In the last blog, we talked about different types of data. Data, as we know, can be discrete or continuous. Discrete data is data that can take only countable values. Continuous data is data that can take any value, including decimal numbers.
While data in its raw form may seem unremarkable, its true value lies in its distribution. Think of a distribution as a visual storyteller, painting a picture of how the data is scattered across different values or ranges. These patterns, when deciphered, can unlock a wealth of insights and guide us towards informed decisions.
The most used distributions are mentioned below.
