md`# Bio Data Analysis`
z = require('zebras')
d3 = require('d3')
bio_data = d3.csv('https://gist.githubusercontent.com/nofurtherinformation/b64e3eec73c22fc55f13fce898920c76/raw/a7c12420bdfe8aa4cdbe5923078dc6a309bb68b3/bio_data.csv')
z.valueCounts(z.getCol('SUBELEMENT', z.filter(c=>c.ELEMENT == 'INVERT', bio_data)))
z.valueCounts(z.getCol('SUBELEMENT', z.filter(c=>c.ELEMENT == 'FISH', bio_data)))
z.valueCounts(z.getCol('SUBELEMENT', z.filter(c=>c.ELEMENT == 'BIRD', bio_data)))
z.valueCounts(z.getCol('SUBELEMENT', z.filter(c=>c.ELEMENT == 'REPTILE', bio_data)))
bio_data_grouped = {
let grouping = [];
(Object.keys(z.groupBy(x => x.ELEMENT, bio_data))).forEach(function(ELEMENT){
let datum = z.gbSum("Shape_Area", z.groupBy(r=>r.SUBELEMENT, z.groupBy(x => x.ELEMENT, bio_data)[ELEMENT]))
for (let i=0; i<datum.length;++i){
let currRow = {}
currRow.ELEMENT = ELEMENT
currRow.SUBELEMENT = datum[i].group
currRow.AREA = datum[i].sum
currRow.AREA_2 = datum[i].sum * Math.random()
grouping.push(currRow)
}
})
let filtered = z.filter(x=>x.ELEMENT == "FISH" || x.ELEMENT == "BIRD" || x.ELEMENT == "REPTILE" || x.ELEMENT == "INVERT", grouping)
return filtered;
}
md`# Habitat Area`
Purpose-built for displays of data
Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
