Data analysis using Microsoft Excel
Michael R. Middleton
Reading Time
at 250 WPM4h 49m
The average reader, reading at a speed of 250 WPM, would take 4h 49m to read Data analysis using Microsoft Excel.
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10
days at 30 min/day
289
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Data analysis using Microsoft Excel
Published
1997
Publisher
Duxbury Press
Pages
289
ISBN-10
0534244262
Subjects
Frequently Asked Questions
How many pages are in Data analysis using Microsoft Excel?
This edition of Data analysis using Microsoft Excel has approximately 289 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.
How long does it take to read Data analysis using Microsoft Excel?
For most readers, Data analysis using Microsoft Excel typically takes between 6h 1m and 4h 1m to complete. This is based on the book's length of approximately 72,250 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 4h 49m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 10 days • Estimated word count: 72,250 words
Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.
What is the word count of Data analysis using Microsoft Excel?
The estimated word count for Data analysis using Microsoft Excel is approximately 72,250 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.
This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.
Who is the author of Data analysis using Microsoft Excel?
Data analysis using Microsoft Excel was written by Michael R. Middleton.
When was Data analysis using Microsoft Excel published?
The publication date for this specific edition is 1997. The original work may have been published on a different date.