Datasets:

lisagrace
/

datasethungbeo

Modalities:

Formats:

Size:

Libraries:

Dataset card Data Studio Files Files and versions Community

Dataset Viewer

Auto-converted to Parquet

Split (1)

train · 291k rows

Search is not available for this dataset

SK_ID_CURR int64	PREV_AMT_ANNUITY_MIN float64	PREV_AMT_ANNUITY_MAX float64	PREV_AMT_ANNUITY_MEAN float64	PREV_AMT_APPLICATION_MIN float64	PREV_AMT_APPLICATION_MAX float64	PREV_AMT_APPLICATION_MEAN float64	PREV_AMT_CREDIT_MIN float64	PREV_AMT_CREDIT_MAX float64	PREV_AMT_CREDIT_MEAN float64	PREV_APP_CREDIT_PERC_MIN float64	PREV_APP_CREDIT_PERC_MAX float64	PREV_APP_CREDIT_PERC_MEAN float64	PREV_APP_CREDIT_PERC_VAR float64	PREV_AMT_DOWN_PAYMENT_MIN float64	PREV_AMT_DOWN_PAYMENT_MAX float64	PREV_AMT_DOWN_PAYMENT_MEAN float64	PREV_AMT_GOODS_PRICE_MIN float64	PREV_AMT_GOODS_PRICE_MAX float64	PREV_AMT_GOODS_PRICE_MEAN float64	PREV_RATE_DOWN_PAYMENT_MIN float64	PREV_RATE_DOWN_PAYMENT_MAX float64	PREV_RATE_DOWN_PAYMENT_MEAN float64	PREV_DAYS_DECISION_MIN int64	PREV_DAYS_DECISION_MAX int64	PREV_DAYS_DECISION_MEAN float64	PREV_CNT_PAYMENT_MEAN float64	PREV_CNT_PAYMENT_SUM float64	PREV_NAME_CONTRACT_TYPE_Cash loans_MEAN float64	PREV_NAME_CONTRACT_TYPE_Consumer loans_MEAN float64	PREV_NAME_CONTRACT_TYPE_Revolving loans_MEAN float64	PREV_NAME_CONTRACT_TYPE_XNA_MEAN float64	PREV_NAME_CONTRACT_TYPE_nan_MEAN float64	PREV_WEEKDAY_APPR_PROCESS_START_WEEKEND_MEAN float64	PREV_WEEKDAY_APPR_PROCESS_START_WEEK_DAY_MEAN float64	PREV_WEEKDAY_APPR_PROCESS_START_nan_MEAN float64	PREV_HOUR_APPR_PROCESS_START_off_hours_MEAN float64	PREV_HOUR_APPR_PROCESS_START_working_hours_MEAN float64	PREV_HOUR_APPR_PROCESS_START_nan_MEAN float64	PREV_FLAG_LAST_APPL_PER_CONTRACT_N_MEAN float64	PREV_FLAG_LAST_APPL_PER_CONTRACT_Y_MEAN float64	PREV_FLAG_LAST_APPL_PER_CONTRACT_nan_MEAN float64	PREV_NAME_CASH_LOAN_PURPOSE_Building a house or an annex_MEAN float64	PREV_NAME_CASH_LOAN_PURPOSE_Business development_MEAN float64	PREV_NAME_CASH_LOAN_PURPOSE_Buying a garage_MEAN float64	PREV_NAME_CASH_LOAN_PURPOSE_Buying a holiday home / land_MEAN float64	PREV_NAME_CASH_LOAN_PURPOSE_Buying a home_MEAN float64	PREV_NAME_CASH_LOAN_PURPOSE_Buying a new car_MEAN float64	PREV_NAME_CASH_LOAN_PURPOSE_Buying a used car_MEAN float64	PREV_NAME_CASH_LOAN_PURPOSE_Car repairs_MEAN float64	PREV_NAME_CASH_LOAN_PURPOSE_Education_MEAN float64	PREV_NAME_CASH_LOAN_PURPOSE_Everyday expenses_MEAN float64	PREV_NAME_CASH_LOAN_PURPOSE_Furniture_MEAN float64	PREV_NAME_CASH_LOAN_PURPOSE_Gasification / water supply_MEAN float64	PREV_NAME_CASH_LOAN_PURPOSE_Hobby_MEAN float64	PREV_NAME_CASH_LOAN_PURPOSE_Journey_MEAN float64	PREV_NAME_CASH_LOAN_PURPOSE_Medicine_MEAN float64	PREV_NAME_CASH_LOAN_PURPOSE_Money for a third person_MEAN float64	PREV_NAME_CASH_LOAN_PURPOSE_Other_MEAN float64	PREV_NAME_CASH_LOAN_PURPOSE_Payments on other loans_MEAN float64	PREV_NAME_CASH_LOAN_PURPOSE_Purchase of electronic equipment_MEAN float64	PREV_NAME_CASH_LOAN_PURPOSE_Refusal to name the goal_MEAN float64	PREV_NAME_CASH_LOAN_PURPOSE_Repairs_MEAN float64	PREV_NAME_CASH_LOAN_PURPOSE_Urgent needs_MEAN float64	PREV_NAME_CASH_LOAN_PURPOSE_Wedding / gift / holiday_MEAN float64	PREV_NAME_CASH_LOAN_PURPOSE_XAP_MEAN float64	PREV_NAME_CASH_LOAN_PURPOSE_XNA_MEAN float64	PREV_NAME_CASH_LOAN_PURPOSE_nan_MEAN float64	PREV_NAME_CONTRACT_STATUS_Approved_MEAN float64	PREV_NAME_CONTRACT_STATUS_Canceled_MEAN float64	PREV_NAME_CONTRACT_STATUS_Refused_MEAN float64	PREV_NAME_CONTRACT_STATUS_Unused offer_MEAN float64	PREV_NAME_CONTRACT_STATUS_nan_MEAN float64	PREV_NAME_PAYMENT_TYPE_Cash through the bank_MEAN float64	PREV_NAME_PAYMENT_TYPE_Cashless from the account of the employer_MEAN float64	PREV_NAME_PAYMENT_TYPE_Non-cash from your account_MEAN float64	PREV_NAME_PAYMENT_TYPE_XNA_MEAN float64	PREV_NAME_PAYMENT_TYPE_nan_MEAN float64	PREV_CODE_REJECT_REASON_CLIENT_MEAN float64	PREV_CODE_REJECT_REASON_HC_MEAN float64	PREV_CODE_REJECT_REASON_LIMIT_MEAN float64	PREV_CODE_REJECT_REASON_SCO_MEAN float64	PREV_CODE_REJECT_REASON_SCOFR_MEAN float64	PREV_CODE_REJECT_REASON_SYSTEM_MEAN float64	PREV_CODE_REJECT_REASON_VERIF_MEAN float64	PREV_CODE_REJECT_REASON_XAP_MEAN float64	PREV_CODE_REJECT_REASON_XNA_MEAN float64	PREV_CODE_REJECT_REASON_nan_MEAN float64	PREV_NAME_TYPE_SUITE_Children_MEAN float64	PREV_NAME_TYPE_SUITE_Family_MEAN float64	PREV_NAME_TYPE_SUITE_Group of people_MEAN float64	PREV_NAME_TYPE_SUITE_Other_A_MEAN float64	PREV_NAME_TYPE_SUITE_Other_B_MEAN float64	PREV_NAME_TYPE_SUITE_Spouse, partner_MEAN float64	PREV_NAME_TYPE_SUITE_Unaccompanied_MEAN float64	PREV_NAME_TYPE_SUITE_nan_MEAN float64	PREV_NAME_CLIENT_TYPE_New_MEAN float64	PREV_NAME_CLIENT_TYPE_Refreshed_MEAN float64	PREV_NAME_CLIENT_TYPE_Repeater_MEAN float64	PREV_NAME_CLIENT_TYPE_XNA_MEAN float64	PREV_NAME_CLIENT_TYPE_nan_MEAN float64	PREV_NAME_GOODS_CATEGORY_Additional Service_MEAN float64	PREV_NAME_GOODS_CATEGORY_Animals_MEAN float64	PREV_NAME_GOODS_CATEGORY_Audio/Video_MEAN float64	PREV_NAME_GOODS_CATEGORY_Auto Accessories_MEAN float64	PREV_NAME_GOODS_CATEGORY_Clothing and Accessories_MEAN float64	PREV_NAME_GOODS_CATEGORY_Computers_MEAN float64	PREV_NAME_GOODS_CATEGORY_Construction Materials_MEAN float64	PREV_NAME_GOODS_CATEGORY_Consumer Electronics_MEAN float64	PREV_NAME_GOODS_CATEGORY_Direct Sales_MEAN float64	PREV_NAME_GOODS_CATEGORY_Education_MEAN float64	PREV_NAME_GOODS_CATEGORY_Fitness_MEAN float64	PREV_NAME_GOODS_CATEGORY_Furniture_MEAN float64	PREV_NAME_GOODS_CATEGORY_Gardening_MEAN float64	PREV_NAME_GOODS_CATEGORY_Homewares_MEAN float64	PREV_NAME_GOODS_CATEGORY_Insurance_MEAN float64	PREV_NAME_GOODS_CATEGORY_Jewelry_MEAN float64	PREV_NAME_GOODS_CATEGORY_Medical Supplies_MEAN float64	PREV_NAME_GOODS_CATEGORY_Medicine_MEAN float64	PREV_NAME_GOODS_CATEGORY_Mobile_MEAN float64	PREV_NAME_GOODS_CATEGORY_Office Appliances_MEAN float64	PREV_NAME_GOODS_CATEGORY_Other_MEAN float64	PREV_NAME_GOODS_CATEGORY_Photo / Cinema Equipment_MEAN float64	PREV_NAME_GOODS_CATEGORY_Sport and Leisure_MEAN float64	PREV_NAME_GOODS_CATEGORY_Tourism_MEAN float64	PREV_NAME_GOODS_CATEGORY_Vehicles_MEAN float64	PREV_NAME_GOODS_CATEGORY_Weapon_MEAN float64	PREV_NAME_GOODS_CATEGORY_XNA_MEAN float64	PREV_NAME_GOODS_CATEGORY_nan_MEAN float64	PREV_NAME_PORTFOLIO_Cards_MEAN float64	PREV_NAME_PORTFOLIO_Cars_MEAN float64	PREV_NAME_PORTFOLIO_Cash_MEAN float64	PREV_NAME_PORTFOLIO_POS_MEAN float64	PREV_NAME_PORTFOLIO_XNA_MEAN float64	PREV_NAME_PORTFOLIO_nan_MEAN float64	PREV_NAME_PRODUCT_TYPE_XNA_MEAN float64	PREV_NAME_PRODUCT_TYPE_walk-in_MEAN float64	PREV_NAME_PRODUCT_TYPE_x-sell_MEAN float64	PREV_NAME_PRODUCT_TYPE_nan_MEAN float64	PREV_CHANNEL_TYPE_AP+ (Cash loan)_MEAN float64	PREV_CHANNEL_TYPE_Car dealer_MEAN float64	PREV_CHANNEL_TYPE_Channel of corporate sales_MEAN float64	PREV_CHANNEL_TYPE_Contact center_MEAN float64	PREV_CHANNEL_TYPE_Country-wide_MEAN float64	PREV_CHANNEL_TYPE_Credit and cash offices_MEAN float64	PREV_CHANNEL_TYPE_Regional / Local_MEAN float64	PREV_CHANNEL_TYPE_Stone_MEAN float64	PREV_CHANNEL_TYPE_nan_MEAN float64	PREV_NAME_SELLER_INDUSTRY_Auto technology_MEAN float64	PREV_NAME_SELLER_INDUSTRY_Clothing_MEAN float64	PREV_NAME_SELLER_INDUSTRY_Connectivity_MEAN float64	PREV_NAME_SELLER_INDUSTRY_Construction_MEAN float64	PREV_NAME_SELLER_INDUSTRY_Consumer electronics_MEAN float64	PREV_NAME_SELLER_INDUSTRY_Furniture_MEAN float64	PREV_NAME_SELLER_INDUSTRY_Industry_MEAN float64	PREV_NAME_SELLER_INDUSTRY_Jewelry_MEAN float64	PREV_NAME_SELLER_INDUSTRY_MLM partners_MEAN float64	PREV_NAME_SELLER_INDUSTRY_Tourism_MEAN float64	PREV_NAME_SELLER_INDUSTRY_XNA_MEAN float64	PREV_NAME_SELLER_INDUSTRY_nan_MEAN float64	PREV_NAME_YIELD_GROUP_XNA_MEAN float64	PREV_NAME_YIELD_GROUP_high_MEAN float64	PREV_NAME_YIELD_GROUP_low_action_MEAN float64	PREV_NAME_YIELD_GROUP_low_normal_MEAN float64	PREV_NAME_YIELD_GROUP_middle_MEAN float64	PREV_NAME_YIELD_GROUP_nan_MEAN float64	PREV_PRODUCT_COMBINATION_Card Street_MEAN float64	PREV_PRODUCT_COMBINATION_Card X-Sell_MEAN float64	PREV_PRODUCT_COMBINATION_Cash_MEAN float64	PREV_PRODUCT_COMBINATION_Cash Street: high_MEAN float64	PREV_PRODUCT_COMBINATION_Cash Street: low_MEAN float64	PREV_PRODUCT_COMBINATION_Cash Street: middle_MEAN float64	PREV_PRODUCT_COMBINATION_Cash X-Sell: high_MEAN float64	PREV_PRODUCT_COMBINATION_Cash X-Sell: low_MEAN float64	PREV_PRODUCT_COMBINATION_Cash X-Sell: middle_MEAN float64	PREV_PRODUCT_COMBINATION_POS household with interest_MEAN float64	PREV_PRODUCT_COMBINATION_POS household without interest_MEAN float64	PREV_PRODUCT_COMBINATION_POS industry with interest_MEAN float64	PREV_PRODUCT_COMBINATION_POS industry without interest_MEAN float64	PREV_PRODUCT_COMBINATION_POS mobile with interest_MEAN float64	PREV_PRODUCT_COMBINATION_POS mobile without interest_MEAN float64	PREV_PRODUCT_COMBINATION_POS other with interest_MEAN float64	PREV_PRODUCT_COMBINATION_POS others without interest_MEAN float64	PREV_PRODUCT_COMBINATION_nan_MEAN float64	PREV_CHURN_PREV_0_MEAN float64	PREV_CHURN_PREV_1_MEAN float64	PREV_CHURN_PREV_NaN_MEAN float64	PREV_CHURN_PREV_nan_MEAN float64	APPROVED_AMT_ANNUITY_MIN float64	APPROVED_AMT_ANNUITY_MAX float64	APPROVED_AMT_ANNUITY_MEAN float64	APPROVED_AMT_APPLICATION_MIN float64	APPROVED_AMT_APPLICATION_MAX float64	APPROVED_AMT_APPLICATION_MEAN float64	APPROVED_AMT_CREDIT_MIN float64	APPROVED_AMT_CREDIT_MAX float64	APPROVED_AMT_CREDIT_MEAN float64	APPROVED_APP_CREDIT_PERC_MIN float64	APPROVED_APP_CREDIT_PERC_MAX float64	APPROVED_APP_CREDIT_PERC_MEAN float64	APPROVED_APP_CREDIT_PERC_VAR float64	APPROVED_AMT_DOWN_PAYMENT_MIN float64	APPROVED_AMT_DOWN_PAYMENT_MAX float64	APPROVED_AMT_DOWN_PAYMENT_MEAN float64	APPROVED_AMT_GOODS_PRICE_MIN float64	APPROVED_AMT_GOODS_PRICE_MAX float64	APPROVED_AMT_GOODS_PRICE_MEAN float64	APPROVED_RATE_DOWN_PAYMENT_MIN float64	APPROVED_RATE_DOWN_PAYMENT_MAX float64	APPROVED_RATE_DOWN_PAYMENT_MEAN float64	APPROVED_DAYS_DECISION_MIN float64	APPROVED_DAYS_DECISION_MAX float64	APPROVED_DAYS_DECISION_MEAN float64	APPROVED_CNT_PAYMENT_MEAN float64	APPROVED_CNT_PAYMENT_SUM float64	REFUSED_AMT_ANNUITY_MIN float64	REFUSED_AMT_ANNUITY_MAX float64	REFUSED_AMT_ANNUITY_MEAN float64	REFUSED_AMT_APPLICATION_MIN float64	REFUSED_AMT_APPLICATION_MAX float64	REFUSED_AMT_APPLICATION_MEAN float64	REFUSED_AMT_CREDIT_MIN float64	REFUSED_AMT_CREDIT_MAX float64	REFUSED_AMT_CREDIT_MEAN float64	REFUSED_APP_CREDIT_PERC_MIN float64	REFUSED_APP_CREDIT_PERC_MAX float64	REFUSED_APP_CREDIT_PERC_MEAN float64	REFUSED_APP_CREDIT_PERC_VAR float64	REFUSED_AMT_DOWN_PAYMENT_MIN float64	REFUSED_AMT_DOWN_PAYMENT_MAX float64	REFUSED_AMT_DOWN_PAYMENT_MEAN float64	REFUSED_AMT_GOODS_PRICE_MIN float64	REFUSED_AMT_GOODS_PRICE_MAX float64	REFUSED_AMT_GOODS_PRICE_MEAN float64	REFUSED_RATE_DOWN_PAYMENT_MIN float64	REFUSED_RATE_DOWN_PAYMENT_MAX float64	REFUSED_RATE_DOWN_PAYMENT_MEAN float64	REFUSED_DAYS_DECISION_MIN float64	REFUSED_DAYS_DECISION_MAX float64	REFUSED_DAYS_DECISION_MEAN float64	REFUSED_CNT_PAYMENT_MEAN float64	REFUSED_CNT_PAYMENT_SUM float64
0	2,250	11,180.385	6,659.1375	25,200	120,658.5	78,399	21,928.5	120,658.5	77,853.75	1	1.149189	1.024865	0.00371	0	4,500	900	25,200	120,658.5	78,399	0	0.18544	0.037088	0	1	0.833333	10.666667	64	0	0.833333	0.166667	0	0	0	1	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	0	0	0	0	1	0	0	0.833333	0	0.166667	0	0	0.833333	0	0	0.166667	0	0	0.166667	0	0	0	0	0	0.833333	0	0	0	0.333333	0	0	0	0	0.5	0.166667	0.166667	0	0.833333	0	0	0	0	0.166667	0	0.166667	0.333333	0	0.166667	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.166667	0	0.166667	0	0	0.833333	0	0	0.833333	0.166667	0	0	0	0	0	0	0.5	0	0.5	0	0	0	0.166667	0	0	0.833333	0	0	0	0	0	0	0	0.166667	0	0.333333	0.5	0	0	0.166667	0	0	0	0	0	0	0	0	0.333333	0.333333	0.166667	0	0	0	0	0	0	0.166667	0.666667	0.166667	0	2,250	11,180.385	7,008.858	25,200	120,658.5	72,857.7	21,928.5	120,658.5	72,203.4	1	1.149189	1.029838	0.004451	0	4,500	1,125	25,200	120,658.5	72,857.7	0	0.18544	0.04636	0	1	0.8	8	40	4,910.535	4,910.535	4,910.535	106,105.5	106,105.5	106,105.5	106,105.5	106,105.5	106,105.5	1	1	1	null	0	0	0	106,105.5	106,105.5	106,105.5	0	0	0	1	1	1	24	24
1	2,250	25,996.365	12,909.105	0	337,500	68,303.571429	0	384,277.5	74,634.428571	0.878272	1.026421	0.968231	0.006244	9,562.5	9,562.5	9,562.5	45,000	337,500	159,375	0.101381	0.101381	0.101381	0	1	0.714286	15.333333	46	0.142857	0.142857	0.714286	0	0	0	1	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	0	0.142857	0	0	0.857143	0	0	0.428571	0.571429	0	0	0	0.285714	0	0	0.714286	0	0	0	0	0	0	0	0	1	0	0	0	0.142857	0	0	0	0	0.285714	0.571429	0.142857	0	0.857143	0	0	0	0	0	0	0	0	0	0.142857	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.857143	0	0.142857	0	0.142857	0.142857	0.571429	0	0.714286	0.285714	0	0	0.857143	0	0	0	0	0	0.142857	0	0	0	0	0	0	0.142857	0	0	0	0	0	0.857143	0	0.714286	0.142857	0	0.142857	0	0	0.714286	0	0	0.142857	0	0	0	0	0	0.142857	0	0	0	0	0	0	0	0	0	0.428571	0.571429	0	2,250	25,996.365	12,909.105	45,000	337,500	159,375	45,000	384,277.5	174,147	0.878272	1.026421	0.968231	0.006244	9,562.5	9,562.5	9,562.5	45,000	337,500	159,375	0.101381	0.101381	0.101381	0	1	0.333333	15.333333	46	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null
2	2,457.675	24,577.425	9,705.645	16,420.5	225,000	85,230.12375	14,170.5	239,850	87,738.75	0.938086	1.158781	1.037505	0.008277	1,854.495	8,100	4,291.665	16,420.5	225,000	85,230.12375	0.101379	0.186103	0.129705	0	0	0	9.5	38	0.25	0.75	0	0	0	0.5	0.5	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	0	0	0	0	0.75	0.25	0	1	0	0	0	0	0.25	0	0	0.75	0	0	0	0	0	0	0	0	1	0	0	0	0.5	0	0	0	0	0.5	0	0	0	1	0	0	0	0	0.25	0	0	0	0	0.25	0	0	0	0	0	0	0	0	0	0	0.25	0	0	0	0	0	0	0	0.25	0	0	0	0.25	0.75	0	0	0.75	0	0.25	0	0	0	0	0	0.25	0	0.25	0.5	0	0	0	0.5	0	0	0.5	0	0	0	0	0	0	0	0.5	0	0.25	0.25	0	0	0	0	0	0	0	0	0	0.25	0	0	0.25	0.25	0.25	0	0	0	0	0	1	0	0	2,457.675	24,577.425	9,705.645	16,420.5	225,000	85,230.12375	14,170.5	239,850	87,738.75	0.938086	1.158781	1.037505	0.008277	1,854.495	8,100	4,291.665	16,420.5	225,000	85,230.12375	0.101379	0.186103	0.129705	0	0	0	9.5	38	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null
3	3,404.52	6,750	4,883.83875	0	135,000	41,482.5	0	135,000	43,401	0.904489	1	0.932033	0.002101	0	0	0	29,205	135,000	62,223.75	0	0	0	0	1	0.666667	8.5	34	0.166667	0.5	0.333333	0	0	0.333333	0.666667	0	0.166667	0.833333	0	0	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	0.833333	0.166667	0	0.666667	0.333333	0	0	0	0.166667	0	0	0.833333	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0.166667	0.166667	0.666667	0.166667	0	0.833333	0	0	0	0	0.333333	0	0	0.166667	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.5	0	0.166667	0	0	0.5	0.333333	0	0.833333	0	0.166667	0	0	0	0	0	0.333333	0.5	0.166667	0	0	0	0	0	0	0.5	0	0	0	0	0	0.5	0	0.5	0	0	0.166667	0.333333	0	0.166667	0.166667	0.166667	0	0	0	0	0	0	0.5	0	0	0	0	0	0	0	0	0	0.666667	0.333333	0	3,404.52	6,750	4,883.83875	29,205	135,000	62,223.75	31,774.5	135,000	65,101.5	0.904489	1	0.932033	0.002101	0	0	0	29,205	135,000	62,223.75	0	0	0	0	1	0.5	8.5	34	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null
4	8,957.43	8,957.43	8,957.43	47,250	47,250	47,250	44,631	44,631	44,631	1.058681	1.058681	1.058681	null	4,725	4,725	4,725	47,250	47,250	47,250	0.104262	0.104262	0.104262	0	0	0	6	6	0	1	0	0	0	1	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	0	0	0	0	1	0	0	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	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	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	1	0	0	0	0	0	0	0	0	0	0	1	0	0	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	1	0	0	0	0	0	0	0	0	0	1	0	0	8,957.43	8,957.43	8,957.43	47,250	47,250	47,250	44,631	44,631	44,631	1.058681	1.058681	1.058681	null	4,725	4,725	4,725	47,250	47,250	47,250	0.104262	0.104262	0.104262	0	0	0	6	6	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null
5	9,820.755	9,820.755	9,820.755	74,160	156,496.5	115,328.25	68,247	156,496.5	112,371.75	1	1.086641	1.043321	0.003753	0	11,115	5,557.5	74,160	156,496.5	115,328.25	0	0.152532	0.076266	0	1	0.5	10	10	0	1	0	0	0	0.5	0.5	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	0	0	0	0	1	0	0	0.5	0	0	0.5	0	1	0	0	0	0	0.5	0	0	0	0	0	0	0.5	0	0	0	0.5	0	0	0	0	0	0.5	0.5	0.5	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	0	0	0	0	0	0	0	0	0.5	0.5	0	1	0	0	0	0	0	0	0	0.5	0	0	0.5	0	0	0	0.5	0	0.5	0	0	0	0	0	0	0	0.5	0.5	0	0	0	0	0	0	0	0	0	0	0	0	0	0.5	0	0	0	0.5	0	0	0	0	0	0.5	0.5	0	9,820.755	9,820.755	9,820.755	74,160	74,160	74,160	68,247	68,247	68,247	1.086641	1.086641	1.086641	null	11,115	11,115	11,115	74,160	74,160	74,160	0.152532	0.152532	0.152532	0	0	0	10	10	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null
6	4,442.265	61,977.96	20,206.24875	70,708.5	1,782,000	544,683.375	64,530	1,782,000	543,138.75	1	1.095746	1.023937	0.002292	0	14,143.5	7,071.75	70,708.5	1,782,000	544,683.375	0	0.195791	0.097895	0	1	0.25	34	136	0.5	0.5	0	0	0	0	1	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	0	0	0	0	0.5	0.5	0	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0.25	0.75	0.25	0	0.75	0	0	0	0	0	0	0	0.25	0.25	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.5	0	0	0	0.5	0.5	0	0	0.5	0	0.5	0	0	0	0	0	0.25	0.5	0	0.25	0	0	0	0	0.25	0.25	0	0	0	0	0	0.5	0	0	0	0.25	0.25	0.5	0	0	0	0	0	0	0	0	0.25	0.25	0	0.25	0.25	0	0	0	0	0	0	0.5	0.5	0	0	4,442.265	61,977.96	20,206.24875	70,708.5	1,782,000	544,683.375	64,530	1,782,000	543,138.75	1	1.095746	1.023937	0.002292	0	14,143.5	7,071.75	70,708.5	1,782,000	544,683.375	0	0.195791	0.097895	0	1	0.25	34	136	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null
7	9,961.56	20,411.685	14,665.06125	93,952.8	315,000	189,494.1	92,925	349,096.5	211,649.625	0.77535	1.011061	0.905882	0.006395	9,397.8	9,397.8	9,397.8	93,952.8	315,000	189,494.1	0.100027	0.100027	0.100027	0	1	0.125	15.75	126	0.75	0.125	0.125	0	0	0.375	0.625	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	0	0	0	0	0.25	0.75	0	1	0	0	0	0	0.875	0	0	0.125	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0.625	0.375	0	0.125	0.875	0	0	0	0	0	0	0	0	0	0	0	0	0	0.125	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.875	0	0.125	0	0.75	0.125	0	0	0.125	0.125	0.75	0	0	0	0	0	0	0.875	0.125	0	0	0	0	0	0	0	0.125	0	0	0	0	0.875	0	0.125	0	0	0.25	0.625	0	0.125	0	0	0	0	0	0	0.25	0.5	0	0	0.125	0	0	0	0	0	0	0.125	0.875	0	0	9,961.56	20,411.685	14,665.06125	93,952.8	315,000	189,494.1	92,925	349,096.5	211,649.625	0.77535	1.011061	0.905882	0.006395	9,397.8	9,397.8	9,397.8	93,952.8	315,000	189,494.1	0.100027	0.100027	0.100027	0	1	0.125	15.75	126	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null
8	2,804.85	18,852.435	10,828.6425	35,865	90,000	62,932.5	47,227.5	92,970	70,098.75	0.759409	0.968054	0.863732	0.021766	0	0	0	35,865	90,000	62,932.5	0	0	0	0	1	0.5	15	30	0.5	0.5	0	0	0	0.5	0.5	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	0	0	0.5	0	0.5	0	0	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	1	0	0.5	0	0.5	0	0	0	0	0	0	0	0	0	0.5	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.5	0	0	0	0.5	0.5	0	0	0.5	0.5	0	0	0	0	0	0	0.5	0	0.5	0	0	0	0	0.5	0	0.5	0	0	0	0	0	0	0	0	0.5	0	0	0.5	0	0	0	0	0.5	0	0	0	0	0	0.5	0	0	0	0	0	0	0	0	0.5	0.5	0	0	2,804.85	18,852.435	10,828.6425	35,865	90,000	62,932.5	47,227.5	92,970	70,098.75	0.759409	0.968054	0.863732	0.021766	0	0	0	35,865	90,000	62,932.5	0	0	0	0	1	0.5	15	30	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null
9	18,629.055	66,708	39,335.211	0	1,800,000	343,636.363636	0	1,800,000	343,636.363636	1	1	1	0	0	0	0	180,000	1,800,000	756,000	0	0	0	0	1	0.272727	12	60	0.454545	0	0.545455	0	0	0.363636	0.636364	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	0	0	0	0	0.545455	0.454545	0	0.363636	0.545455	0.090909	0	0	0.272727	0	0	0.727273	0	0	0.090909	0	0	0	0	0	0.909091	0	0	0	0	0	0	0	0	0.454545	0.545455	0.090909	0	0.909091	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	0	0	0	1	0	0.181818	0	0.272727	0	0.545455	0	0.545455	0.090909	0.363636	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0.727273	0	0.090909	0.090909	0.090909	0	0.363636	0.181818	0.181818	0	0	0.090909	0	0.181818	0	0	0	0	0	0	0	0	0	0	0	0.363636	0.636364	0	18,629.055	66,708	43,544.01375	180,000	1,800,000	832,500	180,000	1,800,000	832,500	1	1	1	0	0	0	0	180,000	1,800,000	832,500	0	0	0	0	1	0.25	15	60	22,500	22,500	22,500	450,000	450,000	450,000	450,000	450,000	450,000	1	1	1	null	null	null	null	450,000	450,000	450,000	null	null	null	0	0	0	0	0
10	5,989.995	43,412.22	17,975.192143	70,420.5	1,350,000	403,391.571429	84,366	1,546,020	466,658.357143	0.812348	0.902335	0.855123	0.001189	0	0	0	70,420.5	1,350,000	403,391.571429	0	0	0	0	0	0	37.714286	264	0.714286	0.285714	0	0	0	0	1	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	0	0.142857	0	0	0.285714	0.571429	0	0.714286	0	0.285714	0	0	1	0	0	0	0	0	0.285714	0	0	0	0	0	0.714286	0	0	0.285714	0	0	0	0	0	0.428571	0.285714	0.285714	0	0.714286	0	0	0	0	0.142857	0	0	0	0	0.142857	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.714286	0	0	0	0.714286	0.285714	0	0	0.285714	0.142857	0.571429	0	0	0	0	0	0	0.714286	0.285714	0	0	0	0	0	0	0.285714	0	0	0	0	0	0.714286	0	0	0.285714	0	0.142857	0.571429	0	0	0	0	0	0.142857	0	0	0	0.571429	0.285714	0	0	0	0	0	0	0	0	0.285714	0.428571	0.285714	0	6,614.505	25,156.98	15,284.826	112,500	495,000	280,664.1	134,775	553,950	327,244.5	0.812348	0.902335	0.85559	0.001597	0	0	0	112,500	495,000	280,664.1	0	0	0	0	0	0	36	180	5,989.995	43,412.22	24,701.1075	70,420.5	1,350,000	710,210.25	84,366	1,546,020	815,193	0.834702	0.87321	0.853956	0.000741	0	0	0	70,420.5	1,350,000	710,210.25	0	0	0	0	0	0	42	84
11	2,883.06	38,964.195	12,509.906786	0	1,147,500	134,908.578529	0	1,280,794.5	156,556.958824	0	1.182149	0.89969	0.077668	0	6,877.035	1,760.615	0	1,147,500	163,817.559643	0	0.167811	0.042019	0	0	0	13.714286	192	0.647059	0.294118	0.058824	0	0	0.235294	0.764706	0	0.235294	0.764706	0	0	1	0	0	0	0	0	0	0	0	0	0	0.058824	0	0	0	0	0	0	0.058824	0	0	0	0	0	0	0.352941	0.529412	0	0.647059	0.176471	0.176471	0	0	0.764706	0	0	0.235294	0	0	0.058824	0.058824	0.058824	0	0	0	0.823529	0	0	0	0	0	0	0	0	0.647059	0.352941	0.058824	0	0.941176	0	0	0	0	0	0	0	0	0.058824	0.058824	0	0	0	0	0	0	0	0	0	0	0.117647	0	0	0	0	0	0	0	0.764706	0	0.058824	0	0.470588	0.294118	0.176471	0	0.470588	0.235294	0.294118	0	0.058824	0	0	0	0.294118	0.647059	0	0	0	0	0	0.117647	0.058824	0.117647	0	0	0	0	0	0.705882	0	0.235294	0.294118	0.058824	0.176471	0.235294	0	0.058824	0	0.176471	0.235294	0	0.058824	0	0.058824	0.117647	0.058824	0.058824	0.058824	0	0.058824	0.058824	0	0	0	0	0.647059	0.352941	0	4,836.015	38,964.195	12,870.81	0	1,147,500	187,430.985	43,528.5	1,280,794.5	218,354.481818	0	1.111176	0.876084	0.089856	0	6,877.035	1,890.9225	0	1,147,500	187,430.985	0	0.108967	0.03506	0	0	0	14.181818	156	2,883.06	17,389.8	11,186.595	29,205	112,500	77,235	24,705	144,864	86,523	0.77659	1.182149	0.986247	0.041261	0	4,500	1,500	29,205	112,500	77,235	0	0.167811	0.055937	0	0	0	12	36
12	3,564.27	6,832.125	5,458.23	21,600	67,500	48,030	12,960	71,955	47,235	0.938086	1.666667	1.191019	0.169909	0	8,640	4,320	21,600	67,500	48,030	0	0.435636	0.217818	0	1	0.333333	8.666667	26	0.333333	0.666667	0	0	0	0	1	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	0	0	0	0	0.666667	0.333333	0	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0.666667	0.333333	0.333333	0	0.666667	0	0	0	0	0.333333	0	0	0	0	0	0	0	0	0.333333	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.333333	0	0	0	0.333333	0.666667	0	0	0.666667	0	0.333333	0	0.333333	0	0	0	0	0	0	0.666667	0	0	0	0	0	0.333333	0.333333	0	0	0	0	0.333333	0	0	0	0.333333	0.333333	0.333333	0	0	0	0	0	0	0	0	0.333333	0	0.333333	0	0	0.333333	0	0	0	0	0	0.333333	0.666667	0	0	3,564.27	6,832.125	5,458.23	21,600	67,500	48,030	12,960	71,955	47,235	0.938086	1.666667	1.191019	0.169909	0	8,640	4,320	21,600	67,500	48,030	0	0.435636	0.217818	0	1	0.333333	8.666667	26	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null
13	3,018.33	16,832.43	6,823.5525	15,921	96,804	41,593.3875	15,039	91,431	39,883.5	0.97734	1.058766	1.030302	0.001478	1,593	9,684	4,315.3875	15,921	96,804	41,593.3875	0.101385	0.129438	0.10986	0	0	0	7	28	0	1	0	0	0	0.25	0.75	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	0	0	0	0	1	0	0	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0.25	0	0	0	0.5	0.25	0	0.25	0.25	0.5	0	0	0	0	0	0	0	0.25	0	0.25	0	0	0	0	0	0	0	0	0	0	0.5	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	1	0	0	0	0	0	0	0	0.5	0	0	0.5	0	0	0	0.5	0	0.5	0	0	0	0	0	0	0	0	0.25	0	0.5	0.25	0	0	0	0	0	0	0	0	0	0	0.5	0	0	0	0.5	0	0	0	0	0	1	0	0	3,018.33	16,832.43	6,823.5525	15,921	96,804	41,593.3875	15,039	91,431	39,883.5	0.97734	1.058766	1.030302	0.001478	1,593	9,684	4,315.3875	15,921	96,804	41,593.3875	0.101385	0.129438	0.10986	0	0	0	7	28	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null
14	3,544.605	22,500	11,813.661	0	180,000	66,163.5	18,985.5	450,000	156,583.8	0	1.313092	0.872193	0.261832	2,025	19,269	9,315	20,115	180,000	82,704.375	0.104967	0.307801	0.173909	0	0	0	8	40	0.2	0.6	0.2	0	0	0	1	0	0.2	0.8	0	0	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	0.8	0.2	0	1	0	0	0	0	0.8	0	0	0.2	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0.6	0.4	0.2	0	0.8	0	0	0	0	0	0	0	0	0.4	0	0	0	0	0	0	0	0	0.2	0	0	0	0	0	0	0	0	0	0	0.4	0	0.2	0	0.2	0.6	0	0	0.6	0	0.4	0	0	0	0	0	0	0.4	0	0.6	0	0	0	0	0.4	0	0	0.2	0	0	0	0.4	0	0.2	0.2	0	0.2	0.4	0	0	0.2	0	0	0	0	0	0	0.2	0	0	0.4	0	0	0	0.2	0	0	0	1	0	0	3,544.605	22,500	11,813.661	0	180,000	66,163.5	18,985.5	450,000	156,583.8	0	1.313092	0.872193	0.261832	2,025	19,269	9,315	20,115	180,000	82,704.375	0.104967	0.307801	0.173909	0	0	0	8	40	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null

End of preview. Expand in Data Studio

No dataset card yet

Downloads last month: 4

Size of downloaded dataset files:

Size of the auto-converted Parquet files:

Number of rows: