Click here to see the deployed website.
In this project, I 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.
Use the D3 library to read in
samples.json.Create a horizontal bar chart with a dropdown menu to display the top 10 OTUs found in that individual.
Use
sample_valuesas the values for the bar chart.Use
otu_idsas the labels for the bar chart.Use
otu_labelsas the hovertext for the chart.
- Create a bubble chart that displays each sample.
Use
otu_idsfor the x values.Use
sample_valuesfor the y values.Use
sample_valuesfor the marker size.Use
otu_idsfor the marker colors.Use
otu_labelsfor the text values.
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 of the plots any time that a new sample is selected.
Adapt the Gauge Chart 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.