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https://github.com/yash-kavaiya/ai-analytics
This is a Streamlit app that uses Pandas and AI to perform data analytics on uploaded CSV files.
https://github.com/yash-kavaiya/ai-analytics
data-analysis generative-ai pandas streamlit
Last synced: 10 days ago
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This is a Streamlit app that uses Pandas and AI to perform data analytics on uploaded CSV files.
- Host: GitHub
- URL: https://github.com/yash-kavaiya/ai-analytics
- Owner: Yash-Kavaiya
- Created: 2023-10-17T12:32:20.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2023-11-12T14:02:26.000Z (about 1 year ago)
- Last Synced: 2024-11-06T04:14:42.748Z (10 days ago)
- Topics: data-analysis, generative-ai, pandas, streamlit
- Language: Jupyter Notebook
- Homepage: https://pandas-ai-website.streamlit.app/
- Size: 1.09 MB
- Stars: 1
- Watchers: 1
- Forks: 4
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# **AI Analytics App with Streamlit and PandasAI**
Youtube Video :- https://youtube.com/live/dtB78cuY08U
Streamlit website :- https://pandas-ai-website.streamlit.app/
This is a Streamlit app that uses Pandas and AI to perform data analytics on uploaded CSV files.
## Features
* Upload and analyze CSV files
* Perform a variety of statistical analyses, including mean, mode, median, standard deviation, and variance
* Generate interactive charts and visualizations
* Use AI to extract insights from your data
## Usage
1. Upload a CSV file by clicking the "Choose a CSV file" button.
2. Write analytics prompt .
3. Click the "Analyze" button to generate results.
4. The results will be displayed in a table and in a variety of charts and visualizations.
5. You can also use the AI tab to generate insights from your data.
## Getting Started
To run this app, you will need to have the following Python packages installed:
* Streamlit
* PandasAI
```
!pip install pandasai
!pip install google.generativeai
```
Once you have the required packages installed, clone this repository to your local machine and run the following command:
```
streamlit run app.py
```
The app will open in your web browser at http://localhost:8501.
## Dependencies
* Streamlit
* Pandas
* AI library of your choice (e.g., NumPy, scikit-learn, TensorFlow, PyTorch)
## License
This project is licensed under the MIT License.
```
What is mean in glucose and standard deviation
```
The AI will generate a response such as:
121.365