E-commerce13 cols · 200 rows
This dataset provides granular, line-item records of point-of-sale transactions, including product details, quantities, pricing, discounts, payment methods, and references to customers and store locations. It is ideal for retail analytics, sales performance tracking, and customer behavior analysis, enabling businesses to optimize inventory, marketing, and operational strategies.
| product_name | quantity | payment_method |
|---|
| Standard Widget | 2 | credit_card |
| Promo Mug | 1 | cash |
| Premium Headphones | 1 | debit_card |
transaction_idtransaction_datetimecustomer_id+7 more
Other18 cols · 200 rows
This dataset provides detailed transaction-level sales data from small local retailers, including product, payment, and retailer information. It enables comprehensive analysis of sales trends, business performance, and consumer behavior, supporting decision-making for retail operations and market research.
| retailer_name | product_name | product_category |
|---|
| SuperMart Downtown | Organic Milk Gallon | Grocery |
| ElectroHub | Bluetooth Headphones | Electronics |
| Fashionista | Summer Dress | Apparel |
transaction_idtransaction_dateretailer_id+12 more
Finance20 cols · 200 rows
This dataset contains detailed, structured expense records including transaction dates, amounts, categories, payment methods, merchant details, and location information. It is ideal for personal finance management, business accounting, machine learning classification, and budgeting applications, providing granular insights into spending patterns and expense tracking.
| merchant_name | amount | category |
|---|
| The Grove Bistro | 53.25 | Food |
| Pacific Utilities | 0 | Other |
| Netflix Australia | 19.99 | Entertainment |
currencyis_business_expensereceipt_available+14 more
Finance18 cols · 200 rows
This dataset provides detailed, household-level records of income and expenses, including transaction categories, payment methods, recurrence patterns, and basic household demographics. It enables comprehensive budgeting analysis, supports financial literacy initiatives, and can power personalized financial recommendations and research into household spending habits.
| record_type | category | subcategory |
|---|
| income | salary | – |
| expense | rent | – |
| income | investment | dividends |
household_idrecord_idamount+12 more
Human Resources26 cols · 202 rows
This dataset provides a comprehensive view of employee records, including personal information, job roles, departmental assignments, salary details, employment history, and performance metrics. It is designed to support workforce management, HR analytics, and organizational planning, making it ideal for data-driven decision-making in human resources.
| first_name | last_name | job_title |
|---|
| Isabella | Martinez | Lead Software Engineer |
| Aditya | Singh | Financial Analyst |
| Sophie | Durand | Marketing Director |
employee_iddate_of_birthemail+20 more
Finance16 cols · 100 rows
This dataset provides a comprehensive view of accounts receivable balances, aging buckets, collection rates, bad debt, write-offs, and AR days, enabling organizations to monitor financial performance and optimize collection strategies. It supports granular analysis by payer and invoice, facilitating prioritization of collection efforts and risk assessment for outstanding receivables.
| payer_name | payer_type | aging_bucket |
|---|
| Springfield Health Insurance | insurance | 1-30 |
| Green Valley Medical | customer | Current |
| MetroCare Partners | insurance | 61-90 |
ar_record_idpayer_idinvoice_id+10 more
Human Resources12 cols · 62 rows
This dataset provides a detailed, period-based ledger of employee leave accruals, usage, and balances across multiple leave types and departments. It supports compliance monitoring, resource planning, and trend analysis for HR teams, offering granular visibility into workforce availability and leave patterns.
| employee_name | leave_type | status |
|---|
| Maria Chen | annual | active |
| David Singh | sick | active |
| Sarah Albright | annual | active |
employee_iddepartmentperiod_start_date+6 more
E-commerce23 cols · 200 rows
This dataset provides a detailed record of customer purchase histories, including order metadata, item-level details, shipping and tracking information, and customer lifetime value metrics. It enables comprehensive analysis of purchasing behavior, order fulfillment, and customer value for e-commerce businesses. The data is structured for easy integration with analytics platforms and supports advanced segmentation and forecasting.
| order_status | currency | item_name |
|---|
| delivered | USD | Wireless Mouse |
| shipped | CNY | Smartphone Stand |
| delivered | EUR | Yoga Mat |
order_idcustomer_idcustomer_email+17 more
Manufacturing9 cols · 200 rows
This dataset provides detailed, shift-level defect counts for each product type and manufacturing line, enabling granular quality control analysis and predictive modeling. With fields for defect categories, production volumes, and calculated defect rates, it supports both operational monitoring and advanced AI-driven analytics to improve manufacturing processes.
| shift | defect_type | defect_rate |
|---|
| Morning | Surface | 0.01 |
| Afternoon | Mechanical | 0 |
| Night | Electrical | 0.12632 |
production_lineproduct_typetotal_units_produced+3 more
Other15 cols · 200 rows
This dataset provides anonymized, daily foot traffic counts for physical retail locations, enriched with store details, holiday indicators, weather conditions, and special event annotations. It enables robust sales forecasting, staffing optimization, and marketing campaign impact analysis by correlating footfall with external factors and store attributes.
| store_name | day_of_week | is_holiday |
|---|
| FreshMart Downtown | Friday | false |
| MegaMart Uptown | Saturday | false |
| Boutique Parisienne | Friday | true |
foot_traffic_idstore_idstore_street_address+9 more
Education16 cols · 200 rows
This dataset provides detailed academic performance records for students, including individual course grades, GPA calculations, credit information, and academic standing per term. It is ideal for tracking student progress, analyzing academic trends, and supporting institutional reporting and interventions.
| student_first_name | student_last_name | course_name |
|---|
| Emily | Garcia | Calculus I |
| Jamal | ONeil | Introduction to Psychology |
| Priya | Singh | Organic Chemistry |
record_idstudent_iddate_of_birth+10 more