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Group3_​Composite_​View

Group 3 Composite View

Task for Group 3 in KNIME Data Science Learnathon
- Apply a model to deployment data
- Assign colors to data based on the delay status
- Visualize the relationships between two features in a scatter plot
- Show data in an interactive table
- Create a widget to filter the data in a composite view and on a KNIME WebPortal page
- Encapsulate nodes into a component

Group 3. Deployment Challenge: Build a Composite Interactive Dashboard Visible in the Component View as well as in a WebPortalGoal: Predict departure delay using the flight data and an existing model. Display flight statistics in a composite view.Datasets: In data/1_Input/Group3, you'll find the deployment.table file, which contains flight and weather information and the BestModel.model file, which contains a random forestmodel. Suggested Steps: - Read the data deployment.table and the random forest model BestModel.model available in data/1_Input/Group3 (Table Reader + Model Reader nodes)- Create a title "Flight Statistics" for the output view using HTML syntax (Text Output Widget node)- Apply the model to the deployment data (Random Forest Predictor node)- Create a range slider to select the day of the month in the composite view (Interactive Range Slider Filter Widget node)- Assign a color to the flights according to their departure delay status (Color Manager node)- Visualize the relationship between two features, e.g. air time and arrival delay (Scatter Plot node)- Show other flight statistics in an interactive table (Table View node)- Encapsulate the nodes into a component and open the interactive view.- Open the component and edit the layout of the elements in the composite view by clicking the rightmost button in the toolbar.- Deploy the workflow to KNIME server and execute it on the web portal.Reference workflow is available on the EXAMPLES Server at: 50_Applications/27_Deployment_Options/04_Model_Deployment_dashboard_WebPortalAnd on KNIME Hub at:https://kni.me/w/sbVMY1UBXZ4WNYro Group 3. Deployment Challenge: Build a Composite Interactive Dashboard Visible in the Component View as well as in a WebPortalGoal: Predict departure delay using the flight data and an existing model. Display flight statistics in a composite view.Datasets: In data/1_Input/Group3, you'll find the deployment.table file, which contains flight and weather information and the BestModel.model file, which contains a random forestmodel. Suggested Steps: - Read the data deployment.table and the random forest model BestModel.model available in data/1_Input/Group3 (Table Reader + Model Reader nodes)- Create a title "Flight Statistics" for the output view using HTML syntax (Text Output Widget node)- Apply the model to the deployment data (Random Forest Predictor node)- Create a range slider to select the day of the month in the composite view (Interactive Range Slider Filter Widget node)- Assign a color to the flights according to their departure delay status (Color Manager node)- Visualize the relationship between two features, e.g. air time and arrival delay (Scatter Plot node)- Show other flight statistics in an interactive table (Table View node)- Encapsulate the nodes into a component and open the interactive view.- Open the component and edit the layout of the elements in the composite view by clicking the rightmost button in the toolbar.- Deploy the workflow to KNIME server and execute it on the web portal.Reference workflow is available on the EXAMPLES Server at: 50_Applications/27_Deployment_Options/04_Model_Deployment_dashboard_WebPortalAnd on KNIME Hub at:https://kni.me/w/sbVMY1UBXZ4WNYro

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To use this workflow in KNIME, download it from the below URL and open it in KNIME:

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Created by: Vincenzo
Created at: 2017-08-23
On NodePit since: 2024-01-22
Last update: 2024-11-23
Created with KNIME version: v4.0.0
Tags: DeploymentPredictionModelComposite ViewWidgetInteractivityKNIME WebPortalJavaScriptVisualizationComponent

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