Thread by @maartenzam

Starting a hands on class on data visualisation at an arts school tomorrow. I'll just give the students an assignment, and a list of tools. Here are the #dataviz tools
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Category "Desktop GUI": @msexcel . Very good for starters, data manipulation integrated. Limited charts and options, but can be brute forced to produce basically anything

@msexcel Adobe Illustrator: the Graph tool is old and clunky, so many manual edits needed to get where you really want. Upgrade with @datylon Graph tool datylon.com/graph for more chart options and #ai2html for web ready + responsive output ai2html.org
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@msexcel @datylon @qgis: open source Geographical Information System for mapping. Very versatile, with also a lot of plugins. Once you understand geodata a little bit, your go to option for maps qgis.org/en/site/
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@msexcel @datylon @qgis @tableau, @qlik, @MSPowerBI : popular business inteligence software, but not focussed on design. I never use them because of this
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@msexcel @datylon @qgis @tableau @qlik @MSPowerBI Category "Web GUI": @Datawrapper. Best option for quick, basic, responsive charts (also images). Good defaults, nice balance between ease of use and customisation, also does maps datawrapper.de
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@msexcel @datylon @qgis @tableau @qlik @MSPowerBI @Datawrapper @f_l_o_u_r_i_s_h: point and click tool for animated and interactive visualisations. Many templates (including maps), and you can create dataviz slide shows, called stories flourish.studio
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@msexcel @datylon @qgis @tableau @qlik @MSPowerBI @Datawrapper @f_l_o_u_r_i_s_h @RAWgraphs: make less common visualisations (flow, hierarchy, ...) with drag 'n drop. Basic output, that you should style in other tools. Will be upgraded soon rawgraphs.io
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@msexcel @datylon @qgis @tableau @qlik @MSPowerBI @Datawrapper @f_l_o_u_r_i_s_h @rawgraphs @infogram (and other "infographics creation tools"): don't recommend because they sometimes break dataviz rules and may have bad defaults. Not for professionals, in my view infogram.com
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@msexcel @datylon @qgis @tableau @qlik @MSPowerBI @Datawrapper @f_l_o_u_r_i_s_h @rawgraphs @infogram Category "Web dev". @d3js_org: the standard js library for online data visualisation. Very versatile, but also steep learning curve. Drives many visualisation tools under the hood d3js.org
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@msexcel @datylon @qgis @tableau @qlik @MSPowerBI @Datawrapper @f_l_o_u_r_i_s_h @rawgraphs @infogram @d3js_org @Highcharts: popular js library, with thousands of chart properties to edit. Also maps, a GUI editor, cms integration, ... highcharts.com
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@msexcel @datylon @qgis @tableau @qlik @MSPowerBI @Datawrapper @f_l_o_u_r_i_s_h @rawgraphs @infogram @d3js_org @Highcharts @vega_vis: language to declare, save and share visualisations, including interactivity. Based on the Grammar of Graphics, so it's quite versatile. Good for creating templates and interchanging chart designs vega.github.io
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@msexcel @datylon @qgis @tableau @qlik @MSPowerBI @Datawrapper @f_l_o_u_r_i_s_h @rawgraphs @infogram @d3js_org @Highcharts @vega_vis @p5js: the Processing language in javascript. Not really dataviz oriented per se, more for creative coding. Can integrate video, webcam, sound p5js.org
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@msexcel @datylon @qgis @tableau @qlik @MSPowerBI @Datawrapper @f_l_o_u_r_i_s_h @rawgraphs @infogram @d3js_org @Highcharts @vega_vis @p5js @LeafletJS: open source slippy maps js (= like Google Maps) library leafletjs.com Related, but not open source: @Mapbox GL js docs.mapbox.com/mapbox-gl-js/a… Both are driven by @openstreetmap data
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@msexcel @datylon @qgis @tableau @qlik @MSPowerBI @Datawrapper @f_l_o_u_r_i_s_h @rawgraphs @infogram @d3js_org @Highcharts @vega_vis @p5js @LeafletJS @Mapbox @openstreetmap Category "dev": #ggplot2. Grammar of Graphics based plots in #Rstats. My bread and butter for static visualisations ggplot2.tidyverse.org
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@msexcel @datylon @qgis @tableau @qlik @MSPowerBI @Datawrapper @f_l_o_u_r_i_s_h @rawgraphs @infogram @d3js_org @Highcharts @vega_vis @p5js @LeafletJS @Mapbox @openstreetmap #Altair: the Python equivalent for ggplot2. Not 100% sure about this, I've never used it :) altair-viz.github.io
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