I created a visualization dashboard website using visualizations I created in https://github.com/settinge/Python-API-s-Challenge. Specifically, I plotted weather data.

In building this dashboard, I create individual pages for each plot and a means by which they can be navigated. These pages contain the visualizations and their corresponding trends, if any. Also included is a landing page, a page where we can see a comparison of all of the plots, and another page that contains the data used to build them.(https://settinge.github.io/table.html)

1. Navigate to https://settinge.github.io/Landing.html and click on various tabs in the navigation bar

The website consisted of 7 pages total, including:

• A landing page containing:

  • An explanation of the project.

  • Links to each visualizations page.

  • Four visualization pages (https://settinge.github.io/Homework-Visualization-2.html), (https://settinge.github.io/Homework-Visualization-3.html), (https://settinge.github.io/Homework-Visualization-4.html)

                        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.
• A "Data" page that:
  • Displays a responsive table containing the data used in the visualizations.
    • The table must be a bootstrap table component.

The website, at the top of every page, has 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).

Finally, the website was deployed to GitHub pages https://settinge.github.io/index.html.

Above is a screenshot of the home page. This page contains high level information about the project

Above is a screenshot of a scatterplot that demonstrates the relationship between Humidity and Latitude. A scatterplot was used to see if there was any high level correlation between the two variables.

This is a screenshot of the "Data" tab that is parsed JSON containing various weather metrics for each city that was returned by the API.