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Interactive data web-visualization with the dropdown menu on the webpage using JavaScript, Plotly, and D3.js.

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The Webpage customized for the dashboard using HTML, CSS, Bootstrap, JavaScript, Plotly, and D3.js.

-Contents-

Overview of the Plotly_chart Analysis

The purpose of the analysis is to visualize the bacterial data for each individual’s ID that is selected from the dropdown menu on the webpage https://itekkie.github.io/plotly_chart/.

This assignment consists of four following technical analyses:

  1. Create a Horizontal Bar Chart to display the top 10 bacterial species (OTUs);
  2. Create a Bubble Chart that displays the Bacteria Cultures per Sample when an individual’s ID is selected from the dropdown menu webpage;
  3. Create a Gauge Chart that displays the weekly washing frequency's value, and display the value as a measure from 0-10 on the progress bar in the gauge chart when an individual ID is selected from the dropdown menu;
  4. Use your knowledge of HTML and Bootstrap to customize the webpage for your dashboard.

Resources

The analysis was created by using next software: HTML 5, CSS 4, Bootstrap 3.3.7, JavaScript, JS Libraries: Plotly, D3.

Plotly_chart Analysis Summary

Next charts are created:

  • The Horizontal Bar Chart to display the top 10 bacterial species;
  • The a Bubble Chart that displays the Bacteria Cultures per Sample when an individual’s ID is selected from the dropdown menu webpage;
  • The Gauge Chart that displays the weekly washing frequency's value when an individual ID is selected from the dropdown menu.

image

Additionally, the customized webpage for the dashboard are the followings:

  1. An image to the jumbotron is added;
  2. A background color is added;
  3. Customized font with contrast for the colors of jumbotron and footer are changed;
  4. The additional info is added to the Bubble chart;
  5. The webpage is mobile-responsive by using Bootstrap grid system.

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Interactive data web-visualization with the dropdown menu on the webpage using JavaScript, Plotly, and D3.js.

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