Data handling
Data handling is the set of practices and operations for collecting, organizing, transforming, storing, governing, protecting, and using data.
Effective Data Analysis
Data processing is the set of operations that converts raw data into a usable format for analytical purposes.
- How it is used
- Converts raw data into an analytical format at different stages of a data pipeline.
- How deep it goes
- Defines processing and compares ETL and ELT through trade-offs and situational examples.
- Examples
- Uses web scraping, weather forecasts, sensitive-data scrubbing, and hourly vendor API data to illustrate processing choices.
- What you can do after
- Evaluate whether ETL or ELT better fits processing complexity, data reuse, sensitivity, storage, and project needs.
Learn AI-Assisted Python Programming, Second Edition
The collection, transformation, filtering, and analysis of data to produce usable information.
- How it is used
- Uses a familiar sports dataset to demonstrate how Copilot can support a complete data-processing task.
- How deep it goes
- Explains CSV structure and processing steps, but defers detailed code understanding to later learning.
- Examples
- Uses an NFL offensive-statistics CSV to rank quarterbacks by summed passing yards and exclude one player.
- What you can do after
- Apply it via Python and Copilot to read CSV data, filter records, total values, and print sorted results.
Read how Learn AI-Assisted Python Programming, Second Edition explains data handling →
Related concepts
- outputproduces · An output is a result or response produced by a process, operation, or system, including data, content, actions, or signals.
- inputuses · An input is a value, information, or signal supplied to a system, computation, or interface for processing or to influence its behavior.
- pipelineused by · A pipeline is an ordered or coordinated sequence of connected processing stages or tasks that passes data, work, or results toward an outcome.
- provider patternused by · The provider pattern is a design pattern in which a component or service makes shared data or capabilities available to descendant components or dependent consumers.
- entity resolutionhas part · Entity resolution is the process of determining which records or mentions refer to the same real-world entity despite differences in their representations.
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