# Analysis Report

We generate a comprehensive comparison between the original and synthetic datasets to help users evaluate data quality, integrity, and realism.&#x20;

<figure><img src="https://3880275819-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fw0S9kM80gkLfSzjBD213%2Fuploads%2FMGu1D9aI3hx6gbl6nZ6e%2Fanalysis.png?alt=media&#x26;token=c6ab7c0d-d160-47e8-a6bf-fb57c39d894c" alt=""><figcaption></figcaption></figure>

### Analysis report includes:

* **Accuracy** – Measures how closely synthetic values match original patterns.
* **Similarity Score** – Quantifies overall resemblance (distributional, structural).
* **Uniqueness Ratio** – Percentage of unique rows in synthetic data vs. original.
* **Descriptive Statistics** – Mean, Std Dev, Min, Max per column for both datasets.

<figure><img src="https://3880275819-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fw0S9kM80gkLfSzjBD213%2Fuploads%2FveOa8iv4Cjpa6P1XyoLe%2Fanalysiss.png?alt=media&#x26;token=292a222a-0a9e-4cb8-a814-33697be6f2cb" alt=""><figcaption></figcaption></figure>

We also include:

1. **Univariate Analysis -** Analyzes individual columns and giving report in line chart.
2. **Bivariate Analysis-** Compares relationships between two variables using:
   * **Scatter Plots**
   * **Correlation Heatmaps**
3. **Multivariate Analysis-** Assesses complex relationships across multiple features
