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The HRI Data Lab is an interactive data visualization tool which provides timely and relevant data on housing and homelessness. Users can interactively generate tables and graphs which are available for direct download. The dashboard will be updated on a quarterly basis.
The group is based out of the Australian National University. It provides a place to share data and data analysis for social scientists and those interested in data visualization. The data provided by this group is available for download and uses a number of tools, including R and Tableau.
Users are able to navigate and search through the data using the interactive dashboard. On-screen filters for data type, job group and location are available and allow users to select specific data sets.
Users are able to navigate and search through the data using the interactive dashboard. On-screen filters for data type, location, and job type are available and allow users to select specific data sets.
The HRI Data Lab is designed to provide information at a local level. The dashboard includes information on the number of households experiencing homelessness and the number of people experiencing homelessness in particular locations. Users can also explore data on the number of households experiencing homelessness in specific locations and by housing market segment.
The Staffing Dashboard is designed to provide information at an institutional level. Institutional boundaries are a particularly useful tool for identifying trends and patterns at a macro level. The dashboard includes information on staffing levels by council, council region, state/territory, and national. Users can also explore data on the employment of different job groups.
Use the Staffing Dashboard to identify trends and patterns in staffing trends. For example, you might want to access information on the number of data analysts across the country and see how this is changing over time. The dashboard also allows users to drill down into specific institutions or jobs to identify trends in staffing for specific regions or organisations.
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