Instructions Load the profvis package. - Profile the code. Wrap the code in curly braces, {. Wrap those curly braces in a call to profvis(). ? <> Show Answer (-70 XP) Hint The curly braces go inside the parentheses. profvis({ # code to profile }) 1 2 3 4 5 6 7 8 9 SECRETARIAN 10 11 12 13 14 15 16 17 18 19 20 21 # Load the data set data (movies, package = "ggplot2movies") # Load the profvis package # Profile the following code with the profvis function --- # Load and select data comedies <- movies[movies $Comedy == 1, ] # Plot data of interest plot (comedies $year, comedies$rating) # Loess regression line model <- loess(rating~ year, data = comedies) j< order (comedies$year) # Add fitted line to the plot lines (comedies$year[j], model$fitted [j], col = "red") ## Remember the closing brackets!

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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Instructions
Load the profvis package.
Profile the code.
Wrap the code in curly braces, { .
Wrap those curly braces in a call to profvis().
<> Show Answer (-70 XP)
Hint
The curly braces go inside the parentheses.
profvis ({
})
# code to profile
# Load the data set
data (movies, package
1
2
3
4
5
6
7
# Profile the following code with the profvis function
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9
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19
20
21
=
"ggplot2movies")
# Load the profvis package
# Load and select data
comedies <- movies[movies $Comedy
==
# Plot data of interest
plot (comedies $year, comedies$rating)
1, ]
# Loess regression line
model <- loess(rating ~ year, data = comedies)
j < order (comedies$year)
# Add fitted line to the plot
lines (comedies$year[j], model$fitted[j], col = "red")
## Remember the closing brackets!
Transcribed Image Text:Instructions Load the profvis package. Profile the code. Wrap the code in curly braces, { . Wrap those curly braces in a call to profvis(). <> Show Answer (-70 XP) Hint The curly braces go inside the parentheses. profvis ({ }) # code to profile # Load the data set data (movies, package 1 2 3 4 5 6 7 # Profile the following code with the profvis function 8 9 10 11 12 13 14 15 16 17 18 19 20 21 = "ggplot2movies") # Load the profvis package # Load and select data comedies <- movies[movies $Comedy == # Plot data of interest plot (comedies $year, comedies$rating) 1, ] # Loess regression line model <- loess(rating ~ year, data = comedies) j < order (comedies$year) # Add fitted line to the plot lines (comedies$year[j], model$fitted[j], col = "red") ## Remember the closing brackets!
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