Managing Data With Excel
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Managing Data With Microsoft Excel
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Author : Conrad George Carlberg
language : en
Publisher: Que Publishing
Release Date : 2004
Managing Data With Microsoft Excel written by Conrad George Carlberg and has been published by Que Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Computers categories.
This title provides key data management information, focusing on efficient and effective data management.
Managing Data Using Excel
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Author : Mark Gardener
language : en
Publisher: Pelagic Publishing Ltd
Release Date : 2015-04-20
Managing Data Using Excel written by Mark Gardener and has been published by Pelagic Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-20 with Computers categories.
Microsoft Excel is a powerful tool that can transform the way you use data. This book explains in comprehensive and user-friendly detail how to manage, make sense of, explore and share data, giving scientists at all levels the skills they need to maximize the usefulness of their data. Readers will learn how to use Excel to: * Build a dataset – how to handle variables and notes, rearrangements and edits to data. * Check datasets – dealing with typographic errors, data validation and numerical errors. * Make sense of data – including datasets for regression and correlation; summarizing data with averages and variability; and visualizing data with graphs, pivot charts and sparklines. * Explore regression data – finding, highlighting and visualizing correlations. * Explore time-related data – using pivot tables, sparklines and line plots. * Explore association data – creating and visualizing contingency tables. * Explore differences – pivot tables and data visualizations including box-whisker plots. * Share data – methods for exporting and sharing your datasets, summaries and graphs. Alongside the text, Have a Go exercises, Tips and Notes give readers practical experience and highlight important points, and helpful self-assessment exercises and summary tables can be found at the end of each chapter. Supplementary material can also be downloaded on the companion website. Managing Data Using Excel is an essential book for all scientists and students who use data and are seeking to manage data more effectively. It is aimed at scientists at all levels but it is especially useful for university-level research, from undergraduates to postdoctoral researchers.
Managing Data With Microsoft Excel
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Author : Conrad George Carlberg
language : en
Publisher:
Release Date : 2004
Managing Data With Microsoft Excel written by Conrad George Carlberg and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Business categories.
You have learned the methods to the madness of Excel. Formulas and functions are friends instead of foes. Yet you know there's something missing that could make your job even easier. That "something" is efficient and effective data management. Managing Data with Excel is the only book on the market that focuses on just that. Learn how to efficiently move data, automate data storage and import data into worksheets and pivot tables. Case studies are included in each chapter to illustrate real-world applications of these functions. Invest your time in learning this now so that you can stop wasting your time figuring out how to work around problems.
Managing Data With Excel
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Author : Conrad George Carlberg
language : en
Publisher: Que Pub
Release Date : 1996
Managing Data With Excel written by Conrad George Carlberg and has been published by Que Pub this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Computers categories.
Offers techniques for maximizing data handling capabilities
Managing Data Integrity For Finance
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Author : Jane Sarah Lat
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-01-31
Managing Data Integrity For Finance written by Jane Sarah Lat and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-31 with Computers categories.
Level up your career by learning best practices for managing the data quality and integrity of your financial data Key Features Accelerate data integrity management using artificial intelligence-powered solutions Learn how business intelligence tools, ledger databases, and database locks solve data integrity issues Find out how to detect fraudulent transactions affecting financial report integrity Book DescriptionData integrity management plays a critical role in the success and effectiveness of organizations trying to use financial and operational data to make business decisions. Unfortunately, there is a big gap between the analysis and management of finance data along with the proper implementation of complex data systems across various organizations. The first part of this book covers the important concepts for data quality and data integrity relevant to finance, data, and tech professionals. The second part then focuses on having you use several data tools and platforms to manage and resolve data integrity issues on financial data. The last part of this the book covers intermediate and advanced solutions, including managed cloud-based ledger databases, database locks, and artificial intelligence, to manage the integrity of financial data in systems and databases. After finishing this hands-on book, you will be able to solve various data integrity issues experienced by organizations globally.What you will learn Develop a customized financial data quality scorecard Utilize business intelligence tools to detect, manage, and resolve data integrity issues Find out how to use managed cloud-based ledger databases for financial data integrity Apply database locking techniques to prevent transaction integrity issues involving finance data Discover the methods to detect fraudulent transactions affecting financial report integrity Use artificial intelligence-powered solutions to resolve various data integrity issues and challenges Who this book is for This book is for financial analysts, technical leaders, and data professionals interested in learning practical strategies for managing data integrity and data quality using relevant frameworks and tools. A basic understanding of finance concepts, accounting, and data analysis is expected. Knowledge of finance management is not a prerequisite, but it’ll help you grasp the more advanced topics covered in this book.
How Libraries Should Manage Data
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Author : Brian Cox
language : en
Publisher: Chandos Publishing
Release Date : 2015-09-04
How Libraries Should Manage Data written by Brian Cox and has been published by Chandos Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-09-04 with Language Arts & Disciplines categories.
Have you ever looked at your Library's key performance indicators and said to yourself "so what!"? Have you found yourself making decisions in a void due to the lack of useful and easily accessible operational data? Have you ever worried that you are being left behind with the emergence of data analytics? Do you feel there are important stories in your operational data that need to be told, but you have no idea how to find these stories? If you answered yes to any of these questions, then this book is for you. How Libraries Should Manage Data provides detailed instructions on how to transform your operational data from a fog of disconnected, unreliable, and inaccessible information - into an exemplar of best practice data management. Like the human brain, most people are only using a very small fraction of the true potential of Excel. Learn how to tap into a greater proportion of Excel's hidden power, and in the process transform your operational data into actionable business intelligence. - Recognize and overcome the social barriers to creating useful operational data - Understand the potential value and pitfalls of operational data - Learn how to structure your data to obtain useful information quickly and easily - Create your own desktop library cube with step-by-step instructions, including DAX formulas
Data Management For Social Scientists
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Author : Nils B. Weidmann
language : en
Publisher: Cambridge University Press
Release Date : 2023-03-09
Data Management For Social Scientists written by Nils B. Weidmann and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-09 with Social Science categories.
The 'data revolution' offers many new opportunities for research in the social sciences. Increasingly, social and political interactions can be recorded digitally, leading to vast amounts of new data available for research. This poses new challenges for organizing and processing research data. This comprehensive introduction covers the entire range of data management techniques, from flat files to database management systems. It demonstrates how established techniques and technologies from computer science can be applied in social science projects, drawing on a wide range of different applied examples. This book covers simple tools such as spreadsheets and file-based data storage and processing, as well as more powerful data management software like relational databases. It goes on to address advanced topics such as spatial data, text as data, and network data. This book is one of the first to discuss questions of practical data management specifically for social science projects. This title is also available as Open Access on Cambridge Core.
A Data Scientist S Guide To Acquiring Cleaning And Managing Data In R
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Author : Samuel E. Buttrey
language : en
Publisher: John Wiley & Sons
Release Date : 2017-12-18
A Data Scientist S Guide To Acquiring Cleaning And Managing Data In R written by Samuel E. Buttrey and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-18 with Computers categories.
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 data in R. Starting with the very basics, data scientists Samuel E. Buttrey and Lyn R. Whitaker walk readers through the entire process. From what data looks like and what it should look like, they progress through all the steps involved in getting data ready for modeling. They describe best practices for acquiring data from numerous sources; explore key issues in data handling, including text/regular expressions, big data, parallel processing, merging, matching, and checking for duplicates; and outline highly efficient and reliable techniques for documenting data and recordkeeping, including audit trails, getting data back out of R, and more. The only single-source guide to R data and its preparation, it describes best practices for acquiring, manipulating, cleaning, and maintaining data Begins with the basics and walks readers through all the steps necessary to get data ready for the modeling process Provides expert guidance on how to document the processes described so that they are reproducible Written by seasoned professionals, it provides both introductory and advanced techniques Features case studies with supporting data and R code, hosted on a companion website A Data Scientist's Guide to Acquiring, Cleaning and Managing Data in R is a valuable working resource/bench manual for practitioners who collect and analyze data, lab scientists and research associates of all levels of experience, and graduate-level data mining students.
Data Management Data Data Everywhere
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Author : Richard Cooper
language : en
Publisher: Springer
Release Date : 2007-08-19
Data Management Data Data Everywhere written by Richard Cooper and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-08-19 with Computers categories.
This book features the refereed proceedings from the 24th British National Conference on Databases, held in Glasgow, Scotland in July 2007. The eighteen full papers and seven poster papers are presented, together with two invited contributions. Papers are organized into topical sections covering data applications, searching XML documents, querying XML documents, XML transformation, clustering and security, data mining, and extraction.
Glass Manual On The Management Of Antimicrobial Consumption Data
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Author :
language : en
Publisher: World Health Organization
Release Date : 2020-09-08
Glass Manual On The Management Of Antimicrobial Consumption Data written by and has been published by World Health Organization this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-08 with Medical categories.