{"id":49231311,"url":"https://github.com/dataspieler12345/user_journey_analysis_project","last_synced_at":"2026-04-24T12:02:26.600Z","repository":{"id":324446077,"uuid":"1097181265","full_name":"DataSpieler12345/user_journey_analysis_project","owner":"DataSpieler12345","description":"User Journey Analysis in Python Project Create your own functions and tools to analyze user journey strings in Python.","archived":false,"fork":false,"pushed_at":"2025-11-15T21:31:52.000Z","size":1226,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-11-15T22:20:13.314Z","etag":null,"topics":["matplotlib","numpy","pandas"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/DataSpieler12345.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2025-11-15T17:26:08.000Z","updated_at":"2025-11-15T21:31:55.000Z","dependencies_parsed_at":null,"dependency_job_id":null,"html_url":"https://github.com/DataSpieler12345/user_journey_analysis_project","commit_stats":null,"previous_names":["dataspieler12345/user_journey_analysis_project"],"tags_count":null,"template":false,"template_full_name":null,"purl":"pkg:github/DataSpieler12345/user_journey_analysis_project","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DataSpieler12345%2Fuser_journey_analysis_project","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DataSpieler12345%2Fuser_journey_analysis_project/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DataSpieler12345%2Fuser_journey_analysis_project/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DataSpieler12345%2Fuser_journey_analysis_project/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/DataSpieler12345","download_url":"https://codeload.github.com/DataSpieler12345/user_journey_analysis_project/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DataSpieler12345%2Fuser_journey_analysis_project/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32222483,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-24T10:26:35.452Z","status":"ssl_error","status_checked_at":"2026-04-24T10:25:27.643Z","response_time":64,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["matplotlib","numpy","pandas"],"created_at":"2026-04-24T12:02:21.928Z","updated_at":"2026-04-24T12:02:26.593Z","avatar_url":"https://github.com/DataSpieler12345.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003cp align=\"center\"\u003e\n  \u003cimg src=\"images/the_project.PNG\" alt=\"User Journey Analysis Banner\" width=\"100%\"\u003e\n\u003c/p\u003e\n\n\u003ch1 align=\"center\"\u003e📊 User Journey Analysis in Python\u003c/h1\u003e\n\n\u003cp align=\"center\"\u003e\n  \u003cb\u003eAnalyze user navigation patterns, identify most visited pages, discover common journeys, and extract behavioral insights from raw web logs.\u003c/b\u003e\n  \u003cbr\u003e\n  \u003cbr\u003e\n  \u003cimg src=\"https://img.shields.io/badge/Python-3.10+-blue?logo=python\"\u003e\n  \u003cimg src=\"https://img.shields.io/badge/Pandas-Data%20Analysis-green?logo=pandas\"\u003e\n  \u003cimg src=\"https://img.shields.io/badge/Jupyter-Notebook-orange?logo=jupyter\"\u003e\n  \u003cimg src=\"https://img.shields.io/badge/Status-Completed-brightgreen\"\u003e\n\u003c/p\u003e\n\n---\n\n## 🚀 Overview\n\nThis project processes raw page-view logs and transforms them into **meaningful behavioral insights** about how users navigate across a website.\n\nYou will uncover:\n\n- ⭐ **Most visited pages**\n- 🔁 **Most frequent next pages (follow-up navigation)**\n- 🔗 **Most common user journey sequences (N-grams)**\n- 📏 **Average journey length**\n- 🎯 **Insights to optimize conversions \u0026 user flows**\n\n---\n\n## 📌 Key Insights (Examples)\n\n### **1️⃣ Most Popular Pages**\n{'Total pages': 3282, 'Homepage': 634, 'Sign up': 480, 'Other': 417, 'Courses': 344, ...}\n\n---\n\n### **2️⃣ Most Frequent Follow-Ups (after Homepage)**\n{'Pricing': 133, 'Sign up': 124, 'Career tracks': 123, 'Courses': 90, ...}\n\n---\n\n### **3️⃣ Most Common 3-Page Journeys**\n{('Homepage', 'Career tracks', 'Sign up'): 34,\n('Homepage', 'Pricing', 'Checkout'): 24,\n('Homepage', 'Courses', 'Sign up'): 23, ... }\n\n---\n\n### **4️⃣ Average Journey Length**\n📏 **2.43 pages per journey**  \nIndicates quick user drop-off or highly efficient navigation depending on context.\n\n---\n\n## 🧱 Project Structure\n\n\u003cimg width=\"481\" height=\"317\" alt=\"image\" src=\"https://github.com/user-attachments/assets/365d76fd-6260-45c0-8349-1cf047c27ec8\" /\u003e\n\n\n---\n\n## 🛠️ Technologies Used\n\n| Technology | Purpose |\n|-----------|---------|\n| 🐍 **Python** | Core programming language |\n| 📊 **Pandas** | Data manipulation \u0026 exploration |\n| 🔢 **NumPy** | Sequence \u0026 numeric operations |\n| 📓 **Jupyter** | Interactive analysis environment |\n| 🧾 **Git** | Version control |\n\n---\n\n## 🖼️ Project Images / Visualizations\n\nPlace your images in:  \n`/images/`  \n\n### 📌 Example placeholders (you can replace with your own)\n\n1. **Most Popular Pages**\n2. **Navigation Follow-Ups**\n3. **User Journey Sequences**\n\n```md\n\u003cp align=\"center\"\u003e\n  \u003cimg src=\"images/placeholder1.png\" width=\"70%\"\u003e\n  \u003cbr\u003e\n  \u003cem\u003eMost Popular Pages\u003c/em\u003e\n\u003c/p\u003e\n\n⚙️ Installation \u0026 Setup\n\nClone the repository:\n\ngit clone https://github.com/yourusername/user_journey_analysis_project.git\ncd user_journey_analysis_project\n\nInstall required libraries:\n\npip install -r requirements.txt\n\nRun the main notebook:\n\njupyter notebook notebooks/User_journey_analysis.ipynb\n\n📬 Contact\n\nAuthor: DataSpieler\n🌐 GitHub: https://github.com/dataspieler\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdataspieler12345%2Fuser_journey_analysis_project","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdataspieler12345%2Fuser_journey_analysis_project","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdataspieler12345%2Fuser_journey_analysis_project/lists"}