Figures that survive a judge at one metre
Practical rules for charts that have to be read across a table, in a noisy hall, in ten seconds.
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Curated guides, templates, and reading — the things worth knowing before you need them.
24 resources
Practical rules for charts that have to be read across a table, in a noisy hall, in ten seconds.
A four-step method for getting from "I like marine biology" to a question you can test with the equipment you actually have.
Column structure, the 40% white-space rule, and what to cut when it does not fit.
Where to find the full text when the journal wants forty dollars for it.
What belongs in Introduction, Methods, Results, and Discussion — and the sentences that end up in the wrong one.
Working backwards from fair day, including the approval gates that stop work before it starts.
The four properties every fair-ready question has, with before-and-after rewrites.
Free, open-source reference manager. Captures papers from the browser, syncs across devices, and generates bibliographies in any style.
Fifteen checks to run on your abstract before submitting it.
Worked summaries of strong projects by category, with what made each one work. Study the structure — never copy the project.
Why the style matters less than the consistency, and the four fields you must never omit.
A one-page printable checklist to run against your procedure before data collection starts.
A fill-in template for stating design requirements, constraints, and test criteria before you build.
The widest net for academic literature. Use the "Cited by" and "Related articles" links — they are usually faster than a new search.
Every chart type with the code that produced it. Faster to find the plot you want here than to search for it.
The official quick-start for the library most data analysis in Python runs through. Worth doing properly once.
Block out your board before you open the design software — content first, layout second.
The distinction judges probe and most students blur.
A drill for building an explanation that survives interruption, noise, and forty repetitions.
A large, searchable catalogue of starter projects by field and difficulty. Useful for seeing the shape of a project, less useful if you copy one wholesale.
Short, genuinely clear video explanations of statistical concepts, from the basics through to machine-learning methods.
How to identify all four in your own design, with a worked example.
An orientation to the common form set and the order it is completed in. Informational only — confirm every requirement with your own fair.
A worked template, plus the four failure modes that make a hypothesis untestable.