What are some common data quality issues?
An example of an AI chatbot conversation about data quality issues in datasets.
What are some common data quality issues I should be aware of?
Common data quality issues include missing values, duplicates, inconsistent data formats, and outliers.
Can you explain how missing values can affect data analysis?
Missing values can lead to biased results, reduced statistical power, and can complicate data interpretation.
What strategies can I use to handle missing data?
You can handle missing data by using imputation methods, removing incomplete records, or using algorithms that support missing values.
How do duplicates impact data quality?
Duplicates can skew analysis results, inflate metrics, and lead to incorrect conclusions.
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