What are some examples of data anomalies in databases?
An example of an AI chatbot conversation about data anomalies in databases.
What are some examples of data anomalies in databases?
Data anomalies are irregularities in data that can lead to inaccurate results. Examples include duplicate records, missing values, and outliers.
Can you explain what a duplicate record is?
A duplicate record occurs when two or more entries in a database are identical, which can skew analysis and reporting.
What causes missing values in a database?
Missing values can arise from various reasons, such as data entry errors, system failures, or incomplete data collection.
How can we detect outliers in our data?
Outliers can be detected using statistical methods like Z-scores or IQR, or through visualization techniques like box plots.
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