What is the result of converting a text string that represents a number into a numerical value?

What is the result of converting a text string that represents a number into a numerical value?

• A. Integration
• B. Rounding
• C. Value conversion
• D. Type coercion

Answer: (D)

The process of converting a text string that represents a number into a numerical value is referred to as type coercion. This occurs in programming when a value from one data type, such as a string, is automatically or manually converted into another data type, such as a number. In this context, when a string containing numerical characters (like "123") is converted to an integer or float, the programming language coerces the type of the string into a number format that can be utilized for mathematical operations. Type coercion is an essential concept in data analytics because it allows for the integration and manipulation of different data types, facilitating calculations and analyses that require consistency in data types. Understanding this conversion process is crucial when cleaning and preparing data for in-depth analysis, ensuring that numerical computations can be accurately executed without errors or misinterpretation arising from incorrect data types.

The process of converting a text string that represents a number into a numerical value is referred to as type coercion. This occurs in programming when a value from one data type, such as a string, is automatically or manually converted into another data type, such as a number. In this context, when a string containing numerical characters (like "123") is converted to an integer or float, the programming language coerces the type of the string into a number format that can be utilized for mathematical operations.

Type coercion is an essential concept in data analytics because it allows for the integration and manipulation of different data types, facilitating calculations and analyses that require consistency in data types. Understanding this conversion process is crucial when cleaning and preparing data for in-depth analysis, ensuring that numerical computations can be accurately executed without errors or misinterpretation arising from incorrect data types.