An interactive web application providing live gathering, processing, visualisation and analysis on dwelling data in Melbourne during the period 2002-2016.
Home
Data Source Page
Data Analyze Page
Pivot Table Page
Our Insight Page
Data collected as part of the City of Melbourne's Census of Land Use and Employment (CLUE). The data covers the period 2002-2016. The dwelling data is based on the Council's property rates database, using a simplified classification schema of Residential Apartment, House/Townhouse and Student Apartment. The count of dwellings per residential building is shown.
New Column
New column "Dwelling number class" got added to make it possible to classify records based on "Dwelling number class" instead of unique dwelling number which are too many to display.
File Format Transfer
- The original data file is transferred from CSV format to HDF5 format to help pandas read fastest.
- The original data file also got transferred to static JSON file to allow applying AJAX to read data (only for this moment, API views would be enabled for data source page in the future).
Moved to settings.
The steps below will get you up and running with a local development environment. All of these commands assume you are in the root of project.
You’ll need at least Docker 1.10.
If you don’t already have it installed, follow the instructions for your OS:
On Mac OS X, you’ll need Docker for Mac.
On Windows, you’ll need Docker for Windows.
On Linux, you’ll need docker-engine.
This can take a while, especially the first time you run this particular command on your development system:
$ docker-compose -f dev.yml build
Open a terminal at the project root and run the following for local development:
$ docker-compose -f dev.yml up
Now that the server’s running, visit http://127.0.0.1:8000/ with your Web browser.