A control chart represents how a system behaves over time. It is a graph that plots one or more variables of a system or process over time. This information can be used for quality control in manufacturing and business process. When only one variable is plotted against time, it is called a univariate control chart, and when more than one variable is plotted against time, it is called a multivariate control chart.
In this chapter, we will be working with a synthetic control chart time series data provided by the UCI Machine Learning Repository. Each of the control chart belongs to one of the following categories:
Normal
Cyclic
Increasing trend
Decreasing trend
Upward shift
Downward shift
Each of the control charts consists of 60 columns, each a decimal value. There are 100 records for each category. Further details about the dataset can be found at http://archive.ics.uci.edu/ml/databases/synthetic_control/synthetic_control.data.html.
We will be using...