Recognize tidy versus untidy data layouts and choose pandas reshaping operations accordingly.
Tidy data turns spreadsheet layout into analyzable variables. One variable per column A variable is something you can compare, filter, group, or plot: month, region, customer type, plan, amount, status, or date. If the variable is hidden in a header like Revenue_Mar, split it out. One observation per row An observation is the unit you are measuring. For monthly campaign spend, one row might be campaign-channel-month. If one row mixes several months, you cannot safely aggregate without reshaping. One observational unit per table Do not force customers, orders, invoices, and events into one flat file if their grains differ. Separate…
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