A data analyst is reviewing the results of a survey. Respondents used the terms "avg," "average," and "avg." throughout the survey in a response for the word "average." Because of this, the analyst…

Data attribute limitations refer to constraints on data types or sizes, which is not the primary reason for standardizing text entries.

Data accuracy is improved by standardizing "avg" and "avg." to "average," ensuring that the data correctly and precisely reflects the intended meaning and avoids misinterpretation.

Data completeness refers to having all required data present, which is not the issue being addressed by standardizing existing text entries.

Data manipulation is a general term for altering data, but it doesn't specify the reason for the change, which is what the question asks for.

Data blending involves combining data from multiple sources, which is not what is happening when standardizing values within a single survey's responses.

Data consistency is achieved by unifying different representations of the same concept ("avg," "average," "avg.") into a single standard form, making the data uniform and comparable.