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Dashboard Week 2-Household Crime Analysis

This post was originally published on The Data School blog between 2018 and July 2025, before our program was renamed to MIP’s Analytics Career Accelerator. References throughout this article to “The Data School” or “DS” all refer to what is now MIP’s Analytics Career Accelerator. The program, its people, and its commitment to launching outstanding analytics careers remain the same – just under a new name.

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Today is the 2nd day of dashboard and the topic is crime data. We can select the topic from Crime and Justice data from ABS and the topic I choose is Crime Victimisation. From this data, the analysis aspect is just for the household crime in 2021-2022 which is the most recent time range.

The data processing work is all done in Power BI. The data is clean and tidy, which I think Power Query is enough for that. The function I use for the first time is “Merge Query” and “Append Query”. With “Merge Query”, I can merge two table with same category columns but different numeric columns. With “Append Query”, I can append data from different crime type with same data structure into the same table.

After I got all these data, I started to explore the data and find insight.  I think the most interesting part for me is the answers from people encountered different crime that if you would tell police when crime happened and why you won’t tell them.

I have published my dashboard to novypro and welcome to have a look and comment.

link: https://www.novypro.com/project/australia-household-crime-in-2021-2022-analysis

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