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Dirty data lurk everywhere: in text files, spreadsheets, databases, and PDFs. Dirty data stand between you and a good story. Sometimes you can't import a text file into a database manager without errors, or you can't sort a spreadsheet like you want to. We'll talk about some of the most common types of dirty data, some things to look out for, and some good tricks for dealing with those problems.

We'll follow this panel up with two hands-on sessions later in the conference. In the first session, we'll walk you through some common dirty data and show you how to clean it up yourself. The second hands-on class is an open lab. In it, we invite you to bring in your dirty data. We'll take their temperature, check their blood pressure, and help you figure out how to turn them into healthy data, ready for analysis.