Step-by-step explanation:
The most common types of data are:
1. Numerical data: This type of data consists of numbers and can be further divided into two subtypes:
- Discrete data: This is data that can only take on specific values, such as the number of children in a family. These values are typically integers and there are no values in between them.
- Continuous data: This is data that can take on any value within a range, such as the height of a person. These values can be decimals and there are an infinite number of possible values between any two values.
2. Categorical data: This type of data consists of categories or labels, and can be further divided into two subtypes:
- Nominal data: This is data where the categories or labels have no inherent order or ranking, such as the color of a car.
- Ordinal data: This is data where the categories or labels have an inherent order or ranking, such as the size of a t-shirt (small, medium, large).
3. Time-series data: This is data that is collected over time, such as stock prices or weather data. This type of data is typically numerical, but can also be categorical.
4. Text data: This is data that consists of written or spoken words, such as customer reviews or social media posts. This type of data is typically analyzed using natural language processing techniques.