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Data from public sources can often be inaccurate, leading to errors in analysis. It is important to have a strategy for identifying and correcting these errors. For example, when looking at the "address 2" field containing the street names of registered sex offenders, inconsistencies in referencing Church Street were found. Different variations such as "s. Church St.," "South Church Street," or "South Church" were identified, highlighting the need for thorough error checking and standardization in data processing.
