Creating Scatter plot using Random Distributions

Abhinav
24-Feb-2021

Introduction

This purpose of this project is to visualize how a scatter plot would look like when the X values and Y values are generated using a specific random distribution.
The values of X and Y would be plotted in pairs to form the scatter plot
Mean and Median values of X and Y variables will also be displayed
Some points can be selected and Mean and Median values corresponding to the selected points will be reactively displayed
This presentation will explain the input options available while creating scatter plot
This presentation will also explain the output of the exercise

Input options

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Select Distribution: Uniform or Normal
How many random numbers should be plotted?: Default 1000
Pick min and max X values for Uniform distribution: between (-100,100)
Pick min and max Y values for Uniform distribution: between (-100,100)
nput mean of Normal Distribution: Default 20
Input Std Dev of Normal Distribution: Default 10
Fit Data to Graph: Expands to fill the plot
Add Margin to Graph: Put a blank margin around the plot

Output

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Distribution: unif - Uniform, norm - Normal.
No. of Points: Actaully being considered by the graph.
Graph of the Random point: Plot
For the data generated, Mean and Median of X and Y values are calculated and displayed.
User documentation accessed by clicking the button

Sample Plot Output

number_of_points1<-100; gmean<-20; gsd<-20
dataX <- rnorm(number_of_points1, gmean, gsd); dataY <- rnorm(number_of_points1, gmean, gsd)
plot(dataX, dataY, xlab = "RandomX", ylab = "RandomY", main = "Normally Distributed Random Number", xlim = c(-100,100), ylim = c(-100,100))

plot of chunk unnamed-chunk-1