April 2019
Beginner to intermediate
880 pages
27h 3m
English
Content preview from Microsoft Excel 2019 Data Analysis and Business Modeling, 6th Edition
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Chapter 67 Forecasting in the presence of special events
Questions answered in this chapter:
How can I determine whether specific factors influence customer traffic?
How can I evaluate my forecast accuracy?
How can I check whether my forecast errors are random?
For a student project in the early 1990s (before direct deposit!), a class and I attempted to forecast the number of customers visiting the Eastland Plaza Branch of the Indiana University (IU) Credit Union each day. Interviews with the branch manager made it clear that the following factors affected the number of customers:
Month of the year
Day of the week
Whether the day was a faculty or staff payday
Whether the day before or the day after was a holiday
Answers to this chapter’s ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.