🟢 PROJECT 1 (Easy): Student Marks Analysis

📌 Objective

Analyze student marks using Pandas and generate useful insights.

📌 Dataset (sample)

Name	Maths	Science	English
Raghav	78	82	75
Aman	90	88	92
Simran	65	70	68

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📌 Project Tasks

✔ 1. Load the CSV

import pandas as pd

df = pd.read_csv("marks.csv")

✔ 2. Display info

print(df.head())
print(df.describe())

✔ 3. Calculate total & percentage

df["Total"] = df[["Maths", "Science", "English"]].sum(axis=1)
df["Percentage"] = df["Total"] / 3

✔ 4. Find topper

topper = df.loc[df["Percentage"].idxmax()]
print("Topper:", topper["Name"])

✔ 5. Plot bar chart (optional)

df["Percentage"].plot(kind="bar")