Ai-data-science-team

New Apps

- [Open Pandas AI Data Analyst App](https://github.com/business-science/ai-data-science-team/tree/master/apps/pandas-data-analyst-app): This application allows you to upload an Excel or CSV file and use the AI agent to perform analysis and create data visualizations to help you interpret the data and gain insights.



**Full Changelog**: https://github.com/business-science/ai-data-science-team/compare/0.0.0.9014...0.0.0.9015

New Multi-Agent

- `PandasDataAnalyst()`: Combines Pandas Data Wrangling and Plotly Data Visualization Agents for performing data analysis and data visualization in a single agent.
- `SQLDataAnalyst()`: Includes a preprocessor that helps plan the steps and get better performance from SQLDatabaseAgent and DataVisualizationAgent.

Improvements

- Agents are all now imported at top level of ai_data_science_team. Users can now do `from ai_data_science_team import SQLDatabaseAgent`
- Agents now support langgraph `checkpointer` for state memory
- Agents now have `name` attribute


**Full Changelog**: https://github.com/business-science/ai-data-science-team/compare/0.0.0.9013...0.0.0.9014

New App

- **Exploratory Data Analysis Copilot**: This application uses the `EDAToolsAgent()` to help the user create EDA Reports, Correlation Analysis, Missing Value Analysis, and general exploratory analysis. [See App Here](https://github.com/business-science/ai-data-science-team/tree/master/apps/exploratory-copilot-app)

Enhancements

- `EDAToolsAgent()`: New tool `explain_data` that returns a human-readable analysis of the data with statistical summary and various analysis that are common in exploratory data analysis.
- **Tool Calling Agents now return state graphs with `tool_calls` captured as a list.** This change helps the developer determine which tool was called last and how to handle the artifacts. This affects`EDAToolsAgent()`, `DataLoaderToolsAgent()`, and `MLflowToolsAgent()`.

Breaking Changes

- `EDAToolsAgent()`:
- The tool artifact dictionary keys have been updated. See Full Changelog below.
- Sweetviz reports are not opened automatically unless the user specifies to do so.
- Sweetviz reports are saved in a temporary directory.

**Full Changelog**: https://github.com/business-science/ai-data-science-team/compare/0.0.0.9012...0.0.0.9013

New Agent

- **EDA Tools Agent:** Performs automated exploratory data analysis (EDA) with EDA Reporting, Missing Data Analysis, Correlation Analysis, and more. [See Example](https://github.com/business-science/ai-data-science-team/blob/master/examples/ds_agents/eda_tools_agent.ipynb)

**Full Changelog**: https://github.com/business-science/ai-data-science-team/compare/0.0.0.9011...0.0.0.9012

New Agents

- **Data Loader Tools Agent:** Loads data from various sources including CSV, Excel, Parquet, and Pickle files. [See Example](https://github.com/business-science/ai-data-science-team/blob/master/examples/data_loader_tools_agent.ipynb)

**Full Changelog**: https://github.com/business-science/ai-data-science-team/compare/0.0.0.9010...0.0.0.9011

New Agents

- **MLflowToolsAgent**: This agent has 11+ tools for managing models, ML projects, and making production ML predictions with MLflow.
- **New Example:** MLflow Agent [See Example](https://github.com/business-science/ai-data-science-team/blob/master/examples/ml_agents/mlflow_tools_agent.ipynb)

New AI Apps

- **Created app/ directory:** Houses AI applications that demonstrate usage of the AI Data Science Team
- **SQL Database Agent App:** Connects any SQL Database, generates SQL queries from natural language, and returns data as a downloadable table. [See Application](https://github.com/business-science/ai-data-science-team/tree/master/apps/sql-database-agent-app)

Internal Changes

- Refactored utils, parsers, and tools to make it more clear the function roles
- Async updates


**Full Changelog**: https://github.com/business-science/ai-data-science-team/compare/0.0.0.9009...0.0.0.9010