1223 search results for "maps"

Sentiment Analysis of Uganda Presidential Debate – Using R and Twitter data

February 2, 2016
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Introduction to Digital democracy is here. Social media platforms like Facebook and Twitter are providing inexpensive ways for individuals to engage on political issues, therefore providing a wealth of data that provides insight on an underlying trend that spans both geography and demography. Outbox Uganda carried out a sentiment analysis of Uganda’s first ever presidential debate last month and...

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New Yorkers, municipal bikes, and the weather

January 29, 2016
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New Yorkers, municipal bikes, and the weather

Like many modern cities, New York offers a public pick-up/drop-off bicycle service (called Citi Bikes). Subscribing City Bike members can grab a bike from almost 500 stations scattered around the city, hop on and ride to their destination, and drop the bike at a nearby station. (Visitors to the city can also purchase day passes.) The City Bike program...

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Mapping US Religion Adherence by County in R

January 25, 2016
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Mapping US Religion Adherence by County in R

Today’s guest post is by Julia Silge. After reading Julia’s analysis of religions in America (“This is the Place, Apparently“) I invited her to teach my readers how to map information about US Religious Adherence by County in R. Julia can be found blogging here or on Twitter. I took Ari’s free email course for The post

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Using webp in R: A New Format for Lossless and Lossy Image Compression

January 24, 2016
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Using webp in R: A New Format for Lossless and Lossy Image Compression

A while ago I blogged about the brotli, a new general purpose compression algorithm which Google promotes as an alternative to gzip. The same company also happens to be working on a new format for images called webp, which is actually a derivative of the VP8 video format. Google claims...

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R & GGMap Visualization Case Study

January 21, 2016
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Guest post by Krishna Prasad As a business analyst using R, one has often stumbled across situations for visually representing the data on a map. Here are some common scenarios: ·         Represent the most densely populated cities on a Map ·         Showing the cheapest places to live in ·         Where can one buy a home with the cheapest home Insurance...

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100 “must read” R-bloggers’ posts for 2015

January 20, 2016
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100 “must read” R-bloggers’ posts for 2015

The site R-bloggers.com is now 6 years young. It strives to be an (unofficial) online news and tutorials website for the R community, written by over 600 bloggers who agreed to contribute their R articles to the website. In 2015, the site served almost 17.7 million pageviews to readers worldwide. In celebration to R-bloggers’ 6th birth-month, here are the top 100 most read R posts written...

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Who are Turkopticon’s Top Contributors?

January 19, 2016
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Who are Turkopticon’s Top Contributors?

In my most recent post "Turkopticon: Defender of Amazon's Anonymous Workforce" I introduced Turkopticon, the social art project designed to provide basic tools for Amazon's massive Mechanical TURK workforce to share information about employers (requesters).Turkopticon, has a been a runaway success with nearly 285 thousands reviews submitted by over 17 thousand reviewers since its inception in...

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Visualizing Census Estimate Margins of Error in R

January 18, 2016
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Visualizing Census Estimate Margins of Error in R

A key feature of American Community Survey (ACS) data is that the reported values contain both estimates and margins of error. The margins of error, unfortunately, are often overlooked. After meeting with Ezra Glenn last year I gained a new appreciation of them. Today I’ll demonstrate how to visualize them, as well as how they tend to The post

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Google Geo Data – Data Access Without Restrictions

January 18, 2016
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Google Geo Data – Data Access Without Restrictions

Geo-Distances are of great importance: Researchers from various disciplines refer to geographic distances – health researchers refer to geographic data when analyzing the spread of diseases, economists when evaluating the impact of transaction costs on human behavior, or sociologists when evaluating interpersonal distances (based on external factors) in human interaction. However, each query sent to The post

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Who needs R tutorials? Sharing DataCamp’s user stats and insights.

January 14, 2016
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Who needs R tutorials? Sharing DataCamp’s user stats and insights.

When one builds an online education start-up around R tutorials, the number one criterion to meet is the following: identify an increasing interest in learning R online. Once this box is checked, it is time to start thinking of the second most important criterion: establish a teaching approach that makes people so excited that they keep coming back to learn more, thereby turning...

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