Closed murrayds closed 4 years ago
I can do that because I have a kind of systematic code for this figure:) I will assign myself.
This is example on Cali. Is there any comment (put labels, or remove labels etc...) @murrayds
Very nice! I think the amount of detail is good. My only suggestion would be to increase the font-size of the city names, to make them more visible.
Also, we can replace "San Fransisco\nBerkley" with "San Francisco Bay Area" to capture the entire metro region.
Yeah, then I will move to NewYork:)
Any comment? @murrayds
I love it!
But I am wondering here (and in the California figure) if we want to include the word "Univeristy" in the labels? Maybe we can jsut have 'Stanford University' -> 'Stanford'; 'Cornell Univeristy' -> 'Cornell', etc.? This would save some valuable space
Perhaps we can also fold the 'Company' category into the 'Other' category since the colors are the same and they are both pretty small?
But I am wondering here (and in the California figure) if we want to include the word "Univeristy" in the labels? Maybe we can jsut have 'Stanford University' -> 'Stanford'; 'Cornell Univeristy' -> 'Cornell', etc.? This would save some valuable space
Yeah, I was thinking about that:) I will reflect those comments.
Perhaps we can also fold the 'Company' category into the 'Other' category since the colors are the same and they are both pretty small?
Ok, I will merge up after you are done with looking into Government Issue. Then, total classification will be univ, hopsital, Institute, Teaching, Other?
Btw, there is "real" government thing (NY state dep. of health)
Done. Let me know if you have a comment!
Just as we have the Massachusetts sub-plot in our UMAP projection, we should create several other examples to include in the supporting material. Specifically, we should include:
This, with Massachusetts, should cover some of the biggest states and the biggest university systems. @jisungyoon would you like to do this, or should I?
What we should also do: iterate through all states and automate the creation of (unlabeled) UMAP projections for each.