Scatter Plots
Scatter Plot
using VegaLite, VegaDatasets
@vgplot(
height=200,
padding=5,
marks=[
{
name="marks",
encode={
update={
shape={
value="circle"
},
stroke={
value="#4682b4"
},
x={
field="Horsepower",
scale="x"
},
strokeWidth={
value=2
},
size={
field="Acceleration",
scale="size"
},
fill={
value="transparent"
},
opacity={
value=0.5
},
y={
field="Miles_per_Gallon",
scale="y"
}
}
},
from={
data="source"
},
type="symbol"
}
],
axes=[
{
domain=false,
tickCount=5,
grid=true,
title="Horsepower",
scale="x",
orient="bottom"
},
{
domain=false,
grid=true,
titlePadding=5,
title="Miles_per_Gallon",
scale="y",
orient="left"
}
],
data=[
{
name="source",
values=dataset("cars"),
transform=[
{
expr="datum['Horsepower'] != null && datum['Miles_per_Gallon'] != null && datum['Acceleration'] != null",
type="filter"
}
]
}
],
scales=[
{
name="x",
nice=true,
zero=true,
range="width",
domain={
data="source",
field="Horsepower"
},
type="linear",
round=true
},
{
name="y",
nice=true,
zero=true,
range="height",
domain={
data="source",
field="Miles_per_Gallon"
},
type="linear",
round=true
},
{
name="size",
nice=false,
zero=true,
range=[
4,
361
],
domain={
data="source",
field="Acceleration"
},
type="linear",
round=true
}
],
width=200,
legends=[
{
symbolOpacity=0.5,
format="s",
symbolStrokeWidth=2,
title="Acceleration",
size="size",
symbolStrokeColor="#4682b4",
symbolType="circle"
}
]
)Scatter Plot Null Values
using VegaLite, VegaDatasets
@vgplot(
height=450,
padding=5,
marks=[
{
encode={
update={
x={
field={
signal="xField"
},
scale="xscale"
},
zindex={
value=0
},
fillOpacity={
value=0.5
},
fill={
value="steelblue"
},
y={
field={
signal="yField"
},
scale="yscale"
}
},
hover={
zindex={
value=1
},
fillOpacity={
value=1
},
fill={
value="firebrick"
}
},
enter={
tooltip={
field="tooltip"
},
size={
value=50
}
}
},
from={
data="valid"
},
type="symbol"
},
{
encode={
update={
x={
field={
signal="xField"
},
scale="xscale"
},
fillOpacity={
value=0.2
},
fill={
value="#aaa"
},
y={
signal="height - nullSize/2"
}
},
hover={
fillOpacity={
value=1
},
fill={
value="firebrick"
}
},
enter={
tooltip={
field="tooltip"
},
size={
value=50
}
}
},
from={
data="nullY"
},
type="symbol"
},
{
encode={
update={
x={
signal="nullSize/2"
},
zindex={
value=0
},
fillOpacity={
value=0.2
},
fill={
value="#aaa"
},
y={
field={
signal="yField"
},
scale="yscale"
}
},
hover={
zindex={
value=1
},
fillOpacity={
value=1
},
fill={
value="firebrick"
}
},
enter={
tooltip={
field="tooltip"
},
size={
value=50
}
}
},
from={
data="nullX"
},
type="symbol"
},
{
encode={
update={
align={
value="right"
},
x={
offset=-4,
signal="nullSize"
},
fontSize={
value=9
},
text={
signal="datum.count + ' null'"
},
baseline={
value="top"
},
fill={
value="#999"
},
y={
offset=13,
signal="height"
}
}
},
interactive=false,
from={
data="nullXY"
},
type="text"
}
],
axes=[
{
format="s",
offset=5,
title={
signal="xField"
},
scale="xscale",
orient="bottom"
},
{
format="s",
offset=5,
title={
signal="yField"
},
scale="yscale",
orient="left"
}
],
data=[
{
name="movies",
values=dataset("movies"),
transform=[
{
as="tooltip",
expr="datum.Title + ' (' + (year(datum.Release_Date) || '?') + ')'",
type="formula"
}
]
},
{
name="valid",
source="movies",
transform=[
{
expr="datum[xField] != null && datum[yField] != null",
type="filter"
}
]
},
{
name="nullXY",
source="movies",
transform=[
{
expr="datum[xField] == null && datum[yField] == null",
type="filter"
},
{
type="aggregate"
}
]
},
{
name="nullY",
source="movies",
transform=[
{
expr="datum[xField] != null && datum[yField] == null",
type="filter"
}
]
},
{
name="nullX",
source="movies",
transform=[
{
expr="datum[xField] == null && datum[yField] != null",
type="filter"
}
]
}
],
scales=[
{
name="yscale",
nice=true,
range=[
{
signal="height - nullGap"
},
0
],
domain={
data="valid",
field={
signal="yField"
}
},
type="linear"
},
{
name="xscale",
nice=true,
range=[
{
signal="nullGap"
},
{
signal="width"
}
],
domain={
data="valid",
field={
signal="xField"
}
},
type="linear"
}
],
width=450,
autosize={
type="fit",
resize=true
},
signals=[
{
name="yField",
bind={
options=[
"IMDB_Rating",
"Rotten_Tomatoes_Rating",
"US_Gross",
"Worldwide_Gross"
],
input="select"
},
value="IMDB_Rating"
},
{
name="xField",
bind={
options=[
"IMDB_Rating",
"Rotten_Tomatoes_Rating",
"US_Gross",
"Worldwide_Gross"
],
input="select"
},
value="Rotten_Tomatoes_Rating"
},
{
name="nullSize",
value=8
},
{
name="nullGap",
update="nullSize + 10"
}
]
)Connected Scatter Plot
using VegaLite, VegaDatasets
@vgplot(
height=500,
padding=5,
marks=[
{
encode={
enter={
stroke={
value="#000"
},
interpolate={
value="cardinal"
},
x={
field="miles",
scale="x"
},
strokeWidth={
value=3
},
y={
field="gas",
scale="y"
}
}
},
from={
data="drive"
},
type="line"
},
{
encode={
enter={
stroke={
value="#000"
},
x={
field="miles",
scale="x"
},
strokeWidth={
value=1
},
size={
value=49
},
fill={
value="#fff"
},
y={
field="gas",
scale="y"
}
}
},
from={
data="drive"
},
type="symbol"
},
{
encode={
enter={
align={
field="side",
scale="align"
},
x={
field="miles",
scale="x"
},
dy={
field="side",
scale="dy"
},
dx={
field="side",
scale="dx"
},
fill={
value="#000"
},
text={
field="year"
},
baseline={
field="side",
scale="base"
},
y={
field="gas",
scale="y"
}
}
},
from={
data="drive"
},
type="text"
}
],
config={
axis={
labelFontSize=12,
domain=false,
labelFontWeight="bold",
tickSize=0
}
},
axes=[
{
tickCount=5,
grid=true,
scale="x",
orient="top"
},
{
labels=false,
title="Miles driven per capita each year",
scale="x",
orient="bottom",
ticks=false
},
{
format="\$0.2f",
tickCount=5,
grid=true,
scale="y",
orient="left"
},
{
labels=false,
title="Price of a gallon of gasoline (adjusted for inflation)",
scale="y",
orient="right",
ticks=false
}
],
data=[:drive=>dataset("driving")],
scales=[
{
name="x",
nice=true,
zero=false,
range="width",
domain={
data="drive",
field="miles"
},
type="linear",
round=true
},
{
name="y",
nice=true,
zero=false,
range="height",
domain={
data="drive",
field="gas"
},
type="linear",
round=true
},
{
name="align",
range=[
"right",
"left",
"center",
"center"
],
domain=[
"left",
"right",
"top",
"bottom"
],
type="ordinal"
},
{
name="base",
range=[
"middle",
"middle",
"bottom",
"top"
],
domain=[
"left",
"right",
"top",
"bottom"
],
type="ordinal"
},
{
name="dx",
range=[
-7,
6,
0,
0
],
domain=[
"left",
"right",
"top",
"bottom"
],
type="ordinal"
},
{
name="dy",
range=[
1,
1,
-5,
6
],
domain=[
"left",
"right",
"top",
"bottom"
],
type="ordinal"
}
],
width=800
)Error Bars
using VegaLite, VegaDatasets
@vgplot(
height=160,
padding=5,
marks=[
{
encode={
update={
x2={
signal="datum[measure+'1']",
scale="xscale"
},
x={
signal="datum[measure+'0']",
scale="xscale"
},
y={
field="variety",
scale="yscale",
band=0.5
}
},
enter={
height={
value=1
},
fill={
value="black"
}
}
},
from={
data="summary"
},
type="rect"
},
{
encode={
update={
x={
field="mean",
scale="xscale"
},
y={
field="variety",
scale="yscale",
band=0.5
}
},
enter={
size={
value=40
},
fill={
value="black"
}
}
},
from={
data="summary"
},
type="symbol"
}
],
config={
axisBand={
tickOffset=0,
tickExtra=true,
bandPosition=1
}
},
axes=[
{
zindex=1,
title="Barley Yield",
scale="xscale",
orient="bottom"
},
{
tickCount=5,
zindex=1,
scale="yscale",
orient="left"
}
],
data=[
:barley=>dataset("barley"),
{
name="summary",
source="barley",
transform=[
{
fields=[
"yield",
"yield",
"yield",
"yield",
"yield",
"yield",
"yield"
],
ops=[
"mean",
"stdev",
"stderr",
"ci0",
"ci1",
"q1",
"q3"
],
as=[
"mean",
"stdev",
"stderr",
"ci0",
"ci1",
"iqr0",
"iqr1"
],
groupby=[
"variety"
],
type="aggregate"
},
{
as="stdev0",
expr="datum.mean - datum.stdev",
type="formula"
},
{
as="stdev1",
expr="datum.mean + datum.stdev",
type="formula"
},
{
as="stderr0",
expr="datum.mean - datum.stderr",
type="formula"
},
{
as="stderr1",
expr="datum.mean + datum.stderr",
type="formula"
}
]
}
],
scales=[
{
name="yscale",
range="height",
domain={
sort={
order="descending",
field="mean",
op="max"
},
data="summary",
field="variety"
},
type="band"
},
{
name="xscale",
zero=false,
nice=true,
range="width",
domain={
fields=[
"stdev0",
"stdev1"
],
data="summary"
},
type="linear",
round=true
}
],
width=500,
signals=[
{
name="errorMeasure",
bind={
options=[
"95% Confidence Interval",
"Standard Error",
"Standard Deviation",
"Interquartile Range"
],
input="select"
},
value="95% Confidence Interval"
},
{
name="lookup",
value={
var"95% Confidence Interval"="ci",
var"Standard Deviation"="stdev",
var"Interquartile Range"="iqr",
var"Standard Error"="stderr"
}
},
{
name="measure",
update="lookup[errorMeasure]"
}
]
)Barley Trellis Plot
using VegaLite, VegaDatasets
@vgplot(
padding=5,
marks=[
{
name="site",
marks=[
{
encode={
enter={
stroke={
field="year",
scale="cscale"
},
x={
field="yield",
scale="xscale"
},
strokeWidth={
value=2
},
size={
value=50
},
y={
field="variety",
scale="yscale"
}
}
},
from={
data="sites"
},
type="symbol"
}
],
encode={
enter={
height={
signal="cellHeight"
},
stroke={
value="#ccc"
},
width={
signal="width"
},
y={
offset={
signal="offset"
},
field="site",
scale="gscale"
}
}
},
axes=[
{
domain=false,
encode={
grid={
enter={
strokeDash={
value=[
3,
3
]
}
}
}
},
grid=true,
scale="yscale",
orient="left",
tickSize=0
},
{
domain=false,
scale="yscale",
orient="right",
tickSize=0
}
],
scales=[
{
name="yscale",
padding=1,
range=[
0,
{
signal="cellHeight"
}
],
domain={
sort={
order="descending",
field="yield",
op="median"
},
data="barley",
field="variety"
},
type="point",
round=true
}
],
from={
facet={
name="sites",
data="barley",
groupby="site"
}
},
type="group"
},
{
encode={
enter={
fontWeight={
value="bold"
},
align={
value="center"
},
x={
mult=0.5,
field="width"
},
fontSize={
value=11
},
text={
field="datum.site"
},
baseline={
value="bottom"
},
fill={
value="#000"
},
y={
field="y"
}
}
},
from={
data="site"
},
type="text"
}
],
axes=[
{
zindex=1,
scale="xscale",
orient="bottom"
}
],
data=[:barley=>dataset("barley")],
scales=[
{
name="gscale",
range=[
0,
{
signal="height"
}
],
domain={
sort={
order="descending",
field="yield",
op="median"
},
data="barley",
field="site"
},
type="band",
round=true
},
{
name="xscale",
nice=true,
range="width",
domain={
data="barley",
field="yield"
},
type="linear",
round=true
},
{
name="cscale",
range="category",
domain={
data="barley",
field="year"
},
type="ordinal"
}
],
width=200,
signals=[
{
name="offset",
value=15
},
{
name="cellHeight",
value=100
},
{
name="height",
update="6 * (offset + cellHeight)"
}
],
legends=[
{
stroke="cscale",
padding=4,
encode={
symbols={
enter={
strokeWidth={
value=2
},
size={
value=50
}
}
}
},
title="Year"
}
]
)Regression
using VegaLite, VegaDatasets
@vgplot(
height=500,
padding=5,
marks=[
{
encode={
enter={
x={
field="Rotten_Tomatoes_Rating",
scale="x"
},
fillOpacity={
value=0.5
},
size={
value=16
},
y={
field="IMDB_Rating",
scale="y"
}
}
},
from={
data="movies"
},
type="symbol"
},
{
marks=[
{
encode={
enter={
stroke={
value="firebrick"
},
x={
field="u",
scale="x"
},
y={
field="v",
scale="y"
}
}
},
from={
data="curve"
},
type="line"
}
],
from={
facet={
name="curve",
data="trend",
groupby="Major_Genre"
}
},
type="group"
}
],
data=[
{
name="movies",
values=dataset("movies"),
transform=[
{
expr="datum.Rotten_Tomatoes_Rating != null && datum.IMDB_Rating != null",
type="filter"
}
]
},
{
name="trend",
source="movies",
transform=[
{
method={
signal="method"
},
order={
signal="polyOrder"
},
x="Rotten_Tomatoes_Rating",
as=[
"u",
"v"
],
groupby=[
{
signal="groupby === 'genre' ? 'Major_Genre' : 'foo'"
}
],
type="regression",
extent={
signal="domain('x')"
},
y="IMDB_Rating"
}
]
}
],
scales=[
{
name="x",
range="width",
domain={
data="movies",
field="Rotten_Tomatoes_Rating"
},
type="linear"
},
{
name="y",
range="height",
domain={
data="movies",
field="IMDB_Rating"
},
type="linear"
}
],
width=500,
autosize="pad",
signals=[
{
name="method",
bind={
options=[
"linear",
"log",
"exp",
"pow",
"quad",
"poly"
],
input="select"
},
value="linear"
},
{
name="polyOrder",
bind={
step=1,
max=10,
min=1,
input="range"
},
value=3
},
{
name="groupby",
bind={
options=[
"none",
"genre"
],
input="select"
},
value="none"
}
]
)Loess Regression
using VegaLite, VegaDatasets
@vgplot(
height=500,
padding=5,
marks=[
{
encode={
enter={
x={
field="Rotten_Tomatoes_Rating",
scale="x"
},
fillOpacity={
value=0.5
},
size={
value=16
},
y={
field="IMDB_Rating",
scale="y"
}
}
},
from={
data="movies"
},
type="symbol"
},
{
marks=[
{
encode={
enter={
stroke={
value="firebrick"
},
x={
field="u",
scale="x"
},
y={
field="v",
scale="y"
}
}
},
from={
data="curve"
},
type="line"
}
],
from={
facet={
name="curve",
data="trend",
groupby="Major_Genre"
}
},
type="group"
}
],
data=[
{
name="movies",
values=dataset("movies"),
transform=[
{
expr="datum.Rotten_Tomatoes_Rating != null && datum.IMDB_Rating != null",
type="filter"
}
]
},
{
name="trend",
source="movies",
transform=[
{
bandwidth={
signal="loessBandwidth"
},
x="Rotten_Tomatoes_Rating",
as=[
"u",
"v"
],
groupby=[
{
signal="groupby === 'genre' ? 'Major_Genre' : 'foo'"
}
],
type="loess",
y="IMDB_Rating"
}
]
}
],
scales=[
{
name="x",
range="width",
domain={
data="movies",
field="Rotten_Tomatoes_Rating"
},
type="linear"
},
{
name="y",
range="height",
domain={
data="movies",
field="IMDB_Rating"
},
type="linear"
}
],
width=500,
autosize="pad",
signals=[
{
name="loessBandwidth",
bind={
max=1,
min=0.05,
input="range"
},
value=0.3
},
{
name="groupby",
bind={
options=[
"none",
"genre"
],
input="select"
},
value="none"
}
]
)