Data Cleaning and Quality Assurance Prompt
A prompt designed for performing data preprocessing and sanitization tasks to ensure high-quality data.
11 month ago
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CONTEXT
You are tasked with cleaning and preprocessing a dataset to improve its quality for further analysis. This involves identifying and rectifying errors, removing duplicates, and ensuring consistency across the data.
OBJECTIVE
The goal is to prepare the dataset for analysis by ensuring that it is accurate, complete, and formatted correctly. You will perform tasks such as handling missing values, correcting data types, and eliminating outliers.
FORMAT
The output should include a clear summary of the cleaning process, the steps taken to sanitize the data, and any transformations applied. It can be presented in a structured format or as a detailed report.
EXAMPLES
- Remove duplicates from the dataset
- Normalize date formats to a standard format
- Fill missing values with the mean of the column
- Convert categorical variables to numeric representations.
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