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Welcome to the GovHack toolkit. This page provides all the information you need to prepare hackfest entries. #GovHack Toolkit
These tools can be used to make entries like: mobile apps, web apps, data visualisations/infographics Welcome to the GovHack toolkit. This page provides all the information you need to prepare hackfest entries.
  These tools can be used to make entries like: mobile apps, web apps, data visualisations/infographics.
  This toolkit is open source, licenced cc-by and improvements are encouraged ...
- govhack toolkit!!!!  
- key datasets, directory.gov.au gazetter/AEC electorates/suburbs/postcodes/LGAs # How to register and submit your entry
  ## Registering your team
- definitions, open licence reuse permissive hacker hack data journalism data bis UCX etc. Coming Soon: how to use the website "Hacker Space" to register and find teams.
- what do govhack entries look like?  
  ## 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.
  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 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.
   
   
  # General References {#general-data-hacking-and-programming-references}
   
  ## Who can be a hack day participant
- roles; coder, designer UX/graphics - roles; coder, designer UX/graphics
   
  ## Definitions
  - definitions, open licence reuse permissive hacker hack data journalism data vis UX etc.
geo  
- http://converter.mygeodata.eu/vector kml exporter for shp ## The basics of being a data scientist
- http://bost.ocks.org/mike/map/  
  * Have a hypothesis - even if you're making a tool/api that helps people with their questions too, remember what the objective of that is.
R * Find the people and tools you need to prove/show/find. This rest of this page will help with the latter.
- http://blog.yhathq.com/posts/10-R-packages-I-wish-I-knew-about-earlier.html * Analyse and present results - were they what you expected? Do they help explain to others what you have found out?
- excel -> R/rattle/ deducer? http://www.r-bloggers.com/updates-to-the-deducer-family-of-packages/ Can present as a interactive data visualisation or a web/mobile application or just a infographic/motion graphics video that tells a story.
   
  [![](img/How-to-participate-in-GovHack_html_m6a65720f-300x199.gif "Data Journalism Diagram")](img/How-to-participate-in-GovHack_html_m6a65720f.gif)</dt>
  Illustration from Data Journalism Handbook, CC BY-SA 3.0</dd>
- tools.disclo.gs - how to use data  
- developer tools inc. linked data The best high level reference is the 'Understanding Data' and 'Delivering Data' chapters of the Data Journalism Handbook which is available online for free at
- gephi -> neo4j [datajournalismhandbook.org](http://datajournalismhandbook.org/)
- neo4j lets you build on, do massive queries of who is friends with who  
- don't use network viz if what you actually have is a tree/hierarchy with no interconnections http://www.randelshofer.ch/treeviz/ http://thejit.org/demos/ http://mbostock.github.com/protovis/ex/treemap.html http://blog.pixelingene.com/2011/07/building-a-tree-diagram-in-d3-js/ You can learn the technical skills from scratch in Visualize This: The FlowingData Guide to Design, Visualization, and Statistics by Nathan Yau or for more advanced
- http://mbostock.github.com/d3/ex/pack.html http://mbostock.github.com/d3/ex/tree.html practical advice check out Data Analysis with Open Source Tools by Philipp K. Janert
- postgis/quantum gis For further reading in this space
- (google earth is alright but many limitations) NASA World Wind? [http://flowingdata.com/2012/04/27/data-and-visualization-blogs-worth-following/](http://flowingdata.com/2012/04/27/data-and-visualization-blogs-worth-following/)
- ABS statistical areas  
- http://irs.gis-lab.info/ wms or http://www.gdal.org/frmt_wms_openstreetmap_tms.xml  
- can do nearest/isin/union queries - personal geocoder **Statistics**
- cloudmade geocoder, google maps my maps [http://greenteapress.com/thinkstats/html/index.html](http://greenteapress.com/thinkstats/html/index.html)
- base layers like agri or nearmap  
- scraperwiki with new pytemplate libraries **Programming**
- makes an API for your data to get in sqlite/json/csv  
- three.js with cables vis? Overviewer from AP? Programming is valuable skill for manipulating and displaying data.
- govhack library Basic tutorials for a variety of languages are available for free online or you can learn
- http://hpneo.github.com/gmaps/examples.html  
- https://graphics.stanford.edu/wikis/cs448b-12-fall/ data viz theory interactively with websites like [http://www.codecademy.com/](http://www.codecademy.com/#!/exercises/0). for JavaScript or [http://www.learnpython.org/ ](http://www.learnpython.org/)or [http://tryruby.org](http://tryruby.org/)
- https://mixpanel.com/education/understanding-the-first-five-minutes  
- http://drawingbynumbers.org/toolsandresources [https://developer.mozilla.org/en/JavaScript](https://developer.mozilla.org/en/JavaScript) - especially for web applications and visualisations, you'll need a basic understanding of JS. Common libraries like prototype or jQuery can help
- http://wmbriggs.com/blog/?p=6465  
- http://ofps.oreilly.com/titles/9781449339739/k_00000002.html list of d3 alternatives **Accessibility/User Experience**
- http://craigkerstiens.com/2012/10/01/understanding-postgres-performance/  
- https://github.com/clips/pattern for easy NLP/network analysis/data mining WCAG guidelines not only make a web app accessible but make it a better experience for all users! Even if not making an app, good to consider these things to do and not do: [http://www.w3.org/TR/WCAG/](http://www.w3.org/TR/WCAG/)
- https://github.com/theodi/open-data-tech-review/wiki othr cleanup/linked data toola  
- http://selection.datavisualization.ch/ data viz tools catalog  
- manipulating data - grep/find replace/sed/regex  
- d3 tools and tutorial http://enjalot.com/ http://news.ycombinator.com/item?id=4608440 # Developer Tools For Your Computer {#developer-tools-for-your-computer}
- Why d3 is the way it is and how to make charts http://bost.ocks.org/mike/chart/ No matter what kind of application you have for the data, there are many tools you can use to better collaborate and manage your project.
- how to make an xkcd chart http://bl.ocks.org/3914862  
  ### Source Control
- data viz Git / Subversion
- http://k2company.com/blog/2012/09/06/toolbox-for-learning-machine-learning-and-data-science/  
- http://williamparry.blogspot.com.au/2011/04/putting-data-into-google-fusion-tables.html google fusion tutorial [![](img/Screenshot-at-2012-04-29-172132-300x235.png "Git Screenshot")](http://progit.org/book/)
- andrewharvey4.wordpress.com postgis/asgs tutorial  
- http://www.slideshare.net/maxdemarzi/etl-into-neo4j [http://progit.org/book/](http://progit.org/book/)
   
- http://www.twotorials.com/ for R [http://svnbook.red-bean.com/](http://svnbook.red-bean.com/)
- http://www.r-bloggers.com/gradient-word-clouds/ http://www.rstudio.com/shiny/ http://blog.ouseful.info/2012/11/28/quick-shiny-demo-exploring-nhs-winter-sit-rep-data/ https://github.com/timelyportfolio/shiny-d3-plot https://github.com/trestletech/shiny-sandbox/tree/master/grn  
- http://is-r.tumblr.com/post/38240018815/making-prettier-network-graphs-with-sna-and-igraph [http://tortoisesvn.net/](http://tortoisesvn.net/)
- http://www.r-bloggers.com/video-simpler-tricks-and-tools-help-debugging-git-latex-and-workflow-with-r-by-prof-rob-hyndman/  
- http://yihui.name/knitr/ makes reports including google widgets/charts/maps via http://www.r-bloggers.com/googlevis-0-3-2-is-released-better-integration-with-knitr/ [http://code.google.com/p/tortoisegit/](http://code.google.com/p/tortoisegit/)
- http://chartsnthings.tumblr.com/post/36978271916/r-tutorial-simple-charts http://flowingdata.com/2012/12/17/getting-started-with-charts-in-r/  
  ### Task Tracking -
- http://dydra.com/  
- http://selection.datavisualization.ch/ data viz tools list Issue/task trackers allow you to outline the tasks required for your project and assign them to people to do.
- http://nodexl.codeplex.com/ network graphs for excel  
- http://sunfoundation.tumblr.com/ [Trello](https://trello.com/) and [Workflowy](https://workflowy.com/) are free, lightweight project management tools suitable for a rapid project!
- analysing - linked data tools  
- http://govcampau.wikispaces.com/useful+tools ## Hosted Developer Tools {#hosted-developer-tools}
- http://linkeddata.org/home  
  Can get many tools (source control, issue tracking) combined into one service cloud hosted so no setup required.
   
# Hosted Developer Tools {#hosted-developer-tools} ### Github
  Git obviously but svn/hg interfaces are possible. Provide their own GUI for Windows/OSX or use the variety of Git capable tools
   
### Sourceforge ### Sourceforge
   
Subversion, Git, Mercurial, Bazaar, CVS, issue tracker, wiki, release file downloads. Unlimited free use for open source projects. Subversion, Git, Mercurial, Bazaar, CVS, issue tracker, wiki, release file downloads. Unlimited free use for open source projects.
   
You can create your own Sourceforge project at [http://sourceforge.net/](http://sourceforge.net/) You can create your own Sourceforge project at [http://sourceforge.net/](http://sourceforge.net/)
   
### Google Code Project Hosting ### Google Code Project Hosting
   
Git, Mercurial, and Subversion code. Issue tracker, wiki, release file downloads. Unlimited free use for open source projects. Git, Mercurial, and Subversion code. Issue tracker, wiki, release file downloads. Unlimited free use for open source projects.
   
You can host your Google Code project and get access to developer tools, APIs and documentation at [http://code.google.com/](http://code.google.com/) You can host your Google Code project and get access to developer tools, APIs and documentation at [http://code.google.com/](http://code.google.com/)
   
  # Applications of data hacking
   
# The basics of being a data scientist ## API Development {#api-development}
   
* Have a hypothesis � even if you&#8217;re making a tool/api that helps people with their questions too, remember what the objective of that is.  
* Find the people and tools you need to prove/show/find. This rest of this page will help with the latter. So an API isn't just an XML file ![;)]