What is Dimension

A set of values (members) organized in a hierarchy of levels.

A business perspective useful for analyzing data. A dimension usually contains one or more hierarchies that can be used to drill up or down to different levels of detail

The eMM supplements the CMM concept of maturity levels, which describe the evolution of the organisation as a whole, with dimensions. The five dimensions of the eMM are: (1) Delivery; (2)Planning; (3)Definition; (4) Management; (5) Optimisation. The key idea underlying the dimension concept is holistic capability. Rather than the eMM measuring progressive levels, it describes the capability of a process from these five synergistic perspectives. An organization that has developed capability on all dimensions for all processes will be more capable than one that has not. Capability at the higher dimensions that is not supported by capability at the lower dimensions will not deliver the desired outcomes; capability at the lower dimensions that is not supported by capability in the higher dimensions will be ad-hoc, unsustainable and unresponsive to changing organizational and learner needs.

A scale to decide the spread or range of the neighborhood of CA grid.

It is a property of data used to classify them and navigate the corresponding data cube. In data warehouses, dimensions are often organized into several hierarchical levels, for example, a time dimension can be organized into days, months, and years.

There is some ambiguity in the usage of this word as it may either be used to refer to the number of modes of an array e.g., a matrix being referred to as containing 2-dimensional data; or the number of indices in a specific mode, e.g., a vector with AU252: Mathtype 351 elements may be referred to as -dimensional vector. In this chapter, its usage refers to the latter case.

A named link between this concept and some of its direct superconcepts. It is analogous to a column. The superconcept in this case is referred to as a domain of this dimension.

An empirically established and verifiable continuum that together with other dimensions defines a model.

An attribute or a perspective to describe measures.

It this article, it is used as a countable noun. Thus, it means a measurement of something in one direction.

It this article, it is used as a countable noun. Thus, it means a measurement of something in one direction.

Dimensions include specific skills, process areas, and other design objects to structure an area of interest. Dimensions should be complete and well distinguishable. They are specified either by means of evaluation elements/measurement criteria (practices, objects, or activities) or qualitative descriptions.

It this article, it is used as a countable noun. Thus, it means a measurement of something in one direction

Size as measured in a particular direction such as height, width, or depth.

The levels in the presented typology that signify the various aspect of service-learning field experiences, typically shaped around some kind of qualifier.

Perspective from which understand reality, shaped by professional and personal experiences.

It this article, it is used as a countable noun. Thus, it means a measurement of something in one direction.

Specifies how many numbers (coordinates) are needed to determine a position of a point in space. For example, in Cartesian space three coordinates x, y, and z tell about position of a point. A point has no length, area, volume or any other dimensional attributes, so many mathematicians claim a point is 0-dimensional. However, in the Euclidian three-dimensional space, three numbers describe a point: x-horizontal axis, y-vertical axis, and z-depth. A line has one dimension because only one coordinate is needed to describe a point on it, while a surface has two dimensions. Data may be linear or multidimensional. Ben Shneiderman (1996) AU74: The in-text citation "Ben Shneiderman (1996)" is not in the reference list. Please correct the citation, add the reference to the list, or delete the citation. described seven data types: one-, two-, three-dimensional data, temporal and multi-dimensional data, and also tree and network data. They may be flat, tridimensional, time-based, or virtual.