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Design a Web Dashboard using HTML, CSS & Bootstrap to visualize the relation between latitude and weather parameters for 500+ cities across the world of varying distance from the equator. https://sheetalbongale.github.io/Web-Visualization-Dashboard/ | UT Data Analysis and Visualization Nov 2019 - May 2020.

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Web Visualization Dashboard (Latitude)

Submitted by : Sheetal Bongale | UT Data Analysis and Visualization | Feb 22, 2020

Click here to check the Web Dashboard.


Objective

Creating a visualization dashboard website using visualizations rendered from the data analysis done using simple Python library](https://pypi.python.org/pypi/citipy) and the OpenWeatherMap API.

Data Analysis Notebook :

Click here to find the script to perform API call, data analysis done using Pandas and visualization using Matplotlib.

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" page that:
    • 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. You may use a csv-to-html table conversion tool, e.g. ConvertCSV.

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 must be deployed to GitHub pages.

https://sheetalbongale.github.io/Web-Visualization-Dashboard/

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Design a Web Dashboard using HTML, CSS & Bootstrap to visualize the relation between latitude and weather parameters for 500+ cities across the world of varying distance from the equator. https://sheetalbongale.github.io/Web-Visualization-Dashboard/ | UT Data Analysis and Visualization Nov 2019 - May 2020.

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