Creating interactive dashboards with Plotly, D3.js, JSON, HTML, and CSS.
Live Github Page (https://autonomousse.github.io/Plotly-Navel-Biodiversity-Dashboard/)
Build 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.
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Use the D3 library to read in
samples.json
. -
Create a horizontal bar chart with a dropdown menu to display the top 10 OTUs found in that individual.
-
Use
sample_values
as the values for the bar chart. -
Use
otu_ids
as the labels for the bar chart. -
Use
otu_labels
as the hovertext for the chart.
- Create a bubble chart that displays each sample.
-
Use
otu_ids
for the x values. -
Use
sample_values
for the y values. -
Use
sample_values
for the marker size. -
Use
otu_ids
for the marker colors. -
Use
otu_labels
for the text values.
-
Display the sample metadata, i.e., an individual's demographic information.
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Display each key-value pair from the metadata JSON object somewhere on the page.
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Update all of the plots any time that a new sample is selected.
Additionally, you are welcome to create any layout that you would like for your dashboard.
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Adapt the Gauge Chart from https://plot.ly/javascript/gauge-charts/ to plot the weekly washing frequency of the individual.
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You will need to modify the example gauge code to account for values ranging from 0 through 9.
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Update the chart whenever a new sample is selected.
- Refer to the Plotly.js documentation when building the plots.
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/