# Creating a Boxplot with Seaborn
import seaborn as sns
import matplotlib.pyplot as plt

tips = sns.load_dataset("tips")
sns.boxplot(x=tips["total_bill"])
plt.show()

# Customizing the Boxplot
tips = sns.load_dataset("tips")

sns.boxplot(x="day", y="total_bill", data=tips, palette="Set2", hue="day")
plt.xlabel(''''''''Day of the Week'''''''')
plt.ylabel(''''''''Total Bill'''''''')
plt.title(''''''''Boxplot of Total Bill Amounts by Day'''''''')
plt.show()

# Adding Data Points to the Boxplot
import seaborn as sns
import matplotlib.pyplot as plt

tips = sns.load_dataset("tips")
sns.boxplot(x="day", y="total_bill", data=tips, palette="Set2", hue="day")
sns.stripplot(x="day", y="total_bill", data=tips, color="black", alpha=0.5)
plt.xlabel(''''''''Day of the Week'''''''')
plt.ylabel(''''''''Total Bill'''''''')
plt.title(''''''''Boxplot of Total Bill Amounts by Day with Data Points'''''''')
plt.show()

# Customizing the Boxplot to Highlight Outliers
import seaborn as sns
import matplotlib.pyplot as plt

tips = sns.load_dataset("tips")
sns.boxplot(x="day", y="total_bill", data=tips, palette="Set2", fliersize=8, hue="day", legend=False)
plt.xlabel(''''''''Day of the Week'''''''')
plt.ylabel(''''''''Total Bill'''''''')
plt.title(''''''''Boxplot of Total Bill Amounts by Day with Outliers Highlighted'''''''')
plt.show()

# Removing Outliers from the Boxplot
import seaborn as sns
import matplotlib.pyplot as plt

tips = sns.load_dataset("tips")
sns.boxplot(x="day", y="total_bill", data=tips, palette="Set2", showfliers=False,hue="day", legend=False)
plt.xlabel(''''''''Day of the Week'''''''')
plt.ylabel(''''''''Total Bill'''''''')
plt.title(''''''''Boxplot of Total Bill Amounts by Day without Outliers'''''''')
plt.show()