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 (R) and Origin (R) from Excel
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EAN: 9781482250138
UPC: 9781482250138
ISBN: 9781482250138
MPN: N/A
Book Title: Automated Data Analysis Using Excel (Chapman & Hal
Item Length: 25.4 cm
Item Height: 254 mm
Item Width: 178 mm
Author: Brian D. Bissett
Publication Name: Automated Data Analysis Using Excel
Format: Paperback
Language: English
Publisher: Apple Academic Press Inc.
Subject: Economics, Computer Science
Publication Year: 2020
Type: Textbook
Item Weight: 1188 g
Number of Pages: 592 Pages