120 lines
3.6 KiB
Python
120 lines
3.6 KiB
Python
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"""American National Election Survey 1996"""
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from numpy import log
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from statsmodels.datasets import utils as du
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__docformat__ = 'restructuredtext'
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COPYRIGHT = """This is public domain."""
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TITLE = __doc__
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SOURCE = """
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http://www.electionstudies.org/
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The American National Election Studies.
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"""
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DESCRSHORT = """This data is a subset of the American National Election Studies of 1996."""
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DESCRLONG = DESCRSHORT
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NOTE = """::
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Number of observations - 944
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Number of variables - 10
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Variables name definitions::
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popul - Census place population in 1000s
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TVnews - Number of times per week that respondent watches TV news.
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PID - Party identification of respondent.
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0 - Strong Democrat
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1 - Weak Democrat
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2 - Independent-Democrat
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3 - Independent-Indpendent
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4 - Independent-Republican
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5 - Weak Republican
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6 - Strong Republican
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age : Age of respondent.
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educ - Education level of respondent
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1 - 1-8 grades
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2 - Some high school
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3 - High school graduate
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4 - Some college
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5 - College degree
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6 - Master's degree
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7 - PhD
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income - Income of household
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1 - None or less than $2,999
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2 - $3,000-$4,999
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3 - $5,000-$6,999
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4 - $7,000-$8,999
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5 - $9,000-$9,999
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6 - $10,000-$10,999
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7 - $11,000-$11,999
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8 - $12,000-$12,999
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9 - $13,000-$13,999
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10 - $14,000-$14.999
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11 - $15,000-$16,999
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12 - $17,000-$19,999
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13 - $20,000-$21,999
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14 - $22,000-$24,999
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15 - $25,000-$29,999
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16 - $30,000-$34,999
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17 - $35,000-$39,999
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18 - $40,000-$44,999
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19 - $45,000-$49,999
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20 - $50,000-$59,999
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21 - $60,000-$74,999
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22 - $75,000-89,999
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23 - $90,000-$104,999
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24 - $105,000 and over
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vote - Expected vote
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0 - Clinton
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1 - Dole
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The following 3 variables all take the values:
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1 - Extremely liberal
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2 - Liberal
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3 - Slightly liberal
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4 - Moderate
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5 - Slightly conservative
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6 - Conservative
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7 - Extremely Conservative
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selfLR - Respondent's self-reported political leanings from "Left"
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to "Right".
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ClinLR - Respondents impression of Bill Clinton's political
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leanings from "Left" to "Right".
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DoleLR - Respondents impression of Bob Dole's political leanings
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from "Left" to "Right".
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logpopul - log(popul + .1)
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"""
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def load_pandas():
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"""Load the anes96 data and returns a Dataset class.
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Returns
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-------
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Dataset
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See DATASET_PROPOSAL.txt for more information.
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"""
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data = _get_data()
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return du.process_pandas(data, endog_idx=5, exog_idx=[10, 2, 6, 7, 8])
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def load():
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"""Load the anes96 data and returns a Dataset class.
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Returns
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-------
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Dataset
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See DATASET_PROPOSAL.txt for more information.
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"""
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return load_pandas()
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def _get_data():
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data = du.load_csv(__file__, 'anes96.csv', sep=r'\s')
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data = du.strip_column_names(data)
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data['logpopul'] = log(data['popul'] + .1)
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return data.astype(float)
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