Overview

Dataset statistics

Number of variables9
Number of observations282
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.3 KiB
Average record size in memory77.5 B

Variable types

Numeric5
Text1
Categorical3

Dataset

Description파일 다운로드
Author서울교통공사
URLhttps://data.seoul.go.kr/dataList/OA-13305/F/1/datasetView.do

Alerts

지반고(m) is highly overall correlated with 레일면고(m)High correlation
레일면고(m) is highly overall correlated with 지반고(m)High correlation
선로기준정거장깊이(m) is highly overall correlated with 승강장기준정거장깊이(m) and 1 other fieldsHigh correlation
승강장기준정거장깊이(m) is highly overall correlated with 선로기준정거장깊이(m) and 1 other fieldsHigh correlation
정거장층수 is highly overall correlated with 선로기준정거장깊이(m) and 1 other fieldsHigh correlation
형식 is highly overall correlated with 비고High correlation
비고 is highly overall correlated with 형식High correlation
비고 is highly imbalanced (50.0%)Imbalance

Reproduction

Analysis started2024-04-29 16:50:57.927735
Analysis finished2024-04-29 16:51:00.683360
Duration2.76 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

호선
Real number (ℝ)

Distinct8
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.6737589
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-30T01:51:00.726138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q36
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.0124044
Coefficient of variation (CV)0.43057515
Kurtosis-1.1825
Mean4.6737589
Median Absolute Deviation (MAD)2
Skewness-0.11365536
Sum1318
Variance4.0497716
MonotonicityIncreasing
2024-04-30T01:51:00.824848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
5 55
19.5%
7 51
18.1%
2 50
17.7%
6 39
13.8%
3 34
12.1%
4 26
9.2%
8 17
 
6.0%
1 10
 
3.5%
ValueCountFrequency (%)
1 10
 
3.5%
2 50
17.7%
3 34
12.1%
4 26
9.2%
5 55
19.5%
6 39
13.8%
7 51
18.1%
8 17
 
6.0%
ValueCountFrequency (%)
8 17
 
6.0%
7 51
18.1%
6 39
13.8%
5 55
19.5%
4 26
9.2%
3 34
12.1%
2 50
17.7%
1 10
 
3.5%

역사명
Text

Distinct249
Distinct (%)88.3%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2024-04-30T01:51:01.107973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length2
Mean length2.8652482
Min length2

Characters and Unicode

Total characters808
Distinct characters215
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique217 ?
Unique (%)77.0%

Sample

1st row서울역
2nd row시청
3rd row종각
4th row종로3가
5th row종로5가
ValueCountFrequency (%)
종로3가 3
 
1.1%
노원 2
 
0.7%
삼각지 2
 
0.7%
불광 2
 
0.7%
태릉입구 2
 
0.7%
약수 2
 
0.7%
잠실 2
 
0.7%
연신내 2
 
0.7%
신대방 2
 
0.7%
합정 2
 
0.7%
Other values (239) 261
92.6%
2024-04-30T01:51:01.526639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
대 32
 
4.0%
구 28
 
3.5%
신 26
 
3.2%
동 25
 
3.1%
산 20
 
2.5%
청 16
 
2.0%
문 14
 
1.7%
장 13
 
1.6%
지 13
 
1.6%
원 13
 
1.6%
Other values (205) 608
75.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 797
98.6%
Decimal Number 8
 
1.0%
Uppercase Letter 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 32
 
4.0%
구 28
 
3.5%
신 26
 
3.3%
동 25
 
3.1%
산 20
 
2.5%
청 16
 
2.0%
문 14
 
1.8%
장 13
 
1.6%
지 13
 
1.6%
원 13
 
1.6%
Other values (199) 597
74.9%
Decimal Number
ValueCountFrequency (%)
3 5
62.5%
4 2
 
25.0%
5 1
 
12.5%
Uppercase Letter
ValueCountFrequency (%)
D 1
33.3%
M 1
33.3%
C 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 797
98.6%
Common 8
 
1.0%
Latin 3
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 32
 
4.0%
구 28
 
3.5%
신 26
 
3.3%
동 25
 
3.1%
산 20
 
2.5%
청 16
 
2.0%
문 14
 
1.8%
장 13
 
1.6%
지 13
 
1.6%
원 13
 
1.6%
Other values (199) 597
74.9%
Common
ValueCountFrequency (%)
3 5
62.5%
4 2
 
25.0%
5 1
 
12.5%
Latin
ValueCountFrequency (%)
D 1
33.3%
M 1
33.3%
C 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 797
98.6%
ASCII 11
 
1.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
대 32
 
4.0%
구 28
 
3.5%
신 26
 
3.3%
동 25
 
3.1%
산 20
 
2.5%
청 16
 
2.0%
문 14
 
1.8%
장 13
 
1.6%
지 13
 
1.6%
원 13
 
1.6%
Other values (199) 597
74.9%
ASCII
ValueCountFrequency (%)
3 5
45.5%
4 2
 
18.2%
D 1
 
9.1%
M 1
 
9.1%
C 1
 
9.1%
5 1
 
9.1%

정거장층수
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
B2
118 
B3
82 
B4
33 
지상역사
20 
B5
20 
Other values (5)
 
9

Length

Max length4
Median length2
Mean length2.141844
Min length2

Unique

Unique3 ?
Unique (%)1.1%

Sample

1st rowB2
2nd rowB2
3rd rowB2
4th rowB2
5th rowB2

Common Values

ValueCountFrequency (%)
B2 118
41.8%
B3 82
29.1%
B4 33
 
11.7%
지상역사 20
 
7.1%
B5 20
 
7.1%
B6 3
 
1.1%
지상 3
 
1.1%
B1 1
 
0.4%
B8 1
 
0.4%
고가 1
 
0.4%

Length

2024-04-30T01:51:01.660189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:51:01.809376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
b2 118
41.8%
b3 82
29.1%
b4 33
 
11.7%
지상역사 20
 
7.1%
b5 20
 
7.1%
b6 3
 
1.1%
지상 3
 
1.1%
b1 1
 
0.4%
b8 1
 
0.4%
고가 1
 
0.4%

형식
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
상대식
197 
섬식
79 
섬식(복합)
 
5
단선
 
1

Length

Max length6
Median length3
Mean length2.7695035
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row섬식
2nd row상대식
3rd row상대식
4th row상대식
5th row상대식

Common Values

ValueCountFrequency (%)
상대식 197
69.9%
섬식 79
28.0%
섬식(복합) 5
 
1.8%
단선 1
 
0.4%

Length

2024-04-30T01:51:01.951278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:51:02.047518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상대식 197
69.9%
섬식 79
28.0%
섬식(복합 5
 
1.8%
단선 1
 
0.4%

지반고(m)
Real number (ℝ)

HIGH CORRELATION 

Distinct271
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean123.7561
Minimum105.43
Maximum208.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-30T01:51:02.158525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum105.43
5-th percentile109.212
Q1114.725
median121.2
Q3129.9625
95-th percentile145.409
Maximum208.65
Range103.22
Interquartile range (IQR)15.2375

Descriptive statistics

Standard deviation12.803992
Coefficient of variation (CV)0.1034615
Kurtosis7.3134039
Mean123.7561
Median Absolute Deviation (MAD)7.095
Skewness1.9051442
Sum34899.22
Variance163.94222
MonotonicityNot monotonic
2024-04-30T01:51:02.266684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
123.39 2
 
0.7%
112.14 2
 
0.7%
109.56 2
 
0.7%
141.03 2
 
0.7%
114.97 2
 
0.7%
113.38 2
 
0.7%
127.09 2
 
0.7%
119.1 2
 
0.7%
109.75 2
 
0.7%
119.91 2
 
0.7%
Other values (261) 262
92.9%
ValueCountFrequency (%)
105.43 1
0.4%
106.57 1
0.4%
107.28 1
0.4%
107.33 1
0.4%
107.83 1
0.4%
107.91 1
0.4%
108.08 1
0.4%
108.3 1
0.4%
108.61 1
0.4%
108.66 1
0.4%
ValueCountFrequency (%)
208.65 1
0.4%
171.78 1
0.4%
168.27 1
0.4%
166.05 1
0.4%
159.03 1
0.4%
156.71 1
0.4%
154.53 1
0.4%
153.71 1
0.4%
152.52 1
0.4%
150.81 1
0.4%

레일면고(m)
Real number (ℝ)

HIGH CORRELATION 

Distinct273
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106.80312
Minimum72.52
Maximum156.69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-30T01:51:02.392151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum72.52
5-th percentile88.38755
Q196.8375
median104.785
Q3115.655
95-th percentile130.329
Maximum156.69
Range84.17
Interquartile range (IQR)18.8175

Descriptive statistics

Standard deviation13.71297
Coefficient of variation (CV)0.12839484
Kurtosis0.63099719
Mean106.80312
Median Absolute Deviation (MAD)8.9
Skewness0.58607582
Sum30118.481
Variance188.04556
MonotonicityNot monotonic
2024-04-30T01:51:02.517094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
105.69 2
 
0.7%
125.0 2
 
0.7%
96.83 2
 
0.7%
128.47 2
 
0.7%
126.25 2
 
0.7%
104.77 2
 
0.7%
104.7 2
 
0.7%
99.98 2
 
0.7%
118.82 2
 
0.7%
95.75 1
 
0.4%
Other values (263) 263
93.3%
ValueCountFrequency (%)
72.52 1
0.4%
73.92 1
0.4%
74.33 1
0.4%
78.44 1
0.4%
78.65 1
0.4%
81.82 1
0.4%
82.28 1
0.4%
84.62 1
0.4%
85.9 1
0.4%
86.1 1
0.4%
ValueCountFrequency (%)
156.69 1
0.4%
152.86 1
0.4%
147.34 1
0.4%
144.57 1
0.4%
139.5 1
0.4%
138.28 1
0.4%
138.06 1
0.4%
136.8 1
0.4%
134.96 1
0.4%
133.77 1
0.4%

선로기준정거장깊이(m)
Real number (ℝ)

HIGH CORRELATION 

Distinct266
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.952975
Minimum-19.8
Maximum55.79
Zeros0
Zeros (%)0.0%
Negative23
Negative (%)8.2%
Memory size2.6 KiB
2024-04-30T01:51:02.624511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-19.8
5-th percentile-10.135
Q113.445
median17.045
Q322.3975
95-th percentile32.003
Maximum55.79
Range75.59
Interquartile range (IQR)8.9525

Descriptive statistics

Standard deviation11.036536
Coefficient of variation (CV)0.65100878
Kurtosis2.9125178
Mean16.952975
Median Absolute Deviation (MAD)4.3
Skewness-0.93772657
Sum4780.739
Variance121.80512
MonotonicityNot monotonic
2024-04-30T01:51:02.780458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.6 2
 
0.7%
13.37 2
 
0.7%
17.74 2
 
0.7%
23.72 2
 
0.7%
14.48 2
 
0.7%
13.05 2
 
0.7%
14.04 2
 
0.7%
15.9 2
 
0.7%
22.73 2
 
0.7%
13.55 2
 
0.7%
Other values (256) 262
92.9%
ValueCountFrequency (%)
-19.8 1
0.4%
-17.97 1
0.4%
-17.95 1
0.4%
-17.45 1
0.4%
-17.28 1
0.4%
-15.66 1
0.4%
-15.62 1
0.4%
-14.58 1
0.4%
-13.56 1
0.4%
-13.5 1
0.4%
ValueCountFrequency (%)
55.79 1
0.4%
45.75 1
0.4%
45.63 1
0.4%
43.26 1
0.4%
37.94 1
0.4%
37.21 1
0.4%
37.08 1
0.4%
36.88 1
0.4%
35.33 1
0.4%
34.65 1
0.4%

승강장기준정거장깊이(m)
Real number (ℝ)

HIGH CORRELATION 

Distinct266
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.852975
Minimum-20.9
Maximum54.69
Zeros0
Zeros (%)0.0%
Negative23
Negative (%)8.2%
Memory size2.6 KiB
2024-04-30T01:51:02.921931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-20.9
5-th percentile-11.235
Q112.345
median15.945
Q321.2975
95-th percentile30.903
Maximum54.69
Range75.59
Interquartile range (IQR)8.9525

Descriptive statistics

Standard deviation11.036536
Coefficient of variation (CV)0.69618072
Kurtosis2.9125178
Mean15.852975
Median Absolute Deviation (MAD)4.3
Skewness-0.93772657
Sum4470.539
Variance121.80512
MonotonicityNot monotonic
2024-04-30T01:51:03.287303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.7 2
 
0.7%
12.27 2
 
0.7%
16.64 2
 
0.7%
22.62 2
 
0.7%
13.38 2
 
0.7%
11.95 2
 
0.7%
12.94 2
 
0.7%
14.8 2
 
0.7%
21.63 2
 
0.7%
12.45 2
 
0.7%
Other values (256) 262
92.9%
ValueCountFrequency (%)
-20.9 1
0.4%
-19.07 1
0.4%
-19.05 1
0.4%
-18.55 1
0.4%
-18.38 1
0.4%
-16.76 1
0.4%
-16.72 1
0.4%
-15.68 1
0.4%
-14.66 1
0.4%
-14.6 1
0.4%
ValueCountFrequency (%)
54.69 1
0.4%
44.65 1
0.4%
44.53 1
0.4%
42.16 1
0.4%
36.84 1
0.4%
36.11 1
0.4%
35.98 1
0.4%
35.78 1
0.4%
34.23 1
0.4%
33.55 1
0.4%

비고
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct31
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
<NA>
182 
2호선환승
 
12
6호선환승
 
10
4호선환승
 
7
지선
 
7
Other values (26)
64 

Length

Max length13
Median length4
Mean length4.4539007
Min length2

Unique

Unique16 ?
Unique (%)5.7%

Sample

1st row4호선환승
2nd row2호선환승
3rd row<NA>
4th row3,5호선환승
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 182
64.5%
2호선환승 12
 
4.3%
6호선환승 10
 
3.5%
4호선환승 7
 
2.5%
지선 7
 
2.5%
3호선환승 7
 
2.5%
5호선환승 7
 
2.5%
분당선환승 6
 
2.1%
1호선환승 6
 
2.1%
최대심도역 6
 
2.1%
Other values (21) 32
 
11.3%

Length

2024-04-30T01:51:03.400975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 182
64.5%
2호선환승 12
 
4.3%
6호선환승 10
 
3.5%
4호선환승 7
 
2.5%
지선 7
 
2.5%
3호선환승 7
 
2.5%
5호선환승 7
 
2.5%
분당선환승 6
 
2.1%
1호선환승 6
 
2.1%
최대심도역 6
 
2.1%
Other values (21) 32
 
11.3%

Interactions

2024-04-30T01:50:59.969708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:50:58.318636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:50:58.738782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:50:59.102587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:50:59.515011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:51:00.104321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:50:58.397693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:50:58.819722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:50:59.185007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:50:59.603057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:51:00.202357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:50:58.478159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:50:58.888485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:50:59.257609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:50:59.685781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:51:00.290861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:50:58.556879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:50:58.954059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:50:59.331755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:50:59.774806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:51:00.392278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:50:58.647827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:50:59.028995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:50:59.415572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:50:59.882292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-30T01:51:03.482425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
호선정거장층수형식지반고(m)레일면고(m)선로기준정거장깊이(m)승강장기준정거장깊이(m)비고
호선1.0000.4470.2440.2850.3850.4810.4810.170
정거장층수0.4471.0000.5030.5700.7370.9350.9350.683
형식0.2440.5031.0000.0000.2050.4360.4360.940
지반고(m)0.2850.5700.0001.0000.7410.7730.7730.000
레일면고(m)0.3850.7370.2050.7411.0000.8290.8290.454
선로기준정거장깊이(m)0.4810.9350.4360.7730.8291.0001.0000.752
승강장기준정거장깊이(m)0.4810.9350.4360.7730.8291.0001.0000.752
비고0.1700.6830.9400.0000.4540.7520.7521.000
2024-04-30T01:51:03.584412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
형식정거장층수비고
형식1.0000.3200.642
정거장층수0.3201.0000.285
비고0.6420.2851.000
2024-04-30T01:51:03.661623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
호선지반고(m)레일면고(m)선로기준정거장깊이(m)승강장기준정거장깊이(m)정거장층수형식비고
호선1.0000.009-0.3120.4740.4740.2310.1100.018
지반고(m)0.0091.0000.6540.2070.2070.3140.0000.000
레일면고(m)-0.3120.6541.000-0.476-0.4760.3100.1220.153
선로기준정거장깊이(m)0.4740.207-0.4761.0001.0000.5780.2720.298
승강장기준정거장깊이(m)0.4740.207-0.4761.0001.0000.5780.2720.298
정거장층수0.2310.3140.3100.5780.5781.0000.3200.285
형식0.1100.0000.1220.2720.2720.3201.0000.642
비고0.0180.0000.1530.2980.2980.2850.6421.000

Missing values

2024-04-30T01:51:00.500676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-30T01:51:00.629654image/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

호선역사명정거장층수형식지반고(m)레일면고(m)선로기준정거장깊이(m)승강장기준정거장깊이(m)비고
01서울역B2섬식129.99117.0412.9511.854호선환승
11시청B2상대식129.97118.8211.1510.052호선환승
21종각B2상대식128.77116.2412.5311.43<NA>
31종로3가B2상대식124.38112.0412.3411.243,5호선환승
41종로5가B2상대식121.75109.2612.4911.39<NA>
51동대문B2상대식120.52108.9311.5910.494호선환승
61동묘앞B1상대식119.91109.979.948.846호선환승
71신설동B2상대식118.0108.469.548.442호선환승
81제기동B2상대식115.91105.4910.429.32<NA>
91청량리B2섬식114.41107.976.445.34중앙선환승
호선역사명정거장층수형식지반고(m)레일면고(m)선로기준정거장깊이(m)승강장기준정거장깊이(m)비고
2728가락시장B2상대식118.04103.5814.4613.363호선환승
2738문정B2상대식117.88101.9815.914.8<NA>
2748장지B2상대식119.68105.614.0812.98<NA>
2758복정B3섬식118.42104.8113.6112.51분당선환승
2768산성B4상대식208.65152.8655.7954.69최대심도역
2778남한산성입구B3상대식166.05147.3418.7117.61<NA>
2788단대오거리B3상대식153.71139.514.2113.11<NA>
2798신흥B2상대식143.89128.4715.4214.32<NA>
2808수진B2상대식137.63122.7614.8713.77<NA>
2818모란B3상대식128.39106.2322.1621.06분당선환승