Q1]

<!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>List of Books</title> <style> table { width: 50%; border-collapse: collapse; margin: 20px auto; }

th, td {
  border: 1px solid #ddd;
  padding: 8px;
  text-align: center;
}

th {
  background-color: #f2f2f2;
}

</style> </head> <body> <h2>List of Books</h2> <table> <tr> <th>Item No</th> <th>Item Name</th> <th>Price</th> </tr> <tr> <td>1</td> <td>Programming in Python</td> <td>500<span style="font-size: smaller;">.50</span></td> </tr> <tr> <td>2</td> <td>Programming in Java</td> <td>345<span style="font-size: smaller;">.00</span></td> </tr> </table> </body> </html>

Q2]
a]
import numpy as np
import matplotlib.pyplot as plt

Generate a random array of 50 integers

random_array = np.random.randint(1, 100, 50)

Line chart

plt.figure(figsize=(10, 4))
plt.plot(random_array, marker='o', color='blue')
plt.title('Line Chart of Random Array')
plt.xlabel('Index')
plt.ylabel('Value')
plt.show()

Scatterplot

plt.figure(figsize=(10, 4))
plt.scatter(range(1, 51), random_array, color='green', marker='x')
plt.title('Scatterplot of Random Array')
plt.xlabel('Index')
plt.ylabel('Value')
plt.show()

Histogram

plt.figure(figsize=(10, 4))
plt.hist(random_array, bins=10, color='orange', edgecolor='black')
plt.title('Histogram of Random Array')
plt.xlabel('Value')
plt.ylabel('Frequency')
plt.show()

Box plot

plt.figure(figsize=(6, 4))
plt.boxplot(random_array, vert=False)
plt.title('Box Plot of Random Array')
plt.xlabel('Value')
plt.show()

Q2]
B]
import pandas as pd

Assuming the dataset is named 'User_Data.csv'

data = pd.read_csv('User_Data.csv')

Print the shape of the data

print("Shape of the data:", data.shape)

Print the number of rows and columns

print("Number of rows:", data.shape[0])
print("Number of columns:", data.shape[1])

Hslip4