# Load Required package into the session library
library(gapminder)
# Create a data frame from the gapminder package
gapminder_df<-gapminder

Using ChatGPT to provide R code for a histogram.

Initial prompt:

I have a data object ‘gapminder_df’. My variable of interest is quantitative with the name ‘lifeExp’. Please give me the code to create a histogram with 50 bins using ggplot.

Code produced:

library(ggplot2)

# Assuming 'gapminder_df' is the name of your data frame
# 'lifeExp' is the quantitative variable you're interested in

ggplot(gapminder_df, aes(x = lifeExp)) +
  geom_histogram(bins = 50, color = "black", fill = "skyblue", alpha = 0.7) +
  labs(title = "Histogram of life expectancy", x = "Life Expectancy", y = "Frequency")

Update 1 prompt:

Great. Please update to use the ‘gdpPercap’ quantitative variable instead of ‘lifeExp’. Because there are extreme values in the variable, please set the limits of the x-axis to $0 and $50,000.

library(ggplot2)

# Assuming 'gapminder_df' is the name of your data frame
# 'gdpPercap' is the quantitative variable you're interested in

ggplot(gapminder_df, aes(x = gdpPercap)) +
  geom_histogram(bins = 50, color = "black", fill = "skyblue", alpha = 0.7) +
  labs(title = "Histogram of GDP per Capita", x = "GDP per Capita", y = "Frequency") +
  xlim(0, 50000)

Update 2 prompt:

Great. Please update to use classic theme.

library(ggplot2)

# Assuming 'gapminder_df' is the name of your data frame
# 'gdpPercap' is the quantitative variable you're interested in

ggplot(gapminder_df, aes(x = gdpPercap)) +
  geom_histogram(bins = 50, color = "black", fill = "skyblue", alpha = 0.7) +
  labs(title = "Histogram of GDP per Capita", x = "GDP per Capita", y = "Frequency") +
  xlim(0, 50000) +
  theme_classic()