Recent comments in /f/dataisbeautiful
phdoofus t1_j0xoda5 wrote
- you need to remove the reference year (present day) from this
- this means nothing if it's not discipline specific and very likely even ranking of institution specific and even public vs private
- How are you ever going to get data from private institutions?
guyfromtn t1_j0xnx6b wrote
As a Tennessean I would have not guessed nuclear. But Go Vols!
gabawhee t1_j0xn7d6 wrote
Reply to comment by [deleted] in [OC] We Tried and Ranked EVERY pizza in our city (MONCTON NB, CANADA) by ReelDeadOne
Nah fam of all the Pizzas Pizza Hut is still the most expensive
slsturrock OP t1_j0xn2cv wrote
Reply to comment by peter303_ in [OC] My daily minutes of exercise from 2017 to 2022, before (red) and during (blue) the COVID-19 pandemic, using Apple Watch data (analyzed in R) by slsturrock
Me neither but it’s cool being able to look back at these trends. It would be much more difficult (maybe impossible?) to do so without this kind of device
kyoorius t1_j0xmqpp wrote
Reply to comment by arika_ex in [Topic][Open] Open Discussion Thread — Anybody can post a general visualization question or start a fresh discussion! by AutoModerator
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.
crlogic t1_j0xlq3m wrote
I liked /u/anarcho-stripperism pizza ranking better
peter303_ t1_j0xlped wrote
Reply to [OC] My daily minutes of exercise from 2017 to 2022, before (red) and during (blue) the COVID-19 pandemic, using Apple Watch data (analyzed in R) by slsturrock
I dont need a gizmo to tell me how much exercise I get.
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.
arika_ex t1_j0xkzn9 wrote
Reply to comment by kyoorius in [Topic][Open] Open Discussion Thread — Anybody can post a general visualization question or start a fresh discussion! by AutoModerator
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.
Legallydead111 t1_j0xjfi9 wrote
Reply to comment by tayt087x in [OC] We Tried and Ranked EVERY pizza in our city (MONCTON NB, CANADA) by ReelDeadOne
Hmm that's weird, I thought the photo looked rly good compared to many here
snowfoxsean t1_j0xjc8d wrote
Reply to comment by haz3lnut in Chart: What's the top source of electricity in your state? by MrMike
You know Russia has nukes right? If they want a region to be unlivable for centuries they can already do that.
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.
flyovertwice t1_j0xhquj wrote
Reply to comment by usernameisusername57 in [OC] We Tried and Ranked EVERY pizza in our city (MONCTON NB, CANADA) by ReelDeadOne
That was my thought too. Papa John’s has some of the worst sauce in my area and they gave it an 8.
TMLTurby t1_j0xh084 wrote
Reply to comment by Apollon1212 in [OC] We Tried and Ranked EVERY pizza in our city (MONCTON NB, CANADA) by ReelDeadOne
nimbat1003 t1_j0xgxhh wrote
Sees the pictures damn An how did u screw up Ur reatraunt that much.
glittermouton t1_j0xgfot wrote
Reply to comment by flyingjesuit in [OC] Academic Salary growth as function of time since PhD by pmocz
You’d have to do that by discipline cause in the sciences you don’t get into a doctoral program without having financial support either through scholarship, research associate positions, grants, etc. Very different from the arts from what I’ve heard.
apexmachina t1_j0xf3ax wrote
Reply to comment by GeorgeDaGreat123 in [OC] 2021 and 2022 job searches as a Software Engineering Intern in Canada by GeorgeDaGreat123
Thank you 💜🏴☠️
[deleted] t1_j0xedcx wrote
GeorgeDaGreat123 OP t1_j0xe7d2 wrote
Reply to comment by apexmachina in [OC] 2021 and 2022 job searches as a Software Engineering Intern in Canada by GeorgeDaGreat123
sankeymatic.com
apexmachina t1_j0xdgxc wrote
Reply to [OC] 2021 and 2022 job searches as a Software Engineering Intern in Canada by GeorgeDaGreat123
What data visualization software you use for these plots?
OliQc007 t1_j0xcmsl wrote
Would be interesting to see this with different branches of science to see how they compare
slsturrock OP t1_j0xbkow wrote
Reply to comment by imma_go_take_a_nap in [OC] My daily minutes of exercise from 2017 to 2022, before (red) and during (blue) the COVID-19 pandemic, using Apple Watch data (analyzed in R) by slsturrock
Ya just the default loess via geom_smooth in ggplot. I'd like to take some time to model it more intentionally, but I wanted to start by seeing what trends emerged without imposing any restrictions.
SUPRVLLAN t1_j0xbbwp wrote
Reply to comment by whatasaveeeee in [OC] We Tried and Ranked EVERY pizza in our city (MONCTON NB, CANADA) by ReelDeadOne
…so the same price.
SUPRVLLAN t1_j0xb9zk wrote
Everybody knows the rules.
RunnerMcRunnington t1_j0xphe5 wrote
Reply to [OC] Breakdown of ingredients in popular grilled cheese recipes by ns0
A legend could go a long ways here.