Spice must visualize

Repository: https://github.com/zakhar-kogan/viz-spice-consumption

So, apparently, melange from Dune had increased the lifespan of its consumers. And I wanted to practice data gathering and visualization in Python…

Presumably, spice consumption should mitigate cancer rates and mortality. Couldn’t help but get some data. Let’s see what we have here…

Spice consumption seems to have a wee little bit of correlation with cancer rates, but this could be confounded by other factors:

Further, higher spice consumption has no correlation with life expectancy:

Yet another weird thing I’ve seen is a correlation between life expectancy and cancer rates:

Turns out it’s a thing, and higher life expectancy is connected to, per-country:

• ⬆️ crude cancer rates

• ⬆️ colorectal, breast and prostate cancers

• ⬆️ survival rates

Considering the last one - there may be a two-way relationship, along with a couple of wild assumptions from my head:

• most top spice consuming countries are not that rich:

• again, “spice-rich” countries don’t have the highest life expectancy ➡️ one may not survive until cancers start massively hitting the coffin nails/bills/doors

• higher life expectancy ➡️ higher GDP ➡️ more likely to have western diet and lifestyle ➡️ rectal/breast/prostate cancers (eating crap, sitting a lot, etc.)

• again, high GDP ➡️ higher healthcare spending ➡️ higher probability of better cancer therapies ➡️ higher survival rates

Another unsurprising correlation:

And, SURPRISINGLY, more money spent on health ➡️ less chance to die of cancer once one has it:

Next in our “I forget to put up utility functions” series:

• scraping (much wow)

• using a workflow engine (such magic), e.g. Windmill because I feel like it

• making a knowledge graph (yipee, everyone already did that!)

• using agents (a bit later)

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