NodeColor Manager

Visualizer

Colors can be assigned for either nominal (possible values have to be available) or numeric columns (with lower and upper bounds). If these bounds are not available, a '?' is provided as a minimum and maximum value. The values are then computed during execute. If a column attribute is selected, the color can be changed with the color chooser.

Input ports

  1. Table Type: Data
    Table to which color should be applied

Output ports

  1. Table with Colors Type: Data
    Same table with color information appended to one attribute
  2. Color Settings Type: Color
    Color settings applied to the input table

  1. First_Project_ML

    djibrina-barry > LOCAL > First_Project_ML_HUB

  2. Using Jupyter from KNIME to embed documents

    Jupyter Python visualization exploration topic modeling database text mining ChEMBL
    Uses functionality provided in a Jupyter notebook to embed documents from a topic-space representation into 2D Euclidean…
    aajaradata > Using_Jupyter_from_KNIME_to_embed_documents

  3. Example of a simple Multi Layer Perceptron

    deeplearning machine learning classification neural networks mlp perceptron
    This workflow shows how to create an MLP with a softmax layer for classification.
    aajaradata > 03_Network_Example_Of_A_Simple_MLP

  4. First_Project_ML

    djibrina-barry > LOCAL > ML > First_Project_ML

  5. Impact of Regularization in case of Logistic Regression

    regularization gauss laplace L1 L2 logistic regression data science machine learning
    The goal of this workflow is to analyze the impact of different priors in case of the logistic regression. The workflow …
    kathrin > Regularized_Logistic_Regression > 08_Regularized_Logistic_Regression

  6. Plotly Examples

    adityatw17 > Plotly Examples

  7. 01_Guided_Analytics

    Having such a big competition on the market, companies face the problem of defining and implementing right pricing strat…
    mrameez > 01_Guided_Analytics

  8. Visual Analysis of Sales Data

    data access row filtering column filtering data visualization quickstart guide
    Solution to the workflow built in the Quickstart Guide. Contains a basic workflow with data reading, data preprocessing …
    baishikele_hw > Example Workflows > Basic Examples > Visual Analysis of Sales Data

  9. [Building Blocks] BB-211 Giffen Goods and Veblen Goods

    Both Giffen Goods and Veblen Goods violate the basic Law of Demand in microeconomics. As the Price of these Products inc…
    scientificstrategy > Building Blocks > BB-211 Giffen Goods and Veblen Goods v03

  10. Optimizing Classification Threshold Based on Profit

    classification model model evaluation profit cost accuracy classification threshold
    Train a classification model using the Linear Regression algorithm. Evaluate the class prediction by overall accuracy an…
    aajaradata > 02_Optimizing_Classification_Threshold_Based_on_Profit