DOE - Interactive Design of Experiments

🚀 A illsutrative web-based application for Design of Experiments (DOE) analysis, built with Streamlit.
This tool enables users to explore factorial designs, one-way ANOVA, and regression analysis interactively, with real-time data visualization and statistical modeling.

📌 Features

✅ Factorial Design Analysis

• Two-level factorial designs (2 factors, 2 levels)
• Three-factor factorial designs (3 factors, 3 levels)
• Fully customizable factor names and levels
• Interactive data generation with user-defined coefficients
• Boxplots, surface plots, and regression models

✅ One-Way ANOVA Analysis

• Three-level factor design (15 replications per level)
• Customizable factor names and level names
• Boxplot visualization of factor effects
• ANOVA table & linear regression summary
• Graphical representation of Sum of Squares (SST, SSTR, SSE)

✅ Statistical Outputs

• Regression equations displayed in LaTeX format
• ANOVA summary table
• OLS regression model results
• Download generated datasets in CSV format

✅ Interactive Data Visualization

• 3D scatter and surface plots for factorial designs
• Boxplots with labeled levels
• Pie charts for Sum of Squares decomposition (SST, SSTR, SSE)

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📂 Installation

To run this Streamlit app locally, follow these steps:

1️⃣ Clone this repository

git clone https://github.com/yourusername/doe-interactive.git
cd doe-interactive

2️⃣ Install required dependencies

Make sure you have Python >=3.8 installed, then run:

pip install -r requirements.txt

3️⃣ Run the app

streamlit run mainapp.py

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🛠 How to Use the App

📊 Factorial Designs

1. Navigate to the Factorial Design section.
2. Define factor names (e.g., Temperature, Pressure, Thinner).
3. Set levels (e.g., Low, Medium, High).
4. Adjust coefficients to explore different effects.
5. Visualize results (boxplots, surface plots, regression model).

📈 One-Way ANOVA

1. Go to the One-Way ANOVA section.
2. Enter a custom factor name (e.g., Material Type).
3. Rename levels (e.g., Plastic, Metal, Wood).
4. Adjust coefficients to set the effect of each level.
5. View the ANOVA table, regression model, and sum of squares decomposition.

📥 Download Data

• Every dataset generated in the app can be exported as a CSV file.

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🚀 Deployment

To deploy this app on Streamlit Cloud, follow these steps:

1. Push your repository to GitHub.
2. Go to Streamlit Cloud.
3. Create a new app and connect it to your GitHub repo.
4. Set the entry point as mainapp.py.
5. Deploy and share your interactive DOE tool! 🎉

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📝 Future Enhancements

🔹 More experimental designs (e.g., fractional factorial, response surface methodology).
🔹 Custom data input support for real-world experiments.

For any questions, open an issue or reach out to us.

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📬 Contact

💡 Developed by: Leonardo H. Talero-Sarmiento
🌐 LinkedIn: Leonardo Talero
📧 Email: ltalero@unab.edu.co

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🎯 Start exploring the power of Design of Experiments with this interactive tool! 🚀