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Line chart showing the population of the town of Pushkin, Saint Petersburg from 1800 to 2010, measured at various intervals. A line chart or line graph, also known as curve chart, [1] is a type of chart that displays information as a series of data points called 'markers' connected by straight line segments. [2]
This graph draws one or more independent numeric data series as lines. The data must be stored on Commons' Data namespace or come from Wikidata Query Service. Template parameters Parameter Description Type Status Table type tabletype Specifies the type of the table data. "tab" (default) uses data namespace on commons, without the data: prefix. "query" sends request to wikidata query service ...
Line chart: Line chart: x position; y position; symbol/glyph; color; size; Represents information as a series of data points called 'markers' connected by straight line segments. Similar to a scatter plot except that the measurement points are ordered (typically by their x-axis value) and joined with straight line segments.
Livegap Charts creates line, bar, spider, polar-area and pie charts, and can export them as images without needing to download any tools. Veusz is a free scientific graphing tool that can produce 2D and 3D plots. Users can use it as a module in Python. GeoGebra is open-source graphing calculator and is freely available for non-commercial users.
linewidth: line width for line charts or distance between the pie segments for pie charts. Setting to 0 with type=line creates a scatter plot. linewidths: different line widths may be defined for each series of data with csv, if set to 0 with "showSymbols" results with points graph, eg.: linewidths=1, 0, 5, 0.2
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.
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The data are plotted against a theoretical normal distribution in such a way that the points should form an approximate straight line. Departures from this straight line indicate departures from normality. The normal probability plot is a special case of the probability plot.