Page 298 - Touhpad Ai

2. Write a Python program using Seaborn to create a scatterplot that analyzes the relationship between two variables
in a dataset.
Download the dataset using the given link or scan the QR code:

https://www.kaggle.com/code/sanjanabasu/tips-dataset/input
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
df = pd.read_csv('D:\Data\Tips.csv')
sns.regplot( x='total_bill', y='tip', data=df, scatter_kws={'color': 'blue'},
line_kws={'color': 'red'})
plt.title("Scatter Plot with Regression Line: Total Bill vs Tip")
plt.xlabel("Total Bill (Rs)")
plt.ylabel("Tip (Rs)")
plt.tight_layout()
plt.show()
Note: The Tips.csv file should be present at the mentioned path on your computer, otherwise, 'No such file or
directory' will be reported.

Output:

3. Write a Python program to utilise Matplotlib to generate a bar plot for comparing the distribution of categories in a
dataset.
Download the dataset using the given link or scan the QR code:

https://www.kaggle.com/datasets/yasserh/titanic-dataset
import pandas as pd
import matplotlib.pyplot as plt
data = pd.read_csv('D:\Data\Titanic.csv')
# Count the number of passengers in each class
class_distribution = data['Pclass'].value_counts()
plt.bar(class_distribution.index, class_distribution, color='lightgreen')
plt.title('Passenger Distribution by Class in Titanic Dataset')
plt.xlabel('Class')

296 Touchpad Artificial Intelligence - XI