Data analysis using Python in Quadratic consists of the following main steps:
Operational Processes:
- Select the target cell in the spreadsheet interface
- Click on the 'Edit Code' button and select Python as the programming language
- Write Python scripts in the open code editor (supports importing standard libraries and common data analysis packages)
- Click on the 'Run' button to execute the code
- The result of the execution will be automatically displayed in the cell or the relevant area
Tips for use:
- Multiple lines of code can be written simultaneously to implement complex logic
- Supports quoting data from other cells as input
- Ability to output processing results to a specified cell area
- You can save frequently used code snippets for reuse
Best Practice Recommendations:For complex data processing tasks, it is recommended to debug the core logic in Python Integrated Development Environment (IDE) before porting it to Quadratic; at the same time, it is reasonable to utilize the cell referencing function to achieve dynamic data updating.
This answer comes from the articleQuadratic: an online data analysis form that integrates AI dialog and code executionThe
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