Data is more powerful when we share it with others! Let's take what we've learned about HTML and CSS to create a dashboard showing off the analysis we've done.
For this homework we'll be creating a visualization dashboard website using visualizations we've created in a past assignment. Specifically, we'll be plotting weather data
In building this dashboard, we'll create individual pages for each plot and a means by which we can navigate between them. These pages will contain the visualizations and their corresponding explanations. We'll also have a landing page, a page where we can see a comparison of all of the plots, and another page where we 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" 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
.csvfile as HTML, or converting it to HTML. Try using a tool you already know, pandas. Pandas has a nifty method approprately calledto_htmlthat allows you to generate a HTML table from a pandas dataframe. See the documentation here
- Displays a responsive table containing the data used in the visualizations.
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 (notice the background color change).
Finally, the website must be deployed to GitHub pages.
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