132 search results for "heatmap"

ggplot2: Quick Heatmap Plotting

January 25, 2010
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ggplot2: Quick Heatmap Plotting

A post on FlowingData blog demonstrated how to quickly make a heatmap below using R base graphics. This post shows how to achieve a very similar result using ggplot2. Data Import FlowingData used last season’s NBA basketball statistics provided by databasebasketball.com, and the csv-file with the data can be downloaded directly from its website. >

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“Digit Recognizer” Challenge on Kaggle using SVM Classification

February 14, 2014
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“Digit Recognizer” Challenge on Kaggle using SVM Classification

This article is about the “Digit Recognizer” challenge on Kaggle. You are provided with two data sets. One for training: consisting of 42’000 labeled pixel vectors and one for the final benchmark: consisting of 28’000 vectors while labels are not … Continue reading → The post “Digit Recognizer” Challenge on Kaggle using SVM Classification appeared first on...

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Self-Organising Maps for Customer Segmentation using R

February 3, 2014
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Self-Organising Maps for Customer Segmentation using R

Self-Organising Maps (SOMs) are an unsupervised data visualisation technique that can be used to visualise high-dimensional data sets in lower (typically 2) dimensional representations. In this post, we examine the use of R to create a SOM for customer segmentation. The figures shown here used use the 2011 Irish Census information for the greater Dublin

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Lyric Analytics

December 28, 2013
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Lyric Analytics

I was messing around with the text mining (tm) package in R and was thinking of something I could comb through.  I looked through some other blogs and websites to see how they were using it:  mining through presidential speeches debates&...

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Plotly Beta: Collaborative Plotting with R

December 16, 2013
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Plotly Beta: Collaborative Plotting with R

(Guest post by Matt Sundquist on a lovely new service which is pro-actively supporting an API for R) The Plotly R graphing library  allows you to create and share interactive, publication-quality plots in your browser. Plotly is also built for …Read more »

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Processing EXIF Data

December 15, 2013
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Processing EXIF Data

I got quite inspired by the EXIF with R post on the Timely Portfolio blog and decided to do a similar analysis with my photographic database. The Data The EXIF data were dumped using exiftool. This command uses some of the powerful features of the bash shell. If you are interested in seeing more about

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Feature Prioritization: Multiple Correspondence Analysis Reveals Underlying Structure

December 10, 2013
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Feature Prioritization:  Multiple Correspondence Analysis Reveals Underlying Structure

Measuring the Power of Product Features to Generate Increased DemandProduct management requires more from feature prioritization than a rank ordering. It is simply not enough to know the "best" feature if that best does not generate increased demand. W...

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What’s in my Pocket? (Part II) – Analysis of Pocket App Article Tagging

November 10, 2013
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What’s in my Pocket? (Part II) – Analysis of Pocket App Article Tagging

IntroductionYou know what's still awesome? Pocket.As I noted in an earlier post (oh god, was that really more than a year ago?!) I started using the Pocket application, previously known as Read It Later, in July of 2011 and it has changed my readi...

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Mining Research Interests – or: What Would Google Want to Know?

October 25, 2013
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Mining Research Interests – or: What Would Google Want to Know?

I am a regular visitor of Google’s research page where they post all of their latest and upcoming scientific papers. Lately I have thought whether it would be possible to statistically extract some of the meta-information from the papers. Here’s the result of the analysis of the papers’ titles produced with just a few

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OA week – A simple use case for programmatic access to PLOS full text

October 21, 2013
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OA week – A simple use case for programmatic access to PLOS full text

Open access week is here! We love open access, and think it's extremely important to publish in open access journals. One of the many benefits of open access literature is that we likely can use the text of articles in OA journals for many things, including text-mining.What's even more awesome is some OA publishers provide API (application...

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