1. Exploratory Data Analysis
1.3. EDA Techniques

## 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
DOE Scatter Plot: 1.3.3.11
DOE Mean Plot: 1.3.3.12
DOE 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