Wazimap profile curation handbook
  • Start Here
    • Introduction
  • Point Mapper
    • What is Point Mapper?
    • Shaping Data for Point Collections
    • Uploading Point Collections
    • Creating Themes for Profile Collections
    • Creating Profile Collections from Point Collections
    • Uploading additional points to an existing Point Collection
    • Editing existing Point Data in Django
    • Bulk updates to an existing point collection
    • Navigating Point Mapper
  • Profile Admin
    • Creating Datasets
    • Sub-Indicator groups (columns)
    • Creating Universes
    • Creating Variables
    • Creating Point Collections
    • Creating a Profile Highlight
    • Creating Profile Indicators
    • Creating a Profile Key Metric
    • Managing Categories and Sub-Categories
    • Managing Point Themes and Profile Collections
    • Profile configuration options
  • Curation Concepts
    • Geography Codes
    • Zero-values vs missing data
    • Glossary
  • Common practices
    • General
    • SANEF election dashboard
    • Africa Data Hub
    • Data handling tips
  • Promotion and usage
    • Analytics
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  1. Profile Admin

Creating Universes

A universe refers to the population against which the variable is being applied. Universe can also be left as blank which would then apply to everyone.

To create universes, you will need to write a bit of json.

The structure of this is:

{
"Variable Name": "Filter value",
"Another variable__in": ["array", "of", "values"]
}

See below for an example of youth age range universe.

{
  "Age Group__in": [
    "15-19",
    "20-24",
    "25-29",
    "30-35"
  ]
}

This universe when applied to a variable, would include all people within the ages of 15 to 35.

A few notes:

  • It doesn't need to be an array - a single value will also work (e.g. {"Gender": "Female"}

  • It is case sensitive to remember to match the case in the file

  • You can have multiple filters

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Last updated 5 years ago

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