What is a Data?
Data is a collection of facts such as numbers, words, measurements, observations, or simply descriptions.
Types of Data
The data can be Qualitative or Quantitative based on the properties.
Quantitative data refers to data that is numerical and can be measured, such as weight, height, or income. This type of data is often analyzed using statistical methods to identify patterns and make predictions.
Quantitative data can be a Discrete or a Continuous data.
Discrete Data : -
Discrete data refers to data that can only take certain specific values, rather than any value within a range. In other words, it has a finite number of separate values, with clear gaps between them. Examples of discrete data include counts (e.g. the number of apples in a basket), categories (e.g. gender: male or female), and binary variables (e.g. true/false).
Continuous data refers to data that can take any value within a specific range, rather than just specific, separate values. In other words, it can take on an infinite number of values within a given range. Examples of continuous data include measurements (e.g. height, weight, temperature), and time (e.g. a person's age in years).
Qualitative data, on the other hand, refers to non-numerical information such as opinions, attitudes, and perceptions. This type of data is often collected through open-ended questions or observation, and is analyzed using qualitative research methods to understand people's experiences, attitudes, and beliefs.
In summary, quantitative data deals with numbers and statistics, while qualitative data deals with non-numerical information and understanding people's experiences and attitudes.
