{"id":27471060,"url":"https://github.com/dhruwsunita/iphones-eda-analysis","last_synced_at":"2026-05-06T19:08:23.206Z","repository":{"id":287506751,"uuid":"964959764","full_name":"dhruwsunita/iPhones-EDA-Analysis","owner":"dhruwsunita","description":"EDA analysis on apple products.","archived":false,"fork":false,"pushed_at":"2025-04-12T05:58:27.000Z","size":27,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-16T01:50:11.403Z","etag":null,"topics":["data-analysis","data-visualization","eda","matplotlib","numpy","pandas","plotly","python","seaborn"],"latest_commit_sha":null,"homepage":"https://github.com/dhruwsunita/iPhones-EDA-Analysis","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/dhruwsunita.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}},"created_at":"2025-04-12T05:30:24.000Z","updated_at":"2025-04-12T06:06:01.000Z","dependencies_parsed_at":"2025-04-12T06:28:48.557Z","dependency_job_id":"f266ca62-7568-4075-ba35-d5d4d2f5fac0","html_url":"https://github.com/dhruwsunita/iPhones-EDA-Analysis","commit_stats":null,"previous_names":["dhruwsunita/iphones-eda-analysis"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/dhruwsunita/iPhones-EDA-Analysis","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dhruwsunita%2FiPhones-EDA-Analysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dhruwsunita%2FiPhones-EDA-Analysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dhruwsunita%2FiPhones-EDA-Analysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dhruwsunita%2FiPhones-EDA-Analysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/dhruwsunita","download_url":"https://codeload.github.com/dhruwsunita/iPhones-EDA-Analysis/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dhruwsunita%2FiPhones-EDA-Analysis/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":259653875,"owners_count":22890912,"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","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-analysis","data-visualization","eda","matplotlib","numpy","pandas","plotly","python","seaborn"],"created_at":"2025-04-16T01:38:20.065Z","updated_at":"2026-05-06T19:08:23.166Z","avatar_url":"https://github.com/dhruwsunita.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# iPhones-EDA-Analysis\n# Overview:\nThe iPhone, a flagship product of Apple Inc has revolutionized the telecommunications industry since its inception in 2007. Renowned for its cutting-edge technology, sleek design, and user-friendly interface, the iPhone has consistently dominated the global smartphone market, setting benchmarks for innovation and driving substantial revenue for Apple.\n\nThis analysis aims to delve into the intricate dynamics of iPhone sales, exploring various factors influencing its market performance from consumer preferences.It will offer stakeholders, including investors, policymakers, and industry observers, seeking to understand the dynamics of one of the most dynamic and promising smartphone markets in the world.\n\n# Dataset Used:\nDataset - [apple_products](https://www.google.com/url?q=https%3A%2F%2Fwww.kaggle.com%2Fcode%2Fronikdedhia%2Fiphone-sales-analysis%2Finput%3Fselect%3Dapple_products.csv)\n\n![pic1](https://github.com/user-attachments/assets/2257f24f-9370-4574-8429-fccbc73fb4a5)\nThis data was taken from Kaggle. This is the data about the sales of iPhones in India on Flipkart. It is an ideal dataset to analyze the sales of iPhones in India.The data is analysed using python. The important libraries are imported.\n\n# 🔍 Project Highlights:\n- 📊 Sales Distribution: Identify top-selling iPhone models and analyze model-wise trends.\n- 💰 Price vs Rating: Explore how pricing affects customer ratings and preferences.\n- 🧠 Customer Insights: Uncover popular choices based on color, storage, and features.\n- 📈 Trend Analysis: Visualize changes in ratings and pricing across different models.\n- 🔗 Correlation Analysis: Understand relationships between multiple product features.\n\n# 🛠 Tools Used :\n- Python\n- Pandas, NumPy\n- Matplotlib, Seaborn, Plotly\n- Jupyter Notebook\n\n# 🎯 Final Insights\nThe analysis reveals key factors that influence iPhone sales, including preferred models, ideal pricing ranges, and consumer sentiment. These insights can help in shaping better marketing strategies, feature enhancements, and pricing decisions.\n![pic2](https://github.com/user-attachments/assets/535a03b4-9143-48ae-be67-3524ca24eafa)\n\n![pic3](https://github.com/user-attachments/assets/c05b2f6d-f07f-4b3b-ac4e-a8c87b1c223c)\n\n![pic4](https://github.com/user-attachments/assets/561ee0e3-36df-43e1-8c06-585c12d4fa85)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdhruwsunita%2Fiphones-eda-analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdhruwsunita%2Fiphones-eda-analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdhruwsunita%2Fiphones-eda-analysis/lists"}