Explore: Data Correlation

statistics, correlation or dependence is any statistical relationship, whether causal or not, between two random variables or bivariate data. Although in

statistics, the Pearson correlation coefficient (PCC) is a correlation coefficient that measures linear correlation between two sets of data. It is the ratio

Spearman's correlation assesses monotonic relationships (whether linear or not). If there are no repeated data values, a perfect Spearman correlation of +1

see Correlation does not imply causation). There are several different measures for the degree of correlation in data, depending on the kind of data: principally

correlation (Pearson correlation). Consider a data set consisting of N paired data values (xn,1, xn,2), for n = 1, ..., N. The intraclass correlation

Autocorrelation, sometimes known as serial correlation in the discrete time case, measures the correlation of a signal with a delayed copy of itself.

The phrase "correlation does not imply causation" refers to the inability to legitimately deduce a cause-and-effect relationship between two events or

asp Pierce, Rod. (4 Jan 2013). "Correlation". Math Is Fun. Retrieved 7 Aug 2013 from http://www.mathsisfun.com/data/correlation.html

Phase correlation is an approach to estimate the relative translative offset between two similar images (digital image correlation) or other data sets

the most relevant characteristic of this new data ecosystem." Analysis of data sets can find new correlations to "spot business trends, prevent diseases