Final answer:
Extracting data based on conditions can be performed using SQL for databases, programming libraries like pandas for Python, or tools like ETL applications. Functions and filtering options in programs such as Excel also facilitate this task.
Step-by-step explanation:
What helps to extract data using some condition? The task of extracting data using some condition can be achieved through the use of a query in a database management system or by applying filters in data processing software. For instance, if you are working with a relational database, you would use a language like SQL (Structured Query Language) to write a query that specifies the condition for which data should be retrieved. In the context of programming, data extraction conditioned upon specific criteria can be accomplished using various programming languages that include functions or libraries tailored for data manipulation, such as Python's pandas library.
If you're dealing with spreadsheet software like Microsoft Excel, you can use functions or filtering options to extract subsets of data that meet certain criteria. Additionally, there are many software tools and applications designed specifically for data extraction and analysis, like ETL (Extract, Transform, Load) tools, which are used for gathering data from various sources, applying a set of conditions, and then loading it into a target system for analysis.