Recent comments in /f/dataisbeautiful

IMSOGIRL t1_j4monob wrote

https://www.macrotrends.net/countries/COD/congo-dem-rep/literacy-rate#:~:text=Democratic%20Republic%20of%20Congo%20Literacy%20Rate%20-%20Historical,2001%20%20%2067.17%25%20%20%20-5.97%25%20

Their literacy rates follow a few years after Cobalt production. So the less cobalt they mine, the less educated they get.

It's the same thing in every country: India, China, etc. The more money they make, the more education and higher quality of life they have, and the faster they can stop doing whatever you don't want them to do and move on to doing stuff like innovating.

Somehow I think people like you don't want Africans to get educated at all so you'll still hate it.

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Yordrecht OP t1_j4mj6h8 wrote

I chose these metrics based on either me wanting to make sure I would do them (cleaning, running and working on school), or I thought it would be interesting how often did an activity (drinking coffee, volunteering and how often I see my familiy).

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Ed_Chambers_PP t1_j4mfnj0 wrote

Very interesting stuff. Did you set out with a goal of recording these specific metrics? I am doing a similar project this year for tracking my physical activities. I built a flask web application with a sqlite database, where I enter the name of the activity, date, minutes spent on activity, relative perceived effort, and notes. I'm looking forward to doing some visuals after a few months. I was interested in documenting some other life metrics as well but trying to keep the project scope creep to a minimum.

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ricochet48 t1_j4mejua wrote

Would be interesting to see the % male of these jobs, from the looks of it I would estimate well over 80%, probably closer to 90%.

Logging being on top makes sense, that seems inherently dangerous even with much improved safety standards (wonder how high it was 100 years ago too).

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