The data newsletter by @puntofisso.
Hello, regular readers and welcome new ones :) This is Quantum of Sollazzo, the newsletter about all things data. I am Giuseppe Sollazzo, or @puntofisso. I’ve been sending this newsletter since 2012 to be a summary of all the articles with or about data that captured my attention over the previous week. The newsletter is and will always (well, for as long as I can keep going!) be free, but you’re welcome to become a friend via the links below.
The most clicked link last week was the Coastal Risk Screening Tool. Terrifying, isn’t it?
‘till next week,
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“Many countries had partisan divides on Covid vaccination, but they were more lethal in the US than anywhere else”. Aptly analysed and illustrated by John Burn-Murdoch for the Financial Times.
“Her stint was marked by financial instability, plummeting public approval and a high rate of ministerial departures”, illustrated by The Guardian’s Ashley Kirk and team.
“An investigation by The Markup found that AT&T, Verizon, EarthLink, and CenturyLink disproportionately offered lower-income and least-White neighborhoods slow internet service for the same price as speedy connections they offered in other parts of town“
(via Jeremy Singer-Vine, who also worked as a data coach for this article)
“A corporate scorecard of worker advancement.“
Usual interesting stuff from the Pew Research Centre. The partisan gap chart below really is something interesting.
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I think I’ve linked to this whole “Coding for Economists” manual before, but this specific page about how to visualize common plots in a variety of libraries is really good. Hats off to the ONS’ Arthur Turrell.
“In this chapter, we’ll look at some of the most common plots that you might want to make–and how to create them using the most popular data visualisations libraries, including matplotlib, plotnine, seaborn, altair, and plotly.“
“This post summarizes the paper “An Automated Approach to Reasoning About Task-Oriented Insights in Responsive Visualization”“
To begin with, I didn’t know you could make an Image Slider this easily – pretty elegant, widely supported, and easy to debug.
From The Lancet, this article.
“A practical guide for analysts”, by Health Foundation data analyst Sebastien Peytrignet.
Using data from Electricity Maps, Grant Chalmers has crafted this animated visualization of carbon intensity over the (then) past 20 days.
(via Dan Klein)
“Simulate a tunnel through Earth, starting from where you are“
Datawrapper’s Pascal Bürkle looks at his focus and motivation.
One from my day job’s team. Linking to it because it’s easy to reuse for other use cases involving the allocation of resources to finite slots with constraints. It uses a genetic algorithm. I’m expecting young zealots to shout “but that’s not A.I.” at me in 3… 2… 1… :P
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