1137 search results for "MAPS"

Interactive visualizations with R – a minireview

January 9, 2015
By
2015-01-10 00_34_37-Clipboard

Interactive visualization allows deeper exploration of data than static plots. Javascript libraries such as d3 have made possible wonderful new ways to show data. Luckily the R community has been active in developing R interfaces to some popular javascript libraries to enable R users to create interactive visualizations without knowing any javascript. In this post I have reviewed...

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In case you missed it: December 2014 roundup

January 9, 2015
By

In case you missed them, here are some articles from November of particular interest to R users. R was featured in recent articles in Nature News and Mashable. A recap of the 6th Spanish R Users Conference. R was the recipient of a 2014 "Bossie" award for best open-source big data tools. A fractal Christmas tree created with R....

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What’s your KatRisk Score?

January 8, 2015
By
What’s your KatRisk Score?

by Joseph Rickert KatRisk, a Berkeley based catastrophe modeling company specializing in wind and flood risk, has put three R and Shiny powered interactive demos on their website. Together these provide a nice introduction to the practical aspects of weather based risk modeling and give a good indication of the kinds of data that are important. Two of the...

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Top 77 R posts for 2014 (+R jobs)

January 7, 2015
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Top 77 R posts for 2014 (+R jobs)

R-bloggers.com is 5 years old this month! In celebration, this post share links to the top 77 most read R posts of 2014 (+stats on R-bloggers, + top R jobs for the beginning of 2015)

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Seeing India through Food – An Experiment in Multidimensional Scaling

January 7, 2015
By
Seeing India through Food – An Experiment in Multidimensional Scaling

The ‘Household Consumption of Various Goods and Services in India’ report from the National Sample Survey Office (NSSO), Government of India includes survey data on the monthly per capita quantity of consumption of selected food items. The report is available from http://mospi.nic.in/Mospi_New/Admin/publication.aspx (a registration is required). The per capita quantity of consumption data is provided

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Mapping Seattle Crime

January 6, 2015
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Mapping Seattle Crime

Last week I published a data visualization of San Francisco crime. This week, I’m mapping Seattle crime data. The map above is moderately complicated to create, so I’ll start this tutorial with a simpler case: the dot distribution map. Seattle crime map, simplified version First, we’ll start by loading the data. Note that I already The post

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Automatic Detection of the Language of a Tweet

January 5, 2015
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Two days ago, in my post to extract automatically my own tweets, and to generate some html list, I mentioned that it would be great if there were a function that could be used to distinguish tweets in English, and tweets in French (usually, I tweet in one of those two languages). And one more time, @3wen came to...

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An automatic code to extract tweets (and to produce the “Somewhere else” review)

January 3, 2015
By

A few weeks ago, I ask in a post the (simple) question "dear reader, who are you?" just to know more about the readers of my blog. I found that extremely interesting (even if - to be honest - I was expecting more answers to start a more serious sociological study of the readers of my blog). And an...

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Mapping IPv4 Address (with Hilbert curves) in R

January 2, 2015
By
Mapping IPv4 Address (with Hilbert curves) in R

While there’s an unholy affinity in the infosec commuinty with slapping IPv4 addresses onto a world map, that isn’t the only way to spatially visualize IP addresses. A better approach (when tabluation with bar charts, tables or other standard visualization techniques won’t do) is to map IPv4 addresses into Hilbert space-filling curve. You can get a good feel...

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Happy New Year! A look at the top posts from 2014.

January 1, 2015
By

Happy New Year everyone! Another year has come and gone, and this blog has just entered its seventh year of publication. (Once again, I missed the anniversary back on December 9.) Thanks to everyone who has supported this blog over the past 6 years by reading, sharing and commenting on our posts. And an extra- special thanks to all...

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