# Uniform Distribution tutorial

**Uniform Distribution tutorial**, Welcome to the world of statistics and probability uniform distributions in Data science. In the previous section, we have learned about

**random variables in data science**and how it calculates. Now, we will talk about

**uniform distribution in data science**. Having knowledge of statistical models will be a strong benefit to the

**Data analyst**. Every time we start working on a new dataset, we need to first do exploratory data analysis (EDA) to get characteristics of features. Therefore, if we know with which distributions we are working, it is easy to make a decision about which model is best. In this tutorial, one can easily learn about different types of uniform distributions that are available with examples. Are you also dreaming to become certified in the

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## What is a Uniform Distribution in Data Science?

Uniform Distribution in data science is defined as a type of probability distribution where sets of outcomes that are nearly equal. Hence, the graph prepared out the outcome points of Probability Distribution forms a Rectangle kind of shape. Therefore, it is also known as**Rectangular Distribution.**

## Types of Uniform Distribution

### Discrete Random Uniform Distribution formula

It consists of discrete unique value. In other words, it has distinct variables.**Example:**Suppose we throw a die. Let X be the random variable denoting what number is thrown if we throw a die. P(X = 1) = 1/6 P(X = 2) = 1/6 etc In fact, P(X = x) = 1/6 for all x between 1 and 6. Hence we have a uniform distribution. Therefore, the uniform distribution variable is 1/6.