Draw the future!
In order to visualise the future, first we must be able to understand the relationships between our data sets. Tapestry enables us to visualise exactly how changes in data will affect the entire tapestry of information, available to city planners of the future. How do trends in information affect trends in the same time frame?
- Will there be less cars? How does this affect air quality?
- Is the population booming? How does this affect the employment rate?
Tapestry enables you to visualise these relationships as they travel into the future.
Tapestry allows anyone to explore, search for and experiment with their own data stories, based on correlations which have not been considered in the past.
Although correlation is not causation, perhaps trends in information over time have profound, and yet undetermined effects on other datasets.
Evidence of Work
OpenNEM Energy data
Description of Use: Correlating total demand for NSW region (which includes ACT) to make predictions
ACT AQI (Air Quality Index) Live Data
Description of Use: Used to correlate air quality with other values for the same time period, and provide predictions
Births, by year and month of occurrence, by state
Description of Use: To group by month and year, to find trends to match with other data sets
Average Passenger Boardings By Service Type 2017-18
Description of Use: Used to work out the average per month of people catching the bus over a year
🌟 Canberra 2029 – Inclusive; Progressive; Connected
Region: Australian Capital TerritoryChallenge
Australia’s Future Employment
🌟 Pedestrian and Air Quality Sensor Data
Region: New South WalesChallenge