In Search for Happiness

A Streamlit app that visualizes and analyzes the factors contributing to happiness across different countries.

Features

• Scatter Plot Analysis: Choose metrics for the X and Y axes to explore relationships, with an option to color by corruption levels.
• Country Comparison: Select multiple countries and compare their data side by side.
• Trend Analysis (Hypothetical): Placeholder for future time-series analysis.

Requirements

• Python 3.x
• Required Python libraries:
  • streamlit
  • plotly
  • pandas

Installation and Setup

1. Clone this repository or download the script files.
2. Make sure you have the required libraries installed. You can install them using:

   pip install streamlit plotly pandas seaborn matplotlib
   

3. Ensure the happy.csv file is in the same directory as the script.

Usage

1. Run the Streamlit app:

   streamlit run main.py
   

2. Use the app interface to explore and analyze the happiness data:
   • Select different metrics for scatter plot analysis.
   • View summary statistics for a quick overview.
   • Use the correlation heatmap to find relationships between variables.
   • Compare multiple countries side by side.
   • Check the placeholder trend analysis.

Example

Run the app to start analyzing happiness factors across different countries, and gain insights into what contributes to overall happiness.