This node allows to group numeric data in intervals - called bins. There are two naming options for the bins and two methods which define the number and the range of values that fall in a bin. Please use the "Numeric Binner" node if you want to define custom bins.
Options
Popular Predecessors
- GroupBy11 %
- Math Formula5 %
- Column Filter4 %
- CSV Reader4 %
- Excel Reader4 %
- Missing Value4 %
- Row Filter3 %
String To Number3 %- Normalizer2 %
Number To String2 %- String to Number2 %
- Sorter2 %
- Rule Engine2 %
- Rule-based Row Filter2 %
Excel Reader (XLS)2 %- Column Renamer1 %
Column Rename1 %Linear Correlation1 %- Joiner1 %
- Auto-Binner1 %
- Numeric Binner1 %
- Numeric Outliers1 %
- Date&Time Difference1 %
- Group Loop Start< 1 %
- Number to String< 1 %
- File Reader< 1 %
XLS Reader< 1 %- Duplicate Row Filter< 1 %
Scorer< 1 %- Table Creator< 1 %
- Concatenate< 1 %
- Loop End< 1 %
- Java Snippet< 1 %
- Nominal Value Row Filter< 1 %
- Column Resorter< 1 %
Table Row to Variable< 1 %Column Appender< 1 %- String Manipulation< 1 %
- Anonymization< 1 %
- Domain Calculator< 1 %
- Row Splitter< 1 %
Excel Reader (XLS)< 1 %- Color Manager< 1 %
- Rank< 1 %
- Data Explorer< 1 %
- Missing Value Column Filter< 1 %
- Partitioning< 1 %
- Conditional Box Plot (legacy)< 1 %
- Column Auto Type Cast< 1 %
- Reference Column Filter< 1 %
- Statistics< 1 %
Database Connection Table Reader< 1 %- Math Formula (Multi Column)< 1 %
- RowID< 1 %
- Column Expressions< 1 %
Python Script (1⇒1)< 1 %Table Row to Variable< 1 %Cell Splitter< 1 %- Pivot< 1 %
- File Reader (Complex Format)< 1 %
- Python Script (legacy)< 1 %
Table Reader< 1 %Regression Predictor< 1 %- Round Double< 1 %
- Rule-based Row Splitter< 1 %
- R Snippet< 1 %
- Decision Tree Predictor< 1 %
- Auto-Binner (Apply)< 1 %
Cell Replacer< 1 %- Reference Row Filter< 1 %
- Table Manipulator< 1 %
- X-Partitioner< 1 %
- Edit Numeric Domain< 1 %
- Equal Size Sampling< 1 %
- Counter Generation< 1 %
- X-Aggregator< 1 %
Concatenate (Optional in)< 1 %- DB Query Reader< 1 %
- Scorer< 1 %
- Extract Date&Time Fields< 1 %
- Create Collection Column< 1 %
- Category to Number< 1 %
- Column Aggregator< 1 %
- Fingerprint From String< 1 %
- Column Rename (Regex)< 1 %
Number To String (PMML)< 1 %String To Number (PMML)< 1 %Merge Variables< 1 %- Crosstab< 1 %
Excel Reader (XLS)< 1 %- Scatter Plot (JavaScript)< 1 %
- Date&Time to String< 1 %
- Denormalizer (PMML)< 1 %
- Integer Widget< 1 %
- Table Reader< 1 %
PCA< 1 %- Constant Value Column Filter< 1 %
- Table Transposer< 1 %
- Value Counter< 1 %
- Fingerprint Bayesian Predictor< 1 %
- Java Snippet (simple)< 1 %
- RDKit Descriptor Calculation< 1 %
- Linear Correlation< 1 %
- Number to String (PMML)< 1 %
- Table Row to Variable< 1 %
- BinningAnalysis< 1 %
File Reader< 1 %- Fuzzy c-Means< 1 %
- k-Means< 1 %
- Filter Apply< 1 %
Joiner< 1 %- Column Splitter< 1 %
- Extract Table Dimension< 1 %
- Data Generator< 1 %
- Similarity Search< 1 %
- R to Table< 1 %
- String to Date&Time< 1 %
- XPath< 1 %
- Nominal Value Row Splitter< 1 %
- Row Filter (Labs)< 1 %
- Integer Configuration< 1 %
- String Widget< 1 %
- Excel Writer< 1 %
Table Column to Variable< 1 %- Regression Predictor< 1 %
- Column Combiner< 1 %
- One to Many< 1 %
- Correlation Filter< 1 %
- Denormalizer< 1 %
- Numeric Row Splitter< 1 %
- Shuffle< 1 %
- Ungroup< 1 %
Rank Correlation< 1 %- Size Manager< 1 %
- Math Formula (Variable)< 1 %
- Line Plot (JavaScript)< 1 %
- Parameter Optimization Loop Start< 1 %
- Date Field Extractor (legacy)< 1 %
- Breakpoint< 1 %
- Tree Ensemble Predictor< 1 %
- Binner (Dictionary)< 1 %
- Cell Splitter< 1 %
- Column Renamer (Dictionary)< 1 %
- String to Number (PMML)< 1 %
- Unpivot< 1 %
- Geo-Coordinate Row Filter< 1 %
- Column Appender< 1 %
- String Manipulation (Multi Column)< 1 %
- Read Images< 1 %
CSV Reader< 1 %Loop End< 1 %- Column List Loop Start< 1 %
Naive Bayes Predictor< 1 %- Cluster Assigner< 1 %
- MultiLayerPerceptron Predictor< 1 %
- Logistic Regression Predictor< 1 %
- Column Name Extractor< 1 %
- Column Merger< 1 %
- CAIM Binner< 1 %
- Double to Integer< 1 %
- Missing Value (Apply)< 1 %
- Normalizer (PMML)< 1 %
- Row Sampling< 1 %
- String Replacer< 1 %
- Lift Chart (legacy)< 1 %
- Sunburst Chart (JavaScript)< 1 %
- Weka Predictor (3.7)< 1 %
- Table View (JavaScript)< 1 %
- R Source (Table)< 1 %
Counting Loop Start< 1 %- Hierarchical Clustering< 1 %
- SMOTE< 1 %
- PCA< 1 %
- Bootstrap Sampling< 1 %
- Case Converter< 1 %
- Normalizer (Apply)< 1 %
- Empty Table Switch< 1 %
- DB Reader< 1 %
- H2O to Table< 1 %
Read Excel Sheet Names (XLS)< 1 %- Date&Time-based Row Filter< 1 %
- Discretise< 1 %
- Molecular Properties< 1 %
- Table Column to Variable< 1 %
- Variable Creator< 1 %
- Naive Bayes Predictor< 1 %
- Gradient Boosted Trees Predictor< 1 %
- Interval Loop Start< 1 %
- HiLite Row Splitter< 1 %
- Category to Class< 1 %
- Value Selection (legacy)< 1 %
- Correlation Matrix To Pairs< 1 %
Table Column to Variable< 1 %Table Row To Variable Loop Start< 1 %- Table Validator< 1 %
- Cache< 1 %
- Random Number Assigner (Apache)< 1 %
- Association Rule Learner (Borgelt)< 1 %
- Create Date&Time Range< 1 %
- DB Update< 1 %
- PDB Reader< 1 %
Line Reader< 1 %List Files< 1 %- Loop End (Column Append)< 1 %
Gradient Boosted Trees Predictor< 1 %- Distance Matrix Pair Extractor< 1 %
- Lag Column< 1 %
- Constant Value Column< 1 %
- IF Switch< 1 %
- ROC Curve (legacy)< 1 %
- Slider Input (legacy)< 1 %
- JSON Path< 1 %
- Time Field Extractor (legacy)< 1 %
- Catch Errors (Data Ports)< 1 %
- Try (Data Ports)< 1 %
- PNN Predictor< 1 %
- Linear Regression Learner< 1 %
- Numeric Scorer< 1 %
- Cross Joiner< 1 %
- Edit Nominal Domain< 1 %
- Extract Missing Value Cause< 1 %
Linear Discriminant Analysis< 1 %- SDF Reader< 1 %
- Modify Date< 1 %
- t-SNE (L. Jonsson)< 1 %
- ARFF Reader< 1 %
- SVM Predictor< 1 %
PMML Gradient Boosted Trees Predictor< 1 %- Many to One< 1 %
- Independent groups t-test< 1 %
- Random Number Assigner< 1 %
- Generic Web Service Client< 1 %
- Term to String< 1 %
- RDKit Count-Based Fingerprint< 1 %
- Fingerprint Similarity< 1 %
Database Looping< 1 %- Extract System Properties< 1 %
Line Reader< 1 %- Java Edit Variable< 1 %
Gradient Boosted Trees Predictor< 1 %- Tree Ensemble Predictor (Regression)< 1 %
- Column Comparator< 1 %
- Number to Category (Apply)< 1 %
- Create Table Structure< 1 %
- CAIM Applier< 1 %
Double To Int< 1 %- Interactive HiLite Collector< 1 %
- Rank Correlation< 1 %
- Paired t-test< 1 %
- Parallel Coordinates Plot (JavaScript)< 1 %
- Word Vector Apply (legacy)< 1 %
- JSON to Table< 1 %
- Extract Time Window (legacy)< 1 %
- Row Splitter (col+)< 1 %
- MapQuest Geocoder< 1 %
- K Nearest Neighbor< 1 %
- MDS (DistMatrix)< 1 %
- One-way ANOVA< 1 %
- Document Data Extractor< 1 %
- Column Selection (legacy)< 1 %
- Date&Time Shift< 1 %
Expand Well Position< 1 %- Join Layout< 1 %
- Outlier Removal< 1 %
- Split Collection Column< 1 %
Variable to Table Column< 1 %Variable to Table Row< 1 %Database Reader< 1 %Parameterized Database Query< 1 %Table Writer< 1 %Random Forest Predictor (Regression)< 1 %- Random Forest Predictor (Regression)< 1 %
- Expand Bit Vector< 1 %
- Category to Number (Apply)< 1 %
- Reference Row Splitter< 1 %
- Low Variance Filter< 1 %
String Replace (Dictionary)< 1 %- Target Shuffling< 1 %
CASE Switch Data (Start)< 1 %- Box Plot (legacy)< 1 %
Color Appender< 1 %- SDF Extractor< 1 %
- Empty Table Creator< 1 %
- Stresser< 1 %
- TF< 1 %
- Topic Extractor (Parallel LDA)< 1 %
- Keygraph Keyword Extractor< 1 %
- Weka Cluster Assigner (3.7)< 1 %
- Column Filter (legacy)< 1 %
- Double Input (legacy)< 1 %
- Integer Input (legacy)< 1 %
- List Box Input (legacy)< 1 %
- Lift Chart (JavaScript)< 1 %
MongoDB Reader< 1 %Python Script (1⇒1)< 1 %Extract Date&Time Fields< 1 %- Time Difference (legacy)< 1 %
- Mask Date/Time (legacy)< 1 %
- Moving Aggregator< 1 %
- String to Date/Time (legacy)< 1 %
- String to XML< 1 %
- Fingerprints< 1 %
- String Similarity< 1 %
- Matrix Distributions< 1 %
- Save File Locally< 1 %
- Random Numbers Generator< 1 %
- Range Splitter< 1 %
- Normalize Plates (Z-Score)< 1 %
- MolImporter< 1 %
- KNFST Novelty Scorer< 1 %
Binary Objects to Files< 1 %- Files to Binary Objects< 1 %
- Strings to Binary Objects< 1 %
- String to URI< 1 %
- URI to String< 1 %
SQL Extract< 1 %- Fixed Width File Reader< 1 %
- Feature Selection Loop Start (1:1)< 1 %
Interval Loop Start< 1 %- Chunk Loop Start< 1 %
Variable Condition Loop End< 1 %Generic Loop Start< 1 %- Fuzzy Rule Learner< 1 %
- MDS< 1 %
- Association Rule Learner< 1 %
- PCA Apply< 1 %
Simple Regression Tree Predictor< 1 %Random Forest Learner< 1 %- Random Forest Learner< 1 %
Random Forest Predictor< 1 %- Random Forest Predictor< 1 %
- Create Bit Vector< 1 %
- Create Byte Vector< 1 %
- Cell Splitter By Position< 1 %
- Column to Grid< 1 %
- Table Validator (Reference)< 1 %
- Numeric Binner (PMML)< 1 %
- Column Filter (PMML)< 1 %
- XML to PMML< 1 %
- Reference Column Resorter< 1 %
- Single sample t-test< 1 %
- HiLite Table (legacy)< 1 %
- Interactive Histogram (legacy)< 1 %
- Shape Manager< 1 %
- Spark to Table< 1 %
- SDF Stripper< 1 %
- Parallel Chunk Start< 1 %
- Gaussian Distributed Assigner< 1 %
- Random Label Assigner< 1 %
- Time Series Generator< 1 %
- k-Medoids< 1 %
- Prediction Fusion< 1 %
- Java IF (Table)< 1 %
- Java Snippet Row Filter< 1 %
- DF< 1 %
- Term Document Entropy< 1 %
- Document Vector< 1 %
- Within< 1 %
- Google Sheets Reader< 1 %
- CSS Editor< 1 %
- Table to JSON< 1 %
- Container Input (JSON)< 1 %
- Ultrametric Contour Map< 1 %
- Extract Outline Labeling< 1 %
- R Predictor< 1 %
- GET Request< 1 %
- Duration to Number< 1 %
- Window Loop Start< 1 %
- Date/Time Shift (legacy)< 1 %
- Moving Average< 1 %
XML Reader< 1 %Dumb Joiner< 1 %Binary Scorer< 1 %- Latitude/Longitude to Coordinate< 1 %
- HTTP Result Data Extractor< 1 %
- Window Slider< 1 %
- Customer Distributions< 1 %
- Range Filter< 1 %
- MzTabReader< 1 %
- Standardizer< 1 %
- Binary Objects to Strings< 1 %
- DBSCAN< 1 %
- Simple Regression Tree Predictor< 1 %
- Linear Discriminant Analysis< 1 %
- Parquet Reader< 1 %
- Random Boolean Assigner< 1 %
- PDF Parser< 1 %
- Path to URI< 1 %
- Single Selection Configuration< 1 %
- Range Slider Filter Definition (legacy)< 1 %
- String Input (legacy)< 1 %
- Heatmap (JavaScript)< 1 %
Python Script (2⇒1)< 1 %- Salesforce Simple Query< 1 %
- Modify Time Zone< 1 %
- XGBoost Predictor< 1 %
- Remove Empty Rows< 1 %
- RDKit Diversity Picker< 1 %
- RDKit Find Murcko Scaffolds< 1 %
- RDKit Fingerprint< 1 %
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Workflows
00 Data GenerationKNIME Hub- 00_Guided_Labeling_for_Document_Classification_(legacy)KNIME Hub
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Links
- How to convert a value into a nominal value?by armingrudd on 2019-07-06forum.knime.com/p/64642
- Plotting range of temperatures vs a value?by andrejz on 2020-07-27forum.knime.com/p/98188
Developers
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