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Created a dashboard to display graphs based on analysis of Temperature vs Latitude Dataset. The dashboard has individual pages of each plots and a comparison page of all plots together. The table for the dataset page was plotted using pandas library in Python.

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Umarfoo/Temperature_vs_Latitude_Dashboard

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Deployed Website

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Website Development & Design - Web Visualization Dashboard (Latitude)

Latitude - Latitude Analysis Dashboard

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.

Website Requirements

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.

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Created a dashboard to display graphs based on analysis of Temperature vs Latitude Dataset. The dashboard has individual pages of each plots and a comparison page of all plots together. The table for the dataset page was plotted using pandas library in Python.

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