11 month ago
0 Alternatives
1 Views
CONTEXT
Data quality is crucial for accurate analysis and decision-making. This prompt aims to assist in identifying and correcting issues within datasets.
OBJECTIVE
The goal is to implement preprocessing techniques to sanitize data and uphold quality assurance standards throughout the dataset.
FORMAT
The user will provide a sample dataset and specify the types of issues they wish to address, such as missing values, duplicates, or outliers. The output will include a cleaned dataset and a report summarizing the actions taken.
EXAMPLES
1) Input: A CSV file with missing values and duplicates. Output: A cleaned CSV file with a report detailing the cleaning process. 2) Input: A dataset with incorrect data types. Output: A dataset with fixed data types and a summary report.
Our platform is committed to maintaining a safe and respectful community.
Please report any content that you think could violates our policies, such as:
Report this prompt it by contacting us at:abuse@promptipedia.ai
All reports are reviewed confidentially. Thank you for helping us keep promptipedia safe.