61 lines
1.6 KiB
Python
61 lines
1.6 KiB
Python
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"""Stack loss data"""
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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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Brownlee, K. A. (1965), "Statistical Theory and Methodology in
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Science and Engineering", 2nd edition, New York:Wiley.
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"""
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DESCRSHORT = """Stack loss plant data of Brownlee (1965)"""
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DESCRLONG = """The stack loss plant data of Brownlee (1965) contains
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21 days of measurements from a plant's oxidation of ammonia to nitric acid.
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The nitric oxide pollutants are captured in an absorption tower."""
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NOTE = """::
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Number of Observations - 21
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Number of Variables - 4
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Variable name definitions::
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STACKLOSS - 10 times the percentage of ammonia going into the plant
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that escapes from the absoroption column
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AIRFLOW - Rate of operation of the plant
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WATERTEMP - Cooling water temperature in the absorption tower
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ACIDCONC - Acid concentration of circulating acid minus 50 times 10.
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"""
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def load():
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"""
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Load the stack loss data and returns a Dataset class instance.
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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 load_pandas():
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"""
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Load the stack loss data and returns a Dataset class instance.
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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=0)
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def _get_data():
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return du.load_csv(__file__, 'stackloss.csv').astype(float)
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