You can change the appearance of the box plot with the Symbol properties tabs.The default value of the whisker length is 1.5, which means that values beyond 1.5 times the length of the box (interquartile range, or where the middle 50% of the data values lie) are determined to be outliers. Compute answers using Wolfram's breakthrough technology & knowledgebase, relied on by millions of students & professionals. Use the Whisker length control if you want to change the standard threshold beyond which data values are considered outliers.You can change the color of the markers on the graph with the Color control.To show the data values in the graph, check the Show labels (marks) check box.You can add a legend to the graph by checking the Add to legend check box. By default, the box plot does not have a legend.The wizard shows the initial version of the graph. Click the Value field drop-down arrow and choose the field of values to graph.Click the Layer/Table drop-down arrow and choose the layer or table containing the data values that are to be graphed.Click the Graph type drop-down arrow and choose the Box Plot type.Click the Tools menu, point to Graphs, then click Create Graph.The steps below describe how to create a box plot of one series, but normally you would use this graph type to compare several series. To see selections on the outlier symbols, change the style to one of the shape options (triangle, down triangle, diamond, left triangle, right triangle).īy default, the star line symbol is used for the extreme outlier, so if you want to see the selection represented, change the style. Since line symbols do not use a fill color, they will not show the selection. Selections are represented by the fill color. This type of box plot is very efficient in comparing center and spread of two or more datasets, since you can immediately visualize the ranges, medians, and "shapes" of each dataset. When you want to compare two or more sets of data, you make side-by-side box plots. They are often used to compare the variability of several series from either the same dataset or several different datasets. Box plots provide a quick visual summary that easily shows center, spread, range, and any outliers. Drag the slider at the bottom right to change. The information about how r changes with can then be used to sketch the graph of the equation in the cartesian plane. This will give a way to visualize how r changes with. A box plot summarizes the variability of data values in a series into five numbers-the median, the upper and lower quartiles, and the minimum and maximum values. To sketch a polar curve, first step is to sketch the graph of rf () as if they are x,y variables. Box plots are useful for very large (sorted) datasets that are not suitable to other graph types such as line graphs.
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