In which of the following step the missing values are addressed ?  A. Data Cleaning  B. Data Collection  C. Data Arrangement  D. Data Gathering

Step 1: Break Down the Problem

The question asks about the step in a data processing workflow that specifically addresses missing values. We need to analyze the options provided.

Step 2: Relevant Concepts

1. Data Cleaning: This involves preparing and correcting data to ensure it is accurate and usable. This step often includes handling missing values by either filling them in, removing them, or using statistical methods to infer them.
2. Data Collection: This refers to the process of gathering raw data. It doesn't tackle the issues related to missing data.
3. Data Arrangement: This involves organizing data into a structured format. It doesn’t directly address missing values.
4. Data Gathering: Similar to data collection, this refers to the act of collecting or obtaining data without addressing its integrity or completeness.

Step 3: Analysis and Detail

• Data Cleaning is explicitly designed to enhance the quality of the data. One critical aspect of this cleaning process is dealing with missing values, making it the step directly involved.

Step 4: Verify and Summarize

Given the definitions, it is clear that only one of the options explicitly deals with missing values. Both data collection and arrangement do not concern missing data, nor does data gathering.

Final Answer

A. Data Cleaning is the correct answer, as it specifically addresses missing values in the dataset.