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Types of data

Types of data 
Data can broadly be classified in two main categories:

1. Qualitative data 
* Descriptive: Do not include numbers or measurements. 
* Examples: colors, names, opinions, textures, smells, tastes, categories and descriptions. 

2. Quantitative data 
* Measurable: involve numbers and can be measured or counted. 
* Examples: height, weight, age, temperature, income, distance and test scores. 

Quantitative data can further be classified into: 
* Discrete data: Has a fixed number of values ​​or steps. 
*Examples: the number of cars in a parking lot, the number of students in a class, the number of votes in an election. 

* Continuous data: can take any value in a range, including decimal numbers. 
* Examples: height of a person, weight of an object, time needed to complete a task, temperature. 

Understanding the data type is essential to: 
* Data analysis: choose appropriate statistical methods and tools. 
* Data Visualization: Selecting appropriate graphics to represent data effectively. 
* Data storage: Define the necessary data structures and storage formats.


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