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.
I write most of this from a relatively warm and dry Berlin. It's good to be back – I was last here before the pandemic. Forgive the slightly shorter-than-usual issue :)
The best bit of last week was The Times using my website Parli-N-Grams for one of their electoral analyses. If you are a long-standing subscriber of Quantum, you'll have heard about Parli-N-Grams before. It's a website that acquired an unlikely life of its own after I built it in just a few hours for a hackathon in 2014, then touched it very little, and it still keeps running and updating daily, using the amazing data coming from mySociety's TheyWorkForYou. This appearance in the Times is the second time it's been featured in the media , after it was used by Allegra Stratton on ITV Peston on Sunday, a feat that got yours truly named as Peston's Geek of the Week. Which reminds me, I should really refresh that tacky UI...
The most clicked link last week was the interesting Disabled Data website.
'till next week,
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Good visualization by Jan Willem Tulp on how different countries are coping with COVID-19 and how those figures add up to the total.
(via Massimo Conte)
POLITICO's election tracker.
"Nearly two-thirds of donations to US Senate candidates in this election cycle have come from out-of-state contributors instead of from possible constituents, reflecting an intense political tribalism in which control of Congress is prioritized over local issues."
"A curated selection of visually interesting datasets collected by local, state and federal government agencies. By Jon Keegan."
I love curation for this sort of thing.
(via Lucilla Piccari)
"Seven states were won by less than 3 percentage points in the 2020 presidential election."
I've seen this from the Financial Times before, in poster form. Now it is also available as an interactive.
"For something in between a pytorch and a karpathy/micrograd. This may not be the best deep learning framework, but it is a deep learning framework."
Basically, an extremely simple ML framework, below 1000 lines of code in total, but with good capabilities.
"Raster4ML is a python package that extracts machine learning ready dataset from geospatial raster data and shapefiles. The package aims to aid geospatial researchers and scientists to extract meaningful features easily and focus more on the model training or reproducibility issues."
An online book for those of you who might want to work in genomics or genetic analysis, starting with biological foundations, and learning concepts such as genomic variation, sequencing, and more.
A YouTube course by Connor Rothschild.
A tutorial by Daniel C. Moura using SPyQL, a Python library.
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Inga from Datawrapper explains her, erm, train of thought in the development of a rail transit frequency map of Berlin.
"In the case of break-and-enter stories, “everybody recognized that a poor execution of the idea would be a problem.”"
Thoughts on automated stories by Hanaa' Tameez at Nieman Lab.
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