The end-to-end solution for building and hosting better data apps, dashboards, and reports.
Discovering Date PatternsCorrelation over timeTargets vs. ActualsUser Retention with SegmentsIntroduction to dataSpreadsheet-based data collaboration gets supercharged with ObservableSummary TableConnecting to databasesData Loading and CleanupAdding Columns to DataAnalyzing DataModeling in ObservablePlot for Matplotlib Users: OverviewUpset Plots with Observable PlotDistributions and summary statistics - a collection of Plot examplesSankey With Animated GradientsHacking Power BI Charts with PlotNF Difference ChartGreenhouse gas emission projectionsConcentration values vs. TimePlot: regression
Observable for Excel Users: Introduction
amount * (1 + interest/100) ** years
formatMoney(amount * (1 + interest/100) ** years)
function compounding(yearsCompounded) {
return amount * (1 + interest/100) ** yearsCompounded;
}
formatMoney(compounding(years))
compoundedValues = {
let values = [amount]; // we start with the initial amount in the array
for (let year = 1; year <= years; year += 1) {
// for each year, we calculate the compounded value and append it to the array
values.push(compounding(year));
}
return values;
}
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.