Data Visualizer
Upload a CSV file, paste data manually, or create a dataset from scratch. Generate bar, line, scatter, pie, area, doughnut, radar, polar, histogram, box, heatmap, and bubble charts. Download as PNG, JPEG, or SVG.
Arctic Tools is an open-source collection of interactive utilities for data visualization, scientific calculation, unit conversion, dictionary lookup, and more. Everything runs locally in your browser.
Built with HTML, CSS, and JavaScript. No frameworks, no dependencies, no tracking.
Hover over a tool to preview, click to open
Upload a CSV file, paste data manually, or create a dataset from scratch. Generate bar, line, scatter, pie, area, doughnut, radar, polar, histogram, box, heatmap, and bubble charts. Download as PNG, JPEG, or SVG.
Full scientific calculator with trigonometry, logarithms, exponents, factorials, degree/radian modes, and calculation history. Plus a comprehensive unit converter for length, weight, volume, temperature, area, speed, time, digital storage, energy, pressure, force, power, angle, and frequency.
Upload CSV data and compute descriptive statistics, correlation matrices, linear regression, distribution fitting with histograms, frequency tables, and percentile analysis. Powered by mathjs.
Upload CSV data and clean it: handle missing values (drop, mean/median/mode fill, forward fill, custom), remove duplicates, detect outliers (IQR and Z-score), fix data types, trim whitespace, and lowercase text. Download cleaned CSV.
Upload CSV data and instantly discover hidden patterns, outliers, correlations, and anomalies. Get plain-English insights automatically generated from your dataset.
Drag and drop columns to build interactive summary tables. Group by rows, aggregate values with sum, average, count, min, or max — like a mini Tableau in your browser.
Create custom synthetic datasets for testing. Choose column types (names, emails, numbers, dates, categories), set row count, and download as CSV. Perfect for testing your other tools.
Train a linear regression model right in your browser. Select target and feature columns, train with gradient descent, then use interactive sliders to make real-time predictions.
Launching September 17
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