2536 search results for "map"

A Big Data introduction

June 5, 2013
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Since R uses the computer RAM, it may handle only rather small sets of data. Nevertheless, there are some packages that allow to treat larger volumes and the best solution is to connect R with a Big Data environment. This … Continue reading →

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Collecting geocoded tweets with R and Java

June 4, 2013
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Collecting geocoded tweets with R and Java

Number of tweets in different languages posted around GermanyThere are many thing one can do with tweets (sentiment analysis, maps, ...). This entry shows you how you can access the publicly available API using Java and how to analyse the data using R....

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Cosmopolitan Public Spaces

June 2, 2013
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Cosmopolitan Public Spaces

In my PhD and post-doc research projects at the university, I did a lot of research on the new cosmopolitanism together with Ulrich Beck. Our main goal was to test the hypothesis of an “empirical cosmopolitanization”. Maybe the term is confusing and too abstract, but what we were looking for were quite simple examples

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Facet wrapping multivariate data: reshape and ggplot

June 2, 2013
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Facet wrapping multivariate data: reshape and ggplot

A common problem when trying to show data is that the attributes that you want to map for comparison are stored in multiple rather than single variables. For example, proportion of employment by type. This practical will achieve tis using … Continue reading →

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Grid Search for Free Parameters with Parallel Computing

June 1, 2013
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Grid Search for Free Parameters with Parallel Computing

In my previous post (http://statcompute.wordpress.com/2013/05/25/test-drive-of-parallel-computing-with-r) on 05/25/2013, I’ve demonstrated the power of parallel computing with various R packages. However, in the real world, it is not straight-forward to utilize these powerful tools in our day-by-day computing tasks without carefully formulate the problem. In the example below, I am going to show how to use the

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Flotsam 12: early June linkathon

June 1, 2013
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A list of interesting R/Stats quickies to keep the mind distracted: A long draft Advanced Data Analysis from an Elementary Point of View by Cosma Shalizi, in which he uses R to drive home the message. Not your average elementary point of view. Good notes by Frank Davenport on starting using R with data from

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The arteries of the world, in Tweets

May 31, 2013
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The arteries of the world, in Tweets

What happens when you plot billions of geotagged Tweets on a map? You can see the arteries of the world. Here's Europe: According to creator Miguel Rios (Engineering Manager, Data Visualization at Twitter), the dots on this chart represent every geotagged Tweet since 2009. The color represents number of tweets in the region, and the intensity shows where people...

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accurate ABC: comments by Oliver Ratman [guest post]

May 31, 2013
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accurate ABC: comments by Oliver Ratman [guest post]

Here are comments by Olli following my post: I think we found a general means to obtain accurate ABC in the sense of matching the posterior mean or MAP exactly, and then minimising the KL distance between the true posterior and its ABC approximation subject to this condition. The construction works on an auxiliary probability

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Couch, apis and all that

May 30, 2013
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It is getting easier to get data directly into R from the web. Often R packages that retrieve data from the web return useful R data structures like a data.frame or plot. This is a good thing of course to make things user friendly. However, what if you want to drill down into the data that's returned from a query...

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Shiny talk by Joe Cheng

May 29, 2013
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Shiny talk by Joe Cheng

Shiny is a framework work for creating web applications with R. Joe Cheng of RStudio, Inc. presented on Shiny last evening in Zillow's offices 30 stories up in the former WaMu Center. Luckily, the talk was interesting enough to compete with the view ...

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