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Do a CSS transition and resolve promise when complete
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The dplyr package in R makes data wrangling significantly easier.
The beauty of dplyr is that, by design, the options available are limited.
Specifically, a set of key verbs form the core of the package.
Using these verbs you can solve a wide range of data problems effectively in a shorter timeframe.
Whilse transitioning to Python I have greatly missed the ease with which I can think through and solve problems using dplyr in R.
The purpose of this document is to demonstrate how to execute the key dplyr verbs when manipulating data using Python (with the pandas package).
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In 2002, the Help America Vote Act required (among other things) that states must maintain a "computerized statewide voter registration list". These lists (henceforth "voterfiles") contain information about every registered voter and their voting history.
But what about the secret ballot?
When people who have not worked with voterfile data before hear about voterfiles, their first response is almost always "But in my 8th grade civics class, I learned that a critical component of American democracy is the secret ballot! How can states have a list of how you vote?" Voterfiles do NOT include information about how an individual voted. They report whether an individual voted in a specific election.
What information do voterfiles contain?
The exact format and contents of a publicly available voterfile differ from state to state. At a minimum, a file will contain: