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Traditionally, data analysis has required extensive expertise in math and statistics combined with training in complex software applications like SAS, Matlab, and the R programming language. Recently, however, new technologies and services have emerged that make it possible to work with raw data using web applications with simple visual interfaces. These visually compelling tools allow researchers to quickly see and communicate relationships between diverse trends, like the correlation between weather and burglary.This session will include a brief review of the visualizations built into traditional statistical software packages like R and Matlab followed by a demonstration of three new web-based tools applied to three real research topics.
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Traditionally, data analysis has required extensive expertise in math and statistics combined with training in complex software applications like SAS, Matlab, and the R programming language. Recently, however, new technologies and services have emerged that make it possible to work with raw data using web applications with simple visual interfaces. These visually compelling tools allow researchers to quickly see and communicate relationships between diverse trends, like the correlation between weather and burglary.This session will include a brief review of the visualizations built into traditional statistical software packages like R and Matlab followed by a demonstration of three new web-based tools applied to three real research topics.
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In industry it is always desirable to increase the productivity or reduce the time loss. A beautiful mechanism in which, for the constant input rotation, the forward stroke takes larger time(cutting stroke) than the return stroke(idle stroke).
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Open Data Decentralisation
1.
Open Data
Decentralization just in case there will be no funding Stefan Urbanek stefan.urbanek@gmail.com April 2011 @Stiivi
2.
funding
3.
no funding
no data
4.
decentralization with CKAN -
the Data Hub Software http://ckan.org/
5.
multiple open-data catalogue instances
6.
multiple owners
7.
government authoritative
8.
with curated
aggregations this much is data.gov
9.
funding stops this much
was data.gov
10.
data persists, another
will take gov’s place
11.
Decentralisation: more stable open
data ecosystem
12.
http://ckan.org/
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