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Exercise2

<p><strong>Chapter 5/Exercise 2</strong></p><p>This exercise demonstrate how to create and apply flow variables to dynamically filter the input data. We</p><ul><li><p>convert data values into flow variables (different branches)</p></li><li><p>apply the flow variables to dynamically adjust the setting of the Row Filter, and</p></li><li><p>create today's date as a flow variable and add it to the filtered dataset.</p></li></ul>

Find car manufacturer with lowest occurrence (nr. of data rows)

Find car manufacturer with highest occurrence (nr. of data rows)

Workflow: Chapter 5/Exercise 2


This exercise demonstrate how to create and apply flow variables to dynamically filter the input data. We

  • convert data values into flow variables (different branches)

  • apply the flow variables to dynamically adjust the setting of the Row Filter, and

  • create today's date as a flow variable and add it to the filtered dataset.

Reading data

Aggregating data

Identify occurrence of each car manufacturer:

  • Category column: make

  • Aggregation method: Occurrence count

Applying flow variables to dynamically filter the input data

Create today's date as flow variable and append to filtered data table

Sort by countin descending order
Sorter
Occurrence countby manufacturer
Row Aggregator
Create today's dateas flow variable
Date&Time Configuration
Filter data to mostfrequent manufacturer
Row Filter
Append date
Expression
Convert value toflow variable
Table Row to Variable
Convert value toflow variable
Table Row to Variable
Sort by countin ascending order
Sorter
Combine data of most and leastfrequent manufacturers
Concatenate
cars-85.csv
CSV Reader
Filter to column"make"
Column Filter
Filter data to leastfrequent manufacturer
Row Filter
Filter to column"make"
Column Filter
Filter to first row
Row Filter
Filter to first row
Row Filter

Nodes

Extensions

Links