152 search results for "heatmap"

statebins – U.S. State Cartogram Heatmaps in R

August 27, 2014
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statebins – U.S. State Cartogram Heatmaps in R

UPDATE The statebins package is now available on CRAN I became enamored (OK, obsessed) with a recent visualization by the WaPo team which @ryanpitts tweeted and dubbed statebins: Statebins! RT @kevinschaul: States with the most jobs lost or threatened because of trade. http://t.co/r1pJhudpz3 pic.twitter.com/eMozAgyEAb— Ryan Pitts (@ryanpitts) August 24, 2014 In a very real sense...

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Heatmap of Toronto Traffic Signals using RGoogleMaps

April 12, 2014
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Heatmap of Toronto Traffic Signals using RGoogleMaps

A little while back there was an article in blogTO about how a reddit user had used data from Toronto's Open Data initiative to produce a rather cool-looking map of all the locations of all the traffic signals here in the city.It's neat because as the author on blogTO notes, it is recognizable as Toronto...

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Using R: correlation heatmap, take 2

March 3, 2014
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Using R: correlation heatmap, take 2

Apparently, this turned out to be my most popular post ever.  Of course there are lots of things to say about the heatmap (or quilt, tile, guilt plot etc), but what I wrote was literally just a quick celebratory post to commemorate that I’d finally grasped how to combine reshape2 and ggplot2 to quickly make

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Using Heatmaps to Uncover the Individual-Level Structure of Brand Perceptions

August 16, 2013
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Using Heatmaps to Uncover the Individual-Level Structure of Brand Perceptions

Heatmaps, when the rows and columns are appropriately ordered, provide insight into the data structure at the individual level.  In an earlier post I showed a cluster heatmap with dendrograms for both the rows and the columns.  In addition, I...

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Heatmapping Washington, DC Rental Price Changes using OpenStreetMaps

August 4, 2013
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Heatmapping Washington, DC Rental Price Changes using OpenStreetMaps

Percentage change of median price per square foot from July 2012 to July 2013: Percentage change of median price from July 2012 to July 2013: Last November I made a  choropleth of median rental prices in the San Francisco Bay Area using data from my company, Kwelia.  I have wanted to figure out how to

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Interactive Heatmaps (and Dendrograms) – A Shiny App

July 7, 2013
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Interactive Heatmaps (and Dendrograms) – A Shiny App

Heatmaps are a great way to visualize data matrices. Heatmap color and organization can be used to  encode information about the data and metadata to help learn about the data at hand. An example of this could be looking at the raw data  or hierarchically clustering samples and variables based on their similarity or differences.

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heatmaps with p-values (2)… coloured according to odds ratio

May 7, 2013
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heatmaps with p-values (2)… coloured according to odds ratio

I like heatplots with p-values -or frequencies, or whatever-. Not very conclusive, but pretty anyway. And when talking about graphs, pretty will make our neurons to fire in more interesting ways: neurons like “pretty” graphs. Moreover, observing your data can … Sigue leyendo →

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… ridiculously photogenic factors (heatmap with p-values)

May 5, 2013
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… ridiculously photogenic factors (heatmap with p-values)

Some months ago, I had to explore a vast amount of categorical variables before making some multivariate analyses. One good way to know your raw data, to make new hypotheses…etc, is to calculate some pairwise “crude” chi-square tests of independence … Sigue leyendo →

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R – Defining Your Own Color schemes for HeatMaps

March 25, 2013
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R – Defining Your Own Color schemes for HeatMaps

This post is intended at those who are beginners at R, and is inspired by a small post in Martin's bioblog.First, we plot a "correlation heatmap" using the same logic that Martin uses. In our example, let's use the Movies dataset that comes with ggplot...

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Using R: Correlation heatmap with ggplot2

March 21, 2013
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Using R: Correlation heatmap with ggplot2

Just a short post to celebrate that I learned today how incredibly easy it is to make a heatmap of correlations with ggplot2 (and reshape2, of course). So, what is going on in that short passage? cor makes a correlation matrix with all the pairwise correlations between variables (twice; plus a diagonal of ones). melt

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