Homework Assignment 5

• Please answer all of the following questions thoroughly, ensuring that none are left unanswered.
• Craft your answers in a Word document and submit your Word document to Brightspace
• For Homework Assignment 5, the use of any generative artificial intelligence (AI) tools is strictly required.
  • Pick one generative AI tool you prefer.
  • Copy your conversation with generative AI and paste it to your Word document.
• You may submit multiple times, but only your most recent submission will be evaluated.
• The due is December 10, 11:59 P.M., 2024, Tuesday, Eastern Time.

Question 1.

What generative AI tool have you used for this homework assignment?

Question 2.

• Provide your conversation with generative AI to do the following tasks:
  • Translate the following R ggplot code into Python seaborn code to generate a scatter plot showing the relationship between “sales” and “price” using the CSV file, http://bcdanl.github.io/data/dominick_oj_feat.csv.
  • Make a step-by-step comparison between the Python code and the R code to understand how each part corresponds to the other.

library(tidyverse)
oj <- read_csv("http://bcdanl.github.io/data/dominick_oj_feat.csv")
ggplot(data = oj, 
       mapping = aes(x = price, y = sales,
                     color = brand)) +
  geom_point(alpha = .3) + 
  geom_smooth(method = "lm") +
  labs(title = "Scatter Plot of Sales vs. Price",
       x = "Price",
       y = "Sales")

Question 3.

• Provide your conversation with generative AI to do the following task:
  • Make an in-line comment on each line of the following R ggplot code.

library(tidyverse)
oj <- read_csv("http://bcdanl.github.io/data/dominick_oj_feat.csv")
ggplot(data = oj, 
       mapping = aes(x = price, y = sales,
                     color = brand)) +
  geom_point(alpha = .3) + 
  geom_smooth(method = "lm") +
  labs(title = "Scatter Plot of Sales vs. Price",
       x = "Price",
       y = "Sales")

Question 4

Insert an image file of your scatterplot showing sales versus price, with data points color-coded by brand, generated using Power BI.

Question 5.

• Provide your conversation with generative AI to debug the following code:
  • Explain to the generative AI the error message you received when running the code below:

oj |> 
  counting(brand, ad_status)

Question 6.

• Provide your conversation with generative AI for adding a new variable, revenue, to the oj data frame.
  • The revenue variable should be computed as the product of sales and price to provide information about the weekly revenue for each orange juice brand.

library(tidyverse)
oj <- read_csv("http://bcdanl.github.io/data/dominick_oj_feat.csv")