In this challenge, an interactive dashboard was built 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.
Link to Belly Button Biodiversity Dashboard
-
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.
- Create 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.
-
Display the sample metadata, i.e., an individual's demographic information.
-
Display each key-value pair from the metadata JSON object somewhere on the page.
- All plots are updated any time that a new sample is selected.
-
Adapted the Gauge Chart from https://plot.ly/javascript/gauge-charts/ to plot the weekly washing frequency of the individual.
-
Example gauge chart modified to account for values ranging from 0 through 9.
-
Chart is updated whenever a new sample is selected.
-
console.log
was used inside js code to preview data -
Reference to plotly documentation: Plotly.js documentation
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/