| Description |
1 online resource (xxxix, 538 pages) : illustrations |
| Series |
Chandos information professional series |
|
Chandos information professional series.
|
| Contents |
Introduction (why this book is needed) -- Commonalities -- Defining data -- Types of data issues -- Microsoft Excel techniques -- Data clean-up in Excel -- Excel: combining data -- Additional tools -- Access techniques -- Access forms -- Access reports -- Access queries -- Data clean-up in Access -- Access -- combining data -- Strategies for missing data -- Qualitative data -- ROI -- Data collection and analysis -- Data quality policy -- Next steps |
| Summary |
Data use in the library has specific characteristics and common problems. Data Clean-up and Management addresses these, and provides methods to clean up frequently-occurring data problems using readily-available applications. The authors highlight the importance and methods of data analysis and presentation, and offer guidelines and recommendations for a data quality policy. The book gives step-by-step how-to directions for common dirty data issues. Focused towards libraries and practicing librariansDeals with practical, real-life issues and addresses common problems that all libraries faceOffers cradle-to-grave treatment for preparing and using data, including download, clean-up, management, analysis and presentation |
| Bibliography |
Includes bibliographical references (pages 527-531) and index |
| Notes |
Print version record |
| Subject |
Data editing.
|
|
Libraries -- Data processing.
|
|
COMPUTERS -- Computer Literacy.
|
|
COMPUTERS -- Computer Science.
|
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COMPUTERS -- Data Processing.
|
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COMPUTERS -- Hardware -- General.
|
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COMPUTERS -- Information Technology.
|
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COMPUTERS -- Machine Theory.
|
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COMPUTERS -- Reference.
|
|
Data editing
|
|
Libraries -- Data processing
|
| Form |
Electronic book
|
| Author |
Furuta, Kenneth
|
| ISBN |
9781780633473 |
|
1780633475 |
|
1843346729 |
|
9781843346722 |
|
