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SF Brigade's Data Science Working Group.

R 1.08% Shell 0.01% Jupyter Notebook 98.83% Python 0.01% TSQL 0.07%
data-science inferential-statistics predictive-modeling data-visualization code-for-sf san-francisco code-for-america

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data-science-wg's Issues

README link broken

Links redirect to the main repo:

  • ParkSafe GIS coordinate realignment (w/street paths) >>
  • Interactive visualization of SF's building emissions and energy use >>
  • MarbleTree: Geo-aggregating mental health resource data >>
  • Adopt-a-Drain: Predicting flooded drains (per drain, zip, and/or day) >>

Question your presentation that Voice-in dominates, Mobile apps is almost half, and will soon be the largest.

Hi,

I'm looking at your the SF311 data, where in exploratory data, you present that voice in still dominates the source of SF311 reports. I've been immersed in the SF311 data looking at issues of graffiti, street cleaning, homeless, and find that most reports are from the mobile apps.
I looked at all SF311 source data for 2015 and found the mobile apps is almost catching up with voice in.

Integrated Agency 20,211
Mail in 1
Open311 124,208
Other Dept. 1,107
Twitter 1,539
Voice in 152, 282
Web Self Service 51,231

So the suggestion is that while over the 8 year period your number should be accurate, that things have changed. Mobile data reports is increasing rapidly, and likely be the largest soon.

README Refresh

Hey gang. Looks like the DSWG's main repo README could use to be refreshed, as some 'current' projects have since graduated to completed or 'recent past.' Plus, I believe we've gained a few new projects. Looking forward to seeing y'all tomorrow!

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