AUTOMATED CSV READER

This project can read CSV files, process them, and finally save the result.
It doesn't overwrite the original files; instead, it creates a copy with the new results.

Sources, that you can get CSV data from: Excel, Databases, Google Sheets, LibreOffice, Web/API's or Text files.

Main idea of the project

Input file --> Read --> Process --> Save

Project Structure

The CSV Reader contains four Python files:

• reader.py – reads CSV files
• main_logic.py – processes the data
• saver.py – saves the processed data
• main.py – connects all logic into one script

Library Used

This project uses Pandas, a fast, powerful, and open-source library for:

• data manipulation: Fix mistakes, remove duplicates, handle missing values
• data cleaning: Change, add, remove, or reshape data
• data analysis: Explore data to find patterns, insights, summaries

Pandas efficiently handles structured data using two primary data structures:

• Series – 1D data
• DataFrame – 2D tables

It allows users to import, manipulate, filter, and merge data easily.

Run the project

• Simply write in the terminal this command: python main.py

Tech Stack

• Language: Python
• Library: Pandas