data cleaning

What are Common Data Cleaning Techniques?

There are several techniques used in data cleaning, including:
Removing Duplicates: Identifying and eliminating duplicate records to ensure data uniqueness.
Handling Missing Values: Addressing missing data through imputation or deletion.
Standardizing Data: Ensuring consistency in data formats, such as date formats and measurement units.
Validating Data: Checking for logical consistency and correctness of data entries.
Outlier Detection: Identifying and handling anomalous data points that may skew analysis.

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