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2016
While it is tempting to proceed immediately to analysis and model-building, it is critically important to spend time to fully understand the dataset. Different types of data (nominal, ordinal, interval, and ratio) are suitable for only specific types of analysis.
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While it is tempting to proceed immediately to analysis and model-building, it is critically important to spend time to fully understand the dataset. Different types of data (nominal, ordinal, interval, and ratio) are suitable for only specific types of analysis.
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Data Types and Operators [PDF]
, 2001 In Part One of this book, we covered strategic issues relating to the.NET Framework—what it is and where it fits into both Microsoft’s world and yours. In Part Two, we covered key concepts—those language-related ideas that must be understood lest old habits lead one to seriously flawed architectural decisions.
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1993
Active knowledge of Maple data types is quite often needed even when using Maple interactively as a symbolic calculator. Recall the elementary data types polynom and ratpoly, and the simplification and manipulation of such expressions. This chapter will introduce you to composite data types like sequence, set, list, Array, (r)table, Record, and ...
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Active knowledge of Maple data types is quite often needed even when using Maple interactively as a symbolic calculator. Recall the elementary data types polynom and ratpoly, and the simplification and manipulation of such expressions. This chapter will introduce you to composite data types like sequence, set, list, Array, (r)table, Record, and ...
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2013
When you build LightSwitch extensions, you often need to use string identifiers to define data types. This table contains a list of valid identifiers that you can use.
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When you build LightSwitch extensions, you often need to use string identifiers to define data types. This table contains a list of valid identifiers that you can use.
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2019
Julia natively provides a fairly complete and hierarchically organized set of predefined types (especially the numerical ones). These are either scalar—like integers, floating-point numbers, and chars,—or container-like structures able to hold other objects—like multidimensional arrays, dictionaries, sets, etc.
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Julia natively provides a fairly complete and hierarchically organized set of predefined types (especially the numerical ones). These are either scalar—like integers, floating-point numbers, and chars,—or container-like structures able to hold other objects—like multidimensional arrays, dictionaries, sets, etc.
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1978
In both Algol and Fortran variables taking truth values can be declared, and Boolean or LOGICAL forms a different data type from the arithmetic data types. In PL/I the attribute concept means that there is really just one arithmetic data type, though any object of that data type will have certain attributes of scale, base and precision.
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In both Algol and Fortran variables taking truth values can be declared, and Boolean or LOGICAL forms a different data type from the arithmetic data types. In PL/I the attribute concept means that there is really just one arithmetic data type, though any object of that data type will have certain attributes of scale, base and precision.
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2016
In the production process physical inputs are consumed to produce physical outputs. All the data are therefore positive real numbers, and the conventional DEA models are based on this requirement. However, in many applications the inputs and outputs may not be physical factors, and thus the data are not necessarily positive real numbers.
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In the production process physical inputs are consumed to produce physical outputs. All the data are therefore positive real numbers, and the conventional DEA models are based on this requirement. However, in many applications the inputs and outputs may not be physical factors, and thus the data are not necessarily positive real numbers.
openaire +2 more sources