Here is a link to the dashboard: https://imaadullah.github.io/bbc/
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.
Complete the following steps:
-
Use the D3 library to read in
samples.json
from the URLhttps://2u-data-curriculum-team.s3.amazonaws.com/dataviz-classroom/v1.1/14-Interactive-Web-Visualizations/02-Homework/samples.json
. -
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.
- Use
-
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.
- Use
-
Display the sample metadata, i.e., an individual's demographic information.
-
Display each key-value pair from the metadata JSON object somewhere on the page.
-
Update all the plots when a new sample is selected. Additionally, you are welcome to create any layout that you would like for your dashboard.
-
Deploy your app to a free static page hosting service, such as GitHub Pages.
- 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.
- Located in the parent directory are two folders and the index.html file.
- The Resources folder contains the samples.json file as a reference.
- The static folder contains the two javascript files app.js and bonus.js that were used to build the dashboard.
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/.