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Download Definition Notebook
OutlierIdentifiers
Guides
Outlier identification
Symbols
BottomOutliers
ColorPlotOutliers
HampelIdentifier
HampelIdentifierParameters
ListPlotOutliers
OutlierIdentifier
OutlierIdentifyLess
OutlierIdentify
OutlierPosition
QuartileIdentifier
QuartileIdentifierParameters
SPLUSQuartileIdentifier
SPLUSQuartileIdentifierParameters
TopOutliers
AntonAntonov`OutlierIdentifiers`
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&
.
Examples
(
2
)
Basic Examples
(
1
)
Here is a list of random numbers:
I
n
[
1
]
:
=
S
e
e
d
R
a
n
d
o
m
[
3
3
]
;
p
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t
s
=
R
a
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d
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m
V
a
r
i
a
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e
[
G
a
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m
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D
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i
b
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[
3
2
,
3
]
,
3
2
]
O
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t
[
1
]
=
{
9
5
.
7
3
1
9
,
1
0
8
.
8
4
4
,
9
1
.
3
1
6
5
,
8
5
.
4
4
2
5
,
8
7
.
7
8
8
7
,
9
2
.
9
7
8
,
1
1
5
.
7
2
,
8
3
.
8
9
8
8
,
8
1
.
0
2
1
4
,
1
2
2
.
4
4
,
1
1
8
.
5
1
2
,
1
0
5
.
6
8
7
,
1
0
3
.
6
8
4
,
7
4
.
2
8
8
8
,
9
9
.
8
8
2
3
,
9
6
.
3
6
7
3
,
1
0
2
.
9
3
8
,
1
0
1
.
9
6
2
,
1
0
5
.
1
0
6
,
7
7
.
7
3
2
5
,
7
1
.
2
4
8
4
,
1
3
3
.
0
5
6
,
9
3
.
8
9
3
,
1
0
0
.
1
9
5
,
8
7
.
7
4
3
,
6
8
.
6
2
2
1
,
1
3
7
.
7
8
6
,
1
3
7
.
8
3
5
,
9
1
.
2
6
2
4
,
8
3
.
0
5
7
1
,
9
7
.
8
7
8
4
,
6
0
.
3
6
1
7
}
Here are outliers:
I
n
[
2
]
:
=
H
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p
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I
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i
f
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[
p
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]
O
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[
2
]
=
{
1
1
5
.
7
2
,
8
1
.
0
2
1
4
,
1
2
2
.
4
4
,
1
1
8
.
5
1
2
,
7
4
.
2
8
8
8
,
7
7
.
7
3
2
5
,
7
1
.
2
4
8
4
,
1
3
3
.
0
5
6
,
6
8
.
6
2
2
1
,
1
3
7
.
7
8
6
,
1
3
7
.
8
3
5
,
6
0
.
3
6
1
7
}
P
r
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p
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t
i
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s
&
R
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a
t
i
o
n
s
(
1
)
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▪
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