Closed brentryanjohnson closed 6 years ago
FYI these are manually drawn ... in sketch. :/
I know...we'll need to continue our discussions re: the maintainability of case studies as a whole.
Next step: Pull latest-year numbers from the charts, and identify whether we can get that data from the visuals within 1-2 hours. (If not, we'll request further data files.)
@coreycaitlin and @ericronne I'm chipping away at adding the new data values (above).
@coreycaitlin and @ericronne I finished pulling out the updated values (above). They should be ready to incorporate into the Sketch charts.
Excellent! Now they're my problem :) Stay tuned.
Something seems fishy in boone county...
My guess is that the old chart is a stacked bar. The campbell chart matches up fine, except for 2014...
Also there's no percentage figure for 2015. Something we can calculate?
Dropped drafts (including images of problematic employment bars) into the mega-note atop this issue.
An early 🎁 for y'all, cuz i care.
Hmmm...looking back at #1603, It looks like the Boone numbers might have been accidentally exaggerated at some point. Last year's "other industries" values hovered around 20,000 (not over 25,000, as in the current chart). It seems the chart values we were given this year are more or less consistent with past years.
As for Campbell County, the percent value for 2015 is 29.7%, rounded to 30%.
@ericronne and @coreycaitlin I checked the Boone, Logan, and Mingo data against the census source data, and it appears the data as currently represented on the site is accurate (the chart we received this year doesn't appear to be accurate). I pulled the 2015 values from the source:
Still blocked by needing further data validation.
Next step: Identify and list outstanding charts that need updating or validation, and come up with a plan to move forward.
2015 values:
Next step: Change "All other industries" label to "Total employment". Chart 2016 values.
2015 values:
2014 values (revise):
Next step: Ask @ericronne to update with latest values. Update 2014 values. Replace "All other industries" label with "Total employment".
2015-16 values:
2015:
2016:
Next step: Ask @ericronne to update with latest/updated values; the differences are small enough that they're likely because of normal data updates
This one is missing the 2016 addition.
2016 values:
Next step: Ask @ericronne to add 2016 data to the chart
2015, 2016 values:
2015
2016
Next step: Ask @ericronne to chart 2015 and 2016 values.
Next step: @brentryanjohnson to gather final numbers and clarify outstanding questions here.
We received the origin data from Deloitte, but we're still awaiting explanations from them regarding some discrepancies in the data. For that reason, I've added the workflow: blocked
label back.
Remaining questions:
The Excel chart labels the y-axis as "Number of paid employees". How is that different than "Total Employment"? Does "Total Employment" include unpaid employment/volunteerism of some kind?
If "Paid Employment" is derived from all industries that pay employees, why don't the "Mining Industry" and "All Other Industries" values add up to the "Total Employment" value (they add up to Total Employment only for 2004)? What figures in to "Total Employment" that is not captured in Mining + All Other Industries?
The stacked bar chart style implies that the "percentage of Employment" value is the percentage of Mining compared to Mining plus All other industries, but that isn't the case. The percentage is calculated as the percentage of mining as a portion of total employment. This is an issue because Mining + All other industries doesn't equal Total Employment.
In 2015, the value for "All Other Industries" is larger than "Total Employment" for the same year. How is that possible?
So we've discovered that Jobs in sector + Jobs in all other industries ≠ Total Employment in the Bureau of Labor Statistics data. The Deloitte data charted mining jobs and all other industry jobs, but presented the percentage as mining jobs as a portion of total employment (for Boone, Logan, Mingo).
To move this forward, we decided to omit the "All other industries" values and stack-chart mining and total employment. The chart on the site now uses the "Total Employment" figure instead of the "All other industries" value, even though the latter is represented as the difference of mining employment and total employment.
We have a path forward. I will circle back with @ericronne to move this forward.
@ericronne The updated values and labels should be ready to chart; they are in the comment above.
Let me know if you have any questions or concerns.
It's time to update our case study charts again.
2015 values:
Draft for proofing
2015 values:
Problem with this (and most employment charts)
2015 values:
Draft for proofreading
2015 values:
Problem
2015-16 values:
Draft for proofing
-[ ] Desoto wage and salary employment chart Chart 2: Wage and salary employment
2015-16 values:
2015:
2016:
Problem
Chart 3: Sales and use taxes
2015 values:
Draft for proofing
2015 values:
Draft for proofing
Chart 2: Gold mining employment
2015 values:
Draft for proofing
2016 values:
Draft for proofing
Chart 1: Gold production
2015 values:
Draft for proofing
Chart 2: Gold mining employment
2015 values:
Draft for proofing
Chart 1: Oil production
2015, 2016 values
Draft for proofing
2015, 2016 values:
Problem
2015, 2016 values:
Draft for proofing
Chart 1: Iron production
2014 values:
Draft for proofing
[ ] North Slope Borough
[X] Oil production chart Chart 1: Oil production
2015 values:
Draft for proofing
-[X] North Slope employment chart Chart 2: Employment
2015 values:
-[X] The existing chart is being replaced by this one: Chart 3: Alaska production and gas tax
This is a completely revised chart to replace the current one. Here are the new values:
Not sure what's going on here
Chart 1: Copper production
No update
2015 values:
Draft for proofing
Chart 1: Iron ore production
2014 values:
Draft for proofing
Chart 1: Natural gas production
2015, 2016 updates:
2015:
2016:
Draft for proofing
Chart 2: Wage and salary employment
2015:
2016:
Draft for proofing