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How to Do Simple Data Cleaning and Visualization

<p><strong>How to Do Simple Data Cleaning and Visualization</strong></p><p>This workflow shows how to clean a dataset to handle missing values, extract relevant fields and plot the data.</p>

How to Do Simple Data Cleaning and Visualization

This workflow shows how to clean a dataset to handle missing values, extract relevant fields and plot the data.

Worldbankcountries and regiondataset
Example Data Reader
Filter out columnwith >70% missingvalues
Missing Value Column Filter
Filter out rows withmissing values
Row Filter
Handle missingvalues
Expression
Extract only yearfrom year-based columnsand impute missing values
Expression
Incomedistribution
Pie Chart
Years tostring
Number to String
Sort yearascending
Sorter
Government accounting distribution
Pie Chart
Count of populationcensuses per year
Bar Chart

Nodes

Extensions

Links

Download

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

Download Workflow
Created by: Roberto.Cadili
Created at: 2026-01-13
On NodePit since: 2026-01-22
Last update: 2026-01-22
Created with KNIME version: v5.9.0
Tags: ETLData cleaningData transformationDatavizBasic how-to

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