How influencer-analysis/instagram-influencer-dashboard works
This is a static, browser-only Instagram influencer analytics dashboard. A visitor explores a category or searches for an influencer; the page fetches precomputed CSV data, parses it client-side, and renders profile, category, recommendation, and glossary views with charts. The four CSVs are documented inputs produced by a separate analytics pipeline. The README describes the runtime flow, but no source excerpts were available, so internal call ownership beyond that documented flow is not inferred.
Main entry points: index.html Dashboard · user_vectors_v2.csv Influencer profiles · user_similarity_topk.csv User similarities · user_item_topk.csv Recommended posts
Components 16
Precomputed Data
- Influencer profiles
data/user_vectors_v2.csv - User similarities
data/user_similarity_topk.csv - Recommended posts
data/user_item_topk.csv - Post features
data/post_vectors_slim.csv
Dashboard Views
- Explore categories
index.html - Category analytics
index.html - Profile search
index.html - Profile analytics
index.html - Similar influencers
index.html - Relevant posts
index.html - Help glossary
index.html
Other components
- Visitor
- GitHub raw CDN
Connections 15
- Visitor → Dashboard: opens
- Influencer profiles → GitHub raw CDN: served as
- User similarities → GitHub raw CDN: served as
- Recommended posts → GitHub raw CDN: served as
- Post features → GitHub raw CDN: served as
- GitHub raw CDN → PapaParse: streams CSV
- PapaParse → Dashboard: provides parsed data
- Dashboard → Explore categories: renders
- Dashboard → Profile search: renders
- Dashboard → Help glossary: renders
- Explore categories → Category analytics: shows
- Profile search → Profile analytics: shows
- Profile search → Similar influencers: shows
- Profile search → Relevant posts: shows
- Dashboard → Chart.js: renders visualizations