我有一个包含书籍信息的数据集。有一个名为“作者”的列，您可以在其中看到每本书的作者。 有时作者不止一位，用“,”分隔
现在我需要计算每本书有多少位作者。
我的第一个目的是计算列中的逗号，但我只是不知道这在Rapidminer中是如何工作的。
我尝试使用 if 语句生成属性，但它只计数到 1，因为没有循环。
我还尝试拆分专栏，因此我将每个作者都放在一个专栏中，但我不知道如何继续。
这就是我最终想要的。
Author: Wiebke Krabbe Count Authors: 1
Author: Claudia Fischer, Ilona Butterer Count Authors: 2
Author: Juliane Seidel, Christin Hopf, Paul Walsh Count Authors: 3
如果有人能帮助我，我将非常感激。
您关于在逗号分隔符上拆分作者属性的建议确实是准确的。下一步涉及通过使用“生成聚合”运算符再次聚合拆分来创建计数。该运算符按“行”运行，并且能够计算新创建的作者列中的出现次数。
RapidMiner 流程示例：
<?xml version="1.0" encoding="UTF-8"?><process version="10.3.001">
<context>
<input/>
<output/>
<macros/>
</context>
<operator activated="true" class="process" compatibility="10.3.001" 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="UTF-8"/>
<process expanded="true">
<operator activated="true" class="utility:create_exampleset" compatibility="10.3.001" 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="book;author book1;Author: Wiebke Krabbe book2;Author: Claudia Fischer, Ilona Butterer book3;Author: Juliane Seidel, Christin Hopf, Paul Walsh"/>
<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="blending:generate_id" compatibility="10.3.001" expanded="true" height="82" name="Generate ID" width="90" x="179" y="34">
<parameter key="create_nominal_ids" value="false"/>
<parameter key="offset" value="0"/>
<description align="center" color="transparent" colored="false" width="126">id will help to join at the end. Not necessary, if id is already present in the real dataset.</description>
</operator>
<operator activated="true" class="multiply" compatibility="10.3.001" expanded="true" height="103" name="Multiply" width="90" x="313" y="34"/>
<operator activated="true" class="split" compatibility="10.3.001" expanded="true" height="82" name="Split" width="90" x="447" y="136">
<parameter key="attribute_filter_type" value="single"/>
<parameter key="attribute" value="author"/>
<parameter key="attributes" value=""/>
<parameter key="use_except_expression" value="false"/>
<parameter key="value_type" value="nominal"/>
<parameter key="use_value_type_exception" value="false"/>
<parameter key="except_value_type" value="file_path"/>
<parameter key="block_type" value="single_value"/>
<parameter key="use_block_type_exception" value="false"/>
<parameter key="except_block_type" value="single_value"/>
<parameter key="invert_selection" value="false"/>
<parameter key="include_special_attributes" value="false"/>
<parameter key="split_pattern" value=","/>
<parameter key="split_mode" value="ordered_split"/>
<description align="center" color="transparent" colored="false" width="126">split author column on comma as separator into new attributes</description>
</operator>
<operator activated="true" class="generate_aggregation" compatibility="10.3.001" expanded="true" height="82" name="Generate Aggregation" width="90" x="581" y="136">
<parameter key="attribute_name" value="author_count"/>
<parameter key="attribute_filter_type" value="regular_expression"/>
<parameter key="attribute" value=""/>
<parameter key="attributes" value=""/>
<parameter key="regular_expression" value="author_.*"/>
<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="aggregation_function" value="count"/>
<parameter key="concatenation_separator" value="|"/>
<parameter key="keep_all" value="false"/>
<parameter key="ignore_missings" value="true"/>
<parameter key="ignore_missing_attributes" value="false"/>
<description align="center" color="transparent" colored="false" width="126">count the number of newly created attributes</description>
</operator>
<operator activated="true" class="concurrency:join" compatibility="10.3.001" expanded="true" height="82" name="Join" width="90" x="715" y="34">
<parameter key="remove_double_attributes" value="true"/>
<parameter key="join_type" value="left"/>
<parameter key="use_id_attribute_as_key" value="true"/>
<list key="key_attributes"/>
<parameter key="keep_both_join_attributes" value="false"/>
<description align="center" color="transparent" colored="false" width="126">join new author count column to original dataset</description>
</operator>
<connect from_op="Create ExampleSet" from_port="output" to_op="Generate ID" to_port="example set input"/>
<connect from_op="Generate ID" 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="Split" to_port="example set input"/>
<connect from_op="Split" from_port="example set output" to_op="Generate Aggregation" to_port="example set input"/>
<connect from_op="Generate Aggregation" from_port="example set output" to_op="Join" to_port="right"/>
<connect from_op="Join" from_port="join" 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>