def _get_data():
data = du.load_csv(__file__, 'Mroz.csv', sep=',')
data['lfp'] = data['lfp'] == 'yes'
data['wc'] = data['wc'] == 'yes'
data['hc'] = data['hc'] == 'yes'
data = du.strip_column_names(data)
return data
def _get_data():
data = du.load_csv(__file__, 'organ_donation.csv', sep=',')
data = du.strip_column_names(data)
data['Quarter_Num'] = 1
data.loc[data['Quarter'] == 'Q12011', 'Quarter_Num'] = 2
data.loc[data['Quarter'] == 'Q22011', 'Quarter_Num'] = 3
data.loc[data['Quarter'] == 'Q32011', 'Quarter_Num'] = 4
data.loc[data['Quarter'] == 'Q42011', 'Quarter_Num'] = 5
data.loc[data['Quarter'] == 'Q12012', 'Quarter_Num'] = 6
return data
def _get_data():
filepath = dirname(abspath(__file__))
filename = join(filepath, 'texas.dta')
data = read_stata(filename)
data = du.strip_column_names(data)
return data
def _get_data():
filepath = dirname(abspath(__file__))
filename = join(filepath, 'training_bias_reduction.dta')
data = read_stata(filename)
data = du.strip_column_names(data)
return data
def _get_data():
data = du.load_csv(__file__, 'spector.csv', sep='\s')
data = du.strip_column_names(data)
data = data.iloc[:, [1, 2, 3, 4]]
return data.astype(float)
def _get_data():
data = du.load_csv(__file__, 'anes96.csv', sep='\s')
data = du.strip_column_names(data)
data['logpopul'] = log(data['popul'] + .1)
return data.astype(float)
def _get_data():
data = du.load_csv(__file__, 'Government_Transfers_RDD_Data.csv', sep=',')
data = du.strip_column_names(data)
return data
def _get_data():
data = du.load_csv(__file__, 'spector.csv', sep='\s')
data = du.strip_column_names(data)
data = data.iloc[:, [1, 2, 3, 4]]
return data.astype(float)
def _get_data():
data = du.load_csv(__file__, 'black_politicians.csv', sep=',')
data = du.strip_column_names(data)
return data
def _get_data():
data = du.load_csv(__file__, 'fetter_mortgages.csv', sep=',')
data = du.strip_column_names(data)
return data
def _get_data():
data = du.load_csv(__file__, 'restaurant_data.csv', sep=',')
data = du.strip_column_names(data)
return data
def _get_data():
data = du.load_csv(__file__, 'Cai_2015.csv', sep=',')
data = du.strip_column_names(data)
return data
def _get_data():
data = du.load_csv(__file__, 'gapminder.csv', sep=',')
data = du.strip_column_names(data)
return data
def _get_data():
filepath = dirname(abspath(__file__))
filename = join(filepath, 'close_elections_lmb.dta')
data = read_stata(filename)
data = du.strip_column_names(data)
return data
