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A pivot table is a table of values which are aggregations of groups of individual values from a more extensive table (such as from a database, spreadsheet, or business intelligence program) within one or more discrete categories. The aggregations or summaries of the groups of the individual terms might include sums, averages, counts, or other ...
[2] This standard is used in several national identification numbers . For example, the first digit of the French INSEE number and the first digit of the Republic of China National Identification Card (Chinese: 中華民國國民身分證 ) are based on ISO/IEC 5218 values.
Countries by Gender Inequality Index (Data from 2019, published in 2020). Red denotes more gender inequality, and green more equality. [1]The Gender Inequality Index (GII) is an index for the measurement of gender disparity that was introduced in the 2010 Human Development Report 20th anniversary edition by the United Nations Development Programme (UNDP).
In SGML, HTML and XML documents, the logical constructs known as character data and attribute values consist of sequences of characters, in which each character can manifest directly (representing itself), or can be represented by a series of characters called a character reference, of which there are two types: a numeric character reference and a character entity reference.
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. [example needed]
Examples of values that might be represented in a categorical variable: Demographic information of a population: gender, disease status. The blood type of a person: A, B, AB or O. The political party that a voter might vote for, e. g. Green Party, Christian Democrat, Social Democrat, etc. The type of a rock: igneous, sedimentary or metamorphic.
The variables available in the data collected for this task are: the tip amount, total bill, payer gender, smoking/non-smoking section, time of day, day of the week, and size of the party. The primary analysis task is approached by fitting a regression model where the tip rate is the response variable. The fitted model is
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