Statistician, map-maker, dataviz consultant and trainer, Observable ambassador & R instructor. I enjoy explaining things i love in detail, the most clearly i can, and building live analytical opendataflows.
@ericmauviere
Published
Edited
Jul 5, 2021
14 stars
viewof tb1 = aq.from(data)
.derive({ Class_c:
d => op.recode(d.Class, {'First Class': '1', 'Second Class': '2', 'Third Class': '3', 'Crew' :'C' })})
// recode to sort in a more natural way
.groupby('Sex', 'Age', 'Class')
.derive({p_fate: d => d.value / op.sum(d.value)})
.derive({key3: d => d.Sex + ' / ' + d.Age + ' / ' + d.Class })
.orderby(aq.desc('Survived'))
.view()
// tell apart females and males
viewof tb2 = tb1.params({gutter1})
.groupby('Sex')
.rollup({value: op.sum('value')})
.orderby('Sex')
.derive({p_sex: (d,$) => (1-$.gutter1) * d.value / op.sum(d.value) })
.derive({x2: aq.rolling((d,$) => op.sum(d.p_sex) + (op.row_number() == 1 ? 0 : $.gutter1)) })
.derive({x1: (d,$) => op.lag(d.x2, 1, 0) + (op.row_number() == 1 ? 0 : $.gutter1) })
.select(aq.not(['value'])).relocate('x1',{before:'x2'})
.view()
viewof tb3 = {
let gutter2 = gutter1 * chart_width / chart_height
return tb1.params({gutter2})
.groupby('Sex', 'Age')
.rollup({value: op.sum('value')})
.orderby('Age')
.groupby('Sex')
.derive({p: (d,$) => (1 - $.gutter2) * d.value/op.sum(d.value)})
.derive({y2: aq.rolling((d,$) => op.sum(d.p) + (op.row_number() == 1 ? 0 : $.gutter2))})
.derive({y1: (d,$) => op.lag(d.y2, 1, 0) + (op.row_number() == 1 ? 0 : $.gutter2) })
.join(tb2, 'Sex')
.orderby('Sex', 'Age')
.select(aq.not(['value','p'])).relocate('y1',{before:'y2'}).relocate(['y1','y2'],{after:'x2'})
.view()
}
// introducing Class dimension
viewof tb4 = tb1.groupby('Sex', 'Age', 'Class_c', 'Class')
.rollup({value: op.sum('value')})
.groupby('Sex', 'Age')
.derive({p: d => d.value / op.sum(d.value)})
.orderby('Sex', 'Age', 'Class_c')
.derive({_x2: aq.rolling(d => op.sum(d.p))})
.derive({_x1: d => op.lag(d._x2, 1, 0) })
.select(aq.not(['p'])).relocate('_x1',{before:'_x2'})
.view()
viewof tb5 = tb3.join(tb4)
.derive({X1: d => d.x1 + d._x1*(d.x2 - d.x1)})
.derive({X2: d => d.x1 + d._x2*(d.x2 - d.x1)})
.view()
viewof tb6 = tb1.groupby('Sex', 'Age', 'Class_c')
.orderby('Sex', 'Age', 'Class_c')
.filter(d => d.Survived == 'Survived')
.rename({value:'survived'})
.select(aq.not(['key3', 'Survived']))
.join(tb5)
.derive({Y1: d => d.y1 })
.derive({Y2: d => d.y1 + d.p_fate*(d.y2 - d.y1)})
.view()
One platform to build and deploy the best data apps
Experiment and prototype by building visualizations in live JavaScript notebooks. Collaborate with your team and decide which concepts to build out.
Use Observable Framework to build data apps locally. Use data loaders to build in any language or library, including Python, SQL, and R.
Seamlessly deploy to Observable. Test before you ship, use automatic deploy-on-commit, and ensure your projects are always up-to-date.