The end-to-end solution for building and hosting better data apps, dashboards, and reports.
viewof sport = Inputs.select(sports, {label: "Sport"})
Inputs.range([0, 100], {label: "Amount", step: 5})
viewof amount = Inputs.range([0, 100], {label: "Amount", step: 1})
viewof button = Inputs.button("Click me")
viewof toggle = Inputs.toggle({label: "Toggle", value: true})
viewof checkboxes = Inputs.checkbox(["A", "B"], {label: "Check boxes", value: ["A"]})
viewof radios = Inputs.radio(["A", "B"], {label: "Radio buttons", value: "A"})
viewof date = Inputs.date({label: "Date", value: "2022-12-22"})
viewof text = Inputs.text({label: "Text"})
viewof letter = Inputs.select(letters, {label: "Favorite letter", value: "O"})
viewof color = Inputs.color({label: "Bars color", value: "#4682b4"})
viewof highlight = Inputs.color({label: "Highlight color", value: "#ffa500"})
letterFrequency = Plot.plot({
marks: [
Plot.barY(alphabet, {x: "letter", y: "frequency",
fill: d => d.letter === letter ? highlight : color,
sort: {x: "y", reverse: true}}),
Plot.ruleY([0])
],
caption: "Frequency of letters in English texts",
ariaLabel: "Frequency of letters in English texts",
ariaDescription: `This bar chart shows the frequency of letters in English texts. We see that the top five most common letters are E, T, A, O and I.`
})
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.