954 search results for "maps"

Catastrophe Modeling for the Insurance Industry

December 19, 2013
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Catastrophe Modeling for the Insurance Industry

by Joseph Rickert At a Bay Area R User Group (BARUG) meeting this month hosted by Cisco, Dag Lohmann (the co-founder of Katrisk) gave an electrifying talk on catastrophe modeling for the insurance industry. Catastrophes: cyclones, hurricanes, floods earthquakes, terrorist attacks are rare events (from a statistical point of view) that cause losses and human suffering over large geographic...

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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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The Complexities of Customer Segmentation: Removing Response Intensity to Reveal Response Pattern

December 15, 2013
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The Complexities of Customer Segmentation: Removing Response Intensity to Reveal Response Pattern

At the end of the last post, the reader was left assuming respondent homogeneity without any means for discovering if all of our customers adopted the same feature prioritization. To review, nine features were presented one at a time, and each time res...

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Success rates for EPSRC proposals

December 12, 2013
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Success rates for EPSRC proposals

Email In my last post, I looked at the success rates for EPSRC Fellowship applications using funnel plots. As luck would have it, Alex Hulkes and Derek Gillespie from EPSRC then got it touch to say that they had done a similar internal analysis and would I be interested in the data? Yes please! The

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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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Next Kölner R User Meeting: 13 December 2013

December 10, 2013
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Next Kölner R User Meeting: 13 December 2013

Quick reminder: The next Cologne R user group meeting is scheduled for this Friday, 13 December 2013. We are delighted to welcome: Matt Dowle and Arun Srinivasan: Introduction to data.table Thomas Rahlf: Book presentation - Datendesign mit R Further details and the agenda are available on our KölnRUG Meetup site. Please sign up if you would like to...

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eeptools 0.3 Released!

December 9, 2013
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Version 0.3 of my R package of miscellaneous code has been released, this time with substantial contributions from Jason Becker via GitHub. Progress continues toward the ultimate goal for eeptools to "make it easier for administrators at stat...

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Introduction to Spatial Data and ggplot2

December 9, 2013
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Introduction to Spatial Data and ggplot2

For those starting out with spatial data in R, Robin Lo

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Tim Hortons Density

Tim Hortons Density

Tim Hortons Density Inspired by this post, I wanted to examine the locations and density of Tim Hortons restaurants in Canada. Using Stats Canada data, each census tract is queried on Foursquare for Tims locations. Setup options(stringsAsFactors = F) require(timmysDensity) require(plyr) require(maps) require(ggplot2) require(geosphere) Statistics Canada Census Data The actual Statistics Canada data at the dissemination block level can be downloaded from here. You will want to...

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Introduction to R and ggplot2 course

December 6, 2013
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This course is about getting to grips with the basics of the R command line for basic data analysis and visualisation. There's a focus on maps and ggplot2. The first part of the course uses Rich Harris's "Short Introduction to R" (here). The second part works through an "Introduction to Spatial Data and ggplot2" (Cheshire and Lovelace, 2013), which can be found...

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