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Tools Overview

Spreadsheets, notebooks, dashboards, database clients. Loads of options, and every team seems to pick differently.

We map out the main categories of tools people use to work with data - what each type is generally for. No walkthroughs of specific software, just the lay of the land.

Format: overview reading, no product-specific guides.

Charts and Visuals

A pie chart with 14 slices tells you nothing. A bar chart with a truncated axis tells you a lie. Picking the right visual matters.

Materials cover the common chart types you'll bump into, plus the basic rules for showing numbers honestly - so the reader gets the actual picture, not a distorted one.

Format: intro reading with plain-language explanations.

Data Basics

Think of a spreadsheet with names, dates, prices. That's data. These materials walk through what counts as data, the shapes it takes, and how people put structure on top of raw records.

Format: short intro texts, plain wording, no jumping into technical depth.

Reading the Results

A number on its own means little. Context does the heavy lifting - who was measured, when, how many people, what got left out.

These materials walk through how to read conclusions carefully, spot the limits of an analysis, and avoid jumping past what the data actually says.

Format: descriptive reading, introductory in nature.

Statistics, the Intuitive Version

Averages, spread, the difference between 'usually' and 'sometimes'. Basic stats concepts explained the way you'd explain them to a friend over coffee.

No heavy formulas. Just the underlying idea, so numbers stop looking like a wall of symbols.

Format: intro texts aimed at general understanding.