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+# Web Design Homework - Web Visualization Dashboard (Latitude)
+
+## Background
+
+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.
+
+
+
+### Before You Begin
+
+1. Create a new repository for this project called `Web-Design-Challenge`. **Do not add this homework to an existing repository**.
+
+2. Clone the new repository to your computer.
+
+3. 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.
+
+4. Push the above changes to GitHub or GitLab.
+
+5. Deploy to GitHub Pages.
+
+## Latitude - Latitude Analysis Dashboard with Attitude
+
+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).
+
+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.
+
+### Website Requirements
+
+For reference, see the ["Screenshots" section](#screenshots) below.
+
+The website must consist of 7 pages total, including:
+
+* 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)
+
+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 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).
+
+Finally, the website must be deployed to GitHub pages.
+
+When finished, submit to BootcampSpot the links to 1) the deployed app and 2) the GitHub repository.
+
+Ensure your repository has regular commits (i.e. 20+ commits) and a thorough README.md file
+
+### Considerations
+
+* 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.
+
+### Bonuses
+
+* Use a different dataset! The requirements above still hold, but make it your own.
+* Use a Bootstrap theme to customize your website. You may use a tool like [Bootswatch](https://bootswatch.com/). Make it look snazzy, give it some attitude. If using this, be sure you also meet all of the requirements listed above.
+* Add extra visualizations! The more comparisons the better, right?
+* Use meaningful glyphicons next to links in the header.
+* Have visualization navigation on every visualizations page with an active state. See the screenshots below.
+
+### Screenshots
+
+This section contains screenshots of each page that must be built, at varying screen widths. These are a guide; you can meet the requirements without having the pages look exactly like the below images.
+
+#### Landing page
+
+Large screen:
+
+
+
+Small screen:
+
+
+
+
+#### Comparisons page
+
+Large screen:
+
+
+
+Small screen:
+
+
+
+#### Data page
+
+Large screen:
+
+
+
+
+Small screen:
+
+
+
+#### Visualization pages
+
+You'll build four of these, one for each visualization. Here's an example of one:
+
+Large screen:
+
+
+
+Small screen:
+
+
+
+#### Navigation menu
+
+Large screen:
+
+
+Small screen:
+
+
+### Copyright
+
+Trilogy Education Services © 2019. All Rights Reserved.
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+City_ID,City,Cloudiness,Country,Date,Humidity,Lat,Lng,Max Temp,Wind Speed
+0,jacareacanga,0,BR,1528902000,62,-6.22,-57.76,89.6,6.93
+1,kaitangata,100,NZ,1528905304,94,-46.28,169.85,42.61,5.64
+2,goulburn,20,AU,1528905078,91,-34.75,149.72,44.32,10.11
+3,lata,76,IN,1528905305,89,30.78,78.62,59.89,0.94
+4,chokurdakh,0,RU,1528905306,88,70.62,147.9,32.17,2.95
+5,martyush,92,RU,1528905306,94,56.4,61.89,55.03,9.33
+6,hobart,20,AU,1528902000,87,-42.88,147.33,44.6,8.05
+7,broken hill,0,AU,1528905311,88,-31.97,141.45,44.5,7.31
+8,harnosand,0,SE,1528903200,44,62.63,17.94,60.8,13.87
+9,tuatapere,0,NZ,1528905312,100,-46.13,167.69,38.92,3.4
+10,puerto ayora,90,EC,1528902000,69,-0.74,-90.35,77.0,13.87
+11,havre-saint-pierre,75,CA,1528902000,58,50.23,-63.6,53.6,19.46
+12,punta arenas,0,CL,1528902000,100,-53.16,-70.91,35.6,9.17
+13,tasiilaq,75,GL,1528901400,60,65.61,-37.64,39.2,2.24
+14,chapais,40,CA,1528902000,38,49.78,-74.86,59.0,10.29
+15,avarua,40,CK,1528902000,56,-21.21,-159.78,73.4,10.29
+16,hofn,75,IS,1528902000,87,64.25,-15.21,51.8,8.05
+17,yukamenskoye,92,RU,1528905315,98,57.89,52.24,56.65,10.22
+18,khandbari,80,NP,1528905315,67,27.38,87.21,44.59,1.39
+19,bethel,1,US,1528901580,93,60.79,-161.76,44.6,8.05
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+21,east london,0,ZA,1528902000,37,-33.02,27.91,69.8,5.82
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+23,mount isa,75,AU,1528902000,100,-20.73,139.49,64.4,3.29
+24,pevek,0,RU,1528905321,71,69.7,170.27,36.94,6.98
+25,gao,24,ML,1528905321,16,16.28,-0.04,110.02,4.97
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+37,cap malheureux,75,MU,1528902000,69,-19.98,57.61,75.2,14.99
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