The CSV Data Analysis Tool is a Bash script that allows you to analyze CSV files. This tool provides various options to perform different types of analysis on CSV data. You can choose from a menu of options to perform tasks such as displaying basic information, extracting unique values, calculating statistics, and more.
- Bash shell
- A CSV file to analyze
- Clone the repository
git clone https://github.com/yourusername/csv-data-analysis.git
- Change directory to CSV-Data-Analyzer
cd CSV-Data-Analyzer - Make the script executable
chmod u+x CSVDataAnalysis.sh
- Run the script
./CSVDataAnalysis.sh
Welcome to the CSV Data Analysis Tool! This versatile script offers a menu of powerful data analysis options to help you extract valuable insights from your CSV files. Simply choose the option that aligns with your analysis needs by entering the corresponding number:
- Option 1: Discover the dimensions of your data - find out how many rows and columns your CSV file contains.
- Option 2: Unearth unique values within a specific column and gain quick insights into your data's diversity.
- Option 3: Get a glimpse of your data's structure by displaying the column names (header) in your CSV file.
- Option 4: Dive into numeric columns and uncover valuable statistics, including minimum and maximum values.
- Option 5: Explore categorical columns to identify the most frequent values, aiding your categorical data analysis.
- Option 6: Get a comprehensive statistical overview of your numeric columns, including mean, median, and standard deviation.
- Option 7: Craft custom filters to extract specific rows and columns based on user-defined conditions.
- Option 8: Effortlessly sort your CSV file by a chosen column, facilitating data organization and exploration.
Each option empowers you to delve deeper into your data, enabling you to make informed decisions and gain valuable insights.
Getting started with the CSV Data Analysis Tool is straightforward. Follow these simple steps to harness its power:
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Input and Configuration: After selecting your desired analysis task from the menu, you will be prompted to provide any necessary input or conditions. This step ensures that the tool tailors its analysis to your specific requirements.
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Instant Insights: Sit back and watch as the tool swiftly processes your data. The results will be displayed on your screen, offering you instant insights into your CSV file.
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Save Your Findings: If you wish to retain the results for future reference or sharing, you have the option to save the output to a file. The tool will prompt you for a filename of your choice.
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Data Safety: Worried about data integrity? Don't be! Your data is precious, and the tool takes data safety seriously. It automatically creates a backup of your output file in the "Backup" directory, ensuring your findings are always secure and accessible.
Empower yourself with the ability to analyze and explore your data effortlessly, all while keeping your findings safe and sound.
Get ready to embark on a data-driven journey with the CSV Data Analysis Tool!
We welcome contributions from the community to make the CSV Data Analysis Tool even more powerful and versatile. If you'd like to contribute to this project, here's how you can get involved:
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Open an Issue: If you encounter any bugs, have suggestions for improvements, or want to discuss new features, please open an issue. We value your feedback and will actively engage in discussions.
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Submit a Pull Request: If you have code changes or enhancements to propose, feel free to submit a pull request. We appreciate your contributions, and together we can make this tool even better.
Your contributions are invaluable, and they help us create a tool that benefits a wider audience.
The CSV Data Analysis Tool was developed with a passion for simplifying data analysis tasks for CSV files. I'd like to extend my gratitude to the open-source community for its inspiration and support and ofcourse the one and only ChatGPT for helping me with the documentation.
Thank you for being part of this journey, and I hope this tool proves to be a valuable asset in your data analysis endeavors.