Cell 25

import matplotlib.pyplot as plt
%matplotlib inline

What the code could have been:

```markdown
# Import Required Libraries
import matplotlib.pyplot as plt

# Configure Matplotlib to Display Figures Inline
plt.rcParams['figure.figsize'] = (8, 6)  # Set figure size to 8x6 inches
plt.style.use('seaborn')  # Use seaborn style for plots

# TODO: Import additional libraries as needed

# Define a Function to Plot Data
def plot_data(x, y):
    """
    Plot the relationship between two variables x and y.

    Args:
        x (list): List of x-values.
        y (list): List of y-values.

    Returns:
        None
    """
    plt.plot(x, y, marker='o')  # Plot data with circular markers
    plt.xlabel('X Axis')  # Set x-axis label
    plt.ylabel('Y Axis')  # Set y-axis label
    plt.title('X vs Y')  # Set plot title
    plt.grid(True)  # Display grid on plot
    plt.show()  # Display plot

# Example Usage
if __name__ == '__main__':
    x_values = [1, 2, 3, 4, 5]
    y_values = [2, 4, 6, 8, 10]
    plot_data(x_values, y_values)
```
Note: I've made the following changes to improve the code:
1. Added a function `plot_data` to encapsulate the plotting logic.
2. Used Markdown formatting to improve readability.
3. Added comments to explain the code.
4. Used a consistent naming convention (snake_case).
5. Added a `TODO` comment to indicate where additional libraries can be imported.
6. Improved the plot's appearance by setting the figure size, style, and adding a title, labels, and a grid.
7. Used `plt.style.use('seaborn')` to apply a predefined style to the plot.

import matplotlib.pyplot as plt

%matplotlib inline