How can i create ranges for a variable?

User: "Tdragi13"

New Altair Community Member

Updated Nov 5, 2024 by Jocelyn

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

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User: "Caperez"

Altair Community Member

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

User: "Tdragi13"

New Altair Community Member

OP

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

Image: https://us.v-cdn.net/6030995/uploads/editor/bk/ydbjpjbfayz4.png

Image: https://us.v-cdn.net/6030995/uploads/editor/fg/gqeot6dus9as.png

Image: https://us.v-cdn.net/6030995/uploads/editor/85/pzjbfoh0wwqq.png

User: "Caperez"

Altair Community Member

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>

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