Data intelligence hunter and gatherer (biostat, machine learning, visualization) using R, Python and others.
Aikidoka
Public
Edited
Feb 12, 2024
{
const brush = vl.selectInterval()
.encodings('x'); // limit selection to x-axis (year) values
// dynamic query histogram
const years = vl.markBar({width: 4})
.data(movies)
.params(brush)
.encode(
vl.x().year('Release_Date').title('Films by Release Year'),
vl.y().count().title(null)
)
.width(600)
.height(50);
// ratings scatter plot
const ratings = vl.markCircle()
.data(movies)
.encode(
vl.x().fieldQ('Rotten_Tomatoes_Rating').axis({title: "Rotten Tomatoes rating"}),
vl.y().fieldQ('IMDB_Rating').axis({title: "IMDB rating"}),
vl.tooltip().fieldN('Title'),
vl.opacity().if(brush, vl.value(0.75)).value(0.05)
)
.width(600)
.height(400);
return vl.vconcat(years, ratings).spacing(5).render();
}
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.
