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Automated Data Analysis Using Excel

Automated Data Analysis Using Excel

by Brian D. Bissett
Paperback
Publication Date: 21/08/2020

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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
ISBN:
9781482250138
9781482250138
Category:
Data mining
Format:
Paperback
Publication Date:
21-08-2020
Publisher:
Taylor & Francis Inc
Country of origin:
United States
Edition:
2nd Edition
Pages:
592
Dimensions (mm):
254x178mm
Weight:
0.98kg

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