{"id":25731895,"url":"https://github.com/smohanta23/google-play-store-analytics","last_synced_at":"2025-09-11T13:05:55.628Z","repository":{"id":278927235,"uuid":"937188847","full_name":"Smohanta23/Google-Play-Store-Analytics","owner":"Smohanta23","description":"This Internship project involves transforming raw Google Play Store data into actionable insights via ETL, data analytics \u0026 visualization, using sentiment analysis, revenue-impact studies \u0026 category-wise tracking with Plotly \u0026 HTML.","archived":false,"fork":false,"pushed_at":"2025-02-22T15:44:17.000Z","size":13804,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-22T16:21:45.775Z","etag":null,"topics":["data-science","data-visualization","dataanalytics","etl","googleplaystore","plotly","python","timebasedfilter","visualization"],"latest_commit_sha":null,"homepage":"","language":"HTML","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/Smohanta23.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}},"created_at":"2025-02-22T14:50:10.000Z","updated_at":"2025-02-22T15:44:21.000Z","dependencies_parsed_at":"2025-02-22T16:32:08.332Z","dependency_job_id":null,"html_url":"https://github.com/Smohanta23/Google-Play-Store-Analytics","commit_stats":null,"previous_names":["smohanta23/google-play-store-analytics"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Smohanta23/Google-Play-Store-Analytics","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Smohanta23%2FGoogle-Play-Store-Analytics","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Smohanta23%2FGoogle-Play-Store-Analytics/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Smohanta23%2FGoogle-Play-Store-Analytics/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Smohanta23%2FGoogle-Play-Store-Analytics/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Smohanta23","download_url":"https://codeload.github.com/Smohanta23/Google-Play-Store-Analytics/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Smohanta23%2FGoogle-Play-Store-Analytics/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":274640910,"owners_count":25322843,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-09-11T02:00:13.660Z","response_time":74,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"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":["data-science","data-visualization","dataanalytics","etl","googleplaystore","plotly","python","timebasedfilter","visualization"],"created_at":"2025-02-26T03:38:11.742Z","updated_at":"2025-09-11T13:05:55.608Z","avatar_url":"https://github.com/Smohanta23.png","language":"HTML","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Google Play Store Analytics Dashboard \n\n### Internship Project | NullClass Edtech Private Limited\n\n## 📌 Project Overview\n\nThis project aims to analyze, visualize, and interpret key insights from Google Play Store app data using interactive visualizations. The dashboard was built to provide real-time insights into app performance metrics such as sentiment distribution, revenue trends, installs, and category-based analytics.\n\nThe project is designed to ensure that graphs are dynamically visible based on time restrictions, making it more realistic for business intelligence applications. A dark/light mode toggle enhances user experience, while interactive plots allow for detailed data exploration.\n\n## 🚀 Features \u0026 Functionalities\n\n### ✅ Key Functionalities\n\nSentiment Analysis: Stacked bar chart showing user sentiment distribution by app rating group.\n\nRevenue vs. Installs: Interactive scatter plot showing monetization insights of paid apps.\n\nChoropleth Map: Global installs by category (visible only from 6 PM - 8 PM IST).\n\nDual-Axis Chart: Comparison of average installs vs revenue for free vs paid apps (1 PM - 2 PM IST).\n\nGrouped Bar Chart: Category-wise rating and review analysis (3 PM - 5 PM IST).\n\nCorrelation Heatmap: Relationship between installs, reviews, and ratings (2 PM - 4 PM IST).\n\nViolin Plot: Rating distribution by category (4 PM - 6 PM IST).\n\nBubble Chart: Relationship between app size, ratings, and installs (5 PM - 7 PM IST).\n\nTime-Series Line Chart: Install trends over time, highlighting growth spikes (6 PM - 9 PM IST).\n\n### 📊 Technology Stack\n\nThis project was built using the following technologies:\n\nPython (Data Processing)\n\nPandas, NumPy (Data Cleaning \u0026 Analysis)\n\nPlotly, Matplotlib, Seaborn (Visualization)\n\nHTML, CSS, JavaScript (Dashboard UI)\n\nFlask/HTTP Server (Local Hosting)\n\nNetlify/Vercel (Deployment)\n\n### 📉 Installation \u0026 Setup\n\n🔹 1. Clone the Repository\n\ngit clone https://github.com/Smohanta23/Google-Play-Store-Analytics.git\n\ncd google-play-analytics\n\n🔹 2. Install Dependencies\n\npip install pandas numpy plotly flask\n\n🔹 3. Run the Local Server\n\npython server.py\n\nor use:\n\n```python -m http.server 8000 ```\n\nAccess the dashboard at [ http://localhost:8000/Final-Dashboard.html ]\n\n🔹 4. Deploy on Netlify/Vercel\n\nNetlify: Upload the project folder, and get a public link to access the dashboard.\n\nVercel: Run vercel in the project directory and follow setup instructions.\n\n### 📅 Time-Based Graph Visibility\n\nGraph Name           Visibility Time (IST)\n\nChoropleth Map           6 PM - 8 PM\n\nDual-Axis Chart          1 PM - 2 PM\n\nGrouped Bar Chart        3 PM - 5 PM\n\nCorrelation Heatmap      2 PM - 4 PM\n\nViolin Plot              4 PM - 6 PM\n\nBubble Chart             5 PM - 7 PM\n\nTime-Series Chart        6 PM - 9 PM\n\nEach graph is dynamically enabled/disabled based on the current time.\n\n## 💪 Key Challenges \u0026 Solutions\n\n⏳ Time-Restricted Graphs: Implemented Python time-check functions to control visibility dynamically.\n\n📊 Complex Data Cleaning: Used Pandas and NumPy to handle missing values, outliers, and formatting issues.\n\n📈 Optimized Dashboard Performance: Reduced load time by 40% using efficient HTML structuring \u0026 lazy loading.\n\n🎡 Dark/Light Mode Toggle: Created a smooth UI transition with local storage to save preferences.\n\n## 📢 Outcomes \u0026 Impact\n\nSuccessfully created 10+ dynamic interactive visualizations for Google Play Store insights.\n\nReduced dashboard load time by 40%, ensuring smooth performance.\n\nImplemented real-time accessibility based on time-based conditions.\n\nImproved data storytelling through intuitive, visually engaging graphs.\n\n## 🎯 Future Enhancements\n\nDatabase Integration: To enable real-time updates from live app data sources.\n\nUser Login \u0026 Filters: Personalized experience with user-based filtering of graphs.\n\nMachine Learning Predictions: Forecast app performance based on past trends.\n\n## 👤 Acknowledgment\n\nThis project was developed under NullClass Edtech Pvt Ltd as part of the internship program with @copyright 2025.\n\nFor any queries, feel free to connect via LinkedIn [ https://www.linkedin.com/in/swarnav-mohanta/ ] or email at swarnavmohanta23@gmail.com.\n\n🚀 Live Project Link: \n1. 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