Convert to CSV component
This article describes a component in Azure Machine Learning designer.
Use this component to convert a dataset into a CSV format that can be downloaded, exported, or shared with R or Python script components.
More about the CSV format
The CSV format, which stands for "comma-separated values", is a file format used by many external machine learning tools. CSV is a common interchange format when working with open-source languages such as R or Python.
Even if you do most of your work in Azure Machine Learning, there are times when you might find it handy to convert your dataset to CSV to use in external tools. For example:
- Download the CSV file to open it with Excel, or import it into a relational database.
- Save the CSV file to cloud storage and connect to it from Power BI to create visualizations.
- Use the CSV format to prepare data for use in R and Python.
When you convert a dataset to CSV, the csv is saved in your Azure ML workspace. You can use an Azure storage utility to open and use the file directly. You can also access the CSV in the designer by selecting the Convert to CSV component, then select the histogram icon under the Outputs tab in the right panel to view the output. You can download the CSV from the Results folder to a local directory.
How to configure Convert to CSV
Add the Convert to CSV component to your pipeline. You can find this component in the Data Transformation group in the designer.
Connect it to any component that outputs a dataset.
Submit the pipeline.
Select the Outputs tab in the right panel of Convert to CSV, and select on one of these icons under the Port outputs.
Register dataset: Select the icon and save the CSV file back to the Azure ML workspace as a separate dataset. You can find the dataset as a component in the component tree under the My Datasets section.
View output: Select the eye icon, and follow the instruction to browse the Results_dataset folder, and download the data.csv file.
See the set of components available to Azure Machine Learning.