3. Data, Science & AI

Visualizes sales territories, coverage areas, and service regions on interactive maps for business intelligence and geographic analysis.

Extracts text data from QR codes and barcodes in images using standard decoding algorithms.

Converts physical addresses to geographic coordinates and vice versa for location data enrichment and address validation.

Visualizes correlations between dataset variables for exploratory data analysis and feature selection.

Calculates statistical power, determines sample size, and plans experiments for hypothesis testing.

Extracts people, organizations, locations, and dates from text using NLP for document analysis and data enrichment.

Extracts keywords and key phrases from text using TF-IDF, RAKE, and frequency analysis, generating word clouds for data visualization.

Comprehensive audio analysis including waveform, spectrogram, BPM, key, frequency, and loudness metrics for technical evaluation.

Generates pivot tables with aggregations and filters from CSV/Excel data, automatically creating visual charts for data analysis.

Automates classifier training with model selection, hyperparameter tuning, and detailed evaluation metrics for efficient machine learning workflows.

Creates interactive geographic visualizations including markers, heatmaps, routes, and choropleth maps for data analysis and reporting.

Converts between common data formats including JSON, CSV, XML, YAML, and TOML while preserving data types and handling nested structures.

Executes financial calculations including loans, investments, NPV/IRR, and retirement planning with Monte Carlo simulations, producing visual reports and exportable data.

Converts geographic data between KML and GeoJSON formats for mapping applications and geospatial analysis.

Conducts automated data quality checks for missing values, duplicates, type consistency, and inconsistencies in ETL pipelines and datasets.

Performs statistical hypothesis testing, regression, ANOVA, and t-tests with plain-English interpretations and visualizations for data analysis.

Detects statistical and machine learning-based outliers in datasets for data cleaning, fraud detection, and quality control.

Compares images using SSIM for similarity scoring, highlights pixel differences, and provides side-by-side visualization.

Detects language of text with confidence scores, supporting 50+ languages and batch processing capabilities.

Creates interactive Sankey flow visualizations from CSV, DataFrame, or dict data with styling and HTML/PNG/SVG export capabilities.

Compares two datasets to identify differences, added/removed rows, and changed values for data validation and ETL verification.

Transforms CSV/Excel data into narrative reports with auto-generated insights, visualizations, and PDF export, including pattern detection and plain-English summaries.

Provides technical analysis for crypto and stocks using 29+ indicators to generate multi-tier trading signals with divergence and volume confirmation.

Calculates statistical significance for A/B tests, including sample size estimation, power analysis, and confidence intervals for conversion rates.