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Data Forecasting and Segmentation Using Microsoft Excel

You're reading from   Data Forecasting and Segmentation Using Microsoft Excel Perform data grouping, linear predictions, and time series machine learning statistics without using code

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Product type Paperback
Published in May 2022
Publisher Packt
ISBN-13 9781803247731
Length 324 pages
Edition 1st Edition
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Author (1):
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Fernando Roque Fernando Roque
Author Profile Icon Fernando Roque
Fernando Roque
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Table of Contents (19) Chapters Close

Preface 1. Part 1 – An Introduction to Machine Learning Functions
2. Chapter 1: Understanding Data Segmentation FREE CHAPTER 3. Chapter 2: Applying Linear Regression 4. Chapter 3: What is Time Series? 5. Part 2 – Grouping Data to Find Segments and Outliers
6. Chapter 4: Introduction to Data Grouping 7. Chapter 5: Finding the Optimal Number of Single Variable Groups 8. Chapter 6: Finding the Optimal Number of Multi-Variable Groups 9. Chapter 7: Analyzing Outliers for Data Anomalies 10. Part 3 – Simple and Multiple Linear Regression Analysis
11. Chapter 8: Finding the Relationship between Variables 12. Chapter 9: Building, Training, and Validating a Linear Model 13. Chapter 10: Building, Training, and Validating a Multiple Regression Model 14. Part 4 – Predicting Values with Time Series
15. Chapter 11: Testing Data for Time Series Compliance 16. Chapter 12: Working with Time Series Using the Centered Moving Average and a Trending Component 17. Chapter 13: Training, Validating, and Running the Model 18. Other Books You May Enjoy

Using the Elbow and K-means functions with four variables

Now, we are going to add a fourth variable, the shipping cost, to the analysis. With this information, we will explore the influence of the logistics demanding infrastructure on the profits of the company. Remember that we pursue to get more revenue without investing more in fixed costs such as delivery operations. We will apply our knowledge of the Elbow and K-means functions to get the optimal number of groups, and then get the segmentation with K-means. See Figure 6.24 where the elbow function returns the number of groups. There is no chance to plot a chart of four variables, so we will have to trust in our expertise and judgment to interpret the groups that K-means will return.

Figure 6.24 – Elbow chart for four variables

In Figure 6.24, we can see that the optimal number of groups for the four variables (revenue, month, quantity, and shipping costs) is eight because this is when the curve...

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