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Learn about free online tools that are easy to use without specialist knowledge, helping you replicate academic analyses with less learning investment. Explore mapping with Google Fusion Tables, estimating populations with Population Builder, and profiling populations with National Records of Scotland.
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Other Popular Free Tools Orian Brook, University of Stirling Presentation to the Scottish Civil Society Data Partnership Project (S-CSDP), Webinar 2 on ‘Popular tools of data analysis: MS Excel and online data analysis resources’ www.thinkdata.org.uk, 4 Mar 2016
Useful online free tools: • All are easy to use without specialist knowledge • Replicate more complicated tools used by academics • Less sophisticated but much less learning investment required • And in some cases better than academic tools! • Mapping with Google Fusion Tables and Doogal • Estimating populations in local areas using Population Builder • Exploring the 2011 Census with Datashine • Profiling populations with the National Records of Scotland S-CSDP, 4 Mar 2016
1 Mapping Tools • Google Fusion – you will need a google login https://www.google.com/fusiontables/data?dsrcid=implicit Estimating populations in local areas using Population Builder • www.doogal.co.uk – everything postcode! • www.qgis.org is a geographic information system (ie mapping software) which is free but requires a great deal of knowledge to use S-CSDP, 4 Mar 2016
2 Population Builder http://olihawkins.com/projects/popbuilder/ Does one thing extremely well! Select areas, count population, profile it, download data S-CSDP, 4 Mar 2016
3 Datashine http://scotland.datashine.org.uk • Visualises 2011 Census data in a very user-friendly way • Can also download underlying data • Versions exist for other parts of the UK S-CSDP, 4 Mar 2016
4 National Records for Scotland http://www.scotlandscensus.gov.uk/ods-web/home.html • A more comprehensive suite of tools for viewing and comparing Census 2011 data • although Datashine is better at mapping! • Can also download all kinds of text files of data and cross-tabulations S-CSDP, 4 Mar 2016