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03_​Discrete_​Distribution

This workflow takes in data where numeric columns are chosen to visualise the desired discrete probability distribution.

It supports 4 different distributions - Geometric, Poisson, Binomial and Negatie Binomial, and plots the selected prob. distributions.

The configuration window allows to select the discrete distribuition along with the input colomn(s) to fit the distribution, as well as columns containing p parameters and lambda values.





Discrete Probability DistributionThis workflow takes in data where numeric columns are chosen to visualise the desireddiscrete probability distribution.This component produces a plot of the selected discrete probability distributions alongwith the probability values. It supports 4 different distributions - Geometric, Poisson,Binomial and Negatie Binomial, and plots the selected prob. distributions. Download the dataset from: https://www.kaggle.com/datasets/mohamedhanyyy/top-football-leagues-scorers (check the workflow Description for a clickable link) compute p parametersand lambda values Data Preprocessing CSV Reader Discrete ProbabilityDistribution Discrete Probability DistributionThis workflow takes in data where numeric columns are chosen to visualise the desireddiscrete probability distribution.This component produces a plot of the selected discrete probability distributions alongwith the probability values. It supports 4 different distributions - Geometric, Poisson,Binomial and Negatie Binomial, and plots the selected prob. distributions. Download the dataset from: https://www.kaggle.com/datasets/mohamedhanyyy/top-football-leagues-scorers (check the workflow Description for a clickable link) compute p parametersand lambda values Data Preprocessing CSV Reader Discrete ProbabilityDistribution

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