In this assignment, 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.

I used the D3 library to read in samples.json from the URL https://2u-data-curriculum-team.s3.amazonaws.com/dataviz-classroom/v1.1/14-Interactive-Web-Visualizations/02-Homework/samples.json.

I created a horizontal bar chart with a dropdown menu to display the top 10 OTUs in a determinate sample.

I used sample_values as the values for the bar chart.

I used otu_ids as the label for the bar chart.

I used otu_labels as the hovertext for the chart.

I created a bubble chart that displays each sample.

I used otu_ids for the x values.

I used sample_values for the y values.

I used sample_values for the marker size.

I used otu_ids for the marker colors.

I used otu_labels for the text values.

I displayed the sample metadata, i.e., an individual's demographic information.

I displayed each key-value pair from the metadata JSON object on the page.

I updated all the plots in case a new sample is selected. Additionally, I created a layout for the dashboard.

I deployed my app to a free static page hosting service, such as GitHub Pages

I adapted the Gauge Chart from Plotly to plot the weekly washing frequency of each individual.

I modified the example gauge code to account for values ranging from 0 through 9.

Also, I updated the chart in case a new sample is selected. Here is the result:

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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