Bounty: Visualise the Numbers
How can people better view data on GovCMS in visuals?
Go to Challenge | 10 teams have entered this challenge.
Null VRiables
Explosions of colour rip through the night sky, emanating from a single source and branching like lightning during a sultry summer storm. The bright flashes lighting up the sky like a...speed camera?
As a rule, art is the use of technical ability and imagination to express the beauty and emotional power of subjects, that invoke a powerful reaction in the heart of the beholder. Whereas, speed cameras are the use of technology to test the speeds of Canberran’s and invokes a powerful reaction to the hip pocket of careless drivers.
Our mission is to create something that could be considered beautiful from data that is linked to a subject that is perceived to be so ugly and emotionally charged. Like the sight spring blossoms of Floriade, like the sunset over the Brindabella’s. Behold the Beautiful Infringements of Canberra.
We don’t claim to be renaissance artists, but, how hard could it be?
Using the 2018 Traffic speed camera locations data from the ACT Government, we loaded the infringement notices for all fixed speed cameras across the ACT into a force directed graph for use within a virtual reality or Augmented reality headset.
A force directed graph allows the use of physics based springs and colliders within Unity3D. The heirarchy then forces the nodes out from the City root node, to each relevant speed camera and finally to all infringements that those cameras issued this year.
Rather than hack these datasets to argue for or against the use of speed cameras, we have used Virtual Reality to turn the infringement data from something that is often perceived to be ugly, into something....beautiful.
Description of Use Utilised this data to compliment the speed camera locations data-set to help build the visualisation.
Description of Use Exported as CSV and imported into project for 3d visualization
Go to Challenge | 10 teams have entered this challenge.
Eligibility: Must use at least one dataset from dataACT
Go to Challenge | 9 teams have entered this challenge.
Eligibility: Must use at least one dataset from dataACT
Go to Challenge | 8 teams have entered this challenge.
Go to Challenge | 13 teams have entered this challenge.
Go to Challenge | 27 teams have entered this challenge.
Eligibility: Must use at least one dataset from dataACT
Go to Challenge | 13 teams have entered this challenge.
Eligibility: Must use at least one dataset from dataACT
Go to Challenge | 9 teams have entered this challenge.
Go to Challenge | 34 teams have entered this challenge.
Eligibility: Use at least two data sets (at least one from data.gov.au) to help government make a decision that will improve services for people. Any code produced for your entry must be published on github under an open license. If your entry is not software, you will need to show the working behind your use of data along with any calculations and analysis you did. You must indicate which specific government agency (at any level of government) can take action based on your entry.
Go to Challenge | 58 teams have entered this challenge.
Eligibility: Must use at least one dataset from dataACT
Go to Challenge | 5 teams have entered this challenge.