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Shan Carter
Design at Observable
Workspace
Fork
Published
By
Shan Carter
Edited
May 18, 2022
1 star
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import
{
vl
}
from
'@vega/vega-lite-api-v5'
Insert cell
df2
=
data
[
'movies.json'
]
(
)
// get hold of movies dataset
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data
=
require
(
'vega-datasets@1'
)
// import vega_datasets
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df2
[
0
]
[
'IMDB_Rating'
]
Insert cell
plot
=
vl
.
markBar
(
)
.
data
(
df2
)
.
encode
(
vl
.
x
(
)
.
fieldQ
(
'IMDB_Rating'
)
.
bin
(
true
)
,
vl
.
y
(
)
.
count
(
)
)
Insert cell
plot
.
render
(
)
Insert cell
vl
.
markBar
(
)
.
data
(
df2
)
.
encode
(
vl
.
x
(
)
.
fieldQ
(
'IMDB_Rating'
)
.
bin
(
false
)
,
vl
.
y
(
)
.
count
(
)
)
.
render
(
)
Insert cell
{
const
plot
=
vl
.
markCircle
(
)
.
encode
(
{
x
:
{
field
:
'precip'
,
type
:
'quantitative'
,
aggregate
:
'average'
}
,
y
:
{
field
:
'city'
,
type
:
'nominal'
}
}
)
;
return
html
`<pre>${
JSON
.
stringify
(
plot
.
toObject
(
)
,
0
,
2
)
}</pre>`
;
// format JSON data
}
Insert cell
vl
.
markBar
(
)
.
data
(
df2
)
.
render
(
)
Insert cell
Insert cell
// html`<pre>${JSON.stringify(plot.toObject(), 0, 2)}</pre>`;
Insert cell
Insert cell
vl
.
vegalite
.
compile
(
plot
.
toObject
(
)
)
.
spec
Insert cell
Insert cell
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.
Try it for free
Learn more
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