## Gallery of ploticus script examples

Version 2.32
Scripts

Manual page for Gallery_of_ploticus_script_examples(PL)

Search the ploticus web site: (Powered by FreeFind)

### View thumbnails of all script examples
See also the gallery of prefab examples

Click here to see examples | Real-world examples
Click here to see examples | Scaling and axes, the preliminaries to plotting data.
Click here to see examples | Line plots are used to show values that change from left to right. Often the change is over time along the X (horizontal) axis. Use proc lineplot.
Click here to see examples | Filled Line Plots ... Use proc lineplot with the fill option.
Click here to see examples | Range Sweeps may be used to depict ranges that change from left to right. Often the change is over time along the X (horizontal) axis. Use proc rangesweep.
Click here to see examples | Pie Graphs may be used to depict proportions that make up a whole, such as budget categories, or survey breakdowns. Use proc pie.
Click here to see examples | Bar Graphs (histograms) may be used to show comparisons, distributions, or category tabulations. They are also sometimes used to show values that change over time. Use proc bars.
Click here to see examples | Horizontal bars are useful for compactness or where time values are being compared. Use proc bars with the horizontalbars option.
Click here to see examples | Timelines are used to display events and durations with respect to time. The result may be in the form of a timetable, project progress chart, etc. Use proc bars with the horizontalbars and segmentfields attributes.
Click here to see examples | Bar proportions Use proc bars with the stackfields option. (A pie graph can also be used to show proportions.)
Click here to see examples | Scatter plots display data points in one or two dimensions. Every data point is plotted with a mark, symbol, or label. 2-D scatterplots are often used to show correlation (or lack thereof) between two variables. Use proc scatterplot.
Click here to see examples | Heat maps / density grids use color to indicate frequency in a two-dimensional distribution. These are created using proc scatterplot features.
Click here to see examples | Single variable distributions show the distribution of one variable. Lines, symbols, characters or text may be used to mark points. Use proc scatterplot.
Click here to see examples | Rangebars (box plots) compactly show the distribution and range of a set of values. The median (50th percentile) is shown by a dot, the box covers the interquartile range (25th through 75th percentiles), and the tails show the minima/maxima or the 5th and 95th percentiles. Use proc rangebar which can compute the medians, quartiles, etc. as well as render the bars.
Click here to see examples | Error bars show the amount of margin of error for a value. This usually is +/- the standard deviation. If the amount of error has been calculated in advance, use proc bars. If you want ploticus to compute the mean and standard deviation, use proc rangebar with the meanmode option.
Click here to see examples | Curve fitting involves generating a curve to see trends, averages, correlations, etc. proc curvefit can generate moving average, bspline, regression, and interpolation curves.
Click here to see examples | Vector plots can display 4 or 5 variables (x, y, direction, length, and perhaps color).
Click here to see example | Venn diagrams can be used to show relationships between sets. To create a Venn diagram invoke proc venndisk once for every disk in the diagram.
Click here to see examples | Legends are necessary when different symbols, colored bars, colored lines, etc. are used for comparison. Use the legendlabel attribute of each plotting proc, then use proc legend to render the legend.
Click here to see examples | Annotation may be used to denote specific points or regions on a plot that have some importance, or for any text placement. Use proc annotate.
Click here to see examples | Clickmap and mouseover support - Clickmaps (image maps) allow a browser user to click with the mouse on an object or region in a graph as a hyperlink to a new web page. Mouseover support allows a browser user to move the mouse over a data point or region and see a popup text label, in order to get additional information.

data display engine
Copyright Steve Grubb

Markup created by unroff 1.0, `` `` August 23, 2005.