https://github.com/istinnew/cpp-data-evaluation-tool

A C++ program that reads a CSV file, performs basic statistical analysis (mean, median, mode), and outputs the results. This tool demonstrates fundamental data evaluation techniques using C++.
https://github.com/istinnew/cpp-data-evaluation-tool

Last synced: 11 days ago
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A C++ program that reads a CSV file, performs basic statistical analysis (mean, median, mode), and outputs the results. This tool demonstrates fundamental data evaluation techniques using C++.

• Host: GitHub
• URL: https://github.com/istinnew/cpp-data-evaluation-tool
• Owner: IstinNew
• License: mit
• Created: 2024-10-21T20:11:57.000Z (2 months ago)
• Default Branch: main
• Last Pushed: 2024-10-21T20:50:20.000Z (2 months ago)
• Last Synced: 2024-10-22T14:26:44.369Z (2 months ago)
• Language: C++
• Size: 9.77 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# C++ Data Evaluation Tool

## Basic Data Evaluation Tool in C++

This repository contains a simple C++ program that reads a CSV file, performs basic statistical analysis (mean, median, mode), and outputs the results. This tool demonstrates fundamental data evaluation techniques using C++.

## Summary

This project is a comprehensive data evaluation tool developed in C++. It allows users to input data, perform various evaluations, and generate detailed reports. The tool is designed for high performance and accuracy, making it suitable for processing large datasets.

## Languages and Libraries Used

- C++

- Google Colab (for additional scripting and analysis)

## Key Learnings

This project enhanced my skills in C++ programming, including file handling, data structures, and algorithm implementation. Additionally, integrating Google Colab for supplementary analysis provided insights into using multiple platforms for data processing.

## Challenges Overcame

Challenges included optimizing the tool for performance and ensuring accurate data processing. Overcoming these challenges required a deep understanding of C++ and effective use of debugging tools.

## Additional Reflections

This project was a significant learning experience in developing efficient data processing tools. It provided valuable insights into the importance of performance optimization and accuracy in data evaluation.