Bitcoin Price Dashboard

Overview

This project is a Python-based dashboard that fetches, analyzes, manipulates, visualizes, and normalizes historical Bitcoin price data from the CoinGecko API. It also includes a simulated real-time data streaming feature using threading.

Features

• Fetch Data: Retrieve historical Bitcoin price data from the CoinGecko API.
• Data Analysis: Compute statistical metrics like mean, median, and standard deviation using NumPy.
• Data Manipulation: Sort, slice, and clean Bitcoin price data, extracting the first and last 7 days for trend analysis.
• Visualization: Generate line and bar charts using Matplotlib.
• Normalization: Apply Min-Max normalization to compare raw and scaled price data.
• Simulated Data Streaming: Fetch and update Bitcoin price data in real-time using threading for concurrency.

Project Structure

├── fetch_data.py         # Fetches Bitcoin data from CoinGecko API
├── process_data.py       # Performs statistical analysis
├── manipulate_data.py    # Sorts, slices, and cleans data
├── visualization.py      # Generates line and bar charts
├── normalization.py      # Normalizes and compares price data
├── datastream.py     # Implements real-time data streaming with threading
├── plots-snip/           # Directory for saving generated plots
├── README.md             # Project documentation
├── requirements.txt      # Required Python packages

Installation

1. Clone the repository:

   git clone https://github.com/NeeteshKumar2/bitcoin_dashboard.git
   cd bitcoin-dashboard

2. Create a virtual environment (optional but recommended):

   python -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`

3. Install dependencies:

   pip install -r requirements.txt

Usage

1. Fetching Bitcoin Data:

   python fetch_data.py

2. Analyzing Bitcoin Price Trends:

   python analyze_data.py

3. Manipulating Data for Trends:

   python manipulate_data.py

4. Visualizing Bitcoin Price Trends:

   python visualization.py

5. Normalizing Bitcoin Prices:

   python normalization.py

6. Simulated Data Streaming (Concurrent Fetching):

   python data_streaming.py

Requirements

See requirements.txt for a list of required dependencies.

License

This project is open-source and free to use. Modify and distribute as needed.

Author

Developed by Neetesh Kumar