append different aggregating results of columns into one table?

hi,

I want to calculate some average, median, max, min etc. (those that are not in the metadata results) of the data in one table, 

I use several aggregate operators on that dataset to do this, and then append the results. However, the Append operator is complaining, that column names or so are not matching, but the column number is matching, I just want to append them no matter what the columns are. Is that anyhow  possible?

<?xml version="1.0" encoding="UTF-8"?><process version="7.2.003">
  <context>
    <input/>
    <output/>
    <macros/>
  </context>
  <operator activated="true" class="process" compatibility="6.0.002" expanded="true" name="Process">
    <process expanded="true">
      <operator activated="true" class="retrieve" compatibility="7.2.003" expanded="true" height="68" name="data" width="90" x="179" y="34">
        <parameter key="repository_entry" value="//Cloud Repository/Gefuegedaten"/>
      </operator>
      <operator activated="true" class="multiply" compatibility="7.2.003" expanded="true" height="166" name="Multiply" width="90" x="246" y="289"/>
      <operator activated="true" class="aggregate" compatibility="6.0.006" expanded="true" height="82" name="Aggregate" width="90" x="380" y="136">
        <parameter key="use_default_aggregation" value="true"/>
        <parameter key="include_special_attributes" value="true"/>
        <parameter key="default_aggregation_function" value="median"/>
        <list key="aggregation_attributes"/>
      </operator>
      <operator activated="true" class="aggregate" compatibility="6.0.006" expanded="true" height="82" name="Aggregate (2)" width="90" x="380" y="238">
        <parameter key="use_default_aggregation" value="true"/>
        <parameter key="include_special_attributes" value="true"/>
        <parameter key="default_aggregation_function" value="minimum"/>
        <list key="aggregation_attributes"/>
      </operator>
      <operator activated="true" class="aggregate" compatibility="6.0.006" expanded="true" height="82" name="Aggregate (4)" width="90" x="380" y="34">
        <parameter key="use_default_aggregation" value="true"/>
        <parameter key="include_special_attributes" value="true"/>
        <parameter key="default_aggregation_function" value="maximum"/>
        <list key="aggregation_attributes"/>
      </operator>
      <operator activated="true" class="aggregate" compatibility="6.0.006" expanded="true" height="82" name="Aggregate (3)" width="90" x="581" y="289">
        <parameter key="use_default_aggregation" value="true"/>
        <parameter key="include_special_attributes" value="true"/>
        <list key="aggregation_attributes"/>
      </operator>
      <operator activated="true" class="aggregate" compatibility="6.0.006" expanded="true" height="82" name="Aggregate (5)" width="90" x="648" y="391">
        <parameter key="use_default_aggregation" value="true"/>
        <parameter key="include_special_attributes" value="true"/>
        <parameter key="default_aggregation_function" value="standard_deviation"/>
        <list key="aggregation_attributes"/>
      </operator>
      <operator activated="true" class="append" compatibility="7.2.003" expanded="true" height="166" name="Append" width="90" x="581" y="34">
        <parameter key="datamanagement" value="sparse_map"/>
      </operator>
      <connect from_op="data" from_port="output" to_op="Multiply" to_port="input"/>
      <connect from_op="Multiply" from_port="output 1" to_op="Aggregate (2)" to_port="example set input"/>
      <connect from_op="Multiply" from_port="output 2" to_op="Aggregate" to_port="example set input"/>
      <connect from_op="Multiply" from_port="output 3" to_op="Aggregate (4)" to_port="example set input"/>
      <connect from_op="Multiply" from_port="output 4" to_op="Aggregate (3)" to_port="example set input"/>
      <connect from_op="Multiply" from_port="output 5" to_op="Aggregate (5)" to_port="example set input"/>
      <connect from_op="Aggregate" from_port="example set output" to_op="Append" to_port="example set 2"/>
      <connect from_op="Aggregate (2)" from_port="example set output" to_op="Append" to_port="example set 3"/>
      <connect from_op="Aggregate (4)" from_port="example set output" to_op="Append" to_port="example set 1"/>
      <connect from_op="Aggregate (3)" from_port="example set output" to_op="Append" to_port="example set 4"/>
      <connect from_op="Aggregate (5)" from_port="example set output" to_op="Append" to_port="example set 5"/>
      <connect from_op="Append" from_port="merged set" 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>