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Data Analysis Review: Cluster Analysis
http://dataanalysisreview.blogspot.com/2010/11/cluster-analysis.html
Sunday, 28 November 2010. Cluster Analysis has been around for a few decades and uses a range of mathematical formula to categorise data into smaller groups or "clusters" which enable researchers to discover relationships. That sounds complex but thankfully computers do all the legwork and it can be a great form of exploratory data analysis with good data visualisation potential. R Tutor. Has a great tutorial. Here is the code. Posted by Will Parbury. Subscribe to: Post Comments (Atom).
dataanalysisreview.blogspot.com
Data Analysis Review: December 2010
http://dataanalysisreview.blogspot.com/2010_12_01_archive.html
Thursday, 2 December 2010. How the BBC sexed up statistics. As has been noted here. The Beeb has a new series out on statistics. Yes you read that correctly. OK we are talking BBC 4 here rather than prime time BBC 1 but still respect to the BBC for taking on a hard subject and as you can see from the video above making great television. Hopefully the rest of the programme which is out on Tuesday 9pm will be as good. Posted by Will Parbury. Subscribe to: Posts (Atom). How the BBC sexed up statistics.
dataanalysisreview.blogspot.com
Data Analysis Review: November 2010
http://dataanalysisreview.blogspot.com/2010_11_01_archive.html
Sunday, 28 November 2010. Cluster Analysis has been around for a few decades and uses a range of mathematical formula to categorise data into smaller groups or "clusters" which enable researchers to discover relationships. That sounds complex but thankfully computers do all the legwork and it can be a great form of exploratory data analysis with good data visualisation potential. R Tutor. Has a great tutorial. Here is the code. Posted by Will Parbury. Saturday, 27 November 2010. Posted by Will Parbury.
dataanalysisreview.blogspot.com
Data Analysis Review: February 2010
http://dataanalysisreview.blogspot.com/2010_02_01_archive.html
Wednesday, 24 February 2010. On the Ipsos Mori website by Dr Roger Mortimore has data from polls conducted during the 1992 general election and in 2009. On the right of the data there is a variable of Conservative vote change 92-09 but there is no Labour equivalent so I thought I would have a go at that. Turns out it was rather easy in the end. So easy I had time to make a nice graph as well. Posted by Will Parbury. Monday, 22 February 2010. How to report results properly. Posted by Will Parbury. Second ...
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Data Analysis Review: October 2010
http://dataanalysisreview.blogspot.com/2010_10_01_archive.html
Friday, 15 October 2010. Possibly the smartest, coolest and beautiful video you will see on the changing nature of information in the digital age. Posted by Will Parbury. Thursday, 14 October 2010. Posted by Will Parbury. Subscribe to: Posts (Atom). Cathie Marsh Center for Census and Survey Research. Centre for Multi Level Modelling. Centre for Policy Modelling. Journal of Artificial Societies and Social Simulation. Journal of Database Marketing and Customer Strategy Management. Revolutions: News about R.
dataanalysisreview.blogspot.com
Data Analysis Review: The Normal Distribution
http://dataanalysisreview.blogspot.com/2010/10/normal-distribution.html
Thursday, 14 October 2010. Posted by Will Parbury. Subscribe to: Post Comments (Atom). Cathie Marsh Center for Census and Survey Research. Centre for Multi Level Modelling. Centre for Policy Modelling. Journal of Artificial Societies and Social Simulation. Journal of Database Marketing and Customer Strategy Management. National Centre for Social Research. Revolutions: News about R. Social Science Research News. Survey Research Methods Journal.
dataanalysisreview.blogspot.com
Data Analysis Review: Crime data brought to you by R
http://dataanalysisreview.blogspot.com/2010/11/crime-data-brought-to-you-by-r.html
Tuesday, 23 November 2010. Crime data brought to you by R. I have been inspired by this Flowingdata tutorial. Why not have a go yourself? All it took was a few lines of code. Symbols(crime$murder, crime$burglary, circles=crime$population). Symbols(crime$murder, crime$burglary, circles=radius, inches=0.35, fg="white", bg="red" , xlab="Murder Rate", ylab="Burglary Rate"). Text(4,1275,"Burglary and Murder by Size of State"). Text(crime$murder, crime$burglary, crime$state, cex=0.5). Posted by Will Parbury.
dataanalysisreview.blogspot.com
Data Analysis Review: Not on TV
http://dataanalysisreview.blogspot.com/2010/10/not-on-tv.html
Friday, 15 October 2010. Possibly the smartest, coolest and beautiful video you will see on the changing nature of information in the digital age. Posted by Will Parbury. Subscribe to: Post Comments (Atom). Cathie Marsh Center for Census and Survey Research. Centre for Multi Level Modelling. Centre for Policy Modelling. Journal of Artificial Societies and Social Simulation. Journal of Database Marketing and Customer Strategy Management. National Centre for Social Research. Revolutions: News about R.
dataanalysisreview.blogspot.com
Data Analysis Review: Levels of Measurement
http://dataanalysisreview.blogspot.com/2010/07/levels-of-measurement.html
Tuesday, 6 July 2010. The seminal paper that first set out levels of measurement was "On the theory of scales of measurement" by S.S. Stevens. 1946) you can download a copy from here. He argues that all measurements have to fit one of his four levels of measurement, nominal, ordinal, interval or ratio. They can also be characterised more broadly into Categorical and Continuous. These are variables that come in categories. Are Stevens' own descriptions. More than 2 categories in no particular order eg.
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