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.
Let’s meet? I’ll be in Berlin from Thursday 10th (evening) till Monday morning. I’ve got a somewhat packed diary, but if you are about and want to have a data coffee/drink, let me know – it might be possible to squeeze things in :)
The most clicked link last week was the American Opportunity Index.
‘till next week,
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“If we wanted to tell the story of disability through its data we would immediately find ourselves in a condition of disability, prevented from research, collection, analysis and processing due to structural and contextual barriers. What are the structural and contextual barriers that limit access to disability data?“
A great initiative about data access. It comes with some useful data (although the dashboard is in Italian only for now)
I hope you’re all following the #30DayMapChallenge hashtag on Twitter. Launched by Topi Tjukanov (featured in quantum issue 425), this is now a yearly event that encourages people to share a map a day in November.
Among the best I’ve seen, the map below was made by Lisa Hornung (she also, featured in quantum 452) using matplotlib and Open Street Map.
A brilliant resource from the ONS about the most recent UK Census (2021), now in Alpha.
Although the full article is behind a paywall, this Twitter thread by the Sunday Times’ Tom Calver has all you need to read on the topic.
This is a remarkable chart. From this Washington Post article.
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“This page lists design patterns for dashboard design collected to support the design and creative exploration of dashboard design.“
Hans Hack has published a set of useful geoprocessing tools which include a reprojector, an area size calculator, and – my favourite – “GeoSentences”, a tool that enacts sentences such as “remove Berlin from Germany” in GeoJSON files.
“Browse Federal Campaign Finance Filings”, another great data wrangling helper by ProPublica.
“While a data dictionary, sometimes also called a codebook or variable information log, is often used as a tool to help you and others interpret your data at the end of your project, it is actually even more powerful if created before you ever collect a single piece of data, serving as a roadmap as you design your data collection tools and clean your data, in order to ultimately get to where you want to go.“
Prukalpa Sankar writes about this important bit of data architectures.
“Analysis of 460,501 tweets from U.K. MPs suggests that posting on social media is not very useful for politicos.“
I have to say that I’m not sure I agree 100% with Mr Piccinelli’s conclusions this time (some correlations are suggestive) but… it’s the usual brilliant piece of documented analysis in his bullish style.
“A Treasury Department analysis showed releases from the reserve contributed to a 13 to 31 cent per gallon decrease in the price of gas through July. But prices have risen in recent months.“
A data analysis by USA Facts.
Work in progress by Ben Oldenburg: “an unofficial overview of the post-pandemic recovery of New York City’s transit services with MTA’s Day-by-Day Ridership Numbers.“
It varies, according to this Google Trends -powered article from DataWrapper.
“In this explorable, we present […] an interactive map of BERT’s pretrained embeddings of all articles in English Wikipedia. We explain how to use this map as a tool for understanding and discovering relationships in pretrained embeddings.“
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