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03_​Guided_​Visualization_​and_​Exploration

Guided Visualization and Exploration

Guided exploration provides a data scientist with insights into data at hand. Any dataset can be used. The data are automatically cleaned by removing columns with constant values and by identifying the correct data types of the columns. The relationships between and within columns are calculated and shown by charts in an interactive composite view, where columns can also be flagged. By default the flagged columns are excluded from the dataset. If any other action for the flagged columns is preferred, a new action can be defined by replacing the Reference Column Filter node. Guided visualization provides a business analyst with the most appropriate visualizations according to how many columns are selected and what is the data type of these columns. At maximum 3 columns can be selected. The supported data types are numeric, String, and Date&Time. If the column types were not identified correctly, they can be converted manually. The appropriate visualizations are shown in an interactive composite view, where the charts can be customized. The customized charts are downloadable in SVG format. More charts can easily be added to the nested Wrapped Metanodes that contain the appropriate charts for the possible combinations of columns.

Guided VisualizationThis workflow defines a fully automated web based application to select, customize anddownload a number of visualizations. The workflow was designed for business analysts toeasily create charts by applying their domain knowledge. Each of the wrapped metanodesoutputs a web page with which the business analyst can interact. The Process Step by Step1. Select the columns to visualize (maximum 3)2. Convert the domain of the columns (OPTIONAL)3. Customize the visualizations interactively4. Download the images of the customized charts Guided ExplorationThis workflow defines a fully automated web based application toshow relevant visualization iteration after iteration. The workflowwas designed for data scientist to easily create a dashboard andfind relationships between columns. The Process Step by Step1. Upload your data / Select one of the available datasets2. Inspect the visualizations in "Guided Exploration" WrappedMetanode3. Select at the bottom of the View the columns you would like toremove Data Source and Licenseadult.csv : archive.ics.uci.edu/ml/datasets/adultflights.csv : stat-computing.org/dataexpo/2009/the-data.htmlsales.csv : kaggle.com/kyanyoga/sample-sales-data remove columns Select Columns ReferenceColumn Filter IF Switch End IF Convert Domains Select Domains Pre-Processing Download Upload Customize Guided Exploration Guided VisualizationThis workflow defines a fully automated web based application to select, customize anddownload a number of visualizations. The workflow was designed for business analysts toeasily create charts by applying their domain knowledge. Each of the wrapped metanodesoutputs a web page with which the business analyst can interact. The Process Step by Step1. Select the columns to visualize (maximum 3)2. Convert the domain of the columns (OPTIONAL)3. Customize the visualizations interactively4. Download the images of the customized charts Guided ExplorationThis workflow defines a fully automated web based application toshow relevant visualization iteration after iteration. The workflowwas designed for data scientist to easily create a dashboard andfind relationships between columns. The Process Step by Step1. Upload your data / Select one of the available datasets2. Inspect the visualizations in "Guided Exploration" WrappedMetanode3. Select at the bottom of the View the columns you would like toremove Data Source and Licenseadult.csv : archive.ics.uci.edu/ml/datasets/adultflights.csv : stat-computing.org/dataexpo/2009/the-data.htmlsales.csv : kaggle.com/kyanyoga/sample-sales-data remove columns Select Columns ReferenceColumn Filter IF Switch End IF Convert Domains Select Domains Pre-Processing Download Upload Customize Guided Exploration

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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: Paolo
Created at: 2019-02-08
On NodePit since: 2019-07-12
Last update: 2024-04-25
Created with KNIME version: v4.4.0
Tags: guided visualizationguided analyticsguided explorationmachine learning automationJavaScriptinteractive viewcustomizationdata type conversionnested wrapped metanodeKNIME WebPortalCSSdata scientistbusiness analyst

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