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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 1 new columns ({'age;"job";"marital";"education";"default";"housing";"loan";"contact";"month";"day_of_week";"duration";"campaign";"pdays";"previous";"poutcome";"emp.var.rate";"cons.price.idx";"cons.conf.idx";"euribor3m";"nr.employed";"y"'}) and 42 missing columns ({'neighborhood_mitchel', 'month_sold', 'NeighborhoodBrDale', 'applicants', 'garage_type_no_garage', 'garage_type_builtIn', 'neighborhood_n_ames', 'neighborhood_n_ridge_hghts', 'overall_qual', 'garage_type_attchd', 'neighborhood_brk_side', 'neighborhood_sawyer_w', 'year_sold', 'neighborhood_veenker', 'sale_price', 'neighborhood_saleprice', 'total_sq_feet', 'neighborhood_meadowv', 'neighborhood_somerst', 'neighborhood_idottrr', 'num_units', 'garage_type_detchd', 'lot_area', 'garage_type_basment', 'neighborhood_gilbert', 'neighborhood_timber', 'neighborhood_old_town', 'neighborhood_stone_br', 'neighborhood_edwards', 'neighborhood_swisu', 'neighborhood_n_w_ames', 'gr_liv_area', 'neighborhood_crawfor', 'neighborhood_n_ridge', 'neighborhood_collg_cr', 'neighborhood_sawyer', 'central_air', 'Unnamed: 0', 'exter_qual', 'tot_bathrooms', 'full_bath', 'neighborhood_clear_cr'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Samzzzed/ExamPAData/bank_loans.csv (at revision 2b2521df1d85997baa2f422663af0c8210c1cbd8), ['hf://datasets/Samzzzed/ExamPAData@2b2521df1d85997baa2f422663af0c8210c1cbd8/apartment_apps.csv', 'hf://datasets/Samzzzed/ExamPAData@2b2521df1d85997baa2f422663af0c8210c1cbd8/bank_loans.csv', 'hf://datasets/Samzzzed/ExamPAData@2b2521df1d85997baa2f422663af0c8210c1cbd8/bike_sharing_demand.csv', 'hf://datasets/Samzzzed/ExamPAData@2b2521df1d85997baa2f422663af0c8210c1cbd8/boston.csv', 'hf://datasets/Samzzzed/ExamPAData@2b2521df1d85997baa2f422663af0c8210c1cbd8/customer_phone_calls.csv', 'hf://datasets/Samzzzed/ExamPAData@2b2521df1d85997baa2f422663af0c8210c1cbd8/customer_value.csv', 'hf://datasets/Samzzzed/ExamPAData@2b2521df1d85997baa2f422663af0c8210c1cbd8/patient_length_of_stay.csv', 'hf://datasets/Samzzzed/ExamPAData@2b2521df1d85997baa2f422663af0c8210c1cbd8/patient_num_labs.csv', 'hf://datasets/Samzzzed/ExamPAData@2b2521df1d85997baa2f422663af0c8210c1cbd8/pedestrian_activity.csv', 'hf://datasets/Samzzzed/ExamPAData@2b2521df1d85997baa2f422663af0c8210c1cbd8/travel_insurance.csv', 'hf://datasets/Samzzzed/ExamPAData@2b2521df1d85997baa2f422663af0c8210c1cbd8/travel_spending.csv']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
age;"job";"marital";"education";"default";"housing";"loan";"contact";"month";"day_of_week";"duration (... 120 chars omitted): string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 901
to
{'Unnamed: 0': Value('int64'), 'applicants': Value('int64'), 'sale_price': Value('float64'), 'num_units': Value('int64'), 'year_sold': Value('int64'), 'month_sold': Value('int64'), 'overall_qual': Value('int64'), 'total_sq_feet': Value('float64'), 'gr_liv_area': Value('float64'), 'tot_bathrooms': Value('int64'), 'lot_area': Value('float64'), 'exter_qual': Value('int64'), 'full_bath': Value('int64'), 'central_air': Value('string'), 'garage_type_attchd': Value('int64'), 'garage_type_basment': Value('int64'), 'garage_type_builtIn': Value('int64'), 'garage_type_detchd': Value('int64'), 'garage_type_no_garage': Value('int64'), 'NeighborhoodBrDale': Value('int64'), 'neighborhood_brk_side': Value('int64'), 'neighborhood_clear_cr': Value('int64'), 'neighborhood_collg_cr': Value('int64'), 'neighborhood_crawfor': Value('int64'), 'neighborhood_edwards': Value('int64'), 'neighborhood_gilbert': Value('int64'), 'neighborhood_idottrr': Value('int64'), 'neighborhood_meadowv': Value('int64'), 'neighborhood_mitchel': Value('int64'), 'neighborhood_n_ames': Value('int64'), 'neighborhood_n_ridge': Value('int64'), 'neighborhood_n_ridge_hghts': Value('int64'), 'neighborhood_n_w_ames': Value('int64'), 'neighborhood_old_town': Value('int64'), 'neighborhood_sawyer': Value('int64'), 'neighborhood_sawyer_w': Value('int64'), 'neighborhood_somerst': Value('int64'), 'neighborhood_stone_br': Value('int64'), 'neighborhood_swisu': Value('int64'), 'neighborhood_timber': Value('int64'), 'neighborhood_veenker': Value('int64'), 'neighborhood_saleprice': Value('float64')}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1850, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
...<4 lines>...
)
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 1 new columns ({'age;"job";"marital";"education";"default";"housing";"loan";"contact";"month";"day_of_week";"duration";"campaign";"pdays";"previous";"poutcome";"emp.var.rate";"cons.price.idx";"cons.conf.idx";"euribor3m";"nr.employed";"y"'}) and 42 missing columns ({'neighborhood_mitchel', 'month_sold', 'NeighborhoodBrDale', 'applicants', 'garage_type_no_garage', 'garage_type_builtIn', 'neighborhood_n_ames', 'neighborhood_n_ridge_hghts', 'overall_qual', 'garage_type_attchd', 'neighborhood_brk_side', 'neighborhood_sawyer_w', 'year_sold', 'neighborhood_veenker', 'sale_price', 'neighborhood_saleprice', 'total_sq_feet', 'neighborhood_meadowv', 'neighborhood_somerst', 'neighborhood_idottrr', 'num_units', 'garage_type_detchd', 'lot_area', 'garage_type_basment', 'neighborhood_gilbert', 'neighborhood_timber', 'neighborhood_old_town', 'neighborhood_stone_br', 'neighborhood_edwards', 'neighborhood_swisu', 'neighborhood_n_w_ames', 'gr_liv_area', 'neighborhood_crawfor', 'neighborhood_n_ridge', 'neighborhood_collg_cr', 'neighborhood_sawyer', 'central_air', 'Unnamed: 0', 'exter_qual', 'tot_bathrooms', 'full_bath', 'neighborhood_clear_cr'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Samzzzed/ExamPAData/bank_loans.csv (at revision 2b2521df1d85997baa2f422663af0c8210c1cbd8), ['hf://datasets/Samzzzed/ExamPAData@2b2521df1d85997baa2f422663af0c8210c1cbd8/apartment_apps.csv', 'hf://datasets/Samzzzed/ExamPAData@2b2521df1d85997baa2f422663af0c8210c1cbd8/bank_loans.csv', 'hf://datasets/Samzzzed/ExamPAData@2b2521df1d85997baa2f422663af0c8210c1cbd8/bike_sharing_demand.csv', 'hf://datasets/Samzzzed/ExamPAData@2b2521df1d85997baa2f422663af0c8210c1cbd8/boston.csv', 'hf://datasets/Samzzzed/ExamPAData@2b2521df1d85997baa2f422663af0c8210c1cbd8/customer_phone_calls.csv', 'hf://datasets/Samzzzed/ExamPAData@2b2521df1d85997baa2f422663af0c8210c1cbd8/customer_value.csv', 'hf://datasets/Samzzzed/ExamPAData@2b2521df1d85997baa2f422663af0c8210c1cbd8/patient_length_of_stay.csv', 'hf://datasets/Samzzzed/ExamPAData@2b2521df1d85997baa2f422663af0c8210c1cbd8/patient_num_labs.csv', 'hf://datasets/Samzzzed/ExamPAData@2b2521df1d85997baa2f422663af0c8210c1cbd8/pedestrian_activity.csv', 'hf://datasets/Samzzzed/ExamPAData@2b2521df1d85997baa2f422663af0c8210c1cbd8/travel_insurance.csv', 'hf://datasets/Samzzzed/ExamPAData@2b2521df1d85997baa2f422663af0c8210c1cbd8/travel_spending.csv']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Unnamed: 0 int64 | applicants int64 | sale_price float64 | num_units int64 | year_sold int64 | month_sold int64 | overall_qual int64 | total_sq_feet float64 | gr_liv_area float64 | tot_bathrooms int64 | lot_area float64 | exter_qual int64 | full_bath int64 | central_air string | garage_type_attchd int64 | garage_type_basment int64 | garage_type_builtIn int64 | garage_type_detchd int64 | garage_type_no_garage int64 | NeighborhoodBrDale int64 | neighborhood_brk_side int64 | neighborhood_clear_cr int64 | neighborhood_collg_cr int64 | neighborhood_crawfor int64 | neighborhood_edwards int64 | neighborhood_gilbert int64 | neighborhood_idottrr int64 | neighborhood_meadowv int64 | neighborhood_mitchel int64 | neighborhood_n_ames int64 | neighborhood_n_ridge int64 | neighborhood_n_ridge_hghts int64 | neighborhood_n_w_ames int64 | neighborhood_old_town int64 | neighborhood_sawyer int64 | neighborhood_sawyer_w int64 | neighborhood_somerst int64 | neighborhood_stone_br int64 | neighborhood_swisu int64 | neighborhood_timber int64 | neighborhood_veenker int64 | neighborhood_saleprice float64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 3 | 208,500 | 4 | 2,008 | 2 | 7 | 3,586.886473 | 2,785.059658 | 5 | 3,898.256262 | 4 | 4 | yes | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 198,517.720513 |
2 | 5 | 181,500 | 5 | 2,007 | 5 | 6 | 3,560.347897 | 2,315.267051 | 3 | 4,149.409739 | 3 | 4 | yes | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 245,890.625 |
3 | 3 | 223,500 | 1 | 2,008 | 9 | 7 | 3,672.313801 | 2,852.312942 | 5 | 4,461.60282 | 4 | 4 | yes | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 198,517.720513 |
4 | 4 | 140,000 | 3 | 2,011 | 2 | 7 | 3,527.522576 | 2,791.3777 | 3 | 4,139.131115 | 3 | 2 | yes | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 213,681.737226 |
5 | 5 | 250,000 | 5 | 2,008 | 12 | 8 | 4,012.276458 | 3,173.357344 | 5 | 4,928.291795 | 4 | 4 | yes | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 331,835.284404 |
6 | 5 | 143,000 | 3 | 2,009 | 10 | 5 | 3,308.431003 | 2,433.181411 | 3 | 4,908.173858 | 3 | 2 | yes | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 157,755.829787 |
7 | 5 | 307,000 | 1 | 2,007 | 8 | 8 | 4,029.978391 | 2,770.520814 | 4 | 4,246.22717 | 4 | 4 | yes | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 231,775.424528 |
8 | 5 | 200,000 | 3 | 2,009 | 11 | 7 | 3,940.460443 | 3,095.426462 | 5 | 4,303.552913 | 3 | 4 | yes | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 191,923.372093 |
9 | 2 | 129,900 | 5 | 2,008 | 4 | 7 | 3,684.155641 | 2,841.886399 | 3 | 3,263.279679 | 3 | 4 | yes | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 124,716.12459 |
10 | 3 | 118,000 | 4 | 2,008 | 1 | 5 | 3,239.932668 | 2,070.17558 | 3 | 3,642.400932 | 3 | 2 | yes | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 126,987.794118 |
11 | 1 | 129,500 | 3 | 2,008 | 2 | 5 | 3,249.236059 | 2,016.129243 | 3 | 4,452.834955 | 3 | 2 | yes | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 136,902.412935 |
12 | 6 | 345,000 | 1 | 2,011 | 7 | 9 | 4,085.625881 | 3,259.578063 | 5 | 4,576.133552 | 5 | 6 | yes | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 306,152.504808 |
13 | 1 | 144,000 | 5 | 2,008 | 9 | 5 | 3,038.063444 | 1,813.099751 | 3 | 4,741.344476 | 3 | 2 | yes | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 136,902.412935 |
14 | 5 | 279,500 | 2 | 2,007 | 8 | 7 | 3,831.733215 | 2,576.226237 | 3 | 4,354.089114 | 4 | 4 | yes | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 198,517.720513 |
15 | 3 | 157,000 | 5 | 2,008 | 5 | 6 | 3,548.838818 | 2,304.200495 | 3 | 4,402.999896 | 3 | 2 | yes | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 147,744.311111 |
16 | 3 | 132,000 | 4 | 2,007 | 7 | 7 | 2,911.573757 | 1,711.532673 | 1 | 3,263.279679 | 3 | 2 | yes | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 126,987.794118 |
17 | 3 | 149,000 | 2 | 2,010 | 3 | 6 | 3,192.591144 | 1,961.66731 | 3 | 4,460.027483 | 3 | 2 | yes | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 147,744.311111 |
18 | 3 | 90,000 | 3 | 2,011 | 10 | 4 | 2,488.648141 | 2,356.374057 | 3 | 4,379.608662 | 3 | 4 | yes | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 136,902.412935 |
19 | 4 | 159,000 | 1 | 2,008 | 6 | 5 | 3,359.761461 | 2,122.39784 | 3 | 4,848.713402 | 3 | 2 | yes | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 181,841.175 |
20 | 4 | 139,000 | 1 | 2,009 | 5 | 5 | 3,457.755622 | 2,406.845786 | 1 | 3,679.192562 | 3 | 2 | yes | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 147,744.311111 |
21 | 4 | 325,300 | 2 | 2,011 | 11 | 8 | 4,101.633045 | 3,293.806714 | 5 | 4,922.070271 | 4 | 6 | yes | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 306,152.504808 |
22 | 1 | 139,400 | 5 | 2,007 | 6 | 7 | 2,966.874102 | 2,114.048178 | 1 | 3,650.078727 | 3 | 2 | yes | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 101,388.678571 |
23 | 3 | 230,000 | 2 | 2,008 | 9 | 8 | 4,118.833787 | 2,860.087003 | 3 | 4,178.311747 | 4 | 4 | yes | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 198,517.720513 |
24 | 2 | 129,900 | 5 | 2,007 | 6 | 5 | 3,264.623136 | 2,045.577645 | 3 | 2,533.523095 | 3 | 2 | yes | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 101,947.916667 |
25 | 2 | 154,000 | 5 | 2,010 | 5 | 5 | 3,279.864432 | 2,045.577645 | 3 | 3,850.154005 | 3 | 2 | yes | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 136,902.412935 |
26 | 7 | 256,300 | 4 | 2,009 | 7 | 8 | 3,924.790277 | 2,682.231164 | 3 | 4,924.146297 | 4 | 4 | yes | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 306,152.504808 |
27 | 2 | 134,800 | 2 | 2,010 | 5 | 5 | 3,016.767511 | 1,792.6258 | 2 | 3,583.159326 | 3 | 2 | yes | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 147,744.311111 |
28 | 5 | 306,000 | 4 | 2,010 | 5 | 8 | 4,043.246151 | 2,779.623586 | 4 | 4,501.096547 | 4 | 4 | yes | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 306,152.504808 |
29 | 3 | 207,500 | 5 | 2,011 | 12 | 5 | 3,882.588897 | 2,682.231164 | 3 | 5,194.018249 | 3 | 2 | yes | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 147,744.311111 |
30 | 0 | 68,500 | 3 | 2,008 | 5 | 4 | 2,134.938392 | 944.99275 | 1 | 3,327.817963 | 3 | 2 | no | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 126,987.794118 |
31 | 0 | 40,000 | 3 | 2,008 | 7 | 4 | 3,158.603118 | 2,381.228744 | 1 | 3,909.868836 | 3 | 2 | no | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 101,388.678571 |
32 | 2 | 149,350 | 2 | 2,008 | 6 | 5 | 3,516.430253 | 2,273.038208 | 2 | 3,920.03154 | 3 | 2 | yes | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 136,902.412935 |
33 | 5 | 179,900 | 4 | 2,008 | 1 | 8 | 3,524.26806 | 2,280.574588 | 3 | 4,426.116446 | 4 | 4 | yes | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 198,517.720513 |
34 | 3 | 165,500 | 1 | 2,010 | 4 | 5 | 3,889.872833 | 2,775.9889 | 3 | 4,335.522932 | 3 | 2 | yes | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 147,744.311111 |
35 | 7 | 277,500 | 4 | 2,007 | 8 | 9 | 3,902.283361 | 2,644.068492 | 4 | 3,613.810586 | 5 | 4 | yes | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 306,152.504808 |
36 | 4 | 309,000 | 2 | 2,011 | 9 | 8 | 4,117.4825 | 3,342.509484 | 5 | 4,808.491425 | 4 | 6 | yes | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 306,152.504808 |
37 | 5 | 145,000 | 1 | 2,009 | 6 | 5 | 3,335.034017 | 2,098.622463 | 2 | 4,391.973558 | 3 | 2 | yes | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 198,517.720513 |
38 | 2 | 153,000 | 5 | 2,009 | 10 | 5 | 3,604.338713 | 2,357.56671 | 2 | 3,917.265093 | 3 | 2 | yes | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 147,744.311111 |
39 | 4 | 109,000 | 2 | 2,010 | 1 | 5 | 3,275.307186 | 2,041.195952 | 3 | 3,771.255047 | 3 | 2 | yes | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 147,744.311111 |
40 | 1 | 82,000 | 4 | 2,008 | 6 | 4 | 2,299.324814 | 2,174.257844 | 3 | 3,237.38149 | 3 | 4 | no | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 123,526.718147 |
41 | 3 | 160,000 | 3 | 2,011 | 12 | 6 | 3,487.360429 | 2,389.425712 | 3 | 3,946.120689 | 3 | 4 | yes | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 147,744.311111 |
42 | 7 | 170,000 | 1 | 2,007 | 7 | 5 | 3,655.587402 | 2,394.090273 | 3 | 5,263.222299 | 3 | 2 | yes | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 243,074.457143 |
43 | 5 | 144,000 | 3 | 2,007 | 12 | 5 | 2,947.408096 | 1,764.898888 | 3 | 4,061.353932 | 3 | 2 | yes | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 181,841.175 |
44 | 6 | 130,250 | 4 | 2,008 | 7 | 5 | 3,083.25969 | 1,856.551999 | 3 | 4,065.637598 | 3 | 2 | yes | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 198,517.720513 |
45 | 5 | 141,000 | 4 | 2,011 | 5 | 5 | 3,410.903464 | 2,171.571269 | 3 | 3,776.961375 | 3 | 2 | yes | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 147,744.311111 |
46 | 5 | 319,900 | 4 | 2,010 | 2 | 9 | 4,087.922393 | 2,822.586675 | 4 | 3,704.543589 | 5 | 4 | yes | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 306,152.504808 |
47 | 5 | 239,686 | 2 | 2,009 | 8 | 7 | 4,123.778816 | 3,138.48538 | 3 | 4,719.057527 | 4 | 2 | yes | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 157,755.829787 |
48 | 7 | 249,700 | 2 | 2,007 | 7 | 8 | 3,997.293653 | 2,735.433546 | 3 | 4,434.47174 | 4 | 4 | yes | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 231,775.424528 |
49 | 4 | 113,000 | 5 | 2,009 | 6 | 4 | 3,330.63062 | 2,532.129896 | 3 | 2,638.755562 | 3 | 4 | yes | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 124,716.12459 |
50 | 2 | 127,000 | 4 | 2,007 | 1 | 5 | 3,112.139044 | 1,884.317321 | 3 | 3,726.016189 | 3 | 2 | yes | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 136,902.412935 |
51 | 7 | 177,000 | 1 | 2,007 | 7 | 6 | 3,385.535684 | 2,551.182397 | 3 | 4,873.565291 | 3 | 4 | yes | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 193,941.862745 |
52 | 1 | 114,500 | 4 | 2,011 | 9 | 6 | 3,179.727853 | 2,206.138117 | 1 | 3,301.499117 | 3 | 2 | yes | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 126,987.794118 |
53 | 1 | 110,000 | 4 | 2,010 | 5 | 5 | 2,859.237718 | 1,641.181155 | 3 | 3,903.374236 | 2 | 2 | no | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 101,388.678571 |
54 | 3 | 385,000 | 5 | 2,011 | 11 | 9 | 4,168.486434 | 2,900.062264 | 3 | 7,408.51646 | 4 | 0 | yes | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 245,890.625 |
55 | 1 | 130,000 | 1 | 2,007 | 2 | 5 | 2,965.952471 | 2,430.909066 | 1 | 3,565.033528 | 3 | 2 | yes | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 147,744.311111 |
56 | 5 | 180,500 | 5 | 2,008 | 7 | 6 | 3,755.691139 | 2,503.103963 | 3 | 4,263.910399 | 3 | 4 | yes | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 147,744.311111 |
57 | 7 | 172,500 | 3 | 2,009 | 8 | 8 | 3,674.095644 | 2,811.068117 | 5 | 1,612.296767 | 4 | 4 | yes | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 231,775.424528 |
58 | 7 | 196,500 | 5 | 2,011 | 8 | 7 | 3,595.636259 | 2,794.077556 | 3 | 4,529.529399 | 4 | 4 | yes | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 198,517.720513 |
59 | 2 | 438,780 | 5 | 2,011 | 10 | 10 | 4,437.596813 | 3,625.907232 | 5 | 4,846.843995 | 5 | 6 | yes | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 309,745.587302 |
60 | 3 | 124,900 | 1 | 2,008 | 1 | 5 | 2,786.697637 | 1,571.446193 | 1 | 3,583.159326 | 3 | 2 | yes | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 198,517.720513 |
61 | 4 | 158,000 | 1 | 2,011 | 5 | 6 | 3,422.050892 | 2,182.289697 | 3 | 4,757.067622 | 3 | 2 | yes | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 181,841.175 |
62 | 0 | 101,000 | 4 | 2,007 | 3 | 5 | 2,868.079487 | 2,118.22864 | 1 | 3,583.159326 | 3 | 2 | no | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 101,388.678571 |
63 | 5 | 202,500 | 4 | 2,007 | 10 | 8 | 3,692.393367 | 2,442.23757 | 3 | 3,364.205247 | 4 | 4 | yes | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 306,152.504808 |
64 | 2 | 140,000 | 4 | 2,010 | 4 | 7 | 3,401.085695 | 2,785.059658 | 3 | 4,287.944464 | 3 | 4 | yes | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 124,716.12459 |
65 | 3 | 219,500 | 2 | 2,009 | 2 | 7 | 3,886.234988 | 3,053.417996 | 5 | 4,102.727309 | 3 | 4 | yes | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 198,517.720513 |
66 | 4 | 317,000 | 1 | 2,007 | 10 | 8 | 4,138.52335 | 3,355.700878 | 3 | 4,147.563543 | 4 | 4 | yes | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 306,152.504808 |
67 | 7 | 180,000 | 5 | 2,010 | 7 | 7 | 4,361.598649 | 3,179.677844 | 4 | 5,584.296801 | 3 | 4 | yes | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 147,744.311111 |
68 | 3 | 226,000 | 3 | 2,007 | 6 | 7 | 3,801.307594 | 2,560.621397 | 4 | 4,356.489907 | 4 | 4 | yes | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 198,517.720513 |
69 | 4 | 80,000 | 4 | 2,010 | 6 | 4 | 2,717.200807 | 1,504.638688 | 1 | 2,704.771183 | 3 | 2 | yes | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 124,716.12459 |
70 | 7 | 225,000 | 1 | 2,011 | 7 | 7 | 4,127.365678 | 3,234.753653 | 3 | 5,104.197555 | 4 | 4 | yes | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 205,982.833333 |
71 | 3 | 244,000 | 4 | 2,007 | 2 | 7 | 4,470.857639 | 3,190.850939 | 4 | 4,842.379 | 3 | 4 | yes | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 147,744.311111 |
72 | 2 | 129,500 | 2 | 2,007 | 6 | 4 | 2,915.383603 | 1,695.157209 | 3 | 3,689.320379 | 3 | 2 | yes | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 157,755.829787 |
73 | 5 | 185,000 | 1 | 2,009 | 12 | 7 | 3,576.828094 | 2,792.278176 | 3 | 4,257.322052 | 3 | 4 | yes | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 193,941.862745 |
74 | 3 | 144,900 | 3 | 2,010 | 5 | 5 | 3,318.828959 | 2,083.041429 | 3 | 4,268.740744 | 3 | 2 | yes | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 147,744.311111 |
75 | 1 | 107,400 | 2 | 2,010 | 5 | 3 | 3,509.211896 | 2,687.056447 | 3 | 3,154.18124 | 4 | 4 | no | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 124,716.12459 |
76 | 1 | 91,000 | 1 | 2,009 | 11 | 4 | 2,669.143537 | 1,936.832805 | 3 | 618.328292 | 3 | 2 | yes | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 101,947.916667 |
77 | 1 | 135,750 | 3 | 2,008 | 4 | 4 | 3,107.080214 | 1,879.453618 | 1 | 3,904.071112 | 3 | 2 | yes | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 147,744.311111 |
78 | 2 | 127,000 | 2 | 2,008 | 1 | 5 | 3,151.225596 | 2,343.193849 | 3 | 3,940.884858 | 3 | 2 | yes | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 126,987.794118 |
79 | 1 | 136,500 | 5 | 2,010 | 4 | 4 | 4,102.542947 | 2,836.646664 | 3 | 4,377.235916 | 3 | 4 | no | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 136,902.412935 |
80 | 2 | 110,000 | 1 | 2,009 | 5 | 5 | 2,896.243499 | 2,275.554415 | 2 | 4,314.518783 | 3 | 2 | yes | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 124,716.12459 |
81 | 3 | 193,500 | 5 | 2,009 | 6 | 6 | 3,858.421065 | 3,133.438897 | 3 | 4,746.195757 | 3 | 4 | yes | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 147,744.311111 |
82 | 5 | 153,500 | 1 | 2,011 | 3 | 6 | 3,591.892177 | 2,404.534409 | 4 | 2,658.094083 | 3 | 4 | yes | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 157,755.829787 |
83 | 5 | 245,000 | 1 | 2,008 | 10 | 8 | 3,904.342506 | 2,646.048616 | 3 | 4,269.898265 | 3 | 4 | yes | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 231,775.424528 |
84 | 6 | 126,500 | 1 | 2,007 | 7 | 5 | 3,287.43127 | 2,052.853008 | 2 | 3,998.61269 | 3 | 2 | yes | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 147,744.311111 |
85 | 2 | 168,500 | 4 | 2,009 | 5 | 7 | 3,067.758113 | 2,555.384617 | 3 | 3,916.80364 | 3 | 4 | yes | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 193,941.862745 |
86 | 5 | 260,000 | 1 | 2,011 | 4 | 8 | 4,177.628074 | 3,320.270817 | 3 | 5,162.162689 | 4 | 4 | yes | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 331,835.284404 |
87 | 4 | 174,000 | 1 | 2,009 | 3 | 6 | 3,371.267682 | 2,643.077479 | 3 | 4,573.986365 | 4 | 4 | yes | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 193,941.862745 |
88 | 4 | 164,500 | 1 | 2,009 | 6 | 6 | 3,048.606617 | 2,267.993487 | 3 | 2,402.0284 | 4 | 4 | yes | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 231,775.424528 |
89 | 0 | 85,000 | 1 | 2,009 | 10 | 3 | 3,569.876297 | 2,608.999759 | 1 | 3,902.909515 | 2 | 2 | no | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 101,388.678571 |
90 | 6 | 123,600 | 3 | 2,007 | 8 | 4 | 3,170.012433 | 1,939.959001 | 3 | 3,807.688066 | 3 | 2 | yes | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 198,517.720513 |
91 | 3 | 109,900 | 4 | 2,011 | 7 | 4 | 2,134.938392 | 2,016.129243 | 1 | 3,583.159326 | 3 | 2 | yes | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 147,744.311111 |
92 | 4 | 98,600 | 5 | 2,011 | 12 | 5 | 3,525.570657 | 2,281.82709 | 1 | 3,909.868836 | 3 | 2 | yes | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 147,744.311111 |
93 | 6 | 163,500 | 4 | 2,009 | 8 | 5 | 3,052.105708 | 1,898.817377 | 3 | 4,799.964426 | 3 | 2 | yes | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 213,681.737226 |
94 | 1 | 133,900 | 5 | 2,007 | 11 | 6 | 4,088.381303 | 3,237.456652 | 3 | 3,583.159326 | 3 | 4 | no | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 124,716.12459 |
95 | 3 | 204,750 | 4 | 2,007 | 5 | 6 | 3,614.227068 | 2,852.312942 | 5 | 4,094.732728 | 3 | 4 | yes | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 198,517.720513 |
96 | 2 | 185,000 | 1 | 2,009 | 4 | 6 | 3,302.458999 | 2,551.182397 | 3 | 4,182.953384 | 5 | 4 | yes | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 193,941.862745 |
97 | 7 | 214,000 | 1 | 2,011 | 8 | 7 | 3,929.861866 | 2,670.588725 | 3 | 4,281.052686 | 4 | 4 | yes | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 198,517.720513 |
98 | 5 | 94,750 | 1 | 2,007 | 5 | 4 | 3,120.535236 | 1,892.389676 | 3 | 4,403.180142 | 3 | 2 | yes | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 123,526.718147 |
99 | 0 | 83,000 | 5 | 2,010 | 5 | 5 | 2,484.922844 | 1,676.756673 | 1 | 4,349.093476 | 3 | 2 | no | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 123,526.718147 |
100 | 4 | 128,950 | 1 | 2,010 | 1 | 4 | 3,321.048375 | 2,269.25621 | 3 | 4,091.145667 | 3 | 2 | yes | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 147,744.311111 |
End of preview.
ExamPAData CSV datasets
CSV source files from the ExamPAData R package / Predictive Insights AI Exam PA materials (Zion ExamPAData/raw-data).
Files
apartment_apps.csv(244,569 bytes)bank_loans.csv(5,834,924 bytes)bike_sharing_demand.csv(573,391 bytes)boston.csv(35,218 bytes)customer_phone_calls.csv(751,811 bytes)customer_value.csv(2,216,754 bytes)patient_length_of_stay.csv(526,462 bytes)patient_num_labs.csv(751,898 bytes)pedestrian_activity.csv(529,055 bytes)travel_insurance.csv(259,975 bytes)travel_spending.csv(299,539 bytes)
Source
Mirrored from local ExamPAData library raw-data for machine learning / Exam PA practice.
Original package README retained as SOURCE_README.md. See LICENSE.
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