Pandas CSV Reader

Simplify your CSV data analysis with the Pandas CSV Reader, a Python-based project that offers a user-friendly interface for reading and displaying CSV files using the Pandas library and Tkinter for the graphical user interface.

Features

• Read and display CSV files.
• Support for custom indexing using a specified column.
• Display the total number of rows in the loaded dataset.
• User-friendly interface using Tkinter.

Usage

• Installation: Make sure you have Python and Tkinter extensions installed on your IDE. Clone this repository and navigate to the project directory.
• Dependencies: Install the required dependencies using the following command:

pip install tkinter
pip install pandas

• Run the Application: Execute the new_csv_reader.py script to start the Spending Registry application.