After 15 year in high performance computing and computational biology, I joined OCTO Technology, a blasting consulting firm in Lausanne (www.octo.ch).
loadTimetable = (url) => {
let x = 42
return d3.tsv(url)
.then ((tsOrig) => {
// Change column names ("." inherited from the R world) and turn some text fields into numbers.
let columns = _.keys(tsOrig[0]);
let colNewNames = {}
_.each(columns, (c)=>{
if(c.indexOf('.') >0){
colNewNames[c] = c.replace(/\./g, '_');
}
});
// transform the row element names accordingly to the mapping defained above
// transform numerical fields
let ts = _.map(tsOrig,
(rOrig) => {
let r = _.clone(rOrig)
_.each(colNewNames,
(newName, oldName) => {
r[newName]=r[oldName]
delete r[oldName]
})
r.trip_distance = +r.trip_distance
r.h_departure_time = +r.h_departure_time
r.next_trip_distance = +r.next_trip_distance
r.next_h_arrival_time = +r.next_h_arrival_time
r.q80_next_delta_arrival_min = +r.q80_next_delta_arrival_min
return r
})
return ts
})
}
dimensions = {
return {
overall: {
height: 400,
width: 800
},
margins:{
left: 100,
right: 10,
top: 10,
bottom: 30
}
}
}
newSVG = () => {
return d3.select(DOM.svg(dimensions.overall.width, dimensions.overall.height));
}
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.