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https://github.com/shivabajelan/belly-button-biodiversity-dashboard

Belly Button Biodiversity Dashboard is an open-source interactive dashboard that visualises the Belly Button Biodiversity dataset. Built with JavaScript, D3.js, Plotly.js, HTML, and CSS, the dashboard features include a dropdown menu, horizontal bar chart, bubble chart, demographic information display.
https://github.com/shivabajelan/belly-button-biodiversity-dashboard

css d3 dashboard data-visualization html javascript plotly visualization

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Belly Button Biodiversity Dashboard is an open-source interactive dashboard that visualises the Belly Button Biodiversity dataset. Built with JavaScript, D3.js, Plotly.js, HTML, and CSS, the dashboard features include a dropdown menu, horizontal bar chart, bubble chart, demographic information display.

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README

        

# Belly-Button-Biodiversity-Dashboard
An interactive web-based dashboard to explore and visualize the Belly Button Biodiversity dataset, which catalogs the microbes found in human navels.

# Background
The Belly Button Biodiversity dataset reveals that a small handful of microbial species (also called operational taxonomic units or OTUs) are present in more than 70% of people, while the rest are relatively rare. This project creates an interactive dashboard to explore this dataset and visualise the top 10 OTUs found in each individual.

# Features
- Dropdown menu to select an individual sample
- Horizontal bar chart displaying the top 10 OTUs for the selected individual
- Bubble chart displaying all samples for the selected individual
- Display of the selected individual's demographic information
- Automatically updates all visualizations when a new sample is selected

![image](https://github.com/Shivabajelan/Belly-Button-Biodiversity-Dashboard/assets/151003203/a95e54b5-9efc-4621-b409-dd78b3252343)

The dataset used in this project is sourced from: https://2u-data-curriculum-team.s3.amazonaws.com/dataviz-classroom/v1.1/14-Interactive-Web-Visualizations/02-Homework/samples.json

# Installation
1. Clone the repository.
2. Open the index.html file in a web browser.

# Usage
Select an individual sample from the dropdown menu to explore its data. The dashboard will automatically update the visualisations with the selected sample's data.

# Deployment
This dashboard is deployed on GitHub Pages.

# Built With
- JavaScript
- D3.js
- Plotly.js
- HTML
- CSS
# License
This project is licensed under the MIT License.