Summary

This operator is capable of treating several data columns at the same time, These columns are named as follows Queue_Column.

Before

 

FromDate

ToDate

W1

W2

Queue

01.01.2005 00:00
01.01.2005 01:00
12
37
D1
01.01.2005 00:00
01.01.2005 01:00
14
39
D2
01.01.2005 01:00
01.01.2005 02:00
16
41
D1
01.01.2005 01:00
01.01.2005 02:00
18
45
D2

 

Afterwards

 

FromDate

ToDate

D1_W1

D2_W1

D1_W2

D2_W2

01.01.2005 00:00
01.01.2005 01:00
12
14
37
39
01.01.2005 00:00
01.01.2005 01:00
16
18
41
45

 

Columns of the input table

Column

Value

 

Description

Column identifier

Any

 

This column contains the respective queue name.

Row identifier 1

Any

opt.

This is the Day Type column of the input table.

Row identifier 2

Any

opt.

An additional identifier column, e.g. day of week, calendar week, ...

Row identifier 3

Any

opt.

Another additional identification column

From

Date

opt.

This is the From column of the input table.

To

Date

opt.

This is the To column of the input table.

Data columns

Any

 

The data columns of the input table, e.g. number of calls, AHT, ...

 

Example: Counting employees by region and time

Situation

The following data node contains employee and customer counts as well as sales numbers by region (A, B) and time of day.

We want to pivot the table so that the number of employees by region is displayed for each time interval.

Settings

Choose the columns which are affected in the operation settings:

It is possible to select more than one data column and / or row identifier.

Result

The resulting data node shows the number of employees in two columns, one for each region A and B.

Note

The order of the columns in the resulting data node depend on the order in which the data are sorted in the original data node.
In this example, Identifier A shows up before B in the original data node, and therefore column order is C A, D B in the resulting data node.

Project-File

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Columns of input table



Parameter



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Calculation method

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Result

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Troubleshooting

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