Interactive data visualization: Difference between revisions

Revision as of 22:57, 15 May 2015

Revision as of 22:59, 15 May 2015

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==Commonly Available Software==

* [[shiny]] is making is possible to create web apps very easily, that can contain interactive graphics, but mostly provides the GUI elements and reactivity to produce interactions.

Commonly Available Software

* [[ggvis]] is an emerging R package for creating interactive graphics, building from a grammar of graphics. It generates plots written in javascript, and depends on the vega javascript libraries.

shiny is making is possible to create web apps very easily, that can contain interactive graphics, but mostly provides the GUI elements and reactivity to produce interactions.

ggvis* [[animint]] is an emerging R package forthat creatingtakes interactiveggplot2 graphics, buildingconverts fromthem a grammar of graphics. It generates plots written into javascript, andto depends on the vega javascriptprovide librariesinteraction.

* cranvas (http://cranvas.org) is an R package built upon Qt libraries. It is designed to plot reasonably large amounts of data, and various different types of data.

animint is an R package that takes ggplot2 graphics, converts them to javascript to provide interaction.

* [[d3.js]] is lower level javascript routines for creating interactive graphics for data.

cranvas (http://cranvas.org) is an R package built upon Qt libraries. It is designed to plot reasonably large amounts of data, and various different types of data.

d3.js is lower level javascript routines for creating interactive graphics for data.

iplots is an R package for creating interactive plots using RJava.

* [[GGobi]] is software for interactive graphics for multivariate real-valued data. It is written in C, and was actively developed between 1998-2001. There is an R package, rggobi, which provides some dual access to data structures from R.

* [[Mondrian]] is Java software for interactive graphics for multivariate data. It can handle a mix of variable types.

* MANET is software for interactive graphics for multivariate data, that can handle mixed data types. It is written in C++ using apply graphics libraries, and although it is not in general use, formed the inspiration for Mondrian.

* [[LispStat]] was Lisp software for statistical analysis that had both interactive graphics and modeling capabilities. Other software packages for particular purposes was built on it: Vista for psychometric data, Arc for regression diagnostics.

* [[Datadesk]] was software for statistical analysis that had both interactive graphics and modeling capabilities.

==References==