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This notebook compares pandas and dplyr.
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Welcome back.
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This is Part 2 in the Practical Pandas Series, where I work through a data analysis problem from start to finish.
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This is the first post in a series where I’ll show how I use pandas on real-world datasets.
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Last time, we got to where we’d like to have started: One file per month, with each month laid out the same.
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In part 2 of this series, we set the stage to parse the data files themselves.
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Hadley Whickham wrote a famous paper (for a certain definition of famous) about the importance of tidy data when doing data analysis.
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As a graduate student, you read a lot of journal articles… a lot.
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Last time, we used Python to fetch some data from the Current Population Survey.
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The Current Population Survey is an important source of data for economists.