Andrew Plummer
Research Assistant at Bank of Canada
Expertise: Economics
Education: University of Toronto, Mississauga; University of Ottawa

Andrew Plummer is a research assistant at Bank of Canada, where he specializes in data science, statistics and finance. He has worked at Bank of Canada since 2021, and has written several articles on Python programming, data science and statistics. Plummer earned bachelor’s degrees in economics and political science at the University of Toronto Mississauga. He’s currently working toward his master’s degree in economics from the University of Ottawa.    

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box cox transformation target variable stacked boxes with line graph concept
Box-Cox transformation is a statistical technique that transforms your target variable so that it resembles a normal distribution. Here’s how to implement it in Python.