How to remove duplicate from rows

sgnarkhede2016

Hello,
Data Like this

RISK	HIGH|HIGH|HIGH|HIGH|HIGH|HIGH|HIGH|HIGH|HIGH|HIGH|HIGH|HIGH|HIGH|HIGH
D_CHANNEL	DIGITAL|DIGITAL
DIR	OUTWARD|OUTWARD|OUTWARD|OUTWARD|OUTWARD|OUTWARD|OUTWARD|INWARD|INWARD|OUTWARD|OUTWARD|OUTWARD|OUTWARD|OUTWARD|OUTWARD|OUTWARD|OUTWARD|OUTWARD|INWARD|INWARD|INWARD|INWARD|OUTWARD|OUTWARD|OUTWARD|OUTWARD|OUTWARD|OUTWARD|OUTWARD|INWARD|INWARD|INWARD|INWARD|OUTWARD|OUTWARD|INWARD|INWARD|OUTWARD|OUTWARD|OUTWARD|SALE|PURCHASE|OUTWARD|OUTBOUND|OUTBOUND|PURCHASE|PURCHASE|PURCHASE|PURCHASE|SALE|SALE|SALE|SALE|PURCHASE|PURCHASE|SALE|SALE|INWARD|PURCHASE;SALE|PURCHASE;SALE|INWARD;OUTWARD|OUTWARD|INWARD|SALE|PURCHASE|PURCHASE;SALE|PURCHASE;SALE|PURCHASE;SALE;INWARD;OUTWARD|OUTWARD|OUTWARD|OUTWARD|INWARD|INWARD|SALE|SALE|SALE|OUTWARD|OUTWARD|OUTWARD

I want
RISK  HIGH
D_CHANNEL  DIGITAL
DIR    INWARD|OUTWARD|SALE|PURCHASE

BalazsBaranyRM

Hi,

you can do it with a few operators.

1. Split the data attribute on \| (need to quote the | with the backslash, as Split works with regular expressions)
2. De-pivot the resulting data_.+ attributes, resulting in a narrow table with the values from the "pivoted" split parts
3. Aggregate using category, data to remove duplicates
4. Aggregate using category, concatenate the data

Example process:

<?xml version="1.0" encoding="UTF-8"?><process version="9.8.001">
  <context>
    <input/>
    <output/>
    <macros/>
  </context>
  <operator activated="true" class="process" compatibility="9.8.001" expanded="true" name="Process">
    <parameter key="logverbosity" value="init"/>
    <parameter key="random_seed" value="-1"/>
    <parameter key="send_mail" value="never"/>
    <parameter key="notification_email" value=""/>
    <parameter key="process_duration_for_mail" value="30"/>
    <parameter key="encoding" value="SYSTEM"/>
    <process expanded="true">
      <operator activated="true" class="utility:create_exampleset" compatibility="9.8.001" expanded="true" height="68" name="Create ExampleSet" width="90" x="112" y="34">
        <parameter key="generator_type" value="comma separated text"/>
        <parameter key="number_of_examples" value="100"/>
        <parameter key="use_stepsize" value="false"/>
        <list key="function_descriptions"/>
        <parameter key="add_id_attribute" value="false"/>
        <list key="numeric_series_configuration"/>
        <list key="date_series_configuration"/>
        <list key="date_series_configuration (interval)"/>
        <parameter key="date_format" value="yyyy-MM-dd HH:mm:ss"/>
        <parameter key="time_zone" value="SYSTEM"/>
        <parameter key="input_csv_text" value="category,data&#10;dir,OUTWARD|OUTWARD|OUTWARD|OUTWARD|OUTWARD|OUTWARD|OUTWARD|INWARD|INWARD|OUTWARD|OUTWARD|OUTWARD|OUTWARD|OUTWARD|OUTWARD|OUTWARD|OUTWARD|OUTWARD|INWARD|INWARD|INWARD|INWARD|OUTWARD|OUTWARD|OUTWARD|OUTWARD|OUTWARD|OUTWARD|OUTWARD|INWARD|INWARD|INWARD|INWARD|OUTWARD|OUTWARD|INWARD|INWARD|OUTWARD|OUTWARD|OUTWARD|SALE|PURCHASE|OUTWARD|OUTBOUND|OUTBOUND|PURCHASE|PURCHASE|PURCHASE|PURCHASE|SALE|SALE|SALE|SALE|PURCHASE|PURCHASE|SALE|SALE|INWARD|PURCHASE;SALE|PURCHASE;SALE|INWARD;OUTWARD|OUTWARD|INWARD|SALE|PURCHASE|PURCHASE;SALE|PURCHASE;SALE|PURCHASE;SALE;INWARD;OUTWARD|OUTWARD|OUTWARD|OUTWARD|INWARD|INWARD|SALE|SALE|SALE|OUTWARD|OUTWARD|OUTWARD&#10;risk,HIGH|HIGH|HIGH|HIGH|HIGH|HIGH|HIGH|HIGH|HIGH|HIGH|HIGH|HIGH|HIGH|HIGH&#10;d_channel,DIGITAL|DIGITAL"/>
        <parameter key="column_separator" value=","/>
        <parameter key="parse_all_as_nominal" value="false"/>
        <parameter key="decimal_point_character" value="."/>
        <parameter key="trim_attribute_names" value="true"/>
      </operator>
      <operator activated="true" class="split" compatibility="9.8.001" expanded="true" height="82" name="Split" width="90" x="246" y="34">
        <parameter key="attribute_filter_type" value="single"/>
        <parameter key="attribute" value="data"/>
        <parameter key="attributes" value=""/>
        <parameter key="use_except_expression" value="false"/>
        <parameter key="value_type" value="nominal"/>
        <parameter key="use_value_type_exception" value="false"/>
        <parameter key="except_value_type" value="file_path"/>
        <parameter key="block_type" value="single_value"/>
        <parameter key="use_block_type_exception" value="false"/>
        <parameter key="except_block_type" value="single_value"/>
        <parameter key="invert_selection" value="false"/>
        <parameter key="include_special_attributes" value="false"/>
        <parameter key="split_pattern" value="\|"/>
        <parameter key="split_mode" value="ordered_split"/>
      </operator>
      <operator activated="true" class="de_pivot" compatibility="9.8.001" expanded="true" height="82" name="De-Pivot" width="90" x="380" y="34">
        <list key="attribute_name">
          <parameter key="data" value="data_.+"/>
        </list>
        <parameter key="index_attribute" value="category_nr"/>
        <parameter key="create_nominal_index" value="false"/>
        <parameter key="keep_missings" value="false"/>
      </operator>
      <operator activated="true" class="aggregate" compatibility="9.8.001" expanded="true" height="82" name="Aggregate" width="90" x="514" y="34">
        <parameter key="use_default_aggregation" value="false"/>
        <parameter key="attribute_filter_type" value="all"/>
        <parameter key="attribute" value=""/>
        <parameter key="attributes" value=""/>
        <parameter key="use_except_expression" value="false"/>
        <parameter key="value_type" value="attribute_value"/>
        <parameter key="use_value_type_exception" value="false"/>
        <parameter key="except_value_type" value="time"/>
        <parameter key="block_type" value="attribute_block"/>
        <parameter key="use_block_type_exception" value="false"/>
        <parameter key="except_block_type" value="value_matrix_row_start"/>
        <parameter key="invert_selection" value="false"/>
        <parameter key="include_special_attributes" value="false"/>
        <parameter key="default_aggregation_function" value="average"/>
        <list key="aggregation_attributes"/>
        <parameter key="group_by_attributes" value="data|category"/>
        <parameter key="count_all_combinations" value="false"/>
        <parameter key="only_distinct" value="false"/>
        <parameter key="ignore_missings" value="true"/>
      </operator>
      <operator activated="true" class="aggregate" compatibility="9.8.001" expanded="true" height="82" name="Aggregate (2)" width="90" x="648" y="34">
        <parameter key="use_default_aggregation" value="false"/>
        <parameter key="attribute_filter_type" value="all"/>
        <parameter key="attribute" value=""/>
        <parameter key="attributes" value=""/>
        <parameter key="use_except_expression" value="false"/>
        <parameter key="value_type" value="attribute_value"/>
        <parameter key="use_value_type_exception" value="false"/>
        <parameter key="except_value_type" value="time"/>
        <parameter key="block_type" value="attribute_block"/>
        <parameter key="use_block_type_exception" value="false"/>
        <parameter key="except_block_type" value="value_matrix_row_start"/>
        <parameter key="invert_selection" value="false"/>
        <parameter key="include_special_attributes" value="false"/>
        <parameter key="default_aggregation_function" value="average"/>
        <list key="aggregation_attributes">
          <parameter key="data" value="concatenation"/>
        </list>
        <parameter key="group_by_attributes" value="category"/>
        <parameter key="count_all_combinations" value="false"/>
        <parameter key="only_distinct" value="false"/>
        <parameter key="ignore_missings" value="true"/>
      </operator>
      <connect from_op="Create ExampleSet" from_port="output" to_op="Split" to_port="example set input"/>
      <connect from_op="Split" from_port="example set output" to_op="De-Pivot" to_port="example set input"/>
      <connect from_op="De-Pivot" from_port="example set output" to_op="Aggregate" to_port="example set input"/>
      <connect from_op="Aggregate" from_port="example set output" to_op="Aggregate (2)" to_port="example set input"/>
      <connect from_op="Aggregate (2)" from_port="example set output" to_port="result 1"/>
      <portSpacing port="source_input 1" spacing="0"/>
      <portSpacing port="sink_result 1" spacing="0"/>
      <portSpacing port="sink_result 2" spacing="0"/>
    </process>
  </operator>
</process>

Best regards,
Balázs