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unit: def plot_summary()
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id: 121
unit: def plot_difference()
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unit: def plot_differences()
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unit: def _categorical_difference_chart()
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unit: def achieved_power()
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unit: def sample_size()
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unit: def powered_effect()
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unit: def _validate_sequential()
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unit: def _alphas()
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unit: def landem()
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unit: def __init__()
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unit: def _summary_plot()
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unit: def _ordinal_multiple_difference_plot()
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unit: def _categorical_multiple_difference_plot()
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unit: def _interval()
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unit: def groupbyApplyParallel()
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unit: def applyParallel()
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unit: def listify()
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unit: def __init__()
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unit: def achieved_power()
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unit: def achieved_power()
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unit: def achieved_power()
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unit: def unlist()
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unit: def _clean_continuous_mde()
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unit: def _dof()
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unit: def variance()
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unit: def _categorical_difference_plot()
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unit: def multiple_difference_joint_plot()
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id: 214
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unit: def continuous_interactive()
file: spotify_confidence/samplesize/sample_size_calculator.py
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end line: 0
size: 2 LOC
McCabe index: 1
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id: 235
unit: def binomial_interactive()
file: spotify_confidence/samplesize/sample_size_calculator.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 236
unit: def reset_widget()
file: spotify_confidence/samplesize/sample_size_calculator.py
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size: 2 LOC
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number of parameters: 1

id: 237
unit: def show_samplesize()
file: spotify_confidence/samplesize/sample_size_calculator.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 238
unit: def _confidence_computer()
file: spotify_confidence/analysis/abstract_base_classes/confidence_abc.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 239
unit: def _confidence_computer()
file: spotify_confidence/analysis/abstract_base_classes/confidence_abc.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 240
unit: def _confidence_grapher()
file: spotify_confidence/analysis/abstract_base_classes/confidence_abc.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 241
unit: def _confidence_grapher()
file: spotify_confidence/analysis/abstract_base_classes/confidence_abc.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 242
unit: def summary()
file: spotify_confidence/analysis/abstract_base_classes/confidence_abc.py
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end line: 0
size: 2 LOC
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number of parameters: 2

id: 243
unit: def summary_plot()
file: spotify_confidence/analysis/abstract_base_classes/confidence_abc.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 244
unit: def plot_summary()
file: spotify_confidence/analysis/abstract_base_classes/confidence_grapher_abc.py
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size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 245
unit: def compute_summary()
file: spotify_confidence/analysis/abstract_base_classes/confidence_computer_abc.py
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size: 2 LOC
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number of parameters: 2

id: 246
unit: def std_err()
file: spotify_confidence/analysis/frequentist/confidence_computers/bootstrap_computer.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 247
unit: def p_value()
file: spotify_confidence/analysis/frequentist/confidence_computers/bootstrap_computer.py
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size: 2 LOC
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number of parameters: 3

id: 248
unit: def achieved_power()
file: spotify_confidence/analysis/frequentist/confidence_computers/bootstrap_computer.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 249
unit: def _initialise_sample_size_and_power_computation()
file: spotify_confidence/analysis/frequentist/confidence_computers/sample_size_computer.py
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size: 2 LOC
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number of parameters: 0

id: 250
unit: def compute_optimal_weights_and_sample_size()
file: spotify_confidence/analysis/frequentist/confidence_computers/sample_size_computer.py
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size: 2 LOC
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number of parameters: 0

id: 251
unit: def _compute_sample_sizes_and_ci_widths()
file: spotify_confidence/analysis/frequentist/confidence_computers/sample_size_computer.py
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size: 2 LOC
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number of parameters: 2

id: 252
unit: def _compute_powered_effects()
file: spotify_confidence/analysis/frequentist/confidence_computers/sample_size_computer.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 253
unit: def _find_optimal_group_weights_across_rows()
file: spotify_confidence/analysis/frequentist/confidence_computers/sample_size_computer.py
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size: 2 LOC
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id: 254
unit: def _calculate_optimal_sample_size_given_weights()
file: spotify_confidence/analysis/frequentist/confidence_computers/sample_size_computer.py
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size: 2 LOC
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id: 255
unit: def sequential_bounds()
file: spotify_confidence/analysis/frequentist/confidence_computers/z_test_computer.py
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size: 2 LOC
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number of parameters: 4

id: 256
unit: def _aw()
file: spotify_confidence/analysis/frequentist/confidence_computers/z_test_computer.py
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size: 2 LOC
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number of parameters: 4

id: 257
unit: def _bw()
file: spotify_confidence/analysis/frequentist/confidence_computers/z_test_computer.py
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size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 258
unit: def ci_width()
file: spotify_confidence/analysis/frequentist/confidence_computers/z_test_computer.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 259
unit: def add_point_estimate_ci()
file: spotify_confidence/analysis/frequentist/confidence_computers/z_test_linreg_computer.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 260
unit: def std_err()
file: spotify_confidence/analysis/frequentist/confidence_computers/z_test_linreg_computer.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 261
unit: def p_value()
file: spotify_confidence/analysis/frequentist/confidence_computers/z_test_linreg_computer.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 262
unit: def ci()
file: spotify_confidence/analysis/frequentist/confidence_computers/z_test_linreg_computer.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 263
unit: def _add_ci_and_adjust_if_absolute()
file: spotify_confidence/analysis/frequentist/confidence_computers/confidence_computer.py
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size: 2 LOC
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number of parameters: 2

id: 264
unit: def optimal_weights_and_sample_size()
file: spotify_confidence/analysis/frequentist/sample_size_calculator.py
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size: 2 LOC
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number of parameters: 0

id: 265
unit: def get_preference()
file: spotify_confidence/analysis/frequentist/multiple_comparison.py
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size: 2 LOC
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number of parameters: 2

id: 266
unit: def summary()
file: spotify_confidence/analysis/frequentist/experiment.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 267
unit: def achieved_power()
file: spotify_confidence/analysis/frequentist/experiment.py
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size: 2 LOC
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number of parameters: 6

id: 268
unit: def df()
file: spotify_confidence/analysis/frequentist/sequential_bound_solver.py
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size: 2 LOC
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number of parameters: 1

id: 269
unit: def last_fcab()
file: spotify_confidence/analysis/frequentist/sequential_bound_solver.py
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size: 2 LOC
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number of parameters: 1

id: 270
unit: def df()
file: spotify_confidence/analysis/frequentist/sequential_bound_solver.py
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size: 2 LOC
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id: 271
unit: def bounds()
file: spotify_confidence/analysis/frequentist/sequential_bound_solver.py
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size: 2 LOC
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id: 272
unit: def state()
file: spotify_confidence/analysis/frequentist/sequential_bound_solver.py
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size: 2 LOC
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number of parameters: 1

id: 273
unit: def plot_multiple_difference_group()
file: spotify_confidence/analysis/frequentist/chartify_grapher.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 274
unit: def _ordinal_difference_plot()
file: spotify_confidence/analysis/frequentist/chartify_grapher.py
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size: 2 LOC
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number of parameters: 0

id: 275
unit: def _categorical_difference_plot()
file: spotify_confidence/analysis/frequentist/chartify_grapher.py
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size: 2 LOC
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number of parameters: 0

id: 276
unit: def add_ci_to_chart_datasources()
file: spotify_confidence/analysis/frequentist/chartify_grapher.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 277
unit: def _categorical_difference_plot_()
file: spotify_confidence/analysis/bayesian/bayesian_models.py
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size: 2 LOC
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number of parameters: 0

id: 278
unit: def _multiple_difference_joint_dataframe()
file: spotify_confidence/analysis/bayesian/bayesian_models.py
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size: 2 LOC
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number of parameters: 3

id: 279
unit: def _multiple_difference()
file: spotify_confidence/analysis/bayesian/bayesian_models.py
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size: 2 LOC
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number of parameters: 0

id: 280
unit: def _categorical_multiple_difference_chart()
file: spotify_confidence/analysis/bayesian/bayesian_models.py
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size: 2 LOC
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number of parameters: 0

id: 281
unit: def as_cumulative()
file: spotify_confidence/analysis/bayesian/bayesian_base.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 282
unit: def summary()
file: spotify_confidence/analysis/bayesian/bayesian_base.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 283
unit: def _categorical_summary_plot()
file: spotify_confidence/analysis/bayesian/bayesian_base.py
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size: 2 LOC
McCabe index: 1
number of parameters: 5

id: 284
unit: def difference()
file: spotify_confidence/analysis/bayesian/bayesian_base.py
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size: 2 LOC
McCabe index: 1
number of parameters: 5

id: 285
unit: def _categorical_difference_plot()
file: spotify_confidence/analysis/bayesian/bayesian_base.py
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size: 2 LOC
McCabe index: 1
number of parameters: 5

id: 286
unit: def multiple_difference()
file: spotify_confidence/analysis/bayesian/bayesian_base.py
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size: 2 LOC
McCabe index: 1
number of parameters: 5

id: 287
unit: def _categorical_multiple_difference_plot()
file: spotify_confidence/analysis/bayesian/bayesian_base.py
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size: 2 LOC
McCabe index: 1
number of parameters: 5

id: 288
unit: def to_finite()
file: spotify_confidence/analysis/confidence_utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 289
unit: def add_color_column()
file: spotify_confidence/analysis/confidence_utils.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2