Concept · 3 steps · NESA SC4-DA1-01

Collecting & Organising Datasets

Every honest chart starts with the unglamorous bit: a messy pile of observations someone had to collect and tidy. From turning a pile into counts, all the way to spotting the five quiet ways a dataset gets poisoned. Three short steps, each with its own toy to play with.

1 Where it comes fromRaw observations are a messy pile until you organise them. Click results in and watch a frequency table fill itself with tallies and counts. 2 How to do itThe four-step routine — define the variable, sample fairly, record tidily, tally into counts. Drag the mess into clean tables. 3 Where it gets trickyBiased samples, leading questions, missing data, double-counting and mismatched units — fair or flawed?

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What Is Data

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Picturing & Analysing Data