Beyond clicks and sales

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My son told me yesterday that data analysis is boring.

"Total money wired from one account type to another. The number of umbrellas sold over time to various age groups. Website clicks from different countries, broken down by time of day. Nothing exciting," he said.

So I asked him:

"What about analyzing the contents of garbage cans? Wouldn't that be fascinating? Or fridge contents—imagine predicting a family’s potential health issues based on what they eat (or forget to throw out).

Dream logs could be just as intriguing. Imagine categorizing dreams by themes and emotions, analyzing trends based on sleep habits and cultural influences.

How about haunted places and paranormal activity reports? Tracking ghost sightings by location, identifying patterns, and finding unexpected geographical correlations—now that’s a dataset with mystery!

And then there’s one of my favourites: analyzing excuses for being late to work. Categorizing them by season, industry, or geography could reveal interesting trends.

A friend of mine once had to rescue me and my dog, Python, after Python got into a heated argument with a porcupine. My friend insisted I send him a picture of Python covered in quills—he said it was his golden ticket to winning a ‘Best Excuse for Being Late to Work’ contest. I have no doubt he won.

So tell me—what kind of interesting data are you analyzing?

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