plot a graph of g against income with three colours for each race. in r

Assuming you have a dataset that includes information on both income and race, you can use ggplot2 and dplyr packages in R to create a graph of g against income with three colors for each race.

Here's an example:


main.r
# Load libraries
library(ggplot2)
library(dplyr)

# Create example dataset
set.seed(123)
df <- data.frame(income = rnorm(100, mean = 50000, sd = 10000),
                 race = factor(sample(c("White", "Black", "Asian"), 100, replace = TRUE)),
                 g = rnorm(100, mean = 50, sd = 10))

# Group data by race and plot
ggplot(df %>% group_by(race), aes(x = income, y = g, color = race)) +
  geom_point() +
  labs(title = "Graph of g against Income by Race", x = "Income", y = "g")
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This code will group the data by race and plot a scatter plot of g against income with three different colors for each race. You can customize the plot further by changing the colors or adding more layers to the plot.

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