Enables exploratory data analysis and machine learning on CSV datasets with tools for profiling, missing values, correlation, plotting, model training, and prediction.
Enables comprehensive analysis of CSV files and SQLite databases through tools for statistics, correlations, anomaly detection, pivot tables, time series analysis, visualization, and automated insights discovery.
Enables loading and statistical analysis of .xlsx and .csv files with visualization capabilities using matplotlib and plotly to generate various graphs and charts.
Enables AI clients to explore and analyze CSV datasets via tools for dataset overview, statistical summaries, missing value analysis, duplicate detection, correlation analysis, and outlier detection.
Enables analysis of datasets from CSV/Excel files, Google Sheets, and Google Drive with comprehensive data profiling tools including schema inference, missing value reports, correlation analysis, and outlier detection. Supports exporting analytical reports in multiple formats to local storage or Google Drive.