Groups the rows of a table by the unique values in the selected group columns. A row is created for each unique set of values of the selected group column. The remaining columns are aggregated based on the specified aggregation settings. The output table contains one row for each unique value combination of the selected group columns.
The columns to aggregate can be either defined by selecting the columns directly, by name based on a search pattern or based on the data type. Input columns are handled in this order and only considered once e.g. columns that are added directly on the "Manual Aggregation" tab are ignored even if their name matches a search pattern on the "Pattern Based Aggregation" tab or their type matches a defined type on the "Type Based Aggregation" tab. The same holds for columns that are added based on a search pattern. They are ignored even if they match a criterion that has been defined in the "Type Based Aggregation" tab.
The "Manual Aggregation" tab allows you to change the aggregation method of more than one column. In order to do so select the columns to change, open the context menu with a right mouse click and select the aggregation method to use.
In the "Pattern Based Aggregation" tab you can assign aggregation methods to columns based on a search pattern. The pattern can be either a string with wildcards or a regular expression. Columns where the name matches the pattern but where the data type is not compatible with the selected aggregation method are ignored. Only columns that have not been selected as group column or that have not been selected as aggregation column on the "Manual Aggregation" tab are considered.
The "Type Based Aggregation" tab allows to select an aggregation method for all columns of a certain data type e.g. to compute the mean for all decimal columns (DoubleCell). Only columns that have not been handled by the other tabs e.g. group, column based and pattern based are considered. The data type list to choose from contains basic types e.g String, Double, etc. and all data types the current input table contains.
A detailed description of the available aggregation methods can be found on the 'Description' tab in the node dialog.
Options
Groups
Advanced settings
Manual Aggregation
Pattern Based Aggregation
Type Based Aggregation
Popular Successors
Row Filter (deprecated)10 %- GroupBy9 %
- Excel Writer9 %
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Variable Condition Loop End< 1 %K Nearest Neighbor< 1 %- Amazon S3 Connector< 1 %
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RDKit Structure Normalizer< 1 %- R-Group Decomposer< 1 %
Expand Well Position< 1 %- XLS Coloured Writer< 1 %
List Files< 1 %- Feature Selection Filter< 1 %
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Send to Power BI< 1 %- TF< 1 %
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String To Number< 1 %- Equal Size Sampling< 1 %
Rule Engine< 1 %- Table to Spark< 1 %
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JSON Writer< 1 %- R Learner< 1 %
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Write MDB< 1 %- Benchmark Start< 1 %
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Missing Value< 1 %- String to Number (PMML)< 1 %
Parquet Writer< 1 %- Bubble Chart (Plotly)< 1 %
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Python View< 1 %- Date&Time to legacy Date&Time< 1 %
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Binary Scorer< 1 %- RDKit R-Group Decomposition< 1 %
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Python Snippet< 1 %- Chemical Terms< 1 %
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MarvinSpace< 1 %- Automated Matched Pairs< 1 %
Database Reader< 1 %- File Reader< 1 %
Table Row To Variable Loop Start< 1 %- Fuzzy Rule Learner< 1 %
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String Replace (Dictionary)< 1 %Kaplan-Meier Estimator< 1 %- Kruskal-Wallis Test< 1 %
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XLS Writer< 1 %- Dictionary Tagger< 1 %
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- Python Snippet 2:2< 1 %
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Random Forest Predictor< 1 %- PMML Simple Regression Tree Predictor< 1 %
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DL Network Executor< 1 %- Table to PMML Ensemble< 1 %
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XGBoost Linear Ensemble Learner< 1 %- XML Row Combine and Write< 1 %
XML Reader< 1 %XML Writer< 1 %Binary Scorer< 1 %- XLogP< 1 %
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OAuth< 1 %Click< 1 %Extract Outer/InnerHTML< 1 %- Synchronize< 1 %
- MOPAC< 1 %
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Open in Python< 1 %Convert to R< 1 %- R Snippet (2:1)< 1 %
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Category to Number< 1 %Column Resorter< 1 %Domain Calculator< 1 %Column Filter< 1 %- Interactive HiLite Collector< 1 %
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CASE Switch Variable (Start)< 1 %- Global Timer Info< 1 %
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SDF Writer< 1 %- Smiles Directory Writer< 1 %
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XLS Reader< 1 %Excel Reader (XLS)< 1 %R Snippet< 1 %Tableau Writer (Hyper)< 1 %Tableau Writer (TDE)< 1 %- DF< 1 %
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Punctuation Erasure< 1 %- Snowball Stemmer< 1 %
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Document Vector Adapter< 1 %Document vector hashing< 1 %- Term Neighborhood Extractor< 1 %
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Compress Files/Folder< 1 %- Compress Files/Folder (Table)< 1 %
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Python Script (1⇒2)< 1 %Python Script (2⇒2)< 1 %Python Edit Variable< 1 %- Python Predictor (legacy)< 1 %
Python Script (2⇒2)< 1 %Multi Selection QuickForm (legacy)< 1 %Column Filter QuickForm (legacy)< 1 %Column Selection QuickForm (legacy)< 1 %- R Source (Table)< 1 %
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Dumb Joiner< 1 %- 2D Coordinates< 1 %
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Ranking Services< 1 %- Form Encoded HTTP Entity Creator< 1 %
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Find Elements< 1 %- Find Elements< 1 %
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