python-data-analysis-project - A Python project for exploratory data analysis using Pandas, Seaborn, and Matplotlib on real-world datasets.

📌 Project Overview

This project showcases end-to-end data analysis using Python on a real-world dataset. It includes data cleaning, exploratory data analysis (EDA), visualizations, and insights derived from the data.

🧠 Objectives

• Perform comprehensive exploratory data analysis
• Identify trends, patterns, and correlations
• Visualize key insights using powerful Python libraries

📂 Dataset

The dataset used in this project contains information about customer transactions/ sales/ orders etc.

🛠️ Tools & Technologies

• Python
• Pandas
• NumPy
• Matplotlib
• Seaborn
• Jupyter Notebook

📊 Key Steps

1. Data Loading
2. Data Cleaning & Preprocessing
3. Handling Missing Values & Duplicates
4. Exploratory Data Analysis (EDA)
5. Visualizations
6. Final Insights & Recommendations

📈 Sample Insights

• Top-selling products by category
• Revenue trends across months
• Customer behavior segmentation

📌 Folder Structure

|-- data/Well_Structured_Data_Over_The_VSCode.ipynb | |-- dataset/Customer Sales Data.csv | |-- analysis/pythonprog1.ipynb |-- Sectoral Graph/Sector wise graph.png | |-- Expense Chart/Sector Wise Expenses.png |-- README/README.md