===== Resources: Data Wrangling Tools ===== To get started with data wrangling, we recommend checking out the tools and courses at [[http://schoolofdata.org/online-resources/|School of Data]]. * Orange https://orangedatamining.com/ * Weka https://ml.cms.waikato.ac.nz/weka/ * R https://www.r-project.org/ * also see [[https://www.pluralsight.com/product/skills-assessment|Try R]], [[https://posit.co/|RStudio]], [[https://stat.ethz.ch/R-manual/|R manual]], [[https://cran.r-project.org/doc/contrib/refcard.pdf|cheat sheet]], [[https://www.datacamp.com/doc/r/category/r-documentation|Stat Methods]] * Weave https://oicweave.org/ * Tableau [[http://www.tableausoftware.com/|tableausoftware.com]] * also see [[http://onlinehelp.tableausoftware.com/v6.1/pro/online/en-us/id10ANB0F0ZHS.html|open data tutorial]], [[https://www.interworks.com/blogs/mike-treadwell/2013/08/29/statistical-insights-using-tableau|statistical insights]] and [[http://www.tableausoftware.com/public/download|Tableau Public]] * AnyChart [[https://www.anychart.com/|www.anychart.com]] Interactive JavaScript/HTML5 charts, maps and dashboards * also see [[https://www.anychart.com/products/anychart/overview/|AnyChart JS Charts library]], [[http://www.anychart.com/products/anycmap/overview|AnyMap JS Maps library]], [[https://www.anychart.com/products/anystock/overview/|AnyStock JS Stock (Date/Time) Charts library]], and [[https://www.anychart.com/products/anygantt/overview/|AnyGantt JS Gantt Charts library]] * Freebase http://www.freebase.com/ * Google Public Data http://www.google.com/publicdata/directory * Google Fusion Tables [[http://www.google.com/fusiontables/Home|http://www.google.com/fusiontables/Home]] * Wolfram Alpha Pro [[http://www.wolframalpha.com/pro/|wolframalpha.com]], [[https://writings.stephenwolfram.com/2012/02/launching-a-democratization-of-data-science/|blog post]] * Many Eyes [[https://www.ibm.com/software|https://www.ibm.com/software]] * NovoSpark [[http://www.novospark.com/Products/Visualizer/OverviewOnline.aspx|novospark.com]] * Gephi [[https://gephi.org/|https://gephi.org/]] * Outwit https://www.outwit.com/ * Time Flow [[http://flowingmedia.com/timeflow.html|http://flowingmedia.com/timeflow.html]] * Google Visualizations [[https://developers.google.com/apis-explorer/?csw=1#column_chart|code.google.com]] - a collection of graphing widgets * Graphviz [[https://graphviz.org/|https://graphviz.org/]] * Cytoscape [[http://cytoscape.org/]] - for complex network visualizations * Open Heat Map [[https://bigtvhd.com/]] * Google Refine [[https://code.google.com/archive/p/google-refine|https://code.google.com/archive/p/google-refine]] * DataWrangler [[http://vis.stanford.edu/wrangler/|http://vis.stanford.edu/wrangler/]] * Quantum Gis [[https://www.qgis.org/|https://www.qgis.org/]] * GeoCommons [[http://geocommons.com/|http://geocommons.com/]] * RStudio [[https://posit.co/|]] * NodeXL [[http://nodexl.codeplex.com/|http://nodexl.codeplex.com/]] Network Overview, Discovery and Exploration for Excel * ZingCharts [[https://www.zingchart.com/|https://www.zingchart.com/]] Create HTML5/Flash/ SVG charts * IfThisThenThat [[https://ifttt.com/|https://ifttt.com/]] * DERI Pipes [[http://pipes.deri.org/|http://pipes.deri.org/]] * Microsoft PowerPivot [[https://www.microsoft.com/en-us/power-platform/products/power-bi/|microsoft.com]] * Stamen Dotspotting [[https://dotspotting.org/]] * Afterquery [[http://afterquery.appspot.com/help]] ===== Tools for data scraping ===== * [[https://addons.mozilla.org/en-US/firefox/addon/dafizilla-table2clipboard/|Dafizilla Table2Clipboard]] Firefox * [[https://chromewebstore.google.com/detail/empty-title/mbigbapnjcgaffohmbkdlecaccepngjd?ucbcb=1|Scraper]] Chrome * [[https://chromewebstore.google.com/detail/table-capture/iebpjdmgckacbodjpijphcplhebcmeop?ucbcb=1|Table Capture]] Chrome * [[http://datatoolbar.com/|Data Toolbar]] IE * [[http://http://www.kimonolabs.com/|Kimono Labs]] Easy web site data extraction on all browsers ===== Tools for data visualisation ===== * [[http://http://whttp://app.raw.densitydesign.org/#%2F|Density Design]] Easy first visualisation using 3d.js