e-Xploration
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e-Xploration
antropologiaNet, dataviz, collective intelligence, algorithms, social learning, social change, digital humanities
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District Data Labs - How to Transition from Excel to #R | #datascience

District Data Labs - How to Transition from Excel to #R | #datascience | e-Xploration | Scoop.it
How to Transition from Excel to R - An Intro to R for Microsoft Excel Users
luiy's insight:

In today's increasingly data-driven world, business people are constantly talking about how they want more powerful and flexible analytical tools, but are usually intimidated by the programming knowledge these tools require and the learning curve they must overcome just to be able to reproduce what they already know how to do in the programs they've become accustomed to using. For most business people, the go-to tool for doing anything analytical is Microsoft Excel.

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World Internet Users Statistics #Usage and World Population #Stats

Internet World Stats, Population and Internet Users in all countries and usage in all regions of the world. The Internet Big Picture.

Via Pierre Levy
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Mapping the global #Twitter heartbeat: The geography of Twitter | #datascience

Mapping the global #Twitter heartbeat: The geography of Twitter | #datascience | e-Xploration | Scoop.it
Mapping the global Twitter heartbeat: The geography of Twitter
luiy's insight:

In just under seven years, Twitter has grown to count nearly three percent of the entire global population among its active users who have sent more than 170 billion 140–character messages. Today the service plays such a significant role in American culture that the Library of Congress has assembled a permanent archive of the site back to its first tweet, updated daily. With its open API, Twitter has become one of the most popular data sources for social research, yet the majority of the literature has focused on it as a text or network graph source, with only limited efforts to date focusing exclusively on the geography of Twitter, assessing the various sources of geographic information on the service and their accuracy. More than three percent of all tweets are found to have native location information available, while a naive geocoder based on a simple major cities gazetteer and relying on the user–provided Location and Profile fields is able to geolocate more than a third of all tweets with high accuracy when measured against the GPS–based baseline. Geographic proximity is found to play a minimal role both in who users communicate with and what they communicate about, providing evidence that social media is shifting the communicative landscape

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