Editing Exploratory data analysis (section)

== Techniques and tools ==
There are a number of tools that are useful for EDA, but EDA is characterized more by the attitude taken than by particular techniques.<ref>{{cite journal |title=We need both exploratory and confirmatory |first=John W. |last=Tukey |journal=The American Statistician |volume=34 |issue=1 |year=1980 |pages=23–25 |doi=10.1080/00031305.1980.10482706 }}</ref>

Typical [[Statistical graphics|graphical techniques]] used in EDA are:

*[[Box plot]]
*[[Histogram]]
*[[Multi-vari chart]]
*[[Run chart]]
*[[Pareto chart]]
*[[Scatter plot]] (2D/3D)
*[[stemplot|Stem-and-leaf plot]]
*[[Parallel coordinates]]
*[[Odds ratio]]
*[[Targeted projection pursuit]]
*[[Heat map]]
*[[Bar chart]]
*Horizon graph
*Glyph-based visualization methods such as PhenoPlot<ref>{{Cite journal|last1=Sailem|first1=Heba Z.|last2=Sero|first2=Julia E.|last3=Bakal|first3=Chris|date=2015-01-08|title=Visualizing cellular imaging data using PhenoPlot|journal=Nature Communications|language=En|volume=6|issue=1|pages=5825|doi=10.1038/ncomms6825|pmid=25569359|pmc=4354266|bibcode=2015NatCo...6.5825S|issn=2041-1723}}</ref> and [[Chernoff face]]s
* Projection methods such as grand tour, guided tour and manual tour
* Interactive versions of these plots

[[Dimensionality reduction]]:
*[[Multidimensional scaling]]
*[[Principal component analysis]] (PCA)
*[[Multilinear principal component analysis|Multilinear PCA]]
*[[Nonlinear dimensionality reduction]] (NLDR)
*[[Iconography of correlations]]

Typical [[quantity|quantitative]] techniques are:

*[[Median polish]]
*[[Trimean]]
*[[Ordination (statistics)|Ordination]]