Organized in rows and columns

Organized in rows and columns

• A. Unstructured Data
• B. Time Series
• C. Structured Data
• D. Cross-sectional data

Answer: (C)

Data organized in rows and columns is structured data. In this format, a table holds observations as rows and attributes as columns, making it easy to index, filter, and run quantitative analyses. For example, a table of customers might have each row for a customer and columns for age, income, and credit score. This tabular arrangement is precisely what defines structured data and supports straightforward use with relational databases and many analytics tools. Unstructured data lacks a predefined schema (think emails, PDFs, images, or free text). Time series focuses on data points ordered by time, often looking at how a single variable changes over time. Cross-sectional data refers to observations at one point in time across multiple units, which can be stored in rows and columns but describes the sampling snapshot rather than the data's organized format.

Data organized in rows and columns is structured data. In this format, a table holds observations as rows and attributes as columns, making it easy to index, filter, and run quantitative analyses. For example, a table of customers might have each row for a customer and columns for age, income, and credit score. This tabular arrangement is precisely what defines structured data and supports straightforward use with relational databases and many analytics tools.

Unstructured data lacks a predefined schema (think emails, PDFs, images, or free text). Time series focuses on data points ordered by time, often looking at how a single variable changes over time. Cross-sectional data refers to observations at one point in time across multiple units, which can be stored in rows and columns but describes the sampling snapshot rather than the data's organized format.