Category: Exploratory data analysis

Table diagonalization
Diagonalization is the process of re-ordering the rows and columns of tables and charts so that the data forms an approximately diagonal line. This makes it easier for people to see patterns in the da
Midhinge
In statistics, the midhinge is the average of the first and third quartiles and is thus a measure of location.Equivalently, it is the 25% trimmed mid-range or 25% midsummary; it is an L-estimator. The
Median polish
The median polish is a simple and robust exploratory data analysis procedure proposed by the statistician John Tukey. The purpose of median polish is to find an additively-fit model for data in a two-
Exploratory causal analysis
Causal analysis is the field of experimental design and statistics pertaining to establishing cause and effect. Exploratory causal analysis (ECA), also known as data causality or causal discovery is t
Trimean
In statistics the trimean (TM), or Tukey's trimean, is a measure of a probability distribution's location defined as a weighted average of the distribution's median and its two quartiles: This is equi
Stem-and-leaf display
A stem-and-leaf display or stem-and-leaf plot is a device for presenting quantitative data in a graphical format, similar to a histogram, to assist in visualizing the shape of a distribution. They evo
TinkerPlots
TinkerPlots is exploratory data analysis and modeling software designed for use by students in grades 4 through university. It was designed by Clifford Konold and Craig Miller at the University of Mas
Projection pursuit
Projection pursuit (PP) is a type of statistical technique which involves finding the most "interesting" possible projections in multidimensional data. Often, projections which deviate more from a nor
Grand Tour (data visualisation)
The Grand Tour is a technique developed by Daniel Asimov in 1985, which is used to explore multivariate statistical data by means of an animation. The animation, or "movie", consists of a series of di
Configural frequency analysis
Configural frequency analysis (CFA) is a method of exploratory data analysis, introduced by in 1969. The goal of a configural frequency analysis is to detect patterns in the data that occur significan
Data reduction
Data reduction is the transformation of numerical or alphabetical digital information derived empirically or experimentally into a corrected, ordered, and simplified form. The purpose of data reductio
Exploratory data analysis
In statistics, exploratory data analysis (EDA) is an approach of analyzing data sets to summarize their main characteristics, often using statistical graphics and other data visualization methods. A s
Univariate analysis
Univariate analysis is perhaps the simplest form of statistical analysis. Like other forms of statistics, it can be inferential or descriptive. The key fact is that only one variable is involved. Univ
John Tukey
John Wilder Tukey (/ˈtuːki/; June 16, 1915 – July 26, 2000) was an American mathematician and statistician, best known for the development of the fast Fourier Transform (FFT) algorithm and box plot. T