student-results-analyzer

🧮 Student Results Analyzer (Python)

This is a simple Python command-line application that allows you to input student names and scores, calculate statistics (mean, standard deviation, etc.), generate grade distributions, and export the results to a CSV file. It also creates a visual chart of the grade distribution using Matplotlib.

🔧 Features

• Input student names and scores
• Calculate:
  • Class average
  • Standard deviation
  • Highest and lowest scores
  • Grade distribution (A–F)
• Generate a bar chart (grade_chart.png)
• Export results to a CSV file

  📦 Dependencies

  You only need Python and matplotlib. Install matplotlib if you don’t already have it: pip install matplotlib

How to run

1. Clone this repo or download the Python file: git clone https://github.com/gaiuso33/student-results-analyzer.git cd student-results-analyzer
2. Run the script in your terminal or command line: python results_analyzer.py
3. Follow the prompts to enter student names and scores.

Sample Output

Enter number of students: 3

Student 1 Name: Alice Score: 80

Student 2 Name: Bob Score: 55

Student 3 Name: Clara Score: 67

Average Score: 67.33 Standard Deviation: 12.50 Highest Score: 80 Lowest Score: 55

Grade Distribution: A: 1 B: 1 C: 1 D: 0 F: 0

Results saved to ‘results_summary.csv’. Grade distribution chart saved as ‘grade_chart.png’.

Outputs Generated

results_summary.csv: Contains a table of names, scores, and grades.

grade_chart.png: Visual bar chart of grade counts.

Concepts Practiced

Python dictionaries and lists

Basic statistics (mean, standard deviation)

File handling (CSV)

Data visualization (Matplotlib)

Grade classification logic

🧑‍💻 Author: gaiuso33

[Oluwole Gaius] 🎓 Final-year Statistics & 300-level Computer Science student 🌍 Based in Nigeria 📫 [oluwolegaiusayokunle@gmail.com] 🔗 [(https://www.linkedin.com/in/oluwole-gaius-962342260/)] 🌐 [https://www.notion.so/hero-section-22064fc37bca80e1ae99fcb6a8cf5704?source=copy_link] ⭐️ Feel free to fork this project and try new features like:

GUI version with Tkinter

Support for importing student data from Excel

Interactive charts with Plotly