The data newsletter by @puntofisso.
There’s an interesting event series about Coding in the Open happening this week. I know it’s a bit late, but there are still 3/4 days to go, so please take a look:
“Want to learn about automation, improving processes and how to incorporate open tools like Python and R? Want to learn about what open might mean for you, whether you’re looking for tools, processes, principles or just general interest?“
Each seminar runs for an hour between 1-2pm (BST) until June 18th, and it features an awesome set of people talking about different aspects of working openly and what the benefits are. All details can be found at http://codingedi.github.io.
Interesting episode of The Tip Off podcast on biased reporting and how data helped unearth the issue: “Sarah Turnnidge started her journalism career at local papers so it was there she first encountered press releases from police forces. But over time Sarah started to wonder - did they tell the whole story. In this episode Sarah talks through her meticulous data project which revealed a worrying disproportionality when it came to information put out about black criminals.” This story was first reported by the Huffington Post.
Any data engineers out there? The OCHA Centre for Humanitarian Data, part of the UN, is looking for one.
‘till next week,
“From lumber to paint to concrete, the cost of almost every single item that goes into building a house in the U.S. is soaring.“
An interesting (and visual) look by Reuters Graphics at the Biden Presidency’s spending plan and funding sources.
According to Shadab Nazmi, BBC India’s statistician, more men are getting vaccinated in India than women. I can’t find more details about this and therefore is pending fact-checking, but I thought it would be an interesting direction of enquiry for this newsletter’s readers.
“Visualizing the relationship between COVID-19 vaccine adoption and online (mis)information”
You will surely remember Geoff Boeing’s original paper that generated so many imitators, including my own London Borough’s Street Network visualization.
This tweet took a different approach, showing the street network in order of entropy levels (i.e. sorted by overall “order”).
(via Guy Lipman)
“Property assessments for the fiscal year starting July 1 detail the widespread hit to property in Manhattan“
This week, The Economist’s Off The Charts newsletter touches upon an interesting set of dataviz topics, including their Sybil tool to automatically generate charts in their style and how they’ve started using QGIS to make maps.
A short list of “R resources that you may find helpful if you are seeking to increase your R skills with an eye toward public health applications“
New heatmaps by Owen Boswarva.
Interestingly, it’s also an opportunity to reflect on data quality: “About 22% of the FSA records were missing location coordinates. However for purposes of the heatmaps I reduced that to about 2% by adding postcode coordinates from the ONS Postcode Directory.“
Twitter thread by Robert Rohde, a scientist at Berkeley Earth, an NGO.
Datawrapper does its usual great job of showing how to visualize data and that amazing datasets can be found for almost any topic (especially in Germany).
“In the midst of the pandemic, conversations about mental health have emerged in the media. But Google Trends data shows that we were always dealing with these issues—it’s just that no one was talking to each other about it.“
“‘Roads to Rome‘ is a data visualization project that explores the idiom, ‘all roads lead to Rome’.“
(via Open Cage Data)
Another take on historic subway-like maps.
(via Riccardo Di Sipio)
This week we have two very interesting articles by Atlan’s Prukalpa Sankar.
“Introducing a new way of storing metadata for today’s limitless use cases like data discovery, lineage, observability and fabrics” Long(ish) read with a fundamental truth: “Metadata is itself becoming big data.”
“A tried-and-tested approach to democratizing tribal knowledge in TechStyle’s 50-member analytics team with Snowflake, Atlan, and Tableau”
I love reading how the industry approaches different problems in the data space.
quantum of sollazzo is also supported by ProofRed’s excellent proofreading service. If you need high-quality copy editing or proofreading, head to http://proofred.co.uk. Oh, they also make really good explainer videos.