Final answer:
The variety dimension of big data refers to the combination of structured and unstructured data types, which can include qualitative, quantitative continuous, and quantitative discrete data.
Step-by-step explanation:
The variety dimension of big data refers to the different types of data formats and sources. It's about managing the complexity of multiple data types and structures, from structured numeric data in traditional databases to unstructured text documents, emails, videos, audios, stock ticker data, and financial transactions. When we refer to the variety of big data, we imply a combination of c. structured data and unstructured data.
In the context of the question, bivariate data is used for analysis with two variables, whereas multivariate data involves many variables. When analyzing big data, statisticians and analysts encounter a wide range of data types, which can also include qualitative (categorical) data, quantitative continuous data, and quantitative discrete data. Being able to process and analyze this variety is crucial for extracting meaningful insights from big data.