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title: Examples
description: Explore example workflows and applications built with Texera.
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This section showcases example workflows, use cases, and demonstrations to help you understand Texera in action.
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Texera makes it easy to design and execute data analytics workflows visually.
Here, youll find a collection of **example workflows** that highlight Texeras capabilities from data ingestion and transformation to visualization and machine learning.
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## 🧩 Example Workflows
Each example demonstrates how Texera operators can be combined to solve different types of data problems.
- **Text Analytics Workflow**
Analyze text data using tokenization, keyword extraction, and word cloud visualization.
See the [Text Analytics Example](/docs/examples/text-analytics/)
- **Join and Filter Workflow**
Combine multiple datasets using joins and filters to create complex data pipelines.
See the [Join Operator Example](/docs/examples/join-and-filter/)
- **Machine Learning Workflow**
Build end-to-end ML workflows with data preprocessing, model training, and evaluation operators.
See the [Machine Learning Example](/docs/examples/machine-learning/)
- **Visualization Workflow**
Explore Texeras interactive visual operators like scatter plots, histograms, and word clouds.
See the [Visualization Example](/docs/examples/visualization/)
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## 💡 How to Run the Examples
To try these examples on your local Texera instance:
1. Launch Texera following the [Getting Started](/docs/getting-started/) guide.
2. Open the **Workflow Editor** in your browser at `http://localhost:4200`.
3. Import an example workflow file (`.json`) from the [Texera Example Repository](https://github.com/Texera/texera/tree/master/examples).
4. Run the workflow to see Texeras operators and data visualizations in action.
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## 🧠 Want to Contribute an Example?
If youve built your own workflow and want to share it:
- Fork the [Texera repository](https://github.com/Texera/texera).
- Add your workflow under `examples/` with a short README.
- Submit a pull request following our [Contribution Guidelines](/docs/contribution-guidelines/).
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These examples are a great starting point for learning Texeras **visual programming model** and understanding how different operators interact to form powerful data pipelines.