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