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Data visualization

Data visualization is the graphic representation of data and trends.
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PostgreSQL rob.conery.io

PostgreSQL tools for the visually inclined

jumping from SQL Server to PostgreSQL is much more than changing a tool. PostgreSQL was built on Unix, with Unix in mind as the platform of choice, and typically runs best when it’s sitting on some type of Unix box. The Unix world has a pretty specific idiom for how to go about things and it certainly isn’t visual! Rob Conery with a deep dive into psql and what makes it awesome.

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Data visualization tweag.io

Mapping a universe of open source software

The repositories of distributions such as Debian and Nixpkgs are among the largest collections of open source (and some unfree) software. They are complex systems that connect and organize many interdependent packages. Is it possible to capture the large scale features of such a repository in an image? Are there common design choices of the contributors? Did they lead to any emergent structure? This work resulted in some beautiful (and interesting) visualizations. Here’s a sneak peak 👇

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Alyson Swerdloff github.com

Visualize your React app's component performance with a live heat map

React Quantum parses through your React application to create a color-coded tree model of its component hierarchy. On hover, each tree node will display two key component performance metrics—render time and re-render frequency—as well as memoized state and props to indicate what, specifically, initiated the render.

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Data visualization learnui.design

A color palette generator for the design 'impaired'

This “Data Color Picker” looks like a spectacular tool for any developer out there (like myself) who appreciates the value of a good color palette, but lacks the ability to put one together. You’re not alone! (This tool is for generating equidistant palettes for data visualizations, but it can most certainly be used generically.) Creating visually equidistant palettes is basically impossible to do by hand, yet hugely important for data visualizations. Why? When colors are not visually equidistant, it’s harder to (a) tell them apart in the chart, and (b) compare the chart to the key. I’m sure we’ve all looked at charts where you can hardly use the key since the data colors are so similar. You pick the “endpoint” colors and it generates all of the colors in-between. Very cool.

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Data visualization discuss.httparchive.org

The HTTP Archive got a huge upgrade 💪

This was announced in late March, but I missed it back then so maybe you did too. Our goal was to more easily enable anyone to explore the health of the web as a whole. Not just data-mining SQL gurus or statisticians, but everyone with a vested interest in the state of the web. An excellent goal, indeed. How did they do? Well, they added a bunch of awesome reports and consolidated traffic data between mobile and desktop devices. If you hadn’t bookmarked this site previously, now is the time.

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