# Orange Data Mining

Orange is a data-mining and machine learning software that allows users to analyze data, create visualizations, and build predictive models.

### Installation & Start <a href="#installation-start" id="installation-start"></a>

To install Orange, we can install it with pip in Linux.

```shellscript
pip install PyQt5 PyQtWebEngine
pip install orange3
```

### Basic Usage <a href="#basic-usage" id="basic-usage"></a>

#### 1. Start Orange Software <a href="#id-1-start-orange-software" id="id-1-start-orange-software"></a>

```shellscript
python -m Orange.canvas
```

#### 2. Open .OWS File <a href="#id-2-open-ows-file" id="id-2-open-ows-file"></a>

When the Orange starts, open the “.ows” file.

#### 3. Import Data File <a href="#id-3-import-data-file" id="id-3-import-data-file"></a>

Add the File widget in the left pane, and import data file such as “.csv”.

#### 4. Workflows <a href="#id-4-workflows" id="id-4-workflows"></a>

Connect the File widget with the Scatter Plot widget and open the Scatter Plot. We can see the data with plot.

### References <a href="#references" id="references"></a>

* [Orange](https://orange3.readthedocs.io/projects/orange-visual-programming/en/latest/index.html)