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Published
Hands-on Tutorials
Edited
Sep 9, 2022
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5 stars
Hands-on Tutorials
Hands-on tutorialsLearn Just Enough JavaScript: IntroductionObservable Quick GuidesBuild your first scatterplot with Observable PlotGet started with the Chart cellBuild your first map with Observable PlotBuild your first choropleth map with Observable PlotPlot from ggplot2
Analyzing revenue by category for an online store
Which items are purchased together?Wrangling data in JavaScript with Arquero: a primer for R users
Observable for Excel Users
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db
Type Table, then Shift-Enter. Ctrl-space for more options.

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db
Type Table, then Shift-Enter. Ctrl-space for more options.

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db
SELECT t."user_id",t."ga_session_id",t."country",t."device",t."type",t."item_id",t."date" FROM "events" t
WHERE t.type = ${"purchase"}
LIMIT 100 OFFSET 0
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select *
from events
where type = 'purchase'
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db
select *
from events
join items on events.item_id = items.id
where type = 'purchase'
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Plot.plot({
marks: [
Plot.dot(purchases, {x: "date", y: "price_in_usd"})
]
})
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Plot.plot({
marks: [
Plot.barX(
purchases,
Plot.groupY(
{ x: "sum" },
{
x: "price_in_usd", // the price will be summed for each group
y: "name", // grouping by item "name"
sort: { y: "x", reverse: true, limit: 20 }
}
)
),
Plot.ruleX([0])
],
marginLeft: 200 // customized margin to make room for long item names
})
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db
select name,
sum(price_in_usd)::int as revenue
from events
join items on events.item_id = items.id
where type = 'purchase'
group by name
order by revenue desc
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categoryChart = Plot.plot({
marks: [
Plot.barX(
purchases,
Plot.groupY(
{ x: "sum" },
{
x: "price_in_usd",
y: "category",
fill: "category", // color by the category
sort: { y: "x", reverse: true, limit: 20 }
}
)
),
Plot.text(
purchases,
Plot.groupY(
{ x: "sum", text: "sum" },
{
x: "price_in_usd",
y: "category",
text: "price_in_usd",
textAnchor: "start",
dx: 5
}
)
),
Plot.ruleX([0])
],
marginLeft: 200,
marginRight: 100
})
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Plot.plot({
marks: [
Plot.barX(
purchases,
Plot.groupY(
{ x: "sum" },
{
x: "price_in_usd",
y: "name",
fill: "category",
sort: { y: "x", reverse: true, limit: 20 }
}
)
),
Plot.text(
purchases,
Plot.groupY(
{ x: "sum", text: "sum" },
{
x: "price_in_usd",
y: "name",
text: "price_in_usd",
textAnchor: "start",
dx: 5
}
)
),
Plot.ruleX([0])
],
color: { legend: true, columns: "100px" },
marginLeft: 200,
marginRight: 100
})
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db
select category,
sum(price_in_usd)::int as revenue
from events
join items on events.item_id = items.id
where type = 'purchase'
group by category
order by revenue desc
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select // when the dropdown changes, the value of the "select" variable will update
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viewof select = Inputs.select(categories.map(d => d.category), {label: "Select a category"})
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Plot.plot({
marks: [
Plot.barX(
purchases,
Plot.groupY(
{ x: "sum" },
{
filter: (d) => d.category == select,
x: "price_in_usd",
y: "name",
fill: "category",
sort: { y: "x", reverse: true, limit: 20 }
}
)
),
Plot.text(
purchases,
Plot.groupY(
{ x: "sum", text: "sum" },
{
filter: (d) => d.category == select,
x: "price_in_usd",
y: "name",
text: "price_in_usd",
textAnchor: "start",
dx: 5
}
)
),
Plot.ruleX([0])
],
color: { ...categoryChart.scale("color"), legend: true, columns: "100px" },
marginLeft: 200,
marginRight: 100
})
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