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What is normalization and also explain all types of normalization with examples Data duplication in a large database can lead to several issues: Relations become very large, making maintenance and
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How to fill out what is normalization and
How to fill out what is normalization and
01
Understand the concept of normalization: It is a statistical technique used to bring different datasets to a common scale.
02
Identify the data that needs normalization: This could include variables that are measured on different scales.
03
Choose a normalization method: Common methods include min-max normalization, z-score normalization, and decimal scaling.
04
Apply the normalization formula: For min-max normalization, use the formula: (X - min(X)) / (max(X) - min(X)). For z-score normalization, use: (X - mean) / standard deviation.
05
Verify the results: Ensure that the normalized values fall within the expected range and maintain the relationships in the data.
Who needs what is normalization and?
01
Data analysts who require standardized data for comparison.
02
Researchers in fields like healthcare or social sciences seeking to normalize survey data.
03
Machine learning practitioners who need to prepare input features for algorithms.
04
Businesses analyzing sales data across different regions with varying scales.
05
Any entity that must combine datasets from disparate sources to draw meaningful insights.
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What is normalization?
Normalization is a process in database design that organizes data to reduce redundancy and improve data integrity.
Who is required to file normalization?
Organizations and entities that manage large datasets or databases may be required to apply normalization principles.
How to fill out normalization?
To fill out normalization, one should follow the steps of identifying data dependencies, structuring tables to eliminate redundancy, and ensuring proper constraints and relationships in the database.
What is the purpose of normalization?
The purpose of normalization is to organize data efficiently, reduce duplication, prevent data anomalies, and ensure data integrity.
What information must be reported on normalization?
Information that must be reported includes the structure of tables, relationships between tables, and any functional dependencies that exist within the data.
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