Datasets

Here are some dummy datasets created for machine learning and analysis. You can download and use them for your projects.

Students Dataset

This dataset includes information about students' grades and personal aptitude scores. It can be used for machine learning and analysis.

  • StudentID: Unique identifier for each student.
  • Age: Age of the student (between 16 and 22).
  • Gender: Gender of the student (Male or Female).
  • Grade_Math, Grade_English, Grade_Science, Grade_History: Grades in respective subjects (between 50 and 100).
  • Attendance: Attendance percentage (between 70 and 100).
  • Behavior_Score, Participation_Score, Punctuality_Score, Homework_Completion_Score: Personal aptitude scores (between 0 and 5).
Download Students Dataset
Employees Dataset

This dataset includes information about employees' contributions, merit pay, and cost calculations. It can be used for machine learning and analysis.

  • EmployeeID: Unique identifier for each employee.
  • Age: Age of the employee (between 25 and 60).
  • Gender: Gender of the employee (Male or Female).
  • Position: Job position of the employee.
  • Years_of_Experience: Number of years of experience (between 1 and 35).
  • Base_Salary: Base salary of the employee (between 30,000 and 120,000).
  • Payroll_Taxes: Payroll taxes paid by the employee (between 3,000 and 12,000).
  • Benefits: Benefits received by the employee (between 2,000 and 10,000).
  • Merit_Contributions: Contributions done by the employee (0-10 scale).
  • Exceeds_Quota: Indicator if the employee exceeds their quota (0 or 1).
  • Annual_Overhead_Costs: Annual overhead costs attributed to the employee (between 5,000 and 20,000).
  • Total_Compensation: Total compensation of the employee (sum of base salary, payroll taxes, and benefits).
  • Cost_per_Employee: Cost per employee considering total compensation and annual overhead costs.
Download Employees Dataset
Laptop Shipments Dataset

This dataset includes information about laptop shipments, including destination and type of laptop. It can be used for machine learning and analysis.

  • ShipmentID: Unique identifier for each shipment.
  • Destination_Country: Destination country for the shipment.
  • Destination_City: Destination city for the shipment.
  • Type_of_Laptop: Type of laptop being shipped (e.g., Gaming, Business, Ultrabook, Convertible, Netbook).
  • Brand: Brand of the laptop being shipped (e.g., Dell, HP, Lenovo, Apple, Asus, Acer, Microsoft, Samsung).
  • Quantity: Number of laptops in the shipment.
  • Shipment_Date: Date when the shipment is sent.
  • Expected_Delivery_Date: Expected delivery date of the shipment.
  • Shipping_Cost: Cost of shipping the laptops.
  • Status: Current status of the shipment (e.g., Pending, Shipped, Delivered, Cancelled).
Download Laptop Shipments Dataset