Excel CARwash: Cleaning dirty data
Dirty data lurk everywhere: in text files, spreadsheets, databases and PDFs. We'll walk you through some examples of the most common types of dirty data, point out telltale signs of data illness and explain how you can whip data into shape using some simple tools and methods.
This session is good for: People with some experience working with data in columns and rows, in spreadsheets or database managers.
Jennifer Smith Richards has been a data reporter at the Tribune since 2015. Smith Richards previously covered schools and education for more than a decade at newspapers in Huntington, W.Va.; Utica, N.Y.; Savannah, Ga.; and Columbus, Ohio. Her work has touched on everything from sexual abuse in schools to police accountability to school choice. @jsmithrichards
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