The CSV Error Analyzer is a Python script that automates the process of analyzing error occurrences in CSV data. This tool was developed to simplify and streamline error analysis tasks at Infozillion Teletech BD Ltd.
In the daily workflow of professionals at Infozillion Teletech BD Ltd, dealing with CSV data is common. These CSV files often contain error codes, and analyzing these error occurrences manually can be time-consuming and error-prone.
The CSV Error Analyzer automates this process, allowing you to:
- Quickly identify and categorize error occurrences.
- Generate comprehensive error reports for further analysis.
- Improve productivity by eliminating repetitive, manual tasks.
By using this tool, you can enhance your error analysis capabilities and make more informed decisions based on the data.
To use the CSV Error Analyzer, you'll need Python 3.x and the pandas library installed. Follow these steps:
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Requirements:
- Python 3.x
- pandas library
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Running the Script:
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Clone or download this repository to your local machine.
git clone https://github.com/iftekharmickey/CSV-Error-Analyzer.git
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Open your terminal or command prompt and navigate to the repository directory.
cd CSV-Error-Analyzer
python csv_error_analyzer.py
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Follow the on-screen prompts to provide the input CSV file name and the desired output CSV file name.
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This project is licensed under the MIT License. See the LICENSE file for details.
This tool was developed by Iftekhar Tahir as an automation project for Infozillion Teletech BD Ltd.
If you have any questions or feedback, feel free to contact me at iftekhar.tahir@proton.me.
Disclaimer: This tool is for educational and informational purposes only. Use it responsibly and only on systems for which you have explicit permission.