Run the following code in your R console. states <- data.frame(state.region, state.x77) Draw a pie chart of mean land area with Percentages about west Northeast south and north central

Here's the code to create the pie chart you requested:

# Load required package
library(dplyr)

# Create data frame
states <- data.frame(state.region, state.x77)

# Calculate mean land area by region
mean_area <- states %>%
  group_by(state.region) %>%
  summarize(mean_area = mean(LandArea))

# Create pie chart
pie(mean_area$mean_area, labels = paste0(mean_area$state.region, ": ", round(mean_area$mean_area/sum(mean_area$mean_area)*100), "%"))

This will create a pie chart with percentages for the mean land area of each region. The labels will indicate which region corresponds to each slice of the pie chart.

相关问题

Run the following code in your R console. states <- data.frame(state.region, state.x77) Draw a Kernel density of per capita income

Sure! Here's how you can do it:

# Load the necessary library
library(ggplot2)

# Create a data frame with state region and per capita income
states <- data.frame(state.region, state.x77)

# Rename the variables
names(states) <- c("region", "per_capita_income")

# Draw a kernel density plot of per capita income
ggplot(states, aes(x = per_capita_income)) +
  geom_density(fill = "blue", alpha = 0.5) +
  ggtitle("Kernel density of per capita income")

This code will create a kernel density plot of per capita income using the `ggplot2` library in R. The plot will have a blue fill and an alpha value of 0.5 to make it more visually appealing.

Run the following code in your R console. states <- data.frame(state.region, state.x77) Draw aHistogram of per capita income

Sure, here's the code to draw a histogram of per capita income using the `states` dataset:

# Load the states dataset
data(states)

# Set up a plot area
par(mar = c(5, 4, 4, 2) + 0.1)

# Create a histogram of per capita income
hist(states$Income, main = "Per Capita Income", xlab = "Income", ylab = "Frequency", col = "blue", border = "white")

This will create a histogram of per capita income in the `states` dataset, with the x-axis labeled as "Income" and the y-axis labeled as "Frequency". The histogram bars will be colored blue and have a white border.