license:openrail size_categories:1K<n<10K format:csv modality:tabular modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
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license: openrail
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# Student Success Data

## Overview
This dataset contains information relevant to analyzing student success metrics. It can be used for various purposes, such as performance tracking, predictive modeling, and educational insights.

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## File Information
- **File Name**: `Student success data.csv`
- **Format**: CSV (Comma-Separated Values)
- **Contents**: The file includes structured data on student success metrics, with columns representing various attributes.

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## How to Use This Data

### Prerequisites
Ensure you have the following tools and libraries installed:
- **Python**: Version 3.8 or higher.
- **Required Libraries**:
  - `pandas` (for data manipulation)
  - `numpy` (optional, for numerical operations)
  - `matplotlib` or `seaborn` (for visualization)

Install these libraries using:
```bash
pip install pandas numpy matplotlib seaborn
