Web page Weather/Latitude Analysis:
https://krla20.github.io/Web-Design-Challenge/
- I used the cities.csv from my previous project and pictures from the Python-API-Challenge not the data or pictures provided, also, I changed the colors of my webpage from lightseagreen to purple .
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The website must consist of 7 pages total, including:
- A landing page index containing:
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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.
One sample visualization
All visualization pictures can be found in Latitude, Temperature, Humidity and Wind Speed
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A "Comparisons" page that:
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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 called to_html that allows you to generate a HTML table from a pandas dataframe.
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The website must, at the top of every page, have a navigation menu that:
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Has the name of the site on the left of the nav which allows users to return to the landing page from any page.
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Contains a dropdown menu on the right of the navbar named "Plots" that provides a link to each individual visualization page.
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Provides two more text links on the right: "Comparisons," which links to the comparisons page, and "Data," which links to the data page.
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Is responsive (using media queries). The nav must have similar behavior as the screenshots "Navigation Menu" section (notice the background color change).
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