What are the common types of data errors?
An example of an AI chatbot conversation about common types of data errors.
What are the common types of data errors I should be aware of?
Common types of data errors include missing data, duplicate entries, incorrect formatting, and outliers.
Can you explain what missing data means?
Missing data refers to instances where no value is stored for a variable in a dataset, which can lead to biased results.
What are duplicate entries and why are they a problem?
Duplicate entries occur when the same data is recorded multiple times, which can skew analysis and lead to incorrect conclusions.
How can I prevent these errors in my dataset?
You can prevent data errors by implementing validation rules, regular audits, and using data cleaning tools.
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