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

Product type Paperback

Published in May 2022

Publisher Packt

ISBN-13 9781803247731

Length 324 pages

Edition 1st Edition

Languages

C++

Tools

Excel

Concepts

Data Analysis

Author (1):

Fernando Roque

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Table of Contents (19) Chapters

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

Chapter 5: Finding the Optimal Number of Single Variable Groups

In this chapter, we will learn that we have to preprocess data to find the optimal number of groups for the values. It is not an arbitrary number and is very difficult to determine with just a visual inspection of the data chart. We will work with just one variable in this chapter, and then, in the next chapter, we will use more than two variables to segment the data, which demands a more automatic process with K-means. In this chapter, we will also learn how to install and use the K-means Excel add-in included in this book and on GitHub. We have to use an R function for K-means in Excel because it is very difficult to do an automatic segmentation by hand in Excel.

The topics we will cover in this chapter are as follows:

Finding an optimal number of groups for one variable
Running the K-means function to get the centroids or group average
Finding the groups and centroids of one-variable data with K-means...

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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

Table of Contents (19) Chapters

Chapter 5: Finding the Optimal Number of Single Variable Groups

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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

Table of Contents (19) Chapters

Chapter 5: Finding the Optimal Number of Single Variable Groups

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