The Missing Data Imputation Tool is an interactive and data-driven solution designed to help analysts, researchers, and decision-makers handle missing values in datasets effectively. This tool allows users to upload or input a dataset with missing values and apply various imputation techniques such as mean, median, mode, or advanced methods like K-Nearest Neighbors (KNN) and regression-based imputation. It provides actionable insights into the impact of imputation on the dataset and helps stakeholders make informed decisions.

Key Features:

1. Dynamic Input Fields: Users can input datasets with up to five variables or upload a CSV file containing missing values.
2. Imputation Methods: Automatically apply imputation techniques such as mean, median, mode, KNN, or regression-based imputation.
3. Impact Analysis: Compare original and imputed datasets using summary statistics and visualizations.
4. Interactive Charts: Visualize missing data patterns and imputed values using heatmaps, histograms, or scatter plots for enhanced clarity.
5. PDF Export Functionality: Generate downloadable reports summarizing imputation results for presentations or sharing with stakeholders.
6. Modern and Stylish Design: A sleek interface with vibrant colors, animations, and clear typography to enhance user engagement.
7. Fully Responsive: Optimized for all devices, ensuring seamless functionality on desktops, tablets, and mobiles.
8. Self-Contained Container: The tool operates within its own container, ensuring no interference with the page header or footer.

Use Cases:

• Data scientists preparing datasets for machine learning models by handling missing values.
• Researchers analyzing incomplete experimental or survey data.
• Business analysts cleaning operational data for reporting and analysis.

How It Works:
Users input a dataset with missing values or upload a CSV file. The tool identifies missing values and applies the selected imputation method to fill them. Results are displayed in tables and visualizations, allowing users to compare the original and imputed datasets. Users can customize inputs dynamically, analyze scenarios, and download detailed reports in PDF format for further analysis or sharing with stakeholders.