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  2. Rug plot - Wikipedia

    en.wikipedia.org/wiki/Rug_plot

    A rug plot of 100 data points appears in blue along the x-axis. (The points are sampled from the normal distribution shown in gray. The other curves show various kernel density estimates of the data.) A rug plot is a plot of data for a single quantitative variable, displayed as marks along an axis. It is used to visualise the distribution of ...

  3. Marker-and-cell method - Wikipedia

    en.wikipedia.org/wiki/Marker-and-Cell_method

    The marker-and-cell method is commonly used in computer graphics to discretize functions for fluid and other simulations. [1] It was developed by Francis Harlow and his collaborators at the Los Alamos National Laboratory .

  4. Watershed (image processing) - Wikipedia

    en.wikipedia.org/wiki/Watershed_(image_processing)

    Local minima of the gradient of the image may be chosen as markers, in this case an over-segmentation is produced and a second step involves region merging. Marker based watershed transformation make use of specific marker positions which have been either explicitly defined by the user or determined automatically with morphological operators or ...

  5. Cobweb plot - Wikipedia

    en.wikipedia.org/wiki/Cobweb_plot

    For a given iterated function :, the plot consists of a diagonal (=) line and a curve representing = ().To plot the behaviour of a value , apply the following steps.. Find the point on the function curve with an x-coordinate of .

  6. Violin plot - Wikipedia

    en.wikipedia.org/wiki/Violin_plot

    Violin plots are similar to box plots, except that they also show the probability density of the data at different values, usually smoothed by a kernel density estimator.A violin plot will include all the data that is in a box plot: a marker for the median of the data; a box or marker indicating the interquartile range; and possibly all sample points, if the number of samples is not too high.

  7. Biplot - Wikipedia

    en.wikipedia.org/wiki/Biplot

    The first scatterplot is formed from the points (d 1 α u 1i, d 2 α u 2i), for i = 1,...,n. The second plot is formed from the points (d 1 1−α v 1j, d 2 1−α v 2j), for j = 1,...,p. This is the biplot formed by the dominant two terms of the SVD, which can then be represented in a two-dimensional display.

  8. Parity plot - Wikipedia

    en.wikipedia.org/wiki/Parity_plot

    A parity plot is a scatterplot that compares a set of results from a computational model against benchmark data. Each point has coordinates (x, y), where x is a benchmark value and y is the corresponding value from the model. [1] A line of the equation y = x, representing perfect model performance, is sometimes added as a reference. Where the ...

  9. Point plotting - Wikipedia

    en.wikipedia.org/wiki/Point_plotting

    Using point plotting, one associates an ordered pair of real numbers (x, y) with a point in the plane in a one-to-one manner. As a result, one obtains the 2-dimensional Cartesian coordinate system . To be able to plot points, one needs to first decide on a point in plane which will be called the origin , and a couple of perpendicular lines ...