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.
Every week I include a six-question interview with an inspiring data person. This week, I speak with Ashley Kirk of The Guardian, who you, reader of “Quantum of Sollazzo”, will surely know as I’ve featured his amazing data analysis and visualization work over and over again.
Meanwhile, past interviewee Topi Tjukanov, master of geographic visualization, has launched his traditional yearly “30 Day Maps Challenge”, which is all about pushing yourself to create a map a day during the month of November. All details here and on GitHub.
‘till next week,
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“In the past two years, the lives of Canadians have been turned upside down by a historic pandemic. But the House of Commons will remain almost the same.“
A brilliant example of electoral data analysis presented via scrollytelling, by Naël Shiab for Radio Canada. It’s a bilingual English-French article.
(via Darren McCormac)
“A Longitudinal Analysis of the Millennium Cohort Study”. It’s an academic paper pre-print, but worth a read. Authored by, among others, open data hero John Murray.
Interestingly, one of the findings says that “The confounding role of neighbourhood deprivation persists even after controlling for diet and physical activity”.
“Six Questions” graduate Lisa Charlotte Muth of Datawrapper shows how they presented German electoral data with a changing scale over time, bringing together multiple years electoral results, monthly opinion polls, daily opinion polls, and, on election night, hourly estimates.
Stark differences across the country revealed in this excellent data analysis by the Washington Post.
“The UNEP Pollution Dashboard displays the global state of air pollution, major sources, the impact on human health and national efforts to tackle this critical issue.“
“Bloomberg is tracking the economic recovery in minority communities across the country”. The visuals have a great, Tron-like, electric colour scheme. The subject is pretty grim, though.
Oli Hawkins, a data scientist at the Nursing and Midwifery College and previously at the House of Commons Library, has released this brilliant little R package that “for tabulating and summarising categorical variables” which, he says, “It’s designed to work nicely with the tidyverse.”.
I found this link on the excellent newsletter “The Prepared”, which is about manufacturing in the modern world. They linked to this website, which is “a toolkit intended for researchers, journalists, students, and scholars interested in visualizing, analyzing, and documenting supply chains and trade networks.“
Visualized below is the supply chain of Amazon Fullfilment Centres.
A tutorial on creating art using pure CSS. One for you data coders to use for data visualizations?
Naresh Sughani, a Tableau Analyst, has published this incredible map of Paris which shows the age of buildings. It’s based on Tableau and QGIS and covers a 20 square mile area. It uses Open Data from the Atelier Parisien d’Urbanism, a public agency.
(via Massimo Conte)
Ahmad Barclay, a “Quantum of Sollazzo” interviewee, has been “playing around today with rendering 1940s maps of Palestine in 3-dimensions […]. This first attempt is based on a 1942 map of Haifa from PalOpenMaps.“
In this Twitter thread he shares a few initial notes about his method, which links to a QGIS-based tutorial.
I’m slightly obsessed by the analysis of literary material and this dataviz is contributing to my obsession.
“I wondered what did my favorite books look like without words. Can you tell them apart or are they all a-mush?“
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