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 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.
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.
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