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used HTML, Javascript, json, d3 and API calls to do an analysis on gut biomes using data from over 1000 patients and deployed the analysis onto github pages

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Plot.ly Homework - Belly Button Biodiversity

In this assignment, you will build 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.

Step 1: Plotly

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

  2. Create a horizontal bar chart with a dropdown menu to display the top 10 OTUs found in that individual.

image

  • 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.

  1. Create a bubble chart that displays each sample.

image

  • 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.

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

image

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

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

Deployment

  • 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

Hints

  • Use console.log inside of your JavaScript code to see what your data looks like at each step.

  • Refer to the Plotly.js documentation when building the plots.

Rubric

Unit 14 Rubric - Plot.ly Homework - Belly Button Biodiversity


References

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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used HTML, Javascript, json, d3 and API calls to do an analysis on gut biomes using data from over 1000 patients and deployed the analysis onto github pages

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