Belly Button Biodiversity - Interactive Visualizations and Dashboards

Table of Contents

• Background
• Step 1: Plotly Bar, Panel and Scattplot Graphs
• Step 2: Plotly Gauge Chart
• Results

Background

In this assignment, I will use plotly graphs to build an interactive dashboard using the Belly Button Biodiversity dataset.

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 Bar, Panel and Scattplot Graphs

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.

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.

Additionally, you are welcome to create any layout that you would like for your dashboard.

Step 2: Plotly Gauge Chart

The following task is advanced and therefore optional.

• 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.

Results

My dashboard is located at derrikdennis.github.io/Belly_Button_Biodiversity