The CSV Reader is the entry point for tabular data stored inDocumentation Index
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.csv format. It produces a DataFrame that all downstream components can consume.
Configuration
| Option | Description | Default |
|---|---|---|
| Source | Upload to load a local file, URL to fetch from a web address | Upload |
| File | The CSV file to upload | — |
| URL | A direct link to a publicly accessible CSV file | — |
| Delimiter | Column separator character (, ; \t etc.) | , |
| Header | Whether the first row contains column names | Yes |
| Encoding | File encoding | utf-8 |
Input / Output
| Type | |
|---|---|
| Input | None |
| Output | DataFrame |
Notes
- The file is stored securely in your project’s storage. You do not need to re-upload it on subsequent runs.
- If your columns are not named correctly after loading, check the Delimiter and Header settings.
- For large files, prefer URL-based loading to avoid upload timeouts.