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Categorical Data Analysis Using the SAS System, Second Edition
(9781580257107) - Dimensions: 280x210 - Edition: 2nd edition - ISBN: 9781580257107 - Number of pages: 648 - SAS Publishing - Weight: 1436 g
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| Identifiers | |
| ISBN | 1580257100 |
| ID | 13948438 |
| Dimensions / Weight | |
| Key Features | |
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Dimensions The pixel dimensions of a display or image, expressed as width by height (e.g., 1920x1080). It indicates how many pixels are used to render the visual content and is commonly used for monitors, TVs, smartphones, cameras, and digital images.
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280x210 |
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Edition A brief statement indicating the edition or version of a product, such as "Reprint", "New Edition", or a numeric edition number like "2nd edition". It identifies which specific release of the item is being referenced.
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2nd edition |
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ISBN A unique identifier assigned to books and other printed publications, typically consisting of 10 or 13 digits. It may include hyphens for readability but is treated as a string value. The ISBN uniquely identifies a specific edition of a title across the publishing industry.
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9781580257107 |
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Number of pages The total count of individual pages contained in a book or printed publication. It represents the number of physical sheets that make up the product, regardless of layout or formatting.
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648 |
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Publisher The name of the entity that publishes or distributes the product, such as a book, magazine, or other media item.
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SAS Publishing |
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Weight The mass of the product expressed in a standard unit such as grams or kilograms. It represents how heavy the item is and can be used for shipping calculations, handling instructions, or consumer information.
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1436 g |
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Explore categorical data analysis through clear theory, practical examples, and statistical software guidance, making complex concepts accessible for students and researchers alike.
Hardcover edition of Women, Fire, and Dangerous Things explores how language shapes cognition, revealing hidden structures in everyday categories through Lakoff’s insightful analysis of thought patterns.
Explore categorical data analysis through clear theory, practical examples, and statistical software guidance, making complex concepts accessible for students and researchers alike.
Hardcover edition of Women, Fire, and Dangerous Things explores how language shapes cognition, revealing hidden structures in everyday categories through Lakoff’s insightful analysis of thought patterns.
