ardian.aliu
by ardian.aliu

Statistical Data to Excel Converter

Customize this app
42
Customize this app
42 
import logging
from gunicorn.app.base import BaseApplication
from app_init import create_initialized_flask_app

# Flask app creation should be done by create_initialized_flask_app to avoid circular dependency problems.
app = create_initialized_flask_app()

# Setup logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

class StandaloneApplication(BaseApplication):
    def __init__(self, app, options=None):
        self.application = app
        self.options = options or {}
        super().__init__()

    def load_config(self):
        # Apply configuration to Gunicorn
        for key, value in self.options.items():
            if key in self.cfg.settings and value is not None:
                self.cfg.set(key.lower(), value)

    def load(self):
Get full code

Statistical Data to Excel Converter

Created: | Last Updated:

Here's a step-by-step guide for using the Statistical Data to Excel Converter template:

Introduction

The Statistical Data to Excel Converter is a web-based application that allows users to input statistical data about worker performance and generate downloadable Excel files with the results. This template provides a simple interface for entering data manually or uploading a CSV file, and then converts that data into an Excel spreadsheet.

Getting Started

  1. Click "Start with this Template" to begin using the Statistical Data to Excel Converter in the Lazy Builder interface.

Test the Application

  1. Press the "Test" button in the Lazy Builder interface to deploy and run the application.

  2. Once the deployment is complete, Lazy will provide you with a dedicated server link to access the web application.

Using the Application

  1. Open the provided server link in your web browser to access the Statistical Data to Excel Converter interface.

  2. You'll see a form with two options for inputting data:

  3. A text area where you can manually enter worker data (Name, Percentage)

  4. A file upload option for CSV files

  5. To manually enter data:

  6. Type each worker's name and percentage in the text area, with each entry on a new line

  7. Use the format: Name, Percentage (e.g., "John Doe, 85")

  8. To upload a CSV file:

  9. Prepare a CSV file with two columns: Name and Percentage

  10. Click the "Choose File" button and select your CSV file

  11. After entering the data or selecting a file, click the "Generate Excel" button.

  12. The application will process your data and generate an Excel file.

  13. Your browser will automatically download the generated Excel file named "worker_data.xlsx".

  14. Open the downloaded Excel file to view the processed worker performance data.

Conclusion

You've now successfully used the Statistical Data to Excel Converter template to create a web application that converts worker performance data into downloadable Excel files. This tool can be useful for quickly processing and organizing statistical data for further analysis or reporting.

Technologies

Flask Flask