Have created Interactive Dasboard to explore the Belly Button Biodiversity datasetLinks to an external site.
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.
Following Screenshots are attached from my Work
- Used the D3 library to read in "samples.json" from the URL "https://static.bc-edx.com/data/dl-1-2/m14/lms/starter/samples.json."
- 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.
- 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.
- Displayed the sample's metadata, i.e., an individual's demographic information.
- Loopped through each key-value pair from the metadata JSON object and create a text string.
- Appended an html tag with that text to the "#sample-metadata" panel.
- Updated all the plots when a new sample is selected.
- Deployed app to a free static page hosting service, such as GitHub Pages.