List the stages of the data processing lifecycle.

The stages of the data processing lifecycle encompass a systematic approach that outlines how data is gathered, refined, analyzed, and interpreted to generate meaningful insights. The correct answer includes four key stages: data collection, data cleaning, data analysis, and data interpretation.

Data collection is the fundamental first step, involving the gathering of raw data from various sources to ensure that there is sufficient information for analysis. Following this, data cleaning is essential as it involves the identification and rectification of errors or inconsistencies in the data. This step ensures the quality and reliability of the data being analyzed.

Once the data is cleaned, the next stage is data analysis. This is where various techniques and tools are applied to examine the data, revealing patterns, trends, and correlations that may not have been immediately apparent. The analysis provides the foundation for drawing conclusions.

Finally, data interpretation involves translating the results of the analysis into actionable insights or recommendations. This stage is crucial for stakeholders to make informed decisions based on the processed data.

The other options present stages or concepts that do not accurately represent the comprehensive stages of the data processing lifecycle. They may address certain aspects of data handling but do not encompass the essential workflow from collection to interpretation.