Task 3: Perform Data Analysis Using Jupyter Notebook in Google Colab
Issue Description
Create a data analysis notebook using Google Colab and Pandas library.
Requirements
- Load a CSV dataset using Pandas
- Display first 5 rows using
.head() - Check dataset information using
.info() - Generate statistical summary using
.describe() - Identify and handle missing values
- Perform sorting and filtering operations
- Create visualizations using Matplotlib/Seaborn
Dataset
Use a sample student dataset containing:
- Name
- Maths marks
- Science marks
- English marks
- Attendance
Expected Output
-
Completed
.ipynbnotebook -
CSV dataset file
-
At least 2 charts:
- Bar chart
- Pie chart
Technologies Used
- Python
- Google Colab
- Pandas
- Matplotlib
- Seaborn