uniform_2d

Simulated points from a bivariate uniform distribution

Five hundred paired coordinates (u, v) sampled from a bivariate uniform distribution. Centered near the origin with ranges spanning approximately [-0.5, 0.5] in both dimensions. The variables exhibit negligible correlation (-0.019), suggesting independence, as expected for a uniform distribution. A contrast to normally distributed data in normal-2d.json.

JSON 500 rows 2 fields 34 KB 1 gallery example 1 example

Fields

FieldTypeDistributionSummaryMissing
u

mean: 0.015, std: 0.277, range: [-0.499, 0.500]

 number -0.499 – 0.5 · mean 0.015 Missing 0
v

mean: -0.013, std: 0.276, range: [-0.500, 0.498]

 number -0.5 – 0.498 · mean -0.013 Missing 0

Profiled across all 500 rows.

Explore

Pick two fields. Scroll to zoom, drag to pan. Both fields have values in 500 of 500 rows.Pick two fields. Both fields have values in 500 of 500 rows. Vega-Lite · input binding · scale bindingVega-Lite · input binding
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Preview

First 5 of 500 rows5 of 500 rows
uv
-0.219846695438460580.23587774348711693
0.006569739430068278-0.0902683222414089
-0.10265040798774261-0.47597690463684283
0.03320225303401708-0.25564546455266945
-0.156938160221476770.12356301485763538

Examples

Vega and Vega-Lite examples open in the Editor with this dataset loaded. Altair examples link to their Python source.

Provenance

Source
  • Generated Data
License
File
data/uniform-2d.json · 34,217 bytes · View on GitHub