I am learning python and I am practicing with a project using a dataset. I created a box plot using seaborn's catplot only using the arguments data,x,y,and kind. There is something on the box plot (circled) that I am unfamiliar with and I'm not sure how to interpret this. Do these lines mean that the data for that specific number on the x-axis is just really small? Zooming in did not make those bigger, so I'm assuming those lines means there is just one data point.
For certain x values (14, 65, 70, 80), all the y values are the same. For these x values, the boxplot of the y values collapses to a single horizontal line.
Because the x values are not equally spaced, you might consider a scatterplot to better represent the distribution of the x variable. You can overlay the plot with a loess curve or similar to display the relationship between y and x.
It can be a constant value, as stated by @LucaAnzalone.
Take this code as example:
library(ggplot2)
# creating a dataframe with a normally distributed column
# and a column with constant values
set.seed(123) # It is just to make this results the same if you try in you pc.
n <- 100
df <- data.frame(
normal_value = rnorm(n, mean = 5, sd = 1), # Normally distributed column
constant_value = rep(5, n) # Constant value column
)
p <- ggplot(df) +
geom_boxplot(aes(x = 1, y = normal_value, color = "Normal Distribution")) +
geom_boxplot(aes(x = 2, y = constant_value, color = "Constant Value")) +
# the following lines are just for decoration purposes
labs(x = "", y = "Value") +
scale_x_continuous(breaks = c(1, 2), labels = c("Normal", "Constant")) +
theme_minimal() +
theme(legend.position = "top")
p
The resulting plot will be:
Hope this helps.
