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CollegeScorecard.CSV Description of Variables UNITED a unique identifier for the institution INS TNM Institution name CITY STABBER State postcode CONTROL 1 Public. 2 Private nonprofit. 3 Private for
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To fill out the description of variables, follow these steps:
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Start by identifying the variables that require a description.
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Understand the purpose and usage of each variable to provide an accurate description.
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Write a concise yet informative description that clearly explains the variable's meaning and relevance.
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Use appropriate terminology and be consistent with the naming conventions used in your codebase.
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Include any additional details or constraints that might be helpful for others to understand when working with the variable.
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Review and revise the descriptions periodically to keep them up to date with any changes in your code.

Who needs description of variables?

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The description of variables is beneficial for:
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- Other developers who will be working with the codebase, as it provides them with a better understanding of the variables in use.
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- Documentation purposes, to ensure clear and accurate documentation of the code.
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- Debugging and troubleshooting, as a well-written description can help in identifying and fixing issues.
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- Code maintainers who need to make changes or enhancements to the code in the future, as it helps them grasp the context and purpose of the variables.
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Description of variables refers to a structured representation of the different variables used in a study or project, detailing their meaning, type, and value. It helps in understanding how each variable contributes to the analysis.
Researchers, analysts, or organizations conducting studies or projects that involve data analysis are typically required to file a description of variables.
To fill out a description of variables, list each variable, provide a clear definition, specify the type (e.g., categorical, continuous), outline possible values, and explain the data source.
The purpose of the description of variables is to ensure clarity and consistency in data analysis, facilitating better understanding and interpretation of the results and findings.
The information that must be reported includes the variable name, definition, type, value range, units of measurement, and any relevant notes regarding the variable's source or context.
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