Icon

03. Box Plot and Statistics

Statistics, data distribution, outliers and data normalization
Check the data distributionof the prices (column MEDV)Are there any outliers?Hint: use the box plot Check the values of the distribution for all columns and check ifthere are any missing values. See the basic statistics indicatorsHint: use the box plot and statistics nodes Remove rows including outliers of MEDV and check it. Hint: use the outliers node (to avoid all outliers K should be set up1), and check via box plot. Boston House pricesRead excel file boston house prices Normalize your data by using z-score. Hint: use the normalizer node and check the box plots andstatistics again (resulted standard deviation should be 1 for allcolumns) Check the data distributionof the prices (column MEDV)Are there any outliers?Hint: use the box plot Check the values of the distribution for all columns and check ifthere are any missing values. See the basic statistics indicatorsHint: use the box plot and statistics nodes Remove rows including outliers of MEDV and check it. Hint: use the outliers node (to avoid all outliers K should be set up1), and check via box plot. Boston House pricesRead excel file boston house prices Normalize your data by using z-score. Hint: use the normalizer node and check the box plots andstatistics again (resulted standard deviation should be 1 for allcolumns)

Nodes

  • No nodes found

Extensions

  • No modules found

Links

Download

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

Download Workflow
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: univariatevisualizationvisualizeunivariate analysisvisualize outliersvisualize distributionconditional box plotbox plotvarying box plotbox plotsJavaScriptboxplotdescriptive statisticsoutliersstatisticsnormalizationstandardizationscalerz-score

Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.

Try NodePit Runner!