Data Clean Up and Management

• Author : Margaret Hogarth,Kenneth Furuta
• Publisher : Elsevier
• Release : 22 October 2012

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 librarians Deals with practical, real-life issues and addresses common problems that all libraries

• Author : Mike Allen
• Publisher : SAGE Publications
• Release : 11 April 2017

Communication research is evolving and changing in a world of online journals, open-access, and new ways of obtaining data and conducting experiments via the Internet. Although there are generic encyclopedias describing basic social science research methodologies in general, until now there has been no comprehensive A-to-Z reference work exploring methods specific to communication and media studies. Our entries, authored by key figures in the field, focus on special considerations when applied specifically to communication research, accompanied by engaging examples from

• Author : Neil J. Salkind
• Publisher : SAGE
• Release : 22 June 2010

"Comprising more than 500 entries, the Encyclopedia of Research Design explains how to make decisions about research design, undertake research projects in an ethical manner, interpret and draw valid inferences from data, and evaluate experiment design strategies and results. Two additional features carry this encyclopedia far above other works in the field: bibliographic entries devoted to significant articles in the history of research design and reviews of contemporary tools, such as software and statistical procedures, used to analyze results. It covers

• Author : Mark van der Loo,Edwin de Jonge
• Publisher : John Wiley & Sons
• Release : 16 April 2018

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 with Applications in R 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

• Author : Anonim
• Publisher : GBIF
• Release : 26 May 2022

• Author : OECD
• Publisher : OECD Publishing
• Release : 02 December 2021

Supreme audit institutions can contribute to promoting substantial improvements in public management. In Colombia, the Office of the Comptroller General of the Republic (CGR) has implemented a new preventive and concomitant control function that identifies risks while projects and budgets are being executed.

• Author : Margareta Magnusson
• Publisher : Simon and Schuster
• Release : 02 January 2018

A charming, practical, and unsentimental approach to putting a home in order while reflecting on the tiny joys that make up a long life. In Sweden there is a kind of decluttering called döstädning, dö meaning “death” and städning meaning “cleaning.” This surprising and invigorating process of clearing out unnecessary belongings can be undertaken at any age or life stage but should be done sooner than later, before others have to do it for you. In The

• Author : United States. Congress. House. Committee on Appropriations. Subcommittee on Homeland Security
• Publisher : Unknown Publisher
• Release : 26 May 2022

• Author : Hadley Wickham,Garrett Grolemund
• Publisher : "O'Reilly Media, Inc."
• Release : 12 December 2016

Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring,

• Author : Ihab F. Ilyas,Xu Chu
• Publisher : Morgan & Claypool
• Release : 18 June 2019

Data quality is one of the most important problems in data management, since dirty data often leads to inaccurate data analytics results and incorrect business decisions. Poor data across businesses and the U.S. government are reported to cost trillions of dollars a year. Multiple surveys show that dirty data is the most common barrier faced by data scientists. Not surprisingly, developing effective and efficient data cleaning solutions is challenging and is rife with deep theoretical and engineering problems. This

• Author : Carl Anderson
• Publisher : "O'Reilly Media, Inc."
• Release : 23 July 2015

"What do you need to become a data-driven organization? Far more than having big data or a crack team of unicorn data scientists, it requires establishing an effective, deeply-ingrained data culture. This practical book shows you how true data-drivenness involves processes that require genuine buy-in across your company ... Through interviews and examples from data scientists and analytics leaders in a variety of industries ... Anderson explains the analytics value chain you need to adopt when building predictive business models"--Publisher's description.

• Author : United States. Congress. House. Committee on Appropriations. Subcommittee on Department of the Interior and Related Agencies
• Publisher : Unknown Publisher
• Release : 26 May 1998

• Author : International Atomic Energy Agency
• Publisher : Unipub
• Release : 26 May 1989

Experience at Chernobyl showed that the main long term radiological consequence to the population will probably be external exposure from radiaoctive fallout deposited on the ground. The present text provides an overview of the methodology and technology available for cleaning up large areas and gives preliminary guidance on the planning, implementation and management of such cleanups.

• Author : Samuel E. Buttrey,Lyn R. Whitaker
• Publisher : John Wiley & Sons
• Release : 18 December 2017

The only how-to guide offering a unified, systemic approach to acquiring, cleaning, and managing data in R Every experienced practitioner knows that preparing data for modeling is a painstaking, time-consuming process. Adding to the difficulty is that most modelers learn the steps involved in cleaning and managing data piecemeal, often on the fly, or they develop their own ad hoc methods. This book helps simplify their task by providing a unified, systematic approach to acquiring, modeling, manipulating, cleaning, and maintaining

• Author : Ramón C. Barquín,Herb Edelstein
• Publisher : Prentice Hall
• Release : 26 May 1997

When it comes to making organizations smarter, faster, and more competitive, few technologies have more promise than data warehousing. This book shows you how to translate that promise into reality.