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Automated Data Analysis Using Excel (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series),Used
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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 nonlinear curve fitting, linear and nonlinear 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 filesFormat data in color (conditional formatting)Perform nonlinear and linear regressions on dataCreate custom functions for specific applicationsGenerate datasets for regressions and functionsCreate custom reports for regulatory agenciesLeverage email to send generated reportsReturn data to Excel using ADO, DAO, and SQL queriesCreate database files for processed dataCreate tables, records, and fields in databasesAdd data to databases in fields or recordsLeverage external computational enginesCall functions in MATLAB and Origin from Excel
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