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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.csvTask3_Data_Analysis.ipynbREADME.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.