Skip to content

Developed a dashboard visualizing the belly button diversity of participants in a research study. Using d3.js and plotly, developed a web page that enables users to toggle between the findings of different participants.

Notifications You must be signed in to change notification settings

McGlash/Belly-Button-Biodiversity-Dashboard

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

12 Commits
 
 
 
 
 
 

Repository files navigation

Belly Button Biodiversity Dashboard

Bacteria by filterforge.com

I built an interactive dashboard to explore the Belly Button Biodiversity dataset, which catalogs the microbes that colonize human navels.

Deployed : https://mcglash.github.io/Belly-Button-Biodiversity-Dashboard/

The dataset reveals that a small handful of microbial species (also called operational taxonomic units, or OTUs, in the study) were present in more than 70% of people, while the rest were relatively rare.

Approach

Step 1: Plotly

  1. Used the D3 library to read in samples.json.

  2. Created a horizontal bar chart with a dropdown menu to display the top 10 OTUs found in that individual.

bar Chart

  1. Created a bubble chart that displays each sample.

Bubble Chart

  1. Displayed the sample metadata, i.e., an individual's demographic information.

  2. Displayed each key-value pair from the metadata JSON object somewhere on the page.

hw

  1. Updated all of the plots any time that a new sample is selected.

  2. Adapted the Gauge Chart from https://plot.ly/javascript/gauge-charts/ to plot the weekly washing frequency of the individual.

Weekly Washing Frequency Gauge

About the Data

Hulcr, J. et al.(2012) A Jungle in There: Bacteria in Belly Buttons are Highly Diverse, but Predictable. Retrieved from: http:https://robdunnlab.com/projects/belly-button-biodiversity/results-and-data/


© 2019 Trilogy Education Services

About

Developed a dashboard visualizing the belly button diversity of participants in a research study. Using d3.js and plotly, developed a web page that enables users to toggle between the findings of different participants.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages