Videos, blog posts, guides, and the newsletter — everything in one place.
What text embeddings are and how to put them to work in practice.
Read the words as critically as you read the numbers — what a health-data Pondcast taught us about LLM bias.
Also: come learn about maps!
Uncovering narratives and insights from healthcare expenditure data.
Also: come learn about embeddings and how to find even more stories in data!
Build intuition for what pivot tables do, how to read them, and how to construct them from a question.
What tidy data is, the most common ways spreadsheets go wrong, and a checklist to confirm your data is analysis-ready.
A step-by-step checklist to interrogate any dataset and surface story angles — from first look to context checks.
Let the computer track your units and never miscalculate gigatons vs megatons again.
Discussing methods for measuring carbon dioxide emissions.
Also: come find stories with us and learn how to calculate CO2 emissions!
Why percentages mislead, and what journalists can do about it.
Also: Hang out with us on Mondays!
What 350 evaluation reports reveal about inequality between Copenhagen neighbourhoods.
Behind-the-scenes from mentorship — using AI to classify a big pile of text.
Color theory fundamentals and 4 essential tools for better palettes.
Practical approaches when websites block your scraper.
From zero to scraping a real site, step by step in Python.
Building an AI-powered RSS digest that summarises your favourite feeds into a weekly email.
Skills and tools to consider when levelling up your data game — from spreadsheets to Python and AI chatbots.
Pick the right chart shape for what your data is trying to say.
Rework a real-world chart step by step.
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