> For the complete documentation index, see [llms.txt](https://irosyadi.gitbook.io/irosyadi/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://irosyadi.gitbook.io/irosyadi/data-engineering/data-visualization.md). # Awesome List of Data Visualization Related links:\ 🔗 [Awesome List of Data Visualization](https://github.com/irosyadi/gitbook/blob/master/note/data-visualization/README.md)\ 🔗 [Awesome List of Machine Learning Visualization](https://github.com/irosyadi/gitbook/blob/master/data-engineering/ml-visualization.md)\ 🔗 [Awesome List of Interactive and Explorable Webs](/irosyadi/webapp/interactive-explorable-web.md)\ 🔗 [Interactive Books](https://github.com/irosyadi/gitbook/blob/master/book/interactive-book/README.md) ## Visualization eBook * [Data Visualization by Kieran Healy](https://socviz.co/index.html#preface) License: - * [rougier/scientific-visualization-book: An open access book on scientific visualization using python and matplotlib](https://github.com/rougier/scientific-visualization-book) License: CC-BY-NC * [Python & OpenGL for Scientific Visualization](https://www.labri.fr/perso/nrougier/python-opengl/) License: CC-BY-NC ## Interesting Web Library * [Knightlab](https://cdn.knightlab.com/) * [Datapane Visualization](https://datapane.com/gallery/) ## Text Visualization * [Textvis](https://textvis.lnu.se/) Text Visualization Browser, A Visual Survey of Text Visualization Techniques * [Eurographics: European Association for Computer Graphics](https://diglib.eg.org/handle/10.1111/cgf14034) ## Data Visualization Blog * [Martin Krzywinski Web](https://mkweb.bcgsc.ca/update/) * [Data Visualization and the Modern Imagination - Spotlight at Stanford](https://exhibits.stanford.edu/dataviz/) ## Time Series Visualization * [Plot Juggler](https://github.com/facontidavide/PlotJuggler) : time series visualization * [uPlot](https://github.com/leeoniya/uPlot) * [KST Plot](https://kst-plot.kde.org/) ## Web Visualization * [A Visualization Grammar - Vega](https://vega.github.io/vega/) * [Charts.css](https://chartscss.org/) * [Chartist - Simple responsive charts](https://gionkunz.github.io/chartist-js/) * [Altair: Declarative Visualization in Python—Altair 4.1.0 documentation](https://altair-viz.github.io/) ## Visualization Tools * [Data Visualization & Infographics Tools Directory—Cool Infographics](https://coolinfographics.com/tools-directory) * * [Riverspirit's MPLG](https://everydayanchovies.github.io/mplg/mplg) MATPLOTLIB GUI ## Data Visualization * [Superset](https://superset.apache.org/) Open source data visualization and business intelligence ## Visualization Examples * [Visualization Periodic Table](https://letsandeepio.github.io/viz-method-table/) or [Visual Literacy](https://www.visual-literacy.org/periodic_table/periodic_table.html#) * [Beautiful Data Science and Visualisation | Data Crayon](https://datacrayon.com/) ## Interactive Visualization * [Iceberger](https://joshdata.me/iceberger.html) Draw an iceberg and see how it will float. * [Iceberger](https://iceberger.boomla.net/) ## Visualization and Complexity * [Complexity Explained](https://complexityexplained.github.io/) * [Complexity Explorables - Complexity Explorables](https://www.complexity-explorables.org/) ## Visualization and Interactive * [Nodes–a new way to create with code - https://nodes.io](https://nodes.io/) * [cables](https://cables.gl/) ## Visualization * [WebPlotDigitizer - Extract data from plots, images, and maps](https://automeris.io/WebPlotDigitizer/index.html) inverse visualization * [Moniker–Projects](https://studiomoniker.com/projects) * [Introduction to data visualisation–GSS](https://gss.civilservice.gov.uk/policy-store/introduction-to-data-visualisation/) ## Visualization * [A High-Level Grammar of Interactive Graphics - Vega-Lite](https://vega.github.io/vega-lite/) * [nalgeon/dataviz: Data visualization guide for presentations, reports, and dashboards](https://github.com/nalgeon/dataviz) License: CC-BY Source: [IBCS Standards • IBCS - International Business Communication Standards](https://www.ibcs.com/standards/) ## Visualization * [Bartosz Ciechanowski](https://ciechanow.ski/archives/) * [Jacob O'Neal](https://jacoboneal.com/) * [Explained Visually](https://setosa.io/ev/) ## Visualization * [Data Structure Visualization](https://www.cs.usfca.edu/~galles/visualization/Algorithms.html) ## Visualization * [Scimago Graphica](https://graphica.app/) Visualization Software ## Excel Visualization * [Home - RAWGraphs](https://rawgraphs.io/) ## Data Visualization * [Flourish - Data Visualization & Storytelling](https://flourish.studio/) * [TextFrame](https://textframe.app/) ## Math Visualization * [Fourier Coefficients : MIT Mathlets](https://mathlets.org/mathlets/fourier-coefficients/) * [Fourier Cube](https://static.laszlokorte.de/fourier/) * [Mafs: React components for math visualization](https://mafs.dev/) * [Math Inspector - A visual programming environment for scientific computing with numpy and scipy](https://mathinspector.com/) ## Visualization * [The Science of Visual Data Communication: What Works - Steven L. Franconeri, Lace M. Padilla, Priti Shah, Jeffrey M. Zacks, Jessica Hullman, 2021](https://journals.sagepub.com/stoken/default+domain/10.1177%2F15291006211051956-FREE/full#.YbpbbYlu2Xw.twitter) ## Scientific Data Visualization * [Data visualization: A view of every Points of View column : Methagora](http://blogs.nature.com/methagora/2013/07/data-visualization-points-of-view.html) * [The Science of Visual Data Communication: What Works - Steven L. Franconeri, Lace M. Padilla, Priti Shah, Jeffrey M. Zacks, Jessica Hullman, 2021](https://journals.sagepub.com/stoken/default+domain/10.1177%2F15291006211051956-FREE/full#.YbpbbYlu2Xw.twitter) ## Visualization * [Archives - Bartosz Ciechanowski](https://ciechanow.ski/archives/) * [3Blue1Brown](https://www.3blue1brown.com/) ## Visualization * [Tabletop Whale](http://tabletopwhale.com/index.html) ## Visualization App * [RAWGraphs](https://www.rawgraphs.io/) ## Visualization * [Physics Notes](https://landgreen.github.io/physics/index.html) * [Math, Physics, and Engineering Applets](http://www.falstad.com/mathphysics.html) * [HyperPhysics](http://hyperphysics.phy-astr.gsu.edu/hbase/hframe.html) * [Fowler's Physics Applets](http://galileoandeinstein.physics.virginia.edu/more_stuff/Applets/home.html) * ## 2D Design Programming * [PixiJS](https://pixijs.com/) Create beautiful digital content with the fastest, most flexible 2D WebGL renderer. * [Welcome to Processing! / Processing.org](https://processing.org/) Processing is a flexible software sketchbook and a language for learning how to code. * [Context Free Art](https://www.contextfreeart.org/) * [Graphtoy](https://graphtoy.com/) HTML Graph visualization * [Shadertoy BETA](https://www.shadertoy.com/) ## Hardware Visualization Animation * [NW.js](https://nwjs.io/) * [Involt/Involt: Inject hardware interactions directly into HTML layout.](https://github.com/Involt/Involt) * [Involt - Arduino to html prototyping framework for designers.](http://involt.github.io/index.html) ## Data Visualization * [Marple - Data analysis platform for engineering teams](https://www.marpledata.com/) * [FlowingData - Data Visualization and Statistics](https://flowingdata.com/) * [Junk Charts](https://junkcharts.typepad.com/junk_charts/) * [Home - Jim Vallandingham](https://vallandingham.me/) * [Datavisualization.ch](https://datavisualization.ch/) * [The Chartmaker Directory](http://chartmaker.visualisingdata.com/) * [Data Viz Project - Collection of data visualizations to get inspired and finding the right type.](https://datavizproject.com/) * [The Data Visualisation Catalogue](https://datavizcatalogue.com/index.html) * [Charts](http://visualizationuniverse.com/charts/) * [Magic Ink: Information Software and the Graphical Interface](http://worrydream.com/MagicInk/) * [DataVis.ca](https://www.datavis.ca/index.php) * [Python Graph Gallery](https://www.python-graph-gallery.com/) * [Plotly Python Graphing Library](https://plotly.com/python/) ## Online Visualization * [Pricing - Create charts and maps with Datawrapper](https://www.datawrapper.de/pricing) * [Dash Documentation & User Guide - Plotly](https://dash.plotly.com/) * [Visualizations - datamatic.io](https://datamatic.io/) * [Online Chart & Graph Maker- LiveGap](https://charts.livegap.com/#TypesofCharts) * [Charts - Google Developers](https://developers.google.com/chart/) * [Gist - Data becomes knowledge](https://www.gistapp.com/) * [RAWGraphs](https://www.rawgraphs.io/)