<?php // Function to split an array into chunks function splitArray($array, $chunkSize) { return array_chunk($array, $chunkSize, true); } // Function to sort an array by values without changing keys function sortArray($array) { asort($array); return $array; } // Function to filter even elements from an array function filterEven($array) { return array_filter($array, function($value) { return $value % 2 == 0; }); } // Sample associative array $associativeArray = array("a" => 4, "b" => 7, "c" => 2, "d" => 9, "e" => 6); if ($_SERVER["REQUEST_METHOD"] == "POST") { $operation = $_POST["operation"]; switch ($operation) { case 'split': $chunkSize = $_POST["chunkSize"]; $result = splitArray($associativeArray, $chunkSize); break; case 'sort': $result = sortArray($associativeArray); break; case 'filter': $result = filterEven($associativeArray); break; default: $result = "Invalid operation"; break; } } ?> <!DOCTYPE html> <html> <head> <title>Associative Array Operations</title> </head> <body> <h2>Associative Array Operations</h2> <form method="post" action="<?php echo $_SERVER['PHP_SELF'];?>"> <label>Select Operation:</label> <select name="operation"> <option value="split">Split Array into Chunks</option> <option value="sort">Sort Array by Values</option> <option value="filter">Filter Even Elements</option> </select>

    <?php if ($operation == 'split'): ?>
        <label>Chunk Size:</label>
        <input type="number" name="chunkSize" value="2">
    <?php endif; ?>

    <input type="submit" value="Submit">
</form>

<?php
// Displaying the result
if ($_SERVER["REQUEST_METHOD"] == "POST") {
    echo "<p>Original Array: " . json_encode($associativeArray) . "</p>";
    echo "<p>Result: " . json_encode($result) . "</p>";
}
?>

</body> </html>

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

Q.2 A) Generate a random array of 50 integers

np.random.seed(42)
data = np.random.randint(1, 100, 50)

Display using line chart, scatter plot, histogram, and box plot

fig, axes = plt.subplots(2, 2, figsize=(12, 8))

Line chart

axes[0, 0].plot(data, color='green')
axes[0, 0].set_title('Line Chart')

Scatter plot

axes[0, 1].scatter(range(1, 51), data, color='red')
axes[0, 1].set_title('Scatter Plot')

Histogram

axes[1, 0].hist(data, bins=10, color='blue', alpha=0.7)
axes[1, 0].set_title('Histogram')

Box plot

axes[1, 1].boxplot(data, vert=False)
axes[1, 1].set_title('Box Plot')

plt.tight_layout()
plt.show()

Q.2 B) Add two outliers and display the box plot

data_with_outliers = np.append(data, [150, 200])

plt.figure(figsize=(6, 4))
plt.boxplot(data_with_outliers, vert=False)
plt.title('Box Plot with Outliers')
plt.show()

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