Run chart

Graph that displays observed data in a time sequencer
A simple run chart showing data collected over time. The median of the observed data (73) is also shown on the chart.

A run chart, also known as a run-sequence plot is a graph that displays observed data in a time sequence. Often, the data displayed represent some aspect of the output or performance of a manufacturing or other business process. It is therefore a form of line chart.

Overview

Run sequence plots[1] are an easy way to graphically summarize a univariate data set. A common assumption of univariate data sets is that they behave like:[2]

  • random drawings;
  • from a fixed distribution;
  • with a common location; and
  • with a common scale.

With run sequence plots, shifts in location and scale are typically quite evident. Also, outliers can easily be detected.

Run chart of eight random walks in one dimension starting at 0. The plot shows the current position on the line (vertical axis) versus the time steps (horizontal axis).

Examples could include measurements of the fill level of bottles filled at a bottling plant or the water temperature of a dish-washing machine each time it is run. Time is generally represented on the horizontal (x) axis and the property under observation on the vertical (y) axis. Often, some measure of central tendency (mean or median) of the data is indicated by a horizontal reference line.

Run charts are analyzed to find anomalies in data that suggest shifts in a process over time or special factors that may be influencing the variability of a process. Typical factors considered include unusually long "runs" of data points above or below the average line, the total number of such runs in the data set, and unusually long series of consecutive increases or decreases.[1]

Run charts are similar in some regards to the control charts used in statistical process control, but do not show the control limits of the process. They are therefore simpler to produce, but do not allow for the full range of analytic techniques supported by control charts.

References

Public Domain This article incorporates public domain material from the National Institute of Standards and Technology

  1. ^ a b Chambers, John; William Cleveland; Beat Kleiner; Paul Tukey (1983). Graphical Methods for Data Analysis. Duxbury. ISBN 0-534-98052-X.[page needed]
  2. ^ NIST/SEMATECH (2003). "Run-Sequence Plot" In: e-Handbook of Statistical Methods 6/01/2003 (Date created).

Further reading

  • Pyzdek, Thomas (2003). Quality Engineering Handbook (Second ed.). New York: CRC. ISBN 0-8247-4614-7.

External links

Wikimedia Commons has media related to Run charts.
  • Run-Sequence Plot
  • v
  • t
  • e
Statistics
Descriptive statistics
Continuous data
Center
Dispersion
Shape
Count data
Summary tables
Dependence
Graphics
Study design
Survey methodology
Controlled experiments
Adaptive designs
Observational studies
Statistical theory
Frequentist inference
Point estimation
Interval estimation
Testing hypotheses
Parametric tests
Specific tests
  • Z-test (normal)
  • Student's t-test
  • F-test
Goodness of fit
Rank statistics
Bayesian inference
Correlation
Regression analysis
Linear regression
Non-standard predictors
Generalized linear model
Partition of variance
Categorical
Multivariate
Time-series
General
Specific tests
Time domain
Frequency domain
Survival
Survival function
Hazard function
Test
Biostatistics
Engineering statistics
Social statistics
Spatial statistics
  • Category
  • icon Mathematics portal
  • Commons
  • WikiProject