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Administrative statistics #31

@gchoy

Description

@gchoy

Problem: Calculate and display metrics relating to how well CI staff is identifying animals, because animals in photos are currently manually identified by members of CI staff (as opposed to via an automated computer vision algorithm).

Desired Solution: Count catalogers, image uncertainty by cataloger, Count of images per cataloger
** results should be both cumulative as well as filterable by user defined date range.
Metrics:

  • Count of catalogers - [Count how many catalogers there are by Project ID]
  • Image uncertainty by cataloger - [Count each level of uncertainty grouped by Cataloger]
  • Count of images per cataloger - [Count of number of images grouped by Cataloger]

The metrics should be displayed in a new tab labeled Operational Statistics. New metrics should be displayed in tabular form. For example:

  • Count of images per cataloger:
Cataloger # of images Project ID
Name number
  • Image Uncertainty by cataloger:
Cataloguer # of Images Level of Uncertainty
Person 1 number absolutely sure
Person 1 number not sure
Person 1 number pretty sure
Person 2 number absolutely sure
Person 2 number not sure
Person 2 number pretty sure

Columns names from csv files:

Deployment CSV Cameras CSV Images CSV
Deployment ID Project ID Project ID
Event Camera ID Deployment ID
Array Name Make Image ID
Deployment Location ID Model Location
Longitude Resolution Serial Number Photo Type
Latitude Resolution Year Purchased Photo Type Identified by
Camera Deployment Begin Date Genus Species
Camera Deployment End Date Uncertainty
Bait Type IUCN Identification Number
Bait Description Date_Time Captured
Feature Type Age
Feature Type methodology Sex
Camera ID Individual ID
Quiet Period Setting Count
Restriction on access Animal recognizable (Y/N)
Camera Failure Details individual Animal notes

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