Description: This repository provides a Streamlit-based application for visualizing and analyzing currency exchange rates. It integrates descriptive analytics to give users a comprehensive understanding of key trends and statistics. Ideal for financial analysts, data enthusiasts, and developers looking to explore or extend the capabilities of a descriptive analytics dashboard.
Features:
📊 Dynamic Data Table: Display exchange rates with highlighted maximum values for quick insights.
📈 Descriptive Statistics: Automatically calculate and present metrics like mean, standard deviation, and min/max values.
📉 Interactive Visualizations: Generate bar charts, line charts, and more for better trend analysis.
⚙️ Customizability: Easy-to-modify code to accommodate additional analytics or data sources.
🛠 Built with Streamlit: A fast and interactive web app framework for Python.
Usage:
Clone the repository.
Install dependencies with
pip install -r requirements.txt.
Run the app locally using streamlit run app.py
Explore exchange rates, descriptive stats, and visualizations in an intuitive interface.
Technologies Used:
Python Pandas for data manipulation and analytics. Streamlit for the interactive dashboard. Matplotlib/Plotly (optional) for advanced visualizations.
Future Enhancements: Advanced statistical analysis and predictive modeling. Enhanced interactivity with filters and user inputs. Feel free to contribute, report issues, or suggest new features! 🚀