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Download or read book The Recall s Broken Promise written by Derek Cressman and published by The Poplar Institute. This book was released on 2007-08 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fed up with business as usual, Californians recalled Governor Gray Davis in 2003 and replaced him with a celebrity who pledged to clean up government. The Recall's Broken Promise details how Arnold Schwarzenegger then shattered political fundraising records, attacked campaign finance laws, crossed ethical boundaries, and how politicians of both parties have killed needed reforms.

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Download or read book Reminiscence and Recall written by Faith Gibson and published by Ace Books. This book was released on 1998 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: A revised edition of the volume originally published in 1994 which considers the value of reminiscence to relationships.

Download or read book New York Court of Appeals Records and Briefs written by New York (State). Court of Appeals. and published by . This book was released on 1911 with total page 1222 pages. Available in PDF, EPUB and Kindle. Book excerpt: Volume contains: 203 NY 538 (Curtiss v. Jebb) 202 NY 423 (Davidson v. Stocky) 202 NY 625 (Doyle v. City of Troy) 202 NY 259 (Darcy v. Presbyterian Hospital) 203 NY 547 (Darcy v. Presbyterian Hospital)

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Download or read book Statistical Data Cleaning with Applications in R written by Mark van der Loo and published by John Wiley & Sons. This book was released on 2018-01-29 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive guide to automated statistical data cleaning The production of clean data is a complex and time-consuming process that requires both technical know-how and statistical expertise. Statistical Data Cleaning brings together a wide range of techniques for cleaning textual, numeric or categorical data. This book examines technical data cleaning methods relating to data representation and data structure. A prominent role is given to statistical data validation, data cleaning based on predefined restrictions, and data cleaning strategy. Key features: Focuses on the automation of data cleaning methods, including both theory and applications written in R. Enables the reader to design data cleaning processes for either one-off analytical purposes or for setting up production systems that clean data on a regular basis. Explores statistical techniques for solving issues such as incompleteness, contradictions and outliers, integration of data cleaning components and quality monitoring. Supported by an accompanying website featuring data and R code. This book enables data scientists and statistical analysts working with data to deepen their understanding of data cleaning as well as to upgrade their practical data cleaning skills. It can also be used as material for a course in data cleaning and analyses.