Data manipulation routine
A data manipulation routine is a procedure that selects, transforms, organizes, aggregates, filters, or otherwise modifies data for processing or analysis.
Data-Oriented Programming: Reduce software complexity
Data manipulation code computes or transforms structured data without directly managing persistent application state.
- How it is used
- Uses data manipulation routines to implement business logic while keeping state management and collection mechanics separate.
- How deep it goes
- Defines input-output transformations, testing, utility design, and separation boundaries, but stops short of formal theory.
- Examples
- Demonstrates recursive collection comparison, member insertion, database-row transformation, keying, grouping, and joining book records.
- What you can do after
- Builds named, testable transformation utilities and applies them to database and service data without mixing business intent with collection mechanics.
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The Well-Grounded Data Analyst
Data manipulation is the process of sorting, grouping, reshaping, or otherwise transforming data to support analysis.
- How it is used
- Deploys transformations as the bridge between loaded datasets and analysis, visualization, forecasting, or interactive exploration.
- How deep it goes
- Details filtering, sorting, grouping, reshaping, combining, and query construction, but stops short of implementation-independent algorithmic internals.
- Examples
- Uses combined CSV or Excel datasets, geographic house-price filters, summary metrics, charts, raw-data tables, and large time-series files.
- What you can do after
- Apply it via pandas to prepare, filter, summarize, visualize, and feed datasets into analyses or interactive prototypes.
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Related concepts
- pandasused by · pandas is an open-source Python library that provides labeled data structures and tools for manipulating and analyzing tabular and other structured data.
- insertused by · An insertion is an operation that adds an element, record, or key-value association to a collection or data store, with placement and replacement behavior determined by the target.
- statefulnesscontrasts with · Statefulness is the property of a system or operation whose behavior or results depend on information retained or changed across interactions or executions.
- SQLused by · SQL is a standardized declarative language for defining, querying, and manipulating data and structures in relational database systems.
- Immutable.jsused by · Immutable.js is a JavaScript library providing persistent immutable collections and other immutable data structures.
- genericsimplemented by · Generics are programming-language constructs that parameterize or generalize types and operations so they can apply to multiple concrete types or input forms.
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