3750 search results for "gis"

Databases for text analysis: archive and access texts using SQL

November 7, 2013
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This post is a collection of scripts I've found useful for integrating a SQL database into more complex applications. SQL allows quickish access to largish repositories of text (I wrote about this at some length here), and are a good starting point for...

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Unsupervised data pre-processing: individual predictors

November 7, 2013
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Unsupervised data pre-processing: individual predictors

I just got the excellent book Applied Predictive Modeling, by Max Kuhn and Kjell Johnson . The book is designed for a broad audience and focus on the construction and application of predictive models. Besides going through the necessary theory in a not-so-technical way, the book provides R code at the end of each chapter.

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Correspondence Analysis in R

November 6, 2013
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Correspondence Analysis in R

Correspondence analysis (from a layman’s perspective) is like principal components analysis for categorical data. It can be useful to discover structure in this type of data. My friend Gianmarco Alberti, an archaeologist, has put together an in depth web site … Continue reading →

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Local Council Spending Data – Time Series Charts

November 6, 2013
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Local Council Spending Data – Time Series Charts

In What Role, If Any, Does Spending Data Have to Play in Local Council Budget Consultations? I started wondering about the extent to which local spending transparency data might play a role in supporting consultation around new budgets. As a first pass, I’ve popped up a quick application up at http://glimmer.rstudio.com/psychemedia/iwspend2013_14/ (shiny code here). You

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R: Mapping Philippine Earthquakes (October 2013)

November 5, 2013
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R: Mapping Philippine Earthquakes (October 2013)

Last month, October 15, 2013 around 8:12 am (Philippine Time), a magnitude 7.2 earthquake hit Bohol island, detroying several infrastructures and killing hundreds of residents. The Philippine Institute of Volcanology and Seismology or PhiVolcs recorde...

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NYC R Programming Classes – starting this coming Sunday

November 5, 2013
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NYC R Programming Classes – starting this coming Sunday

Guest post by Vivian Zhang, original post. You can sign up for our Sunday Intensive beginner level R classes at NYC Data Science Academy meetup page or [email protected] more info. Brief: The course (which will meet five Sundays) will start from the basics, introducing the building blocks used for programming in R and building intuition for writing clean and robust code....

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Enron Email Corpus Topic Model Analysis Part 2 – This Time with Better regex

November 4, 2013
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Enron Email Corpus Topic Model Analysis Part 2 – This Time with Better regex

After posting my analysis of the Enron email corpus, I realized that the regex patterns I set up to capture and filter out the cautionary/privacy messages at the bottoms of peoples emails were not working.  Let’s have a look at … Continue reading →

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Generating d3js Motion Charts from rCharts

November 4, 2013
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Generating d3js Motion Charts from rCharts

Remember Gapminder, the animated motion chart popularised by Hans Rosling in his TED Talks and Joy of Stats TV programme? Well it’s back on TV this week in Don’t Panic – The Truth About Population, a compelling piece of OU/BBC co-produced stats theatre featuring Hans Rosling, and a Pepper’s Ghost illusion brought into the digital

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analyze the american national election studies (anes) with r

November 4, 2013
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on election days in the united states, the news media peppers its coverage with quick, dirty exit polls that allow them to make coarse statements like, "x% of demographic group y voted for candidate z."  the american national election studies are ...

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A Rather Nosy Topic Model Analysis of the Enron Email Corpus

November 3, 2013
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A Rather Nosy Topic Model Analysis of the Enron Email Corpus

Having only ever played with Latent Dirichlet Allocation using gensim in python, I was very interested to see a nice example of this kind of topic modelling in R.  Whenever I see a really cool analysis done, I get the … Continue reading →

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