Probability Distribution Simulator

The Probability Distribution Simulator is an interactive Shiny app designed to help users explore and visualize three key probability distributions: Normal, Uniform, and Binomial. It provides an engaging way to understand statistical concepts by allowing users to modify distribution parameters and see real-time updates in graphical representations.

This project highlights expertise in interactive application development, data visualization, and statistical computing. With real-time feedback and user-friendly controls, the Probability Distribution Simulator serves as a valuable tool for students, researchers, and professionals in the field of statistics.

Technologies Used:

• Programming Languages: R
• Frameworks/Libraries: Shiny, ggplot2
• Interactivity: Shiny's reactive framework for real-time updates
• Data Visualization: Histogram plots using ggplot2
• Error Handling: Input validation for user-friendly interactions

Key Features:

• Multiple Probability Distributions:

  Users can explore Normal, Uniform, and Binomial distributions to study their statistical properties and visualize probability behavior.

• Interactive Parameter Adjustments:

  With sliders and dropdown menus, users can dynamically modify parameters like mean, standard deviation, range, and probability of success.

• Real-Time Histogram Visualization:

  Changes to parameters are instantly reflected in a histogram, offering immediate feedback for better statistical understanding.

• User-Friendly Error Handling:

  The app includes validation checks to prevent invalid inputs, ensuring a smooth and error-free experience.

• Responsive Web Interface:

  Built using Shiny, the application provides a clean and intuitive user experience, accessible on various devices.

• Scalability and Extensibility:

  Designed to incorporate additional probability distributions and features like cumulative distribution functions and statistical summaries.

This project showcases proficiency in statistical computing, interactive UI development, and real-time data visualization, making it a strong addition to my portfolio.

Live Demo: Try the Probability Distribution Simulator