{"id":22546302,"url":"https://github.com/kunalkumar2001/data-analytics-python-project","last_synced_at":"2026-04-19T14:01:53.825Z","repository":{"id":266957009,"uuid":"899869559","full_name":"kunalkumar2001/Data-Analytics-Python-Project","owner":"kunalkumar2001","description":"Data Analyst Python Project for Portfolio","archived":false,"fork":false,"pushed_at":"2025-02-17T03:32:29.000Z","size":18797,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-28T08:45:19.727Z","etag":null,"topics":["data-analysis","data-anaytics","matplotlib","numpy","pandas","python","seaborn"],"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/kunalkumar2001.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":"2024-12-07T08:26:41.000Z","updated_at":"2025-02-17T03:32:32.000Z","dependencies_parsed_at":"2024-12-07T09:32:29.476Z","dependency_job_id":null,"html_url":"https://github.com/kunalkumar2001/Data-Analytics-Python-Project","commit_stats":null,"previous_names":["kunalkumar2001/data-analytics-python-project"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kunalkumar2001%2FData-Analytics-Python-Project","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kunalkumar2001%2FData-Analytics-Python-Project/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kunalkumar2001%2FData-Analytics-Python-Project/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kunalkumar2001%2FData-Analytics-Python-Project/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/kunalkumar2001","download_url":"https://codeload.github.com/kunalkumar2001/Data-Analytics-Python-Project/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245999322,"owners_count":20707554,"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-anaytics","matplotlib","numpy","pandas","python","seaborn"],"created_at":"2024-12-07T15:06:52.250Z","updated_at":"2026-04-19T14:01:53.728Z","avatar_url":"https://github.com/kunalkumar2001.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# **Data Analytics Python Project**\n\n_A collection of Python-based data analytics projects showcasing exploratory data analysis, visualizations, and actionable insights._\n\n---\n\n## **Table of Contents**\n1. [Overview](#overview)  \n2. [Projects](#projects)  \n   - [ChatGPT Reviews Analysis](#1-chatgpt-reviews-analysis)  \n   - [Elections Ad Spending Analysis](#2-elections-ad-spending-analysis)  \n   - [IPL 2024 RCB vs DC Analysis](#3-ipl-2024-rcb-vs-dc-analysis)  \n   - [Netflix Content Strategy Analysis](#4-netflix-content-strategy-analysis)  \n   - [Rainfall Trends in India Analysis](#5-rainfall-trends-in-india-analysis)  \n3. [Technologies Used](#technologies-used)  \n4. [Setup Instructions](#setup-instructions)  \n5. [Contributing](#contributing)  \n6. [License](#license)  \n7. [Contact](#contact)  \n\n---\n\n## **Overview**\n\nThe **Data Analytics Python Project** repository features multiple projects focused on real-world data problems. Each project:\n- Leverages Python for data manipulation, visualization, and analysis.\n- Explores datasets to uncover patterns and provide actionable insights.\n- Utilizes visual storytelling to communicate results effectively.\n\nThese projects are suitable for data analysts, data scientists, and Python enthusiasts seeking to learn or implement analytics workflows.\n\n---\n\n## Projects\n\n### 1. ChatGPT Reviews Analysis\n   - **Description**: Analyze user feedback and reviews of ChatGPT to uncover sentiment trends, popular features, and common issues.\n   - **Key Highlights**:\n     - Sentiment classification (positive, neutral, negative)\n     - Word cloud visualization of frequently used terms\n     - Recommendations for improvement based on user feedback\n\n### 2. Elections Ad Spending Analysis\n   - **Description**: An exploration of advertising spending during elections, focusing on key parties, platforms, and spending trends.\n   - **Key Highlights**:\n     - Comparison of ad spending across major political parties\n     - Time-series analysis of ad spending patterns\n     - Correlation between ad spending and public sentiment\n\n### 3. IPL 2024 RCB vs DC Analysis\n   - **Description**: A detailed analysis of the IPL 2024 match between RCB and DC, covering player performance and team strategies.\n   - **Key Highlights**:\n     - Player performance metrics (e.g., strike rates, economy rates)\n     - Team comparisons across batting and bowling metrics\n     - Predictive insights for future matches\n\n### 4. Netflix Content Strategy Analysis\n   - **Description**: Evaluate Netflix’s content strategy by analyzing trends in genres, audience preferences, and production patterns.\n   - **Key Highlights**:\n     - Genre trends over time\n     - Regional content preferences\n     - Recommendations for improving viewer retention\n\n### 5. Rainfall Trends in India Analysis\n   - **Description**: A study of rainfall patterns in India, identifying seasonal trends and state-wise anomalies.\n   - **Key Highlights**:\n     - State-wise rainfall distribution\n     - Seasonal deviations and anomalies\n     - Predictive modeling for rainfall trends\n     - \n\n---\n\n## **Technologies Used**\nThe projects in this repository leverage the following technologies and libraries:\n\n\n\n- **Programming Language**: Python\n- **Advanced Excel Functions**: Demonstrates use of Excel functions like VLOOKUP, HLOOKUP, IF, INDEX-MATCH, and more.\n- **Libraries:**\n   - Data Analysis: `Pandas`, `NumPy`\n   - Visualization: `Matplotlib`, `Seaborn`\n   - NLP: `NLTK`\n   - Predictive Modeling: `Scikit-learn`\n- **Tools**:\n   - Jupyter Notebook   \n\n---\n\n\n## **Setup Instructions**\n\n1. Clone the repository:\n   ```bash\n      git clone https://github.com/kunalkumar2001/Data-Analytics-Python-Project.git\n      cd Data-Analytics-Python-Project\n\n\n## **Contributing** \nContributions are welcome!\n\nIf you’d like to improve the projects, fix bugs, or add new analyses, follow these steps:\n\n   1. Fork the repository.\n   2. Create a feature branch:\n      ```bash\n         git checkout -b feature/your-feature-name\n   3. Commit your changes\n      ```bash\n       git commit -m \"Add your feature description\"\n   4. Push the branch to your fork:\n      ```bash\n         git push origin feature/your-feature-name\n   5. Open a pull request\n\n\n## **License**\nThis project is licensed under the MIT License.\n\n---\n\nThis `README.md` provides a clear overview of each project, its purpose, and your analytical techniques. Let me know if you'd like to add more details to specific projects or sections!\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkunalkumar2001%2Fdata-analytics-python-project","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkunalkumar2001%2Fdata-analytics-python-project","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkunalkumar2001%2Fdata-analytics-python-project/lists"}