Image from Google Jackets

Automated data analysis using Excel / Brian Bissett.

By: Material type: TextTextSeries: Publisher: Boca Raton : Chapman & Hall/CRC, 2021Copyright date: ©2020Edition: Second editionDescription: 1 online resource : illustrations (black and white)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781003051886
  • 100305188X
  • 9781000088489
  • 1000088480
  • 9781000088472
  • 1000088472
  • 9781000088496
  • 1000088499
Subject(s): DDC classification:
  • 005.1 23
LOC classification:
  • QA76.76.D47
Online resources: Summary: 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
Star ratings
    Average rating: 0.0 (0 votes)
No physical items for this record

Previous edition: 2007.

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

OCLC-licensed vendor bibliographic record.

There are no comments on this title.

to post a comment.
Share

To Reach Us

0206993118
amiu.library@amref.ac.ke

Our Location

Lang’ata Road, opposite Wilson Airport
PO Box 27691 – 00506,   Nairobi, Kenya

Social Networks

Powered by Koha