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Create a new repository for this project called
Web-Design-Challenge
. Do not add this homework to an existing repository. -
Clone the new repository to your computer.
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Inside your local git repository, add your html files, as well as your assets, Resources and visualizations folders. Your
index.html
should be the landing page that the user first sees. -
Push the above changes to GitHub or GitLab.
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Deploy to GitHub Pages.
For this task I be created a visualization dashboard website using visualizations we've created in a past assignment. Specifically, I plotted weather data.
In building this dashboard, I created 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. I 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.
For reference, see the "Screenshots" section below.
The website consist of 7 pages total, including:
- A landing page containing:
- An explanation of the project.
- Links to each visualizations page. There should be a sidebar containing preview images of each plot, and clicking an image should take the user to that visualization.
- 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. Hint
- 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 calledto_html
that 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.