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. Point Mapper

Uploading Point Collections

PreviousShaping Data for Point CollectionsNextCreating Themes for Profile Collections

Last updated 2 years ago

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Data is uploaded to Wazimap NG using Django (which can be accessed ). Once you are logged in, scroll down to the POINTS section, and click on the +Add button next to Collections (see Figure 5, below).

On the following page, do the following (refer to Figure 6, below):

  1. Select (from the dropdown list) the Profile which should be associated with your point collection;

  2. Give your point collection a Name;

  3. Select the appropriate Permission type (Public or Private);

  4. Import your point collection by clicking Choose file and selecting the .csv file you exported earlier;

  5. Add the Source information; and

  6. Scroll down and click Save in the bottom right hand corner.

Public & Private Datasets

Datasets can be set as Public or Private under Permission type. Public datasets, and variables derived from them, can be used on any profile in Wazimap NG. This enables reuse of valuable datasets without the need for each use case to source, and upload the data again. Private datasets and variables derived from them can only be used on the profile they are assigned to under Profile.

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Your point collection (datatset) should now be added to Django. To display your point collection on Wazimap NG, you must first create a Theme, and then a Profile Collection (from your point collection), which will be nested under your Theme. Themes and Profile Collections are vital in displaying data using the Point Mapper on Wazimap NG.

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Figure 5: In Django, click here to add a new point collection
Figure 6: Relevant fields when adding a new point collection