1146 search results for "MAPS"

Upcoming Tutorial: Analyzing US Census Data in R

May 11, 2015
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Upcoming Tutorial: Analyzing US Census Data in R

Today I am pleased to announce that on May 21 I will run a tutorial titled Analyzing US Census Data in R. While I have spoken at conferences before, this is my first time running a tutorial. My hope is that everyone who participates will learn something interesting about the demographics of the state, county

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Who Came Second in the UK Election?

May 8, 2015
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Who Came Second in the UK Election?

The UK’s election results are being digested by the chattering classes. So, yesterday afternoon I thought I’d see if I could grab the election data to make some pictures. Because the BBC has sane HTML structure, this proved a lot more strai...

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In case you missed it: April 2015 roundup

May 8, 2015
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In case you missed them, here are some articles from April of particular interest to R users. Joseph Rickert reviews the inaugural New York City R User Conference, featuring Andrew Gelman. Engineer Vineet Abraham compares performance benchmarks for R and Revolution R Open on OS X and Ubuntu. R was featured in the keynotes for the BUILD developer’s conference....

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Digging up embedded plots

May 7, 2015
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Digging up embedded plots

by Joseph Rickert The following multi-panel graph, which graces the cover of the most recent issue of the Journal of Computational and Graphical Statistics ,JCGS, (Vol 24, Num 1, March 2015) is from the paper by Grolemund and Wickham entitled Visualizing Complex Data With Embedded Plots. The four plots are noteworthy for a couple or reasons: They present superb...

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choroplethr v3.1.0: Better Summary Demographic Data

May 5, 2015
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choroplethr v3.1.0: Better Summary Demographic Data

Today I am happy to announce that choroplethr v3.1.0 is now on CRAN. You can get it by typing the following from an R console: install.packages("choroplethr") This version adds better support for summary demographic data for each state and county in the US. The data is in two data.frames and two functions. The data.frames are:

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Cohort Analysis with Heatmap

Cohort Analysis with Heatmap

Previously I shared the data visualization approach for descriptive analysis of progress of cohorts with the “layer-cake” chart (part I and part II). In this post, I want to share another interesting visualization that not only can be used for descriptive analysis as well but would be more helpful for analyzing a large number of cohorts.... Read More »

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Shiny: Officer Involved Shootings

May 1, 2015
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US Officer Involved Shootings Mar-Apr 2015 with Shiny Now everyone can be a data analyst with RStudio’s Shiny package. Fellow R programmer and Las Vegas import, Steve Wells, has created a R-markdown report that shows off some of the features of this dynamic framework.  Using data derived from the Gun Violence Archive and Google maps, interested users can manipulate this data using...

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The First NY R Conference

April 30, 2015
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The First NY R Conference

by Joseph Rickert Last Friday and Saturday the NY R Conference briefly lit up Manhattan's Union Square neighborhood as the center of the R world. You may have caught some of the glow on twitter. Jared Lander, volunteers from the New York Open Statistical Programming Meetup along with the staff at Workbench (the conference venue) set the bar pretty...

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Downloading and Visualizing Seismic Events from USGS

April 28, 2015
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Downloading and Visualizing Seismic Events from USGS

The unlucky events that took place in Nepal have flooded the web with visualization of the earthquakes from USGS. They normally visualize earthquakes with a colour scale that depends on the age of the event and a marker size that depends on magnitude. I remembered that some time ago I tested ways for downloading and visualizing data from USG...

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Hash Table Performance in R: Part III In Part I of this series, I explained how R hashed…

April 17, 2015
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Hash Table Performance in R: Part III In Part I of this series, I explained how R hashed environments are superior to vectors or lists when you’re in need of an associative array. In Part II I explained the three main operations you want to perform on hash tables and how you should implement them for optimal performance. This time around...

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