Understanding Data Types: The Foundation of Effective Data Analysis

?? Types of Data in Data Analysis: Understanding the Basics ??

In data analysis, data is categorized into different types to make it easier to work with and interpret. Here’s a quick breakdown of the key types:

• Qualitative (Categorical) Data: Non-numerical data that can be divided into categories, such as gender, race, or favorite color.
• Quantitative (Numerical) Data: Data that can be measured and expressed numerically:
• Discrete Data: Data that can only take certain values (e.g., the number of children in a household).
• Continuous Data: Data that can take any value within a given range (e.g., temperature, height, or income).

Understanding the different types of data is crucial for selecting the right analysis techniques and making informed decisions!

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