.umd.edu/hcil/iv03contest/datasets.html InfoVis 2003 Contest] Tree data
* [http://www.cs.umd.edu/hcil/iv04contest/info.html InfoVis 2004 Contest] Meta Data of publications
* [http://ivpr.cs.uml.edu/infovis05/ InfoVis 2005 Contest] Technology Trends in the United States
* [http://sun.cs.lsus.edu/iv06/ InfoVis 2006 Contest] 1% public use microdata sample from the 2002 Census
* [http://eagereyes.org/InfoVisContest2007Data.html InfoVis 2007 Contest] Movie Database
* [http://www.merl.com/wmd/infovis.html InfoVis 2008 Contest] MERL motion sensor data

== BioVis Contest Datasets ==
* [http://www.biovis.net/year/2013/info/contest-data BioVis 2013 Contest] Protein Mutations and their effect on Protein Function

== Network Data ==
* [https://snap.stanford.edu/data/ SNAP] Stanford Large Network Dataset Collection by Jure Leskovec

== Other Lists ==
*[http://graphics.stanford.edu/~klingner/online_databases.html Jeff Klingner's List of Online Databases]
*[http://www.visualisingdata.com/index.php/2013/07/a-big-collection-of-sites-and-services-for-accessing-data/ Essential Resources: A big collection of sites and services for accessing data] (by Andy Kirk)

== Tools for Creating Synthetic Datasets ==
*[http://www.gris.tu-darmstadt.de/research/vissearch/projects/pcdc-synthetic-data-generation/index.html PCDC - On the Highway to Data] A Tool for the Fast Generation of Large Synthetic Data Sets (by TU Darmstadt)

== Map Data ==
*[http://www.gadm.org/ Global Administrative Areas] GADM is a spatial database of the location of the world's administrative areas (or adminstrative boundaries) for use in GIS and similar software.
*[http://vdstech.com/map-data.aspx VDS Technologies GIS & Mapping Components]

[[Category:Web resources]]

Template:Conferences

2023-10-04T15:02:02Z

Iwolf: added EuroVis 2024

<h1 style="padding: 5px">Upcoming Events</h1>
<small>[[Help:How_To_Enter_Events|How to enter events?]]</small>
*[[EuroVis 2024]]: May 27-31, 2024, Odense, Denmark. EG Conference on Visualization ('''EuroVis''').
[[Category: Conferences]]

Color

2023-08-14T13:52:51Z

Iwolf: added Color tools by Texas Advanced Computing Center

*[http://vis4.net/blog/posts/avoid-equidistant-hsv-colors/ How To Avoid Equidistant HSV Colors] via vis4.net (by Gregor Aisch)
*[http://tools.medialab.sciences-po.fr/iwanthue/ Colors for data scientists. Generate and refine palettes of optimally distinct colors.] via iWantHue
*[http://www.visualisingdata.com/index.php/2013/08/tools-and-resources-for-working-with-colour/ Essential Resources: Tools and references for working with colour] (by Andy Kirk)
*[http://colorbrewer2.org/ Color Brewer: Color Advice for Maps] (by Cynthia Brewer, Mark Harrower and The Pennsylvania State University)
*[https://github.com/SebastianMittelstaedt/ColorCAT ColorCAT] A Java tool that helps you to design colormaps for your data visualization (by Sebastian Mittelstädt)
*[http://hclwizard.org HCL Wizard] Provides an interactive online tool which allows everyone to create effective HCL color maps and integrate them in their personal workflow (by Achim Zeileis)
*[https://www.colorbox.io ColorBox] Colorbox is a color tool to produce color sets.
*[http://vrl.cs.brown.edu/color Colorgorical] built by Connor Gramazio with advisement from David Laidlaw and Karen Schloss.
*[https://sciviscolor.org/tools/ Color Tools] by Texas Advanced Computing Center

[[Category:Web resources]]

Information Visualization Links

2023-08-10T10:07:27Z

Iwolf: added dashboard design patterns link

== Chart Chooser / Chart Type Overviews ==
*[http://www.datavizcatalogue.com The Data Visualisation Catalogue] by Severino Ribecca
*[https://www.anychart.com/chartopedia Chartopedia: Your guide for choosing the right chart types]
*[https://extremepresentation.typepad.com/blog/2006/09/choosing_a_good.html Choosing a good chart] by A. Abela
*[http://excelcharts.com/classification-chart-types/ A classification of chart types] by Jorge Camoes
*[https://chart.guide/ Chart.Guide] by M. Dullaert
*[https://datavizproject.com/ Data Viz Project] by ferdio
*[https://github.com/ft-interactive/chart-doctor/tree/master/visual-vocabulary Financial Times Visual Vocabulary] by the Financial Times Visual Journalism Team
*[https://www.r-graph-gallery.com/ The R Graph Gallery] by Y. Holtz
*[http://stephanieevergreen.com/qualitative-chart-chooser-3/ Qualitative Chart Chooser 3.0] by J. Lyons and S. Evergreen
*[http://labs.juiceanalytics.com/chartchooser/index.html Chart Chooser] by Juice Labs
*[https://datavizproject.com Data Viz Project] by ferdio
*[https://www.anychart.com/de/chartopedia/ Chartopedia] by AnyChart
*[https://vistools.net VisBrowser] by University of Edinburgh

== Articles ==
*[http://blog.semanticfoundry.com/2010/04/27/dynamic-visualization-introduction-theory/ Dynamic Visualization: Introduction & Theory] by Will Evans

== Design Patterns ==
*[https://dashboarddesignpatterns.github.io Dashboard Design Patterns]

[[Category:Web resources]]

2023-01-18: EuroVis 2023 Call for Short Papers. (Deadline: February 27, 2023)

2023-01-18T21:42:55Z

Iwolf: Created page with "== EuroVis 2023 Call for Short Papers == https://conferences.eg.org/eurovis2023/for-submitters/short-papers/ * Submission deadline: February 27, 2023 (Monday) * Submission via: https://new.precisionconference.com/eurovis23c EuroVis 2023 features a short paper track to present late-breaking results, work in progress, and follow-up extensions or evaluations of existing methods. A EuroVis short paper describes a more focused and concise research contribution and is..."

== EuroVis 2023 Call for Short Papers ==

https://conferences.eg.org/eurovis2023/for-submitters/short-papers/

* Submission deadline: February 27, 2023 (Monday)
* Submission via: https://new.precisionconference.com/eurovis23c

EuroVis 2023 features a short paper track to present late-breaking results, work in progress, and follow-up extensions or evaluations of existing methods.

A EuroVis short paper describes a more focused and concise research contribution and is likely to have a smaller — yet still significant — scope of contribution than a full paper. Short papers draw from the same paper types as full papers, as well as the same list of suggested topics. The following descriptive examples, which are characterized in contrast to full papers, may be helpful in understanding what kinds of submissions may be suitable for short papers:

* A new visualization technique or system and evidence of its utility compared to known techniques or systems (described in sufficient detail to assist an expert reader in replicating the technique or system, but without exhaustive implementation detail and evaluation).
* An incremental improvement or variation of an existing visualization technique or system with convincing evaluation.
* An extensive evaluation of an existing visualization technique or system.
* A well-proven counter-example to an existing visualization technique that helps to understand its limitations.
* A new implementation approach that has demonstrably addressed a significant technical issue (without extensive evaluation of the implementation).
* A new methodology for designing or studying visualization systems that has demonstrable benefits for the EuroVis community (without extensive evaluation of the methodology).
* The practical application of established visualization techniques or a design study that can provide insights for visualization research on which future contributors can build.

=== Important Dates ===

* Submission deadline: February 27, 2023 (Monday)
* Notification: April 04, 2023 (Tuesday)
* Camera Ready Version: April 18, 2023 (Tuesday)

All deadlines are at 23:59 GMT on the date indicated.

==== Submission Instructions ====

Submissions for the short paper track should be at most 4 pages in CGF latex style, with an additional page allowed for references. All submissions must be original works that have not been published previously in any conference proceedings, magazine, journal, or edited book.

Short papers are to be submitted using the Precision Conference System (PCS):

https://new.precisionconference.com/eurovis23c

Please select Society: Eurographics, Conference/Journal: EuroVis 2023, Track: EuroVis 2023 Short Papers.

Short papers will be peer-reviewed in a one-stage process by an international program committee. Short papers will be electronically archived and are fully citable publications. All accepted short papers will be presented orally at the conference.

For detailed paper preparation and submission instructions please refer to the submission guidelines here:
https://conferences.eg.org/eurovis2023/for-submitters/short-papers/

=== Short Papers Chairs ===

Wolfgang Aigner, St. Pölten University of Applied Sciences, Austria

Thomas Höllt, TU Delft, Netherlands

Bei Wang, University of Utah, United States of America

For any questions concerning short paper submissions please contact the full paper chairs at: shortpapers(at)eurovis.org.

Template:News

2023-01-18T21:39:41Z

Iwolf: added EuroVis SP CFP

<h1 style="padding: 5px, margin-top: 0px !important">'''Latest News'''</h1>
<small>[[Help:How_To_Enter_News|How to enter news?]]</small>













*[[2023-01-18: EuroVis 2023 Call for Short Papers. (Deadline: February 27, 2023)]]
*[[2023-01-13: Job: PostDoc Position in Information Visualization / Visual Analytics at Linnaeus University, Sweden. (Deadline: February 10, 2023 EXTENDED)]]
*[[2023-01-05: Job: PhD Position in Information Visualization / Visual Analytics at Linköping University, Sweden. (Deadline: February 6, 2023)]]
*[[2022-12-08: Job: Senior Lecturer Position in Information Visualization at Linnaeus University, Sweden. (Deadline: January 9, 2023)]]
*[[2022-12-04: Job: PostDoc Position in Information Visualization / Visual Analytics at Linnaeus University, Sweden. (Deadline: January 9, 2023)]]
*[[2022-10-03: CFP: Special Issue of Information Visualization on Visual Text Analytics (Deadline: January 31, 2023)]]
*[[2021-04-28: CFP: AIMH - Symposium on Visualization and Artificial Intelligence for Medicine, Healthcare, and Social Good (Deadline: May 9, 2022 EXTENDED)]]
*[[2022-04-28: Job: PostDoc Position in Information Visualization / Visual Analytics at Linköping University, Sweden. (Deadline: May 20, 2022)]]
*[[2022-01-23: Job: PostDoc Position in Information Visualization / Visual Analytics at Linköping University, Sweden. (Deadline: February 28, 2022)]]
*[[2021-07-01: Job: PhD Position in Information Visualization / Visual Analytics at Linköping University, Sweden. (Deadline: August 20, 2021)]]
*[[2021-04-16: CFP: Information+ 2021, Abstract Submission (Deadline: May 15, 2021)]]
*[[2021-02-08: CFP: GD 2021: 29th International Symposium on Graph Drawing and Network Visualization]]
*[[2021-01-12: CFP: VISSOFT 2021: 9th IEEE Working Conference on Software Visualization]]
*[[2020-10-20: CFP: EuroVis 2021, Short Papers Submission (Deadline: March 1, 2021)]]
*[[2020-09-07: CFP: PacificVIS 2021]]
*[[2020-06-29: CFP: ACM IUI 2021]]
*[[2020-05-07: CFP: VISSOFT 2020: 8th IEEE Working Conference on Software Visualization]]

[[:Category:News|'''News Archive...''']]

[https://infovis-wiki.net/w/index.php?title=Special:Newpages&namespace=104&feed=rss News as RSS feed]
<br><small>[[InfoVis:Wiki_RSS_Feeds|List of all available RSS feeds]]</small>

EuroVis 2023

2023-01-18T21:35:38Z

Iwolf: added Short Papers

*'''Title''': 25th EG Conference on Visualization 2023
*'''Date:''' June 12 - 16, 2023
*'''Location:''' [[wikipedia:Leipzig| Leipzig]], [[wikipedia:Germany|Germany]]
*'''Proceedings Publisher:''' Computer Graphics Forum, Wiley
*'''Homepage:''' https://www.eurovis.org

=== Full Papers ===
*'''Abstract Submission Deadline:''' November 25, 2022 (Friday)
*'''Paper Submission Deadline:''' December 2, 2022 (Friday)

=== Short Papers ===
*'''Short Paper Submission Deadline:''' February 27, 2022 (Monday)

[[Category:Conferences]]

EuroVis 2023

2023-01-18T17:03:27Z

Iwolf: Created page with "*'''Title''': 25th EG Conference on Visualization 2023 *'''Date:''' June 12 - 16, 2023 *'''Location:''' Leipzig, Germany *'''Proceedings Publisher:''' Computer Graphics Forum, Wiley *'''Homepage:''' https://www.eurovis.org *'''Abstract Submission Deadline:''' November 25, 2022 (Friday) *'''Paper Submission Deadline:''' December 2, 2022 (Friday) Category:Conferences"

*'''Title''': 25th EG Conference on Visualization 2023
*'''Date:''' June 12 - 16, 2023
*'''Location:''' [[wikipedia:Leipzig| Leipzig]], [[wikipedia:Germany|Germany]]
*'''Proceedings Publisher:''' Computer Graphics Forum, Wiley
*'''Homepage:''' https://www.eurovis.org

*'''Abstract Submission Deadline:''' November 25, 2022 (Friday)
*'''Paper Submission Deadline:''' December 2, 2022 (Friday)

[[Category:Conferences]]

Template:Conferences

2023-01-18T16:59:54Z

Iwolf: added EuroVis

<h1 style="padding: 5px">Upcoming Events</h1>
<small>[[Help:How_To_Enter_Events|How to enter events?]]</small>
*[[EuroVis 2023]]: June 12-16, 2023, Leipzig, Germany. EG Conference on Visualization ('''EuroVis''').
[[Category: Conferences]]

Interactive Online Surveys

2022-05-30T08:31:12Z

Iwolf: added Regvis

== Visual Surveys ==

*[https://amitjenaiitbm.github.io/uncertaintyVizBrowser/ The UncertaintyVis Browser]
*[https://trustmlvis.lnu.se TrustMLVis Browser: A Visual Survey in Enhancing Trust in Machine Learning (ML) Models with Visualization]
*[http://keshif.me/demo/VisTools Data-Visualization Tools & Books] Very comprehensive interactive browser for 400+ visualization tools and 80+ visualization books
*[http://dynamicgraphs.fbeck.com Dynamic Graph Visualization]
*[http://www.setviz.net SetViz: Visualizing Sets and Set-typed Data]
*[http://spacetimecubevis.com Space-Time Cube Vis: A Review of Temporal Visualizations based on Space-Time Cube Operations]
*[http://survey.timeviz.net The TimeViz Browser: A Visual Survey of Visualization Techniques for Time-Oriented Data]
*[https://textvis.lnu.se Text Visualization Browser: A Visual Survey of Text Visualization Techniques]
*[http://treevis.net treevis.net - A Visual Bibliography of Tree Visualization]
*[http://idav.ucdavis.edu/~ki/STAR/ Performance Visualization]
*[http://multivis.net/ Visualization and Visual Analysis of Multifaceted Scientific Data]
*[http://www.vizipedia.com/ vizipedia - data visualization library]
*[http://datavizcatalogue.com The Data Visualisation Catalogue]
*[https://biovis.lnu.se BioVis Explorer: A Visual Guide to BioVis Techniques]
*[http://ieg.ifs.tuwien.ac.at/~federico/LiPatVis/ PaperViz.org - A Survey on Visual Approaches for Analyzing Scientific Literature and Patents]
*[http://sparklines-literature.fbeck.com Sparklines Literature]
*[https://sentimentvis.lnu.se SentimentVis Browser: A Visual Survey of Sentiment Visualization Techniques]
*[http://financevis.net Financevis.net: A Visual Survey of Financial Data Visualizations]
*[http://dataphys.org/list/ List of Physical Visualizations and Related Artifacts]
*[http://www.datavis.ca/milestones/ Data Visualisation Milestones]
*[http://www.sci.utah.edu/~shusenl/highDimSurvey/website/ Visualizing High-Dimensional Data: Advances in the Past Decade]
*[http://groups-in-graphs.corinna-vehlow.com Visualizing Group Structures in Graphs]
*[http://www.cos.ufrj.br/~schots/survis_reuse/ Visualization of Software Reuse]
*[http://matrixreordering.dbvis.de/#/ Matrix Reordering Survey]
*[http://cartogram.cs.arizona.edu/survis-cartogram/ The State of the Art in Cartograms]
*[https://docs.google.com/spreadsheets/d/1yJkf-Nt0kel8hojLZJQiJeWR5Qc-HHqvKvpRDVrfc9g/edit#gid=0 Visualization & Interactive Surfaces]
*[https://www.data-to-viz.com From Data to Viz] leads you to the most appropriate graph for your data. It links to the code to build it and lists common caveats you should avoid.
*[https://vizsec.dbvis.de/ Visualization for Cyber Security]
*[https://regvis.net/ Regvis - A Visual Bibliography of Regulatory Visualization]

[[Category:Web resources]][[Category:Surveys]]

Information Visualization Links

2021-07-12T12:53:01Z

Iwolf: added VisBrowser /* Chart Chooser / Chart Type Overviews */

Color

2020-09-16T13:28:33Z

Iwolf: added Colorgorical

*[http://vis4.net/blog/posts/avoid-equidistant-hsv-colors/ How To Avoid Equidistant HSV Colors] via vis4.net (by Gregor Aisch)
*[http://tools.medialab.sciences-po.fr/iwanthue/ Colors for data scientists. Generate and refine palettes of optimally distinct colors.] via iWantHue
*[http://www.visualisingdata.com/index.php/2013/08/tools-and-resources-for-working-with-colour/ Essential Resources: Tools and references for working with colour] (by Andy Kirk)
*[http://colorbrewer2.org/ Color Brewer: Color Advice for Maps] (by Cynthia Brewer, Mark Harrower and The Pennsylvania State University)
*[https://github.com/SebastianMittelstaedt/ColorCAT ColorCAT] A Java tool that helps you to design colormaps for your data visualization (by Sebastian Mittelstädt)
*[http://hclwizard.org HCL Wizard] Provides an interactive online tool which allows everyone to create effective HCL color maps and integrate them in their personal workflow (by Achim Zeileis)
*[https://www.colorbox.io ColorBox] Colorbox is a color tool to produce color sets.
*[http://vrl.cs.brown.edu/color Colorgorical] built by Connor Gramazio with advisement from David Laidlaw and Karen Schloss.

[[Category:Web resources]]

Color

2020-09-16T13:27:53Z

Iwolf: added Colorgorical

*[http://vis4.net/blog/posts/avoid-equidistant-hsv-colors/ How To Avoid Equidistant HSV Colors] via vis4.net (by Gregor Aisch)
*[http://tools.medialab.sciences-po.fr/iwanthue/ Colors for data scientists. Generate and refine palettes of optimally distinct colors.] via iWantHue
*[http://www.visualisingdata.com/index.php/2013/08/tools-and-resources-for-working-with-colour/ Essential Resources: Tools and references for working with colour] (by Andy Kirk)
*[http://colorbrewer2.org/ Color Brewer: Color Advice for Maps] (by Cynthia Brewer, Mark Harrower and The Pennsylvania State University)
*[https://github.com/SebastianMittelstaedt/ColorCAT ColorCAT] A Java tool that helps you to design colormaps for your data visualization (by Sebastian Mittelstädt)
*[http://hclwizard.org HCL Wizard] Provides an interactive online tool which allows everyone to create effective HCL color maps and integrate them in their personal workflow (by Achim Zeileis)
*[https://www.colorbox.io ColorBox] Colorbox is a color tool to produce color sets.
*[http://vrl.cs.brown.edu/color] Colorgorical

[[Category:Web resources]]

User talk:Amitjenaiitbm

2020-06-01T21:44:34Z

Iwolf: Welcome!

'''Welcome to ''InfoVis:Wiki''!'''
We hope you will contribute much and well.
You will probably want to read the [https://www.mediawiki.org/wiki/Special:MyLanguage/Help:Contents help pages].
Again, welcome and have fun! [[User:Iwolf|Wolfgang Aigner]] ([[User talk:Iwolf|talk]]) 23:44, 1 June 2020 (CEST)

User:Amitjenaiitbm

2020-06-01T21:44:34Z

Iwolf: Creating user page for new user.

I am a PhD student at IITB-Monash Research Academy, Mumbai, India. I am associated with IDC School of Design, IIT Bombay, India and Faculty of IT, Monash University, Australia. My research interest is designing and evaluating user interfaces and visualisations for the masses. I am interested in how people interpret visualisations, and how visualisations can be used for communicating complex information to non-experts.

Visual Analytics PhD student; Diversity Committee, Data Visualization Society; Chair, IITB SIGCHI Student chapter.

Interactive Online Surveys

2020-06-01T21:42:24Z

Iwolf: added UncertaintyVis Browser

Information Visualization Links

2020-02-20T12:03:25Z

Iwolf: added Chartopedia

== Chart Chooser / Chart Type Overviews ==
*[http://www.datavizcatalogue.com The Data Visualisation Catalogue] by Severino Ribecca
*[https://www.anychart.com/chartopedia Chartopedia: Your guide for choosing the right chart types]
*[https://extremepresentation.typepad.com/blog/2006/09/choosing_a_good.html Choosing a good chart] by A. Abela
*[http://excelcharts.com/classification-chart-types/ A classification of chart types] by Jorge Camoes
*[https://chart.guide/ Chart.Guide] by M. Dullaert
*[https://datavizproject.com/ Data Viz Project] by ferdio
*[https://github.com/ft-interactive/chart-doctor/tree/master/visual-vocabulary Financial Times Visual Vocabulary] by the Financial Times Visual Journalism Team
*[https://www.r-graph-gallery.com/ The R Graph Gallery] by Y. Holtz
*[http://stephanieevergreen.com/qualitative-chart-chooser-3/ Qualitative Chart Chooser 3.0] by J. Lyons and S. Evergreen
*[http://labs.juiceanalytics.com/chartchooser/index.html Chart Chooser] by Juice Labs
*[https://datavizproject.com Data Viz Project] by ferdio
*[https://www.anychart.com/de/chartopedia/ Chartopedia] by AnyChart

== Articles ==
*[http://blog.semanticfoundry.com/2010/04/27/dynamic-visualization-introduction-theory/ Dynamic Visualization: Introduction & Theory] by Will Evans

[[Category:Web resources]]

Information Visualization Links

2020-02-17T16:01:31Z

Iwolf: /* Chart Chooser / Chart Type Overviews */

== Chart Chooser / Chart Type Overviews ==
*[http://www.datavizcatalogue.com The Data Visualisation Catalogue] by Severino Ribecca
*[https://www.anychart.com/chartopedia Chartopedia: Your guide for choosing the right chart types]
*[https://extremepresentation.typepad.com/blog/2006/09/choosing_a_good.html Choosing a good chart] by A. Abela
*[http://excelcharts.com/classification-chart-types/ A classification of chart types] by Jorge Camoes
*[https://chart.guide/ Chart.Guide] by M. Dullaert
*[https://datavizproject.com/ Data Viz Project] by ferdio
*[https://github.com/ft-interactive/chart-doctor/tree/master/visual-vocabulary Financial Times Visual Vocabulary] by the Financial Times Visual Journalism Team
*[https://www.r-graph-gallery.com/ The R Graph Gallery] by Y. Holtz
*[http://stephanieevergreen.com/qualitative-chart-chooser-3/ Qualitative Chart Chooser 3.0] by J. Lyons and S. Evergreen
*[http://labs.juiceanalytics.com/chartchooser/index.html Chart Chooser] by Juice Labs
*[https://datavizproject.com Data Viz Project] by ferdio

== Articles ==
*[http://blog.semanticfoundry.com/2010/04/27/dynamic-visualization-introduction-theory/ Dynamic Visualization: Introduction & Theory] by Will Evans

[[Category:Web resources]]

Information Visualization Links

2020-02-17T16:01:14Z

Iwolf: added datavizproject.com /* Chart Chooser / Chart Type Overviews */

== Chart Chooser / Chart Type Overviews ==
*[http://www.datavizcatalogue.com The Data Visualisation Catalogue] by Severino Ribecca
*[https://www.anychart.com/chartopedia Chartopedia: Your guide for choosing the right chart types]
*[https://extremepresentation.typepad.com/blog/2006/09/choosing_a_good.html Choosing a good chart] by A. Abela
*[http://excelcharts.com/classification-chart-types/ A classification of chart types] by Jorge Camoes
*[https://chart.guide/ Chart.Guide] by M. Dullaert
*[https://datavizproject.com/ Data Viz Project] by ferdio
*[https://github.com/ft-interactive/chart-doctor/tree/master/visual-vocabulary Financial Times Visual Vocabulary] by the Financial Times Visual Journalism Team
*[https://www.r-graph-gallery.com/ The R Graph Gallery] by Y. Holtz
*[http://stephanieevergreen.com/qualitative-chart-chooser-3/ Qualitative Chart Chooser 3.0] by J. Lyons and S. Evergreen
*[http://labs.juiceanalytics.com/chartchooser/index.html Chart Chooser] by Juice Labs
*[https://datavizproject.com Data Viz Project] by ferris

== Articles ==
*[http://blog.semanticfoundry.com/2010/04/27/dynamic-visualization-introduction-theory/ Dynamic Visualization: Introduction & Theory] by Will Evans

[[Category:Web resources]]

Shneiderman, Ben

2019-11-29T11:14:40Z

Iwolf: Removed spam

[[Image:Shneiderman_ben.jpg|right|Ben Shneiderman]]
== Biography ==
'''Ben Shneiderman''' is a professor in the department of computer science, founding director of the human–computer–interaction laboratory, and member of the institute for advanced computer studies and the institute for systems research, all at the university of Maryland at College Park. He has taught previously at the State University of New York and at Indiana University

He got a B.S. in Mathematics/Physics from the City College of New York in 1968, and then went on to study at the State University of New York at Stony Brook, where he received an M.S. in Computer Science in 1972 and graduated with a Ph.D. in 1973. In addition to his influential work in user interface design, he is known for the co-invention (together with Isaac Nassi) of the Nassi-Shneiderman diagrams, a graphical representation of the design of structured software
In ''1997'' '''Ben Shneiderman''' was inducted as a Fellow of the ''Association for Computing Machinery''.

In ''2002'' his book ''Leonardo’s Laptop: Human Needs and the New Computing Technologies'' was Winner of a ''IEEE-USA Award for Distinguished Contributions Furthering Public Understanding of the Profession''.

He also defined the research area of universal usability to encourage greater attention to diverse users, languages, cultures, screen sizes, network speeds, and technology platforms.

== Affiliations ==
'''current:'''
*''Professor, Computer Science (1989- )
*''Member, Institute for Systems Research (1991- ).
*''Member, Institute for Advanced Computer Studies (1987-1991, 1997- )
*''Fellow of the ACM since 1997
*''Fellow of the American Association for the Advancement of Science since 2001

'''previous:'''
*''Institute for Advanced Computer Studies (1996-2000)
*''Center for Automation Research (1983-1996)
*''Founding Director (1983-2000) of the Human-Computer Interaction Laboratory
*''Computer Science Advisor (1999-2002) to Smartmoney

== Main Interests ==
*''user interface design
*''human-computer interaction
*''human factors of designing user interfaces
*'' information visualization
*'' interactive information systems

== Prominent Ideas ==
*''[[http://www.infovis-wiki.net/index.php/LifeLines Lifelines-Technique]]
*''Hyperties (Hypertext-System)

== Publications ==
*'' Software Psychology: Human Factors in Computer and Information Systems; Little, Brown and Co. (1980)
*'' Designing the User Interface: Strategies for Effective Human-Computer Interaction, 1st edition. Addison-Wesley (1987)
*'' [http://www.cs.umd.edu/hcil/members/bshneiderman/ijhcs/main.html Designing Information-Abundant Websites (1997)]
*'' [ftp://ftp.cs.umd.edu/pub/hcil/Reports-Abstracts-Bibliography/97-17html/97-17.html Relate-Create-Donate: A teaching/learning philosophy for the cyber-generation (1997)]
*''
*''[[Card%2C_S._and_Mackinlay%2C_J._and_Shneiderman%2C_B.:_Readings_in_Information_Visualization_-_Using_Vision_to_Think%2C_Morgan_Kaufmann%2C_1999|Readings in Information Visualization - Using Vision to Think, 1999]]
*'' [ftp://ftp.cs.umd.edu/pub/hcil/Reports-Abstracts-Bibliography/2000-06html/2000-06.html Direct Annotation: A Drag-and-Drop Strategy for Labeling Photos (2000)]
*'' [http://www.cs.umd.edu/~ben/p63-shneidermanSept2000CACMf.pdf The Limits of Speech Recognition (2000)]
*'' [http://www.cs.umd.edu/~ben/p84-shneiderman-May2000CACMf.pdf Universal Usability: Pushing Human-Computer Interaction Research to Empower Every Citizen (2000)]
*'' Leonardo's Laptop: Human Needs and the New Computing Technologies (2002)
*'' [http://www.cs.umd.edu/hcil/members/bshneiderman/ACM-Sept11-8.doc ACM's Computing Professionals Face New Challenges (A response to Sept 11) (2002)]
*'' [http://www.cs.umd.edu/~ben/ACM-CUU2003.pdf Promoting Universal Usability with Multi-Layer Interface Design (2003)]
*'' [http://www.cs.umd.edu/~ben/IEEE-CGA-3D-Nov2003.pdf Why Not Make Interfaces Better than 3D Reality? (2003)]
*'' [http://www.cs.umd.edu/~ben/ACM-interactions-Design_p17-23.pdf A Photo History of SIGCHI: Evolution of Design from Personal to Public (2003)]
*'' [http://www.cs.umd.edu/~ben/Fun-p48-shneiderman.pdf Designing for Fun: How Can We Design User Interfaces to Be More Fun? (2004)]
*'' Strategies for Effective Human-Computer Interaction (2004)
*'' [http://www.cs.umd.edu/~ben/Chen-InfoViz-book-foreword.pdf Foreword: Information Visualization: Beyond the Horizon (Chen, 2004)]
*'' Designing the User Interface: Strategies for Effective Human-Computer Interaction, 5th edition. With C. Plaisant. Addison-Wesley (2009)

== Internal Links ==
*''[[http://www.infovis-wiki.net/index.php/LifeLines Lifelines-Technique]]

== External Links ==
*''[http://www.cs.umd.edu/~ben/ Homepage] [http://www.geldspielautomaten.tv/ Onlineautomaten]
*''[http://en.wikipedia.org/wiki/Ben_Shneiderman Wikipedia]
*''[http://de.wikipedia.org/wiki/Ben_Shneiderman Wikipedia (in German)]
*''[http://www.cs.umd.edu/hcil/members/bshneiderman/nsd/ Nassi-Shneiderman Diagrams]

== Contact Informations ==
Email: ben(at)cs.umd.edu<br>
A. V. Williams Building, Department of Computer Science<br>
University of Maryland, College Park, MD 20742 <br>
Phone: (301) 405-2680 Fax: (301) 405-6707<br>
[[Category:Persons]]

User talk:Pyn

2019-07-10T10:05:55Z

Iwolf: Welcome!

User:Pyn

2019-07-10T10:05:55Z

Iwolf: Creating user page for new user.

I am a student of Central South University, applying for this account mainly to help the teacher release conference information.

User talk:111111

2019-05-28T10:53:22Z

Iwolf: Welcome!

User:111111

2019-05-28T10:53:22Z

Iwolf: Creating user page for new user.

I am a PhD in Central South University. Just assist the teacher to release some information about the conference some times.

User talk:Oana.inel

2019-05-28T10:52:27Z

Iwolf: Welcome!

User:Oana.inel

2019-05-28T10:52:27Z

Iwolf: Creating user page for new user.

Postdoctoral Researcher in the Web Information Systems group at Delft University of Technology, working on the Responsible Data Science track in the Digital Society research programme.

User talk:Hjschulz

2019-05-28T10:50:25Z

Iwolf: Welcome!

User:Hjschulz

2019-05-28T10:50:25Z

Iwolf: Creating user page for new user.

I am an associate professor at the Department of Computer Science at Aarhus University in Denmark. I received my doctorate degree in 2010 from the University of Rostock, Germany and have since worked there in various capacities with a number of intermittent research stays at TU Graz, University of Calgary, and Fraunhofer IGD. In 2018, I moved to Aarhus where I work in the fields of Information Visualization and Visual Analytics.

My research focuses on novel methods for the visual analysis of structured data — in particular hierarchically and network-structured data, but also data that is organized by spatio-temporal relations or similarity. In collaboration with industrial and academic research partners, I apply my methods predominantly to data analysis challenges in the life sciences and geosciences. In my spare time, I collect tree visualizations at treevis.net.

User talk:HoudaLamqaddam

2019-04-30T11:11:24Z

Iwolf: Welcome!