https://github.com/arslan3x5/eda-journey
Exploratory data analysis (EDA) and visualization projects focusing on diverse datasets, including Bitcoin price trends and Indian restaurant reviews. Each notebook aims to provide insights and showcase data storytelling through visual exploration.
https://github.com/arslan3x5/eda-journey
bitcoin data-science data-visualization eda
Last synced: about 1 month ago
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Exploratory data analysis (EDA) and visualization projects focusing on diverse datasets, including Bitcoin price trends and Indian restaurant reviews. Each notebook aims to provide insights and showcase data storytelling through visual exploration.
- Host: GitHub
- URL: https://github.com/arslan3x5/eda-journey
- Owner: Arslan3x5
- Created: 2023-07-16T08:14:26.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-11-05T15:16:31.000Z (8 months ago)
- Last Synced: 2025-03-23T15:42:06.206Z (3 months ago)
- Topics: bitcoin, data-science, data-visualization, eda
- Language: Jupyter Notebook
- Homepage:
- Size: 886 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Data Exploration and Visualization Projects
This repository contains exploratory data analysis (EDA) and visualization projects focusing on diverse datasets, including Bitcoin price trends and Indian restaurant reviews. Each notebook aims to provide insights and showcase data storytelling through visual exploration.
---
## Notebooks Included
1. **[bitcoin-price-eda-visualization.ipynb](bitcoin-price-eda-visualization.ipynb)**
- **Description**: Analyzes and visualizes historical Bitcoin price data, identifying key patterns, trends, and potential market insights.
- **Tools Used**: Python libraries like Pandas, Matplotlib, and Seaborn.
- **Purpose**: To understand price fluctuations in the cryptocurrency market and identify possible influences on Bitcoin pricing over time.
2. **[eda-of-indian-restaurants.ipynb](eda-of-indian-restaurants.ipynb)**
- **Description**: An exploratory analysis of Indian restaurant data, examining factors such as ratings, cuisine types, and pricing trends across different regions.
- **Tools Used**: Pandas, Matplotlib, Seaborn, and Plotly for interactive visualizations.
- **Purpose**: To reveal trends in consumer preferences and regional dining patterns within the Indian restaurant industry.
---
## Getting Started
To run and view these notebooks, you will need:
- **Python**: [Download Python](https://www.python.org/downloads/)
- **Jupyter Notebook**: Install via pip with:
```bash
pip install notebook
```
- **Required Libraries**: Install the necessary libraries by running:
```bash
pip install pandas matplotlib seaborn plotly
```
## Running the Notebooks
1. Clone this repository:
```bash
git clone https://github.com/arslanr369/your-repo-name.git
```
2. Navigate to the repository folder:
```bash
cd your-repo-name
```
3. Launch Jupyter Notebook:
```bash
jupyter notebook
```
4. Open any notebook and run the cells to explore the data and visualizations.
---
## Repository Structure
```
├── bitcoin-price-eda-visualization.ipynb # EDA on Bitcoin price data
├── eda-of-indian-restaurants.ipynb # EDA on Indian restaurant data
├── README.md # Repository documentation
```
---
## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
---
## About
This repository is created and maintained by **Arslan (@arslanr369)**, who has a keen interest in exploring data to uncover trends and insights. Through these projects, Arslan aims to use data visualization as a tool for storytelling and decision-making.
---
Thank you for checking out this repository!