978 search results for "maps"

Continuous or Discrete Latent Structure? Correspondence Analysis vs. Nonnegative Matrix Factorization

August 25, 2014
By
Continuous or Discrete Latent Structure? Correspondence Analysis vs. Nonnegative Matrix Factorization

A map gives us the big picture, which is why mapping has become so important in marketing research. What is the perceptual structure underlying the European automotive market? All we need is a contingency table with cars as the rows, attributes as the ...

Read more »

Revolution Analytics’ User Group Map Contest has a Winner

August 21, 2014
By

by Joseph Rickert We are pleased to announce that Jo-fai Chow is the winner of the Revolution Analytics contest. Jo-fai’s entry, which was implemented as a Shiny project, may be viewed by clicking on the figure below. Jo-fai’s work not only produced an aesthetically pleasing sequence of maps but also provides a superb example of a well-documented, small project...

Read more »

Quantitative Finance applications in R – 8

August 12, 2014
By
Quantitative Finance applications in R – 8

The latest in a series by Daniel Hanson Introduction Correlations between holdings in a portfolio are of course a key component in financial risk management. Borrowing a tool common in fields such as bioinformatics and genetics, we will look at how to use heat maps in R for visualizing correlations among financial returns, and examine behavior in both a...

Read more »

Fracking in your neighborhood? Shale- Oil and Gas Economic Impact Map

August 10, 2014
By
Fracking in your neighborhood? Shale- Oil and Gas Economic Impact Map

I have been working on a visualisation to highlight the results from my paper Fracking Growth, to highlight the local economic impact of the recent oil and gas boom in the US.  There are two key insights. First, there are strong spillover effects from the oil and gas sector. I estimate that every oil and

Read more »

Results of the Readers’ Survey

August 5, 2014
By
Results of the Readers’ Survey

 First of all, let me say “Thank You” to all of the 357 people who completed the survey. I was hoping for 100, so needless to say the response blew away my expectations. This endeavor seems like a worthwhile effort to do once a year. Next year I will refine the...

Read more »

Parsing Domain Names in R with tldextract

August 4, 2014
By

The R Language is really good at data and statistical analysis, but when it comes to working with information security data it has a few holes that need plugging up. Bob has been doing a couple of posts using Rcpp to do things like Basic DNS Lookups, TXT lookups, and IPv4 Conversions. I wanted to add to some of that work with a quick package...

Read more »

The odds of a cluster of airplane accidents

August 2, 2014
By
The odds of a cluster of airplane accidents

Recently, there have been a lot of airplane accidents. July, 17th 2014, Hrabove, Ukraine, Malaysia Airlines, Boeing 777, fatalities 298 (/298) July, 23rd 2014, Magong, Taiwan, TransAsia Airways, ATR 72-500, fatalities 47 (/58) July, 24th 2014, Aguelhok, Mali, Air Algerie, Mc Donnell Douglas MD-83, fatalities 116 (/116) It is simple to find a lot of datasets about airplane crashes....

Read more »

Variable Selection in Market Segmentation: Clustering or Biclustering?

July 29, 2014
By
Variable Selection in Market Segmentation: Clustering or Biclustering?

Will you have that segmentation with one or two modes?The data matrix for market segmentation comes to us with two modes, the rows are consumers and the columns are variables. Clustering uses all the columns to transform the two-mode data matrix (row a...

Read more »

Revisiting package dependencies

July 29, 2014
By
Revisiting package dependencies

by Andrie de Vries In my previous post I wrote about how to identify and visualize package dependencies. Within hours, Duncan Murdoch (member of R-core) identified some discrepancies between my list of dependencies and the visualisation. Since then, I fixed the dispecrancies. In this blog post I attempt to clarify the issues involved in listing package dependencies. In miniCRAN...

Read more »

Clipping spatial data in R

July 28, 2014
By
Clipping spatial data in R

This miniature vignette shows how to clip spatial data based on different spatial objects in R and a ‘bounding box’. Spatial overlays are common in GIS applications and R users are fortunate that the clipping and spatial subsetting functions are mature and fairly fast. We’ll also write a new function called gClip(), that will make clipping by bounding boxes...

Read more »