Category:Exploratory Data Analysis

This category contains results about Exploratory Data Analysis.
Definitions specific to this category can be found in Definitions/Exploratory Data Analysis.

Exploratory data analysis is the process of performing preliminary examination of raw data in order to gain insight into their general structure and characteristics, and often identify outliers.

Tools used in this activity include:

• box-and-whisker diagrams
• Five-number summaries
• Histograms

For multivariate data or particularly large data sets, kernel density estimation methods can be used.

Having performed an exploratory data analysis, the data engineer may be better placed to make a decision as to what formal statistical methods may then be appropriate.