In this assignment, you will build an interactive dashboard to explore the Belly Button Biodiversity dataset (http://robdunnlab.com/projects/belly-button-biodiversity/), 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.
Step 1: Plotly
- Use the D3 library to read in
- Create a horizontal bar chart with a dropdown menu to display the top 10 OTUs found in that individual.
sample_valuesas the values for the bar chart.
otu_idsas the labels for the bar chart.
otu_labelsas the hovertext for the chart.
- Create a bubble chart that displays each sample.
otu_idsfor the x values.
sample_valuesfor the y values.
sample_valuesfor the marker size.
otu_idsfor the marker colors.
otu_labelsfor 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.
- 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. An example dashboard is shown below:
- You will need to modify the example gauge code to account for values ranging from 0 through 9.
- Update the chart whenever a new sample is selected.
- Deploy your app to a free static page hosting service, such as GitHub Pages. Submit the links to your deployment and your GitHub repo.
- Ensure your repository has regular commits (i.e. 20+ commits) and a thorough README.md file
- Refer to the Plotly.js documentation when building the plots.