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2NF Data Normalization is needed.

2NF Data Normalization is needed.

Database System Concepts
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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2NF Data Normalization is needed.

Product ID and Customer Order ID are the attributes constituting the composite primary key. (Yellow columns)

The table presented is a detailed dataset displaying customer purchase information for different products such as basketballs, bats, and golf balls. Here's a structured breakdown of the table contents: ### Columns and Data Description 1. **Customer ID:** Unique identifier for each customer (e.g., bsmith1, jthomas1). 2. **Customer:** Name of the customer (e.g., Bob Smith, Jill Thomas). 3. **Customer Address:** Residential address of the customer (e.g., 123 Brodway Dr, 12 Kellog Ave). 4. **Email Address:** Email contact for the customer (e.g., bsmith@gmail.com). 5. **Customer Email Subscription:** Product-based email subscription preferences (e.g., Baseball, Basketball). 6. **Customer Mail Catalogs 1 & 2:** Indicates customer interest in receiving catalogs for different sports (e.g., Baseball, Golf). 7. **Product ID:** Identifier for each product (e.g., Baskteball-SP, Bat-L). 8. **Product:** Type of product purchased (e.g., Basketball, Bat). 9. **Product Manufacturer:** Company that manufactures the product (e.g., Spaulding, Slugger). 10. **Product Manufacturer Address:** Address of the manufacturing company (e.g., 1 Spaulding Drive). 11. **Product Details:** Specific characteristics of the product (e.g., 29.5 Inch, 32 Inch). 12. **Product Cost:** Price per unit of the product (e.g., $25, $44). 13. **Quantity:** Number of units purchased (e.g., 1, 2). 14. **Customer Order ID:** Order identifier for each transaction. 15. **Order Date:** Date the order was placed (e.g., 8/9/18). 16. **Order Total:** Total cost for the order (e.g., $70, $88). ### Graphs/Diagrams There are no graphs or diagrams in this table; it is a straightforward tabular dataset prepared for analysis on customer purchasing behavior, product preferences, and distributor information. ### Usage This information is beneficial for understanding customer purchasing trends, managing inventory based on customer interest, and optimizing marketing strategies for different sports categories.
Transcribed Image Text:The table presented is a detailed dataset displaying customer purchase information for different products such as basketballs, bats, and golf balls. Here's a structured breakdown of the table contents: ### Columns and Data Description 1. **Customer ID:** Unique identifier for each customer (e.g., bsmith1, jthomas1). 2. **Customer:** Name of the customer (e.g., Bob Smith, Jill Thomas). 3. **Customer Address:** Residential address of the customer (e.g., 123 Brodway Dr, 12 Kellog Ave). 4. **Email Address:** Email contact for the customer (e.g., bsmith@gmail.com). 5. **Customer Email Subscription:** Product-based email subscription preferences (e.g., Baseball, Basketball). 6. **Customer Mail Catalogs 1 & 2:** Indicates customer interest in receiving catalogs for different sports (e.g., Baseball, Golf). 7. **Product ID:** Identifier for each product (e.g., Baskteball-SP, Bat-L). 8. **Product:** Type of product purchased (e.g., Basketball, Bat). 9. **Product Manufacturer:** Company that manufactures the product (e.g., Spaulding, Slugger). 10. **Product Manufacturer Address:** Address of the manufacturing company (e.g., 1 Spaulding Drive). 11. **Product Details:** Specific characteristics of the product (e.g., 29.5 Inch, 32 Inch). 12. **Product Cost:** Price per unit of the product (e.g., $25, $44). 13. **Quantity:** Number of units purchased (e.g., 1, 2). 14. **Customer Order ID:** Order identifier for each transaction. 15. **Order Date:** Date the order was placed (e.g., 8/9/18). 16. **Order Total:** Total cost for the order (e.g., $70, $88). ### Graphs/Diagrams There are no graphs or diagrams in this table; it is a straightforward tabular dataset prepared for analysis on customer purchasing behavior, product preferences, and distributor information. ### Usage This information is beneficial for understanding customer purchasing trends, managing inventory based on customer interest, and optimizing marketing strategies for different sports categories.
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