Boxplot

show the code

# ==============================================================================
## Create Box-Plot in R
### Library Package
# library("ggplot2")

### Create Data
groups <- sample(c("GrupA", "GrupB"), size = 100, replace = TRUE)
values <- sample(9:31, 100, replace = TRUE)
df <- data.frame(groups, values)

### Create Plots
ggplot(df, aes(x = groups, y = values, fill=groups)) +
  stat_boxplot(geom = "errorbar", width = 0.25) + 
  geom_boxplot() +
  stat_summary(
    fun = "mean", geom = "point", shape = 18, size = 4, color = "tomato1"
    ) +
  scale_fill_manual(values=c("peachpuff", "mistyrose")) +
  labs(title = "Sample Box-Plot in R (red point = mean) \u00A9ф",
       x = "Gruppalar",
       y = "Qiymatlar") +
  theme_light()+
  #theme_minimal() +
  theme(legend.position = "none",
    plot.title = element_text(color="steelblue4", size=14, face="bold.italic"),
    axis.title.x = element_text(color="cadetblue4", size=12, face="bold"),
    axis.title.y = element_text(color="tomato4", size=12, face="bold")) 

R base boxplot function

# With R base boxplot function
boxplot(
  values ~ groups, d,
  xlab = "Gruppalar",
  ylab = "Qiymatlar",
  main = "A sample Box-Plot",
  col= "azure" )
abline(h=means$values, text = "mean", col="tomato1", lwd=1, lty = 2)

show the code

## ============================================================================
## Create Box-Plot in Python
#### Import module
import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt

### Create DataF
groups = np.random.choice(["GrupA", "GrupB"], size = 100, replace = True)
values = list(np.random.randint(9, 31, size = 100))

### Create Plots
df = pd.DataFrame(list(zip(groups, values)), columns = ["groups", "values"])
sns.boxplot(x="groups", y="values", data = df)
plt.xlabel("Gruppalar")
plt.ylabel("Qiymatlar")
plt.title("Sample Box-Plot in Python \u00A9ф")
plt.show()