The text of this toolkit is open for reuse under a Creative Commons Attribution licence and improvements are encouraged via Git http://github.com/maxious/govhack-tools or via email patches to govhack@lambdacomplex.org
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/
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.
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
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
Basic tutorials for a variety of languages are available for free online or you can learn interactively with websites like [Codecademy for JavaScript](http://www.codecademy.com/#!/exercises/0), [Learn Python](http://www.learnpython.org/) or [Try Ruby](http://tryruby.org/)
For web applications and visualisations, you'll need a basic understanding of JavaScript in order to configure pre made libraries like jQuery. A good source for Javascript information is the [Mozilla Development Network Javascript Page](https://developer.mozilla.org/en/JavaScript)
Following accessibility guidelines not only make a application 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 when designing for humans: [http://www.w3.org/TR/WCAG/](http://www.w3.org/TR/WCAG/)
Using a version control system like Git or Subversion allows you to keep many different versions of what you have been working on so you can collaborate with others or simply back up your files so you don't lose them!
Some people like sensis [http://](http://developers.sensis.com.au/)[developers.sensis.com.<wbr>au</wbr>](http://developers.sensis.com.au/)[/](http://developers.sensis.com.au/) use a provider like[http://](http://mashery.com/)[mashery.com](http://mashery.com/)[/](http://mashery.com/) or [https](https://apigee.com/)[://](https://apigee.com/)[apigee.com](https://apigee.com/) or [http://](http://apiaxle.com/)[apiaxle.com](http://apiaxle.com/)[/](http://apiaxle.com/) or [http://www.3scale.net/](http://www.3scale.net/) which handles making a good API for them.
API documentation is important too! Traditionally for SOAP APIs, you use WSDL but for REST try [Swagger](http://swagger.wordnik.com/) or [iodocs](https://github.com/mashery/iodocs)
Many web app frameworks can generate the documentation for you. For example Symfony for PHP http://symfony.com/ https://github.com/FriendsOfSymfony/FOSRestBundle http://williamdurand.fr/2012/08/02/rest-apis-with-symfony2-the-right-way/ https://github.com/nelmio/NelmioApiDocBundle
Also check out [http://thejit.org](http://thejit.org/) & [http://www.senchalabs.org/<wbr>philogl/</wbr>](http://www.senchalabs.org/philogl/) (contributed by Matt Adcock)
[](img/How-to-participate-in-GovHack_html_2f0199ff1.png)Description: Planning Alerts takes data from local government development applications and sends alerts to users based on what applications are lodged in their area.
Description: Displays connections between government contracts, business details, politician responsibilities, lobbyists, clients of lobbyists, political donors and the location of these entities.
For data visualisation, there are a variety of graph widgets http://code.google.com/p/afreechart/ http://code.google.com/p/snowdon/ http://code.google.com/p/chartdroid/ http://androidplot.com/ http://code.google.com/p/achartengine/
Check out the [GeoRabble Boundary Mapper's Cookbook](http://georabble.org/2012/05/31/the-boundary-mappers-cookbook/) to see how you can tie all these things together!
Easiest way to do is with a Google Spreadsheet/Fusion Table http://williamparry.blogspot.com.au/2011/04/putting-data-into-google-fusion-tables.htm http://support.google.com/fusiontables/answer/1012281?hl=en&ref_topic=2592806
[](img/postgisexample.jpg)PostGIS is an extension for the PostgreSQL database server that allows you to store and manipulate geospatial data on a large scale. For example finding which points are in an area or what points are closest . It is also very useful for storing geospatial data because it can convert between all major formats including ESRI Shape files and Google Earth/Maps KML.
[](img/How-to-participate-in-GovHack_html_m50afbe88.jpg)QGIS is a graphical desktop application that allows viewing and editing of geospatial data. Some good base maps are available by adding the WMS layer/server [http://irs.gis-lab.info/](http://irs.gis-lab.info/)
[](img/fusiontablesscreenshot.jpg)Input numerical values and areas to a spreadsheet and maps are produced where the areas are colored on a scale of the values
http://www.peteraldhous.com/CAR/Making_maps_with_Google_Fusion_Tables.pdf tutorial or http://support.google.com/fusiontables/topic/2592754?hl=en&ref_topic=27020 for google help files
[](img/How-to-participate-in-GovHack_html_512fcbe1.jpg)Display points and different layers. Leaflet is the easiest to use if you just want to show points with popups when clicked on.
[](img/How-to-participate-in-GovHack_html_4dda24a4.jpg)Google Earth provides 3\. viewing of KML/GML files which represent points and shapes, both through a desktop application and a web plugin. These can be extended with interactive features that allow you to view by timeline or have animated tours between different points. You can also develop and customise your own viewer with the open source [NASA World Wind toolkit.](http://goworldwind.org/demos/)
Tabular data may have duplicate entries or incorrect formats (varying ways to enter dates/phonenumbers etc.). There are tools to quickly fix common problems
Great basic analysis and viewing. Older versions can be limited to 6500\. or so rows. Eg [http://www.tcij.org/training-material/car/data-mining/3474](http://www.tcij.org/training-material/car/data-mining/3474)
[](img/How-to-participate-in-GovHack_html_209ee972.jpg)Next step up, large datasets can be manipulated/extracted efficiently for example [http://www.postgresql.org/docs/8.4/static/tutorial-window.html](http://www.postgresql.org/docs/8.4/static/tutorial-window.html) , no built-in data visualisation though.
[](img/rstudio-windows.png)Advanced data analysis, can find and visualise trends 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)
- 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/
Create visualisations from various data formats by dragging and dropping. Free trial available on website. [](img/Tableau-Screenshot.jpg)
[](img/How-to-participate-in-GovHack_html_m11006fce.jpg)Javascript based charts for webpages.
[](img/How-to-participate-in-GovHack_html_m90d8020.jpg)Javascript visualisations that are more interactive or intricate than charts. Can be hard to learn but there are examples and easier to use premade visualisations such as [word clouds](http://www.jasondavies.com/wordcloud/), [realtime filtering of barcharts](http://square.github.com/crossfilter/), or [bubble trees for comparing amount sizes](https://github.com/okfn/bubbletree).
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.
"Overview automatically sorts thousands of documents into topics and sub-topics, by reading the full text of each one." Simply make a CSV file with two columns, id and text. 10,000 documents is a good limit for the current state of the system. https://www.overviewproject.org/
[](img/webadmin-data.png)Help understand relationships - how is X connected to Y and via what other entities they both are connected to. Imports and exports
Major graph databases like these can be accessed using a common syntax called Gremlin or by writing a simple Java/Python/Ruby application. Queries can be tested in the built in data browser.
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.
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/d3 for Trees and Hierarchies
[](img/How-to-participate-in-GovHack_html_7579906d.png)Classic directed graph visualisation tool, can even [generate images online without installing](http://ashitani.jp/gv/) or use in webpages with [javascript port of software](http://code.google.com/p/canviz/). File format ["dot" very easy to learn](http://en.wikipedia.org/wiki/DOT_language)
[](img/How-to-participate-in-GovHack_html_74d01d05.jpg)Desktop graph editor and renderer. Many good automatic layout algorithms even for very large graphs.
[](img/How-to-participate-in-GovHack_html_m6006eaf3.jpg)Javascript graph viewer, can use GEXF files exported from tools like neo4j, gephi and NetworkX.