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|Table of Contents Introduction What is Data Analysis|
|See also: introduction to Teach/Me|
statistics + visualization + know-how
Statistics and statistical methodology as the basis of data analysis are concerned with two basic types of problems
(1) summarizing, describing, and exploring the data
(2) using sampled data to infer the nature of the process which produced the data
The first type of problems is covered by descriptive statistics, the second part is covered by inferential statistics.
Another important aspect of data analysis is the data, which can be of two different types: qualitative data, and quantitative data. Qualitative data does not contain quantitative information. Qualitative data can be classified into categories. In contrast, quantitative data represent an amount of something.
A third distinction can be made according to the number of variables
involved in the data analysis. If only one variable is used, the statistical
procedures are summarized as univariate
statistics. More than one variable result in multivariate
statistics. A special case of multivariate statistics with only
two variables is sometimes called bivariate
Last Update: 2006-Jšn-18