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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.
Module:Chart creates bar and pie charts on Wikipedia without need for external tools; Many spreadsheet, drawing, and desktop publishing programs allow you to create graphs and export them as images. gnuplot can produce a wide variety of charts and graphs; see samples with source code at Commons. In Python using matplotlib
The graphs can be used together to determine the economic equilibrium (essentially, to solve an equation). Simple graph used for reading values: the bell-shaped normal or Gaussian probability distribution, from which, for example, the probability of a man's height being in a specified range can be derived, given data for the adult male population.
Graph made using Microsoft Excel. Many spreadsheet applications permit charts and graphs (e.g., histograms, pie charts) to be generated from specified groups of cells that are dynamically re-built as cell contents change. The generated graphic component can either be embedded within the current sheet or added as a separate object.
Point and figure (P&F) is a charting technique used in technical analysis.Point and figure charting does not plot price against time as time-based charts do. Instead it plots price against changes in direction by plotting a column of Xs as the price rises and a column of Os as the price falls.
Two T-colorings of a graph for T = {0, 1, 4}. In graph theory, a T-Coloring of a graph = (,), given the set T of nonnegative integers containing 0, is a function : that maps each vertex to a positive integer such that if u and w are adjacent then | () |. [1]