"""Statewide Crime Data""" from statsmodels.datasets import utils as du __docformat__ = 'restructuredtext' COPYRIGHT = """Public domain.""" TITLE = """Statewide Crime Data 2009""" SOURCE = """ All data is for 2009 and was obtained from the American Statistical Abstracts except as indicated below. """ DESCRSHORT = """State crime data 2009""" DESCRLONG = DESCRSHORT #suggested notes NOTE = """:: Number of observations: 51 Number of variables: 8 Variable name definitions: state All 50 states plus DC. violent Rate of violent crimes / 100,000 population. Includes murder, forcible rape, robbery, and aggravated assault. Numbers for Illinois and Minnesota do not include forcible rapes. Footnote included with the American Statistical Abstract table reads: "The data collection methodology for the offense of forcible rape used by the Illinois and the Minnesota state Uniform Crime Reporting (UCR) Programs (with the exception of Rockford, Illinois, and Minneapolis and St. Paul, Minnesota) does not comply with national UCR guidelines. Consequently, their state figures for forcible rape and violent crime (of which forcible rape is a part) are not published in this table." murder Rate of murders / 100,000 population. hs_grad Percent of population having graduated from high school or higher. poverty % of individuals below the poverty line white Percent of population that is one race - white only. From 2009 American Community Survey single Calculated from 2009 1-year American Community Survey obtained obtained from Census. Variable is Male householder, no wife present, family household combined with Female householder, no husband present, family household, divided by the total number of Family households. urban % of population in Urbanized Areas as of 2010 Census. Urbanized Areas are area of 50,000 or more people.""" def load_pandas(): data = _get_data() return du.process_pandas(data, endog_idx=2, exog_idx=[7, 4, 3, 5], index_idx=0) def load(): """ Load the statecrime data and return a Dataset class instance. Returns ------- Dataset See DATASET_PROPOSAL.txt for more information. """ return load_pandas() def _get_data(): return du.load_csv(__file__, 'statecrime.csv')