https://github.com/dataspieler12345/user_journey_analysis_project
User Journey Analysis in Python Project Create your own functions and tools to analyze user journey strings in Python.
https://github.com/dataspieler12345/user_journey_analysis_project
matplotlib numpy pandas
Last synced: 2 months ago
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User Journey Analysis in Python Project Create your own functions and tools to analyze user journey strings in Python.
- Host: GitHub
- URL: https://github.com/dataspieler12345/user_journey_analysis_project
- Owner: DataSpieler12345
- Created: 2025-11-15T17:26:08.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2025-11-15T21:31:52.000Z (7 months ago)
- Last Synced: 2025-11-15T22:20:13.314Z (7 months ago)
- Topics: matplotlib, numpy, pandas
- Language: Jupyter Notebook
- Homepage:
- Size: 1.17 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
📊 User Journey Analysis in Python
Analyze user navigation patterns, identify most visited pages, discover common journeys, and extract behavioral insights from raw web logs.
---
## 🚀 Overview
This project processes raw page-view logs and transforms them into **meaningful behavioral insights** about how users navigate across a website.
You will uncover:
- ⭐ **Most visited pages**
- 🔁 **Most frequent next pages (follow-up navigation)**
- 🔗 **Most common user journey sequences (N-grams)**
- 📏 **Average journey length**
- 🎯 **Insights to optimize conversions & user flows**
---
## 📌 Key Insights (Examples)
### **1️⃣ Most Popular Pages**
{'Total pages': 3282, 'Homepage': 634, 'Sign up': 480, 'Other': 417, 'Courses': 344, ...}
---
### **2️⃣ Most Frequent Follow-Ups (after Homepage)**
{'Pricing': 133, 'Sign up': 124, 'Career tracks': 123, 'Courses': 90, ...}
---
### **3️⃣ Most Common 3-Page Journeys**
{('Homepage', 'Career tracks', 'Sign up'): 34,
('Homepage', 'Pricing', 'Checkout'): 24,
('Homepage', 'Courses', 'Sign up'): 23, ... }
---
### **4️⃣ Average Journey Length**
📏 **2.43 pages per journey**
Indicates quick user drop-off or highly efficient navigation depending on context.
---
## 🧱 Project Structure
---
## 🛠️ Technologies Used
| Technology | Purpose |
|-----------|---------|
| 🐍 **Python** | Core programming language |
| 📊 **Pandas** | Data manipulation & exploration |
| 🔢 **NumPy** | Sequence & numeric operations |
| 📓 **Jupyter** | Interactive analysis environment |
| 🧾 **Git** | Version control |
---
## 🖼️ Project Images / Visualizations
Place your images in:
`/images/`
### 📌 Example placeholders (you can replace with your own)
1. **Most Popular Pages**
2. **Navigation Follow-Ups**
3. **User Journey Sequences**
```md
Most Popular Pages
⚙️ Installation & Setup
Clone the repository:
git clone https://github.com/yourusername/user_journey_analysis_project.git
cd user_journey_analysis_project
Install required libraries:
pip install -r requirements.txt
Run the main notebook:
jupyter notebook notebooks/User_journey_analysis.ipynb
📬 Contact
Author: DataSpieler
🌐 GitHub: https://github.com/dataspieler