Data Analysis Project

Overview

This project focuses on supporting business decision-making through data analysis. It includes requirement analysis, data preprocessing, and various data analysis methods.

📁 Project Structure

1. Requirement Analysis - Define business goals and analysis requirements.
2. Preprocessing - Duplicates, Missing Values, Format Adjustment - Clean data by removing duplicates, handling missing values, and standardizing formats.
3. Preprocessing - Outliers and Skewed Distribution - Detect and manage outliers, adjust skewed data distributions.
4. Preprocessing - Monthly Data Normalization - Standardize date formats for time-series analysis.
5. Data Analysis - Product Delivery Service - Analyze delivery efficiency and service quality.
6. Data Analysis - Sales Region Potential - Evaluate market potential across different regions.
7. Data Analysis - Product Quality & Summary - Analyze product quality and summarize key findings.

🚀 How to Use

1. Clone the repository:

   git clone https://github.com/Nilll0/AI-in-Order-management.git

2. Explore each folder for specific analysis steps.

🧰 Tech Stack

• Languages: Python, R
• Libraries: Pandas, NumPy, Matplotlib, Seaborn
• ML Tools (if applicable): Scikit-learn