| geo |
#GovHack Toolkit |
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| R |
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| - tools.disclo.gs - how to use data |
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| - developer tools inc. linked data |
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| - gephi -> neo4j |
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| - neo4j lets you build on, do massive queries of who is friends with who |
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| - 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/ |
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| - http://mbostock.github.com/d3/ex/pack.html http://mbostock.github.com/d3/ex/tree.html |
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| - postgis/quantum gis |
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| - (google earth is alright but many limitations) NASA World Wind? |
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| - ABS statistical areas |
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| - base layers like agri, http://irs.gis-lab.info/ wms or http://www.gdal.org/frmt_wms_openstreetmap_tms.xml |
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| - can do nearest/isin/union queries - personal geocoder |
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| - cloudmade geocoder, google maps my maps |
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| - scraperwiki with new pytemplate libraries |
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| - makes an API for your data to get in sqlite/json/csv |
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| - govhack library |
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| - https://graphics.stanford.edu/wikis/cs448b-12-fall/ data viz theory |
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| - http://drawingbynumbers.org/toolsandresources |
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| - http://wmbriggs.com/blog/?p=6465 |
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| - http://ofps.oreilly.com/titles/9781449339739/k_00000002.html list of d3 alternatives |
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| - http://craigkerstiens.com/2012/10/01/understanding-postgres-performance/ |
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| - https://github.com/clips/pattern for easy NLP/network analysis/data mining |
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| - https://github.com/theodi/open-data-tech-review/wiki othr cleanup/linked data toola |
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| - http://selection.datavisualization.ch/ data viz tools catalog |
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| - manipulating data - grep/find replace/sed/regex |
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| - d3 tools and tutorial http://enjalot.com/ http://news.ycombinator.com/item?id=4608440 |
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| - Why d3 is the way it is and how to make charts http://bost.ocks.org/mike/chart/ |
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| - how to make an xkcd chart http://bl.ocks.org/3914862 |
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| - data viz |
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| - http://k2company.com/blog/2012/09/06/toolbox-for-learning-machine-learning-and-data-science/ |
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| - http://williamparry.blogspot.com.au/2011/04/putting-data-into-google-fusion-tables.html google fusion tutorial |
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| - andrewharvey4.wordpress.com postgis/asgs tutorial |
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| - http://www.slideshare.net/maxdemarzi/etl-into-neo4j |
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| - http://www.twotorials.com/ for R |
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| - 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 |
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| - http://is-r.tumblr.com/post/38240018815/making-prettier-network-graphs-with-sna-and-igraph |
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| - http://www.r-bloggers.com/video-simpler-tricks-and-tools-help-debugging-git-latex-and-workflow-with-r-by-prof-rob-hyndman/ |
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| - 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/ |
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| - http://chartsnthings.tumblr.com/post/36978271916/r-tutorial-simple-charts http://flowingdata.com/2012/12/17/getting-started-with-charts-in-r/ |
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| - http://dydra.com/ |
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| - http://selection.datavisualization.ch/ data viz tools list |
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| - http://nodexl.codeplex.com/ network graphs for excel |
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| - http://sunfoundation.tumblr.com/ |
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| - analysing - linked data tools |
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| - http://govcampau.wikispaces.com/useful+tools |
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| - http://linkeddata.org/home |
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| Welcome to the GovHack toolkit. This page provides all the information you need to prepare hackfest entries. |
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 |
These tools can be used to make entries like: mobile apps, web apps, data visualisations/infographics. |
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This toolkit is open source, licenced cc-by and improvements are encouraged ... |
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| # General Data Hacking and Programming References {#general-data-hacking-and-programming-references} |
# How to register and submit your entry |
| ## The basics of being a data scientist |
## Registering your team |
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Coming Soon: how to use the website "Hacker Space" to register and find teams. |
| * 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. |
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| * Find the people and tools you need to prove/show/find. This rest of this page will help with the latter. |
## Preparing your submission |
| * 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. |
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| Please note, there are a combination of Analysis and Visualisation tools in each of the major categories below. |
You should record a 3 minute speech and mix images/text to accompany. |
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http://www.screenr.com/ and other screencasting tools allow you to demo apps. |
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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/ |
| [](http://www.govhack.org/wp-content/uploads/How-to-participate-in-GovHack_html_m6a65720f.gif)</dt> |
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| Illustration from Data Journalism Handbook, CC BY-SA 3.0</dd> |
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. |
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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. |
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| 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 |
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# General References {#general-data-hacking-and-programming-references} |
| [datajournalismhandbook.org](http://datajournalismhandbook.org/) |
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| 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 |
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| practical advice check out Data Analysis with Open Source Tools by Philipp K. Janert |
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| For further reading in this space |
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| [http://flowingdata.com/2012/04/27/data-and-visualization-blogs-worth-following/](http://flowingdata.com/2012/04/27/data-and-visualization-blogs-worth-following/) |
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| **Statistics** |
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| [http://greenteapress.com/thinkstats/html/index.html](http://greenteapress.com/thinkstats/html/index.html) |
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| **Programming** |
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| Programming is valuable skill for manipulating and displaying data. |
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| Basic tutorials for a variety of languages are available for free online or you can learn |
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| 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/) |
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| [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 |
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| **Accessibility/User Experience** |
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| 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/) |
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| ## Who can be a hack day participant |
## Who can be a hack day participant |
| - roles; coder, designer UX/graphics |
- roles; coder, designer UX/graphics |
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| ## Definitions |
## Definitions |
| - definitions, open licence reuse permissive hacker hack data journalism data bis UCX etc. |
- definitions, open licence reuse permissive hacker hack data journalism data vis UX etc. |
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## The basics of being a data scientist |
| ## key datasets |
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| - key datasets, directory.gov.au gazetter/AEC electorates/suburbs/postcodes/LGAs |
* 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. |
| |
* Find the people and tools you need to prove/show/find. This rest of this page will help with the latter. |
| ## examples |
* 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. |
| ## The Open Budget |
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[](img/How-to-participate-in-GovHack_html_m6a65720f.gif)</dt> |
| ## WeatherTree weather API |
Illustration from Data Journalism Handbook, CC BY-SA 3.0</dd> |
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| ## PlanningAlerts |
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 |
