Belly Button Bacteria Biodiversity Dashboard

Use the interactive charts to explore the dataset. Select a sample to see its detailed data in the graphs. Notice the bacteria details when the mouse hovers over any of the points in the graphs.

This project used JavaScript, Plotly.JS, Python, HTML, CSS, Bootstrap, and Flask to explore the Belly Button Bacteria Biodiversity dataset. I read the data from CSV files using Pandas. I then built three graphs using Plotly and Javascript. The pie chart shows the top ten samples for a particular sample id. The bubble chart shows all the samples and OTU ID data points. Metadata for the sample is also displayed, along with a gauge chart for washing frequency. The graphs resize when the page size is modified.

Select Sample

Sample MetaData


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