PlotReopensByPriority: Plot hours to resolution time by priority

In stevenranney/ispiranteRanney: Functions to analyze Ispirante data

Description

This function plots the number of reopens and produces a box

plot of those values as a function of priority level.

Usage

PlotReopensByPriority(dF)

Arguments

dF	The dataFrame for which to plot resolution time by priority level.

Details

This functions converts values that are nan.0 to NA.

Priority levels in some of the sample data are represented by five

different values: High, Low, Normal, Urgent,

and -. Review of the sample data showed that the - priority

level could not be determined to match any other level.

Boxes in the plot that is produced from this function can help

managers understand the number of reopens by priority level. If the

notches in a box overlap the heavy bar (i.e., the median number of reopens)

in an adjacent box, then the number of reopens for that priority level is not

significantly different than the number of reopens in the adjacent box. This

provides a quick, easy method of determining if priority level really

has an affect on the number of reopens.

The red dots on a plot indicate outliers in the data set. In the

geom_boxplot documentation, outliers are defined as data points

fall outside of 1.5 * IQR where IQR stands for the "Inter-Quartile

Range" of the data.

Plots are generated by the function ggplot

Author(s)

Steven H. Ranney

Contact: [e-mail]

Steven Ranney

stevenranney/ispiranteRanney documentation built on May 30, 2019, 4:46 p.m.