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Dashboard Week – Day 2: Global Coal and Metal Mine Production

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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It’s Day 2 of Dashboard Week and we’re alternating to Power BI for today’s challenge.

The beautiful Chantel chose an extensive and clean dataset relating to global coal and metal mine production. A bit about the data – 1,171 mines, 80 materials, 12 tables structured as a relational database and reports made at a mine-level dating from 2000 – 2021. Spookily ironic, as I had a recent discussion with a few members of my cohort about this very topic, so I was excited to get some answers.

As with these daily dashboard-challenges, my aim was to narrow down the topic and identify a storyline within the data. Although I decided to focus on coal mining production very early in the game, determining which tables to include in my data model served to be difficult. The reason being, I still needed to have a base understanding on the metal mining components to ensure I didn’t miss any coal related mining data to piece together a viable storyline.

Behold, the final schema.

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Click here to see the final dashboard 🙂

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