
Beginner's Guide to Data
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- Data is any record of what happened, kept the same way every time, and it beats memory because anyone can count it and check it.
- Begin every piece of data work with one specific question tied to a decision, not with a spreadsheet full of numbers to explore.
- Keep tables tidy: one row per thing, one column per detail, one value per cell, and one fixed format for dates and names.
- Look at the median and the extreme values alongside the average, because a few unusual cases can drag an average far from typical.
- Before claiming a cause, ask what else changed, who is missing from the records and what total each count came from.
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- What data actually is
Data is any record of something that happened, written down in a consistent way so it can be counted, compared or checked later. Numbers are the obvious kind, but data also includes dates, product names, yes-or-no answers, ratings and short comments.
- The words that unlock any spreadsheet
A dataset is a collection of records about one kind of thing, usually laid out as a table. Each row is one record, sometimes called an observation: one sale, one student, one delivery.
- First move: start with a question
The common beginner instinct is to open a spreadsheet and hunt for something interesting. It rarely works, because a table can be sliced a hundred ways and most lead nowhere.
- Second move: build a tidy table
Once you know your question, gather the records into a tidy table. The rules are short.
- Third move: summarise, then picture it
With a tidy table you can start answering. Most beginner questions need only four operations: count how many, sort from largest to smallest, filter to the rows that matter, and summarise with an average or a median.
- Classic beginner mistakes to skip
Four mistakes catch almost everyone early on. The first is reading cause into a pattern.
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