Difference between revisions of "BoxPlot Command"
From GeoGebra Manual
Kimeswenger (talk | contribs) |
m |
||
| Line 1: | Line 1: | ||
| − | <noinclude>{{Manual Page|version= | + | <noinclude>{{Manual Page|version=5.0}}</noinclude> |
{{command|chart}} | {{command|chart}} | ||
; BoxPlot[yOffset, yScale, List of Raw Data]: Creates a box plot using the given raw data and whose vertical position in the coordinate system is controlled by variable ''yOffset'' and whose height is influenced by factor ''yScale''. | ; BoxPlot[yOffset, yScale, List of Raw Data]: Creates a box plot using the given raw data and whose vertical position in the coordinate system is controlled by variable ''yOffset'' and whose height is influenced by factor ''yScale''. | ||
Revision as of 15:00, 20 July 2015
- BoxPlot[yOffset, yScale, List of Raw Data]
- Creates a box plot using the given raw data and whose vertical position in the coordinate system is controlled by variable yOffset and whose height is influenced by factor yScale.
- Example:
BoxPlot[0, 1, {2, 2, 3, 4, 5, 5, 6, 7, 7, 8, 8, 8, 9}]
- BoxPlot[yOffset, yScale, Start Value, Q1, Median, Q3, End Value]
- Creates a box plot for the given statistical data in interval [Start Value, End Value].
- BoxPlot[ <yOffset>, <yScale>, <List of Raw Data>, <Boolean Outliers> ]
- This allows outliers to be plotted as "X"s rather than included in the boxplot. For this command, outliers are data lying below Q1 - 1.5 * IQR or above Q3 + 1.5 * IQR.
- BoxPlot[ <yOffset>, <yScale>, <List of Data>, <List of Frequencies>, <Boolean Outliers> ]
- This allows data from a frequency table to be easily plotted as a boxplot.
