The unified analytics workspace. Transform, analyze, and visualize your datasets with precision tools.
Voice-powered data analysis using Gemini Live API.
Predictive analytics for time-series data using native algorithms.
Interactive visual data exploration and chart generation.
Automatic statistical profile with skewness and variance analysis.
Comprehensive audit of missing values, cardinality, and data types.
Discover relationships between variables with a Pearson heatmap.
Detailed numeric distribution analysis and variance metrics.
Linear modeling to identify predictive power between variables.
Unsupervised segmentation of data points using K-Means algorithm.
Create new features using multi-column mathematical expressions.
Extract features like Weekend, Weekday, Quarter from date columns.
Advanced anomaly detection with capping or removal logic.
Visual comparison between two versions of a dataset.
Strategic missing value filling based on category averages.
Rename and group categorical labels via dictionary logic.
Extract Word Count, Char Count, and Contact info from text.
Set logical integrity rules between columns (e.g. End > Start).
Normalize (0-1) or Standardize variables for consistent analysis.
Transform categorical strings into binary numeric features.
Group continuous numbers into discrete segment buckets.
Apply rolling window transformations to denoise time-series data.
Identify keyword density and term frequency in text columns.
Dynamic multidimensional data summarization and cross-tabulation.
Collapse datasets into summarized views based on grouping keys.
Rotate wide datasets into long formats for BI and database ingestion.
Combine datasets using exact matching alignment keys.
Approximate string matching to join datasets with naming discrepancies.
Automated deduplication and whitespace sanitization.
Intelligent similarity-based record deduplication with priority logic.
Probabilistic record merging using Levenshtein distance similarity.
Advanced pattern-based data recovery and text transformation.
Detect statistical anomalies and extreme variance using Z-scores.
Inject mathematical shocks or cumulative trends to variables.
Strategic data gap interpolation using linear heuristics.
Header standardization and snake_case normalization.
Statistical data expansion via Box-Muller transformations.
Securely bake transformations into a native Excel file.
Spatial text recovery from document layers for tabular extraction.
Normalize detected formats to ISO-8601 timestamps.
Build advanced logical query chains with multi-operator support.
Specialized cleaning for CSV quirks and formatting.
Find and extract unique rows in CSV files.
Count occurrences of values in selected CSV columns.
Automatically merge multiple CSVs, aligning columns and resolving header mismatches.
Instantly infer and visualize the schema of your CSV, including types and constraints.