Dashboard visualization

Summary

This is an exercise to demonstrate our skill in creating interactive data visualization dashboard using Plotly in JavaScript. The D3 library is also utilized to create the dashboard as a web application. The app is deployed at the following link-

https://arefinster.github.io/belly-button-challenge/

The interactive dashboard app explores the human Belly Button Biodiversity dataset that catalogs the microbes that colonize human navels.The datasets acquired in a study reveals that a small handful of microbial species called operational taxonomic units (OTUs) were present in more than 70% of the population while other known microbes were relatively rare.

1. D3 library was imported and used to read the data from the URL. The following data were retrieved.

2. An interactive horizontal bar chart was created showing the top 10 OTUs. The chart updates and reflects the dataset of the 'id' selected from the dropdown menu.

With hovering activated:

3. An interactive bubble chart was created. The graph with hovering activated is shown for a selected 'sample id' from the dropdown menu.

4. A sample's metadata is retrieved from the console log.

5. Display the Demographic info of a 'selected id' on the page.

6. The consolidated dashboard

NOTE: I have worked on the interactive dashboard implementation by myself. I consulted with a learning assistant a couple of times. The results are saved in a sub-folder called 'Results'.