https://github.com/fbarffmann/belly-button-challenge
Built an interactive JavaScript dashboard to visualize bacterial biodiversity from belly button samples. Analyzed data from 153 participants and identified OTU 1167 as the most common bacteria.
https://github.com/fbarffmann/belly-button-challenge
biodiversity dashboard data-analysis data-visualization interactive-charts javascript json plotly
Last synced: about 21 hours ago
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Built an interactive JavaScript dashboard to visualize bacterial biodiversity from belly button samples. Analyzed data from 153 participants and identified OTU 1167 as the most common bacteria.
- Host: GitHub
- URL: https://github.com/fbarffmann/belly-button-challenge
- Owner: fbarffmann
- Created: 2024-07-31T15:59:27.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2025-04-13T14:34:21.000Z (11 days ago)
- Last Synced: 2025-04-13T15:34:31.497Z (11 days ago)
- Topics: biodiversity, dashboard, data-analysis, data-visualization, interactive-charts, javascript, json, plotly
- Language: JavaScript
- Homepage: https://fbarffmann.github.io/belly-button-challenge/
- Size: 40 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Belly Button Biodiversity Dashboard
Built an interactive dashboard using JavaScript and Plotly to visualize bacterial biodiversity from human belly button samples. Analyzed sample data to explore bacterial distribution across over 150 participants.
## Tools & Technologies Used
- JavaScript
- Plotly.js
- HTML/CSS
- JSON data handling
- Data Visualization
## File Structure
```text
.
├── index.html - Dashboard web page
├── static/js/app.js - JavaScript logic for charts
├── samples.json - Dataset of participant bacterial samples
```
## Skills Demonstrated
- Building interactive dashboards with JavaScript
- Visualizing hierarchical biological data
- Cleaning and transforming JSON data for analysis
- Using Plotly for dynamic charts and visual storytelling
## Key Findings
- Analyzed belly button bacterial data from 153 participants.
- Identified OTU (Operational Taxonomic Unit) 1167 as the most common bacteria across participants.
- Created interactive visualizations to display sample diversity and washing frequency per participant.