CSV to Excel Automation

• Data Analysts: Those who need to analyze CSV data from URLs and convert it to Excel for better insights.
• Business Professionals: Individuals who regularly handle data and require easy access to formatted spreadsheets for reporting.
• Developers: Tech-savvy users looking to automate data processing workflows involving CSV and Excel formats.
• Researchers: Academics who need to collect and convert datasets for analysis and presentations.

This workflow automates the process of downloading CSV data from a specified URL, importing it into a structured format, and converting it into an Excel (.xlsx) file. This eliminates the need for manual data handling, saving time and reducing the risk of errors during data conversion.

1. Manual Trigger: The workflow starts when the user clicks the "Execute Workflow" button.
2. Download CSV: The workflow sends an HTTP request to download CSV data from a specified URL (e.g., https://opendata.potsdam.de/api/v2/catalog/datasets/veranstaltungsplaetze-potsdam/exports/csv).
3. Import CSV: The downloaded CSV data is imported using the Import CSV node, which processes the data with specified options like delimiter and header row inclusion.
4. Convert to Excel: The imported CSV data is then converted into an Excel file (.xlsx) with a defined file name and sheet name.
5. Completion: The workflow completes, providing users with an Excel file ready for further analysis or reporting.