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| title: EDA Gapminder | |
| emoji: π | |
| colorFrom: green | |
| colorTo: blue | |
| sdk: docker | |
| app_port: 8501 | |
| pinned: false | |
| # Exploratory Data Analysis Gapminder | |
| Interactive exploratory data analysis tool for CSV datasets. | |
| ## Features | |
| - π Data preview with first 10 rows | |
| - π Automatic summary statistics | |
| - π Column information with null counts | |
| - π Interactive scatter plots | |
| - π Distribution histograms | |
| - π₯ Correlation heatmap | |
| ## Tech Stack | |
| - Streamlit for UI | |
| - Plotly for interactive visualizations | |
| - pandas for data processing | |
| ## Usage | |
| 1. Upload any CSV file | |
| 2. View automatic data preview and statistics | |
| 3. Select columns for visualization | |
| 4. Explore scatter plots and distributions | |
| 5. Analyze correlations between numeric columns | |
| ## Supported Datasets | |
| Works with any CSV file containing: | |
| - Numeric data (int, float) | |
| - Categorical data (strings) | |
| - Mixed data types | |
| Best results with datasets that have at least 2 numeric columns. |