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Fairly Draw Election Districts
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Commit
898974b5
authored
Apr 11, 2017
by
Andrew Friedman
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Description of Project:
In our project, we seek to apply the concept of the efficiency gap to
create an algorithm that will not only be able to analyze existing
districting plans but develop new, fairer districts. We plan to write a
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the one with the lowest efficiency gap to a map of the state.
Efficency Gap:
In their paper “Partisan Gerrymandering and the Efficiency Gap,”
Nicholas Stephanopoulos and Eric McGhee analyze the efficiency gap as
a new measure of the severity of gerrymandering. Simply put, the
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the legislature.
Notes about Commits:
The commits that say Anne Rogers were students committing from their
Virutal Machines.
Before Preceeding Please run:
git fetch - all
sudo pip3 install pyshp
Use the following link to download the census tract data and place it in a directory in read_shpaes called Census_tract
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algorithms directory:
algorithms.py contains all the functions for constructing district plans by utilizing
the efficiency gap
__name__=="__main__" Function works if no specialization is needed
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