--- a/index.md +++ b/index.md @@ -11,8 +11,9 @@ ## Preparing your submission You should record a 3 minute speech and mix images/text to accompany. -http://www.screenr.com/ and other screencasting tools allow you to demo apps. +[Screenr] (http://www.screenr.com/) , [ActivePresenter Free Edition](http://atomisystems.com/activepresenter/free-edition/) and other screencasting tools allow you to demo apps. To mix together clips, you can use youtube video editor http://www.youtube.com/editor or local software like http://www.videolan.org/vlmc/ or http://www.lwks.com/ +You can use graphics for example [storyboards with these free icons](http://dribbble.com/shots/1083617-430-FREE-storyboard-illustrations) You also need to submit your "source material". For an application this may be source code, for another work it might be your notes or prototypes. The key thing here is that your source material demonstrates to the judges that some of the end result was your own work and that it is possible for another person to replicate that work. @@ -66,7 +67,7 @@ [](http://progit.org/book/) -There are [tutorials on git](http://progit.org/book/) and GUIs to help you like [TortoiseGit for Windows](http://code.google.com/p/tortoisegit/) and [Atlassian SourceTree for Windows and OSX](http://sourcetreeapp.com/) +There are [tutorials on git](http://progit.org/book/) and GUIs to help you like [TortoiseGit for Windows](http://code.google.com/p/tortoisegit/) and [Atlassian SourceTree for Windows and OSX](http://sourcetreeapp.com/) (or if you prefer the console [tig](http://blogs.atlassian.com/2013/05/git-tig/)) There is also a [manual for Subversion](http://svnbook.red-bean.com/) and a [similar GUI for Subversion](http://tortoisesvn.net/) @@ -78,13 +79,16 @@ ## Virtual Servers Many free services to try out virtual/cloud servers before scaling up: https://www.chunkhost.com/ or heroku or https://www.appfog.com/pricing/ +If your wifi starts to get congested, you can use [mosh](http://mosh.mit.edu/) to improve the performance of SSH under reduced network performance. + ## Hosted Developer Tools Can get many tools (source control, issue tracking) combined into one service cloud hosted so there's no setup required. -### Github -Git obviously but svn/hg interfaces are also available. Provide their own GUI for Windows/OSX or use a variety of Git capable tools +### Github / BitBucket +Github provides Git but [Subversion (svn)](https://github.com/blog/626-announcing-svn-support) and [Mercurial (hg)](http://hg-git.github.io/) interfaces are also available. Github provide their own GUI for Windows/OSX or you can use a variety of Git capable tools https://github.com/ +Similarly Atlassian provide BitBucket accessible via Git and Mercurial (hg) https://bitbucket.org/ ### Sourceforge @@ -105,7 +109,6 @@ So an API isn't just an XML file! - A good web based data API: * Is logically organised @@ -218,6 +221,8 @@ ## Key datasets There are a variety of base layers like AGRI aerial imagery of Australia http://agri.openstreetmap.org/ or WMS services like http://irs.gis-lab.info/ wms or http://www.gdal.org/frmt_wms_openstreetmap_tms.xml +Check out the [Geoscience Australia Geo Dataset search and preview](http://www.ga.gov.au/search/index.html#/showMap) + ASGS from ABS including suburbs/postcodes andrewharvey4.wordpress.com postgis/asgs tutorial You can also get KML layers for various statistical measures on the ABS TableBuilder tool. @@ -237,6 +242,9 @@ ## Analysis +### R +http://www.r-bloggers.com/starting-analysis-and-visualisation-of-spatial-data-with-r/ +http://www.r-bloggers.com/3d-mapping-in-r/ ### PostGIS @@ -300,12 +308,14 @@ Converting between formats like json/xml or csv can be done online with http://shancarter.com/data_converter/ ### correction -Tabular data may have duplicate entries or incorrect formats (varying ways to enter dates/phonenumbers etc.). There are tools to quickly fix common problems +Tabular data may have duplicate entries or incorrect formats (varying ways to enter dates/phonenumbers etc.). There are tools to quickly fix common problems: [DataWrangler](http://vis.stanford.edu/wrangler/)/[Google Refine](http://code.google.com/p/google-refine/) [](img/google_refine_interface.png)Clean up duplicate or inconsistent data entries. +For the more adventureous, [Dedupe](https://github.com/open-city/dedupe) allows you to train a computer to deduplicate similarly named entities automatically. + You can also use general purpose file manipulation tools like grep/awk/sed. These work best when you instruct them what search/change you need using Regular Expressions (RegEx) which you can learn more about at http://www.regexper.com/ and http://www.debuggex.com/?re=&str= ## Analysis @@ -314,7 +324,7 @@ Great basic analysis and viewing but older versions can be limited to 6500 rows. Eg [http://www.tcij.org/training-material/car/data-mining/3474](http://www.tcij.org/training-material/car/data-mining/3474) or [http://training.sunlightfoundation.com/module/data-visualizations-google-docs/](http://training.sunlightfoundation.com/module/data-visualizations-google-docs/) - See this [Excel Data Journalism tutorial](http://schoolofdata.org/2013/04/24/using-excel-to-do-precision-journalism-an-update-from-the-school-of-data-journalism-in-perugia/) + See this [Excel Data Journalism tutorial](http://schoolofdata.org/2013/04/24/using-excel-to-do-precision-journalism-an-update-from-the-school-of-data-journalism-in-perugia/) or [Excel addons for enhanced visualisation and analysis](http://www.clickz.com/clickz/column/2265548/5-free-excel-addins-to-help-digital-marketers-decipher-big-data) ### PostgreSQL/MySQL @@ -325,7 +335,8 @@ ### R Statistical Language [](img/rstudio-windows.png) -R provides a platform for advanced data analysis which can find and visualise trends even in large datasets. Some reference resources to learn the language [http://cran.r-project.org/doc/manuals/R-intro.html ](http://cran.r-project.org/doc/manuals/R-intro.html)There are also some addons that provide graphical interfaces that make it easier to use such as Rattle [http://rattle.togaware.com/](http://rattle.togaware.com/) , RStudio [http://rstudio.org/](http://rstudio.org/) or Deducer [http://www.deducer.org/pmwiki/pmwiki.php?n=Main.DeducerManual](http://www.deducer.org/pmwiki/pmwiki.php?n=Main.DeducerManual) +R provides a platform for advanced data analysis which can find and visualise trends even in large datasets. Some reference resources to learn the language [R basic statistics and graphs](https://people.ifm.liu.se/marjon/R_intro_solutions.pdf) [http://cran.r-project.org/doc/manuals/R-intro.html ](http://cran.r-project.org/doc/manuals/R-intro.html) [Guerilla Guide to R](http://www.r-bloggers.com/the-guerilla-guide-to-r/) +There are also some addons that provide graphical interfaces that make it easier to use such as Rattle [http://rattle.togaware.com/](http://rattle.togaware.com/) , RStudio [http://rstudio.org/](http://rstudio.org/) or Deducer [http://www.deducer.org/pmwiki/pmwiki.php?n=Main.DeducerManual](http://www.deducer.org/pmwiki/pmwiki.php?n=Main.DeducerManual) R's value lies in the wide array of libraries and addons you can use. For example [BigVis](http://blog.revolutionanalytics.com/2013/04/visualize-large-data-sets-with-the-bigvis-package.html) lets you visualise 10 Million data points in 5 seconds on an ordinary computer. Be sure to checkout the list of ["10 R packages I wish I knew about earlier"](http://blog.yhathq.com/puosts/10-R-packages-I-wish-I-knew-about-earlier.html) @@ -343,11 +354,14 @@ ## Visualisation -### [Tableau Desktop](http://www.tableausoftware.com/) - +### WYSIWYG visualisation tools + +[Tableau Desktop](http://www.tableausoftware.com/) Create visualisations from various data formats by dragging and dropping. Free trial available on website. [](img/Tableau-Screenshot.jpg) See this [Tableau Desktop Tutorial](http://schoolofdata.org/2013/04/27/ddjschool-tutorial-analysing-datasets-with-tableau-public/) + +There are also web based tools like [plot.ly](http://plot.ly) and [infogr.am](http://infogr.am) ### Web page (Javascript) graphs [Flotr2](http://www.humblesoftware.com/flotr2/)/[Google Chart Tools](https://developers.google.com/chart/) @@ -362,6 +376,7 @@ # Unstructured (Text) Data Tools Most of the world's data isn't structured because it is contained in documents (webpages, tweets etc.). Sometimes it is possible to structure it, sometimes there are tools that are better suited it unstructured data. +[Text analysis can be very valuable for transparency](http://overview.ap.org/blog/2013/05/video-text-analysis-in-transparency/) ## Wrangling For extracting data from webpages, checkout Scraperwiki pytemplate scrapy @@ -370,8 +385,9 @@ If there is no way to form a table structure to be able to apply tabular data techniques , you need a more sophisticated analysis as detailed below. ## Analysing -Natural Language Processing libraries like OpenNLP for Java or NLTK / [Pattern](https://github.com/clips/pattern) for Python allow you to extract information from text. -One of the most useful techniques found in these libraries is Named entity recognition which extracts the subjects named in a piece of text. +Natural Language Processing libraries like OpenNLP for Java or NLTK / [Pattern](https://github.com/clips/pattern) for Python allow you to extract information from text. For example, [finding the important keywords in a sentence automatically](http://thetokenizer.com/2013/05/09/efficient-way-to-extract-the-main-topics-of-a-sentence/) + +One of the most useful techniques found in these libraries is Named entity recognition which extracts the subjects named in a piece of text. You can find online services that will interpret text for you without having to install any libraries or write any code such as [Yahoo Content Analysis](http://developer.yahoo.com/contentanalysis/) or [TextRazor](http://www.textrazor.com/). A search engine just for your dataset can also help. Tools like Apache Lucene/Solr or ElasticSearch can help you index and search large datasets in new ways. @@ -390,11 +406,12 @@ # Graph (relationships and networks) Data Tools Graph data can be very valuable for finding communities, hubs and connections between entities (the 6 degrees of separation). This is through the techniques of Social Network Analysis. +You can also find "linked data", [tools for use are listed here](http://logd.tw.rpi.edu/tools_technologies) as well as [sgvizler](http://code.google.com/p/sgvizler/) for sparql graphing, [RelFinder for RDF exploration](http://www.visualdataweb.org/relfinder.php) and [Flint SPARQL editor](http://openuplabs.tso.co.uk/demos/sparqleditor). For more linked data tools, see the [govcamp useful tools wiki](http://govcampau.wikispaces.com/useful+tools) + ## Analysis ### R -http://www.slideshare.net/ianmcook/social-network-analysis-in-r -- http://is-r.tumblr.com/post/38240018815/making-prettier-network-graphs-with-sna-and-igraph +R statistical language can be used for social network analysis too http://www.slideshare.net/ianmcook/social-network-analysis-in-r http://is-r.tumblr.com/post/38240018815/making-prettier-network-graphs-with-sna-and-igraph ### Graph Databases @@ -413,7 +430,7 @@ NetworkX is a social network analysis library for python. Many advanced analyses built in like finding communities within a graph. Also good for converting data into graphs. -See this [introduction to Social Network Analysis with NetworkX](http://www.cl.cam.ac.uk/~cm542/teaching/2011/stna-pdfs/stna-lecture11.pdf) +See this [introduction to Social Network Analysis with NetworkX](http://www.cl.cam.ac.uk/~cm542/teaching/2011/stnapdfs/stna-lecture11.pdf) ## Visualisation @@ -431,7 +448,7 @@ A sankey diagram can easily visualise this http://bost.ocks.org/mike/sankey/ ### NodeXL for Microsoft Excel -[](img/ExcelWindow.png) + [NodeXL](http://nodexl.codeplex.com/) allows you to visualise networks/graphs quickly inside Excel. ### [Graphviz](http://www.graphviz.org/) @@ -443,9 +460,14 @@ [](img/How-to-participate-in-GovHack_html_74d01d05.jpg)Desktop graph editor and renderer. Many good automatic layout algorithms even for very large graphs. Many tools can produce input files for Gephi including Graph Databases and [a Excel Spreadsheet to map twitter social networks](http://dfreelon.org/2013/04/26/spreadsheet-converts-tweets-for-social-network-analysis-in-gephi/) + +If you need to distribute or customise Gephi-like functionality [Cytoscape](http://www.cytoscape.org/) provides a framework (looks much like Gephi user interface) to develop advanced interactive network visualisations in Java, including filtering and clustering. ### [sigma.js](http://sigmajs.org/) [](img/How-to-participate-in-GovHack_html_m6006eaf3.jpg)Javascript graph viewer for displaying graphs on webpages without any other plugins/applications required. It can use GEXF files exported from tools like neo4j, gephi or NetworkX. It's also possible to [filter/search the displayed network in sigma.js](https://github.com/jacomyal/osdc2012-sigmajs-demo) +[Cytoscape.js](https://github.com/cytoscape/cytoscape.js) can also be used for interactive web-based network visualisation. + +