ACMS10145 Lecture Notes - Lecture 1: Level Of Measurement, Categorical Variable, Data Mining

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Categorical data: labels or names used to identify an attribute of each element. Categorical data use either the nominal or ordinal scale of measurement and may be nonnumeric or numeric. Census: a survey to collect data on the entire population. Cross-sectional data: data collected at the same or approximately the same point in time. Data mining: the process of using procedures from statistics and computer science to extract useful information from extremely large databases. Data set: all the data collected in a particular study. Data: the facts and figures collected, analyzed, and summarized for presentation and interpretation. Descriptive statistics: tabular, graphical, and numerical summaries of data. Element: the entities on which data are collected. Interval scale: the scale of measurement for a variable if the data demonstrate the properties of ordinal data and the interval between values is expressed in terms of a fixed unit of measure.