Emergency: call Tableau

And we're back in Tableau today!

Containers are the best thing ever. Ok, now we can start.

Today's exercise was one from Tableau Accelerator, so something very concrete and that didn't require any kind of data manipulation on our part. We had to choose between four different data sets, I picked Emergency Calls because I really like to optimize this kind of "ticket" response time.

The data set has about 10k rows, each with a unique Incident #. To them, there are several fields, like when they happened, where, how did it take for the response to arrive, etc. So, really cool real-world/fake data set.

The Tableau exercise itself presents us with a few questions, but we should also think of a few ourselves. We should then proceed to build visualisations that helped answer them.

I went for my favorite kind, nothing fancy, basically all bar charts. Quickly realized though that I had way too many and decided to do stuff like loli pop charts just to have some variance there. Bar charts > all. But they do get boring.

I wished I had more time to work with the spatial data provided, alas, it was fun regardless.

Looking forward to the last day of Dashboard week and training tomorrow!

Author:
Lucas Carvalhal Sirieiro
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