CSV-Data-Viz-Analysis-Tool

CSV Data Viz Analysis Tool is a user-friendly application designed for visualizing structured data. This tool allows users to effortlessly create plots with accompanying summary explanations and easily embed them in a downloadable PowerPoint file. Powered by advanced language models, the application is tailored for seamless integration with Streamlit.

Features

• Structured Data Visualization: Effortlessly visualize structured data with a user-friendly interface.

• Plot Creation: Create a variety of plots, including line charts, bar graphs, scatter plots, histograms, and more.

• Summary Explanations: Generate automatic summary explanations for the created plots.

• PowerPoint Integration: Download all plots along with their summary explanations in a PowerPoint presentation.

• Streamlit Integration: Seamlessly integrated with Streamlit for an interactive and intuitive user interface.

• Advanced Language Models: Powered by advanced language models for intelligent data analysis and visualization.

Installation

Clone the repository:

git clone https://github.com/your-username/CSV-DataViz-Tool.git
cd CSV-DataViz-Tool

Required libraries:

pip install -r requirements.txt

Libraries Used

Libraries
Openai
Streamlit
python-dotenv
pandas
matplotlib
re
ast
os
base64
pptx
io

Configuration

• Create a .env file in the project root.
• Add your OpenAI API key to the .env file:

OPENAI_API_KEY=your_openai_api_key_here

Usage

• Run the Streamlit app: streamlit run app.py

• Upload your CSV file using the provided interface.

• Enter your OpenAI API key in the UI or ensure it's loaded from the .env file.

• Explore the data, describe desired graphs in natural language, and generate visualizations with just a few clicks.

Note

• Ensure that you have Git and Python installed on your machine before following the installation steps.

• For OpenAI API access, you need a valid API key. If you don't have one, sign up on the OpenAI platform and obtain your API key.