Click here to see the deployed website.

I this project, I had to build a dashboard with individual pages for each plot and a means by which people can navigate between them. These pages contained the visualizations and their corresponding sample explanations. I also made a landing page, a page where people can see a comparison of all of these plots, and another page where people can view the data used to build them.

The website must consist of 7 pages total, including:

• A landing page containing:
  • An explanation of the project.
  • Links to each visualizations page.
• Four visualization pages, each with:
  • A descriptive title and heading tag.
  • The plot/visualization itself for the selected comparison.
  • A paragraph describing the plot and its significance.
• A "Comparisons" page that:
  • Contains all of the visualizations on the same page so we can easily visually compare them.
  • Uses a bootstrap grid for the visualizations.
    • The grid must be two visualizations across on screens medium and larger, and 1 across on extra-small and small screens.
• A "Data" pagethat:
  • Displays a responsive table containing the data used in the visualizations.
    • The table must be a bootstrap table component.
    • The data must come from exporting the .csv file as HTML, or converting it to HTML. Try using a tool you already know, pandas. Pandas has a nifty method approprately called to_html that allows you to generate a HTML table from a pandas dataframe.

The website must, at the top of every page, have a navigation menu that:

• Has the name of the site on the left of the nav which allows users to return to the landing page from any page.
• Contains a dropdown on the right of the navbar named "Plots" which provides links to each individual visualization page.
• Provides two more links on the right: "Comparisons" which links to the comparisons page, and "Data" which links to the data page.
• Is responsive (using media queries). The nav must have similar behavior as the screenshots "Navigation Menu" section.

Finally, the website was deployed to GitHub pages.