For this project, I built an interactive dashboard to explore the Belly Button Biodiversity dataset, which catalogs the microbes that colonize human navels.
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.
Using the d3.js library to read in samples.json
,
I created a horizontal bar chart with a dropdown menu to display the top 10 OTUs found in that individual.
-
sample_values
defined the values for the bar chart. -
otu_ids
are the labels for the bar chart. -
otu_labels
as the hovertext for the chart.
- Adapted the Gauge Chart from https://plot.ly/javascript/gauge-charts/ to plot the weekly washing frequency of every individual, modifying the example gauge code to account for values ranging from 0 through 9.
A colorful bubble chart that displays each sample.
-
otu_ids
for the x values,sample_values
for the y values. -
sample_values
for the marker size. -
otu_ids
for the marker colors. -
otu_labels
for the text values.
Each sample's metadata, i.e., an individual's demographic information, are displayed by highlighting each key-value pair from the JSON object.
The dashboard dynamically updates all of the plots any time that a new sample is selected!
The initial dashboard is shown below:
The app was deployed to GitHub Pages, a free static page hosting service.
Hulcr, J. et al.(2012) A Jungle in There: Bacteria in Belly Buttons are Highly Diverse, but Predictable. Retrieved from: http://robdunnlab.com/projects/belly-button-biodiversity/results-and-data/
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