Automated Data Analysis Using Excel 2Nd Edition 2021 at Meripustak

Automated Data Analysis Using Excel 2Nd Edition 2021

Books from same Author: Brian D. Bissett

Books from same Publisher: Taylor and Francis

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  • General Information  
    Author(s)Brian D. Bissett
    PublisherTaylor and Francis
    ISBN9781482250138
    Pages592
    BindingSoftbound
    LanguageEnglish
    Publish YearAugust 2020

    Description

    Taylor and Francis Automated Data Analysis Using Excel 2Nd Edition 2021 by Brian D. Bissett

    This new edition covers some of the key topics relating to the latest version of MS Office through Excel 2019, including the creation of custom ribbons by injecting XML code into Excel Workbooks and how to link Excel VBA macros to customize ribbon objects. It now also provides examples in using ADO, DAO, and SQL queries to retrieve data from databases for analysis. Operations such as fully automated linear and non-linear curve fitting, linear and non-linear mapping, charting, plotting, sorting, and filtering of data have been updated to leverage the newest Excel VBA object models. The text provides examples on automated data analysis and the preparation of custom reports suitable for legal archiving and dissemination.Functionality Demonstrated in This Edition Includes:Find and extract information raw data filesFormat data in color (conditional formatting)Perform non-linear and linear regressions on dataCreate custom functions for specific applicationsGenerate datasets for regressions and functionsCreate custom reports for regulatory agenciesLeverage email to send generated reportsReturn data to Excel using ADO, DAO, and SQL queriesCreate database files for processed dataCreate tables, records, and fields in databasesAdd data to databases in fields or recordsLeverage external computational enginesCall functions in MATLAB (R) and Origin (R) from Excel Preface. About the Author. Acknowledgments. Introduction. Chapter 1 Customizing Excel's Ribbon Interface. Chapter 2 Accessing Data in Excel: A VBA Macro Writer's Perspective. Chapter 3 Methods of Loading and Saving Data in Excel. Chapter 4 Control and Manipulation of Worksheet Data. Chapter 5 Utilizing Functions in Excel. Chapter 6 Data Mining in Excel. Chapter 7 Creating Custom Report Worksheets. Chapter 8 Introduction to Microsoft Access. Chapter 9 From Excel to Access and Back Again. Chapter 10 Analyses Via External Applications. Chapter 11 An Example ADA Application. Index.