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Wide format

As explained in The Well-Grounded Data Analyst

Wide data is a tabular representation in which each entity occupies a row and measurements or attributes occupy columns.

Wide format stores one row per entity and places the entity’s measurements or attributes in columns. Adding measurements therefore makes the table wider. Choosing between wide and long formats is a data-modeling decision shaped by the questions the data must answer. section 3.1.1

Football results

A football-results table is wide when each row represents a match and columns hold the date, competition, teams, and goals. Adding a Winner column supports questions such as which country won the most World Cup games. Counting participation is harder because each match contains both Home team and Away team fields; a long-format version uses one row per participant instead. section 3.1.1

How The Well-Grounded Data Analyst covers it

How deep it goes
Defines row and column structure, contrasts long format, and shows how granularity affects analytical questions.
Examples
Uses football matches with teams, goals, and competitions, then reorganizes matches into participant-level rows.
What you can do after
Evaluate which table structure makes a stakeholder’s analytical question easier to answer.
How it connects
Connects wide format with long format, data modeling, entity granularity, and analytical question design.

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Related concepts

This explainer was generated by Manning's knowledge graph from the text of The Well-Grounded Data Analyst. The section links point to the parts of the book it draws on.