Derived variable
A derived variable is a data field computed from one or more existing variables through a calculation, rule, or transformation.
Statistics Slam Dunk
A derived variable is a data variable computed from one or more existing variables rather than directly recorded in the original dataset.
- How it is used
- Prepare raw basketball data for segmentation, visualization, ANOVA, logistic regression, and clustering.
- How deep it goes
- Demonstrates conditional, arithmetic, string, and aggregate derivations, including factor conversion and validation checks.
- Examples
- Uses birth country, college attendance, positions, draft ranges, team salaries and wins, seasons, points allowed, and points per game.
- What you can do after
- Apply it via R functions to create categorical, numeric, text, and aggregate variables for later analysis.
Statistics Every Programmer Needs
A derived variable is a variable created from existing variables through a calculation, rule, or other transformation.
- How it is used
- Creates model targets, test inputs, or analytical fields from information already present in a data frame.
- How deep it goes
- Explains source selection, transformation rules, assignment, and inspection, but does not develop a general theory of feature engineering.
- Examples
- Uses a fourth-down conversion flag and expected counts for Benford-distribution testing.
- What you can do after
- Builds derived fields with pandas and NumPy for modeling or statistical analysis.
Read how Statistics Every Programmer Needs explains derived variable →
Related concepts
- mutate() functionproduced by · The mutate() function from dplyr creates or modifies columns in a tabular data structure using expressions evaluated against existing columns.
- assignproduced by · assign is a pandas DataFrame method that returns a new DataFrame with columns created or replaced from specified values or transformations.
- average transaction valueincludes · Average transaction value is the mean revenue per transaction, calculated as total revenue divided by the number of transactions over a specified scope or period.
- datasetproduced by · A dataset is a collection of related data items organized or treated as a unit for storage, processing, analysis, or computation.
- applyproduced by · In pandas, apply is a method that applies a callable across Series values or along a DataFrame axis and returns the results.
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