Local and federal governments have significant amounts of data that they have opened for public use. We know that currently, these datasets are gold mines to provide unbiased education of young people on the world they live in, but aren’t accessible in a fun or even simple manner. In fact, they often require significant understandings of data analysis to make sense of.
Correlation Explorer is a website that allows users to find trends between different data variables from open data. For the purposes of this challenge, users can upload their own datasets to find correlations on our graph. In the future, our recommended datasets will also be uploaded for use.
As seen by the success of a viral correlations website (Spurious Correlations), the first step to engagement is creating something people want to engage with; something fun and user friendly. This can benefit young people looking for some fun relationships; for example, while building this program we found correlations between number of dentist practices and child protection services, as well as number of liquor licences and kindergardens. However, this data can also expose and quickly validate important issues; we found correlations between Indigenous populations and unemployment, as well as single parents and decreased personal incomes.
The possibilities of datasets used are endless, and we encourage local governments to send in their own data. In the future, we aim to upload a large dataset for the user’s use, and to add interesting information on each variable below the graph. The room for future education is infinite; the first step is to engage.