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Mapping_Instagram_Data

Methods and Strategies for mapping Instagram Data

This notebook shows a step-by-step process for filtering & organizing data from the Instagram API to display on web applications. Uses the following libraries: Pickle, Folium, Fiona, Shapely.

High-Level steps:

  1. Gather data from API, save to file -> SEE HERE!
  2. Read that file, remove extra attributes we don't need
  3. Remove posts without location data
  4. Remove posts that don't lie within a specific geographic area
  5. Continually use inline maps to check our work
  6. Save our cleaned data to geoJSON files for use on the web

Example Usage:

I developed this process to make a visualization of National Parks Photography. Check it out!

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Strategies for mapping Instagram data

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