Data Types: First step into Data Analytics [2023 Update] #dataanalytics #datascientists #analytics

In general, data types in statistics are a group of individual data points. Statistics consists of two main types of Data.

Categorical Data Types
Numerical Data Types

In this section, we will be discussing each of the Data Types with the example from Cricket since I watch cricket the most and its kinds of intriguing for me. We will explain in detail below about each of the data types
Categorical Data:

Categorical data is a data type stored as groups or categories with the help of names or labels. There are two types of Categorical Data Type

Nominal: Datatypes with no proper order

Ordinal: Datatypes with proper order
Numerical Data:

Numerical data is a data type that represents values that are measured and put into a logical order. There are two types of Numerical Data Type

Discrete: Discrete Data types are the ones that take only certain values. Discrete Data Types cannot be measured but it can be counted

Continuous: Continuous Data types are the ones that are measured and hence it cannot be counted.

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