Google Data Analytics Professional Certification Practice Test

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Prepare for your Google Data Analytics exam. Practice with comprehensive questions and descriptive explanations. Be exam-ready!

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Which data type is measured and can have almost any numeric value?

  1. Nominal data

  2. Continuous data

  3. Ordinal data

  4. Unstructured data

The correct answer is: Continuous data

Continuous data is characterized by its ability to take on any value within a given range, making it highly versatile for measurement purposes. This type of data can represent measurements such as height, weight, temperature, or any other quantities where values can vary smoothly and can include fractions or decimals. For instance, if you measure the height of a group of people, the heights might be 165.5 cm, 170.1 cm, and so forth—demonstrating that continuous data can encompass a wide array of numeric values. Nominal data refers to categorical variables that do not have an inherent order, such as types of fruit or colors. Ordinal data involves order but does not specify the distance between values, such as rankings in a competition. Finally, unstructured data refers to information that does not have a predefined structure or easily searchable format, like text or multimedia content. Continuous data stands out because it allows for detailed quantitative analysis, making it essential in various areas of data analytics.