In a scatter matrix each matrix element Eij is a scatterplot of the columns i and j, where the values of the i-th column are displayed at the x axis and the values of the j-th column at the y axis while the coordinates are displayed alternating on all sides of the plot.
Only columns with a valid domain are available in this view. Make sure that the predecessor node is executed or set the domain with the DomainCalculator node!
HiLiting:
The data points may be selected by either dragging a rectangle with the mouse over the points or clicking directly on them. Hold control pressed for multiple selections. The selected datapoints may be hilited by either right-click to get the context menu or via the hilite menu in the menu bar. The data points are displayed as selected or hilited in all matrix elements.
Tooltip
Move the mouse over the data points to get information about the RowID and the value.
Properties:
Default Settings:
- Mouse Mode: choose "Selection" to select the datapoints or "Zooming" to zoom in. If you have zoomed in you may choose "Moving" to navigate in the zoomed display. If you want to rearrange the order of the columns choose "Transformation". The matrix columns can then be selected and dragged to another position.
- "Fit to screen" fits the display again to the available space.
- "Background color" lets you choose the background color of the display.
- "Anti-aliasing": Check if the view should enable anti-aliasing (make a smoother drawing). This will slow down performance as well.
Column Selection: Choose the columns you want to have displayed in the scatter matrix. Initially only the first three are selected.
Appearance:
- "Dot Size" lets you define the size of the dots.
- "Jitter": if a nominal column is selected, you may adjust how much the values are jittered (scattered around there origin).
Options
Popular Predecessors
- Color Manager7 %
- CSV Reader6 %
Column Rename5 %PCA5 %- Linear Correlation4 %
Excel Reader (XLS)3 %- Scatter Plot (JavaScript)3 %
- Statistics2 %
Number To String1 %String To Number1 %Row Filter (deprecated)1 %- Excel Reader1 %
CSV Reader1 %- Regression Predictor1 %
PCA Compute1 %XLS Reader1 %- Table View (JavaScript)1 %
PCA Apply1 %- Conditional Box Plot (legacy)1 %
- Nominal Value Row Filter< 1 %
- Shape Manager< 1 %
Excel Reader (XLS)< 1 %- Column Filter< 1 %
K Nearest Neighbor< 1 %Regression Predictor< 1 %- Lift Chart (legacy)< 1 %
- Domain Calculator< 1 %
- GroupBy< 1 %
- Extract Table Dimension< 1 %
- Random Forest Predictor< 1 %
Numeric Scorer< 1 %- Concatenate< 1 %
- Association Rule Learner< 1 %
Row Splitter (deprecated)< 1 %Joiner< 1 %- Missing Value< 1 %
- String Manipulation< 1 %
- Column Auto Type Cast< 1 %
- ARFF Reader< 1 %
- Cluster Assigner< 1 %
- Numeric Binner< 1 %
- Rule Engine< 1 %
- Math Formula (Multi Column)< 1 %
- ROC Curve (JavaScript)< 1 %
- RDKit Descriptor Calculation< 1 %
- Heatmap (JavaScript)< 1 %
- Outlier Removal< 1 %
Naive Bayes Predictor< 1 %- Column Resorter< 1 %
- Value Counter< 1 %
- Numeric Outliers< 1 %
- Spark Line Appender< 1 %
- Java Snippet< 1 %
- Entropy Scorer< 1 %
- String Replacer< 1 %
- Numeric Scorer< 1 %
- Ruleset Editor< 1 %
- File Reader< 1 %
- File Reader (Complex Format)< 1 %
- Scorer (JavaScript)< 1 %
- Silhouette Coefficient< 1 %
File Reader< 1 %- Category to Number< 1 %
- One to Many< 1 %
- Shuffle< 1 %
- String to Date&Time< 1 %
- Loop End< 1 %
- 3D Scatter Plot (Plotly)< 1 %
- ARIMA Predictor< 1 %
- Table Creator< 1 %
- Hierarchical Clustering< 1 %
- k-Means< 1 %
- MultiLayerPerceptron Predictor< 1 %
- Logistic Regression Predictor< 1 %
Random Forest Predictor< 1 %- Partitioning< 1 %
- Box Plot (legacy)< 1 %
Color Appender< 1 %- Gaussian Distributed Assigner< 1 %
- H2O Statistics< 1 %
- Date&Time-based Row Filter< 1 %
- PCA Apply< 1 %
- Column Comparator< 1 %
- String to Number< 1 %
- Rank Correlation< 1 %
- Topic Extractor (Parallel LDA)< 1 %
- Parameter Optimization Loop End< 1 %
- String Manipulation (Multi Column)< 1 %
- Column Renamer< 1 %
Naive Bayes Learner< 1 %- Fuzzy c-Means< 1 %
- DBSCAN< 1 %
- Decision Tree Predictor< 1 %
- Linear Regression Learner< 1 %
- Polynomial Regression Learner< 1 %
- Simple Regression Tree Predictor< 1 %
Linear Correlation< 1 %- Correlation Filter< 1 %
- Missing Value Column Filter< 1 %
- Denormalizer< 1 %
- Normalizer< 1 %
- Pivot< 1 %
- RowID< 1 %
- Row Sampling< 1 %
- Sorter< 1 %
- Rule-based Row Filter< 1 %
- Data Explorer< 1 %
- Crosstab< 1 %
- HiLite Table (legacy)< 1 %
- Size Manager< 1 %
- ROC Curve (legacy)< 1 %
- Association Rule Learner (Borgelt)< 1 %
- Math Formula< 1 %
- R Source (Table)< 1 %
- Time Field Extractor (legacy)< 1 %
- XPath< 1 %
- K Nearest Neighbor< 1 %
- Logistic Regression Learner< 1 %
- Scorer< 1 %
- PCA< 1 %
- Number to String< 1 %
- Duplicate Row Filter< 1 %
- Filter Apply< 1 %
- Row Filter (Labs)< 1 %
- Low Variance Filter< 1 %
- Linear Discriminant Analysis< 1 %
- Distance Matrix Calculate< 1 %
Read Excel Sheet Names (XLS)< 1 %- Radar Plot Appender< 1 %
- Line Plot (JavaScript)< 1 %
- Fingerprint Similarity< 1 %
- Joiner< 1 %
- Table Reader< 1 %
- Line Plot (legacy)< 1 %
- SOTA Predictor< 1 %
- Lag Column< 1 %
- Missing Value (Apply)< 1 %
- Column Splitter< 1 %
- Scatter Plot (legacy)< 1 %
- Moving Average< 1 %
- Nominal Probability Distribution Creator< 1 %
- Shape Appender< 1 %
- LIBSVMPredictor< 1 %
- Value Filter (legacy)< 1 %
Python Script (1⇒1)< 1 %Loop End< 1 %Concatenate (Optional in)< 1 %Cell Splitter< 1 %- Column Aggregator< 1 %
- Reference Row Filter< 1 %
- Number Rounder< 1 %
- PMML Compiling Predictor< 1 %
- k-Medoids< 1 %
- Parallel Coordinates Plot (JavaScript)< 1 %
Database Connection Table Reader< 1 %- String to Number (PMML)< 1 %
Linear Discriminant Analysis< 1 %- Python Script (legacy)< 1 %
- Pareto Ranking< 1 %
Database Reader< 1 %Table Reader< 1 %- X-Aggregator< 1 %
- MDS< 1 %
- Random Forest Learner (Regression)< 1 %
- Auto-Binner< 1 %
- Create Bit Vector< 1 %
- Column Rename (Regex)< 1 %
- Edit Numeric Domain< 1 %
- Reference Column Filter< 1 %
- Normalizer (Apply)< 1 %
- Renderer to Image< 1 %
Rank Correlation< 1 %- Extract Table Spec< 1 %
- Extract Color< 1 %
- SDF Reader< 1 %
K Nearest Neighbor (Distance Function)< 1 %- Strings to Document< 1 %
- Column Filter (legacy)< 1 %
Python Script (1⇒2)< 1 %- Modify Date< 1 %
- Extract Time Window (legacy)< 1 %
- String to Date/Time (legacy)< 1 %
- RDKit From Molecule< 1 %
- MapQuest Geocoder< 1 %
- Random Numbers Generator< 1 %
SQL Extract< 1 %- Fuzzy Rule Learner< 1 %
- Constant Value Column< 1 %
- Double to Integer< 1 %
- Interactive HiLite Collector< 1 %
- Normalizer (PMML)< 1 %
String Replace (Dictionary)< 1 %PMML Predictor< 1 %Read XLS Sheet Names< 1 %- Date&Time to String< 1 %
Extract Date&Time Fields< 1 %- Number to String (PMML)< 1 %
- Parallel Coordinates (legacy)< 1 %
- Line Plot (Plotly)< 1 %
- H2O Binomial Scorer< 1 %
k-Means< 1 %PCA Inversion< 1 %Scorer< 1 %- SVM Predictor< 1 %
Gradient Boosted Trees Predictor< 1 %Tree Ensemble Predictor< 1 %- Random Forest Predictor (Regression)< 1 %
Cell Replacer< 1 %Column Appender< 1 %- Column Renamer (Dictionary)< 1 %
- Equal Size Sampling< 1 %
- HiLite Row Splitter< 1 %
- Rank< 1 %
- Numeric Row Splitter< 1 %
- Table Transposer< 1 %
- Ungroup< 1 %
- Rule-based Row Splitter< 1 %
- One-way ANOVA< 1 %
- Data Generator< 1 %
Excel Reader (XLS)< 1 %- Java Snippet (simple)< 1 %
- TF< 1 %
Document vector< 1 %- Term to String< 1 %
- Weka Cluster Assigner (3.7)< 1 %
- JSON Path< 1 %
- Feature Calculator (BETA)< 1 %
Python Script (1⇒1)< 1 %- R Snippet< 1 %
- Date&Time Difference< 1 %
- Date&Time Shift< 1 %
- Time Difference (legacy)< 1 %
- Date Field Extractor (legacy)< 1 %
Dumb Joiner< 1 %- Fast Fourier Transform (FFT)< 1 %
- Frequency Domain Features (FDF)< 1 %
- Window Slider< 1 %
- Fingerprint Similarity< 1 %
- Plate Heatmap Viewer< 1 %
Graph Density Uncertainty Scorer< 1 %- Create Collection Column< 1 %
- Split Collection Column< 1 %
- Binary Objects to Strings< 1 %
- Download (legacy)< 1 %
Variable to Table Column< 1 %Database Looping< 1 %- Group Loop Start< 1 %
- X-Partitioner< 1 %
- Naive Bayes Predictor< 1 %
- PNN Learner (DDA)< 1 %
- PNN Predictor< 1 %
- Hierarchical Cluster Assigner (local)< 1 %
- Hierarchical Cluster Assigner< 1 %
- MDS (DistMatrix)< 1 %
Logistic Regression Learner< 1 %- SMOTE< 1 %
- PCA Compute< 1 %
Random Forest Learner< 1 %Random Forest Learner (Regression)< 1 %Random Forest Predictor< 1 %- Gradient Boosted Trees Predictor (Regression)< 1 %
- Tree Ensemble Predictor (Regression)< 1 %
- Add Empty Rows< 1 %
- Bootstrap Sampling< 1 %
- Column Combiner< 1 %
- Number to Category (Apply)< 1 %
- Column Merger< 1 %
- Column to Grid< 1 %
- Create Table Structure< 1 %
- Table Validator< 1 %
- CAIM Binner< 1 %
- Edit Nominal Domain (Dictionary)< 1 %
- Extract Missing Value Cause< 1 %
- Column Filter (PMML)< 1 %
- One to Many (PMML)< 1 %
- Normalizer Apply (PMML)< 1 %
String To Number (PMML)< 1 %- String Manipulation (Variable)< 1 %
- Ruleset Predictor< 1 %
- Numeric Outliers (Apply)< 1 %
- Kruskal-Wallis Test< 1 %
- Single sample t-test< 1 %
- Independent groups t-test< 1 %
- Size Appender< 1 %
- Molecule Type Cast< 1 %
- Conditional Label Assigner< 1 %
- Empty Table Creator< 1 %
- Random Number Assigner< 1 %
- Mahalanobis Distance< 1 %
- Similarity Search< 1 %
- Scatter Plot (Plotly)< 1 %
- Sunburst Chart (JavaScript)< 1 %
- Surface Plot (Plotly)< 1 %
- PMML Predictor< 1 %
- Universe Marker (Apply)< 1 %
- Column Expressions (legacy)< 1 %
- DL4J Feedforward Predictor (Regression) (legacy)< 1 %
- H2O to Table< 1 %
- SAS7BDAT Reader< 1 %
- Keygraph Keyword Extractor< 1 %
Stop Word Filter< 1 %- Term Vector< 1 %
- Weka Predictor (3.7)< 1 %
- Column Selection (legacy)< 1 %
- Value Selection (legacy)< 1 %
- Decision Tree View (JavaScript)< 1 %
- Tile View (JavaScript)< 1 %
- JSON to Table< 1 %
- Node Adjacency Matrix< 1 %
- R to Table< 1 %
- Time Generator (legacy)< 1 %
- Moving Aggregator< 1 %
- Twitter Search (legacy)< 1 %
- Molecular Properties< 1 %
- RDKit Canon SMILES< 1 %
- RDKit Diversity Picker< 1 %
Location Extractor< 1 %- Image to Table< 1 %
- Naive Bayes Learner< 1 %
- Gradient Boosted Trees Predictor< 1 %
- Auto-Binner (Apply)< 1 %
- Cell Splitter By Position< 1 %
- Column Appender< 1 %
- Cross Joiner< 1 %
- Nominal Value Row Splitter< 1 %
- Table Manipulator< 1 %
- Denormalizer (PMML)< 1 %
- Shapiro-Wilk Test< 1 %
- H2O Multinomial Scorer< 1 %
- H2O Numeric Scorer< 1 %
- t-SNE (L. Jonsson)< 1 %
- Nominal Row Filter Configuration< 1 %
- Lift Chart (JavaScript)< 1 %
- Table Editor (JavaScript)< 1 %
- String Widget< 1 %
- Column Selection Widget< 1 %
Views
- Scatter Matrix
- A scatter matrix displays scatter plots for each combination of columns.
Workflows
01_Feature_Elimination_Done_ManuallyKNIME Hub- 01_Generating_clusters_with_Gaussian_distributionKNIME Hub
- 01_Preprocessing_Time_Alignment_and_VisualizationKNIME Hub
- 01_Preprocessing_Time_Alignment_and_VisualizationKNIME Hub
- 01_Preprocessing_Time_Alignment_and_VisualizationKNIME Hub
- Show all 74 workflows
Links
- No links available
Developers
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