Data Cleaning and Preparation
This prompt focuses on techniques and considerations for preparing datasets for analysis or machine learning.
11 month ago
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CONTEXT
Data cleaning and preparation are essential steps in the data science workflow as they significantly influence the results of subsequent analyses.
OBJECTIVE
The goal is to outline best practices and procedures for cleaning and preparing data for analysis.
FORMAT
Provide a detailed guide that includes common data cleaning techniques, tools that can be utilized, and examples of issues that can arise during data preparation.
EXAMPLES
Include scenarios such as handling missing values, detecting and removing duplicates, and transforming variables for better analysis.
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