md`Here is some Markdown. Edit me! You can add...
# Headers of
### different sizes,
* bullet
* points
\`fixed width font\`
1. Ordered
2. Lists,
and more. For reference, here is a [guide to formatting using the Markdown syntax](https://observablehq.com/@jaynel/markdown-summary)`
html`<h4>Here is some HTML</h4>`
{
let message = "Here is some JavaScript"
return message
}
currentWeek = 1
"There are " + (10 - currentWeek) + " weeks left in the quarter"
// Instantiate a variable named exponent here
2**exponent
cars = (await require('vega-datasets@1'))['cars.json']()
printTable(cars.slice(0,10))
population = (await require('vega-datasets@1'))['population.json']()
// viewof shows the table view, but assigns the table value
viewof population_table = aq.from(population).view()
md `Jot your ideas here!`
cars_table = aq.from(cars)
cars_table
.filter(d => op.includes(op.upper(d.Origin), 'USA'))
.view()
cars_table
.filter(d => op.includes(op.upper(d.Origin), 'USA'))
.orderby("Miles_per_Gallon")
.view()
cars_table
.filter(d => op.includes(op.upper(d.Origin), 'USA'))
.orderby(aq.desc("Miles_per_Gallon"))
.view(5)
// Add your transformations here!
population_table
{
let popPivot = aq.fromCSV(await FileAttachment('population.csv').text())
return popPivot
.fold(aq.range(1,15), {as:['year', 'population']})
.view()
}
Purpose-built for displays of data
Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
