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 Successors
- GroupBy8 %
Number To String4 %- Column Filter3 %
- String Manipulation (Multi Column)2 %
- Rule Engine2 %
- Joiner2 %
Row Filter (deprecated)2 %Cell Replacer2 %- Partitioning2 %
Linear Correlation1 %Excel Sheet Appender (XLS)1 %- Pivot1 %
- Auto-Binner (Apply)1 %
- String Manipulation1 %
- Excel Writer1 %
- Python View (legacy)1 %
Cell Splitter< 1 %- Value Lookup< 1 %
- CSV Writer< 1 %
Naive Bayes Learner< 1 %- Value Counter< 1 %
- Category to Number< 1 %
- Auto-Binner< 1 %
Column Appender< 1 %- Bar Chart< 1 %
- Numeric Binner< 1 %
- Rule-based Row Filter< 1 %
Column Rename< 1 %Excel Sheet Appender (XLS)< 1 %- Denormalizer< 1 %
- X-Partitioner< 1 %
- Color Manager< 1 %
- Group Loop Start< 1 %
- String to Number< 1 %
- Tableau Writer< 1 %
- Table View (JavaScript)< 1 %
- Loop End< 1 %
Random Forest Learner< 1 %- Histogram (legacy)< 1 %
- Weka Predictor (3.7)< 1 %
- Concatenate< 1 %
- Sorter< 1 %
- One to Many< 1 %
- Histogram< 1 %
- R View (Table)< 1 %
- Case Converter< 1 %
- Column Filter (legacy)< 1 %
- BinningAnalysis< 1 %
- Filter Apply< 1 %
XLS Writer< 1 %Table Writer< 1 %K Nearest Neighbor< 1 %Random Forest Predictor< 1 %- Rank Correlation< 1 %
Database Writer< 1 %- Column Renamer< 1 %
- Column Resorter< 1 %
- Statistics< 1 %
- Box Plot (legacy)< 1 %
- SMOTE< 1 %
- Independent groups t-test< 1 %
- Bar Chart (JFreeChart)< 1 %
- Histogram Chart (JFreeChart)< 1 %
- Missing Value< 1 %
- CAIM Applier< 1 %
- Normalizer< 1 %
Rank Correlation< 1 %- Crosstab< 1 %
- Math Formula< 1 %
- 2D/3D Scatterplot< 1 %
Model Writer< 1 %- k-Means< 1 %
- Number to String< 1 %
- Table Validator< 1 %
- Scatter Plot (legacy)< 1 %
- Statistics View< 1 %
Naive Bayes Predictor< 1 %- Naive Bayes Predictor< 1 %
- Random Forest Predictor< 1 %
- Binner (Dictionary)< 1 %
- Column Merger< 1 %
- Linear Correlation< 1 %
- Duplicate Row Filter< 1 %
- Missing Value Column Filter< 1 %
- Normalizer (Apply)< 1 %
- String Replacer< 1 %
- Interactive Pie chart (legacy)< 1 %
- Interactive Table (legacy)< 1 %
- Box Plot< 1 %
- Gaussian Distributed Assigner< 1 %
- Column List Loop Start< 1 %
- Linear Regression Learner< 1 %
- PCA< 1 %
- Lag Column< 1 %
- Number to String (PMML)< 1 %
- Number Rounder< 1 %
Linear Discriminant Analysis< 1 %- Extract Table Dimension< 1 %
Color Appender< 1 %- Legacy Date&Time to Date&Time< 1 %
- Java Snippet< 1 %
- Cluster Assigner< 1 %
- K Nearest Neighbor< 1 %
PCA< 1 %- Scorer< 1 %
- Column Aggregator< 1 %
- Domain Calculator< 1 %
- Row Filter (Labs)< 1 %
- Table Manipulator< 1 %
- Cache< 1 %
- Line Plot (legacy)< 1 %
- HeatMap (JFreeChart)< 1 %
- Heatmap (JavaScript)< 1 %
- Data to Report (BIRT)< 1 %
- String to Date&Time< 1 %
- Discretise< 1 %
- Outlier Removal< 1 %
- ARFF Writer< 1 %
- Counting Loop Start< 1 %
- Fuzzy c-Means< 1 %
- Decision Tree Learner< 1 %
- Decision Tree Predictor< 1 %
Logistic Regression Learner< 1 %- Logistic Regression Learner< 1 %
Random Forest Learner< 1 %- Random Forest Learner< 1 %
- Create Bit Vector< 1 %
- Category to Number (Apply)< 1 %
- Column Name Extractor< 1 %
- Correlation Filter< 1 %
- Edit Nominal Domain< 1 %
Row Splitter (deprecated)< 1 %Normalizer< 1 %- String to Number (PMML)< 1 %
- String Replacer (Dictionary)< 1 %
- Kaplan-Meier Estimator< 1 %
- Shapiro-Wilk Test< 1 %
- Conditional Box Plot (legacy)< 1 %
- HiLite Table (legacy)< 1 %
- Interactive Histogram (legacy)< 1 %
- ROC Curve (legacy)< 1 %
- Scatter Plot< 1 %
- Counter Generation< 1 %
- k-Medoids< 1 %
- K Nearest Neighbor (Distance Function)< 1 %
- Similarity Search< 1 %
- Box Plot (JavaScript)< 1 %
- Conditional Box Plot (JavaScript)< 1 %
- Violin Plot (Plotly)< 1 %
- Math Formula (Multi Column)< 1 %
- GroupBy Bar Chart (JFreeChart)< 1 %
- Java Snippet (simple)< 1 %
- Value Selection (legacy)< 1 %
- Line Plot (JavaScript)< 1 %
- Date&Time to legacy Date&Time< 1 %
- Create Collection Column< 1 %
- Table Writer< 1 %
- Feature Selection Loop Start (1:1)< 1 %
Loop End< 1 %- Interval Loop Start< 1 %
- Chunk Loop Start< 1 %
- Naive Bayes Learner< 1 %
- Fuzzy Rule Predictor< 1 %
- Logistic Regression Predictor< 1 %
- SVM Predictor< 1 %
- Gradient Boosted Trees Learner< 1 %
- Tree Ensemble Learner (Regression)< 1 %
- Bootstrap Sampling< 1 %
- Cell Splitter< 1 %
- Column Auto Type Cast< 1 %
- Column Combiner< 1 %
- Column Appender< 1 %
- Column Renamer (Dictionary)< 1 %
- Column Rename (Regex)< 1 %
- Constant Value Column< 1 %
- Cross Joiner< 1 %
- CAIM Binner< 1 %
- Double to Integer< 1 %
- Equal Size Sampling< 1 %
- Reference Column Filter< 1 %
- Constant Value Column Filter< 1 %
- Nominal Value Row Filter< 1 %
- Nominal Value Row Splitter< 1 %
- Reference Row Filter< 1 %
Joiner< 1 %- Numeric Binner (PMML)< 1 %
- Many to One (PMML)< 1 %
Number To String (PMML)< 1 %- Rank< 1 %
- Row Sampling< 1 %
- Shuffle< 1 %
- Column Splitter< 1 %
String Replace (Dictionary)< 1 %- Cell Updater< 1 %
- Rule-based Row Splitter< 1 %
- Data Explorer< 1 %
- Numeric Outliers< 1 %
- One-way ANOVA< 1 %
- Pie chart (legacy)< 1 %
- Parallel Coordinates (legacy)< 1 %
- Shape Manager< 1 %
- Line Plot< 1 %
- Pie Chart< 1 %
- Table View< 1 %
- Fingerprint Bayesian Predictor< 1 %
- Conditional Label Assigner< 1 %
- Bar Chart (JavaScript)< 1 %
- Histogram (JavaScript)< 1 %
- Pie/Donut Chart (JavaScript)< 1 %
- Model to Cell< 1 %
- PMML Predictor< 1 %
- Column Expressions< 1 %
- DL4J Feedforward Learner (Classification) (legacy)< 1 %
- Table to H2O< 1 %
- Pie Chart (JFreeChart)< 1 %
- Bubble Chart (JFreeChart)< 1 %
Excel Writer (XLS)< 1 %- RegEx Filter< 1 %
- Value Filter (legacy)< 1 %
- Scatter Plot (JavaScript)< 1 %
- R Snippet< 1 %
- Table to R< 1 %
- Date&Time Difference< 1 %
- Date&Time Part Extractor< 1 %
- Date&Time-based Row Filter< 1 %
- Date Field Extractor (legacy)< 1 %
- Moving Aggregator< 1 %
- RDKit From Molecule< 1 %
Backward Feature Elimination Start (1:1)< 1 %- RProp MLP Learner< 1 %
- Polynomial Regression Learner< 1 %
Gradient Boosted Trees Learner (Regression)< 1 %Gradient Boosted Trees Predictor< 1 %- Column Comparator< 1 %
- RowID< 1 %
- Ruleset Editor< 1 %
- End IF< 1 %
- Mahalanobis Distance< 1 %
PMML Predictor< 1 %- Item Set Finder (Borgelt)< 1 %
XLS Sheet Appender< 1 %- Replacer< 1 %
- Weka Cluster Assigner (3.7)< 1 %
- Python Script (legacy)< 1 %
Extract Date&Time Fields< 1 %Table Column to Variable< 1 %- Model Writer< 1 %
Counting Loop Start< 1 %- X-Aggregator< 1 %
- Entropy Scorer< 1 %
- Association Rule Learner< 1 %
Tree Ensemble Predictor< 1 %- Random Forest Learner (Regression)< 1 %
Concatenate (Optional in)< 1 %- Number to Category (Apply)< 1 %
- Unpivot< 1 %
CASE Switch Data (End)< 1 %- Distance Matrix Calculate< 1 %
- Association Rule Learner (Borgelt)< 1 %
- Rule Viewer (local) (Legacy)< 1 %
Excel Writer (XLS)< 1 %- Frequency Filter< 1 %
Strings To Document< 1 %Python Script (2⇒1)< 1 %- Date&Time Shift< 1 %
- Moving Average< 1 %
- Table Row To Variable Run-for-time Loop Start< 1 %
- Join Layout< 1 %
- Normalize Plates (B-Score)< 1 %
- Normalize Plates (Z-Score)< 1 %
- ARIMA Learner< 1 %
- Split Collection Column< 1 %
Table Row To Variable Loop Start< 1 %Recursive Loop Start< 1 %- PNN Learner (DDA)< 1 %
- Hierarchical Clustering< 1 %
- Hierarchical Cluster View< 1 %
PCA Compute< 1 %Scorer< 1 %Numeric Scorer< 1 %- Numeric Scorer< 1 %
- SVM Learner< 1 %
Tree Ensemble Learner< 1 %Simple Regression Tree Learner< 1 %- Tree Ensemble Learner< 1 %
- Simple Regression Tree Learner< 1 %
- Cell Splitter By Position< 1 %
- HiLite Row Splitter< 1 %
- Interactive HiLite Collector< 1 %
- Low Variance Filter< 1 %
- Column Filter (PMML)< 1 %
- One to Many (PMML)< 1 %
- Nominal Probability Distribution Creator< 1 %
- String Manipulation (Variable)< 1 %
- Target Shuffling< 1 %
- Rule Engine (Dictionary)< 1 %
- Numeric Median Test< 1 %
- Single sample t-test< 1 %
- Extract Table Spec< 1 %
- Lift Chart (legacy)< 1 %
- Scatter Matrix (legacy)< 1 %
- Size Manager< 1 %
- Parallel Chunk End< 1 %
- DB Writer< 1 %
- Random Number Assigner< 1 %
- Matrix Distance< 1 %
- Bubble Chart (Plotly)< 1 %
- Stacked Area Chart (JavaScript)< 1 %
- Sunburst Chart (JavaScript)< 1 %
- LIBSVMPredictor< 1 %
Send to Power BI< 1 %- Java Snippet Row Filter< 1 %
- TF< 1 %
- Document Vector< 1 %
- Strings to Document< 1 %
- JSON Path< 1 %
- Image Resizer< 1 %
Python Script (1⇒1)< 1 %- R Predictor< 1 %
- Date&Time to String< 1 %
- Modify Date< 1 %
- Time Difference (legacy)< 1 %
- Extract Time Window (legacy)< 1 %
- Molecule Properties< 1 %
- Correlation Pairs To Matrix< 1 %
- Density< 1 %
IF Switch (Flow Variable Value)< 1 %- 2D Kernel Density Plot< 1 %
- Combine Columns by Header< 1 %
- Range Filter< 1 %
- Binning Apply< 1 %
Open in Python< 1 %Python Plot< 1 %- R Plot< 1 %
- Chemical Terms< 1 %
- logP< 1 %
- Fingerprint Similarity< 1 %
- KNFST Learner< 1 %
- ARIMA Visualization< 1 %
Binary Objects to Files< 1 %- Strings to Binary Objects< 1 %
- Catch Errors (Data Ports)< 1 %
Variable to Table Column< 1 %- Extract Variables (Data)< 1 %
- Inject Variables (Data)< 1 %
Image Writer (Table Column)< 1 %- Table to Image< 1 %
CSV Reader< 1 %CSV Writer< 1 %- Image Writer (Table)< 1 %
- Java Edit Variable< 1 %
Backward Feature Elimination Filter< 1 %- Feature Selection Filter< 1 %
- Feature Selection Loop Start (2:2)< 1 %
- Loop End (Column Append)< 1 %
Interval Loop Start< 1 %- PNN Predictor< 1 %
- DBSCAN< 1 %
- MultiLayerPerceptron Predictor< 1 %
Regression Predictor< 1 %- Regression Predictor< 1 %
Gradient Boosted Trees Learner< 1 %Gradient Boosted Trees Predictor< 1 %- Gradient Boosted Trees Predictor< 1 %
Tree Ensemble Learner< 1 %- Tree Ensemble Predictor< 1 %
- Random Forest Predictor (Regression)< 1 %
- Simple Regression Tree Predictor< 1 %
- Create Byte Vector< 1 %
String To Number< 1 %- String to SVG< 1 %
- Column to Grid< 1 %
- Many to One< 1 %
- Reference Column Splitter< 1 %
- Filter Apply Row Splitter< 1 %
- Reference Row Splitter< 1 %
- Subset Matcher< 1 %
- Normalizer (PMML)< 1 %
- Numeric Row Splitter< 1 %
- Set Operator< 1 %
- Table Transposer< 1 %
- Ungroup< 1 %
- Cronbach Alpha< 1 %
- Kruskal-Wallis Test< 1 %
- Paired t-test< 1 %
- Linear Discriminant Analysis Apply< 1 %
- Linear Discriminant Analysis Compute< 1 %
- Linear Discriminant Analysis< 1 %
CASE Switch Model (Start)< 1 %Merge Variables< 1 %- Table to Spark< 1 %
- SDF Writer< 1 %
- Parallel Chunk Start< 1 %
- One Rule Inserter< 1 %
- Random Label Assigner< 1 %
- String Distances< 1 %
- Contour Plot (Plotly)< 1 %
- Error Bars Plot (Plotly)< 1 %
- Line Plot (Plotly)< 1 %
- Parallel Coordinates Plot (JavaScript)< 1 %
Table to HTML< 1 %Table to PDF< 1 %- MoSS< 1 %
- DL4J Feedforward Learner (Regression) (legacy)< 1 %
- Interval Chart (JFreeChart)< 1 %
- Line Chart (JFreeChart)< 1 %
- Scatter Plot (JFreeChart)< 1 %
- Index Query< 1 %
- OSM Map View< 1 %
- Geo-Coordinate Row Filter< 1 %
- Excel Cell Updater< 1 %
- Send to Power BI< 1 %
- Radar Plot Appender< 1 %
- Spark Line Appender< 1 %
- Category to Class< 1 %
- Chi-Square Keyword Extractor< 1 %
- Punctuation Erasure< 1 %
- Dictionary Tagger< 1 %
- POS Tagger< 1 %
Document vector< 1 %- Tags to String< 1 %
- Tag Cloud< 1 %
- Value Selection Configuration< 1 %
- Range Slider Filter Definition (legacy)< 1 %
- Column Selection (legacy)< 1 %
- Decision Tree View (JavaScript)< 1 %
- Generic JavaScript View (JavaScript)< 1 %
- Lift Chart (JavaScript)< 1 %
- ROC Curve (JavaScript)< 1 %
- Table Editor (JavaScript)< 1 %
- Interactive Value Filter Widget< 1 %
- Column Selection Widget< 1 %
- Value Selection Widget< 1 %
- Thinning< 1 %
Python Script (1⇒1)< 1 %Python Script (1⇒2)< 1 %- Table Difference Checker< 1 %
- Window Loop Start< 1 %
- String to Date/Time (legacy)< 1 %
XGBoost Tree Ensemble Learner< 1 %- Column to XML< 1 %
- Binned Performance< 1 %
- Molecule to CDK< 1 %
- Fingerprints< 1 %
- RDKit Descriptor Calculation< 1 %
- RDKit Fingerprint< 1 %
- Information Gain Calculator< 1 %
- Text Classifier Learner< 1 %
- Text Classifier Predictor< 1 %
Column Distance< 1 %- Threshold Analyzer< 1 %
- Start WebDriver< 1 %
Views
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Workflows
!Modern UI_ABC-XYX-RFM AutoML SuperstoreKNIME Hub- 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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