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title: record linkage in python: a comprehensive tutorial with code examples
introduction:
record linkage, also known as data matching or entity resolution, is the process of identifying and linking records from different data sources that refer to the same entity. this is a crucial step in data cleaning and integration tasks. in this tutorial, we will explore the record linkage process using python, focusing on practical examples and code snippets.
tools and libraries:
example dataset:
for this tutorial, we'll use two hypothetical datasets containing information about individuals. each dataset has columns such as 'name', 'dob' (date of birth), 'address', and 'phone number'. the goal is to link records across the datasets based on common attributes.
code example:
explanation:
note: adjust the comparison methods and thresholds based on the nature of your data.
conclusion:
record linkage is a powerful technique for integrating and cleaning datasets by identifying matching records across different sources. the recordlinkage library in python simplifies this process, offering flexibility and efficiency. utilize this tutorial as a starting point and customize the code according to your specific use case and datasets.
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