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add new data viz and web design resources
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content/pages/03-data/18-data-visualization.markdown

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explains how to use the Dash library to take a bunch of data and
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turn it into a nice-looking dashboard.
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* [The reason I am using Altair for most of my visualization in Python](http://fernandoi.cl/blog/posts/altair/)
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explains why this wrapper for [Vega-lite](https://vega.github.io/vega-lite/)
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is awesome and that the author uses Altair because
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[Matplotlib](/matplotlib.html) can be very complicated for whipping up
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quick visualizations.
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### Beautiful example visualizations
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Sometimes you need inspiration from other sources to figure out what

content/pages/04-web-development/15-web-design.markdown

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to ensure it works for connections much worse than the fiber connection
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you may have at the home or office.
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* [Fundamental design principles for non-designers](https://medium.freecodecamp.org/fundamental-design-principles-for-non-designers-ad34c30caa7)
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summarizes numerous design tips into four principles that those without
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prior design knowledge can follow. The author gives a bunch of great
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examples and further details for the four principles, which are contrast,
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consistency, Occam's Razor and space.
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* [The Average Web Page (Data from Analyzing 8 Million Websites)](https://css-tricks.com/average-web-page-data-analyzing-8-million-websites/)
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shows the most frequently used HTML elements, metadata, text
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content and other statistics from a large scale analysis of the web.

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