Amazon cover image
Image from Amazon.com
Syndetics cover image
Image from Syndetics
Image from Google Jackets
Image from OpenLibrary

Automated data analysis using Excel. / Brian D. Bissett.

By: Material type: TextTextSeries: Chapman & hall/crc data mining & knowledge discovery seriesPublisher: Boca Raton, Florida : CRC Press, 2020Edition: Second editionDescription: 1 online resource (610 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781000088472 (e-book)
  • 9781003051886 (e-book)
Subject(s): Genre/Form: Additional physical formats: Print version:: Automated data analysis using Excel.DDC classification:
  • 005.1/112 23
LOC classification:
  • QA76.76.D47 .B577 2020
Online resources: Summary: "This new edition includes some key topics relating to the latest version of MS Office, including use of the ribbon, current Excel file types, Dashboard, and basic Sharepoint integration. It shows how to automate operations, such as curve fitting, sorting, filtering, and analyzing data from a variety of sources. The book allows users to analyze data and automate the preparation of custom reports and demonstrates how to assign Excel VBA code to the new "Ribbon" user interface"-- Provided by publisher.
Item type:
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
No physical items for this record

Includes bibliographical references and index.

"This new edition includes some key topics relating to the latest version of MS Office, including use of the ribbon, current Excel file types, Dashboard, and basic Sharepoint integration. It shows how to automate operations, such as curve fitting, sorting, filtering, and analyzing data from a variety of sources. The book allows users to analyze data and automate the preparation of custom reports and demonstrates how to assign Excel VBA code to the new "Ribbon" user interface"-- Provided by publisher.

Description based on print version record.

Electronic reproduction. Ann Arbor, MI : ProQuest, 2018. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.

There are no comments on this title.

to post a comment.

Ⓒ 2020 Dedan Kimathi University of Technology

Library