Data Analytics, CSVW Web Worker & PSPP Statistical Suite
Comprehensive guide to the multithreaded CSVW static data engine, build-time KPI calculations, GNU PSPP statistical analysis suite, full-width responsive maps, and IBM-styled cartography.
The Hugo-Carbon Data & Analytics Suite provides an enterprise-grade, client-side data exploration, statistical analysis, and operational dashboard environment. It computes initial KPI aggregates at build time for zero layout shift and instantaneous load times, while utilizing a background Web Worker for interactive filtering, sorting, and GNU PSPP statistics.
[!NOTE]
Static Architecture Notice: All analytics, metrics, charts, and maps operate on static, versioned dataset files (.csv, .csv-metadata.json, .geojson). Computations occur purely at build time and within client-side Web Workers without backend servers or live streaming endpoints. Source datasets can be downloaded directly from the toolbar links.
The data engine conforms to the W3C CSV on the Web (CSVW) recommendation. Tabular datasets (.csv) are coupled with JSON-LD schema metadata files (.csv-metadata.json) defining column types, titles, units, and constraints.
Automatic Metadata Resolution
When providing csv: "/data/server-telemetry.csv", the engine automatically discovers and binds /data/server-telemetry.csv-metadata.json without requiring duplicate parameter configuration.
Direct Source Dataset Downloads
Rather than generating synthetic client-side exports, the table toolbar provides direct download links for:
Download CSV: Direct link to the source .csv file.
CSVW Meta: Direct link to the W3C CSVW .csv-metadata.json JSON-LD schema.
GeoJSON: Direct link to the source .geojson vector file on maps and modal viewers.
2. YAML-Driven Analytics Suite Shortcode
The analytics-suite shortcode calculates KPI aggregates at compile time and renders full-width maps and tables with clean YAML instructions:
This variation links spatial coordinates in Lisbon, Madrid, Paris, London, and Tokyo with an air quality sensor table. Clicking a map marker filters the data table, and clicking a row pans the map:
* GNU PSPP Command Syntax for Static Research Demographics Dataset.
DATA LIST FREE / participant_id age gender education_level cognitive_score reaction_time_ms stress_index treatment_group.
BEGIN DATA.
P-101 24 Female Master 88.5 312 4.2 Experimental
P-102 29 Male Bachelor 76.0 345 6.8 Control
P-103 35 Female PhD 94.2 289 3.1 Experimental
END DATA.
* Run descriptive statistics with standard error.
DESCRIPTIVES VARIABLES=age cognitive_score reaction_time_ms stress_index
/STATISTICS=MEAN STDDEV MIN MAX SEMEAN VARIANCE SKEWNESS KURTOSIS.
* Run frequency distributions and bar charts.
FREQUENCIES VARIABLES=gender education_level treatment_group
/BARCHART FREQ.
* Run crosstabulation with Pearson Chi-Square test of independence.
CROSSTABS
/TABLES=treatment_group BY education_level
/STATISTICS=CHISQ
/CELLS=COUNT ROW COLUMN TOTAL.
Interactive switches in the map toolbar allow users to dynamically toggle Roads, Buildings, and Labels with instantaneous WebGL layer updates, as well as switch between Auto, Dark Vector, and Light Vector styles.
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VECTOR TILES
Geographic Data Explorer
0 features
Rendering MapLibre GL Vector Tiles...
CODE
Source Viewer
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GNU PSPP Statistical Analysis Studio
PSPP v11
No dataset loaded. Use a shortcode or the "Analyse in PSPP" button on a CSVW table to open a dataset.
Variable metadata will appear here when a dataset is loaded.
Ctrl+Enter Run syntax ·
Esc Close modal ·
Commands: DESCRIPTIVES, FREQUENCIES, CROSSTABS, CORRELATIONS, T-TEST, EXAMINE, GRAPH
Output Navigator
📊
Run a syntax command to generate statistical output.
Switch to the Command Syntax tab and click Run Commands.
ReadyGNU PSPP Engine · IBM Carbon v11
Data & Statistical Analytics Dashboard
Multithreaded client-side dataset analytics, GNU PSPP statistical distributions, and geospatial tracking.