myBrain: data visualization

Showing posts with label data visualization. Show all posts

Thursday, November 6, 2014

Magic - data from web page

Magic allows users to paste in a URL into a search box, hit a 'Get Data' button and then turns that page into a table of data or API without the need for any training or anything to download or install. What stands out is really the simplicity, the speed and the convenience of the output.
https://magic.import.io/
(from http://www.visualisingdata.com/index.php/2014/11/import-io-magic-turn-webpage-data/ )

Monday, March 3, 2014

Wolfram programming language

More than any other computing language, knowledge about the world is built into the Wolfram Language, which is exactly what powers the WolframAlpha search engine. In addition, functions for seemingly everything — over 5,000 of them — are built right into the language, which enables you to create user interfaces, graphics objects, graphs, and more, programmatically.
“The knowledge graph is a vastly less ambitious project than what we’ve been doing at Wolfram Alpha,” he told VentureBeat when we asked him about its relation to Google’ knowledge projects. “Making the world computable is a much higher bar than being able to generate Wikipedia-style information … a very different thing. What we’ve tried to do is insanely more ambitious.”

http://venturebeat.com/2014/02/24/knowledge-based-programming-wolfram-releases-first-demo-of-new-language-30-years-in-the-making/

http://www.wolfram.com/wolfram-language/
Wolfram Language can graph your Facebook friends ... or the links to your personal website.

Wolfram Language can graph your Facebook friends ... or the links to your personal website.

Tuesday, March 19, 2013

dataVisualization js libs

data visualization libraries:

http://blog.programmableweb.com/2012/03/20/54-data-apis-rapleaf-outside-in-and-factual/

http://www.netmagazine.com/features/top-20-data-visualisation-tools

https://perlitalabs.wordpress.com/2009/11/04/list-of-data-visualization-tools-for-designers-and-developers/

http://selection.datavisualization.ch/

http://datavisualization.ch/tools/13-javascript-libraries-for-visualizations/

online tool:
http://www-958.ibm.com/software/analytics/manyeyes/visualize/salary-data-3/versions/1

Sunday, March 3, 2013

R

R is a free software environment for statistical computing and graphics.

http://www.r-project.org/

R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R.
R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible. The S language is often the vehicle of choice for research in statistical methodology, and R provides an Open Source route to participation in that activity.
One of R's strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed. Great care has been taken over the defaults for the minor design choices in graphics, but the user retains full control.