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.
This event at UCL might be of interest. “A Year in Data” will hear from Ben Walker, co-Founder of Britain Elects and Senior Data Journalist for the New Statesman, Olivia Vane, interactive data journalist at The Economist, Sam Joiner, Alexandra Heal, and Dan Clark, visual storytellers at the Financial Times, and James Cheshire, director of UCL Social Data Institute and cartographer extraordinaire.
The most clicked link last week was this brilliant animated visualization of the relationship between house prices and real wages.
‘till next week,
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Interesting look at the US Midterm Election by Bloomberg.
“Play our AI match predictor”, by Al Jazeera on Qatar 2022, with some great interactives and breath-taking data visualizations.
“In the 12 years since the tiny gas-rich country was awarded rights to the event, it has spent $300 billion preparing for kickoff. “ https://www.bloomberg.com/graphics/2022-what-qatar-built-for-the-world-cup/
Climate Policy Radar have built an AI-powered search engine of climate related laws and policies. “We use natural language processing to build our intuitive search function, which automatically detects related words. This means you can easily find information relating to policy concepts - like electric vehicles or green technologies - even if they’re described in slightly different ways across the literature. You can find out more about how our natural language search works on our blog.“
“The only cheat sheet you need” – basically, a command line tool that accesses hundreds of cheat sheets. Well, way more than that: it’s got an NLP engine that allows you to ask for questions. Cue “cheat” during interviews…
When you need inspiration for your next tree visualization.
Ethank Mollick reports about this paper, which “makes the argument that we should move to diamond plots instead, altering the graph & breaking the bias”. The bias being: the fact that scatterplots seem to suggest causality.
Some R code also available.
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“I grabbed all the data from my Last.fm profile from the past year and decided to build a calendar heatmap visualizing every song that I listened to in 2022.“
Last.fm is so mid-2000s ;-)
An interesting data analysis using 233,596 records in the London Cycling Infrastructure Database (CID), allegedly (according to data.london.gov.uk) “the world’s largest and most comprehensive database of cycling infrastructure”.
Carlos Bergillos has created this amazing interactive visualization using ADS-B Exchange data.
“Three Decades of Western and Central European Retail Prices of Cocaine”, visualised on Tableau.
“DALL-E and other models keep making art that ignores traditions from the rest of the world.“
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