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Free experiments exploring ability to visualize Khan spreading

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Khan data visualization globe

It is built on two code examples and some D3 parsing:

Used data

Four data files are used:

  • world-50m.json contains country geometry, and country IDs
  • iso_3166.csv is used to map country IDs to country names
  • world_languages_parsed.csv is a semi-manually parsed file mapping countries to their official language
  • khan_translation_information.csv contains KhanAcademy translation rate information

So. The data is mapped in the following way:

  • IDs for each country is received from the geometry. These IDs are then mapped to country names.
  • Each country name is mapped to its language and that is used to retrieve its translation percentage.

Translation percentage is then visualized using a gradient scale.

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