Категория:Visualization: различия между версиями

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(bioinformatics)
(finance)
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== finance ==
 
== finance ==
 
*http://dygraphs.com/gallery
 
*http://dygraphs.com/gallery
 +
*http://vega.github.io/
 +
Vega is a declarative format for creating, saving, and [[Design data exchange formats|sharing]] visualization designs. With Vega, visualizations are described in JSON, and generate interactive views using either HTML5 [[aw:Canvas]] or [[aw:SVG]]. Is used in MediaWiki https://www.mediawiki.org/wiki/Extension:Graph
 +
 
== bioinformatics ==
 
== bioinformatics ==
 
*[http://software.broadinstitute.org/software/igv/ igv] - desktop tool for interactive exploration of large, integrated genomic datasets
 
*[http://software.broadinstitute.org/software/igv/ igv] - desktop tool for interactive exploration of large, integrated genomic datasets
 
*[http://www.bioconductor.org/packages/2.11/bioc/html/ggbio.html ggbio] ... Learning to use genome browsers, track formats (BED, WIG, GTF), and read visualization programs (such as IGV)
 
*[http://www.bioconductor.org/packages/2.11/bioc/html/ggbio.html ggbio] ... Learning to use genome browsers, track formats (BED, WIG, GTF), and read visualization programs (such as IGV)
 
*[http://biopython.org/wiki/Getting_Started biopython]
 
*[http://biopython.org/wiki/Getting_Started biopython]

Версия 18:58, 17 февраля 2017

lw:Category:Visualization

How do I Learn Visualization?[править]

  • Color Brewer for intelligent color choices for different problems.
  • ggobi is a useful system for high-dimension visualization.
  • lattice was the first graphics package for R I learned, and even though I use ggplot2 primarily now, it is still useful.

finance[править]

Vega is a declarative format for creating, saving, and sharing visualization designs. With Vega, visualizations are described in JSON, and generate interactive views using either HTML5 aw:Canvas or aw:SVG. Is used in MediaWiki https://www.mediawiki.org/wiki/Extension:Graph

bioinformatics[править]

  • igv - desktop tool for interactive exploration of large, integrated genomic datasets
  • ggbio ... Learning to use genome browsers, track formats (BED, WIG, GTF), and read visualization programs (such as IGV)
  • biopython

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