This node visualizes the input data as a HeatMap. A HeatMap visualizes a matrix by coloring each entry of the matrix with a color scale. For generating the HeatMap a column of type DistanceVector or ListCell has to be selected from the input data. Alternatively, multiple numerical columns can be selected. The minimal value, found in the matrix of numbers, is mapped to the color selected as lower bound and the maximal value to the upper bound. The entries inside the range are assigned a color inside this range. If the value can't be extracted, e.g. a missing value, the corresponding block is transparent.
Options
Axis configuration
General Plot Options
Popular Predecessors
Row Filter (deprecated)4 %Row Splitter (deprecated)4 %File Reader3 %Rank Correlation3 %- Missing Value2 %
- Hierarchical Cluster View2 %
- Fast Fourier Transform (FFT)2 %
- Loop End (Column Append)2 %
- RDKit Open 3D Alignment2 %
- Color Manager1 %
- 3D D-Similarity1 %
- Scorer1 %
- Correlation Filter1 %
- Linear Correlation1 %
- Fingerprint Similarity1 %
PCA Compute1 %- Create Collection Column1 %
- Pivot1 %
- Activity Profiling1 %
Table Row to Variable1 %- Decision Tree Predictor1 %
Excel Reader (XLS)1 %- String Manipulation< 1 %
- R Snippet< 1 %
- Fingerprint Similarity< 1 %
Concatenate (Optional in)< 1 %Column Appender< 1 %- Hierarchical Clustering< 1 %
Linear Correlation< 1 %- Column Splitter< 1 %
- Extract Table Dimension< 1 %
- k-Medoids< 1 %
- Similarity Search< 1 %
- Scatter Plot (JavaScript)< 1 %
- Node Adjacency Matrix< 1 %
- Concatenate< 1 %
Number To String< 1 %- Math Formula (Multi Column)< 1 %
XLS Reader< 1 %- Scorer (JavaScript)< 1 %
- Split Collection Column< 1 %
Table Reader< 1 %- Add Empty Rows< 1 %
- Auto-Binner< 1 %
- GroupBy< 1 %
- Crosstab< 1 %
- Box Plot (legacy)< 1 %
- Distance Matrix Calculate< 1 %
Excel Reader (XLS)< 1 %- Table View (JavaScript)< 1 %
Excel Reader (XLS)< 1 %- Chunk Loop Start< 1 %
- Java Snippet< 1 %
- Rule Engine< 1 %
Color Appender< 1 %- Math Formula< 1 %
- Decision Tree View (JavaScript)< 1 %
Python Script (1⇒1)< 1 %- Value Counter< 1 %
- Data Explorer< 1 %
- Table Manipulator< 1 %
- Document Vector< 1 %
- Table Creator< 1 %
- Hierarchical Clustering (DistMatrix)< 1 %
PCA< 1 %- SOTA Predictor< 1 %
- Column Combiner< 1 %
- Column Aggregator< 1 %
- Column Resorter< 1 %
- Column Filter< 1 %
- Normalizer< 1 %
Column Rename< 1 %- RowID< 1 %
- Sorter< 1 %
- Table Transposer< 1 %
- Unpivot< 1 %
K Nearest Neighbor (Distance Function)< 1 %- Table to JSON< 1 %
- RDKit Molecule Fragmenter< 1 %
Database Reader< 1 %- PCA Compute< 1 %
- Cell Splitter< 1 %
- String to Number< 1 %
- Lag Column< 1 %
- Missing Value Column Filter< 1 %
- Reference Column Resorter< 1 %
- Rank Correlation< 1 %
- Heatmap (JavaScript)< 1 %
- CSV Reader< 1 %
- File Reader< 1 %
- Excel Reader< 1 %
- End IF< 1 %
- Hierarchical Cluster Assigner< 1 %
- Numeric Row Splitter< 1 %
- 3D Coordinates< 1 %
- Welch Averaging< 1 %
- Hierarchical Cluster Assigner (local)< 1 %
Scorer< 1 %- SDF Reader< 1 %
- Row Sampling< 1 %
- Distance Matrix Reader< 1 %
Column Distance< 1 %- Plate Heatmap Viewer< 1 %
- Create Directory (legacy)< 1 %
- PNN Predictor< 1 %
String To Number< 1 %- Molecule Type Cast< 1 %
- Index Query< 1 %
- Java Snippet Row Filter< 1 %
Vocabulary Extractor (legacy)< 1 %Python Script (1⇒1)< 1 %Python Script (2⇒1)< 1 %- RDKit Generate Coords< 1 %
- Double to Integer< 1 %
- String Manipulation (Variable)< 1 %
- Shape Manager< 1 %
- Radar Plot Appender< 1 %
Variable to Table Column< 1 %CSV Reader< 1 %Loop End< 1 %Recursive Loop End< 1 %- k-Means< 1 %
- Simple Regression Tree Predictor< 1 %
- HiLite Row Splitter< 1 %
Joiner< 1 %- Low Variance Filter< 1 %
- Rank< 1 %
- String Replacer< 1 %
- Rule-based Row Splitter< 1 %
- HeatMap (JFreeChart)< 1 %
- String Input (legacy)< 1 %
Web Log Reader< 1 %- 3D WHIM< 1 %
- RDKit Diversity Picker< 1 %
- MapQuest Geocoder< 1 %
- IScreen< 1 %
Table Column to Variable< 1 %- SVM Predictor< 1 %
- Create Byte Vector< 1 %
- Number to String< 1 %
- Equal Size Sampling< 1 %
- Constant Value Column Filter< 1 %
- Denormalizer< 1 %
- Normalizer Apply (PMML)< 1 %
- String to Number (PMML)< 1 %
- Scatter Plot (legacy)< 1 %
- MoSS MCSS Molecule Similarity< 1 %
- Vocabulary Extractor (legacy)< 1 %
- Tag Cloud (JavaScript)< 1 %
- Distance Map< 1 %
- Normalize Plates (POC)< 1 %
- Scatter Plot (Plotly)< 1 %
- Python Script (legacy)< 1 %
- Fingerprint Similarity Calculator< 1 %
- IDTextReader< 1 %
- Java Edit Variable< 1 %
- Group Loop Start< 1 %
- X-Aggregator< 1 %
- Cluster Assigner< 1 %
- Fuzzy c-Means< 1 %
K Nearest Neighbor< 1 %PCA Apply< 1 %- Regression Predictor< 1 %
Random Forest Predictor< 1 %- PMML Simple Regression Tree Predictor< 1 %
- Distance Matrix Pair Extractor< 1 %
- Numeric Binner< 1 %
- Column Auto Type Cast< 1 %
- Category to Number< 1 %
- Column Rename (Regex)< 1 %
- Domain Calculator< 1 %
- Reference Column Filter< 1 %
- Missing Value (Apply)< 1 %
- Number Rounder< 1 %
- Rule-based Row Filter< 1 %
- Single sample t-test< 1 %
- Statistics< 1 %
- Data Generator< 1 %
- Counter Generation< 1 %
- Frequency Filter< 1 %
Document vector< 1 %Strings To Document< 1 %- Weka Cluster Assigner (3.7)< 1 %
- Weka Predictor (3.7)< 1 %
- R to Table< 1 %
- Moving Average< 1 %
- String to Date/Time (legacy)< 1 %
- XPath< 1 %
- Fingerprints< 1 %
- RDKit Substructure Counter< 1 %
- Coordinate to Latitude/Longitude< 1 %
- Frequency Domain Features (FDF)< 1 %
- Time Domain Features (TDF)< 1 %
- Duplicate Filter< 1 %
- Vector Distance (1-D)< 1 %
- Shapefile Point Reader< 1 %
- Normalize Plates (NPI)< 1 %
- Parameter Mutual Information< 1 %
- Image to Table< 1 %
- ARFF Reader< 1 %
Database Connection Table Reader< 1 %Naive Bayes Predictor< 1 %- MultiLayerPerceptron Predictor< 1 %
- Linear Regression Learner< 1 %
- Logistic Regression Predictor< 1 %
Regression Predictor< 1 %- SMOTE< 1 %
- PCA< 1 %
Random Forest Learner< 1 %- Tree Ensemble Learner (Regression)< 1 %
- Random Forest Learner< 1 %
- Case Converter< 1 %
Cell Replacer< 1 %Cell Splitter< 1 %- One to Many< 1 %
- Table Validator< 1 %
- Duplicate Row Filter< 1 %
- Nominal Value Row Filter< 1 %
- Normalizer (Apply)< 1 %
- Partitioning< 1 %
- Normalizer (PMML)< 1 %
- Shuffle< 1 %
- Numeric Outliers< 1 %
- Conditional Box Plot (legacy)< 1 %
- HiLite Table (legacy)< 1 %
- Extract Color< 1 %
- Size Manager< 1 %
- Spark Scorer< 1 %
- DB Query Reader< 1 %
- Random Number Assigner< 1 %
- Mahalanobis Distance< 1 %
- Numeric Distances< 1 %
- DL4J Feedforward Predictor (Regression) (legacy)< 1 %
- External Tool< 1 %
- Java Edit Variable (simple)< 1 %
- Spark Line Appender< 1 %
- Term Co-Occurrence Counter< 1 %
- Chi-Square Keyword Extractor< 1 %
- Keygraph Keyword Extractor< 1 %
- String Matcher< 1 %
- Sentence Extractor< 1 %
- String to Term< 1 %
- Tags to String< 1 %
- Term to String< 1 %
- File Upload (legacy)< 1 %
- Generic JavaScript View (JavaScript)< 1 %
Simple Table View (JavaScript)< 1 %- Median Filter< 1 %
- Image to Labeling< 1 %
MongoDB Reader< 1 %- Incidence Matrix< 1 %
- Parameter Optimization Loop End< 1 %
Python Script (1⇒2)< 1 %- Python Source (legacy)< 1 %
- GET Request< 1 %
- Date&Time Difference< 1 %
- Legacy Date&Time to Date&Time< 1 %
- String to Date&Time< 1 %
- Time Difference (legacy)< 1 %
- Date Field Extractor (legacy)< 1 %
- Time Field Extractor (legacy)< 1 %
- RDKit Descriptor Calculation< 1 %
RDKit Fingerprint Reader< 1 %- Latitude/Longitude to Coordinate< 1 %
- Joiner< 1 %
- Column Filter (legacy)< 1 %
- Table Editor (JavaScript)< 1 %
Views
- Heat Map
- Heat Map of the input data.
Workflows
01_Example_for_a_Data_Mining_WebPortalKNIME Hub- 01_Example_for_a_Data_Mining_WebPortalKNIME Hub
- 01_Example_for_a_Data_Mining_WebPortalKNIME Hub
- 01_Preprocessing_Time_Alignment_and_VisualizationKNIME Hub
- 01_Preprocessing_Time_Alignment_and_VisualizationKNIME Hub
- Show all 24 workflows
Links
- No links available
Developers
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