Videos, blog posts, guides, and the newsletter — everything in one place.
Also: come learn about digital independence 🐸
Cleaning messy donor names in OpenRefine, one clustering algorithm at a time — fingerprints, phonetic matching, and nearest neighbor.
Extract routes, compensation and discrimination signals from messy free text — with OpenRefine, a local LLM, and reproducibility intact.
Cleaning messy datasets two ways: by hand in OpenRefine and with an LLM — and how the dirt itself hides stories.
Let's dig into the dirt 🐸🧹
What makes a good map for your story, plus a hands-on intro to QGIS, the best free mapping tool.
No coding knowledge needed — a systematic approach to prompting so you can get an LLM to code anything.
Also: come learn about maps! Now for real.
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.
Hello my dear frosches! 🐸 WebSummit stories, a Color Analyzer tool, a newsletter robot, plus tutorials and databases.
Building an AI-powered RSS digest that summarises your favourite feeds into a weekly email.
Hello my lovely frosches! Travel, mentoring and community news from The Pond.
Skills and tools to consider when levelling up your data game — from spreadsheets to Python and AI chatbots.
Come learn with me!
Getting ready for summer
Pick the right chart shape for what your data is trying to say.
Your first dip and an upcoming free course.
Rework a real-world chart step by step.
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