Pareto question

LilC

Hi guys, thanks for all the help.
I am trying to use the Pareto chart. 
So far, I can see the individual country's sale in the chart with the percentage of total sales.

But if I want to see if the top 20% of countries (based on sales) have 80% of the total sales.
It is kinda like I need to sum up the sales of a country to show its percentage over other countries.
It is kinda like this:


In the case of the pic shows, how can I know the USA to Canada are the top 20% of the country on sales.


Thanks again.

BalazsBarany

Hi,

for this you need to reproduce the row-wise cumulation of the sales numbers (like the red line does) and then filter on the cumulated percentage. Here's an example process:

<?xml version="1.0" encoding="UTF-8"?><process version="9.7.001">
  <context>
    <input/>
    <output/>
    <macros/>
  </context>
  <operator activated="true" class="process" compatibility="9.7.001" 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="9.7.001" expanded="true" height="68" name="Create ExampleSet" width="90" x="45" 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="Country,Sales&#10;Mexico,45000&#10;Germany,225000&#10;Austria,120000&#10;USA,232000&#10;France,80000&#10;UK,70000&#10;Venezuela,69000&#10;Sweden,78000&#10;Brazil,110000&#10;Canada,77000&#10;Ireland,76000&#10;Belgium,50000&#10;Denmark,49000&#10;Switzerland,48000&#10;Finland,40000&#10;Spain,35000&#10;Italy,30000&#10;Portugal,25000&#10;Argentina,20000&#10;Norway,15000"/>
        <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="sort" compatibility="9.7.001" expanded="true" height="82" name="Sort by sales decreasing" width="90" x="45" y="136">
        <parameter key="attribute_name" value="Sales"/>
        <parameter key="sorting_direction" value="decreasing"/>
      </operator>
      <operator activated="true" class="aggregate" compatibility="9.7.001" expanded="true" height="82" name="Sum of Sales" width="90" x="45" y="289">
        <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="Sales" value="sum"/>
        </list>
        <parameter key="group_by_attributes" value=""/>
        <parameter key="count_all_combinations" value="false"/>
        <parameter key="only_distinct" value="false"/>
        <parameter key="ignore_missings" value="true"/>
      </operator>
      <operator activated="true" class="extract_macro" compatibility="9.7.001" expanded="true" height="68" name="Extract sumSales" width="90" x="179" y="289">
        <parameter key="macro" value="sumSales"/>
        <parameter key="macro_type" value="data_value"/>
        <parameter key="statistics" value="average"/>
        <parameter key="attribute_name" value="sum(Sales)"/>
        <parameter key="example_index" value="1"/>
        <list key="additional_macros"/>
        <description align="center" color="transparent" colored="false" width="126">Careful with the execution order - this should be executed before &amp;quot;Generate salesPct&amp;quot;</description>
      </operator>
      <operator activated="true" class="generate_id" compatibility="9.7.001" expanded="true" height="82" name="Generate ID" width="90" x="179" y="136">
        <parameter key="create_nominal_ids" value="false"/>
        <parameter key="offset" value="0"/>
      </operator>
      <operator activated="true" class="extract_macro" compatibility="9.7.001" expanded="true" height="68" name="Extract nrOfExamples" width="90" x="246" y="34">
        <parameter key="macro" value="nrOfExamples"/>
        <parameter key="macro_type" value="number_of_examples"/>
        <parameter key="statistics" value="average"/>
        <parameter key="attribute_name" value=""/>
        <list key="additional_macros"/>
      </operator>
      <operator activated="true" class="generate_attributes" compatibility="9.7.001" expanded="true" height="82" name="Generate salesPct" width="90" x="380" y="34">
        <list key="function_descriptions">
          <parameter key="salesPct" value="Sales / eval(%{sumSales})"/>
        </list>
        <parameter key="keep_all" value="true"/>
      </operator>
      <operator activated="true" class="multiply" compatibility="9.7.001" expanded="true" height="103" name="Multiply" width="90" x="514" y="136"/>
      <operator activated="true" class="concurrency:loop" compatibility="9.7.001" expanded="true" height="82" name="Loop for cumulated sum" width="90" x="648" y="187">
        <parameter key="number_of_iterations" value="%{nrOfExamples}"/>
        <parameter key="iteration_macro" value="nr"/>
        <parameter key="reuse_results" value="false"/>
        <parameter key="enable_parallel_execution" value="false"/>
        <process expanded="true">
          <operator activated="true" class="filter_example_range" compatibility="9.7.001" expanded="true" height="82" name="Filter Example Range" width="90" x="112" y="34">
            <parameter key="first_example" value="1"/>
            <parameter key="last_example" value="%{nr}"/>
            <parameter key="invert_filter" value="false"/>
          </operator>
          <operator activated="true" class="aggregate" compatibility="9.7.001" expanded="true" height="82" name="Aggregate" width="90" x="246" 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="id" value="maximum"/>
              <parameter key="salesPct" value="sum"/>
            </list>
            <parameter key="group_by_attributes" value=""/>
            <parameter key="count_all_combinations" value="false"/>
            <parameter key="only_distinct" value="false"/>
            <parameter key="ignore_missings" value="true"/>
          </operator>
          <connect from_port="input 1" to_op="Filter Example Range" to_port="example set input"/>
          <connect from_op="Filter Example Range" from_port="example set output" to_op="Aggregate" to_port="example set input"/>
          <connect from_op="Aggregate" from_port="example set output" to_port="output 1"/>
          <portSpacing port="source_input 1" spacing="0"/>
          <portSpacing port="source_input 2" spacing="0"/>
          <portSpacing port="sink_output 1" spacing="0"/>
          <portSpacing port="sink_output 2" spacing="0"/>
        </process>
      </operator>
      <operator activated="true" class="append" compatibility="9.7.001" expanded="true" height="82" name="Append" width="90" x="782" y="187">
        <parameter key="datamanagement" value="double_array"/>
        <parameter key="data_management" value="auto"/>
        <parameter key="merge_type" value="all"/>
      </operator>
      <operator activated="true" class="concurrency:join" compatibility="9.7.001" expanded="true" height="82" name="Join" width="90" x="648" y="34">
        <parameter key="remove_double_attributes" value="true"/>
        <parameter key="join_type" value="inner"/>
        <parameter key="use_id_attribute_as_key" value="false"/>
        <list key="key_attributes">
          <parameter key="id" value="maximum(id)"/>
        </list>
        <parameter key="keep_both_join_attributes" value="false"/>
      </operator>
      <operator activated="true" class="filter_examples" compatibility="9.7.001" expanded="true" height="103" name="Filter Examples" width="90" x="849" y="34">
        <parameter key="parameter_expression" value=""/>
        <parameter key="condition_class" value="custom_filters"/>
        <parameter key="invert_filter" value="false"/>
        <list key="filters_list">
          <parameter key="filters_entry_key" value="sum(salesPct).le.0\.8"/>
        </list>
        <parameter key="filters_logic_and" value="true"/>
        <parameter key="filters_check_metadata" value="true"/>
      </operator>
      <connect from_op="Create ExampleSet" from_port="output" to_op="Sort by sales decreasing" to_port="example set input"/>
      <connect from_op="Sort by sales decreasing" from_port="example set output" to_op="Generate ID" to_port="example set input"/>
      <connect from_op="Sort by sales decreasing" from_port="original" to_op="Sum of Sales" to_port="example set input"/>
      <connect from_op="Sum of Sales" from_port="example set output" to_op="Extract sumSales" to_port="example set"/>
      <connect from_op="Generate ID" from_port="example set output" to_op="Extract nrOfExamples" to_port="example set"/>
      <connect from_op="Extract nrOfExamples" from_port="example set" to_op="Generate salesPct" to_port="example set input"/>
      <connect from_op="Generate salesPct" from_port="example set output" to_op="Multiply" to_port="input"/>
      <connect from_op="Multiply" from_port="output 1" to_op="Join" to_port="left"/>
      <connect from_op="Multiply" from_port="output 2" to_op="Loop for cumulated sum" to_port="input 1"/>
      <connect from_op="Loop for cumulated sum" from_port="output 1" to_op="Append" to_port="example set 1"/>
      <connect from_op="Append" from_port="merged set" to_op="Join" to_port="right"/>
      <connect from_op="Join" from_port="join" to_op="Filter Examples" to_port="example set input"/>
      <connect from_op="Filter Examples" from_port="example set output" to_port="result 1"/>
      <connect from_op="Filter Examples" from_port="unmatched example set" to_port="result 2"/>
      <portSpacing port="source_input 1" spacing="0"/>
      <portSpacing port="sink_result 1" spacing="0"/>
      <portSpacing port="sink_result 2" spacing="0"/>
      <portSpacing port="sink_result 3" spacing="0"/>
    </process>
  </operator>
</process>

We extract the sum of all sales by aggregating the attribute with the sum function. The result is extracted into a macro (sumSales). Then we calculate the current percentage: Sales / sumSales.
Now we have to sum up the percentages up until the current row. This can be done in different ways, here I used Loop with the number of examples as the iteration count. Inside the loop, we select rows 1 to the current, aggregate the sales percentages, and we Append the loop result. Now we can join this back to the original table and filter the example having >= 0.8 in the cumulated sum attribute.

Regards,
Balázs