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Learning Observable
Edited
Oct 2, 2023
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Learning Observable
IntroductionNotebooks and cellsGetting data into ObservableData visualization with Chart cellObservable Plot
Cell modes, reactive Markdown, and HTML
Reactive dataflowUser inputs and interactivityJavaScript and ObservableImporting and remixing cells and notebooks
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viewof smoothing = Inputs.range([1, 21], {label: "Smoothing", step: 1})
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Plot.plot({
marks: [
Plot.ruleY([0]),
Plot.lineY(aapl, Plot.windowY({x: "Date", y: "Close", k: smoothing, reduce: "mean"}))
]
})
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A mortgage for a house purchased for **${formatMoney(amount)}** at an interest rate of **${interest}%** over **${duration} years** costs a total of **${formatMoney(amount * (1+interest/100) ** duration)}**
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<p>We can also use variables within HTML tags, however, for example to change <span style="color:${color}; font-weight:${weight};font-style:${italics}">this text to be styled differently and have different colors</span>. You can change it with the controls below!</p>
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## Backticks for cell modes
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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.
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