Automated data analysis using Excel
著者
書誌事項
Automated data analysis using Excel
（Chapman & Hall/CRC data mining and knowledge discovery series）
CRC Press, 2021, c2020
2nd ed
- : pbk
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注記
"A Chapman & Hall book"
Includes index
内容説明・目次
内容説明
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 files
Format data in color (conditional formatting)
Perform non-linear and linear regressions on data
Create custom functions for specific applications
Generate datasets for regressions and functions
Create custom reports for regulatory agencies
Leverage email to send generated reports
Return data to Excel using ADO, DAO, and SQL queries
Create database files for processed data
Create tables, records, and fields in databases
Add data to databases in fields or records
Leverage external computational engines
Call functions in MATLAB (R) and Origin (R) from Excel
目次
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.
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