Plot.ly Homework

Rice University Data Analytics and Visualization Boot Camp 2020

This repository contains the following scenario:

Belly Button Biodiversity

In this repo, we build an interactive dashboard to explore the Belly Button Biodiversity dataset, which catalogs the microbes that colonize human navels. The dashboard is deployed on Githup pages and are available on this link.

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. Using the D3 library, read the dataset from samples.json.

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.

  

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.

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

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

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

The final dashboard is shown below:

Deployment

• Deploy the app to a free static page hosting service, such as GitHub Pages.The app is available here.

About the Data

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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