JKISeason3-23_tark
Level: Easy to Medium
Description: You are a social scientist who needs to create some synthetic data for an imaginary population consisting of 1000 people, including attributes age, height, and weight. Start by generating a Gaussian age distribution using a mean of 40 and a standard deviation of 10, then bin people into four age groups: 'Children', 'Young Adults', 'Adults', and 'Seniors’. For each group, generate heights using a beta distribution with realistic parameters. Categorize heights into three groups: ‘< 160cm', ‘> 180', and 'rest’. Based on the binned height information, generate weights using a gamma distribution that accurately models weight distributions per age group. Visualize the relationships and identify patterns and correlations within this synthetic population.
Author: Keerthan Shetty
URL: Just KNIME It https://www.knime.com/just-knime-it
URL: This Challenge Thread https://forum.knime.com/t/solutions-to-just-knime-it-challenge-23-season-3/83873
Nodes
- Math Formula4 ×
- Numeric Row Splitter4 ×
- Gamma Distributed Assigner3 ×
- Group Loop Start3 ×
- Histogram3 ×
- Show all 25 nodes
Extensions
- FeatureKNIME Base nodes
- FeatureKNIME Data Generation
- FeatureKNIME Javasnippet
- FeatureKNIME Math Expression (JEP)
- FeatureKNIME Views
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