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Alex Sadleir 1 Welcome to the GovHack toolkit. This page provides all the information you need to prepare hackfest entries.
Maxious 2 These tools can be used to make entries like: mobile apps, web apps, data visualisations/infographics
Alex Sadleir 3
4
Maxious 5 - govhack toolkit!!!!
Maxious 6 - key datasets, directory.gov.au gazetter/AEC electorates/suburbs/postcodes/LGAs
Alex Sadleir 7
8 - definitions, open licence reuse permissive hacker hack data journalism data bis UCX etc.
Maxious 9 - what do govhack entries look like?
Alex Sadleir 10 - roles; coder, designer UX/graphics
Maxious 11
Maxious 12
Maxious 13
Maxious 14 geo
Maxious 15 - http://converter.mygeodata.eu/vector kml exporter for shp
Maxious 16 - http://bost.ocks.org/mike/map/
Maxious 17
Maxious 18 R
19 - http://blog.yhathq.com/posts/10-R-packages-I-wish-I-knew-about-earlier.html
20 - excel -> R/rattle/ deducer? http://www.r-bloggers.com/updates-to-the-deducer-family-of-packages/
Maxious 21
22
23
24 - tools.disclo.gs - how to use data
25 - developer tools inc. linked data
26 - gephi -> neo4j
27 - neo4j lets you build on, do massive queries of who is friends with who
Maxious 28 - 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/
29 - http://mbostock.github.com/d3/ex/pack.html http://mbostock.github.com/d3/ex/tree.html
maxious 30 - postgis/quantum gis
Maxious 31 - (google earth is alright but many limitations) NASA World Wind?
Maxious 32 - ABS statistical areas
33 - http://irs.gis-lab.info/ wms or http://www.gdal.org/frmt_wms_openstreetmap_tms.xml
Maxious 34 - can do nearest/isin/union queries - personal geocoder
Alex Sadleir 35 - cloudmade geocoder, google maps my maps
Maxious 36 - base layers like agri or nearmap
37 - scraperwiki with new pytemplate libraries
maxious 38 - makes an API for your data to get in sqlite/json/csv
Maxious 39 - three.js with cables vis? Overviewer from AP?
40 - govhack library
41 - http://hpneo.github.com/gmaps/examples.html
42 - https://graphics.stanford.edu/wikis/cs448b-12-fall/ data viz theory
43 - https://mixpanel.com/education/understanding-the-first-five-minutes
44 - http://drawingbynumbers.org/toolsandresources
45 - http://wmbriggs.com/blog/?p=6465
46 - http://ofps.oreilly.com/titles/9781449339739/k_00000002.html list of d3 alternatives
47 - http://craigkerstiens.com/2012/10/01/understanding-postgres-performance/
48 - https://github.com/clips/pattern for easy NLP/network analysis/data mining
49 - https://github.com/theodi/open-data-tech-review/wiki othr cleanup/linked data toola
50 - http://selection.datavisualization.ch/ data viz tools catalog
51 - manipulating data - grep/find replace/sed/regex
52 - d3 tools and tutorial http://enjalot.com/ http://news.ycombinator.com/item?id=4608440
53 - Why d3 is the way it is and how to make charts http://bost.ocks.org/mike/chart/
54 - how to make an xkcd chart http://bl.ocks.org/3914862
maxious 55
Maxious 56 - data viz
maxious 57 - http://k2company.com/blog/2012/09/06/toolbox-for-learning-machine-learning-and-data-science/
Maxious 58 - http://williamparry.blogspot.com.au/2011/04/putting-data-into-google-fusion-tables.html google fusion tutorial
59 - andrewharvey4.wordpress.com postgis/asgs tutorial
60 - http://www.slideshare.net/maxdemarzi/etl-into-neo4j
61
62 - http://www.twotorials.com/ for R
63 - 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
64 - http://is-r.tumblr.com/post/38240018815/making-prettier-network-graphs-with-sna-and-igraph
Alex Sadleir 65 - http://www.r-bloggers.com/video-simpler-tricks-and-tools-help-debugging-git-latex-and-workflow-with-r-by-prof-rob-hyndman/
66 - 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/
Maxious 67 - http://chartsnthings.tumblr.com/post/36978271916/r-tutorial-simple-charts http://flowingdata.com/2012/12/17/getting-started-with-charts-in-r/
maxious 68
69 - http://dydra.com/
Maxious 70 - http://selection.datavisualization.ch/ data viz tools list
Alex Sadleir 71 - http://nodexl.codeplex.com/ network graphs for excel
Maxious 72 - http://sunfoundation.tumblr.com/
73 - analysing - linked data tools
74 - http://govcampau.wikispaces.com/useful+tools
75 - http://linkeddata.org/home
76
77
78 # Hosted Developer Tools {#hosted-developer-tools}
79
80 ### Sourceforge
81
82 Subversion, Git, Mercurial, Bazaar, CVS, issue tracker, wiki, release file downloads. Unlimited free use for open source projects.
83
84 You can create your own Sourceforge project at [http://sourceforge.net/](http://sourceforge.net/)
85
86 ### Google Code Project Hosting
Maxious 87
88 Git, Mercurial, and Subversion code. Issue tracker, wiki, release file downloads. Unlimited free use for open source projects.
89
90 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/)
91
92
93
94 # The basics of being a data scientist
95
96 * 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.
97 * Find the people and tools you need to prove/show/find. This rest of this page will help with the latter.
98 * Analyse and present results � were they what you expected? Do they help explain to others what you have found out? Can present as a interactive data visualisation or a web/mobile application or just a infographic/motion graphics video that tells a story.
99 Please note, there are a combination of Analysis and Visualisation tools in each of the major categories below.
100
101 # API Development {#api-development}
102
103
104 So an API isn’t just an XML file ![;)](http://www.govhack.org/wp-includes/images/smilies/icon_wink.gif)
105
Alex Sadleir 106 A good web based data API:
107
108 * Is logically organised
Maxious 109 * Can filter returned data
110 * Can return results in different open formats (CSV/JSON etc.)
maxious 111 * Is efficient and responsive by using caching and databases appropriately
112 * Handles errors gracefully
113 * Monitors and controls access (to show benefit realised of API and prevent abuse)
114 * Provides appropriate documentation with examples
115
116 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.
117
118 Atlassian have a great page on what makes a good API [https](https://developer.atlassian.com/display/REST/Atlassian+REST+API+Design+Guidelines+version+1)[://](https://developer.atlassian.com/display/REST/Atlassian+REST+API+Design+Guidelines+version+1)[developer.atlassian.<wbr>com</wbr>](https://developer.atlassian.com/display/REST/Atlassian+REST+API+Design+Guidelines+version+1)[/display/REST/](https://developer.atlassian.com/display/REST/Atlassian+REST+API+Design+Guidelines+version+1)[Atlassian](https://developer.atlassian.com/display/REST/Atlassian+REST+API+Design+Guidelines+version+1)[+<wbr>REST+API+Design+Guidelines+<wbr>version+1</wbr></wbr>](https://developer.atlassian.com/display/REST/Atlassian+REST+API+Design+Guidelines+version+1)
119
120 API
121 - howto.gov api tutorial
122 - http://shancarter.com/data_converter/
123 - http://training.sunlightfoundation.com/module/data-visualizations-google-docs/
124 - api documentation
Maxious 125 - WSDL or http://swagger.wordnik.com/ or https://github.com/mashery/iodocs
126 - 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 better apis https://github.com/liip/LiipHelloBundle
Maxious 127 - https://github.com/elc/rapi_doc https://github.com/Pajk/apipie-rails
128 -
129
130
131
132 # Infographics and Data Visualisation {#data-visualisation}
133
134 Infographics try to contextualise charts and graphs to tell a story. Data vis builds on this to find new ways to design insight.
135
Maxious 136 Most of the categories to follow have visualisation tools specific to their purpose.
Alex Sadleir 137
Maxious 138 You can find some data visualisation &#8220;essential&#8221\. tools below:
139
Alex Sadleir 140 [http://www.visualisingdata.com/index.php/2011/07/part-6-the-essential-collection-of-visualisation-resources/](http://www.visualisingdata.com/index.php/2011/07/part-6-the-essential-collection-of-visualisation-resources/)
Alex Sadleir 141
142 Also check out [http://thejit.org](http://thejit.org/) &amp; [http://www.senchalabs.org/<wbr>philogl/</wbr>](http://www.senchalabs.org/philogl/) (contributed by Matt Adcock)
143
144 # Mobile
145 html5 jquery mobile like directory.gov.au
maxious 146 - android datviz
147 - 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/
148
149
150
151 # Geographical Data Tools {#geographical-data-tools}
Maxious 152
153 Check out the[ GeoRabble Boundary Mapper&#8217;s Cookbook](http://georabble.org/2012/05/31/the-boundary-mappers-cookbook/) to see how you can tie all these things together!
Maxious 154
155 ## Analysis
156
157 ### PostGIS
158
Alex Sadleir 159 [![](http://www.govhack.org/wp-content/uploads/postgisexample-300x130.jpg "postgisexample")](http://www.govhack.org/wp-content/uploads/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.
160
Maxious 161 ### Quantum GIS
162
Alex Sadleir 163 [![](http://www.govhack.org/wp-content/uploads/How-to-participate-in-GovHack_html_m50afbe88-300x160.jpg "QGIS Screenshot")](http://www.govhack.org/w