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Dashboard Week – Day 5: In the Ocean

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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Hey everyone!

It’s finally the last day of the dashboard week. Today’s dataset is very interesting which is about shark attacks in the last decade.

The Workflow

The data was not clean especially with the date and time format due to different style in reporting over time, even with the content in each row. So after cleaning in Alteryx, I also used Tableau to categorise shark species and type of activity.

This below workflow was used to prepare for the data that I found to supplement my dashboard. It is about the average temperature in Australia and USA, used for the scatter plot.

The Dashboard

The dashboard provides information about species reported to attack the most, countries and states that have people encountered shark attacks and the trend over the year.

The bottom two charts present the frequency that shark attacks usually happened, which was mainly in summer as the temperature rose. However, white sharks, the species that have been reported to attack humans for frequently than any other species, can start coming closer to the shore at temperatures as low as below 20 degrees.

 

 

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