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09_​DataVisualization_​AirlineDataset

Data Visualization on Airline Dataset

KNIME Analytics Platform offers a few 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 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.

Airline data set http://stat-computing.org/dataexpo/2009/the-data.html - only flights from one origin- remove cancelled flights- DepDelay = "delay" if > 15min Visual Investigation - Charts - Interactivity - your own graphic DataPreparation Data Visualization on Airline DatasetKNIME Analytics Platform offers a few Javascript based nodes for visual investigation, including some classic charts - like the bar chart or thescatter plot – and some more innovative charts –like the sunburst chart or the network graph. All of those views are highly interactive, allowingto 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 thecomposite 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. airport codes2007 (reduced) 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 Airline data set http://stat-computing.org/dataexpo/2009/the-data.html - only flights from one origin- remove cancelled flights- DepDelay = "delay" if > 15min Visual Investigation - Charts - Interactivity - your own graphic DataPreparation Data Visualization on Airline DatasetKNIME Analytics Platform offers a few Javascript based nodes for visual investigation, including some classic charts - like the bar chart or thescatter plot – and some more innovative charts –like the sunburst chart or the network graph. All of those views are highly interactive, allowingto 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 thecomposite 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. airport codes2007 (reduced) 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

Nodes

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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: 2019-10-03
Last update: 2024-12-21
Created with KNIME version: v3.4.0
Tags: data visualization Javascript WebPortal composite view sunburst chart scatter plot network viewer graph slider quickform free Javascript

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