style = html`<style>
html, body {
font-size: 1.0rem;
}
textarea:focus {
outline: none;
}
.section-header {
padding: 10px 0px 10px 14px;
border-left: 2px solid #60c252;
background-color: #dcffd7;
}
.red {
border-left: 2px solid #c25252;
background-color: #ffd7d7;
}
.blue {
border-left: 2px solid #528cc2;
background-color: #d7e1ff;
}
#chart {
display: flex;
justify-content: center;
align-items: center;
width: ${chartConfig.options.width + 64}px;
height: ${chartConfig.options.height + 64}px;
}
#chart svg {
background-color: #fff;
box-shadow: 0px 0px 8px #cdcdcd;
border-radius: 20px;
}
#chart svg text {
font-size: 1.0em;
}
#chart .axis text tspan {
font-size: 1.6em;
}
#download {
display: inline-block;
padding: 6px 10px 6px 10px;
box-shadow: 0px 0px 5px #cdcdcd;
border: none;
border-radius: 6px;
font-size: 1.0em;
cursor: pointer;
transition: 250ms;
}
#download:hover {
transition: 250ms;
transform: scale(1.025);
}
</style>`
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.