About the Book
Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Pages: 73. Chapters: Lorenz curve, Venn diagram, Histogram, Outlier, Timeline, Box plot, Pie chart, Control chart, Moving average, Population pyramid, Q-Q plot, William Playfair, Spaghetti plot, Shewhart individuals control chart, Radar chart, Treemapping, V-optimal histograms, Arnaud Legoux Moving Average, Western Electric rules, Choropleth map, P-chart, Fan chart, Correlogram, Xbar and s chart, Probability plot correlation coefficient plot, Scatter plot, Chernoff face, Biplot, Dot plot, Statistical graphics, Xbar and R chart, Stemplot, CUSUM, EWMA chart, Anscombe's quartet, Nelson rules, Normal probability plot, Partial regression plot, Funnel plot, P-P plot, Multi-vari chart, Forest plot, Cartogram, Line chart, Sequence logo, Pareto chart, Bland-Altman plot, DataScene, Rankit, Carpet plot, List of graphical methods, Partial residual plot, Semi-log plot, Sampling variogram, Volcano plot, Smoothing, Run chart, Pareto analysis, C-chart, U-chart, Circular distribution, Seasonal subseries plot, Np-chart, Bar chart, Freedman-Diaconis rule, Self-similarity matrix, Violin plot, Control limits, Rank abundance curve, Levey-Jennings chart, Double mass analysis, Log-log plot, Galbraith plot, Scatterplot smoothing, Dendrogram, Barber-Johnson diagram, Spatial distribution, Regression control chart, Lexis diagram, Manhattan plot, Identity line, Doughnut chart, X-bar chart, Area chart, Composite bar chart. Excerpt: Control charts, also known as Shewhart charts or process-behaviour charts, in statistical process control are tools used to determine whether or not a manufacturing or business process is in a state of statistical control. If analysis of the control chart indicates that the process is currently under control (i.e. is stable, with variation only coming from sources common to the process) then data from the process can be used to predict th...
