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The following bar chart is generated, live, using a timeline-tag structure which contains population numbers for each year in the bar chart (markup shown further below). The above bar chart , showing population bars for each year, can be generated by using the markup text listed below.
The bars can be plotted vertically or horizontally. A vertical bar chart is sometimes called a column chart and has been identified as the prototype of charts. [1] A bar graph shows comparisons among discrete categories. One axis of the chart shows the specific categories being compared, and the other axis represents a measured value.
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
This template creates a vertical bar chart for a set of data of your choosing, for example, charting population demographics of a location. Up to twenty graphical bars can be used along with specified colors. The graph's width is set by default, but can be changed, as well as the large and small scales.
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A two-dimensional graph may refer to The graph of a function of one variable; A planar graph; A diagram in a plane This page was last edited on 3 ...
Graphic representation of a minute fraction of the WWW, demonstrating hyperlinks.. Graph drawing is an area of mathematics and computer science combining methods from geometric graph theory and information visualization to derive two-dimensional depictions of graphs arising from applications such as social network analysis, cartography, linguistics, and bioinformatics.