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02a. Histogram and Bar Chart

Exercise on comparison visualization tools
HistogramIlustrate number of observations of different Iris flavor characteristics in separatehistograms (histogram for each characteristics). Average of each feature for each Iris classDepict an average of different iris characteristics in a horizontal view. Assign colorsto each columnYou should assign colors by using Color Manager. You need to extract columnheaders before Sepal length 2 categories overviewDepict how many observations (rows) has sepal length long / short (long = abovemean, short = bellow mean). Before visualizing, use Math Formula followed by Rule Engine Read the Iris data HistogramIlustrate number of observations of different Iris flavor characteristics in separatehistograms (histogram for each characteristics). Average of each feature for each Iris classDepict an average of different iris characteristics in a horizontal view. Assign colorsto each columnYou should assign colors by using Color Manager. You need to extract columnheaders before Sepal length 2 categories overviewDepict how many observations (rows) has sepal length long / short (long = abovemean, short = bellow mean). Before visualizing, use Math Formula followed by Rule Engine Read the Iris data

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Created by: rb
Created at: 2017-03-01
On NodePit since: 2020-12-05
Last update: 2024-11-21
Created with KNIME version: v4.2.1
Tags: barbar chartbar graphbar plotdata visualizationcolor bar chartcolor managerJavaScripthistogramcomparisonfrequencyrule engineclasses

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