Ds labs dataset

# Load the required libraries
library(dslabs)
library(ggplot2)

# Load the "temp_carbon" dataset
data("temp_carbon")

# Create a scatterplot with temperature, carbon, and a third variable
ggplot(temp_carbon, aes(x = temp_anomaly, y = carbon_emissions, color = year)) +
  geom_point() +
  labs(
    x = "Temp Anomaly (°C)",
    y = "Carbon Emissions (ppm)",
    title = "Relationship between Temperature anomaly with carbon emissions throughout the years ",
    color = "Year"
  ) +
  scale_color_gradient(low = "blue", high = "red") +
  theme_minimal()

Warning: Removed 133 rows containing missing values (`geom_point()`).

This visualization helps us see the connection between temperature anomalies, carbon emissions, and time. It shows that as time passes, temperature anomalies have been rising, suggesting a trend of increasing global temperatures. The color-coded scale makes it easy to see these changes over the years.