Monitoreo NICAP con Python: Extrayendo, Analizando y Visualizando Datos de SOFIPOs
- Updated
Apr 9, 2025 - JavaScript
Monitoreo NICAP con Python: Extrayendo, Analizando y Visualizando Datos de SOFIPOs
Plotly graphs of JSON data
Visualize the bacterial data for each volunteer. Specifically, the volunteers should be able to identify the top 10 bacterial species in their belly buttons. That way, if Improbable Beef identifies a species as a candidate to manufacture synthetic beef, volunteers will be able to identify whether that species is found in their navel.
Belly button biodiversity dashboard with D3.js and plotly.
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