Final Review Integration Projects: Concept Notes

"""
Topic 10: Final Review & Integration Projects - Concept Notes

This final module isn&#x27;t strictly about new concepts, but about integrating what you've learned into cohesive, real-world-style projects.

Key Integration Areas:
1. Logic & Functions: Structuring modular code.
2. Data Structures: Choosing the right collection for the job.
3. OOP: Creating systems with clear responsibilities.
4. File I/O & JSON: Persisting data.
5. NumPy & Pandas: Efficient data processing.
6. Visualization: Communicating insights.

Project Workflow:
1. Requirements Gathering: What does the system need to do?
2. Design: Planning classes and data structures.
3. Implementation: Writing the code.
4. Testing: Verifying it works.
5. Refactoring: Making it clean and efficient.
"""

__PH_1__
import pandas as pd
import matplotlib.pyplot as plt

def analyze_and_plot(csv_file):
    \"\"\"Reads data, finds mean, and plots.\"\"\"
    try:
        __PH_2__
        df = pd.read_csv(csv_file)
        
        __PH_3__
        stats = df.describe()
        print("Data Summary:\n", stats)
        
        # 3. Visualize (Matplotlib)
        df.plot(kind=&#x27;bar')
        plt.title(&#x27;Integration Example')
        plt.savefig(&#x27;analysis_output.png')
        print("Plot saved as analysis_output.png")
        
    except FileNotFoundError:
        print("Error: CSV file not found.")

# Note: This is just a conceptual example. 
# Real projects will span multiple files and classes.