How can i create ranges for a variable?

Tdragi13

So, using the Aggregate function I need to make a chart presenting the standard deviation of "Mo_Income" separated by gender and by international limit. And also I will have to create ranges for the variable first.

Im doing well with the first part but i don´t know how to create the ranges for the variable

ceaperez

Hi @Tdragi13, 
Can you share a sample of your data?

in order to discretize your dataset you can use, for example the Discretize by User Specification operator, (go to Cleansing->Binning).

Another option is creating  a new Attribute using logical functions and value intervals.
Best

Tdragi13

Hi @ceaperez! here is a screenshot of a sample of my data!

ceaperez

Hi @Tdragi13, 

this is a simple example appliying the Discretize by User Specification operator.

next time, please share the process or dataset. 

Best. 

<?xml version="1.0" encoding="UTF-8"?><process version="9.9.000">

  <context>

    <input/>

    <output/>

    <macros/>

  </context>

  <operator activated="true" class="process" compatibility="9.9.000" expanded="true" name="Process">

    <parameter key="logverbosity" value="init"/>

    <parameter key="random_seed" value="2001"/>

    <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="generate_data" compatibility="9.9.000" expanded="true" height="68" name="Generate Data" width="90" x="112" y="187">

        <parameter key="target_function" value="random"/>

        <parameter key="number_examples" value="30"/>

        <parameter key="number_of_attributes" value="1"/>

        <parameter key="attributes_lower_bound" value="380.0"/>

        <parameter key="attributes_upper_bound" value="650.0"/>

        <parameter key="gaussian_standard_deviation" value="10.0"/>

        <parameter key="largest_radius" value="10.0"/>

        <parameter key="use_local_random_seed" value="false"/>

        <parameter key="local_random_seed" value="1992"/>

        <parameter key="datamanagement" value="double_array"/>

        <parameter key="data_management" value="auto"/>

      </operator>

      <operator activated="true" class="discretize_by_user_specification" compatibility="9.9.000" expanded="true" height="103" name="Discretize" width="90" x="380" y="187">

        <parameter key="return_preprocessing_model" value="false"/>

        <parameter key="create_view" value="true"/>

        <parameter key="attribute_filter_type" value="single"/>

        <parameter key="attribute" value="att1"/>

        <parameter key="attributes" value=""/>

        <parameter key="use_except_expression" value="false"/>

        <parameter key="value_type" value="numeric"/>

        <parameter key="use_value_type_exception" value="false"/>

        <parameter key="except_value_type" value="real"/>

        <parameter key="block_type" value="value_series"/>

        <parameter key="use_block_type_exception" value="false"/>

        <parameter key="except_block_type" value="value_series_end"/>

        <parameter key="invert_selection" value="false"/>

        <parameter key="include_special_attributes" value="false"/>

        <list key="classes">

          <parameter key="1" value="430.0"/>

          <parameter key="2" value="490.0"/>

          <parameter key="3" value="540.0"/>

          <parameter key="4" value="650.0"/>

        </list>

      </operator>

      <connect from_op="Generate Data" from_port="output" to_op="Discretize" to_port="example set input"/>

      <connect from_op="Discretize" 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>