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JavaScript - D3 Biodiversity Analysis

  • Objective

    Develop an interactive dashboard to explore the Belly Button Biodiversity dataset, demonstrating skills in JavaScript, HTML, and the D3 library.

    Methods

     Utilized D3.js to read in sample data from a provided JSON file.  Created dynamic visualizations including bar and bubble charts using Plotly.js.  Implemented a dropdown menu for selecting individual samples, updating charts accordingly.  Displayed metadata information related to each selected sample in a dedicated panel.

    Findings

     Successfully visualized microbial species data, highlighting the most prevalent OTUs in individuals.  Provided interactive elements for users to explore specific data points and demographic information.

    Impact

     Enabled a deeper understanding of microbial biodiversity in human navels.  Offered an engaging tool for educational purposes, allowing users to interact with and learn from real scientific data.

    Challenges

     Ensuring smooth interaction and updating of charts when new samples are selected.  Accurately representing complex data in a user-friendly format.

    Tools Used

     Terminal  Jupyter lab  Anaconda  HTML  css  JavaScript  D3 Library