What is the process of identifying and correcting errors in data called?Select one:a.Samplingb.Filteringc.Normalizingd.Cleaning

Break Down the Problem

1. Identify the key terms in the question.
2. Determine the correct terminology related to data management.
3. Analyze the options provided.

Relevant Concepts

• The process of identifying and correcting errors in data is a crucial part of data management and data quality assurance.

Analysis and Detail

• a. Sampling: This refers to selecting a portion of data from a larger dataset for analysis, not correcting errors.
• b. Filtering: This involves removing or highlighting specific data points based on criteria, which does not specifically address error correction.
• c. Normalizing: This refers to adjusting values in the dataset to a common scale, which isn’t directly related to error identification and correction.
• d. Cleaning: This term specifically refers to the process of identifying and correcting errors and inconsistencies in data, ensuring the dataset is accurate and reliable.

Verify and Summarize

From the analysis, the term associated with identifying and correcting errors in data is “Cleaning.” This process is essential in maintaining the integrity and accuracy of data used for analysis.

Final Answer

d. Cleaning