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Data and information visualization (data viz/vis or info viz/vis) [2] is the practice of designing and creating easy-to-communicate and easy-to-understand graphic or visual representations of a large amount [3] of complex quantitative and qualitative data and information with the help of static, dynamic or interactive visual items.
Design structure matrix is a simple, compact and visual representation of a system or project in the form of a matrix. It is the equivalent of an adjacency matrix in graph theory, and is used in project management to model the structure of complex systems or processes, in order to perform system analysis, project planning and organization design.
Gantt chart software typically provides mechanisms to link task dependencies, although this data may or may not be visually represented. [4] Gantt charts and network diagrams are often used for the same project, both being generated from the same data by a software application.
A chart (sometimes known as a graph) is a graphical representation for data visualization, in which "the data is represented by symbols, such as bars in a bar chart, lines in a line chart, or slices in a pie chart". [1] A chart can represent tabular numeric data, functions or some kinds of quality structure and provides different info.
A sample DSM with 7 elements and 11 dependency marks. The design structure matrix (DSM; also referred to as dependency structure matrix, dependency structure method, dependency source matrix, problem solving matrix (PSM), incidence matrix, N 2 matrix, interaction matrix, dependency map or design precedence matrix) is a simple, compact and visual representation of a system or project in the ...
Physical data model options. [1] A physical data model (or database design) is a representation of a data design as implemented, or intended to be implemented, in a database management system. In the lifecycle of a project it typically derives from a logical data model, though it may be reverse-engineered from a given database implementation.
The project/iteration timeline Y axis The work that needs to be completed for the project. The time or story point estimates for the work remaining will be represented by this axis. [3] Project start point This is the farthest point to the left of the chart and occurs at day 0 of the project/iteration. Project end point
For each data flow, at least one of the endpoints (source and / or destination) must exist in a process. The refined representation of a process can be done in another data-flow diagram, which subdivides this process into sub-processes. The data-flow diagram is a tool that is part of structured analysis and data modeling.