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Data Visualisation Fundamentals
By
cube
Edited
Mar 21, 2023
Fork of
Lesson 4, Transformations
Insert cell
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Plot
.
plot
(
{
marks
:
[
Plot
.
barX
(
olympians
,
{
x
:
1
,
y
:
"nationality"
,
sort
:
{
y
:
"x"
,
reverse
:
true
,
limit
:
10
}
,
title
:
"name"
}
)
,
]
,
marginLeft
:
50
}
)
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Plot
.
plot
(
{
marks
:
[
Plot
.
barX
(
olympians
,
Plot
.
groupY
(
{
x
:
"count"
,
title
:
"count"
}
,
{
y
:
"nationality"
,
sort
:
{
y
:
"x"
,
reverse
:
true
,
limit
:
10
}
}
)
)
,
Plot
.
ruleX
(
[
0
]
)
]
,
marginLeft
:
50
}
)
Insert cell
Insert cell
Plot
.
plot
(
{
marks
:
[
Plot
.
barX
(
olympians
,
Plot
.
groupY
(
{
x
:
"mean"
}
,
{
y
:
"sport"
,
x
:
"height"
,
sort
:
{
y
:
"x"
,
reverse
:
true
,
limit
:
10
}
}
)
)
,
Plot
.
ruleX
(
[
0
]
)
]
,
marginLeft
:
100
}
)
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Insert cell
Plot
.
plot
(
{
marks
:
[
Plot
.
dot
(
olympians
,
{
x
:
"weight"
,
stroke
:
"steelblue"
,
opacity
:
.3
}
)
,
]
,
x
:
{
label
:
"weight (kg) →"
}
,
width
}
)
Insert cell
Insert cell
Plot
.
plot
(
{
marks
:
[
Plot
.
dot
(
olympians
,
Plot
.
dodgeY
(
{
x
:
"weight"
,
stroke
:
"steelblue"
,
r
:
1
}
)
)
,
]
,
x
:
{
label
:
"weight (kg) →"
}
,
width
,
height
:
1200
}
)
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Plot
.
plot
(
{
marks
:
[
Plot
.
rectY
(
olympians
,
Plot
.
binX
(
{
y
:
"count"
}
,
{
x
:
"weight"
}
)
)
,
Plot
.
ruleY
(
[
0
]
)
]
,
width
}
)
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viewof
numBins
=
Inputs
.
range
(
[
1
,
100
]
,
{
label
:
"Number of bins"
,
step
:
1
}
)
Insert cell
Plot
.
plot
(
{
marks
:
[
Plot
.
rectY
(
olympians
,
Plot
.
binX
(
{
y
:
"count"
,
title
:
"x"
}
,
{
x
:
"weight"
,
thresholds
:
numBins
}
)
)
,
Plot
.
ruleY
(
[
0
]
)
]
,
width
,
marginLeft
:
50
}
)
Insert cell
Insert cell
Insert cell
Plot
.
plot
(
{
marks
:
[
Plot
.
barY
(
olympians
,
Plot
.
groupX
(
{
y
:
"count"
}
,
{
x
:
"nationality"
,
sort
:
{
x
:
"y"
,
reverse
:
true
,
limit
:
10
}
}
)
)
,
]
,
color
:
{
legend
:
true
}
}
)
Insert cell
Insert cell
Plot
.
plot
(
{
marks
:
[
Plot
.
barY
(
olympians
,
Plot
.
groupX
(
{
y
:
"count"
}
,
{
x
:
"nationality"
,
fill
:
"sport"
,
title
:
"sport"
,
sort
:
{
x
:
"y"
,
reverse
:
true
,
limit
:
10
}
}
)
)
,
]
,
color
:
{
legend
:
true
}
}
)
Insert cell
Insert cell
Plot
.
plot
(
{
marks
:
[
Plot
.
barY
(
olympians
,
Plot
.
groupX
(
{
y
:
"count"
}
,
{
x
:
"nationality"
,
fill
:
"sex"
,
title
:
"sport"
,
sort
:
{
x
:
"y"
,
reverse
:
true
,
limit
:
10
}
}
)
)
,
]
,
color
:
{
domain
:
[
"male"
,
"female"
]
,
legend
:
true
}
}
)
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DonutChart
(
islands
,
{
name
:
d
=>
d
.
name
,
value
:
d
=>
d
.
value
,
innerRadius
:
0
}
)
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Plot
.
plot
(
{
y
:
{
tickFormat
:
"s"
}
,
marks
:
[
Plot
.
areaY
(
industries
,
{
x
:
"date"
,
offset
:
stacking
===
"baseline"
?
null
:
stacking
,
y
:
"unemployed"
,
fill
:
"industry"
}
)
,
Plot
.
ruleY
(
[
0
]
)
]
}
)
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Insert cell
Insert cell
Plot
.
plot
(
{
marks
:
[
Plot
.
ruleY
(
[
0
]
)
,
Plot
.
lineY
(
aapl
,
Plot
.
windowY
(
{
x
:
"Date"
,
y
:
"Close"
,
reduce
:
reducer
,
k
:
k
}
)
)
]
}
)
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Insert cell
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Plot
.
plot
(
{
marks
:
[
Plot
.
ruleY
(
[
1
]
)
,
Plot
.
line
(
stocks
,
Plot
.
normalizeY
(
{
x
:
"Date"
,
y
:
"Close"
,
stroke
:
"Symbol"
,
title
:
"Symbol"
}
)
)
,
]
,
y
:
{
type
:
"log"
,
grid
:
true
,
label
:
"↑ Change in price (%)"
,
tickFormat
:
(
f
=>
x
=>
f
(
(
x
-
1
)
*
100
)
)
(
d3
.
format
(
"+d"
)
)
}
,
}
)
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import
{
Plot
}
from
"@mkfreeman/plot-tooltip"
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import
{
islands
}
from
"@observablehq/datavis-course-lesson-1-introduction"
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import
{
DonutChart
}
from
"@d3/donut-chart"
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import
{
stocks
}
from
"@observablehq/plot-map"
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k
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reducer
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