# 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/) --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://irosyadi.gitbook.io/irosyadi/data-engineering/data-visualization.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.