ExcelVisualizer

Description for the project

• Used technologies
• Features
• Getting started

Description

ExcelVisualizer is a Python-based tool for visualizing data from Excel files. It utilizes the power of pandas, openpyxl, streamlit, and plotly express to provide a user-friendly interface for exploring and analyzing Excel data.
With ExcelVisualizer, you can easily select specific sheets, skip rows, choose columns, and apply filters to create insightful visualizations.

Used technologies & Packages

• Python
• Pandas
• Openpyxl
• Streamlit
• Plotly Express

Features

• Select specific Excel sheets for visualization
• Skip rows during data processing
• Choose specific columns to include in the visualization
• Apply filters to the data for targeted analysis
• Visualize data using plotly express, providing a wide range of interactive chart options

Getting Started

Follow these instructions to get a copy of the ExcelVisualizer project up and running on your local machine.

Prerequisites

Make sure you have Python installed on your machine. You can download Python from the official Python website and follow the installation instructions.

Installation

1. Clone the repository:

   Start by cloning the ExcelVisualizer repository to your local machine. Open a terminal or command prompt and run the following command:

   git clone https://github.com/RMNorbert/ExcelVisualizer.git
   

   install the required packages with one of the following command:

   pip install -r requirements.txt
   

   bash

   pip install pandas openpyxl streamlit plotly
   

Run the Streamlit app:

bash

 streamlit run app.py

Access the application: Once the Streamlit app is running, you can access it in your web browser at http://localhost:8501.

License

This project is licensed under the MIT License - see the LICENSE file for details.