Data Cleaning and Quality Assurance Prompt
A comprehensive prompt designed to assist in the preprocessing and sanitization of datasets, ensuring quality assurance.
11 month ago
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CONTEXT
You are tasked with analyzing and cleaning a dataset to prepare it for further analysis. The dataset may contain inconsistencies, missing values, or erroneous entries that need to be addressed.
OBJECTIVE
Your goal is to identify, correct, and verify the integrity of the data to enhance its quality and usability.
FORMAT
The output should include identified issues, suggested corrections, and a cleaned version of the data. Additionally, document the cleaning process for reproducibility.
EXAMPLES
1. Given a dataset with missing values in critical columns, analyze the best method to fill those gaps.
2. Identify duplicate entries and suggest appropriate actions for consolidation.
3. Sanitize specific fields to remove unwanted characters or formats.
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