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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 4 new columns ({'code', 'name', 'longitude', 'latitude'}) and 38 missing columns ({'num_of_college_in_2km', 'storey_range', 'num_of_attraction_in_2km', 'num_of_university_in_2km', 'num_of_restaurant_in_2km', 'num_of_pharmacy_in_2km', 'num_of_hospital_in_2km', 'num_of_department_store_in_2km', 'real_price', 'num_of_bank_in_2km', 'num_of_cafe_in_2km', 'num_of_shopping_mall_in_2km', 'num_of_gym_in_2km', 'num_of_clothing_store_in_2km', 'num_of_bakery_in_2km', 'num_of_yoga_in_2km', 'num_of_dentist_in_2km', 'floor_area_sqm', 'num_of_bookstore_in_2km', 'num_of_clinic_in_2km', 'num_of_co_working_in_2km', 'resale_price', 'num_of_hotel_in_2km', 'month', 'num_of_hostel_in_2km', 'num_of_charging_station_in_2km', 'num_of_mrt_in_2km', 'num_of_bus_in_2km', 'num_of_convenience_store_in_2km', 'num_of_school_in_2km', 'num_of_viewpoint_in_2km', 'num_of_electronics_store_in_2km', 'flat_type', 'num_of_jewelry_store_in_2km', 'remaining_lease', 'num_of_atm_in_2km', 'num_of_fast_food_in_2km', 'num_of_supermarket_in_2km'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Hasson827624/HDBrain/processed/BUS.csv (at revision b68ad0bfc61d807fb44457b6ce6e828204584b24), ['hf://datasets/Hasson827624/HDBrain@b68ad0bfc61d807fb44457b6ce6e828204584b24/dataset.csv', 'hf://datasets/Hasson827624/HDBrain@b68ad0bfc61d807fb44457b6ce6e828204584b24/processed/BUS.csv', 'hf://datasets/Hasson827624/HDBrain@b68ad0bfc61d807fb44457b6ce6e828204584b24/processed/CPI.csv', 'hf://datasets/Hasson827624/HDBrain@b68ad0bfc61d807fb44457b6ce6e828204584b24/processed/HDB.csv', 'hf://datasets/Hasson827624/HDBrain@b68ad0bfc61d807fb44457b6ce6e828204584b24/processed/MRT.csv', 'hf://datasets/Hasson827624/HDBrain@b68ad0bfc61d807fb44457b6ce6e828204584b24/processed/POI.csv', 'hf://datasets/Hasson827624/HDBrain@b68ad0bfc61d807fb44457b6ce6e828204584b24/processed/address_coordinates.csv', 'hf://datasets/Hasson827624/HDBrain@b68ad0bfc61d807fb44457b6ce6e828204584b24/raw/CPI.csv', 'hf://datasets/Hasson827624/HDBrain@b68ad0bfc61d807fb44457b6ce6e828204584b24/raw/POI.csv', 'hf://datasets/Hasson827624/HDBrain@b68ad0bfc61d807fb44457b6ce6e828204584b24/raw/resale-flat-prices-based-on-approval-date-1990-1999.csv', 'hf://datasets/Hasson827624/HDBrain@b68ad0bfc61d807fb44457b6ce6e828204584b24/raw/resale-flat-prices-based-on-approval-date-2000-feb-2012.csv', 'hf://datasets/Hasson827624/HDBrain@b68ad0bfc61d807fb44457b6ce6e828204584b24/raw/resale-flat-prices-based-on-registration-date-from-jan-2015-to-dec-2016.csv', 'hf://datasets/Hasson827624/HDBrain@b68ad0bfc61d807fb44457b6ce6e828204584b24/raw/resale-flat-prices-based-on-registration-date-from-jan-2017-onwards.csv', 'hf://datasets/Hasson827624/HDBrain@b68ad0bfc61d807fb44457b6ce6e828204584b24/raw/resale-flat-prices-based-on-registration-date-from-mar-2012-to-dec-2014.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 1837, 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 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
code: string
name: string
latitude: double
longitude: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 732
to
{'month': Value('string'), 'flat_type': Value('string'), 'storey_range': Value('string'), 'floor_area_sqm': Value('float64'), 'remaining_lease': Value('float64'), 'resale_price': Value('float64'), 'real_price': Value('float64'), 'num_of_bus_in_2km': Value('int64'), 'num_of_mrt_in_2km': Value('int64'), 'num_of_atm_in_2km': Value('int64'), 'num_of_attraction_in_2km': Value('int64'), 'num_of_bakery_in_2km': Value('int64'), 'num_of_bank_in_2km': Value('int64'), 'num_of_bookstore_in_2km': Value('int64'), 'num_of_cafe_in_2km': Value('int64'), 'num_of_charging_station_in_2km': Value('int64'), 'num_of_clinic_in_2km': Value('int64'), 'num_of_clothing_store_in_2km': Value('int64'), 'num_of_co_working_in_2km': Value('int64'), 'num_of_college_in_2km': Value('int64'), 'num_of_convenience_store_in_2km': Value('int64'), 'num_of_dentist_in_2km': Value('int64'), 'num_of_department_store_in_2km': Value('int64'), 'num_of_electronics_store_in_2km': Value('int64'), 'num_of_fast_food_in_2km': Value('int64'), 'num_of_gym_in_2km': Value('int64'), 'num_of_hospital_in_2km': Value('int64'), 'num_of_hostel_in_2km': Value('int64'), 'num_of_hotel_in_2km': Value('int64'), 'num_of_jewelry_store_in_2km': Value('int64'), 'num_of_pharmacy_in_2km': Value('int64'), 'num_of_restaurant_in_2km': Value('int64'), 'num_of_school_in_2km': Value('int64'), 'num_of_shopping_mall_in_2km': Value('int64'), 'num_of_supermarket_in_2km': Value('int64'), 'num_of_university_in_2km': Value('int64'), 'num_of_viewpoint_in_2km': Value('int64'), 'num_of_yoga_in_2km': Value('int64')}
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 1683, 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 1839, 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 4 new columns ({'code', 'name', 'longitude', 'latitude'}) and 38 missing columns ({'num_of_college_in_2km', 'storey_range', 'num_of_attraction_in_2km', 'num_of_university_in_2km', 'num_of_restaurant_in_2km', 'num_of_pharmacy_in_2km', 'num_of_hospital_in_2km', 'num_of_department_store_in_2km', 'real_price', 'num_of_bank_in_2km', 'num_of_cafe_in_2km', 'num_of_shopping_mall_in_2km', 'num_of_gym_in_2km', 'num_of_clothing_store_in_2km', 'num_of_bakery_in_2km', 'num_of_yoga_in_2km', 'num_of_dentist_in_2km', 'floor_area_sqm', 'num_of_bookstore_in_2km', 'num_of_clinic_in_2km', 'num_of_co_working_in_2km', 'resale_price', 'num_of_hotel_in_2km', 'month', 'num_of_hostel_in_2km', 'num_of_charging_station_in_2km', 'num_of_mrt_in_2km', 'num_of_bus_in_2km', 'num_of_convenience_store_in_2km', 'num_of_school_in_2km', 'num_of_viewpoint_in_2km', 'num_of_electronics_store_in_2km', 'flat_type', 'num_of_jewelry_store_in_2km', 'remaining_lease', 'num_of_atm_in_2km', 'num_of_fast_food_in_2km', 'num_of_supermarket_in_2km'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Hasson827624/HDBrain/processed/BUS.csv (at revision b68ad0bfc61d807fb44457b6ce6e828204584b24), ['hf://datasets/Hasson827624/HDBrain@b68ad0bfc61d807fb44457b6ce6e828204584b24/dataset.csv', 'hf://datasets/Hasson827624/HDBrain@b68ad0bfc61d807fb44457b6ce6e828204584b24/processed/BUS.csv', 'hf://datasets/Hasson827624/HDBrain@b68ad0bfc61d807fb44457b6ce6e828204584b24/processed/CPI.csv', 'hf://datasets/Hasson827624/HDBrain@b68ad0bfc61d807fb44457b6ce6e828204584b24/processed/HDB.csv', 'hf://datasets/Hasson827624/HDBrain@b68ad0bfc61d807fb44457b6ce6e828204584b24/processed/MRT.csv', 'hf://datasets/Hasson827624/HDBrain@b68ad0bfc61d807fb44457b6ce6e828204584b24/processed/POI.csv', 'hf://datasets/Hasson827624/HDBrain@b68ad0bfc61d807fb44457b6ce6e828204584b24/processed/address_coordinates.csv', 'hf://datasets/Hasson827624/HDBrain@b68ad0bfc61d807fb44457b6ce6e828204584b24/raw/CPI.csv', 'hf://datasets/Hasson827624/HDBrain@b68ad0bfc61d807fb44457b6ce6e828204584b24/raw/POI.csv', 'hf://datasets/Hasson827624/HDBrain@b68ad0bfc61d807fb44457b6ce6e828204584b24/raw/resale-flat-prices-based-on-approval-date-1990-1999.csv', 'hf://datasets/Hasson827624/HDBrain@b68ad0bfc61d807fb44457b6ce6e828204584b24/raw/resale-flat-prices-based-on-approval-date-2000-feb-2012.csv', 'hf://datasets/Hasson827624/HDBrain@b68ad0bfc61d807fb44457b6ce6e828204584b24/raw/resale-flat-prices-based-on-registration-date-from-jan-2015-to-dec-2016.csv', 'hf://datasets/Hasson827624/HDBrain@b68ad0bfc61d807fb44457b6ce6e828204584b24/raw/resale-flat-prices-based-on-registration-date-from-jan-2017-onwards.csv', 'hf://datasets/Hasson827624/HDBrain@b68ad0bfc61d807fb44457b6ce6e828204584b24/raw/resale-flat-prices-based-on-registration-date-from-mar-2012-to-dec-2014.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.
month string | flat_type string | storey_range string | floor_area_sqm float64 | remaining_lease float64 | resale_price float64 | real_price float64 | num_of_bus_in_2km int64 | num_of_mrt_in_2km int64 | num_of_atm_in_2km int64 | num_of_attraction_in_2km int64 | num_of_bakery_in_2km int64 | num_of_bank_in_2km int64 | num_of_bookstore_in_2km int64 | num_of_cafe_in_2km int64 | num_of_charging_station_in_2km int64 | num_of_clinic_in_2km int64 | num_of_clothing_store_in_2km int64 | num_of_co_working_in_2km int64 | num_of_college_in_2km int64 | num_of_convenience_store_in_2km int64 | num_of_dentist_in_2km int64 | num_of_department_store_in_2km int64 | num_of_electronics_store_in_2km int64 | num_of_fast_food_in_2km int64 | num_of_gym_in_2km int64 | num_of_hospital_in_2km int64 | num_of_hostel_in_2km int64 | num_of_hotel_in_2km int64 | num_of_jewelry_store_in_2km int64 | num_of_pharmacy_in_2km int64 | num_of_restaurant_in_2km int64 | num_of_school_in_2km int64 | num_of_shopping_mall_in_2km int64 | num_of_supermarket_in_2km int64 | num_of_university_in_2km int64 | num_of_viewpoint_in_2km int64 | num_of_yoga_in_2km int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1990-01 | 1 ROOM | 10 TO 12 | 31 | 86 | 9,000 | 16,907.44 | 147 | 5 | 25 | 3 | 3 | 7 | 1 | 23 | 0 | 6 | 5 | 0 | 2 | 13 | 3 | 1 | 1 | 22 | 7 | 1 | 0 | 0 | 2 | 2 | 46 | 17 | 3 | 12 | 1 | 0 | 1 |
1990-01 | 1 ROOM | 04 TO 06 | 31 | 86 | 6,000 | 11,271.63 | 147 | 5 | 25 | 3 | 3 | 7 | 1 | 23 | 0 | 6 | 5 | 0 | 2 | 13 | 3 | 1 | 1 | 22 | 7 | 1 | 0 | 0 | 2 | 2 | 46 | 17 | 3 | 12 | 1 | 0 | 1 |
1990-01 | 1 ROOM | 10 TO 12 | 31 | 86 | 8,000 | 15,028.84 | 147 | 5 | 25 | 3 | 3 | 7 | 1 | 23 | 0 | 6 | 5 | 0 | 2 | 13 | 3 | 1 | 1 | 22 | 7 | 1 | 0 | 0 | 2 | 2 | 46 | 17 | 3 | 12 | 1 | 0 | 1 |
1990-01 | 1 ROOM | 07 TO 09 | 31 | 86 | 6,000 | 11,271.63 | 147 | 5 | 25 | 3 | 3 | 7 | 1 | 23 | 0 | 6 | 5 | 0 | 2 | 13 | 3 | 1 | 1 | 22 | 7 | 1 | 0 | 0 | 2 | 2 | 46 | 17 | 3 | 12 | 1 | 0 | 1 |
1990-01 | 3 ROOM | 04 TO 06 | 73 | 85 | 47,200 | 88,670.14 | 193 | 7 | 56 | 1 | 9 | 12 | 2 | 65 | 1 | 23 | 7 | 0 | 2 | 25 | 7 | 2 | 4 | 40 | 15 | 1 | 0 | 0 | 4 | 7 | 134 | 26 | 5 | 22 | 1 | 0 | 1 |
1990-01 | 3 ROOM | 01 TO 03 | 67 | 86 | 46,000 | 86,415.81 | 198 | 6 | 41 | 1 | 6 | 10 | 1 | 42 | 0 | 22 | 7 | 0 | 13 | 23 | 6 | 1 | 1 | 27 | 14 | 2 | 0 | 0 | 2 | 2 | 103 | 29 | 3 | 18 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 07 TO 09 | 67 | 86 | 42,000 | 78,901.39 | 193 | 4 | 40 | 1 | 6 | 8 | 1 | 34 | 0 | 19 | 6 | 0 | 14 | 20 | 4 | 1 | 1 | 28 | 13 | 2 | 0 | 0 | 2 | 2 | 86 | 28 | 3 | 18 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 10 TO 12 | 67 | 86 | 38,000 | 71,386.97 | 165 | 6 | 36 | 4 | 7 | 10 | 1 | 49 | 1 | 13 | 6 | 0 | 2 | 20 | 7 | 1 | 0 | 26 | 16 | 1 | 0 | 0 | 2 | 5 | 107 | 22 | 4 | 16 | 0 | 0 | 1 |
1990-01 | 3 ROOM | 04 TO 06 | 67 | 86 | 40,000 | 75,144.18 | 165 | 6 | 36 | 4 | 7 | 10 | 1 | 49 | 1 | 13 | 6 | 0 | 2 | 20 | 7 | 1 | 0 | 26 | 16 | 1 | 0 | 0 | 2 | 5 | 107 | 22 | 4 | 16 | 0 | 0 | 1 |
1990-01 | 3 ROOM | 01 TO 03 | 67 | 86 | 47,000 | 88,294.41 | 170 | 6 | 37 | 3 | 7 | 10 | 1 | 51 | 0 | 15 | 6 | 0 | 2 | 20 | 7 | 1 | 0 | 27 | 16 | 1 | 0 | 0 | 2 | 5 | 109 | 24 | 4 | 19 | 1 | 0 | 1 |
1990-01 | 3 ROOM | 07 TO 09 | 67 | 86 | 43,000 | 80,780 | 170 | 6 | 37 | 3 | 7 | 10 | 1 | 51 | 0 | 15 | 6 | 0 | 2 | 20 | 7 | 1 | 0 | 27 | 16 | 1 | 0 | 0 | 2 | 5 | 109 | 24 | 4 | 19 | 1 | 0 | 1 |
1990-01 | 3 ROOM | 07 TO 09 | 82 | 85 | 59,000 | 110,837.67 | 189 | 7 | 56 | 1 | 10 | 13 | 2 | 66 | 0 | 25 | 7 | 0 | 12 | 25 | 13 | 2 | 4 | 40 | 15 | 1 | 0 | 0 | 4 | 7 | 131 | 27 | 5 | 23 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 10 TO 12 | 67 | 85 | 47,200 | 88,670.14 | 189 | 7 | 56 | 1 | 10 | 13 | 2 | 66 | 0 | 25 | 7 | 0 | 12 | 25 | 13 | 2 | 4 | 40 | 15 | 1 | 0 | 0 | 4 | 7 | 131 | 27 | 5 | 23 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 07 TO 09 | 67 | 86 | 35,000 | 65,751.16 | 189 | 7 | 56 | 2 | 9 | 12 | 2 | 65 | 1 | 23 | 7 | 0 | 2 | 26 | 7 | 2 | 4 | 39 | 15 | 0 | 0 | 0 | 4 | 7 | 134 | 25 | 5 | 22 | 1 | 0 | 1 |
1990-01 | 3 ROOM | 07 TO 09 | 82 | 86 | 52,000 | 97,687.44 | 188 | 7 | 56 | 1 | 9 | 12 | 2 | 64 | 1 | 23 | 7 | 0 | 2 | 26 | 7 | 2 | 4 | 40 | 15 | 0 | 0 | 0 | 3 | 7 | 134 | 26 | 5 | 22 | 1 | 0 | 1 |
1990-01 | 3 ROOM | 04 TO 06 | 82 | 87 | 56,900 | 106,892.6 | 172 | 2 | 40 | 0 | 8 | 12 | 1 | 26 | 0 | 23 | 5 | 0 | 13 | 15 | 9 | 1 | 1 | 22 | 4 | 1 | 0 | 0 | 2 | 3 | 74 | 20 | 4 | 18 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 07 TO 09 | 73 | 86 | 40,000 | 75,144.18 | 192 | 5 | 52 | 1 | 9 | 15 | 2 | 48 | 0 | 28 | 6 | 0 | 14 | 17 | 15 | 2 | 4 | 38 | 8 | 1 | 0 | 0 | 4 | 6 | 97 | 26 | 5 | 21 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 07 TO 09 | 67 | 86 | 40,000 | 75,144.18 | 169 | 5 | 31 | 2 | 5 | 8 | 1 | 26 | 0 | 16 | 5 | 0 | 14 | 16 | 3 | 1 | 2 | 24 | 7 | 2 | 0 | 0 | 2 | 2 | 66 | 20 | 4 | 15 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 04 TO 06 | 67 | 87 | 47,200 | 88,670.14 | 171 | 6 | 43 | 3 | 7 | 10 | 1 | 51 | 1 | 16 | 6 | 0 | 2 | 23 | 7 | 1 | 0 | 26 | 16 | 0 | 0 | 0 | 2 | 5 | 113 | 25 | 4 | 19 | 0 | 0 | 1 |
1990-01 | 3 ROOM | 10 TO 12 | 67 | 87 | 37,000 | 69,508.37 | 171 | 6 | 43 | 3 | 7 | 10 | 1 | 51 | 1 | 16 | 6 | 0 | 2 | 23 | 7 | 1 | 0 | 26 | 16 | 0 | 0 | 0 | 2 | 5 | 113 | 25 | 4 | 19 | 0 | 0 | 1 |
1990-01 | 3 ROOM | 07 TO 09 | 82 | 87 | 60,000 | 112,716.27 | 178 | 6 | 39 | 3 | 8 | 10 | 1 | 51 | 0 | 21 | 6 | 0 | 2 | 21 | 7 | 1 | 0 | 27 | 16 | 1 | 0 | 0 | 2 | 5 | 114 | 24 | 4 | 19 | 1 | 0 | 1 |
1990-01 | 3 ROOM | 07 TO 09 | 73 | 87 | 40,000 | 75,144.18 | 184 | 5 | 50 | 1 | 8 | 10 | 2 | 44 | 0 | 20 | 6 | 0 | 14 | 16 | 6 | 2 | 4 | 37 | 11 | 1 | 0 | 0 | 4 | 5 | 88 | 27 | 4 | 19 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 10 TO 12 | 73 | 87 | 41,000 | 77,022.79 | 183 | 5 | 50 | 1 | 9 | 14 | 2 | 42 | 0 | 22 | 6 | 0 | 14 | 16 | 10 | 2 | 4 | 37 | 6 | 1 | 0 | 0 | 4 | 6 | 98 | 25 | 5 | 21 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 04 TO 06 | 74 | 87 | 37,000 | 69,508.37 | 162 | 5 | 27 | 3 | 5 | 8 | 1 | 24 | 0 | 7 | 5 | 0 | 2 | 15 | 3 | 1 | 0 | 23 | 10 | 1 | 0 | 0 | 2 | 2 | 56 | 19 | 3 | 14 | 1 | 0 | 1 |
1990-01 | 3 ROOM | 10 TO 12 | 67 | 87 | 34,000 | 63,872.56 | 175 | 6 | 38 | 2 | 8 | 10 | 1 | 46 | 0 | 18 | 6 | 0 | 2 | 20 | 7 | 1 | 0 | 27 | 15 | 1 | 0 | 0 | 2 | 5 | 103 | 24 | 4 | 18 | 1 | 0 | 1 |
1990-01 | 3 ROOM | 07 TO 09 | 73 | 87 | 47,000 | 88,294.41 | 194 | 5 | 46 | 1 | 8 | 14 | 1 | 36 | 0 | 21 | 6 | 0 | 14 | 16 | 8 | 2 | 4 | 29 | 5 | 1 | 0 | 0 | 3 | 5 | 89 | 24 | 5 | 18 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 04 TO 06 | 73 | 87 | 36,000 | 67,629.76 | 191 | 5 | 48 | 1 | 9 | 14 | 2 | 40 | 0 | 21 | 6 | 0 | 14 | 16 | 8 | 2 | 4 | 37 | 6 | 1 | 0 | 0 | 4 | 6 | 93 | 26 | 5 | 20 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 10 TO 12 | 73 | 87 | 45,000 | 84,537.21 | 192 | 5 | 48 | 1 | 9 | 14 | 2 | 41 | 0 | 22 | 6 | 0 | 14 | 16 | 9 | 2 | 4 | 37 | 6 | 1 | 0 | 0 | 4 | 6 | 95 | 26 | 5 | 20 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 04 TO 06 | 67 | 87 | 44,000 | 82,658.6 | 189 | 5 | 37 | 1 | 6 | 8 | 1 | 29 | 0 | 18 | 6 | 0 | 14 | 20 | 4 | 1 | 1 | 25 | 11 | 2 | 0 | 0 | 2 | 2 | 76 | 26 | 3 | 18 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 04 TO 06 | 73 | 88 | 44,000 | 82,658.6 | 193 | 6 | 39 | 1 | 6 | 8 | 1 | 32 | 0 | 19 | 6 | 0 | 14 | 20 | 4 | 1 | 1 | 25 | 13 | 2 | 0 | 0 | 2 | 2 | 82 | 28 | 3 | 18 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 01 TO 03 | 88 | 88 | 50,000 | 93,930.23 | 190 | 5 | 37 | 1 | 6 | 8 | 1 | 29 | 0 | 18 | 6 | 0 | 14 | 20 | 4 | 1 | 1 | 25 | 11 | 2 | 0 | 0 | 2 | 2 | 77 | 27 | 3 | 18 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 07 TO 09 | 67 | 87 | 47,000 | 88,294.41 | 192 | 5 | 37 | 1 | 6 | 8 | 1 | 28 | 0 | 18 | 6 | 0 | 14 | 20 | 4 | 1 | 2 | 25 | 10 | 2 | 0 | 0 | 2 | 2 | 77 | 26 | 3 | 18 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 07 TO 09 | 67 | 87 | 47,200 | 88,670.14 | 192 | 5 | 37 | 1 | 6 | 8 | 1 | 28 | 0 | 18 | 6 | 0 | 14 | 19 | 4 | 1 | 2 | 25 | 10 | 2 | 0 | 0 | 2 | 2 | 77 | 26 | 3 | 18 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 10 TO 12 | 82 | 87 | 58,000 | 108,959.07 | 188 | 5 | 37 | 1 | 6 | 8 | 1 | 28 | 0 | 18 | 6 | 0 | 14 | 19 | 4 | 1 | 2 | 25 | 9 | 2 | 0 | 0 | 2 | 2 | 77 | 26 | 3 | 18 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 10 TO 12 | 67 | 88 | 45,000 | 84,537.21 | 181 | 3 | 53 | 1 | 8 | 16 | 2 | 41 | 0 | 29 | 5 | 0 | 14 | 15 | 15 | 2 | 4 | 32 | 5 | 1 | 4 | 0 | 4 | 6 | 96 | 25 | 5 | 18 | 1 | 0 | 1 |
1990-01 | 3 ROOM | 10 TO 12 | 67 | 88 | 44,000 | 82,658.6 | 182 | 3 | 53 | 1 | 8 | 15 | 2 | 41 | 0 | 29 | 5 | 0 | 16 | 15 | 15 | 2 | 4 | 32 | 5 | 1 | 1 | 0 | 4 | 6 | 96 | 25 | 5 | 18 | 1 | 0 | 1 |
1990-01 | 3 ROOM | 04 TO 06 | 67 | 88 | 47,000 | 88,294.41 | 182 | 3 | 50 | 1 | 8 | 15 | 2 | 40 | 0 | 28 | 5 | 0 | 17 | 15 | 15 | 2 | 4 | 32 | 5 | 1 | 4 | 0 | 4 | 6 | 98 | 25 | 5 | 17 | 1 | 0 | 1 |
1990-01 | 3 ROOM | 13 TO 15 | 89 | 88 | 53,000 | 99,566.04 | 182 | 3 | 50 | 1 | 8 | 15 | 2 | 41 | 0 | 29 | 5 | 0 | 14 | 16 | 16 | 2 | 4 | 32 | 6 | 1 | 0 | 0 | 4 | 6 | 90 | 25 | 5 | 18 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 04 TO 06 | 74 | 88 | 47,000 | 88,294.41 | 177 | 3 | 49 | 1 | 8 | 15 | 2 | 41 | 0 | 29 | 5 | 0 | 14 | 16 | 15 | 2 | 4 | 32 | 6 | 1 | 0 | 0 | 4 | 6 | 93 | 26 | 5 | 19 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 07 TO 09 | 74 | 88 | 44,000 | 82,658.6 | 177 | 3 | 49 | 1 | 8 | 15 | 2 | 41 | 0 | 29 | 5 | 0 | 14 | 16 | 15 | 2 | 4 | 32 | 6 | 1 | 0 | 0 | 4 | 6 | 93 | 26 | 5 | 19 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 07 TO 09 | 74 | 88 | 47,000 | 88,294.41 | 174 | 3 | 49 | 1 | 8 | 15 | 2 | 41 | 0 | 29 | 5 | 0 | 13 | 15 | 15 | 2 | 4 | 32 | 6 | 1 | 0 | 0 | 4 | 6 | 92 | 26 | 5 | 19 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 07 TO 09 | 67 | 88 | 47,000 | 88,294.41 | 177 | 3 | 48 | 1 | 8 | 14 | 2 | 40 | 0 | 23 | 5 | 0 | 13 | 15 | 10 | 2 | 4 | 33 | 6 | 1 | 0 | 0 | 4 | 6 | 89 | 24 | 5 | 19 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 04 TO 06 | 67 | 88 | 45,000 | 84,537.21 | 178 | 3 | 49 | 1 | 8 | 14 | 2 | 40 | 0 | 24 | 5 | 0 | 13 | 15 | 12 | 2 | 4 | 32 | 6 | 1 | 0 | 0 | 4 | 6 | 90 | 25 | 5 | 19 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 07 TO 09 | 67 | 88 | 40,000 | 75,144.18 | 178 | 3 | 49 | 1 | 8 | 14 | 2 | 40 | 0 | 24 | 5 | 0 | 13 | 15 | 12 | 2 | 4 | 32 | 6 | 1 | 0 | 0 | 4 | 6 | 90 | 25 | 5 | 19 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 07 TO 09 | 67 | 88 | 47,000 | 88,294.41 | 178 | 3 | 49 | 1 | 8 | 14 | 2 | 40 | 0 | 24 | 5 | 0 | 13 | 15 | 12 | 2 | 4 | 32 | 6 | 1 | 0 | 0 | 4 | 6 | 90 | 25 | 5 | 19 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 07 TO 09 | 67 | 88 | 42,000 | 78,901.39 | 178 | 3 | 48 | 1 | 8 | 14 | 2 | 39 | 0 | 25 | 5 | 0 | 13 | 16 | 9 | 2 | 4 | 32 | 6 | 1 | 0 | 0 | 4 | 6 | 87 | 24 | 5 | 18 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 04 TO 06 | 82 | 88 | 56,000 | 105,201.86 | 178 | 3 | 48 | 1 | 8 | 14 | 2 | 39 | 0 | 25 | 5 | 0 | 13 | 16 | 9 | 2 | 4 | 32 | 6 | 1 | 0 | 0 | 4 | 6 | 87 | 24 | 5 | 18 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 10 TO 12 | 67 | 88 | 36,000 | 67,629.76 | 178 | 3 | 50 | 1 | 9 | 14 | 2 | 36 | 0 | 24 | 5 | 0 | 13 | 16 | 9 | 2 | 4 | 30 | 5 | 1 | 0 | 0 | 4 | 6 | 86 | 24 | 5 | 19 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 01 TO 03 | 83 | 88 | 48,000 | 90,173.02 | 172 | 2 | 39 | 0 | 8 | 12 | 1 | 26 | 0 | 23 | 5 | 0 | 13 | 15 | 9 | 1 | 1 | 22 | 4 | 1 | 0 | 0 | 2 | 3 | 74 | 21 | 4 | 18 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 01 TO 03 | 67 | 88 | 47,200 | 88,670.14 | 176 | 3 | 42 | 1 | 8 | 13 | 1 | 33 | 0 | 22 | 5 | 0 | 13 | 14 | 8 | 2 | 1 | 29 | 5 | 1 | 0 | 0 | 3 | 4 | 84 | 22 | 5 | 16 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 01 TO 03 | 67 | 88 | 37,000 | 69,508.37 | 176 | 3 | 42 | 1 | 8 | 13 | 1 | 33 | 0 | 22 | 5 | 0 | 13 | 14 | 8 | 2 | 1 | 29 | 5 | 1 | 0 | 0 | 3 | 4 | 84 | 22 | 5 | 16 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 07 TO 09 | 67 | 88 | 45,000 | 84,537.21 | 171 | 2 | 37 | 1 | 7 | 12 | 1 | 27 | 0 | 22 | 5 | 0 | 13 | 14 | 8 | 1 | 1 | 28 | 4 | 1 | 0 | 0 | 3 | 3 | 80 | 22 | 4 | 17 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 07 TO 09 | 67 | 88 | 37,000 | 69,508.37 | 176 | 4 | 44 | 1 | 8 | 14 | 1 | 32 | 0 | 22 | 5 | 0 | 13 | 16 | 8 | 2 | 1 | 29 | 5 | 1 | 0 | 0 | 3 | 4 | 84 | 22 | 5 | 16 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 10 TO 12 | 73 | 88 | 34,000 | 63,872.56 | 184 | 4 | 42 | 1 | 7 | 12 | 1 | 29 | 0 | 21 | 5 | 0 | 14 | 15 | 8 | 2 | 1 | 29 | 5 | 1 | 0 | 0 | 2 | 4 | 85 | 23 | 4 | 17 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 01 TO 03 | 73 | 88 | 40,000 | 75,144.18 | 184 | 4 | 42 | 1 | 7 | 12 | 1 | 29 | 0 | 21 | 5 | 0 | 14 | 15 | 8 | 2 | 1 | 29 | 5 | 1 | 0 | 0 | 2 | 4 | 85 | 23 | 4 | 17 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 07 TO 09 | 73 | 88 | 41,000 | 77,022.79 | 184 | 4 | 42 | 1 | 7 | 12 | 1 | 29 | 0 | 21 | 5 | 0 | 14 | 15 | 8 | 2 | 1 | 29 | 5 | 1 | 0 | 0 | 2 | 4 | 85 | 23 | 4 | 17 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 01 TO 03 | 67 | 88 | 41,000 | 77,022.79 | 181 | 3 | 39 | 1 | 7 | 12 | 1 | 28 | 0 | 21 | 5 | 0 | 14 | 16 | 8 | 1 | 1 | 26 | 5 | 1 | 0 | 0 | 2 | 3 | 81 | 24 | 4 | 17 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 04 TO 06 | 82 | 93 | 50,000 | 93,930.23 | 186 | 3 | 52 | 1 | 9 | 14 | 2 | 39 | 0 | 25 | 5 | 0 | 15 | 18 | 9 | 2 | 4 | 31 | 5 | 1 | 0 | 0 | 4 | 6 | 87 | 24 | 5 | 21 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 01 TO 03 | 67 | 88 | 45,000 | 84,537.21 | 187 | 3 | 58 | 1 | 9 | 16 | 2 | 42 | 0 | 30 | 5 | 0 | 15 | 18 | 16 | 2 | 4 | 33 | 5 | 1 | 0 | 0 | 4 | 6 | 92 | 22 | 5 | 23 | 1 | 0 | 1 |
1990-01 | 3 ROOM | 07 TO 09 | 67 | 88 | 38,000 | 71,386.97 | 187 | 3 | 58 | 1 | 9 | 16 | 2 | 42 | 0 | 30 | 5 | 0 | 15 | 18 | 16 | 2 | 4 | 33 | 5 | 1 | 0 | 0 | 4 | 6 | 92 | 22 | 5 | 23 | 1 | 0 | 1 |
1990-01 | 3 ROOM | 04 TO 06 | 67 | 93 | 37,500 | 70,447.67 | 193 | 3 | 59 | 1 | 9 | 18 | 2 | 44 | 0 | 30 | 5 | 0 | 16 | 19 | 16 | 2 | 4 | 33 | 6 | 1 | 0 | 0 | 4 | 6 | 103 | 23 | 5 | 23 | 1 | 0 | 1 |
1990-01 | 3 ROOM | 13 TO 15 | 67 | 93 | 52,500 | 98,626.74 | 193 | 3 | 59 | 1 | 9 | 18 | 2 | 44 | 0 | 30 | 5 | 0 | 16 | 19 | 16 | 2 | 4 | 33 | 6 | 1 | 0 | 0 | 4 | 6 | 103 | 23 | 5 | 23 | 1 | 0 | 1 |
1990-01 | 3 ROOM | 07 TO 09 | 67 | 88 | 35,000 | 65,751.16 | 177 | 2 | 40 | 0 | 8 | 12 | 1 | 26 | 0 | 23 | 5 | 0 | 13 | 15 | 9 | 1 | 1 | 23 | 4 | 1 | 0 | 0 | 2 | 3 | 74 | 19 | 4 | 18 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 04 TO 06 | 67 | 88 | 35,000 | 65,751.16 | 176 | 3 | 39 | 0 | 7 | 12 | 1 | 28 | 0 | 22 | 5 | 0 | 13 | 16 | 8 | 1 | 2 | 26 | 4 | 1 | 0 | 0 | 2 | 3 | 78 | 21 | 4 | 15 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 10 TO 12 | 67 | 89 | 47,200 | 88,670.14 | 180 | 3 | 47 | 0 | 8 | 13 | 1 | 31 | 0 | 24 | 5 | 0 | 13 | 15 | 9 | 2 | 1 | 24 | 5 | 1 | 0 | 0 | 3 | 4 | 82 | 23 | 4 | 18 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 10 TO 12 | 67 | 89 | 43,500 | 81,719.3 | 180 | 3 | 47 | 0 | 8 | 13 | 1 | 31 | 0 | 24 | 5 | 0 | 13 | 15 | 9 | 2 | 1 | 24 | 5 | 1 | 0 | 0 | 3 | 4 | 82 | 23 | 4 | 18 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 07 TO 09 | 68 | 89 | 37,000 | 69,508.37 | 186 | 3 | 49 | 0 | 8 | 14 | 2 | 35 | 0 | 24 | 5 | 0 | 14 | 17 | 9 | 2 | 3 | 24 | 5 | 1 | 0 | 0 | 3 | 5 | 82 | 22 | 5 | 19 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 01 TO 03 | 68 | 89 | 47,200 | 88,670.14 | 187 | 2 | 40 | 0 | 7 | 12 | 1 | 28 | 0 | 24 | 5 | 0 | 13 | 17 | 9 | 1 | 1 | 21 | 4 | 1 | 0 | 0 | 3 | 3 | 76 | 21 | 4 | 18 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 04 TO 06 | 68 | 94 | 52,000 | 97,687.44 | 180 | 1 | 36 | 0 | 6 | 12 | 1 | 26 | 0 | 23 | 5 | 0 | 12 | 16 | 9 | 1 | 1 | 21 | 4 | 1 | 0 | 0 | 2 | 3 | 74 | 19 | 4 | 15 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 01 TO 03 | 67 | 89 | 37,000 | 69,508.37 | 175 | 1 | 35 | 0 | 6 | 12 | 1 | 26 | 0 | 23 | 5 | 0 | 12 | 17 | 9 | 1 | 1 | 22 | 4 | 1 | 0 | 0 | 2 | 3 | 73 | 19 | 4 | 15 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 13 TO 15 | 67 | 89 | 38,000 | 71,386.97 | 175 | 1 | 35 | 0 | 6 | 12 | 1 | 26 | 0 | 23 | 5 | 0 | 12 | 17 | 9 | 1 | 1 | 22 | 4 | 1 | 0 | 0 | 2 | 3 | 73 | 19 | 4 | 15 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 07 TO 09 | 82 | 89 | 45,000 | 84,537.21 | 175 | 2 | 35 | 0 | 7 | 12 | 1 | 26 | 0 | 23 | 5 | 0 | 12 | 15 | 9 | 1 | 1 | 22 | 4 | 1 | 0 | 0 | 2 | 3 | 73 | 19 | 4 | 15 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 10 TO 12 | 67 | 89 | 47,000 | 88,294.41 | 175 | 2 | 35 | 0 | 7 | 12 | 1 | 26 | 0 | 23 | 5 | 0 | 12 | 15 | 9 | 1 | 1 | 22 | 4 | 1 | 0 | 0 | 2 | 3 | 73 | 19 | 4 | 15 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 07 TO 09 | 68 | 89 | 46,000 | 86,415.81 | 172 | 2 | 36 | 0 | 7 | 12 | 1 | 26 | 0 | 23 | 5 | 0 | 12 | 15 | 9 | 1 | 1 | 22 | 4 | 1 | 0 | 0 | 2 | 3 | 73 | 20 | 4 | 15 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 04 TO 06 | 68 | 89 | 47,200 | 88,670.14 | 174 | 3 | 36 | 0 | 7 | 12 | 1 | 27 | 0 | 23 | 5 | 0 | 12 | 16 | 8 | 1 | 2 | 26 | 4 | 2 | 0 | 0 | 2 | 3 | 76 | 21 | 5 | 12 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 04 TO 06 | 68 | 89 | 46,500 | 87,355.11 | 174 | 3 | 36 | 0 | 7 | 12 | 1 | 27 | 0 | 23 | 5 | 0 | 12 | 16 | 8 | 1 | 2 | 26 | 4 | 2 | 0 | 0 | 2 | 3 | 76 | 21 | 5 | 12 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 04 TO 06 | 68 | 89 | 35,000 | 65,751.16 | 174 | 3 | 37 | 0 | 6 | 12 | 1 | 27 | 0 | 23 | 5 | 0 | 12 | 16 | 8 | 1 | 2 | 26 | 4 | 2 | 0 | 0 | 2 | 3 | 75 | 20 | 5 | 14 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 04 TO 06 | 68 | 89 | 43,000 | 80,780 | 174 | 3 | 37 | 0 | 6 | 12 | 1 | 27 | 0 | 23 | 5 | 0 | 12 | 16 | 8 | 1 | 2 | 26 | 4 | 2 | 0 | 0 | 2 | 3 | 75 | 20 | 5 | 14 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 01 TO 03 | 67 | 89 | 47,200 | 88,670.14 | 133 | 3 | 19 | 3 | 3 | 6 | 1 | 20 | 0 | 6 | 4 | 0 | 0 | 11 | 2 | 1 | 1 | 19 | 7 | 1 | 0 | 0 | 2 | 2 | 41 | 15 | 4 | 10 | 1 | 0 | 1 |
1990-01 | 3 ROOM | 07 TO 09 | 67 | 89 | 46,500 | 87,355.11 | 137 | 5 | 25 | 3 | 3 | 7 | 1 | 22 | 0 | 6 | 4 | 0 | 1 | 13 | 3 | 1 | 1 | 22 | 7 | 1 | 0 | 0 | 2 | 2 | 44 | 15 | 4 | 11 | 1 | 0 | 1 |
1990-01 | 3 ROOM | 07 TO 09 | 67 | 89 | 47,000 | 88,294.41 | 139 | 5 | 25 | 3 | 3 | 7 | 1 | 22 | 0 | 6 | 4 | 0 | 1 | 13 | 3 | 1 | 1 | 22 | 7 | 1 | 0 | 0 | 2 | 2 | 45 | 16 | 4 | 11 | 1 | 0 | 1 |
1990-01 | 3 ROOM | 01 TO 03 | 82 | 89 | 44,000 | 82,658.6 | 150 | 5 | 25 | 3 | 3 | 7 | 1 | 22 | 0 | 6 | 4 | 0 | 2 | 13 | 3 | 1 | 1 | 22 | 7 | 1 | 0 | 0 | 2 | 2 | 48 | 16 | 4 | 12 | 1 | 0 | 1 |
1990-01 | 3 ROOM | 10 TO 12 | 67 | 89 | 47,000 | 88,294.41 | 152 | 5 | 27 | 3 | 4 | 8 | 1 | 22 | 0 | 8 | 4 | 0 | 2 | 14 | 3 | 1 | 1 | 22 | 7 | 1 | 0 | 0 | 2 | 2 | 51 | 16 | 4 | 14 | 1 | 0 | 1 |
1990-01 | 3 ROOM | 01 TO 03 | 68 | 89 | 43,000 | 80,780 | 187 | 4 | 36 | 0 | 7 | 8 | 1 | 25 | 0 | 19 | 5 | 0 | 13 | 15 | 4 | 1 | 2 | 25 | 4 | 2 | 0 | 0 | 2 | 2 | 61 | 22 | 5 | 15 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 04 TO 06 | 68 | 89 | 34,500 | 64,811.86 | 187 | 4 | 36 | 0 | 7 | 8 | 1 | 25 | 0 | 19 | 5 | 0 | 13 | 15 | 4 | 1 | 2 | 25 | 4 | 2 | 0 | 0 | 2 | 2 | 61 | 22 | 5 | 15 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 04 TO 06 | 68 | 90 | 45,300 | 85,100.79 | 190 | 4 | 34 | 0 | 7 | 8 | 1 | 24 | 0 | 19 | 5 | 0 | 13 | 15 | 4 | 1 | 2 | 25 | 5 | 2 | 0 | 0 | 2 | 2 | 61 | 21 | 4 | 13 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 07 TO 09 | 82 | 89 | 50,000 | 93,930.23 | 155 | 5 | 31 | 3 | 6 | 8 | 1 | 25 | 0 | 14 | 4 | 0 | 13 | 16 | 3 | 1 | 1 | 22 | 7 | 1 | 0 | 0 | 2 | 2 | 58 | 17 | 4 | 14 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 10 TO 12 | 68 | 89 | 42,000 | 78,901.39 | 148 | 4 | 29 | 3 | 4 | 7 | 1 | 22 | 0 | 12 | 4 | 0 | 9 | 16 | 3 | 1 | 1 | 22 | 6 | 1 | 0 | 0 | 2 | 2 | 50 | 17 | 4 | 14 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 04 TO 06 | 68 | 89 | 47,200 | 88,670.14 | 172 | 3 | 37 | 0 | 7 | 12 | 1 | 28 | 0 | 23 | 5 | 0 | 13 | 16 | 8 | 1 | 2 | 26 | 4 | 2 | 0 | 0 | 2 | 3 | 77 | 21 | 5 | 14 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 01 TO 03 | 67 | 93 | 52,500 | 98,626.74 | 186 | 3 | 38 | 0 | 7 | 11 | 1 | 28 | 0 | 21 | 5 | 0 | 14 | 15 | 7 | 1 | 2 | 25 | 4 | 2 | 0 | 0 | 2 | 3 | 73 | 21 | 5 | 17 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 04 TO 06 | 82 | 93 | 45,500 | 85,476.51 | 186 | 3 | 38 | 0 | 7 | 11 | 1 | 28 | 0 | 21 | 5 | 0 | 14 | 15 | 7 | 1 | 2 | 25 | 4 | 2 | 0 | 0 | 2 | 3 | 73 | 21 | 5 | 17 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 07 TO 09 | 75 | 89 | 47,000 | 88,294.41 | 169 | 5 | 31 | 0 | 6 | 8 | 1 | 26 | 0 | 16 | 4 | 0 | 14 | 17 | 3 | 1 | 2 | 24 | 7 | 2 | 0 | 0 | 2 | 2 | 66 | 19 | 4 | 16 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 04 TO 06 | 68 | 90 | 35,000 | 65,751.16 | 174 | 2 | 39 | 0 | 7 | 12 | 1 | 26 | 0 | 24 | 5 | 0 | 12 | 18 | 9 | 1 | 2 | 23 | 4 | 1 | 0 | 0 | 2 | 3 | 74 | 20 | 5 | 16 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 01 TO 03 | 68 | 90 | 44,000 | 82,658.6 | 165 | 2 | 37 | 0 | 7 | 12 | 1 | 27 | 0 | 23 | 5 | 0 | 12 | 16 | 9 | 1 | 2 | 23 | 4 | 1 | 0 | 0 | 2 | 3 | 74 | 19 | 4 | 16 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 07 TO 09 | 82 | 90 | 63,000 | 118,352.09 | 178 | 2 | 35 | 0 | 10 | 12 | 1 | 28 | 0 | 24 | 5 | 0 | 12 | 16 | 9 | 1 | 2 | 24 | 4 | 1 | 0 | 0 | 2 | 4 | 76 | 23 | 5 | 15 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 01 TO 03 | 68 | 89 | 45,600 | 85,664.37 | 158 | 4 | 32 | 0 | 6 | 8 | 1 | 26 | 0 | 18 | 4 | 0 | 13 | 17 | 3 | 1 | 2 | 23 | 6 | 2 | 0 | 0 | 2 | 2 | 62 | 20 | 4 | 16 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 01 TO 03 | 68 | 89 | 47,000 | 88,294.41 | 154 | 4 | 31 | 0 | 6 | 8 | 1 | 26 | 0 | 17 | 4 | 0 | 12 | 17 | 3 | 1 | 2 | 23 | 6 | 2 | 0 | 0 | 2 | 2 | 61 | 20 | 4 | 14 | 2 | 0 | 1 |
1990-01 | 3 ROOM | 07 TO 09 | 68 | 90 | 52,000 | 97,687.44 | 195 | 4 | 52 | 1 | 8 | 14 | 2 | 46 | 0 | 28 | 6 | 0 | 15 | 17 | 15 | 2 | 4 | 36 | 7 | 1 | 4 | 0 | 4 | 6 | 100 | 26 | 5 | 21 | 1 | 0 | 1 |
1990-01 | 3 ROOM | 07 TO 09 | 68 | 90 | 43,000 | 80,780 | 190 | 4 | 51 | 1 | 8 | 14 | 2 | 43 | 0 | 29 | 6 | 0 | 14 | 16 | 15 | 2 | 4 | 33 | 6 | 1 | 4 | 0 | 4 | 6 | 102 | 26 | 5 | 20 | 1 | 0 | 1 |
1990-01 | 3 ROOM | 04 TO 06 | 68 | 90 | 38,000 | 71,386.97 | 174 | 5 | 33 | 0 | 6 | 8 | 1 | 28 | 0 | 18 | 5 | 0 | 14 | 16 | 3 | 1 | 2 | 24 | 7 | 2 | 0 | 0 | 2 | 2 | 70 | 20 | 4 | 17 | 2 | 0 | 1 |
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