FinalProject

AALEID
12/19/2018

First Slide

This presentation was prepared for the final project for Developing Data Product course.

It includes:

  • Brief illustration of my Shiny App
  • Example of codes used in the shiny APP
  • Two different examples of plots of the shiny app

Normal Distribution Curve Simulation

The App plots the normal distribution curve according to paramteres specified by the user. The user should provide the following:

  1. mean value
  2. standard deviation
  3. the number of points used in simulation

The user could also display the theoretical curve on the same graph.

Example 1

set.seed(123)
data <- rnorm(100, 50, 20)
hist(data, prob= TRUE, main = "Normal Distribution", xlim = c(-20, 130))

plot of chunk unnamed-chunk-1

The input parameters used in this example is:

mean = 50 , sd = 20 , number = 100

Example 2

set.seed(123)
data <- rnorm(1000, 50, 5)
hist(data, prob= TRUE, main = "Normal Distribution", xlim = c(-20, 130))

plot of chunk unnamed-chunk-2

The input parameters used in this example is:

mean = 50 , sd = 5 , number = 1000