Creating dummy variables from text columns

jaakko1jaakko1 Member Posts: 8 Contributor I
edited June 18 in Help
Hello,

is there a more efficient way to create dummy variables using Rapidminer?

Eg, I have to following data
Col1;Col2
1;dog
2;cat
3;zebra
And I would like it to look like this
Col1;dog;cat;zebra
1;1;0;0
2;0;1;0
3;0;0;1
I know I can do this with Generate Attributes' if function, but as I need to create more than 100 dummies, I was wondering if there is a quicker method.

Thanks a lot!

Answers

  • JEdwardJEdward RapidMiner Certified Analyst, RapidMiner Certified Expert, Member Posts: 564   Unicorn
    I think either the Pivot or Transpose operators are what you are looking for. 
    Not sure which one at the moment as I'm a little sleepy.  Give both a try.  ::)
  • jaakko1jaakko1 Member Posts: 8 Contributor I
    Hi,

    thanks for the reply. However somehow I still cant manage to have the data converted into dummy variables using neither Pivot or Transpose.

    Maybe the problem is the text format of the variables?
  • frasfras Member Posts: 93 Contributor II
    For pivoting two attributes need to be nominal, one numeric (the value attribute,
    compare with example process).
    If the value attribute is missing, you have to generate it:

    <?xml version="1.0" encoding="UTF-8" standalone="no"?>
    <process version="6.0.008">
      <context>
        <input/>
        <output/>
        <macros/>
      </context>
      <operator activated="true" class="process" compatibility="6.0.008" expanded="true" name="Process">
        <process expanded="true">
          <operator activated="true" class="read_csv" compatibility="6.0.003" expanded="true" height="60" name="Read CSV" width="90" x="45" y="210">
            <parameter key="csv_file" value="http://pastebin.com/raw.php?i=ASgMba0T"/>
            <parameter key="column_separators" value="\s+"/>
            <parameter key="first_row_as_names" value="false"/>
            <list key="annotations">
              <parameter key="0" value="Name"/>
            </list>
            <parameter key="encoding" value="windows-1252"/>
            <list key="data_set_meta_data_information">
              <parameter key="0" value="Attribute01.true.polynominal.attribute"/>
              <parameter key="1" value="Attribute02.true.polynominal.attribute"/>
            </list>
          </operator>
          <operator activated="true" breakpoints="after" class="generate_attributes" compatibility="6.0.008" expanded="true" height="76" name="Generate Attributes (2)" width="90" x="179" y="210">
            <list key="function_descriptions">
              <parameter key="quantity" value="1"/>
            </list>
          </operator>
          <operator activated="true" class="pivot" compatibility="6.0.008" expanded="true" height="76" name="Pivot" width="90" x="313" y="210">
            <parameter key="group_attribute" value="Attribute01"/>
            <parameter key="index_attribute" value="Attribute02"/>
            <parameter key="consider_weights" value="false"/>
            <parameter key="weight_aggregation" value="count"/>
            <parameter key="skip_constant_attributes" value="false"/>
          </operator>
          <operator activated="true" class="rename_by_replacing" compatibility="6.0.008" expanded="true" height="76" name="Rename by Replacing" width="90" x="447" y="210">
            <parameter key="replace_what" value="quantity_(.*)"/>
            <parameter key="replace_by" value="$1"/>
          </operator>
          <operator activated="true" class="replace_missing_values" compatibility="6.0.008" expanded="true" height="94" name="Replace Missing Values" width="90" x="581" y="210">
            <parameter key="default" value="value"/>
            <list key="columns"/>
            <parameter key="replenishment_value" value="0"/>
          </operator>
          <connect from_op="Read CSV" from_port="output" to_op="Generate Attributes (2)" to_port="example set input"/>
          <connect from_op="Generate Attributes (2)" from_port="example set output" to_op="Pivot" to_port="example set input"/>
          <connect from_op="Pivot" from_port="example set output" to_op="Rename by Replacing" to_port="example set input"/>
          <connect from_op="Rename by Replacing" from_port="example set output" to_op="Replace Missing Values" to_port="example set input"/>
          <connect from_op="Replace Missing Values" 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>

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