Analyze User data

[jonmatthis]

This task is exploratory to get poc's for the different types of analyses.

We will need o use these numbers (and may plots) in the doc to show Things like (past) Growth, and health metrics, etc

Sub-tasks

• [x] - [x] Send @JacKaL37 user data visualization code examples #20

• [x] Point @paulmatthis and @JacKaL37 towards the relevant part of the outline

• [ ] Finish proof of concept code for these analyses/figures:

  • [x] Cumulative pings over time
  • [x] Cumulative unique IPs over time
  • [ ] Global ping map/heatmap (choropleth map) - Ping Lat/Long as dottos on a global map, overlay on heatmap/density showing density (Bonus: Contour lines in heatmap)
  • [ ] (e.g.) New users per week
  • [ ] (e.g.) Number of 1-ping users per week (i.e. bouncers)

[jonmatthis]

@JacKaL37 - Here's a Google Collab notebook @trentwirth put together a while back to look at User data: https://colab.research.google.com/drive/1Tgaz1RKk-u1n8M8GgbGV3GeA2suBgATl?usp=sharing

I shared access with your freemocap.org email

[jonmatthis]

@paulmatthis - here's the most relevant section in the current outline:

https://github.com/freemocap/2024-nsf-pose/blob/main/notes/document-notes/2024-freemocap-nsf-pose-outline.md#sustainability

[JacKaL37]

notes from data chat with @jonmatthis (august 8thish)

Enhancing the user model:

• preliminary user login data (gdrive)
  • choropleth heatmap
  • cumulative unique users
  • new users per week, single-ping-users per week (intelligent bins)
  • polish plots to shininess
• preliminary AI classroom data (mongodb)
• establish future of user model
  • summaries
  • tag extraction
  • user trajectories
  • milestone establishment (and criteria for success)
• Plateaus, Dips, and Leaps (cite me!)
  • instead of dips, we slips?
• establish problems to solve
  • onboarding problems
  • mentorship availability

[jonmatthis]

Updated google sheet to have up-to-date geo data for each ip - @JacKaL37 grabbed that version and will not look back