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

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.

• 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.

  

3. 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.

4. Display the sample metadata, i.e., an individual's demographic information.

5. Display each key-value pair from the metadata JSON object somewhere on the page.

6. 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/