This repository showcases practical data analysis and business intelligence projects using Python.
The projects focus on extracting insights from real-world datasets, supporting data-driven decision-making, and solving business problemsβaligned with Data Analyst and Business Analyst roles.
Each project demonstrates skills in data cleaning, exploratory data analysis (EDA), visualization, and insight communication.
- Python
- Pandas
- NumPy
- Matplotlib
- Seaborn
- Jupyter Notebook
- Exploratory Data Analysis (EDA)
- Business Insight Generation
- Data Visualization & Reporting
data-analysis-project-main/
β
βββ Supermarket-Sale-Analysis/
β βββ data/
β β βββ supermarket_sales.csv
β β
β βββ dashboard/
β β βββ app.py
β β
β βββ visuals/
β β βββ Bar chart Sales By Customer type.png
β β βββ Bar chart Sales By Gender.png
β β βββ Monthly Sales trends.png
β β βββ Monthly_Sales_Trends.png
β β βββ actual_vs_predicted.png
β β βββ chart Payment Method Distribution.png
β β βββ error_distribution.png
β β βββ sales by product line_barplot.png
β β
β βββ supermarket_sales_analysis.ipynb
β βββ README.md
β
βββ AirBnb_price_dataset/
β βββ data/
β β βββ Airbnb_Data.csv
β β βββ input_Data.csv
β β βββ input_values_missing.csv
β β
β βββ dashboard/
β β βββ app.py
β β
β βββ Visuals
β β βββ heatmap.png
β β βββ histoplot.png
β β
β βββ airbnb-analysis.ipynb
β βββ README.md
β βββ requirements.txt
β βββ sample_output.csv
β
βββ .gitignore
βββ README.md
Mainuddin Monsur Robin