Skip to content

Latest commit

 

History

History
17 lines (12 loc) · 899 Bytes

README.md

File metadata and controls

17 lines (12 loc) · 899 Bytes
Raw

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!