Jacki Farrow

Even if you’re comfortable with the nuts and bolts of data tools, this article, by Michal Szudejko will stretch your view of what your work could do – giving practical…

In Rosh Khan’s solution post, you’ll see the reasoning behind custom splits (e.g., breaking “Name” into “Game Title” and “Developer”), the importance of cleaning punctuation and spaces, the conversion of

Kyle Massey’s post marries practical code‑focused detail with architecture and governance insight. You’ll see real examples of metadata queries, field selection, aggregations, custom calculations, filters and even tips on mapping

Even if you’re not a demographer, Donna Coles offers insights that apply to data-visualisation, analytics and planning. You’ll get ideas on how to interpret age and gender distributions, spot trends

Robin Jones‘ piece is especially valuable in that it doesn’t just highlight what you can do with parameters, but how and why you should. He explores design decisions around user

This isn’t just theoretical, Leopold Ringmayr’s guide dives into the setup steps – like running the Tableau MCP server, connecting a client LLM such as Claude Code, and then leveraging

Beyond the what and how of LODs, Francesca Plaskett’s article encourages a mindset shift: treating your data prep as a place to do more than clean and filter, but also

What makes this article a must-read, is the mindset it cultivates: intentional design, ethical storytelling and user-centred thinking. For example, Joshua Smith emphasises the need to think about ethics and

Kevin Flerlage (of The Flerlage Twins) offers practical reflection on how data can reconnect with genuine impact – encouraging you to question your own use of “relevance” and “value” in

Alyssa Huff’s article offers insights into how to use these principles as part of your workflow: when to evaluate your interface, how the heuristics complement (but don’t replace) user testing,