Plot.ly Homework - Belly Button Biodiversity

https://aadi2103.github.io/Belly-Button-Biodiversity/

Built 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. Used the D3 library to read in samples.json.

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

• Used sample_values as the values for the bar chart.

• Used otu_ids as the labels for the bar chart.

• Used otu_labels as the hovertext for the chart.

  

3. Created a bubble chart that displays each sample.

• Used otu_ids for the x values.

• Used sample_values for the y values.

• Used sample_values for the marker size.

• Used otu_ids for the marker colors.

• Used otu_labels for the text values.

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

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

6. Updated 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:

Advanced Challenge:

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

• Created a gauge to account for values ranging from 0 through 9.

• Updated the chart whenever a new sample is selected.

Deployment

Deployed the app on a static Github page hosting service.