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plot.ly-challenge

The visualizations showing the bacteria colonizing human navels based on this dataset. Please see full page deployed on GitHub Pages here.

Visualizations were made using JavaScript (Plot.ly library) by utilizing data from .json file.

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.

Please see the link to my code here.

Methods and languages used:

  1. JavaScript
  2. Plot.ly library
  3. HTML for writing the code for the webpage

Please see the screenshots below.

Website Screenshots:

  1. Most common microbial species found in human navels as well as metadata based on a chosen ID using a dropdown:

otu-types

  1. Gauge showing navel washing frequency based on a chosen ID using a dropdown:

gauge

  1. Bubble chart showing different microbial species based on frequency of their occurences on human navels.

bubble_chart

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