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Plotly-Navel-Biodiversity-Dashboard

Creating interactive dashboards with Plotly, D3.js, JSON, HTML, and CSS.

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.

  • 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.

    bar chart

  1. 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.

    bubble chart

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

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

    demographic info

  3. 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.

Advanced Challenge

  • Adapt the Gauge Chart from https://plot.ly/javascript/gauge-charts/ to plot the weekly washing frequency of the individual.

  • 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.

    gauge chart

Hints

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/

Final Page Result

full page

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Creating interactive dashboards with Plotly, D3.js, JSON, HTML, and CSS.

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