Infoskills

its the Gramma an punctuashun wot its’ about, Rgiht?

October 4, 2012 | 0 Comments

This is another of those confluence style posts, where a handful of things I’ve read in quick succession seem to phase lock in my mind: (brought to mind in part via @downes a week or so ago: How to Synch 32 Metronomes) The first was a post by Alan Levine ... [Read more...]

Amateur Mapmaking: Getting Started With Shapefiles

January 13, 2012 | 0 Comments

One of the great things about (software) code is that people build on it and out from it… Which means that as well as producing ever more complex bits of software, tools also get produced over time that make it easier to do things that were once hard to do, ... [Read more...]

Getting Started With Twitter Analysis in R

November 9, 2011 | 0 Comments

Earlier today, I saw a post vis the aggregating R-Bloggers service a post on Using Text Mining to Find Out What @RDataMining Tweets are About. The post provides a walktrhough of how to grab tweets into an R session using the twitteR library, and then do some text mining on ... [Read more...]

Power Tools for Aspiring Data Journalists: R

October 31, 2011 | 0 Comments

Picking up on Paul Bradshaw’s post A quick exercise for aspiring data journalists which hints at how you can use Google Spreadsheets to grab – and explore – a mortality dataset highlighted by Ben Goldacre in DIY statistical analysis: experience the thrill of touching real data, I thought I’d describe ... [Read more...]

Data Driven Story Discovery: Working Up a Multi-Layered Chart

August 3, 2011 | 0 Comments

How many different dimensions (or “columns” in a dataset where each row represents a different sample and each column a different measurement taken as part of that sample) can you plot on a chart? Two are obvious: X and Y values, which are ideal for representing continuous numerical variables. If ... [Read more...]

On the Public Understanding of – and Public Engagement With – Statistics: Reflections on the OU Statistics Group Conference on “Visualisation and Presentation in Statistics”

May 24, 2011 | 0 Comments

Last week I attended the OU Statistics conference on Visualisation and Presentation in Statistics (VIPS) (notes: here and here) One of the things that struck me from conversations and some of the presentations was that statistics – and in particular public engagement around statistics – appears to be lagging science efforts in ... [Read more...]

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