Plotly

1. Use the D3 library to read in samples.json.

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2. 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.

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3. 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.

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

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

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6. Update all of the plots any time that a new sample is selected.

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7. Deploy to GitHub Pages to share with others outside of a local server

• Local Server - In GitBash type python -m http.server
• Add localhost:8000 to browser