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Explain the difference between cross-section and time-series data. Give an example of each of these two types of data.

Short Answer

Expert verified
Cross-sectional data is information collected at a single point in time, e.g., a survey of car brand preference in 2020. In contrast, time-series data is gathered over a sequence of time, for instance, the annual GDP growth rate of a country from 2000 to 2020.

Step by step solution

01

Understanding and Defining Types of Data: Cross-Sectional Data

Cross-sectional data refers to data gathered on different subjects, like people or companies, at a specific point in time. It's observed and collected at a single instance, most often to compare and contrast various elements in a sample. For instance, a survey of which car brand Americans prefer, collected in the year 2020, is an example of cross-sectional data.
02

Understanding and Defining Types of Data: Time-Series Data

On the other hand, time-series data is a type of data that's collected over a sequence or interval of time. This means they're observed, recorded, or gathered at multiple points in time. This type of data is used to observe and analyze trends and patterns over time. An example of this would be the GDP growth rate of a country recorded annually from 2000 to 2020.

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