Data Loaders
Extract CSV Rows
Data Loaders
Extract CSV Rows
Overview:
The Extract CSV Rows block is designed to efficiently read CSV files row-wise and convert the data into a manageable 2D string array. This functionality allows for seamless integration of CSV data into various workflows, supporting diverse applications in data processing.
Inputs & Outputs
| I/O | Feature | Type | Simple Explanation |
|---|---|---|---|
| input | csv_file_name | file | The CSV file to be read as text, providing the source of your row-wise data. |
| input | has_headers | checkbox | If checked, it skips the first line of the CSV file, treating them as headers and starting extraction from the second line. |
| output | csv_rows | string[][] | A 2D string array containing row-wise data extracted from the specified CSV file. |
Use Cases
Consider how this block can enhance efficiency in various situations:
- Data Analysis Automation: Imagine needing to extract information from multiple CSV files for analysis; this block automates that process, allowing for immediate insights without manual intervention.
- Workflow Efficiency: When integrating data extraction into larger automated workflows (e.g., transferring extracted data to other applications), this block serves as a crucial component.
- Time-Saving: In cases involving large datasets across numerous CSV files, utilizing this block significantly decreases manual handling time by automating extraction processes.
- Error Reduction: By eliminating manual transcription errors associated with copying data from CSVs manually, this tool enhances accuracy in your datasets.
In summary, whenever there’s a requirement for systematic processing of structured data contained within a CSV format, the Extract CSV Rows block provides an effective solution!
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