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Create a tibble conttaiiscount_customer=1ning driver names of instance where free_wine=1,discount_customer=1 and the order contained more than 4 pizzas.(There can be repeated names). Assign the tibble to Q1 Create a Variable named ratio that is the ratio of bill to pizza , called ratio.What is the mean of that value (call the value mean_ratio) ?Assign this to Q2 For each day of the week , what is the variance in pizzas? Assign this to Q3

Create a tibble conttaiiscount_customer=1ning driver names of instance where free_wine=1,discount_customer=1 and the order contained more than 4 pizzas.(There can be repeated names). Assign the tibble to Q1 Create a Variable named ratio that is the ratio of bill to pizza , called ratio.What is the mean of that value (call the value mean_ratio) ?Assign this to Q2 For each day of the week , what is the variance in pizzas? Assign this to Q3

Programming with Microsoft Visual Basic 2017
Programming with Microsoft Visual Basic 2017
8th Edition
ISBN:9781337102124
Author:Diane Zak
Publisher:Diane Zak
Chapter10: Classes And Objects
Section: Chapter Questions
Problem 2E: Open the Palace Solution.sln file contained in the VB2017\Chap10\Palace Solution folder. Use Windows...
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  • Create a tibble conttaiiscount_customer=1ning driver names of instance where free_wine=1,discount_customer=1 and the order contained more than 4 pizzas.(There can be repeated names). Assign the tibble to Q1
  • Create a Variable named ratio that is the ratio of bill to pizza , called ratio.What is the mean of that value (call the value mean_ratio) ?Assign this to Q2
  • For each day of the week , what is the variance in pizzas? Assign this to Q3
For this assignment, name your R file pizza.R • For all questions you should load tidyverse. You should not need to use any other libraries. o If the tidyverse package is not installed, you'll need to do a one-time installation from the Console Window in RStudio like this: install.packages ("tidyverse") You cannot attempt to install packages in code that you submit to Code Grade. Load tidyverse with: suppressPackageStartupMessages(library(tidyverse)) . Download the pizza.csv file from Brightspace and place it in the same folder/directory as your script file. Then in RStudio, set your Working Directory to your Source File location: • Session Build Debug Profile Tools Help New Session Interrupt R Terminate R... Restart R Set Working Directory Load Workspace... Save Workspace As... Clear Workspace... Quit Session... Ctrl+Shift+F10 Ctrl+Q Load the pizza.csv file like this: pizza <- read_csv('pizza.csv') Addins To Source File Location To Files Pane Location Choose Directory... Ctrl+Shift+H • Continue to use %>% for the pipe. CodeGrade does not support the new pipe. • Round all float/dbl values to two decimal places. o If your rounding does not work the way you expect, convert the tibble to a dataframe by using as.data.frame() • All statistics should be run with variables in the order I state o E.g., "Run a regression predicting mileage from mpg, make, and type" would be: lm (mileage ~ mpg + make + type...) • In each of these you must use at least two dplyr functions. You may use Google to look up how to do certain aspects.
Transcribed Image Text:For this assignment, name your R file pizza.R • For all questions you should load tidyverse. You should not need to use any other libraries. o If the tidyverse package is not installed, you'll need to do a one-time installation from the Console Window in RStudio like this: install.packages ("tidyverse") You cannot attempt to install packages in code that you submit to Code Grade. Load tidyverse with: suppressPackageStartupMessages(library(tidyverse)) . Download the pizza.csv file from Brightspace and place it in the same folder/directory as your script file. Then in RStudio, set your Working Directory to your Source File location: • Session Build Debug Profile Tools Help New Session Interrupt R Terminate R... Restart R Set Working Directory Load Workspace... Save Workspace As... Clear Workspace... Quit Session... Ctrl+Shift+F10 Ctrl+Q Load the pizza.csv file like this: pizza <- read_csv('pizza.csv') Addins To Source File Location To Files Pane Location Choose Directory... Ctrl+Shift+H • Continue to use %>% for the pipe. CodeGrade does not support the new pipe. • Round all float/dbl values to two decimal places. o If your rounding does not work the way you expect, convert the tibble to a dataframe by using as.data.frame() • All statistics should be run with variables in the order I state o E.g., "Run a regression predicting mileage from mpg, make, and type" would be: lm (mileage ~ mpg + make + type...) • In each of these you must use at least two dplyr functions. You may use Google to look up how to do certain aspects.
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