NAME : Naveen Kumar P
REG NO : 212222230092

import seaborn as sns
import matplotlib.pyplot as plt
x=[1,2,3,4,5]
y=[3,6,2,7,1]
sns.lineplot(x=x,y=y)

df=sns.load_dataset("tips")
df

sns.lineplot(x="total_bill",y="tip",data=df,hue="sex",linestyle='solid',legend="auto")

x=[1,2,3,4,5]
y1=[3,5,2,6,1]
y2=[1,6,4,3,8]
y3=[5,2,7,1,4]
sns.lineplot(x=x,y=y1)
sns.lineplot(x=x,y=y2)
sns.lineplot(x=x,y=y3)
plt.title("Multi-line Plot")
plt.xlabel('X Label')
plt.ylabel('Y Label')

import seaborn as sns
import matplotlib.pyplot as plt
tips=sns.load_dataset('tips')
avg_total_bill = tips.groupby('day')['total_bill'].mean()
avg_tip=tips.groupby('day')['tip'].mean()
plt.figure(figsize=(8, 6))
p1 = plt.bar(avg_total_bill.index, avg_total_bill, label='Total Bill')
p2 = plt.bar(avg_tip.index, avg_tip, bottom=avg_total_bill, label='Tip')
plt.xlabel('Day of the week')
plt.ylabel('Amount')
plt.title('Average Total Bill and Tip by Day')
plt.legend()

avg_total_bill = tips.groupby('time')['total_bill'].mean()
avg_tip = tips.groupby('time')['tip'].mean()
p1 = plt.bar(avg_total_bill.index, avg_total_bill, label='Total Bill', width=0.4)
p2 = plt.bar(avg_tip.index, avg_tip, bottom=avg_total_bill, label='Tip', width=0.4)

plt.xlabel('Time of Day')
plt.ylabel('Amount')
plt.title('Average Total Bill and Tip by Time of Day')
plt.legend()

years=range (2000, 2012)
apples = [0.895, 0.91, 0.919, 0.926, 0.929, 0.931, 0.934, 0.936, 0.937, 0.9375, 0.9372, 0.939]
oranges = [0.962, 0.941, 0.930, 0.923, 0.918, 0.908, 0.907, 0.904, 0.901, 0.898, 0.9, 0.896, ]
plt.bar(years, apples)
plt.bar(years, oranges, bottom=apples)

import seaborn as sns
dt= sns.load_dataset('tips')
# Bar plot with hue parameter
sns.barplot(x='day', y='total_bill', hue='sex', data=dt, palette='Set1')
plt.xlabel('Day of the week')
plt.ylabel('Total Bill')
plt.title('Total Bill by Day and Gender')

import seaborn as sns
# Load the tips dataset
tips = sns.load_dataset('tips')
# Scatter plot of total bill vs. tip amount
sns.scatterplot(x= 'total_bill', y='tip', hue='sex',data=tips)
# Set labels and title
plt.xlabel('Total Bill')
plt.ylabel('Tip Amount')
plt.title('Scatter Plot of Total Bill vs. Tip Amount')

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
np.random.seed(0)
marks = np.random.normal(loc=70, scale=10, size=100)
marks

sns.violinplot(x="day", y="total_bill", hue="smoker", data=tips, linewidth=2, width=0.6,
palette="Set3", inner="quartile")
# Add labels and title
plt.xlabel("Day of the week")
plt.ylabel("Total Bill")
plt.title("Violin Plot of Total Bill by Day and Smoker Status")

import seaborn as sns
sns.set(style = 'whitegrid')
tip = sns.load_dataset('tips')
sns.violinplot(x ='day', y ='tip', data = tip)

import seaborn as sns
sns.set(style = 'whitegrid')
tip = sns.load_dataset('tips')
sns.violinplot(x=tip["total_bill"])

sns.kdeplot(data=tips,x='total_bill',hue='time',multiple='fill',linewidth=3,palette='Set2',alpha=0.8)

sns.histplot(data=marks, bins=10, kde=True, stat='count', cumulative=False, multiple='stack', element='bars', palette='Set1', shrink=0.7)
plt.xlabel('Marks')
plt.ylabel('Density')
plt.title('Histogram of students Marks')