130 search results for "heatmap"

Heat map visualization of sick day trends in Finland with R, ggplot2 and Google Correlate

April 24, 2012
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Heat map visualization of sick day trends in Finland with R, ggplot2 and Google Correlate

Inspired by Margintale’s post “ggplot2 Time Series Heatmaps” and Google Flu Trends I decided to use a heat map to visualize sick days logged by HeiaHeia.com Finnish users. I got the data from our database, filtering results by country (Finnish users only) in a tab separated form with the first line as the header. Three columns

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118 years of US State Weather Data

April 22, 2012
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118 years of US State Weather Data

A recent post on the Junkcharts blog looked at US weather dataand the importance of explaining scales (which in this case went up to 118). Ultimately, it turns out that 118 is the rank of the data compared to the previous 117 years of data (in ascending order, so that 118 is the highest). At … Continue reading...

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Simulated Annealing in Julia

April 4, 2012
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Simulated Annealing in Julia

Building Optimization Functions for Julia In hopes of adding enough statistical functionality to Julia to make it usable for my day-to-day modeling projects, I’ve written a very basic implementation of the simulated annealing (SA) algorithm, which I’ve placed in the same JuliaVsR GitHub repository that I used for the code for my previous post about

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R 2.15.0 is released

March 30, 2012
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R 2.15.0 is released

Bellow is the announcement made by Peter Dalgaard: The build system rolled up R-2.15.0.tar.gz (codename “Easter Beagle”) at 9:00 this morning. This is the first release of the 2.15 series and contains several new features and changes; see the list below for details. You can get the source code from http://cran.r-project.org/src/base/R-2/R-2.15.0.tar.gz or wait for it to be mirrored at...

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Functional regression, INLA, and how to build the World’s Slowest Fourier Transform

March 29, 2012
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Functional regression, INLA, and how to build the World’s Slowest Fourier Transform

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Visualising Twitter User Timeline Activity in R

February 17, 2012
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Visualising Twitter User Timeline Activity in R

I’ve largely avoided “time” in R to date, but following a chat with @mhawksey at #dev8d yesterday, I went down a rathole last night exploring a few ways of visualising a Twitter user timeline and as a result also had a quick initial play with some time handling features of R, such as timeseries objects,

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Revisiting homicide rates

February 10, 2012
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Revisiting homicide rates

A pint of R plotted an interesting dataset: intentional homicides in South America. I thought the graphs were pretty but I was unhappy about the way information was conveyed in the plots; relative risk should be very important but number … Continue reading →

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Where the Worlds of Dentistry and Cartography Collide

November 28, 2011
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Where the Worlds of Dentistry and Cartography Collide

As I was getting a root canal last week, my dental X-Rays reminded me anew of an optical illusion that stumped us for a short time recently when we were developing our heatmapping engine.My X-Rays, before during and after a recent root canal.  The...

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Pseudo-Random vs. Random Numbers in R

November 25, 2011
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Pseudo-Random vs. Random Numbers in R

Earlier, I found an interesting post from Bo Allen on pseudo-random vs random numbers, where the author uses a simple bitmap (heat map) to show that the rand function in PHP has a systematic pattern and compares these to truly random numbers obtained from random.org. The post’s results suggest that pseudo-randomness in

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Pseudo-Random vs. Random Numbers in R

November 25, 2011
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Pseudo-Random vs. Random Numbers in R

Happy Thanksgiving, everyone. Earlier today, I found an interesting post from Bo Allen on pseudo-random vs random numbers, where the author uses a simple bitmap (heat map) to show that the rand function in PHP has a systematic pattern and compares these to truly random numbers obtained from random.org. The post’s results suggest that pseudo-randomness in PHP is

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