DataGenerator

DataGenerator is a JavaScript CLI tool designed for generating sample employee datasets, progressively enhanced across three versions. Each version adds features useful for testing, data analysis, and visualization.

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JavaScript File Versions

• DataGenerator_v1.0_Basic.js
• DataGenerator_v2.0_Statistics.js
• DataGenerator_v3.0_NameAnalysis.js

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Requirements

• Node.js with ES6 syntax support
• Node.js modules readline and util (included in Node.js)

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Application Usage

1. Open the Terminal in the directory containing the EmployeeDataGenerator.js file.

2. Start the application by running:

   node DataGenerator.js

   This initiates an interactive CLI session where you can configure parameters for data generation.

3. Configure Parameters:

   • Select Output Type

     Choose the type of output data to generate:

     Which part of the output would you like to display?
     1 => List of employees
     2 => Employee statistics and sorted list
     3 => Name frequency statistics
     4 => All information about employees
     Enter a number (1-4):
     

     Options:

     • 1: List of generated employees.
     • 2: Basic statistics with sorted employee list.
     • 3: Name frequency statistics.
     • 4: All information.

   • Set Age Range and Number of Employees

     After selecting output type, you will be prompted to define the minimum and maximum employee ages (between 18 and 100) and specify the number of employees:

     Enter the minimum age of employees (18 to 100):
     Enter the maximum age of employees (18 to 100):
     Enter the number of employees to generate:
     

4. Result

   Based on your selected options, the application will generate and display employee data in the structured dtoOut format.

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Version Descriptions

v1.0 - Basic Employee Data

Generates randomized employee data, including names, birthdates, gender, and workload.

Key Features:

• Employee Data Generation: Creates records with random attributes.
• Configurable Input: Specify the number of employees and age range.
• Interactive CLI: User-friendly interface for setting data preferences.

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v2.0 - Statistics Enhanced

Adds comprehensive statistical insights on employee data.

Key Features:

• Statistics: Displays total employee count, workload distribution, and age metrics.
• Advanced Analysis: Includes median and average calculations, plus gender-specific workload analysis.

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v3.0 - Name Frequency Analytics

Provides detailed name frequency analysis, allowing for workforce insights.

Key Features:

• Name Analysis: Calculates common names for:
  • All employees, male and female employees, and specific workload groups.
• Chart-Ready Data: Outputs name frequency data in a format compatible with charting.

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Each version of DataGenerator progressively builds upon the last, providing a robust tool for generating, analyzing, and visualizing sample workforce data. This makes DataGenerator ideal for testing, analytics, and educational purposes.