Data analysis involves examining and interpreting various types of data to gain insights and make informed decisions. There are several different types of data that can be used for analysis, each with its own characteristics and applications. Here are some of the main types of data:
1. Numerical Data: This type of data consists of quantitative values that can be measured or counted. It includes data such as sales figures, temperatures, stock prices, and customer ratings. Numerical data can be further categorized as discrete (whole numbers) or continuous (fractional or decimal values).
2. Categorical Data: Categorical data represents qualitative or descriptive information that falls into specific categories or groups. Examples include gender, occupation, product categories, or survey responses. Categorical data can be further classified as nominal (unordered categories) or ordinal (ordered categories).
3. Time Series Data: Time series data tracks the val....
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