Introduction

The official documentation for DataAnalyzr – your go-to tool for seamless and comprehensive data analysis

DataAnalyzr is an innovative conversational analytics framework that provides access to LLM-integrated advanced data analysis through a conversational interface to derive actionable insights and intuitive visualizations.

With DataAnalyzr you can streamline the complexity of data analytics into a powerful, intuitive, and conversational interface that lets you command data with ease. Whether you’re an experienced data scientist or a business analyst, DataAnalyzr opens up a world of possibilities by transforming raw data into actionable insights and engaging visualizations.

DataAnalyzr supports both Pythonic and SQL-based analysis, allowing you to choose the best approach for your data analysis needs.

Pythonic Data Analysis

DataAnalyzr’s pythonic analysis provides users with a comprehensive toolkit for conducting machine learning-based analysis using Python’s extensive array of libraries such as NumPy, pandas, scikit-learn, and statsmodels. Users can tap into Python’s vast ecosystem of machine learning tools and techniques to derive actionable insights from their data and solve complex analytical problems.

For documentation on the pythonic analysis, please refer to the Pythonic Analysis Agent documentation.

Text to SQL Analysis

DataAnalyzr’s SQL analysis type enables users to seamlessly integrate SQL-based analysis into their workflow and harness the versatility and efficiency of SQL for extracting actionable insights from their data. With comprehensive support for SQL-based analysis, DataAnalyzr facilitates a seamless and intuitive user experience, enabling users to unleash the full potential of SQL for driving data-driven decision-making and achieving business objectives.

For documentation on the SQL-based analysis, please refer to the SQL Analysis Agent documentation.

DataAnalyzr comes in two distinct editions

Open Source Edition (OSE)	Enterprise Edition (EE)
Free to Use	Paid Subscription Required
Limited Features	Full Suite of Features
Handles limited data sources	Handles a wide range of data sources
Does preprocessing of data	Handles data preprocessing
Only Handles Simple Analysis	Handles Complex Analysis
Only Matplotlib Visualizations	Plotly, Matplotlib and Seaborn Visualizations
Only PNG as output format	PNG, SVG, PDF, HTML and JSON output format

Key Features

Versatile Analysis

Choose from SQL-based analysis, or pythonic analysis, or opt to skip analysis altogether and generate insights from the raw data, depending on your project requirements.

Powerful Integration

Seamlessly integrate DataAnalyzr into your existing workflows and applications, leveraging its APIs and versatile capabilities.

Insightful Outputs

Gain valuable insights, generate queries, and receive actionable recommendations, all powered by advanced language models and external services.

Flexible Configuration

Customize analysis parameters, logging settings, and more to suit your specific use cases and preferences.