Belly Button Biodiversity Visualization

Created an interactive dashboard to visualize information from the Belly Button Biodiversity DataSet from The Public Science Lab at North Carolina State University.

Application link: https://belly-button-gu.herokuapp.com/

Table of contents

• Technologies
• Installation
• Development Process
• Data Sources
• Contact

Technologies

• Python:
  • Flask - version 1.0.2
  • Flask-SQLAlchemy - version 2.3.2
  • Jinja2 - version 2.10.1
  • numpy - 1.14.5
  • pandas - 0.23.3
  • SQLAlchemy - 1.3.0
• Javascript:
  • d3 - version 5.5
  • Plotly - version 1.49.1
• HTML & CSS
  • Boostrap - version 4.3.1

Installation and Usage

1. In a python 3 environment, pip install requirements.txt.

2. Run app.py to host the page locally.

3. When accessing the page, select a sample ID number from the dropdown menu to see the visualizations of that sample belly-button bacteria.

Development Process

• Used Plotly.js to build interactive charts for a dashboard including:
  • Pie chart that displays the top 10 most populous bacteria from the sample.
  • Bubble chart that displays each bacteria present scaled to represent how large the bacteria is in that sample.
  • A gauge that displays the frequency per week with which the participant washed their belly-button.
• Used SQLAlchemy to connect to the SQLite database and query for the necessary data.
• Used Flask to create a RESTful API and to leverage Jinja2 to render the template with the visualizations.
• Launched dashboard as an app on Heroku: https://belly-button-gu.herokuapp.com/

Data Sources

• sqlite database from the Belly Button Biodiversity DataSet http://robdunnlab.com/projects/belly-button-biodiversity/ - A dataset of bacteria gathered from the belly-button of participants in a 2011 - 2012 study from The Public Science Lab at North Carolina State University.

Contact

Created by Gretel Uptegrove