#ggplot(
#data = data,
#mapping = aes(x = Distance, y = Delivery_Duration, color = Location)
#) +
#geom_point()
Day 2 Lab 2C
Scatter Plot Graph | Distance to Delivery_Duration, to Location
From this scatter plot, the data depicts a large variety of information at once. While our team realized our mistake we decided to keep this in as a learning experience.
#ggplot(
#data = data,
#mapping = aes(x = Toppings_Count, y = Price, color = Taco_Size)
#) +
#geom_point()
This graph displays a positive correlation between the price, toppings_count, and taco_size. From this we are able to determine where the amount of a topping or taco size proportionally increases the price of the product as well.