Automated Data Analysis Using Excel, 2nd Edition

Book Description

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^® and origin from Excel

Table of contents

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

About The Author

Brian D. Bissett