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 Reuters’ visualization of the state of gas storage in EU countries. Unsurprisingly, it’s caught everyone’s attention.
‘till next week,
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“Measures of employee earnings, using data from the Annual Survey for Hours and Earnings (ASHE)” from the ONS, with the fantastic interactive captured below included.
USAFacts is becoming an incredible source of data analysis, captured in impressive storytelling and charts. https://usafacts.org/articles/what-is-a-recession-what-have-recessions-looked-like-in-the-past/ (but you can use graphic from their newsletter https://mail.google.com/mail/u/0/#inbox/FMfcgzGqPzDqsQhfNwMPrxrvVDkKZmhW)
Yes, exactly. A collection of dozens of Wordle-like games. It includes yours truly’s Wardle!
(via Massimo Conte)
A look at immigration detention in Hong Kong, by Kontinentalist.
“Explore the Data” with this interactive article by Bloomberg.
“Some water levels on the Rhine river have gone below 0. What does that mean?”. Datawrapper’s Simon Jockers takes a look. Sadly, it’s not just the Rhine.
An on-demand webinar by Alteryx.
Check out Malthus
Malthus helps you connect with new prospects and leads for your business or agency needs to help drive sales and growth. View thousands of handpicked companies that just raised millions and are likely to outsource and engage in B2B sales..
Data scientist Aidan Cooper published a response to the recent paper “Why Do Tree-based Models Still Outperform Deep Learning on Tabular Data?”, which generated quite a bit of debate. One interesting observation he makes is that “data isn’t inherently tabular”.
Part of an Observable-SQLite series.
Part 4 in a series about Principal Component Analysis. Long and mathematically intensive, but really well explained.
Another MLU-Explain tutorial, this time about regression for classification.
“CLI tool and python library that converts the output of popular command-line tools, file-types, and common strings to JSON, YAML, or Dictionaries. This allows piping of output to tools like jq and simplifying automation scripts.“
“This blog will guide you on creating a network of passes, and drawing insights from a football game, in a simple and comprehensive way.“
Prukalpa Sankar writes about the Wright flight in her Metadata Weekly column: “After more than 50 tests in a wind tunnel, they realized there had been a major data quality blunder — every scientist had been using the wrong figure for air pressure. Without this realization, we would probably still be traveling by train today!“
Dan Barrett’s team has released their data playbook. It’s a work-in-progress Google Doc.
“I ride TTC and, believe me, I know its limitations. But as these maps show, the level of service in suburban Toronto is fundamentally different from similar US places.“
This thread responds to a viral Vox video about US transit systems.
(via The Prepared)
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