feat: add student data analysis notebook using Google Colab

Vaishnavirequested to merge
Task-3 into main

MR Description

Summary

Implemented Task 3 data analysis project using Jupyter Notebook in Google Colab.

Changes Made

  • Added Task3_Data_Analysis.ipynb
  • Added sample dataset student_data.csv
  • Loaded dataset using Pandas
  • Displayed dataset preview using .head()
  • Analyzed dataset using .info() and .describe()
  • Handled missing values using fillna()
  • Performed data filtering and sorting
  • Created visualizations using Matplotlib and Seaborn

Visualizations Added

  • Bar Chart for average subject marks
  • Pie Chart for attendance distribution

Technologies Used

  • Python
  • Google Colab
  • Pandas
  • Matplotlib
  • Seaborn

Files Added

  • Task3_Data_Analysis.ipynb
  • student_data.csv

Output

Successfully completed basic data analysis and visualization workflow in Jupyter Notebook.

closses #1 (closed)

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