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Automated Data Analysis Using Excel (Chapman & Hall/CRC Data Mining and

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

Price: 102 AUD

Location: Hillsdale, NSW

End Time: 2024-11-11T16:51:33.000Z

Shipping Cost: 26.53 AUD

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Automated Data Analysis Using Excel (Chapman & Hall/CRC Data Mining andAutomated Data Analysis Using Excel (Chapman & Hall/CRC Data Mining and

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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

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