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  2. Matplotlib - Wikipedia

    en.wikipedia.org/wiki/Matplotlib

    Matplotlib (portmanteau of MATLAB, plot, and library [3]) is a plotting library for the Python programming language and its numerical mathematics extension NumPy.It provides an object-oriented API for embedding plots into applications using general-purpose GUI toolkits like Tkinter, wxPython, Qt, or GTK.

  3. Microsoft Automatic Graph Layout - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Automatic_Graph...

    Microsoft.MSAGL.dll, a device-independent graph layout engine; Microsoft.MSAGL.Drawing.dll, a device-independent implementation of graphs as graphical user interface objects, with all kinds of graphical attributes, and support for interface events such as mouse actions; Microsoft.MSAGL.GraphViewerGDI.dll, a Windows.Forms-based graph viewer control.

  4. Mosaic plot - Wikipedia

    en.wikipedia.org/wiki/Mosaic_plot

    A mosaic plot, Marimekko chart, Mekko chart, or sometimes percent stacked bar plot, is a graphical visualization of data from two or more qualitative variables. [1] It is the multidimensional extension of spineplots, which graphically display the same information for only one variable. [ 2 ]

  5. Scatter plot - Wikipedia

    en.wikipedia.org/wiki/Scatter_plot

    A scatter plot, also called a scatterplot, scatter graph, scatter chart, scattergram, or scatter diagram, [2] is a type of plot or mathematical diagram using Cartesian coordinates to display values for typically two variables for a set of data. If the points are coded (color/shape/size), one additional variable can be displayed.

  6. SigmaPlot - Wikipedia

    en.wikipedia.org/wiki/SigmaPlot

    SigmaPlot is a proprietary software package for scientific graphing and data analysis.It runs on Microsoft Windows. [1]The software can read multiple formats, such as Microsoft Excel spreadsheets, and can also perform mathematical transforms and statistical analyses.

  7. PSI-Plot - Wikipedia

    en.wikipedia.org/wiki/PSI-Plot

    PSI-Plot provides various 2D and 3D plot types and allows users to customize the graphics in great detail for visual presentations and for submission to research journals for publication. Users have full control of plot and label attributes, including background color, color gradients, size, and thickness.

  8. Dot plot (statistics) - Wikipedia

    en.wikipedia.org/wiki/Dot_plot_(statistics)

    The algorithm for computing a dot plot is closely related to kernel density estimation. The size chosen for the dots affects the appearance of the plot. Choice of dot size is equivalent to choosing the bandwidth for a kernel density estimate. In the R programming language this type of plot is also referred to as a stripchart [3] or stripplot. [4]