1.
Exploratory Data Analysis
1.3.
EDA Techniques
1.3.4.
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Graphical Techniques: By Problem Category
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Univariate
y = c + e
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Run Sequence Plot: 1.3.3.25
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Lag Plot: 1.3.3.15
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Histogram: 1.3.3.14
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Normal Probability Plot: 1.3.3.21
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4-Plot: 1.3.3.32
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PPCC Plot: 1.3.3.23
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Weibull Plot: 1.3.3.30
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Probability Plot: 1.3.3.22
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Box-Cox Linearity Plot: 1.3.3.5
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Box-Cox Normality Plot: 1.3.3.6
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Bootstrap Plot: 1.3.3.4
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Time Series
y = f(t) + e
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Run Sequence Plot: 1.3.3.25
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Spectral Plot: 1.3.3.27
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Autocorrelation Plot: 1.3.3.1
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Complex Demodulation Amplitude Plot: 1.3.3.8
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Complex Demodulation Phase Plot: 1.3.3.9
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1 Factor
y = f(x) + e
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Scatter Plot: 1.3.3.26
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Box Plot: 1.3.3.7
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Bihistogram: 1.3.3.2
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Quantile-Quantile Plot: 1.3.3.24
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Mean Plot: 1.3.3.20
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Standard Deviation Plot: 1.3.3.28
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Multi-Factor/Comparative
y = f(xp, x1,x2,...,xk) + e
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Block Plot: 1.3.3.3
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Multi-Factor/Screening
y = f(x1,x2,x3,...,xk) + e
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DOE Scatter Plot: 1.3.3.11
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DOE Mean Plot: 1.3.3.12
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DOE Standard Deviation Plot: 1.3.3.13
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Contour Plot: 1.3.3.10
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Regression
y = f(x1,x2,x3,...,xk) + e
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Scatter Plot: 1.3.3.26
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6-Plot: 1.3.3.33
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Linear Correlation Plot: 1.3.3.16
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Linear Intercept Plot: 1.3.3.17
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Linear Slope Plot: 1.3.3.18
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Linear Residual Standard Deviation Plot:1.3.3.19
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Interlab
(y1,y2) = f(x) + e
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Youden Plot: 1.3.3.31
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Multivariate
(y1,y2,...,yp)
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Star Plot: 1.3.3.29
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