population_engineers_hurricanes

U.S. population, engineering employment and hurricane landfalls

Per-state population (2016 ACS 1-Year), ratio of engineers to total civilian employed population (2016 ACS 1-Year), and total hurricane landfalls (possibly 1851-2015). Used in Vega-Lite example, Three Choropleths Representing Disjoint Data from the Same Table

CSV 52 rows 5 fields 1.9 KB 2 gallery examples 2 examples

Fields

FieldTypeDistributionSummaryMissing
stateAdd string 52 distinct Alabama 1 · Alaska 1 · Arizona 1 Missing 0
idAdd integer 1 – 72 · mean 29.79 Missing 0
populationAdd integer 585,500 – 39,250,000 · mean 6,280,000 Missing 0
engineersAdd number 0.001 – 0.012 · mean 0.004 Missing 0
hurricanesAdd integer 0 – 110 · mean 8.08 Missing 0

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Pick two fields. Scroll to zoom, drag to pan. Both fields have values in 52 of 52 rows.Pick two fields. Both fields have values in 52 of 52 rows. Vega-Lite · input binding · scale bindingVega-Lite · input binding
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Preview

First 5 of 52 rows5 of 52 rows
stateidpopulationengineershurricanes
Alabama148633000.00342154522
Alaska27418940.0015905240
Arizona469310710.0047741540
Arkansas529882480.0024395570
California6392500170.0071258570

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Examples

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

Provenance

Source
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File
data/population_engineers_hurricanes.csv · 1,852 bytes · View on GitHub