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By
April Urban
Edited
Aug 20, 2024
Fork of
Input + Chart
1
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Plot
.
dot
(
selectedRows
,
{
x
:
"year"
,
y
:
"sale_amount"
,
stroke
:
"liv_area"
,
channels
:
{
Address
:
"Full Address"
}
,
tip
:
true
}
)
.
plot
(
)
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live_area
=
rangeSlider
(
prop
.
map
(
d
=>
d
.
liv_area
)
,
{
min
:
d3
.
min
(
prop
,
d
=>
d
.
liv_area
)
,
max
:
d3
.
max
(
prop
,
d
=>
d
.
liv_area
)
,
step
:
1
,
value
:
range
,
precision
:
0
,
description
:
"Total livable area (sqft)"
,
label
:
"Total livable area (sqft)"
}
)
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mutable
range
=
[
0
,
5000
]
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// function for formatting sale date
parseTime
=
d3
.
timeParse
(
'%B %d, %Y'
)
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import
{
aq
,
op
}
from
'@uwdata/arquero'
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import
{
rangeSlider
}
from
"@mootari/range-slider"
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// Button to download sample data- ideally button click would input sample data. Too much to figure out now.
//DOM.download(
// FileAttachment("Recent Transfers test 1.csv").blob(),
// FileAttachment("Recent Transfers test 1.csv").name,
// "Download Sample Data"
//)
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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
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