In this assignment, I have 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. The following steps are the directions I was given.
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Used the D3 library to read in
samples.json
. -
Created a horizontal bar chart with a dropdown menu to display the top 10 OTUs found in that individual.
-
Used
sample_values
as the values for the bar chart. -
Used
otu_ids
as the labels for the bar chart. -
Used
otu_labels
as the hovertext for the chart.
- Created a bubble chart that displays each sample.
-
Used
otu_ids
for the x values. -
Used
sample_values
for the y values. -
Used
sample_values
for the marker size. -
Used
otu_ids
for the marker colors. -
Used
otu_labels
for the text values.
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Displayed the sample metadata, i.e., an individual's demographic information.
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Displayed each key-value pair from the metadata JSON object somewhere on the page.
- Updated all of the plots any time that a new sample is selected. An example dashboard is shown below:
I have deployed the assignment to GitHub Pages. The link to my Github Page is here: Belly Button Dashboard
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/