02viz - Geospatial Visualization Studio
Geospatial data visualization studio: multi-engine, interactive, publication-quality charts from QGIS layers and external data.
02viz (Zero2Visual) turns QGIS into a full data visualization studio — from zero to elegant visuals, fast. One dock, three tabs: Charts, Map diagrams and Labels. The Charts tab renders seventeen chart types (bar, line, area, scatter, bubble, histogram, pie, box, heatmap, treemap, sunburst, mean ± σ band, mean ± σ bars, density KDE, violin, radar and Pareto) through three vendored offline engines (Apache ECharts, Plotly.js and Vega-Lite), plus an optional matplotlib/seaborn engine for publication-grade static figures you can add to the QGIS Python yourself. Animate any bar, line, area, scatter, bubble or pie chart over a time or sequence field — a bar-chart race, Gapminder-style bubbles, composition or trends over the years — with a play axis, slider and play/pause, axes and colours held steady across frames (ECharts and Plotly). One click on Explore profiles any layer into a full interactive dashboard — KPI cards with completeness, a field-summary table (type, missing rate, distinct, range/top), auto charts, a normalised box plot putting every numeric field on one comparable axis, a correlation matrix and plain-English insights (skew, outliers, near-constant and mostly-empty fields), skipping identifier columns. The Map diagrams tab draws native QGIS pie/bar/stacked/text diagrams on every feature, with optional Min–max, Z-score or Log normalisation so fields on very different scales stay comparable instead of one big-number field swamping the rest. The Labels tab turns fields into formatted, multi-line labels — rounding, thousands separators, prefix/suffix and units, case, word-wrap, a second field on its own line, or any QGIS expression — with a live preview. A built-in offline user guide explains every part (with copy-ready expression recipes and AI-assistant prompts), and a Suggest button reads your layer's fields to recommend the most insightful chart. Charts and the map stay linked both ways (click to select, select to cross-filter). Eight colour palettes plus an embedded swatch editor for your own colours, applied identically across every engine. Built-in aggregation, group/color-by, Top-N, trend lines, reference and statistics overlays (mean, median, a target value, a ±1σ band and the inter-quartile band) and pure-Python statistics; chart vector layers, attribute tables or external CSV/XLSX files; export charts as self-contained HTML, SVG, PNG and PDF files. Custom Vega-Lite specs, dashboard tile selection and extended cross-filtering are included. Developed with feedback from educational workflows at Dokuz Eylul University, Department of City and Regional Planning.