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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 Valentina d’Efilippo the data designer behind so many award-winning data visualizations.
Finally, a shout out to YouGotThis! for evolving into a learning hub. YouGotThis! is a series of events about work/life balance for techies, and they’re just released a lot of material as a curated collection of talks about the core skills needed for a happy and healthy work life.
‘till next week,
Giuseppe @puntofisso
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Old but topical, this Twitter thread by US Guardian Data Editor Mona Chalabi sheds some light on the correlation between abortion legality and safety.
The Economist’s G. Elliott Morris takes a look at the data behind Elon Musk’s claim that he finds himself driven to the right by a polarised left.
Francesco Piccinelli has published this “data-driven analysis into one of the most uncomfortable avenues of political rhetoric”. It uses NLP to assess the emotion of famous declarations of war.
“They are flocking to warm suburbs.” In this intriguing article on The Economist, we learn that “Other suburban and exurban counties have also seen big rises, especially ones with good weather. These areas often contain affordable housing and industries friendly to remote work.“
He tweets a lot and in interesting ways. This article also comes with an emoji chart…
How to get “GDPR and the handling of personal data while exercising your journalistic duties in one place” PDF. By PANELFIT.
(via EDJNet)
“Easy-to-make VR stories”, by the Knight Lab.
trdsql is a “CLI tool that can execute SQL queries on CSV, LTSV, JSON and TBLN. Can output to various formats.“
Similar to the above, but using API on Google Sheets.
“Many blogs include a blogroll on their page with links to other blogs. I thought it might be interesting to try to map the network that emerges from blogs linking to one another.“
From data collection in Python to force-directed chart in D3.
“Steganography is the practice of concealing a message within another message or a physical object. In this blog post we want to hide a photo inside another photo. So when you share the photo, it looks like a single ordinary photo, but it’s actually two photos. One of them is hidden inside of the other, and it can only be revealed using an external tool.“
Nice and easy tutorial.
“PesaYetu helps journalists, researchers and activists transform their work with in-depth county-specific information. Get started now with datasets from Kenya.”
Uh oh.
“But…there is something we saw in the data that made us question the results. Can you help us reproduce the study and figure things out?“
Unusual project from The Pudding. Really really interesting.
“A useful way to think more holistically about how data visualization works”, by Enrico Bertini.
A data journalist opens up on how he classifies his own data stories into ‘genres’, ranging from “question story” to “how it happened”.
“This dashboard shows the total flows of public finance going to fossil fuel, clean, and other energy projects from G20 countries’ trade and development finance institutions as well as the major multilateral development banks.“
(via Andy Redwood)
“A heatmap of where people have cried on UWaterloo campus.“
“We narrate the global climate crisis, analysing its roots, and taking a snapshot of what Earth’s landscapes are now and what they could look like in the future if no further action is taken.“
The actual “MRI” can be found here.
“LinkedIn’s data tells us how jobs are changing, and what skills workers may need to stay competitive in the new world of work.“
It’s also pretty interactive.
“This research demonstrates a model-free approach to optimize the energy produced by a dual-axis solar panel using reinforcement learning. Specifically, a softmax actor-critic agent optimizes energy production in a simulated, dynamic lighting environment which is generated from real power data. All schematics, algorithms, and code are provided as open-source materials.“
Open source rocks.
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