Wide format
Wide format is a tabular layout in which each entity occupies a row and distinct measurements, variables, or attributes occupy separate columns.
Statistics Slam Dunk
Wide format is a tabular arrangement in which repeated measurements or categories are represented by separate columns.
- How it is used
- Prepares tabular measurements for summaries, visualizations, and subsequent analysis.
- How deep it goes
- Defines column-based organization and works through salary reshaping, but does not develop formal data-model theory.
- Examples
- Uses NBA salary-cap, real salary, inflation-adjusted salary, and playoff-classification columns across multiple seasons.
- What you can do after
- Apply it via dplyr and pivot_longer() to convert season columns into chart-ready long data.
The Well-Grounded Data Analyst
Wide data is a tabular representation in which each entity occupies a row and measurements or attributes occupy columns.
- How it is used
- Supports data-modeling decisions when organizing one row per entity and selecting columns for attributes or measurements.
- 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.
Read how The Well-Grounded Data Analyst explains wide format →
Related concepts
- long dataalternative to · Long data is a tabular layout in which each row records one observation or measurement, with columns identifying variables, entities, or repeated-measurement contexts.
- pivot_wider() functionproduced by · The pivot_wider() function from tidyr reshapes long-format data into wide format by turning values of a variable into columns.
- research questionaddresses · A research question is a focused, answerable question that an investigation seeks to address using evidence.
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