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In this tutorial, we learn how to replace or modify values in a pandas data frame using a dataset from the New York City government. The data frame includes job IDs, titles, agencies, and salary ranges. To replace missing values, use the data fillna function and specify the desired replacement value. Different methods can be used to identify missing values, as discussed in another video.