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Session_​02b_​charts_​demo_​distribution_​empty

Statistics, data distribution and data normalization
Box Plot - one box for one column (sepal length) Box Plot - conditional- Plot one box for each group identified by a categorical variable- sepal length for each class Box Plot - Multiple attributes shown- Plot multiple boxes simultaneously- see those four outliers Statistics and outliers treatmentStatistics:Numeric outlier: select all 4 columns, strategy: remove rowswith outliers Normalizer- normalize our data by using min max scaler, check the minand max values Violin Plot- one box for one column (sepal length) Iris Excel Reader Box Plot - one box for one column (sepal length) Box Plot - conditional- Plot one box for each group identified by a categorical variable- sepal length for each class Box Plot - Multiple attributes shown- Plot multiple boxes simultaneously- see those four outliers Statistics and outliers treatmentStatistics:Numeric outlier: select all 4 columns, strategy: remove rowswith outliers Normalizer- normalize our data by using min max scaler, check the minand max values Violin Plot- one box for one column (sepal length) Iris Excel Reader

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Created by: rb
Created at: 2017-03-01
On NodePit since: 2021-06-21
Last update: 2024-05-01
Created with KNIME version: v4.3.3
Tags: univariatevisualizationvisualizeunivariate analysisvisualize outliersvisualize distributionconditional box plotbox plotvarying box plotbox plotsJavaScriptboxplotdescriptive statisticsviolinplotlyJavaScriptdistributionnormalizationscaleroutliers

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