Transportation20 cols · 200 rows
This dataset provides detailed records of fleet vehicle trips, including vehicle and driver information, route details, trip timings, load and fuel metrics, and utilization rates. It enables comprehensive analysis of fleet usage patterns, route coverage, and operational efficiency, supporting data-driven fleet optimization and strategic management.
| vehicle_type | route_name | driver_name |
|---|
| truck | East City Distribution Run | Gabriel Martinez |
| van | Westside Express | Jessica Liu |
| car | Downtown Shuttle | Amir Hassan |
vehicle_idroute_idroute_start_location+14 more
Finance19 cols · 200 rows
This dataset provides granular records of merchant transactions scored for risk, including transaction details, merchant and customer identifiers, risk assessment metrics, and compliance/fraud flags. It enables financial institutions to identify suspicious activity, support regulatory compliance, and optimize fraud detection workflows with actionable insights.
| merchant_name | merchant_category | review_status |
|---|
| BrightMart | retail | cleared |
| Gourmet Foods | food | cleared |
| TechZone | electronics | escalated |
transaction_idmerchant_idtransaction_datetime+13 more
Healthcare20 cols · 200 rows
This dataset provides granular records of laboratory and imaging diagnostic test utilization across healthcare facilities, including test details, patient demographics, provider roles, costs, and result statuses. It enables comprehensive analysis of usage trends, resource allocation, and cost management, supporting data-driven decision-making for healthcare administrators and policy makers.
| facility_name | facility_type | test_name |
|---|
| Northeast Hospital | hospital | Complete Blood Count |
| Central Clinic | clinic | Urinalysis Panel |
| Metro Imaging Center | imaging_center | MRI Brain |
test_utilization_idfacility_idtest_id+14 more
Finance25 cols · 200 rows
This dataset provides detailed borrower profiles and comprehensive loan performance records, including payment history and default status, to support advanced risk modeling and mitigation strategies. It is ideal for predictive analytics, credit scoring, and financial risk assessment in lending environments.
| borrower_name | borrower_employment_status | loan_status |
|---|
| Jacob Thompson | employed | active |
| Priya Iyer | employed | closed |
| Lucas Brown | retired | delinquent |
loan_idborrower_idborrower_dob+19 more
Healthcare22 cols · 200 rows
This dataset provides detailed pharmaceutical inventory demand forecasts for pharmacies, leveraging historical demand and seasonal trends to predict future needs. It includes product and pharmacy identifiers, forecast periods, risk assessments, and recommended order quantities, supporting efficient inventory management and minimizing stockouts and waste.
| pharmacy_name | product_name | product_category |
|---|
| Central Pharmacy New York | Acetaminophen 500mg | analgesic |
| Lakeside Medical Supply | Amoxicillin 250mg | antibiotic |
| Hilltop Pharmacy | Lisinopril 10mg | antihypertensive |
forecast_idpharmacy_idpharmacy_street_address+16 more
Logistics30 cols · 200 rows
This dataset provides granular details on optimized supply chain shipment routes, including origin and destination addresses, vehicle assignments, freight load metrics, delivery times, and route costs. It enables logistics professionals to analyze and improve delivery efficiency, reduce transportation costs, and benchmark route optimization strategies across multiple carriers and vehicle types.
| origin_facility_name | destination_facility_name | vehicle_type |
|---|
| Chicago Distribution Hub | Dallas Retail Center | truck |
| Toronto Main Terminal | Montreal Logistics Point | rail |
| Bremen Port Warehouse | Mumbai Shipping Yard | ship |
route_idshipment_idorigin_street_address+24 more
Finance21 cols · 201 rows
This dataset provides detailed records of credit card fraud alerts, including suspicious transaction details, merchant information, alert status, and investigator actions. It enables financial institutions to detect, investigate, and respond to fraudulent activities efficiently, supporting enterprise risk management and loss mitigation.
| merchant_name | merchant_category | transaction_type |
|---|
| SpeedyMart | Convenience Store | purchase |
| Tokyo Luxury Gifts | Luxury Retail | purchase |
| Quick Cafe | Food & Beverage | purchase |
alert_idtransaction_idcard_number_masked+15 more
Healthcare21 cols · 200 rows
This dataset provides detailed, time-stamped records of healthcare facility resource utilization by department, including capacity, usage, and availability for key assets such as beds, equipment, and staff. It enables operational efficiency analytics, resource planning, and real-time monitoring to optimize healthcare delivery and manage surge scenarios.
| facility_name | department_name | resource_type |
|---|
| Metropolitan General Hospital | Emergency | bed |
| Lakeside Medical Center | ICU | ventilator |
| Sunrise Children Hospital | Pediatrics | bed |
facility_idfacility_street_addressfacility_city+15 more
Healthcare29 cols · 200 rows
This dataset provides detailed records of pharmacy inventory movements, including receipts, dispenses, adjustments, returns, and transfers. Each transaction is linked to pharmacy, product, supplier, and patient entities, with granular tracking of stock levels, costs, and transaction types. Ideal for inventory optimization, demand forecasting, and stockout prevention in healthcare supply chains.
| pharmacy_name | product_name | product_category |
|---|
| Main Street Pharmacy | Metformin Hydrochloride | diabetic |
| Westlake Drugs | Amoxicillin | antibiotic |
| Toronto General Pharmacy | Ibuprofen | analgesic |
transaction_idpharmacy_idpharmacy_street_address+23 more
Healthcare25 cols · 200 rows
This dataset provides comprehensive healthcare risk assessment records, including patient demographics, clinical attributes, calculated risk scores, and assessment metadata. It is ideal for precision medicine, population health analytics, and policy modeling, enabling researchers and healthcare organizations to stratify risk, identify high-risk populations, and inform targeted interventions.
| risk_category | smoking_status | insurance_type |
|---|
| Low | Never | Private |
| Medium | Former | Private |
| Low | Never | Medicaid |
risk_score_idpatient_idassessment_date+19 more
Healthcare22 cols · 200 rows
This dataset contains detailed synthetic records of healthcare procedure costs, including patient demographics, provider information, procedure details, and comprehensive financial breakdowns. Designed for cost modeling and pricing analytics, it enables in-depth analysis of healthcare expenses, demographic trends, and provider performance across various medical procedures.
| patient_gender | insurance_type | provider_name |
|---|
| female | medicaid | UCSF Pediatrics |
| male | private | NYU Cardiology |
| male | medicare | Northwestern Hospital |
record_idpatient_idpatient_age+16 more
Healthcare21 cols · 200 rows
This dataset provides detailed records of appointment requests and scheduling outcomes for primary care clinics, including patient demographics, preferences, wait times, and location details. It enables healthcare organizations to analyze scheduling efficiency, identify bottlenecks, and optimize appointment allocation to reduce patient wait times and improve resource utilization.
| appointment_type | scheduling_status | cancellation_reason |
|---|
| routine | scheduled | – |
| urgent | scheduled | – |
| other | pending | – |
appointment_request_idpatient_idclinic_id+15 more
Healthcare30 cols · 200 rows
This dataset contains detailed, synthetic metadata for patient diagnostic imaging procedures, including patient demographics, procedure specifics, facility information, imaging equipment details, and AI analysis status. It is ideal for optimizing radiology workflows, training AI models for medical image analysis, and supporting operational analytics in healthcare settings.
| procedure_type | facility_name | report_status |
|---|
| Ultrasound | Seattle Children's Hospital | completed |
| CT | Boston Eldercare Center | completed |
| MRI | Chicago Medical Imaging Center | reviewed |
record_idpatient_idpatient_age+24 more
Healthcare26 cols · 200 rows
This dataset provides detailed, structured records of patient-reported and clinician-documented adverse drug events, including drug exposure, event characteristics, patient demographics, and clinical outcomes. It is designed to support pharmacovigilance, drug safety monitoring, and regulatory reporting, enabling robust analysis of drug risks and patient safety signals.
| reporter_type | drug_name | drug_generic_name |
|---|
| clinician | Lipitor | atorvastatin |
| patient | Amoxil | amoxicillin |
| pharmacist | Advair Diskus | fluticasone/salmeterol |
event_idpatient_idreporter_id+20 more
Finance26 cols · 200 rows
This dataset provides detailed B2B invoice payment histories, including invoice amounts, payment delays, business entity profiles, and payment terms. It enables financial planning, cash flow optimization, and risk assessment by revealing payment patterns and behaviors across industries and geographies.
| payment_status | seller_name | buyer_name |
|---|
| paid | Bayshore Retail LLC | Urban Solutions Inc. |
| overdue | Silverleaf Services LLC | Midtown Group PLC |
| unpaid | Crestview Hospitality Inc. | Sunrise Manufacturing GmbH |
invoice_idseller_idbuyer_id+20 more
Insurance18 cols · 200 rows
This dataset provides detailed records of insurance claims, including severity ratings, claim amounts, incident types, policy details, and customer demographics. It is ideal for risk modeling, severity analysis, fraud detection, and insurance pricing optimization, supporting both operational and analytical needs in the insurance industry.
| incident_type | claim_status | policy_type |
|---|
| accident | open | auto |
| liability | pending | health |
| fire | closed | home |
claim_idpolicy_idcustomer_id+12 more
Finance23 cols · 200 rows
This dataset provides granular action logs and rich demographic profiles for users interacting with digital wallets, enabling in-depth analysis of adoption drivers and barriers. It supports behavioral segmentation, trend identification, and targeted strategy development for financial technology products.
| action_type | device_type | os_type |
|---|
| registration | mobile | iOS |
| payment | mobile | Android |
| add_card | mobile | Android |
user_idaction_idaction_timestamp+17 more
Finance32 cols · 200 rows
This dataset provides a comprehensive view of SME loan applications, featuring detailed business profiles, financial metrics, application specifics, and lending decisions. It enables robust credit risk modeling, operational analytics, and benchmarking for financial institutions serving small and medium enterprises.
| business_name | business_type | collateral_type |
|---|
| Greenfield Manufacturing Co | Corporation | Property |
| Sunrise Retail Group | LLC | Inventory |
| TechNova Solutions | Corporation | None |
application_idbusiness_idindustry_sector+26 more
Finance20 cols · 200 rows
This dataset provides detailed, anonymized credit card transaction records, including customer demographics, merchant information, and transaction characteristics. It is designed for in-depth analysis of customer behavior, marketing campaign effectiveness, and fraud detection, making it valuable for financial institutions and data scientists seeking actionable insights.
| merchant_name | merchant_category | transaction_type |
|---|
| FreshMart | grocery | purchase |
| Tech World | electronics | purchase |
| Cafe Mocha | restaurant | purchase |
transaction_idcustomer_idtransaction_datetime+14 more
Finance19 cols · 201 rows
This dataset provides detailed synthetic microtransaction logs, capturing both legitimate and fraudulent activities with realistic attack scenarios. It includes user, transaction, device, location, and fraud scenario fields, making it ideal for developing, benchmarking, and validating fraud detection models in financial microtransaction environments.
| transaction_type | currency | item_category |
|---|
| purchase | USD | electronics |
| deposit | EUR | – |
| purchase | INR | digital_content |
transaction_iduser_idtimestamp+13 more
Finance25 cols · 200 rows
This dataset provides comprehensive behavioral and transaction profiles for bank customers, including demographics, account activity, channel preferences, and churn risk scores. It is designed for advanced customer segmentation, targeted marketing, and predictive analytics to drive retention and personalized banking strategies.
| first_name | last_name | account_type |
|---|
| Maya | Turner | checking |
| Vinay | Joshi | savings |
| Sophie | Evans | investment |
customer_iddate_of_birthgender+19 more
Finance29 cols · 200 rows
This dataset provides comprehensive, flat-structured records of individual loans and borrower profiles, including demographic, financial, and credit information, as well as loan terms, status, and default indicators. It is ideal for building predictive models for loan default risk, optimizing lending portfolios, and conducting borrower risk analysis in financial services.
| borrower_name | borrower_employment_status | loan_type |
|---|
| Emma Rodriguez | employed | auto |
| Noah Patel | self-employed | business |
| Liam Kim | employed | personal |
loan_idborrower_idborrower_age+23 more
Healthcare20 cols · 200 rows
This dataset provides detailed records of clinical trial enrollments, including participant demographics, recruitment sources, eligibility criteria, and enrollment status. It enables comprehensive analysis of recruitment flows, diversity metrics, and participant retention, supporting optimization of trial recruitment strategies and regulatory reporting.
| gender | ethnicity | enrollment_status |
|---|
| female | Not Hispanic or Latino | completed |
| male | Not Hispanic or Latino | completed |
| male | Hispanic or Latino | enrolled |
enrollment_idtrial_idparticipant_id+14 more
Healthcare27 cols · 200 rows
This dataset provides comprehensive tracking of patient prescription fills and refills, capturing detailed adherence metrics, patient demographics, medication details, and pharmacy information. It enables robust analysis of medication adherence patterns and supports outcome improvement strategies for healthcare providers and researchers.
| patient_first_name | patient_last_name | medication_name |
|---|
| Robert | Miller | Atorvastatin |
| Priya | Singh | Metformin |
| James | Nguyen | Amoxicillin |
adherence_idpatient_idpatient_date_of_birth+21 more
Healthcare14 cols · 200 rows
This dataset provides granular logs of healthcare practitioner schedules and activities, including shift timings, activity types, patient counts, and burnout indicators. It enables detailed analysis of clinician workload patterns, supports workforce optimization, and facilitates early detection of burnout risks for improved healthcare delivery.
| practitioner_name | practitioner_role | activity_type |
|---|
| Olivia Bennett | physician | patient_care |
| Emily Chen | nurse | patient_care |
| Martin Gomez | technician | patient_care |
practitioner_iddepartmentschedule_date+8 more
Healthcare32 cols · 200 rows
This dataset provides comprehensive, longitudinal records of patients with chronic illnesses, including demographics, clinical visits, vital signs, lab results, medications, and provider details. It is ideal for analyzing disease progression, evaluating treatment effectiveness, and developing personalized healthcare algorithms for chronic disease management.
| first_name | last_name | chronic_disease_type |
|---|
| Ava | Morrison | Hypertension |
| Lucas | Nguyen | Asthma |
| Noah | Schmidt | Type 2 diabetes |
patient_iddate_of_birthgender+26 more
Healthcare20 cols · 200 rows
This dataset provides detailed, event-level logs of medical device operations and failures, including device identifiers, operating conditions, maintenance actions, and regulatory reporting status. It enables predictive maintenance analytics, supports compliance with healthcare regulations, and facilitates root cause analysis for device reliability improvements.
| device_type | event_type | maintenance_type |
|---|
| X-Ray Scanner | operation | – |
| X-Ray Scanner | failure | Tube cooling system replacement |
| X-Ray Scanner | maintenance | Routine calibration and cleaning |
event_iddevice_idmanufacturer+14 more
Insurance20 cols · 202 rows
This dataset provides detailed records of health insurance claims, including demographic information, clinical codes, financial details, and process statuses. It is ideal for analyzing claim patterns, detecting potential fraud, and optimizing insurance workflows. The inclusion of both member and provider data enables comprehensive trend analysis and risk assessment.
| claim_status | provider_type | claim_type |
|---|
| approved | physician | outpatient |
| submitted | dental | dental |
| approved | lab | outpatient |
claim_idpolicy_idmember_id+14 more
Insurance22 cols · 200 rows
This dataset contains detailed records of healthcare insurance claims, including claim amounts, medical codes, patient and provider information, and fraud indicators. It is designed to support advanced fraud detection and analysis by capturing submission patterns, approval outcomes, and relevant metadata for each claim. The dataset is ideal for insurers, data scientists, and healthcare analysts seeking to identify fraudulent activity and optimize claims processing.
| claim_status | fraud_flag | fraud_detection_method |
|---|
| approved | false | – |
| approved | false | – |
| pending | false | – |
claim_idpatient_idprovider_id+16 more
Healthcare21 cols · 201 rows
This dataset provides detailed records of clinical diagnostic errors, including patient demographics, error types, severity, contributing factors, and outcomes. It enables healthcare organizations to analyze patterns, identify root causes, and implement corrective actions to improve diagnostic accuracy and patient safety. The dataset is ideal for quality improvement initiatives, risk management, and clinical research.
| patient_gender | error_type | error_severity |
|---|
| female | missed | high |
| male | missed | critical |
| female | incorrect | moderate |
error_idpatient_idpatient_age+15 more
Finance30 cols · 200 rows
This dataset provides detailed records of loan applications, including applicant demographics, financial profiles, loan characteristics, approval outcomes, and supporting information such as co-applicant and collateral details. It enables financial institutions to analyze approval trends, assess risk factors, and refine lending criteria for improved decision-making and portfolio management.
| applicant_name | applicant_marital_status | applicant_employment_status |
|---|
| Sophia Martinez | married | employed |
| Jonas Becker | single | self-employed |
| Fatima Ahmed | single | student |
application_idapplicant_idapplicant_dob+24 more
Healthcare19 cols · 200 rows
This dataset provides detailed, patient-level outcome data from clinical drug trials, including demographics, drug administration, efficacy measures, and adverse event reporting. It enables comprehensive analysis of drug effectiveness and safety across diverse populations, supporting regulatory submissions, pharmacovigilance, and clinical research. The dataset is structured for interoperability and advanced analytics.
| drug_name | administration_route | trial_completion_status |
|---|
| Zyproxil | oral | completed |
| Zyproxil | oral | completed |
| Zyproxil | oral | completed |
patient_idtrial_iddosage_mg+13 more
Finance32 cols · 200 rows
This dataset provides detailed mortgage loan records, including borrower profiles, property information, loan terms, payment history, and default/foreclosure status. It is designed to help lenders assess and predict mortgage default risk, optimize portfolio management, and support regulatory compliance and risk modeling initiatives.
| borrower_first_name | borrower_last_name | borrower_employment_status |
|---|
| Emily | Smith | employed |
| Marcus | Evans | self-employed |
| Priya | Sharma | employed |
loan_idborrower_idborrower_date_of_birth+26 more
Healthcare28 cols · 200 rows
This dataset provides a comprehensive view of pharmacy inventory, combining historical sales and replenishment data with predictive stock needs for each product and location. It enables pharmacies to optimize inventory levels, reduce stockouts, and improve operational efficiency by leveraging data-driven forecasting. The dataset includes detailed product, supplier, and location information for robust analytics and compliance.
| pharmacy_name | product_name | product_category |
|---|
| Central City Pharmacy | Acetaminophen Extra Strength | Analgesic |
| Riverside Wellness Rx | Vitamin D3 2000 IU | Supplement |
| MountainView Rx | Metformin Hydrochloride | Antidiabetic |
inventory_idpharmacy_idpharmacy_street_address+22 more
Finance23 cols · 200 rows
This dataset provides detailed records of financial transactions, enriched with fraud detection indicators, device and location metadata, and merchant information. It is designed to help financial institutions identify and analyze fraudulent activities, supporting both real-time monitoring and historical pattern analysis for risk mitigation and compliance.
| transaction_type | merchant_name | device_type |
|---|
| purchase | Amazon US | mobile |
| transfer | – | desktop |
| withdrawal | – | ATM |
transaction_idaccount_idcustomer_id+17 more
Healthcare19 cols · 200 rows
This dataset provides comprehensive tracking of patient medication adherence, including detailed patient demographics, medication regimens, adherence events, and triggered interventions. It enables healthcare providers to monitor patterns, identify non-adherence risks, and evaluate the effectiveness of intervention strategies to improve patient health outcomes.
| patient_first_name | patient_last_name | medication_name |
|---|
| Emily | Nguyen | Lisinopril |
| Joshua | Peters | Metformin |
| Sofia | Garcia | Amoxicillin |
adherence_idpatient_idpatient_date_of_birth+13 more
Finance33 cols · 200 rows
This dataset provides detailed profiles of credit applicants, including personal information, financial history, credit scores, loan application details, and risk assessments. It is designed to support financial institutions in evaluating creditworthiness, modeling risk, and making informed lending decisions. The dataset is ideal for predictive analytics, regulatory compliance, and portfolio management.
| first_name | last_name | employment_status |
|---|
| Sophia | Martinez | employed |
| Mohammed | Ali | self-employed |
| Priya | Sharma | student |
applicant_iddate_of_birthgender+27 more
Healthcare21 cols · 200 rows
This dataset provides detailed records of hospital admissions, including patient demographics, diagnoses, comorbidities, risk factors, and calculated risk scores. It is designed to support predictive analytics for identifying high-risk patients, optimizing resource allocation, and guiding targeted interventions in healthcare settings.
| admission_type | discharge_status | insurance_type |
|---|
| emergency | recovered | public |
| urgent | transferred | public |
| elective | recovered | private |
admission_idpatient_idadmission_date+15 more
Finance14 cols · 200 rows
This dataset provides detailed simulated stock portfolio allocations, including asset class breakdowns, risk profiles, and return metrics for investor accounts. It is ideal for financial research, portfolio optimization studies, and risk-return analysis, offering granular insights into investment strategies and outcomes.
| investor_profile | asset_class_equity_pct | asset_class_fixed_income_pct |
|---|
| conservative | 12 | 81 |
| aggressive | 74 | 4 |
| balanced | 47 | 35 |
account_idallocation_dateasset_class_cash_pct+8 more
Healthcare23 cols · 200 rows
This dataset provides a detailed view of healthcare provider referral events, capturing information about referring and receiving providers, patient demographics, referral reasons, statuses, and outcomes. It enables healthcare networks to analyze referral patterns, identify bottlenecks in patient navigation, and improve provider collaboration for better patient care.
| referring_provider_name | receiving_provider_name | referral_status |
|---|
| Dr. Alice Morgan | Dr. Henry Cole | completed |
| Dr. Brian Chen | Dr. Emily Finch | completed |
| Dr. Carla James | Dr. John Oliver | completed |
referral_idpatient_idreferring_provider_id+17 more
Insurance23 cols · 200 rows
This dataset provides a comprehensive view of insurance policy renewals, combining detailed policy attributes, customer demographics, claims history, payment behavior, and renewal outcomes. It is ideal for predictive modeling, customer retention analysis, and operational optimization in the insurance industry.
| policy_type | payment_frequency | policy_status |
|---|
| auto | annual | active |
| home | annual | expired |
| health | monthly | active |
policy_idcustomer_idpolicy_start_date+17 more
Finance13 cols · 200 rows
This dataset provides detailed, user-level engagement and transaction metrics for a fintech app, including feature usage, transaction volumes, device types, and premium status. It enables startups to analyze user behavior, optimize product features, and track engagement trends for targeted improvements and growth strategies.
| device_type | feature_name | is_premium_user |
|---|
| Android | Transfer | true |
| iOS | Budgeting | false |
| Web | Analytics | false |
user_idsignup_datelast_active_datetime+7 more
Healthcare15 cols · 200 rows
This dataset provides comprehensive, time-stamped records of chronic disease progression for individual patients, including clinical measurements, symptom severity, treatment details, and adverse events. It enables longitudinal analysis of disease outcomes and treatment effectiveness, supporting research, clinical decision-making, and population health studies.
| disease_name | treatment_type | treatment_name |
|---|
| Type 2 Diabetes Mellitus | lifestyle_modification | Diet control, walking |
| Essential Hypertension | medication | Lisinopril 10mg |
| Asthma, Unspecified | medication | Albuterol inhaler |
record_idpatient_iddisease_code+9 more
Finance14 cols · 200 rows
This dataset provides granular records of financial transactions between accounts, including timestamps, amounts, account types, and risk flags. It is optimized for network graph analysis to uncover money flow patterns, identify suspicious activities, and map relationships across banking entities. Ideal for financial crime detection, compliance monitoring, and network risk assessment.
| transaction_type | status | sender_account_type |
|---|
| payment | completed | individual |
| refund | completed | individual |
| transfer | pending | business |
transaction_idtimestampamount+8 more
Healthcare24 cols · 200 rows
This dataset provides comprehensive metadata for medical imaging studies across multiple modalities, including technical parameters, workflow status, and institutional context. It is ideal for AI/ML research, operational analytics, and workflow optimization in healthcare imaging environments, supporting classification, resource planning, and longitudinal patient analysis.
| modality | institution_name | workflow_status |
|---|
| CT | Starlake Medical Center | Completed |
| MRI | River City Hospital | Reported |
| X-ray | Downtown Imaging Center | Completed |
image_idpatient_idbody_part_examined+18 more
Finance25 cols · 200 rows
This dataset provides comprehensive records of corporate expense reimbursements, including employee, approver, payment, and vendor details. It is designed to streamline finance operations, enable robust policy compliance monitoring, and support advanced fraud detection analytics for organizations of any size.
| employee_name | expense_category | approver_name |
|---|
| Sarah Lin | Meals | Carla Jimenez |
| Jonas Schmidt | Office Supplies | Mohammed Rizvi |
| Maria Fernandes | Entertainment | Lucas Oliveira |
reimbursement_idemployee_iddepartment+19 more
Healthcare20 cols · 200 rows
This dataset provides comprehensive, labeled clinical visit records including patient demographics, provider information, diagnosis and procedure billing codes, and billing outcomes. It is designed for automating and improving medical billing processes, supporting predictive analytics, and enabling robust healthcare revenue cycle management.
| visit_type | insurance_type | payment_status |
|---|
| outpatient | private | paid |
| outpatient | private | paid |
| outpatient | medicaid | paid |
visit_idpatient_idprovider_id+14 more
Finance28 cols · 200 rows
This dataset contains rich, structured information about bank customers, including demographics, account details, product holdings, financial metrics, and segmentation labels. It is ideal for financial institutions seeking to personalize marketing, manage risk, and identify cross-selling opportunities through data-driven customer segmentation and profiling.
| first_name | last_name | account_type |
|---|
| Alex | Jones | checking |
| Meera | Singh | student |
| Riley | Brown | savings |
customer_idgenderdate_of_birth+22 more
Healthcare18 cols · 200 rows
This dataset provides comprehensive records of clinical pathway adherence, detailing prescribed versus followed interventions for individual patients across healthcare encounters. It enables health systems to monitor compliance, identify deviations, and analyze reasons for non-adherence, supporting targeted quality improvement and evidence-based care optimization.
| pathway_name | adherence_status | facility_name |
|---|
| Diabetes Management | adherent | Urban Health Center |
| Diabetes Management | non-adherent | Urban Health Center |
| Heart Failure | adherent | River Valley Hospital |
adherence_idpatient_idencounter_id+12 more
Finance13 cols · 200 rows
This dataset provides granular, daily-level historical stock price data, calculated volatility features over multiple time windows, and annotated significant events impacting stocks. It is ideal for financial modeling, risk analytics, and event-driven market research, enabling robust analysis of price dynamics and volatility patterns.
| open_price | event_type | event_impact |
|---|
| 192.45 | none | – |
| 188.62 | earnings | positive |
| 144.67 | dividend | neutral |
stock_iddateclose_price+7 more
Healthcare25 cols · 200 rows
This dataset contains detailed healthcare appointment scheduling records, including patient demographics, provider and clinic information, appointment statuses, and resource allocation metrics. It is designed to help clinics optimize scheduling, reduce no-show rates, and improve resource management through actionable insights.
| clinic_name | provider_name | appointment_type |
|---|
| Children's Health Plus | Dr. Emily Carter | vaccination |
| Elderly Wellness Care | Dr. Brian Ford | physical |
| Downtown Medical Center | Dr. Susan Lin | consultation |
appointment_idpatient_idpatient_age+19 more
Finance18 cols · 200 rows
This dataset provides granular, transaction-level data on digital wallet usage, including top-ups, peer-to-peer transfers, and merchant payments. It features rich contextual information such as user, wallet, merchant, device, and location details, making it ideal for payment analytics, fraud detection, and fintech product development.
| transaction_type | status | merchant_name |
|---|
| top-up | completed | – |
| transfer | pending | – |
| merchant-payment | completed | Tesco Express |
transaction_iduser_idtransaction_datetime+12 more
Healthcare21 cols · 200 rows
This dataset provides detailed, participant-level tracking of recruitment, eligibility, enrollment, and dropout trends across multiple clinical trials and sites. It enables granular analysis of recruitment strategies, participant demographics, and site performance, supporting optimization of clinical research processes and improved trial outcomes.
| site_name | eligibility_status | dropout_status |
|---|
| New York Neurology Clinic | Eligible | false |
| Manhattan Medical Center | Eligible | true |
| Denver Children's Hospital | Eligible | false |
trial_idtrial_titletrial_phase+15 more
Finance28 cols · 200 rows
This dataset provides a comprehensive record of historical loan applications, including applicant demographics, financial profiles, loan details, and approval decisions. It is ideal for developing and validating credit scoring models, automating loan approval workflows, and analyzing lending risk factors across diverse applicant segments.
| approval_status | loan_type | applicant_name |
|---|
| approved | personal | Jessica Lee |
| pending | student | Minho Park |
| approved | mortgage | Ricardo Alvarez |
application_idapplicant_idapplication_date+22 more
Healthcare22 cols · 200 rows
This dataset provides detailed, labeled records of hospital admissions, including patient demographics, diagnoses, procedures, and outcomes related to readmission. It is designed to support predictive modeling for hospital readmissions, enabling health systems to identify risk factors, optimize care transitions, and reduce costs. The comprehensive schema facilitates advanced analytics and machine learning applications in healthcare quality improvement.
| readmitted | admission_type | insurance_type |
|---|
| false | elective | private |
| true | emergency | medicare |
| false | emergency | medicare |
patient_idadmission_idadmission_date+16 more
Finance23 cols · 200 rows
This dataset provides granular, real-time financial transaction records enriched with device, geo-location, and behavioral features, along with model-generated fraud risk scores. It is ideal for training, evaluating, and deploying machine learning models for fraud detection, and supports operational monitoring and regulatory reporting. The comprehensive schema enables deep analysis of transaction patterns and risk factors across accounts, devices, and geographies.
| merchant_category | transaction_type | device_type |
|---|
| grocery | purchase | mobile |
| travel | purchase | desktop |
| online services | payment | tablet |
transaction_idaccount_idtransaction_datetime+17 more
Healthcare15 cols · 200 rows
This dataset provides a comprehensive view of medical device usage across healthcare facilities, detailing allocation, utilization rates, breakdown events, and maintenance scheduling. It enables healthcare organizations to optimize device deployment, improve maintenance efficiency, and reduce downtime, supporting data-driven decisions for patient care and operational excellence.
| device_type | location_department | utilization_rate |
|---|
| MRI Scanner | Radiology | 82.3 |
| X-Ray Machine | Orthopedics | 67.8 |
| CT Scanner | Emergency | 91.1 |
device_idmanufacturerinstallation_date+9 more
Insurance24 cols · 200 rows
This dataset provides granular insurance claims data with fraud labels, customer demographics, policy details, and suspicious pattern indicators. It is ideal for training fraud detection models, analyzing risk factors, and supporting operational audits in the insurance sector. The dataset enables insurers and analysts to identify fraud trends, profile risky customers, and optimize claim review processes.
| claim_type | claim_status | policy_type |
|---|
| auto | approved | comprehensive |
| health | approved | health |
| life | approved | life |
claim_idpolicy_idcustomer_id+18 more
Healthcare23 cols · 200 rows
This dataset provides detailed, location-specific pharmacy inventory records, including product stock levels, demand forecasts, reorder patterns, and risk flags for stockouts and excess inventory. It enables supply chain optimization, predictive analytics, and operational efficiency for pharmacies by integrating product, demand, and location data. Ideal for inventory management, demand planning, and reducing waste in pharmaceutical retail.
| pharmacy_name | product_name | product_category |
|---|
| CityCare Pharmacy | Ibuprofen 200mg Tablets | painkiller |
| EcoPharm Berlin | Metformin XR 500mg | antidiabetic |
| Central Pharmacy | Amoxicillin 500mg Capsules | antibiotic |
pharmacy_idaddress_streetaddress_city+17 more
Finance30 cols · 200 rows
This dataset provides a comprehensive view of customer loan histories, payment behaviors, and annotated default events, enabling financial institutions to proactively identify and manage potential credit risks. It includes detailed customer profiles, loan attributes, payment records, and risk indicators, making it ideal for predictive analytics and early warning systems.
| first_name | last_name | marital_status |
|---|
| Ava | Miller | single |
| Zachary | Nguyen | married |
| Maya | Petrov | single |
customer_iddate_of_birthgender+24 more