Description Usage Arguments Details Author(s)
This function plots the number of reopens and produces a box
plot of those values for each assignee_name
in the dF
. The
call volume of an agent is produced.
1 | PlotReopensByAgent(dF, ...)
|
dF |
The dataFrame for which to plot resolution time by date level. |
... |
Arguments to be passed to other functions. Specifically, this can take the form of identifying which the sample datasets provided all had either at least or either of these values as the date of interest. |
Wait time in all sample dataFrames is factor
; this function
converts apparently numeric values to as.numeric
.
This functions converts values that are nan.0
to NA
.
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
The blue line in the top plot of the window is the number calls
received by each assignee_name
. Assignees with high volume and low
reopens resolve their assigned issues effectively. The combination of these
plots can tell a manager which employees are most efficient at resolving
calls.
The red line in the bottom plot of the window produced from this function
is the mean number of reopens for the entire data frame. Agents whose
medians are below this line may be more effective at researching and resolving customer
issues. Further, agents that are more effective could
be considered as 'trainers' for new staff.
Steven H. Ranney
Contact: Steven.Ranney@gmail.com
Steven Ranney
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