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Sorry bad copy here it it
Here it is <span style=”font-size: 9pt; font-family: Montserrat, sans-serif; color: #1155cc; background-color: #eeeeee; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; font-variant-emoji: normal; text-decoration-line: underline; text-decoration-skip-ink: none; vertical-align: baseline; white-space-collapse: preserve;”>https://codap.concord.org/app/static/dg/en/cert/index.html#shared=https%3A%2F%2Fcfm-shared.concord.org%2FXFSZJOVGRN8m70QskNWd%2Ffile.json</span>
Thanks Dan that is super helpful. One more quick follow-up question. When I go to reduce the file size to download as a geoJSON is there a ballpark file size you all recommend to work well with CODAP?
Thank you. That is exactly the type of thing I am trying to do just for NC currently. If I am following what you did in your file it looks like you are have census tracks built into CODAP now that I can just use the lookupbykey function to add to a data table that has a Census Track variable with the numerical census track numbers. Is that correct or did you do some other magic in the background I am missing?
Good to know. Thank you. Two follow-up questions
How do you see the size of the file while in CODAP?
Do you have recommendations as a designer on what size to try and keep files under so there are not issues?
Thanks,
Travis
That is helpful to know.
A super useful feature would be if the count measure could count the observations on either side of a function or value. In research on finding a line of best fit one strategy kids often use is getting the same number of observations above and below a line. Also the quadrant count ratio is a development measure building towards R that is suggested in the NCTM essential understandings books and GAISE II framework so I could see it being helpful there to. In small datasets we can often eyeball it but in moving toward more of a data science big data set focus it becomes challenging so a technological tool would be helpful.
Thank you all for all you do!
Thank you!
Follow up question. If I want to map an attribute does it need to be at the same level as the boundaries? In other words if I wanted to see the average driver age for each district would I need to create that attribute myself at the same level as the boundaries or would CODAP do that if I drag and drop the attribute at the lower case level onto the map?