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# Web-Design-Challenge | ||
# Web-Design-Challenge - Web Visualization Dashboard (Latitude) | ||
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## Background | ||
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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. | ||
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### Before You Begin | ||
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1. Create a new repository for this project called `Web-Design-Challenge`. **Do not add this homework to an existing repository**. | ||
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2. Clone the new repository to your computer. | ||
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3. Inside your local git repository, create a directory for the web challenge. Use a folder name to correspond to the challenge: **WebVisualizations**. | ||
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4. Add your **html** files to this folder as well as your **assets**, **Resources** and **visualizations** folders. | ||
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5. Push the above changes to GitHub or GitLab. | ||
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6. Deploy to GitHub pages. | ||
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## Latitude - Latitude Analysis Dashboard with Attitude | ||
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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](Resources/cities.csv). | ||
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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. | ||
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### Website Requirements | ||
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The website must consist of 7 pages total, including: | ||
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* A [landing page](#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](#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](#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](#data-page) that: | ||
* Displays a responsive table containing the data used in the visualizations. | ||
* The table must be a bootstrap table component. [Hint](https://getbootstrap.com/docs/4.3/content/tables/#responsive-tables) | ||
* 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. See the documentation [here](https://pandas.pydata.org/pandas-docs/version/0.17.0/generated/pandas.DataFrame.to_html.html) | ||
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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. | ||
* Contains a dropdown menu on the right of the navbar named "Plots" that provides a link to each individual visualization page. | ||
* Provides two more text 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](#navigation-menu) (notice the background color change). | ||
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Finally, the website must be deployed to GitHub pages. | ||
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When finished, submit to BootcampSpot the links to 1) the deployed app and 2) the GitHub repository. | ||
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Ensure your repository has regular commits (i.e. 20+ commits) and a thorough README.md file | ||
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### Considerations | ||
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* You may use the [weather data](Resources/cities.csv) or choose another dataset. Alternatively, you may use the included [cities dataset](Resources/cities.csv) and pull the images from the [assets folder](Resources/assets). | ||
* You must use Bootstrap. This includes using the Bootstrap `navbar` component for the header on every page, the bootstrap table component for the data page, and the Bootstrap grid for responsiveness on the comparison page. | ||
* You must deploy your website to GitHub pages, with the website working on a live, publicly accessible URL as a result. | ||
* Be sure to use a CSS media query for the navigation menu. | ||
* Be sure your website works at all window widths/sizes. | ||
* Feel free to take some liberty in the visual aspects, but keep the core functionality the same. |
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