🪙 Bitcoin Sales Data Dashboard 📊 Overview
-This project analyzes and visualizes Bitcoin sales data using Python and Pandas. -It focuses on cleaning large datasets, exploring key metrics (like Open, Close, Volume), and visualizing Bitcoin price trends over time.
🧠 Key Features
-Loads large Bitcoin CSV data efficiently -Generates useful summary statistics (mean, median, etc.) -Visualizes trends in closing prices and daily volatility -Demonstrates data downsampling for performance -Uses Pandas and Matplotlib for analytics
📈 Example Output
-Summary statistics of Bitcoin data -Line chart showing Closing Price over Time -Daily volatility trends
-The full dataset (btcsales.csv, >350 MB) is not included due to GitHub’s file size limit. -A smaller subset (btc_shortsample.csv) is provided for demonstration purposes.