Spreadsheets for Data Analysis
Spreadsheets are grid-based tools for organizing, calculating, and analyzing data. Applications like Microsoft Excel and Google Sheets let you transform raw numbers into summaries, charts, and models using formulas, functions, and pivot tables.
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Intro
Spreadsheets for Data Analysis
A spreadsheet is a grid of cells that hold data, formulas, and formatting. You type a number into one cell, a formula into another, and the formula recalculates whenever its inputs change. That immediate feedback loop is why spreadsheets remain the most widely used data analysis tool in business.
Why spreadsheets persist
Dedicated statistical software, SQL databases, and Python notebooks each outperform spreadsheets in narrow domains. Spreadsheets persist because they combine data entry, calculation, visualization, and presentation in one visible surface. A finance analyst can build a model, chart its output, and share it with a colleague — all in one file, with no deployment step.
The tradeoff: spreadsheets scale poorly to millions of rows, version control is difficult, and errors propagate silently when formulas reference the wrong cells. Knowing these limits tells you when to stay in a spreadsheet and when to graduate to a database or programming language.
Core mental model
Everything in a spreadsheet is one of three things:
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