PlotWaitTimeByDay: Plot hours waited by day of week

In stevenranney/ispiranteRanney: Functions to analyze Ispirante data

Description

This function plots the wait time (in hours) and produces a box

plot of those values as a function of day. Day levels include those

assigned from the AssignDateAndDay function.

Usage

PlotWaitTimeByDay(dF, ...)

Arguments

dF	The dataFrame for which to plot resolution time by priority level.
...	Arguments to be passed to other functions. Specifically, this can take the form of identifying which date value is of interest. For example the sample datasets provided all had either at least assigned_at or created_at values. The AssignDateAndDay can used either of these values as the date of interest.

Details

This function calls the AssignDateAndDay function to

assign the day values used.

Wait time in all sample dataFrames is a factor; this function

converts apparently numeric values to as.numeric

This functions converts values that are nan.0 to NA

values. Other NA values will have to be addressed separately.

Day of week levels in some of the sample data are represented by the

days of the week. For the purposes of this function, weeks begin on

Monday and continue through Sunday.

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

managers understand the wait time on any given dayOfWeek. If the

notches in a box overlap the heavy bar (i.e., the median resolution time)

in an adjacent box, then the resolution time for that priority level is not

significantly different than the resolution time in the adjacent plot. This

provides a quick, easy method of determining if dayOfWeek really

has an affect on resolution time.

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.