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The #datascience ecosystem, part 3: Data applications | #openSource #tools

The #datascience ecosystem, part 3: Data applications | #openSource #tools | Public Datasets - Open Data - | Scoop.it
The third part in a series on the data science ecosystem looks at the applications that turn data into insights or models.
luiy's insight:
Open-source tools

Probably because this category has the most ongoing research, there is quite a rich collection of open-source modeling and insights tools. R is an essential tool for most data scientists and works both as a programming language and an interactive environment for exploring data. Octave is a free, open-source port of matlab that works very well. Julia is becoming increasingly popular for technical computing. Stanford has an NLP library that has tools for most standard language processing tasks. Scikit, a machine learning package for python, is becoming very powerful and has implementations of most standard modeling and machine learning algorithms.


In the end, data application tools are what make data scientists incredibly valuable to any organization. They're the exact thing that allows a data scientist to make powerful suggestions, uncover hidden trends and provide tangible value. But these tools simply don't work unless you have good data and unless you enrich, blend and clean that data.
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#datasets | Datamob: Public data put to good use I #opendata

#datasets | Datamob: Public data put to good use I #opendata | Public Datasets - Open Data - | Scoop.it
Datamob: Public data put to good use.

Via Mariana Soffer
luiy's insight:

Datamob currently lists 227 data sources, 165 apps and 66 resources, which are categorized by 67 tags. It's sort of like this:

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Mariana Soffer's curator insight, December 11, 2013 6:52 AM

Datamob aims to show, in a very simple way, how public data sources can be used.

We believe good things happen when governments and public institutions make data available in developer-friendly formats. Things that can help save us from bad government and bad decisions.

We're out to find the good things, and get developers excited about the data.

You can help. Contribute high-quality public data sources and apps. Post a link to the data behind an app. Build an app on top of a data source and post a comment about it.

 

Datamob currently lists 227 data sources, 165 apps and 66 resources, which are categorized by 67 tags. It's sort of like this:

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Applications and datasets from the open government data | #OpenData #OpenGob #dataviz

Applications and datasets from the open government data | #OpenData #OpenGob #dataviz | Public Datasets - Open Data - | Scoop.it
luiy's insight:

As part of the “Open Government Data Switzerland” project, the Swiss Federal Archives and their project partners are operating a central pilot portal providing access to open data from the Swiss authorities (“open government data” or OGD). The pilot portal was launched on 16 September 2013 and is expected to remain online until the end of 2014. The authorities involved in the project are supplying some of their already accessible data for use in the pilot portal. These include a wide variety of data records, such as Swiss municipal boundaries, population statistics, up-to-date camera images of weather in Switzerland, historical documents and a directory of Swiss literature. 

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