CLT Web APP (Data Science Course-9 Project)

For more details on CLT Web APP please visit https://binfang.shinyapps.io/CLT_Simulation/.

This web app is built to verify Central Limit Theorem, one of the most important theorem in the area of statistics, by simulation and some following analysis of the data.

This web app may be very useful for teaching in statistics classes, especially to show students vividly how CLT works for various origins of data. R shiny is used to develop CLT Web APP.

ui.R and server.R files to generate CLT Web APP can be found from https://github.com/metalgarurumon/Data_Science_Coursera.

• Sidebar Panel:

  1. Control simulation details
  2. Specify output formats
  3. Download the plot in a local computer
     

• Main Panel:

  1. Instructions
  2. Validity of Parameters
  3. Random Sampling Results
  4. Summary of Sample Mean
  5. Plot of Sample Mean

• User-friendly Interface and Detailed Instruction
• Generate Random Sample from Various Distribution
• Create Interactive Summary Table and Plot for Analysis
• Personalized Specification for Simulation and Outputs
• Usage of Delayed Reacitivity in R shiny
• Incorporate HTML and LaTex codes