✅ 📘 Beginner Level Projects of DataFrame (Easy)

 

Pandas DataFrame

1️⃣ Project: Student Marks Visualization

Objective: Read student marks, calculate total & average, and plot a bar chart.

Concepts Used: DataFrame creation, column operations, bar plot.

Sample Code:

import pandas as pd
import matplotlib.pyplot as plt

data = {
    'Name': ['Amit', 'Riya', 'John'],
    'Math': [80, 90, 75],
    'Science': [85, 88, 70],
    'English': [78, 92, 82]
}

df = pd.DataFrame(data)
df['Total'] = df[['Math', 'Science', 'English']].sum(axis=1)

plt.bar(df['Name'], df['Total'])
plt.title("Total Marks of Students")
plt.xlabel("Students")
plt.ylabel("Total Marks")
plt.show()

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2️⃣ Project: Daily Temperature Line Chart

Objective: Visualize temperature trend over 7 days.

Concepts Used: Line plot, indexing.

Sample Code:

import pandas as pd
import matplotlib.pyplot as plt

data = {
    'Day': ['Mon','Tue','Wed','Thu','Fri','Sat','Sun'],
    'Temp': [30, 32, 31, 29, 28, 33, 34]
}

df = pd.DataFrame(data)

plt.plot(df['Day'], df['Temp'], marker='o')
plt.title("Daily Temperature")
plt.xlabel("Day")
plt.ylabel("Temperature (°C)")
plt.show()

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3️⃣ Project: Product Sales Pie Chart

Objective: Show sales % of products.

Concepts Used: Pie chart, percentage labels.

Sample Code:

import pandas as pd
import matplotlib.pyplot as plt

data = {
    'Product': ['Shoes','Bags','Shirts','Jeans'],
    'Sales': [450, 300, 200, 150]
}

df = pd.DataFrame(data)

plt.pie(df['Sales'], labels=df['Product'], autopct='%1.1f%%')
plt.title("Product Sales Distribution")
plt.show()