Recent comments in /f/dataisbeautiful

phdoofus t1_j0xoda5 wrote

  1. you need to remove the reference year (present day) from this
  2. this means nothing if it's not discipline specific and very likely even ranking of institution specific and even public vs private
  3. How are you ever going to get data from private institutions?
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kyoorius t1_j0xmqpp wrote

Thanks! Yeah still looking. I know enough GIS to make the river into straight line segments defined by river length with each segment having the attributes of the census boundary it went through, but I don’t know what process to use to “warp” the census boundaries like on that ruler. On the ruler, the boundaries are abstracted bc they’ve been pulled/pushed to make a straight line, but they still correspond to the original geography/topology.

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MultiplyAccumulate t1_j0xlb2i wrote

Actually, it is a graph of salary vs year you got your PhD, not salary vs years since PhD. Someone who gets a PHD today will probably be making much less in 20years, than someone who got their PhD in 1960 after 20years. And year you got your PhD may matter way more than years since PhD.

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arika_ex t1_j0xkzn9 wrote

Are you still looking for advice on this? I’m not familiar with GIS programs so much, but such things could be done through Python or R.

I’d guess the key is just to measure the length of the river point to point and then using overlaps or distance measures to calculate which features exist at which point along the river. The visualisation itself is quite custom, but possible through libraries like ggplot, bokeh, etc. Some labels/annotations might need to be added manually via illustrator or something if there’s a very specific look you are after.

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peter303_ t1_j0xhr4j wrote

Stanford publishes their 2022 faculty average 9-month salaries - $192K, starting at $97K for a lecturer to $268K for full professor. They can add another 30% if they teach in the summer or have research grants for the summer. And they can spend 20% time consulting with no salary limit. Palo Alto is a very high cost of living area.

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