Task 3 Data Analysis project

Description

Implemented Task 3 for practicing data analysis using Google Colab and Jupyter Notebook concepts.

Completed Tasks

• Loaded CSV dataset using Pandas
• Previewed dataset using .head()
• Inspected dataset using .info() and .describe()
• Checked and handled missing values using fillna()
• Filtered student records based on marks
• Sorted dataset using sort_values()
• Created visualizations using Matplotlib and Seaborn

Visualizations Added

• Bar Chart for average subject marks
• Scatter Plot for Maths vs Science marks
• Pie Chart for attendance distribution

Files Added

• students.csv
• Task3_Data_Analysis.ipynb
• README.md

Tools & Technologies Used

• Python
• Google Colab
• Pandas
• Matplotlib
• Seaborn
• Git & GitLab

Outcome

Successfully performed basic data loading, cleaning, analysis, filtering, sorting, and visualization in a Jupyter Notebook environment.