A ♥ for data visualization + interaction
Published
Edited
Aug 31, 2020
3 stars
Vega-Lite Demo: Let's make a Scatterplot MatrixVega-Lite Tutorial Part 1 - Let's make a ScatterplotVega-Lite Tutorial Part 2 - The Essentials
Vega-Lite Tutorial Part 1 - Let's make a Scatterplot (Solution)
embed = require("vega-embed");
embed(plot)
// preview the data by uncommenting the next line:
// p = fetch("https://vega.github.io/vega-datasets/data/gapminder-health-income.csv").then(d => d.text())
specExercise1 = {
// your spec goes here:
yield {
"$schema": "https://vega.github.io/schema/vega-lite/v3.4.0.json",
"data": {
"url": "https://vega.github.io/vega-datasets/data/gapminder-health-income.csv"
},
"config": {"view": {"width": 400, "height": 300}},
"mark": "point",
"encoding": {
"x": {"type": "quantitative", "field": "income"},
"y": {"type": "quantitative", "field": "health"}
}
}
}
embed(specExercise1)
specExercise2 = {
// your spec goes here:
yield {
"$schema": "https://vega.github.io/schema/vega-lite/v3.4.0.json",
"data": {
"url": "https://vega.github.io/vega-datasets/data/gapminder-health-income.csv"
},
"config": {"view": {"width": 400, "height": 300}},
"mark": "point",
"encoding": {
"x": {"type": "quantitative", "field": "income", "scale": {"type": "log"}},
"y": {"type": "quantitative", "field": "health"}
}
}
}
embed(specExercise2)
specExercise3 = {
// your spec goes here:
yield {
"$schema": "https://vega.github.io/schema/vega-lite/v3.4.0.json",
"data": {
"url": "https://vega.github.io/vega-datasets/data/gapminder-health-income.csv"
},
"config": {"view": {"width": 400, "height": 300}},
"mark": "point",
"encoding": {
"size": {"type": "quantitative", "field": "population"},
"x": {"type": "quantitative", "field": "income", "scale": {"type": "log"}},
"y": {"type": "quantitative", "field": "health"}
}
}
}
embed(specExercise3)
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.