Fill in Missing Data with AI

Intelligently fill gaps in your data while preserving the relationships between variables.

• Preserves Relationships: Filled values respect the patterns in your existing data
• Handles Any Pattern: Random gaps, systematic gaps, or a mix of both
• Quality Report: See exactly how well each variable was filled
• Easy Export: Download your complete dataset as CSV or Excel

How it works:

1. Upload your data file (with missing values)
2. Review which variables have gaps and how many
3. Choose which gaps to fill and run the AI
4. Check the quality report and download your complete data

Missing Values by Variable

Missingness Patterns

Configuration Summary

Data Preview

First 10 rows:

Filling in Your Data

Process Log

PRISM Quality Framework

Imputed Data Preview

First 10 rows:

Export Options

What's next? Your complete dataset is ready for deeper analysis. Try Distillation to combine related questions into summary scores, Catalyst to discover what drives your key outcomes, or Segmentation to find distinct groups in your data.

🎯 Welcome to Data Projection

Turn a small survey into population-level estimates using AI.

• 20x Expansion: Turn 1,000 respondents into 20,000 representative records
• Fast Generation: Results ready in minutes
• Quality Scored: Every output gets a quality grade so you know what to trust
• What-If Scenarios: Test how changing your audience mix affects results

Getting Started:

1. Upload your survey data (500-2,000 respondents works best)
2. Upload your population data (the demographics you want to represent)
3. Link shared variables (demographics like Age, Gender)
4. Select which survey questions to generate for the full population
5. Generate data and download results

📐 Sample Size Check

🏷️ Variable Types

Specify the type for each target variable:

💡 Recommendations

🔧 Value Recoding Required

The values in your survey don't exactly match the values in the universe. Please map each value below so the model can generate accurate synthetic data.

🔗 Map Values

👁️ Preview

Sample of how values will be recoded:

📋 Generation Summary

🔗 Variable Mappings

Generating Your Data

Progress Log

📊 PRISM Quality Framework

📐 Utility & Sample Power

👁️ Data Preview

First 10 rows of your generated data:

What's next? Your expanded dataset is ready for deeper analysis. Try Distillation to create summary scores from related questions, Catalyst to discover what drives your outcomes, or Segmentation to find distinct groups in your expanded data.