Overview

Dataset statistics

Number of variables8
Number of observations849
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory54.0 KiB
Average record size in memory65.2 B

Variable types

Numeric1
Categorical3
Text4

Dataset

Description파일 다운로드
Author서울 교통공사
URLhttps://data.seoul.go.kr/dataList/OA-13241/F/1/datasetView.do

Alerts

장비 has constant value ""Constant
연번 is highly overall correlated with 호선High correlation
호선 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
승강기번호 has unique valuesUnique

Reproduction

Analysis started2023-12-11 04:00:45.194866
Analysis finished2023-12-11 04:00:46.008407
Duration0.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct849
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean425
Minimum1
Maximum849
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.6 KiB
2023-12-11T13:00:46.120722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile43.4
Q1213
median425
Q3637
95-th percentile806.6
Maximum849
Range848
Interquartile range (IQR)424

Descriptive statistics

Standard deviation245.22948
Coefficient of variation (CV)0.57701055
Kurtosis-1.2
Mean425
Median Absolute Deviation (MAD)212
Skewness0
Sum360825
Variance60137.5
MonotonicityStrictly increasing
2023-12-11T13:00:46.303907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
559 1
 
0.1%
561 1
 
0.1%
562 1
 
0.1%
563 1
 
0.1%
564 1
 
0.1%
565 1
 
0.1%
566 1
 
0.1%
567 1
 
0.1%
568 1
 
0.1%
Other values (839) 839
98.8%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
849 1
0.1%
848 1
0.1%
847 1
0.1%
846 1
0.1%
845 1
0.1%
844 1
0.1%
843 1
0.1%
842 1
0.1%
841 1
0.1%
840 1
0.1%

호선
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
5
151 
2
150 
7
127 
6
113 
3
87 
Other values (8)
221 

Length

Max length5
Median length1
Mean length1.2120141
Min length1

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
5 151
17.8%
2 150
17.7%
7 127
15.0%
6 113
13.3%
3 87
10.2%
4 78
9.2%
8 56
 
6.6%
1 36
 
4.2%
5(연) 24
 
2.8%
2(기타) 19
 
2.2%
Other values (3) 8
 
0.9%

Length

2023-12-11T13:00:46.457702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5 151
17.8%
2 150
17.7%
7 127
15.0%
6 113
13.3%
3 87
10.2%
4 78
9.2%
8 56
 
6.6%
1 36
 
4.2%
5(연 24
 
2.8%
2(기타 19
 
2.2%
Other values (3) 8
 
0.9%

역명
Text

Distinct256
Distinct (%)30.2%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
2023-12-11T13:00:46.768517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length2
Mean length3.1236749
Min length2

Characters and Unicode

Total characters2652
Distinct characters214
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)1.9%

Sample

1st row서울(1)
2nd row서울(1)
3rd row서울(1)
4th row서울(1)
5th row시청(1)
ValueCountFrequency (%)
삼각지 10
 
1.2%
동묘앞 9
 
1.1%
합정 9
 
1.1%
가락시장 9
 
1.1%
잠실 8
 
0.9%
오금 8
 
0.9%
노원 7
 
0.8%
대림 7
 
0.8%
강일 7
 
0.8%
영등포구청 7
 
0.8%
Other values (246) 768
90.5%
2023-12-11T13:00:47.245955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
대 98
 
3.7%
신 85
 
3.2%
구 78
 
2.9%
동 69
 
2.6%
산 58
 
2.2%
지 54
 
2.0%
) 50
 
1.9%
( 50
 
1.9%
원 46
 
1.7%
입 42
 
1.6%
Other values (204) 2022
76.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2485
93.7%
Decimal Number 67
 
2.5%
Close Punctuation 50
 
1.9%
Open Punctuation 50
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 98
 
3.9%
신 85
 
3.4%
구 78
 
3.1%
동 69
 
2.8%
산 58
 
2.3%
지 54
 
2.2%
원 46
 
1.9%
입 42
 
1.7%
정 39
 
1.6%
청 39
 
1.6%
Other values (197) 1877
75.5%
Decimal Number
ValueCountFrequency (%)
1 19
28.4%
4 15
22.4%
3 15
22.4%
2 15
22.4%
5 3
 
4.5%
Close Punctuation
ValueCountFrequency (%)
) 50
100.0%
Open Punctuation
ValueCountFrequency (%)
( 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2485
93.7%
Common 167
 
6.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 98
 
3.9%
신 85
 
3.4%
구 78
 
3.1%
동 69
 
2.8%
산 58
 
2.3%
지 54
 
2.2%
원 46
 
1.9%
입 42
 
1.7%
정 39
 
1.6%
청 39
 
1.6%
Other values (197) 1877
75.5%
Common
ValueCountFrequency (%)
) 50
29.9%
( 50
29.9%
1 19
 
11.4%
4 15
 
9.0%
3 15
 
9.0%
2 15
 
9.0%
5 3
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2485
93.7%
ASCII 167
 
6.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
대 98
 
3.9%
신 85
 
3.4%
구 78
 
3.1%
동 69
 
2.8%
산 58
 
2.3%
지 54
 
2.2%
원 46
 
1.9%
입 42
 
1.7%
정 39
 
1.6%
청 39
 
1.6%
Other values (197) 1877
75.5%
ASCII
ValueCountFrequency (%)
) 50
29.9%
( 50
29.9%
1 19
 
11.4%
4 15
 
9.0%
3 15
 
9.0%
2 15
 
9.0%
5 3
 
1.8%

장비
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
E/L
849 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowE/L
2nd rowE/L
3rd rowE/L
4th rowE/L
5th rowE/L

Common Values

ValueCountFrequency (%)
E/L 849
100.0%

Length

2023-12-11T13:00:47.371483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T13:00:47.461368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
e/l 849
100.0%

호기
Categorical

Distinct24
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
1
158 
2
147 
3
112 
내부#1
112 
외부#1
104 
Other values (19)
216 

Length

Max length4
Median length1
Mean length2.2579505
Min length1

Unique

Unique6 ?
Unique (%)0.7%

Sample

1st row내부#1
2nd row외부#1
3rd row외부#2
4th row외부#3
5th row내부#1

Common Values

ValueCountFrequency (%)
1 158
18.6%
2 147
17.3%
3 112
13.2%
내부#1 112
13.2%
외부#1 104
12.2%
내부#2 76
9.0%
4 49
 
5.8%
외부#2 43
 
5.1%
5 16
 
1.9%
외부#3 6
 
0.7%
Other values (14) 26
 
3.1%

Length

2023-12-11T13:00:47.569730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1 158
18.6%
2 147
17.3%
3 112
13.2%
내부#1 112
13.2%
외부#1 104
12.2%
내부#2 76
9.0%
4 49
 
5.8%
외부#2 43
 
5.1%
5 16
 
1.9%
외부#3 6
 
0.7%
Other values (14) 26
 
3.1%

승강기번호
Text

UNIQUE 

Distinct849
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
2023-12-11T13:00:47.908041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length8.0011779
Min length8

Characters and Unicode

Total characters6793
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique849 ?
Unique (%)100.0%

Sample

1st row0074-205
2nd row0104-656
3rd row0105-867
4th row0073-979
5th row0002-888
ValueCountFrequency (%)
0074-205 1
 
0.1%
0042-691 1
 
0.1%
0102-253 1
 
0.1%
0102-709 1
 
0.1%
0102-710 1
 
0.1%
0040-487 1
 
0.1%
0042-689 1
 
0.1%
0042-690 1
 
0.1%
0042-852 1
 
0.1%
0042-853 1
 
0.1%
Other values (839) 839
98.8%
2023-12-11T13:00:48.412997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1978
29.1%
- 849
12.5%
2 586
 
8.6%
1 581
 
8.6%
9 458
 
6.7%
7 444
 
6.5%
3 418
 
6.2%
5 394
 
5.8%
8 394
 
5.8%
4 381
 
5.6%
Other values (2) 310
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5943
87.5%
Dash Punctuation 849
 
12.5%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1978
33.3%
2 586
 
9.9%
1 581
 
9.8%
9 458
 
7.7%
7 444
 
7.5%
3 418
 
7.0%
5 394
 
6.6%
8 394
 
6.6%
4 381
 
6.4%
6 309
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 849
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6793
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1978
29.1%
- 849
12.5%
2 586
 
8.6%
1 581
 
8.6%
9 458
 
6.7%
7 444
 
6.5%
3 418
 
6.2%
5 394
 
5.8%
8 394
 
5.8%
4 381
 
5.6%
Other values (2) 310
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6793
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1978
29.1%
- 849
12.5%
2 586
 
8.6%
1 581
 
8.6%
9 458
 
6.7%
7 444
 
6.5%
3 418
 
6.2%
5 394
 
5.8%
8 394
 
5.8%
4 381
 
5.6%
Other values (2) 310
 
4.6%

운행구간
Text

Distinct91
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
2023-12-11T13:00:48.662037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length5
Mean length7.0848057
Min length3

Characters and Unicode

Total characters6015
Distinct characters35
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)4.1%

Sample

1st rowB2(승)~B1(대)
2nd rowB1(대)~지상
3rd rowB1(대)~지상
4th rowB1(대)~지상
5th rowB2(승)~B1(대)
ValueCountFrequency (%)
b2(승)~b1(대 111
13.0%
b1(대)~지상 109
12.8%
f1-b1 103
12.1%
b2-b3 84
 
9.8%
b1-b2 80
 
9.4%
f1-b2 41
 
4.8%
b1-b3 27
 
3.2%
f2(대)~f3(승 24
 
2.8%
b3(승)~b2(대 21
 
2.5%
b3-b4 20
 
2.3%
Other values (83) 233
27.3%
2023-12-11T13:00:49.083872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
B 1223
20.3%
1 761
12.7%
) 565
9.4%
( 564
9.4%
- 480
 
8.0%
2 468
 
7.8%
~ 388
 
6.5%
대 353
 
5.9%
F 324
 
5.4%
3 224
 
3.7%
Other values (25) 665
11.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1573
26.2%
Uppercase Letter 1554
25.8%
Other Letter 884
14.7%
Close Punctuation 565
 
9.4%
Open Punctuation 564
 
9.4%
Dash Punctuation 480
 
8.0%
Math Symbol 390
 
6.5%
Space Separator 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 353
39.9%
승 203
23.0%
상 155
17.5%
지 152
17.2%
가 3
 
0.3%
호 2
 
0.2%
연 2
 
0.2%
선 2
 
0.2%
실 2
 
0.2%
합 2
 
0.2%
Other values (7) 8
 
0.9%
Decimal Number
ValueCountFrequency (%)
1 761
48.4%
2 468
29.8%
3 224
 
14.2%
4 73
 
4.6%
5 28
 
1.8%
7 8
 
0.5%
6 6
 
0.4%
8 3
 
0.2%
0 2
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
B 1223
78.7%
F 324
 
20.8%
M 7
 
0.5%
Math Symbol
ValueCountFrequency (%)
~ 388
99.5%
⇔ 2
 
0.5%
Close Punctuation
ValueCountFrequency (%)
) 565
100.0%
Open Punctuation
ValueCountFrequency (%)
( 564
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 480
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3577
59.5%
Latin 1554
25.8%
Hangul 884
 
14.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 353
39.9%
승 203
23.0%
상 155
17.5%
지 152
17.2%
가 3
 
0.3%
호 2
 
0.2%
연 2
 
0.2%
선 2
 
0.2%
실 2
 
0.2%
합 2
 
0.2%
Other values (7) 8
 
0.9%
Common
ValueCountFrequency (%)
1 761
21.3%
) 565
15.8%
( 564
15.8%
- 480
13.4%
2 468
13.1%
~ 388
10.8%
3 224
 
6.3%
4 73
 
2.0%
5 28
 
0.8%
7 8
 
0.2%
Other values (5) 18
 
0.5%
Latin
ValueCountFrequency (%)
B 1223
78.7%
F 324
 
20.8%
M 7
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5129
85.3%
Hangul 884
 
14.7%
Arrows 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
B 1223
23.8%
1 761
14.8%
) 565
11.0%
( 564
11.0%
- 480
 
9.4%
2 468
 
9.1%
~ 388
 
7.6%
F 324
 
6.3%
3 224
 
4.4%
4 73
 
1.4%
Other values (7) 59
 
1.2%
Hangul
ValueCountFrequency (%)
대 353
39.9%
승 203
23.0%
상 155
17.5%
지 152
17.2%
가 3
 
0.3%
호 2
 
0.2%
연 2
 
0.2%
선 2
 
0.2%
실 2
 
0.2%
합 2
 
0.2%
Other values (7) 8
 
0.9%
Arrows
ValueCountFrequency (%)
⇔ 2
100.0%

설치위치
Text

Distinct207
Distinct (%)24.4%
Missing1
Missing (%)0.1%
Memory size6.8 KiB
2023-12-11T13:00:49.333717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length6
Mean length5.6981132
Min length2

Characters and Unicode

Total characters4832
Distinct characters85
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique109 ?
Unique (%)12.9%

Sample

1st row섬식(상) 5-1
2nd row2번 출구측
3rd row4번 출구측
4th row3번 출구측
5th row상행 3-2
ValueCountFrequency (%)
승강장 258
18.1%
상행 136
 
9.5%
하행 134
 
9.4%
출구측 118
 
8.3%
1번출구 38
 
2.7%
내선 33
 
2.3%
외선 33
 
2.3%
1번 33
 
2.3%
3번출구 32
 
2.2%
2번출구 32
 
2.2%
Other values (135) 582
40.7%
2023-12-11T13:00:49.745866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
583
 
12.1%
구 336
 
7.0%
출 335
 
6.9%
번 330
 
6.8%
행 274
 
5.7%
승 262
 
5.4%
장 260
 
5.4%
강 258
 
5.3%
- 215
 
4.4%
1 171
 
3.5%
Other values (75) 1808
37.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3110
64.4%
Decimal Number 807
 
16.7%
Space Separator 583
 
12.1%
Dash Punctuation 215
 
4.4%
Close Punctuation 46
 
1.0%
Open Punctuation 46
 
1.0%
Other Punctuation 20
 
0.4%
Math Symbol 4
 
0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 336
10.8%
출 335
10.8%
번 330
10.6%
행 274
8.8%
승 262
8.4%
장 260
8.4%
강 258
8.3%
상 167
 
5.4%
하 156
 
5.0%
측 124
 
4.0%
Other values (58) 608
19.5%
Decimal Number
ValueCountFrequency (%)
1 171
21.2%
3 164
20.3%
4 133
16.5%
2 129
16.0%
8 59
 
7.3%
6 48
 
5.9%
5 39
 
4.8%
7 36
 
4.5%
9 14
 
1.7%
0 14
 
1.7%
Space Separator
ValueCountFrequency (%)
583
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 215
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%
Other Punctuation
ValueCountFrequency (%)
, 20
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3110
64.4%
Common 1721
35.6%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 336
10.8%
출 335
10.8%
번 330
10.6%
행 274
8.8%
승 262
8.4%
장 260
8.4%
강 258
8.3%
상 167
 
5.4%
하 156
 
5.0%
측 124
 
4.0%
Other values (58) 608
19.5%
Common
ValueCountFrequency (%)
583
33.9%
- 215
 
12.5%
1 171
 
9.9%
3 164
 
9.5%
4 133
 
7.7%
2 129
 
7.5%
8 59
 
3.4%
6 48
 
2.8%
) 46
 
2.7%
( 46
 
2.7%
Other values (6) 127
 
7.4%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3110
64.4%
ASCII 1722
35.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
583
33.9%
- 215
 
12.5%
1 171
 
9.9%
3 164
 
9.5%
4 133
 
7.7%
2 129
 
7.5%
8 59
 
3.4%
6 48
 
2.8%
) 46
 
2.7%
( 46
 
2.7%
Other values (7) 128
 
7.4%
Hangul
ValueCountFrequency (%)
구 336
10.8%
출 335
10.8%
번 330
10.6%
행 274
8.8%
승 262
8.4%
장 260
8.4%
강 258
8.3%
상 167
 
5.4%
하 156
 
5.0%
측 124
 
4.0%
Other values (58) 608
19.5%

Interactions

2023-12-11T13:00:45.671262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T13:00:49.870635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번호선호기운행구간
연번1.0000.9060.6510.817
호선0.9061.0000.7390.970
호기0.6510.7391.0000.941
운행구간0.8170.9700.9411.000
2023-12-11T13:00:50.005625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
호기호선
호기1.0000.342
호선0.3421.000
2023-12-11T13:00:50.114057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번호선호기
연번1.0000.6840.300
호선0.6841.0000.342
호기0.3000.3421.000

Missing values

2023-12-11T13:00:45.804228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T13:00:45.951710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

연번호선역명장비호기승강기번호운행구간설치위치
011서울(1)E/L내부#10074-205B2(승)~B1(대)섬식(상) 5-1
121서울(1)E/L외부#10104-656B1(대)~지상2번 출구측
231서울(1)E/L외부#20105-867B1(대)~지상4번 출구측
341서울(1)E/L외부#30073-979B1(대)~지상3번 출구측
451시청(1)E/L내부#10002-888B2(승)~B1(대)상행 3-2
561시청(1)E/L내부#20002-887B2(승)~B1(대)하행 8-3
671시청(1)E/L외부#10002-889B1(대)~지상1-2번 출구사이
781종각E/L내부#10000-506B2(승)~B1(대)상행 6-4
891종각E/L내부#20000-507B2(승)~B1(대)하행 4-4
9101종각E/L외부#10000-508B1(대)~지상3번 출구측
연번호선역명장비호기승강기번호운행구간설치위치
8398408단대오거리E/L22116-587B1-B3하행 승강장
8408418단대오거리E/L32116-588F1-B14번출구
8418428신흥E/L12022-969B1-B2상행 승강장
8428438신흥E/L22022-970B1-B2하행 승강장
8438448수진E/L12116-589B1-B2상행 승강장
8448458수진E/L22116-590B1-B2하행 승강장
8458468수진E/L32212-625B1-F13번출구
8468478모란E/L12116-583B1-B3상행 승강장
8478488모란E/L22116-584B2-B3종점 승강장
8488498모란E/L32116-585F1-B111번출구