https://github.com/kunalkumar2001/data-analytics-python-project
Data Analyst Python Project for Portfolio
https://github.com/kunalkumar2001/data-analytics-python-project
data-analysis data-anaytics matplotlib numpy pandas python seaborn
Last synced: 2 months ago
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Data Analyst Python Project for Portfolio
- Host: GitHub
- URL: https://github.com/kunalkumar2001/data-analytics-python-project
- Owner: kunalkumar2001
- Created: 2024-12-07T08:26:41.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-02-17T03:32:29.000Z (over 1 year ago)
- Last Synced: 2025-03-28T08:45:19.727Z (about 1 year ago)
- Topics: data-analysis, data-anaytics, matplotlib, numpy, pandas, python, seaborn
- Language: Jupyter Notebook
- Homepage:
- Size: 17.9 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# **Data Analytics Python Project**
_A collection of Python-based data analytics projects showcasing exploratory data analysis, visualizations, and actionable insights._
---
## **Table of Contents**
1. [Overview](#overview)
2. [Projects](#projects)
- [ChatGPT Reviews Analysis](#1-chatgpt-reviews-analysis)
- [Elections Ad Spending Analysis](#2-elections-ad-spending-analysis)
- [IPL 2024 RCB vs DC Analysis](#3-ipl-2024-rcb-vs-dc-analysis)
- [Netflix Content Strategy Analysis](#4-netflix-content-strategy-analysis)
- [Rainfall Trends in India Analysis](#5-rainfall-trends-in-india-analysis)
3. [Technologies Used](#technologies-used)
4. [Setup Instructions](#setup-instructions)
5. [Contributing](#contributing)
6. [License](#license)
7. [Contact](#contact)
---
## **Overview**
The **Data Analytics Python Project** repository features multiple projects focused on real-world data problems. Each project:
- Leverages Python for data manipulation, visualization, and analysis.
- Explores datasets to uncover patterns and provide actionable insights.
- Utilizes visual storytelling to communicate results effectively.
These projects are suitable for data analysts, data scientists, and Python enthusiasts seeking to learn or implement analytics workflows.
---
## Projects
### 1. ChatGPT Reviews Analysis
- **Description**: Analyze user feedback and reviews of ChatGPT to uncover sentiment trends, popular features, and common issues.
- **Key Highlights**:
- Sentiment classification (positive, neutral, negative)
- Word cloud visualization of frequently used terms
- Recommendations for improvement based on user feedback
### 2. Elections Ad Spending Analysis
- **Description**: An exploration of advertising spending during elections, focusing on key parties, platforms, and spending trends.
- **Key Highlights**:
- Comparison of ad spending across major political parties
- Time-series analysis of ad spending patterns
- Correlation between ad spending and public sentiment
### 3. IPL 2024 RCB vs DC Analysis
- **Description**: A detailed analysis of the IPL 2024 match between RCB and DC, covering player performance and team strategies.
- **Key Highlights**:
- Player performance metrics (e.g., strike rates, economy rates)
- Team comparisons across batting and bowling metrics
- Predictive insights for future matches
### 4. Netflix Content Strategy Analysis
- **Description**: Evaluate Netflix’s content strategy by analyzing trends in genres, audience preferences, and production patterns.
- **Key Highlights**:
- Genre trends over time
- Regional content preferences
- Recommendations for improving viewer retention
### 5. Rainfall Trends in India Analysis
- **Description**: A study of rainfall patterns in India, identifying seasonal trends and state-wise anomalies.
- **Key Highlights**:
- State-wise rainfall distribution
- Seasonal deviations and anomalies
- Predictive modeling for rainfall trends
-
---
## **Technologies Used**
The projects in this repository leverage the following technologies and libraries:
- **Programming Language**: Python
- **Advanced Excel Functions**: Demonstrates use of Excel functions like VLOOKUP, HLOOKUP, IF, INDEX-MATCH, and more.
- **Libraries:**
- Data Analysis: `Pandas`, `NumPy`
- Visualization: `Matplotlib`, `Seaborn`
- NLP: `NLTK`
- Predictive Modeling: `Scikit-learn`
- **Tools**:
- Jupyter Notebook
---
## **Setup Instructions**
1. Clone the repository:
```bash
git clone https://github.com/kunalkumar2001/Data-Analytics-Python-Project.git
cd Data-Analytics-Python-Project
## **Contributing**
Contributions are welcome!
If you’d like to improve the projects, fix bugs, or add new analyses, follow these steps:
1. Fork the repository.
2. Create a feature branch:
```bash
git checkout -b feature/your-feature-name
3. Commit your changes
```bash
git commit -m "Add your feature description"
4. Push the branch to your fork:
```bash
git push origin feature/your-feature-name
5. Open a pull request
## **License**
This project is licensed under the MIT License.
---
This `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!