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09_​DataVisualization_​AirlineDataset (Original)

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Data Visualization on Airline Dataset

KNIME Analytics Platform offers a number of Javascript based nodes for visual investigation, including some classic charts - like the bar chart or the scatter plot – and some more innovative charts –like the sunburst chart or the network graph.

All of those views are highly interactive, allowing you to change the observation dimension, select and isolate records, edit labels and legend, and more. All those Javascript based nodes can be assembled together in a wrapped metanode to produce a composite view. Graphical elements of the composite view can be combined with controlling elements, such as a slider, to make the whole interactivity experience smoother and faster.

If you also have access to a KNIME server, launching the workflow from the WebPortal displays the same composite view onto a web page.

Right click the components and select "Execute and Open Views".
To save your in-view interaction use "Apply" and "Close" in the View lower right corner.
To open a component: Right click > Component > Open

URL: Data Visualization & Interactive Data Exploration with KNIME https://youtu.be/ELqZ1NjQffg
URL: Source: stat-computing.org - Airline Dataset http://stat-computing.org/dataexpo/2009/the-data.html
URL: knime.com - KNIME WebPortal https://www.knime.com/knime-software/knime-webportal

Airline data set- only flights from one origin- remove cancelled flights- DepDelay = "delay" if > 15min Visual Investigation - Charts - Interactivity - your own graphic Data Preparation This workflow implements a web-based application as a sequence of components. Interact with each component in sequence to run the application. In this application you can find a number ofvisualization JavaScript nodes used within the components. airport codes2007 flights reduced dataset 1,548,850 rows (1.5 milions)Table Creator 5. Your own JS Select Pars 2. Charts & Plots Prepare for JS 1. Basics Prepare for Basics 3. ScatterPlots + Tables color & sample Prepare for Chart Prepare for Plots Prepare for //Coordinates Prepare Network Year/Month 4. Graph & //Coordinates File Reader(deprecated) Airline data set- only flights from one origin- remove cancelled flights- DepDelay = "delay" if > 15min Visual Investigation - Charts - Interactivity - your own graphic Data Preparation This workflow implements a web-based application as a sequence of components. Interact with each component in sequence to run the application. In this application you can find a number ofvisualization JavaScript nodes used within the components. airport codes2007 flights reduced dataset 1,548,850 rows (1.5 milions)Table Creator 5. Your own JS Select Pars 2. Charts & Plots Prepare for JS 1. Basics Prepare for Basics 3. ScatterPlots + Tables color & sample Prepare for Chart Prepare for Plots Prepare for //Coordinates Prepare Network Year/Month 4. Graph & //Coordinates File Reader(deprecated)

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

Download Workflow
Created by: rosy
Created at: 2015-10-05
On NodePit since: 2023-11-28
Last update: 2024-12-17
Created with KNIME version: v5.1.2
Tags: data visualizationJavascriptWebPortalcomposite viewsunburst chartscatter plotnetwork viewergraphsliderquickformfree Javascriptguided analytics

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