<jupyter_start><jupyter_text>PLEASE USE THE BELOW OUTLINED GRAPHS<jupyter_code>df2 = pd.read_excel('gender.xlsx')
df2.head()
plt.figure(figsize=(12, 10))
g = sns.swarmplot(x="Male_P", y="Female_P", data=df2, hue = "Course",size = 20);
g.set(xticklabels = []);
g.set_title("Hello")
g = sns.pairplot(df2, hue="Course")
df2['Total'] = df2['Total'].apply(lambda x: 100)
df2.sort_values(by='Female_P', ascending=1)
df2.reset_index(drop=True)
# Histogram Visualisation on Dataset
fig = plt.figure(figsize=(12,6))

sns.set_color_codes("pastel")
sns.barplot(x="Total", y="Course", data=df2,
            label="Total", color="b")

g = sns.set_color_codes("muted")
g = sns.barplot(x="Female_P", y="Course", data=df2,
             color="pink")
g.set_title("Female")


# Histogram Visualisation on Dataset
fig = plt.figure(figsize=(12,6))
sns.set_color_codes("pastel")
sns.barplot(x="Total", y="Course", data=df2,
            label="Total", color="b")

g = sns.set_color_codes("muted")
g = sns.barplot(x="Male", y="Course", data=df2,
             palette="cool")
g.set_title("Male")
g.set_xlabel("")
plt.figure(figsize=(12, 10))
g = sns.factorplot(x="Male_P", y="Course", data = df2, kind="bar", size=12, palette='coolwarm');
g = sns.factorplot(x="Total", y="Course", data = df2, kind="bar", size=12, palette='coolwarm');<jupyter_output><empty_output>
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