Create a data frame using 20 records comprises of Name, Height(in Cms), Weight(in Kgs),Branch( i.e account,purchase,finance,sales) of employees. Add four records of height as NA value and two records of Weight as two values.
Using shiny package generates interactive visualization between height and weight.
Hint: You can use the slider or color palette for making interactive visualization.
Design the prediction model based on the simple linear regression model to determine the relationship between height and weight variables of the data frame. Do appropriate processing before applying the model. Impute NA values with average.
Do the following operation on the data frame :
(1) Generate the histogram of height and weight values with all parameters of the graph.
(2) Calculate the outer fence value of outlier of Weight data.
(3) Determine the skewness and kurtosis values of height data.
(4) Determine the quantile value of width with 35,55,75,85 % probability
(5) Calculate the mode value of the Weight data.
CS 340 Milestone One Guidelines and Rubric
Overview: For this assignment, you will implement the fundamental operations of create, read, update,
Retail Transaction Programming Project
Project Requirements:
Develop a program to emulate a purchase transaction at a retail store. This
Create a GUI program that:Accepts the following from a user:Item NameItem QuantityItem PriceAllows the user to create a file to store the sales receip
CS 340 Final Project Guidelines and Rubric
Overview The final project will encompass developing a web service using a software stack and impleme
