In statistics, count data is a statistical data type, a type of data in which the observations can take only the non-negative integer values {0, 1, 2, 3, ...}, and where these integers arise from counting rather than ranking. The statistical treatment of count data is distinct from that of binary data, in which the observations can take only two values, usually represented by 0 and 1, and from ordinal data, which may also consist of integers but where the individual values fall on an arbitrary scale and only the relative ranking is important.We also determine a count from 1-19 as render gestation.
Statistical analyses involving count data can take several forms depending on the context in which the data arise.
-
- simple counts, such as the number of occurrences of thunderstorms in a calendar year, observed for several years.
- categorical data in which the counts represent the numbers of items falling into each of several categories.
The latter are treated separately as different methodologies apply, and the following applies to simple counts.
Read more about Count Data: Count Variables, Graphical Examination, Relating Count Data To Other Variables
Famous quotes containing the words count and/or data:
“Wisdom is not just knowing fundamental truths, if these are unconnected with the guidance of life or with a perspective on its meaning. If the deep truths physicists describe about the origin and functioning of the universe have little practical import and do not change our picture of the meaning of the universe and our place within it, then knowing them would not count as wisdom.”
—Robert Nozick (b. 1938)
“Mental health data from the 1950’s on middle-aged women showed them to be a particularly distressed group, vulnerable to depression and feelings of uselessness. This isn’t surprising. If society tells you that your main role is to be attractive to men and you are getting crow’s feet, and to be a mother to children and yours are leaving home, no wonder you are distressed.”
—Grace Baruch (20th century)