The plot you are describing is just a scatter plot with day-person pairs on x-axis. Below I provide an example code in R with ggplot2 library and the plot.
library(ggplot2)
set.seed(123)
data <- data.frame(
person = sample(c("Alice", "Bob"), 100, replace = TRUE),
day = sample(c("Monday", "Thuesday"), 100, replace = TRUE),
hour = runif(100, 0, 24)
)
ggplot(data, aes(x = paste(day, person), y = hour, color = person)) +
geom_point()
The plot you are describing is just a scatter plot with day-person pairs on x-axis.
library(ggplot2)
set.seed(123)
data <- data.frame(
person = sample(c("Alice", "Bob"), 100, replace = TRUE),
day = sample(c("Monday", "Thuesday"), 100, replace = TRUE),
hour = runif(100, 0, 24)
)
ggplot(data, aes(x = paste(day, person), y = hour, color = person)) +
geom_point()
The plot you are describing is just a scatter plot with day-person pairs on x-axis. Below I provide an example code in R with ggplot2 library and the plot.
library(ggplot2)
set.seed(123)
data <- data.frame(
person = sample(c("Alice", "Bob"), 100, replace = TRUE),
day = sample(c("Monday", "Thuesday"), 100, replace = TRUE),
hour = runif(100, 0, 24)
)
ggplot(data, aes(x = paste(day, person), y = hour, color = person)) +
geom_point()
The plot you are describing is just a scatter plot with day-person pairs on x-axis.
library(ggplot2)
set.seed(123)
data <- data.frame(
person = sample(c("Alice", "Bob"), 100, replace = TRUE),
day = sample(c("Monday", "Thuesday"), 100, replace = TRUE),
hour = runif(100, 0, 24)
)
ggplot(data, aes(x = paste(day, person), y = hour, color = person)) +
geom_point()