A node which can render two and three dimensional graphs. Points may also be coloured or sized by further sets of categorical or continuous variable columns. Coloring and sizing can also be based on the data tables colour and size models. To toggle 2D/3D modes, simply select or deselect the z value column. You can select points by drawing a box round them (hold down control in 3D mode). To rotate in 3D mode use the mouse: you can zoom the viewpoint with the mouse wheel. To zoom in on particular data, select the points you want, then pick 'zoom to selection' from the view menu. To reset the zoom pick the appropriate option from the same menu. You can also zoom in and out by using the range sliders. To view supplemental information for an individual datapoint, right click on the point and a pop up window will appear. You can choose what is displayed here by selecting a column from the 'label' drop down, or alternatively a selection of columns which is set up via the node dialog. The view will display the column values as specified by the default renderer for that column (e.g. special types like chemical structures appear as structures if an appropriate renderer is installed, etc)
Options
Popular Predecessors
- Denormalizer6 %
CSV Reader4 %PCA Apply4 %- PCA4 %
- k-Means2 %
- PCA Apply2 %
- Color Manager2 %
Numeric Scorer2 %- Numeric Scorer1 %
- CSV Reader1 %
Column Appender1 %- Row Filter1 %
Scorer1 %String To Number1 %Linear Correlation1 %- Joiner1 %
- Column Filter1 %
- Math Formula1 %
- String to Number< 1 %
Regression Predictor< 1 %- Regression Predictor< 1 %
- Concatenate< 1 %
- RDKit Diversity Picker< 1 %
Column Rename< 1 %- t-SNE (L. Jonsson)< 1 %
PCA Compute< 1 %- GroupBy< 1 %
- H2O Numeric Scorer< 1 %
- R Snippet< 1 %
- RDKit Descriptor Calculation< 1 %
- Table Creator< 1 %
- DBSCAN< 1 %
- Table Transposer< 1 %
- Date&Time to String< 1 %
- Scorer< 1 %
- Fuzzy c-Means< 1 %
- Random Forest Learner (Regression)< 1 %
- DL4J Feedforward Predictor (Regression) (legacy)< 1 %
- RDKit Molecule Substructure Filter< 1 %
- Column Aggregator< 1 %
- Normalizer< 1 %
- RowID< 1 %
- Fingerprint Similarity< 1 %
- Renderer to Image< 1 %
Excel Reader (XLS)< 1 %- Excel Reader< 1 %
- X-Aggregator< 1 %
- Gradient Boosted Trees Predictor (Regression)< 1 %
- Shape Manager< 1 %
- Scatter Plot (JavaScript)< 1 %
- String to Date&Time< 1 %
- Outlier Removal< 1 %
- Parameter Optimization Loop End< 1 %
- Cell Splitter< 1 %
- MDS (DistMatrix)< 1 %
- Random Forest Predictor (Regression)< 1 %
- Auto-Binner< 1 %
- Sorter< 1 %
- Rule-based Row Splitter< 1 %
- Molecule Type Cast< 1 %
Variable Loop End< 1 %- Row Sampling< 1 %
- Rule-based Row Filter< 1 %
- Size Manager< 1 %
- k-Medoids< 1 %
K Nearest Neighbor (Distance Function)< 1 %XLS Reader< 1 %Variable to Table Column< 1 %- Bubble Chart (Plotly)< 1 %
PMI Calculation< 1 %File Reader< 1 %- MDS< 1 %
Logistic Regression Learner< 1 %- HiLite Row Splitter< 1 %
- Nominal Value Row Filter< 1 %
- Partitioning< 1 %
Linear Discriminant Analysis< 1 %- Statistics< 1 %
Excel Reader (XLS)< 1 %- Radar Plot Appender< 1 %
- Shuffle< 1 %
- Mask Date/Time (legacy)< 1 %
Regex Extractor< 1 %- Workflow Executor< 1 %
Concatenate (Optional in)< 1 %- Domain Calculator< 1 %
- Reference Row Filter< 1 %
- Missing Value< 1 %
- Numeric Row Splitter< 1 %
- Rule Engine< 1 %
- Data Generator< 1 %
Color Appender< 1 %- Counter Generation< 1 %
- Weka Cluster Assigner (3.7)< 1 %
- XGBoost Predictor (Regression)< 1 %
- Python Script (legacy)< 1 %
- Automated Matched Pairs< 1 %
- SOTA Predictor< 1 %
- Simple Regression Tree Predictor< 1 %
- Column Resorter< 1 %
- Bland-Altman Plot< 1 %
- Numeric Outliers< 1 %
- SDF Reader< 1 %
- Distance Matrix Calculate< 1 %
- Math Formula (Multi Column)< 1 %
- Java Snippet (simple)< 1 %
- Generic JavaScript View (JavaScript)< 1 %
- Table View (JavaScript)< 1 %
- Silhouette Coefficient< 1 %
- Tree Ensemble Learner (Regression)< 1 %
- Random Forest Predictor< 1 %
- Double to Integer< 1 %
- Extract Color< 1 %
- Scatter Plot (Plotly)< 1 %
- Python Predictor (legacy)< 1 %
- Loop End< 1 %
- DB Reader< 1 %
- Column Expressions< 1 %
- TSNE< 1 %
- Desirability Ranking< 1 %
- Split Collection Column< 1 %
Database Reader< 1 %- Group Loop Start< 1 %
- Cluster Assigner< 1 %
- Hierarchical Clustering< 1 %
- Decision Tree Predictor< 1 %
Random Forest Predictor< 1 %- Column Auto Type Cast< 1 %
- Column Rename (Regex)< 1 %
- Row Splitter< 1 %
- Reference Row Splitter< 1 %
Joiner< 1 %- String Manipulation< 1 %
- Value Counter< 1 %
- Data Explorer< 1 %
K Nearest Neighbor< 1 %- Polynomial Regression Learner< 1 %
- PCA Compute< 1 %
Cell Replacer< 1 %- Column Combiner< 1 %
- Lag Column< 1 %
- Cross Joiner< 1 %
- String to Date/Time (legacy)< 1 %
- RDKit Interactive Table< 1 %
- File Reader< 1 %
- Table Reader< 1 %
- Column Appender< 1 %
- Table Manipulator< 1 %
- Hierarchical Cluster Assigner< 1 %
- Row Filter (Labs)< 1 %
Loop End< 1 %- Missing Value Column Filter< 1 %
- Size Appender< 1 %
- Save Workflow< 1 %
- Scatter Plot (JFreeChart)< 1 %
- R Source (Table)< 1 %
- XLogP< 1 %
Table Column to Variable< 1 %Table Reader< 1 %- Tree Ensemble Predictor (Regression)< 1 %
- One to Many< 1 %
- Filter Apply< 1 %
- Rank< 1 %
- Linear Discriminant Analysis Apply< 1 %
- 3D WHIM< 1 %
- Fingerprint Similarity< 1 %
Fingerprint Properties< 1 %- Range Filter< 1 %
- Read FCS Files< 1 %
- PNN Predictor< 1 %
Random Forest Predictor (Regression)< 1 %- Category to Number< 1 %
- Java Snippet Row Splitter< 1 %
- Weka Predictor (3.7)< 1 %
- Value Filter (legacy)< 1 %
- Time Difference (legacy)< 1 %
- Date Field Extractor (legacy)< 1 %
- Naive Bayes Predictor< 1 %
- Shape Appender< 1 %
- K Nearest Neighbor (Distance Function)< 1 %
- Table Column to Variable< 1 %
- Join Layout< 1 %
- Vector Length Normalization< 1 %
- Pareto Ranking< 1 %
- Java Snippet< 1 %
- Linear Regression Learner< 1 %
Tree Ensemble Learner (Regression)< 1 %- Normalizer (Apply)< 1 %
- Pivot< 1 %
- Denormalizer (PMML)< 1 %
- End IF< 1 %
- MoSS MCSS Molecule Similarity< 1 %
- H2O to Table< 1 %
Excel Reader (XLS)< 1 %- Java Snippet Row Filter< 1 %
- Column Selection (legacy)< 1 %
Python Script (2⇒1)< 1 %- Python Source (legacy)< 1 %
- Time Field Extractor (legacy)< 1 %
- Moving Average< 1 %
- Molecule to CDK< 1 %
- Fingerprints< 1 %
- K Nearest Neighbor< 1 %
- SVM Predictor< 1 %
- Gradient Boosted Trees Predictor< 1 %
Random Forest Predictor< 1 %- Add Empty Rows< 1 %
- Number to String< 1 %
- Nominal Value Row Splitter< 1 %
Number To String (PMML)< 1 %- Round Double< 1 %
- String Replacer< 1 %
- Linear Discriminant Analysis< 1 %
- Box Plot (legacy)< 1 %
- Scatter Matrix (legacy)< 1 %
- Line Plot (JavaScript)< 1 %
- Colorspace Converter< 1 %
- Apply Color Settings To Labels< 1 %
- Duration to Number< 1 %
- 3D Coordinates< 1 %
- 3D D-Moments< 1 %
- RDKit Fingerprint< 1 %
- RDKit To Molecule< 1 %
- Surface Plot (Plotly)< 1 %
RDKit Structure Normalizer< 1 %- Substructure Matcher< 1 %
- Domain - Leverage< 1 %
- MAE-to-Smiles< 1 %
- Align to Inertial Principal Axes< 1 %
- Normalize Plates (NPI)< 1 %
- Normalize Plates (Z-Score)< 1 %
- ss-TEA score< 1 %
- 2D/3D Scatterplot< 1 %
- ARIMA Predictor< 1 %
- Hierarchical Cluster Assigner (local)< 1 %
- MultiLayerPerceptron Predictor< 1 %
- OPTICS Cluster Assigner< 1 %
PCA< 1 %- Association Rule Learner< 1 %
- Numeric Binner< 1 %
Cell Splitter< 1 %Number To String< 1 %- Constant Value Column< 1 %
- Correlation Filter< 1 %
- Equal Size Sampling< 1 %
- Normalizer (PMML)< 1 %
String To Number (PMML)< 1 %- Column Splitter< 1 %
- Conditional Box Plot (legacy)< 1 %
- HiLite Table (legacy)< 1 %
- SDF Stripper< 1 %
- Parallel Chunk End (multi port)< 1 %
- Gaussian Distributed Assigner< 1 %
- Association Rule Learner (Borgelt)< 1 %
- String to Term< 1 %
Python Script (1⇒1)< 1 %Python Script (1⇒2)< 1 %- R to Table< 1 %
- Date/Time Shift (legacy)< 1 %
- Molecular Properties< 1 %
- RDKit From Molecule< 1 %
Date Extractor< 1 %- Murcko Scaffold< 1 %
- Total Count< 1 %
Loop End (3 ports)< 1 %- Benchmark End< 1 %
- Vector Distance (3-D)< 1 %
Expand Well Position< 1 %- Similarity Calculator< 1 %
- String to Table< 1 %
- Table to String< 1 %
- XLS Named Range Reader< 1 %
- KNFST Novelty Scorer< 1 %
Database Delete< 1 %Line Reader< 1 %- Feature Selection Loop End< 1 %
Generic Loop Start< 1 %Naive Bayes Predictor< 1 %- MDS Projection< 1 %
- Logistic Regression Predictor< 1 %
- SMOTE< 1 %
Tree Ensemble Predictor (Regression)< 1 %Random Forest Learner (Regression)< 1 %Simple Regression Tree Predictor< 1 %Gradient Boosted Trees Learner (Regression)< 1 %- Random Forest Learner< 1 %
- Expand Bit Vector< 1 %
- Bootstrap Sampling< 1 %
- Table Validator< 1 %
- CAIM Applier< 1 %
- Edit Numeric Domain< 1 %
- Duplicate Row Filter< 1 %
- Interactive HiLite Collector< 1 %
- Reference Column Resorter< 1 %
- Unpivot< 1 %
Rank Correlation< 1 %- Wilcoxon Signed-Rank< 1 %
- Linear Discriminant Analysis Compute< 1 %
- Mol2 Reader< 1 %
- Fingerprint Bayesian Predictor< 1 %
- One Row to Many< 1 %
- Parallel Coordinates Plot (JavaScript)< 1 %
- PMML to Cell< 1 %
- Prediction Fusion< 1 %
- OpenBabel< 1 %
- DL4J Feedforward Predictor (Classification) (legacy)< 1 %
- External Tool< 1 %
- H2O MOJO Predictor (Regression)< 1 %
- LIBSVMPredictor< 1 %
- Porter Stemmer< 1 %
- JPMML Regression Predictor< 1 %
- Multiobjective Subset Selection (NSGA-II)< 1 %
Python Script (2⇒1)< 1 %- Date&Time to legacy Date&Time< 1 %
Extract Date&Time Fields< 1 %- Time to String (legacy)< 1 %
- XPath< 1 %
- Row Splitter (col+)< 1 %
- Lipinski's Rule-of-Five< 1 %
- Symmetry< 1 %
- 3D Viewer< 1 %
RDKit Functional Group Filter< 1 %- RDKit Molecule Catalog Filter< 1 %
- RDKit Substructure Counter< 1 %
- Principal Components< 1 %
- Python Snippet< 1 %
- Linear Correlation< 1 %
- Reference Column Filter< 1 %
- Low Variance Filter< 1 %
- Missing Value (Apply)< 1 %
- 2D Density Plot (Plotly)< 1 %
- Heatmap (JavaScript)< 1 %
- Tile View (JavaScript)< 1 %
- Date&Time Difference< 1 %
- Date&Time-based Row Filter< 1 %
- XGBoost Predictor< 1 %
- RDKit Molecule to SVG< 1 %
- BERT Predictor< 1 %
Views
- Scatter Plot
- A scatter plot view of 2D or 3D.
Workflows
05-k-means-wine-solutionKNIME Hub- 05-k-means-wine-templateKNIME Hub
- aflevering 3KNIME Hub
- Automated_Product_ManagementKNIME Hub
- Basic Customer Segmentation Use Case with wekaKNIME Hub
- Show all 37 workflows
Links
- No links available
Developers
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