def plot_survival_by_gender():
train_data = di.get_titanic_data()
gender_table = train_data.pivot_table(index="Sex", values="Survived")
gender_table.plot.bar()
plt.title("Graph to Show Survival Rate by Gender")
plt.xlabel("Gender")
plt.ylabel("Survival Rate")
plt.savefig("Graph to Show Survival Rate by Gender")
def plot_survival_by_class():
train_data = di.get_titanic_data()
pclass_table = train_data.pivot_table(index="Pclass", values="Survived")
pclass_table.plot.bar()
plt.title("Graph to Show Survival Rate by Class")
plt.xlabel("Class")
plt.ylabel("Survival Rate")
plt.savefig("Graph to Show Survival Rate by Class")
def plot_feature_heatmap():
train_data = di.get_titanic_data()
plt.figure(figsize=(14, 12))
correlation_matrix = train_data.corr(method='spearman')
sns.heatmap(correlation_matrix, square=True, annot=True)
plt.title("Heatmap of Correlation of Different Features", size=24)
plt.xlabel("Feature", size=20)
plt.ylabel("Feature", size=20)
plt.savefig("Heatmap of Correlation of Different Features")
def plot_survival_by_age_category():
train_data = di.get_titanic_data()
train_data = di.filter_age(train_data)
age_categories_pivot = train_data.pivot_table(index="Age_category",
values="Survived")
age_categories_pivot.plot.bar()
plt.title("Graph to Show Survival Rate by Age Category")
plt.xlabel("Age Group")
plt.ylabel("Survival Rate")
plt.savefig("Graph to Show Survival Rate by Age Category")
def plot_survival_by_fare():
train_data = di.get_titanic_data()
plt.figure(figsize=(15, 8))
died_fare = train_data.loc[(train_data["Survived"] == 0), "Fare"]
survived_fare = train_data.loc[(train_data["Survived"] == 1), "Fare"]
sns.kdeplot(died_fare, color="gray", shade=True, label="Not Survived")
sns.kdeplot(survived_fare, color="g", shade=True, label="Survived")
plt.title("Graph to Show Survival Rate by Fare")
plt.xlabel("Fare")
plt.ylabel("Frequency of Passengers")
plt.savefig("Graph to Show Survival Rate by Fare")
def plot_survival_by_age():
train_data = di.get_titanic_data()
survived = train_data[train_data["Survived"] == 1]
died = train_data[train_data["Survived"] == 0]
survived["Age"].plot.hist(alpha=0.5, color="green", bins=50)
died["Age"].plot.hist(alpha=0.5, color="red", bins=50)
plt.title("Graph to Show Survival Rate by Age")
plt.xlabel("Age (years)")
plt.ylabel("Survival Rate")
plt.legend(["Survived", "Died"])
plt.savefig("Graph to Show Survival Rate by Age")
