├── README.md
├── student_marks.csv
└── student_analysis.py


/README.md:
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https://raw.githubusercontent.com/Samridhan2005/student-mark-analysis/HEAD/README.md


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/student_marks.csv:
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 1 | Name,Math,Science,English,History,Geography,Com.Science
 2 | Alice,85,92,78,90,98,80
 3 | Bob,65,70,91,89,78,79
 4 | Carol,88,88,69,81,79,89
 5 | David,75,80,89,66,98,99
 6 | Eve,90,87,74,79,90,94
 7 | sam,90,90,90,90,90,90
 8 | lakshman,78,98,67,89,87,69
 9 | tharun,93,79,88,76,79,90
10 | karthi,60,79,81,74,95,80
11 | sabari,68,89,92,59,76,45
12 | varun,89,59,60,90,89,56
13 | tilak,79,81,90,98,91,87
14 | 


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/student_analysis.py:
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 1 | import pandas as pd
 2 | import matplotlib.pyplot as plt
 3 | 
 4 | # Load the CSV file into a DataFrame
 5 | df = pd.read_csv(r'E:\python_miniproject\student_marks.csv')
 6 | 
 7 | 
 8 | # Calculate the average marks for each student across all subjects
 9 | df['Average'] = df[['Math', 'Science', 'English', 'History', 'Geography', 'Com.Science']].mean(axis=1)
10 | 
11 | # Display the results (name and average marks)
12 | print(df[['Name', 'Average']])
13 | 
14 | # Bar chart for average marks per student
15 | plt.figure(figsize=(8, 5))
16 | plt.bar(df['Name'], df['Average'], color='skyblue')
17 | plt.title('Average Marks of Each Student')
18 | plt.xlabel('Student')
19 | plt.ylabel('Average Marks')
20 | plt.xticks(rotation=40)
21 | plt.show()
22 | 


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