Commonly we find different data sources with a shared character variable as key (for example city names). Frequetnly these character columns does not match due to mispeling/typos. In this post I am going to use the Levenshtein distance as a tool for pairing strings from two different data sources.

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In this post, I will present an application demonstrating the Adaptive Rejection Sampling method in pratice. This tool was created using the ‘shiny’ package and the script is available on my Github.

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