Blog Archives

Self-Organising Maps for Customer Segmentation using R

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

February 3, 2014
By
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

Read more »

Batch Geocoding with R and Google maps

October 12, 2013
By
Batch Geocoding with R and Google maps

I’ve recently wanted to geocode a large number of addresses (think circa 60k) in Ireland as part of a visualisation of the Irish property market. Geocoding can be simply achieved in R using the geocode() function from the ggmap library. The geocode function uses Googles Geocoding API to turn addresses from text to latitude and

Read more »

Batch Geocoding with R and Google maps

October 12, 2013
By
Batch Geocoding with R and Google maps

I’ve recently wanted to geocode a large number of addresses (think circa 60k) in Ireland as part of a visualisation of the Irish property market. Geocoding can be simply achieved in R using the geocode() function from the ggmap library. The geocode function uses Googles Geocoding API to turn addresses from text to latitude and

Read more »

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