Overview

Dataset statistics

Number of variables9
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.6 KiB
Average record size in memory78.3 B

Variable types

Categorical5
Numeric4

Dataset

Description샘플 데이터
Author지디에스컨설팅그룹
URLhttps://www.bigdata-environment.kr/user/data_market/detail.do?id=57044f70-1768-11eb-8adf-f5453fd1d47b

Alerts

전출지 has constant value ""Constant
전출지법정동명 has constant value ""Constant
전입지법정동명 is highly overall correlated with 전입지 and 1 other fieldsHigh correlation
공간정보 is highly overall correlated with 전입지 and 1 other fieldsHigh correlation
전입지 is highly overall correlated with 전출입 인구수 and 4 other fieldsHigh correlation
전출입 인구수 is highly overall correlated with 전입지 and 2 other fieldsHigh correlation
전출입 남자 인구수 is highly overall correlated with 전입지 and 2 other fieldsHigh correlation
전출입 여자 인구수 is highly overall correlated with 전입지 and 2 other fieldsHigh correlation
전출입 남자 인구수 has 28 (28.0%) zerosZeros
전출입 여자 인구수 has 21 (21.0%) zerosZeros

Reproduction

Analysis started2023-12-10 12:03:54.311634
Analysis finished2023-12-10 12:03:57.776193
Duration3.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

전출지
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1111051500
100 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1111051500
2nd row1111051500
3rd row1111051500
4th row1111051500
5th row1111051500

Common Values

ValueCountFrequency (%)
1111051500 100
100.0%

Length

2023-12-10T21:03:57.892665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:03:58.056285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1111051500 100
100.0%

전입지
Real number (ℝ)

HIGH CORRELATION 

Distinct23
Distinct (%)23.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7849635 × 109
Minimum1.1110515 × 109
Maximum4.215059 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:03:58.246760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1110515 × 109
5-th percentile1.1110515 × 109
Q11.111053 × 109
median1.111055 × 109
Q31.111058 × 109
95-th percentile4.1636267 × 109
Maximum4.215059 × 109
Range3.1040075 × 109
Interquartile range (IQR)5000

Descriptive statistics

Standard deviation1.2739995 × 109
Coefficient of variation (CV)0.71373982
Kurtosis-0.11780015
Mean1.7849635 × 109
Median Absolute Deviation (MAD)2000
Skewness1.3727303
Sum1.7849635 × 1011
Variance1.6230748 × 1018
MonotonicityNot monotonic
2023-12-10T21:03:58.499730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1111051500 19
19.0%
1111053000 16
16.0%
1111056000 15
15.0%
1111055000 12
12.0%
1111054000 8
8.0%
1111057000 4
 
4.0%
4159059000 4
 
4.0%
1111058000 3
 
3.0%
4215059000 3
 
3.0%
4161025300 2
 
2.0%
Other values (13) 14
14.0%
ValueCountFrequency (%)
1111051500 19
19.0%
1111053000 16
16.0%
1111054000 8
8.0%
1111055000 12
12.0%
1111056000 15
15.0%
1111057000 4
 
4.0%
1111058000 3
 
3.0%
1168051000 1
 
1.0%
4157057000 1
 
1.0%
4157058000 2
 
2.0%
ValueCountFrequency (%)
4215059000 3
3.0%
4215055000 1
 
1.0%
4213054200 1
 
1.0%
4161025300 2
2.0%
4161025000 1
 
1.0%
4159060000 1
 
1.0%
4159059000 4
4.0%
4159058700 1
 
1.0%
4159058500 1
 
1.0%
4159057000 1
 
1.0%

전출지법정동명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
서울특별시종로구청운동
100 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울특별시종로구청운동 100
100.0%

Length

2023-12-10T21:03:58.760654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:03:58.934054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시종로구청운동 100
100.0%

전입지법정동명
Categorical

HIGH CORRELATION 

Distinct22
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
서울특별시종로구청운동
19 
서울특별시종로구통의동
16 
서울특별시종로구구기동
15 
서울특별시종로구부암동
12 
서울특별시종로구팔판동
8 
Other values (17)
30 

Length

Max length11
Median length11
Mean length10.54
Min length8

Unique

Unique10 ?
Unique (%)10.0%

Sample

1st row서울특별시종로구교남동
2nd row서울특별시종로구통의동
3rd row서울특별시종로구무악동
4th row서울특별시종로구부암동
5th row서울특별시종로구청운동

Common Values

ValueCountFrequency (%)
서울특별시종로구청운동 19
19.0%
서울특별시종로구통의동 16
16.0%
서울특별시종로구구기동 15
15.0%
서울특별시종로구부암동 12
12.0%
서울특별시종로구팔판동 8
8.0%
경기도화성시영천동 4
 
4.0%
서울특별시종로구무악동 4
 
4.0%
서울특별시종로구교남동 3
 
3.0%
강원도강릉시송정동 3
 
3.0%
경기도김포시운양동 2
 
2.0%
Other values (12) 14
14.0%

Length

2023-12-10T21:03:59.120352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울특별시종로구청운동 19
19.0%
서울특별시종로구통의동 16
16.0%
서울특별시종로구구기동 15
15.0%
서울특별시종로구부암동 12
12.0%
서울특별시종로구팔판동 8
8.0%
경기도화성시영천동 4
 
4.0%
서울특별시종로구무악동 4
 
4.0%
서울특별시종로구교남동 3
 
3.0%
강원도강릉시송정동 3
 
3.0%
경기도화성시병점동 2
 
2.0%
Other values (12) 14
14.0%

연령대
Categorical

Distinct19
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
31~35
10 
26~30
10 
21~25
9 
16~20
8 
41~45
7 
Other values (14)
56 

Length

Max length6
Median length6
Mean length5.79
Min length3

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row11~15
2nd row46~50
3rd row51~55
4th row11~15
5th row86~90

Common Values

ValueCountFrequency (%)
31~35 10
 
10.0%
26~30 10
 
10.0%
21~25 9
 
9.0%
16~20 8
 
8.0%
41~45 7
 
7.0%
0~5 7
 
7.0%
46~50 7
 
7.0%
11~15 6
 
6.0%
51~55 6
 
6.0%
56~60 5
 
5.0%
Other values (9) 25
25.0%

Length

2023-12-10T21:03:59.338750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
31~35 10
 
9.7%
26~30 10
 
9.7%
21~25 9
 
8.7%
16~20 8
 
7.8%
41~45 7
 
6.8%
0~5 7
 
6.8%
46~50 7
 
6.8%
11~15 6
 
5.8%
51~55 6
 
5.8%
36~40 5
 
4.9%
Other values (10) 28
27.2%

전출입 인구수
Real number (ℝ)

HIGH CORRELATION 

Distinct28
Distinct (%)28.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.81
Minimum1
Maximum78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:03:59.545227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q37
95-th percentile50.1
Maximum78
Range77
Interquartile range (IQR)6

Descriptive statistics

Standard deviation15.960618
Coefficient of variation (CV)1.8116479
Kurtosis6.7748916
Mean8.81
Median Absolute Deviation (MAD)1
Skewness2.6683741
Sum881
Variance254.74131
MonotonicityNot monotonic
2023-12-10T21:03:59.750798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
1 39
39.0%
2 18
18.0%
3 7
 
7.0%
4 5
 
5.0%
5 4
 
4.0%
7 3
 
3.0%
8 2
 
2.0%
14 2
 
2.0%
6 1
 
1.0%
24 1
 
1.0%
Other values (18) 18
18.0%
ValueCountFrequency (%)
1 39
39.0%
2 18
18.0%
3 7
 
7.0%
4 5
 
5.0%
5 4
 
4.0%
6 1
 
1.0%
7 3
 
3.0%
8 2
 
2.0%
9 1
 
1.0%
10 1
 
1.0%
ValueCountFrequency (%)
78 1
1.0%
71 1
1.0%
61 1
1.0%
56 1
1.0%
52 1
1.0%
50 1
1.0%
39 1
1.0%
37 1
1.0%
36 1
1.0%
33 1
1.0%

전출입 남자 인구수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct18
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.93
Minimum0
Maximum34
Zeros28
Zeros (%)28.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:04:00.261159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile24.05
Maximum34
Range34
Interquartile range (IQR)3

Descriptive statistics

Standard deviation7.1566244
Coefficient of variation (CV)1.821024
Kurtosis6.2401051
Mean3.93
Median Absolute Deviation (MAD)1
Skewness2.6055872
Sum393
Variance51.217273
MonotonicityNot monotonic
2023-12-10T21:04:00.450937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1 31
31.0%
0 28
28.0%
2 14
14.0%
4 4
 
4.0%
3 3
 
3.0%
5 3
 
3.0%
7 2
 
2.0%
16 2
 
2.0%
14 2
 
2.0%
25 2
 
2.0%
Other values (8) 9
 
9.0%
ValueCountFrequency (%)
0 28
28.0%
1 31
31.0%
2 14
14.0%
3 3
 
3.0%
4 4
 
4.0%
5 3
 
3.0%
6 1
 
1.0%
7 2
 
2.0%
8 2
 
2.0%
12 1
 
1.0%
ValueCountFrequency (%)
34 1
1.0%
30 1
1.0%
27 1
1.0%
25 2
2.0%
24 1
1.0%
21 1
1.0%
16 2
2.0%
14 2
2.0%
12 1
1.0%
8 2
2.0%

전출입 여자 인구수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct22
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.88
Minimum0
Maximum44
Zeros21
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:04:00.652415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q34
95-th percentile25
Maximum44
Range44
Interquartile range (IQR)3

Descriptive statistics

Standard deviation9.0098487
Coefficient of variation (CV)1.8462805
Kurtosis7.3526467
Mean4.88
Median Absolute Deviation (MAD)1
Skewness2.735108
Sum488
Variance81.177374
MonotonicityNot monotonic
2023-12-10T21:04:00.835041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1 38
38.0%
0 21
21.0%
3 8
 
8.0%
2 7
 
7.0%
4 5
 
5.0%
5 2
 
2.0%
25 2
 
2.0%
6 2
 
2.0%
16 2
 
2.0%
44 1
 
1.0%
Other values (12) 12
 
12.0%
ValueCountFrequency (%)
0 21
21.0%
1 38
38.0%
2 7
 
7.0%
3 8
 
8.0%
4 5
 
5.0%
5 2
 
2.0%
6 2
 
2.0%
7 1
 
1.0%
8 1
 
1.0%
11 1
 
1.0%
ValueCountFrequency (%)
44 1
1.0%
41 1
1.0%
36 1
1.0%
35 1
1.0%
25 2
2.0%
22 1
1.0%
21 1
1.0%
19 1
1.0%
17 1
1.0%
16 2
2.0%

공간정보
Categorical

HIGH CORRELATION 

Distinct22
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
LINESTRING (953149.1845269034 1954555.4364937944, 953149.1845269034 1954555.4364937944)
19 
LINESTRING (953149.1845269034 1954555.4364937944, 953455.3113547622 1953319.0679172706)
16 
LINESTRING (953149.1845269034 1954555.4364937944, 952281.3202097848 1957908.0428133393)
15 
LINESTRING (953149.1845269034 1954555.4364937944, 952823.0808230129 1955173.9182460746)
12 
LINESTRING (953149.1845269034 1954555.4364937944, 954151.9091874086 1953838.8892732018)
8 
Other values (17)
30 

Length

Max length88
Median length87
Mean length86.8
Min length85

Unique

Unique10 ?
Unique (%)10.0%

Sample

1st rowLINESTRING (953149.1845269034 1954555.4364937944, 952707.4579112955 1952265.9888628842)
2nd rowLINESTRING (953149.1845269034 1954555.4364937944, 953455.3113547622 1953319.0679172706)
3rd rowLINESTRING (953149.1845269034 1954555.4364937944, 952193.0447732641 1953218.90858936)
4th rowLINESTRING (953149.1845269034 1954555.4364937944, 952823.0808230129 1955173.9182460746)
5th rowLINESTRING (953149.1845269034 1954555.4364937944, 953149.1845269034 1954555.4364937944)

Common Values

ValueCountFrequency (%)
LINESTRING (953149.1845269034 1954555.4364937944, 953149.1845269034 1954555.4364937944) 19
19.0%
LINESTRING (953149.1845269034 1954555.4364937944, 953455.3113547622 1953319.0679172706) 16
16.0%
LINESTRING (953149.1845269034 1954555.4364937944, 952281.3202097848 1957908.0428133393) 15
15.0%
LINESTRING (953149.1845269034 1954555.4364937944, 952823.0808230129 1955173.9182460746) 12
12.0%
LINESTRING (953149.1845269034 1954555.4364937944, 954151.9091874086 1953838.8892732018) 8
8.0%
LINESTRING (953149.1845269034 1954555.4364937944, 965058.9108259261 1912496.593260897) 4
 
4.0%
LINESTRING (953149.1845269034 1954555.4364937944, 952193.0447732641 1953218.90858936) 4
 
4.0%
LINESTRING (953149.1845269034 1954555.4364937944, 952707.4579112955 1952265.9888628842) 3
 
3.0%
LINESTRING (953149.1845269034 1954555.4364937944, 1125665.8510299283 1976241.404551582) 3
 
3.0%
LINESTRING (953149.1845269034 1954555.4364937944, 928146.1201352157 1962151.707469704) 2
 
2.0%
Other values (12) 14
14.0%

Length

2023-12-10T21:04:01.047853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
953149.1845269034 119
23.8%
1954555.4364937944 119
23.8%
linestring 100
20.0%
953455.3113547622 16
 
3.2%
1953319.0679172706 16
 
3.2%
952281.3202097848 15
 
3.0%
1957908.0428133393 15
 
3.0%
952823.0808230129 12
 
2.4%
1955173.9182460746 12
 
2.4%
1953838.8892732018 8
 
1.6%
Other values (35) 68
13.6%

Interactions

2023-12-10T21:03:56.763410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:03:54.784961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:03:55.464889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:03:56.132954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:03:56.909553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:03:54.931533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:03:55.622214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:03:56.317727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:03:57.094869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:03:55.134816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:03:55.780504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:03:56.474500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:03:57.242865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:03:55.313111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:03:55.955042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:03:56.624255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T21:04:01.187404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
전입지전입지법정동명연령대전출입 인구수전출입 남자 인구수전출입 여자 인구수공간정보
전입지1.0001.0000.0000.0000.0780.0001.000
전입지법정동명1.0001.0000.0000.0000.0000.0001.000
연령대0.0000.0001.0000.0000.0000.0000.000
전출입 인구수0.0000.0000.0001.0000.9020.9250.000
전출입 남자 인구수0.0780.0000.0000.9021.0000.9680.000
전출입 여자 인구수0.0000.0000.0000.9250.9681.0000.000
공간정보1.0001.0000.0000.0000.0000.0001.000
2023-12-10T21:04:01.349610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연령대전입지법정동명공간정보
연령대1.0000.0000.000
전입지법정동명0.0001.0001.000
공간정보0.0001.0001.000
2023-12-10T21:04:01.513504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
전입지전출입 인구수전출입 남자 인구수전출입 여자 인구수전입지법정동명연령대공간정보
전입지1.000-0.787-0.665-0.7450.8920.0520.892
전출입 인구수-0.7871.0000.8610.8500.0000.0000.000
전출입 남자 인구수-0.6650.8611.0000.5480.0000.0000.000
전출입 여자 인구수-0.7450.8500.5481.0000.0000.0000.000
전입지법정동명0.8920.0000.0000.0001.0000.0001.000
연령대0.0520.0000.0000.0000.0001.0000.000
공간정보0.8920.0000.0000.0001.0000.0001.000

Missing values

2023-12-10T21:03:57.438797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T21:03:57.671678image/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

전출지전입지전출지법정동명전입지법정동명연령대전출입 인구수전출입 남자 인구수전출입 여자 인구수공간정보
011110515001111058000서울특별시종로구청운동서울특별시종로구교남동11~15303LINESTRING (953149.1845269034 1954555.4364937944, 952707.4579112955 1952265.9888628842)
111110515001111053000서울특별시종로구청운동서울특별시종로구통의동46~501138LINESTRING (953149.1845269034 1954555.4364937944, 953455.3113547622 1953319.0679172706)
211110515001111057000서울특별시종로구청운동서울특별시종로구무악동51~55110LINESTRING (953149.1845269034 1954555.4364937944, 952193.0447732641 1953218.90858936)
311110515001111055000서울특별시종로구청운동서울특별시종로구부암동11~15220LINESTRING (953149.1845269034 1954555.4364937944, 952823.0808230129 1955173.9182460746)
411110515001111051500서울특별시종로구청운동서울특별시종로구청운동86~90413LINESTRING (953149.1845269034 1954555.4364937944, 953149.1845269034 1954555.4364937944)
511110515001111053000서울특별시종로구청운동서울특별시종로구통의동41~451275LINESTRING (953149.1845269034 1954555.4364937944, 953455.3113547622 1953319.0679172706)
611110515001111057000서울특별시종로구청운동서울특별시종로구무악동26~30211LINESTRING (953149.1845269034 1954555.4364937944, 952193.0447732641 1953218.90858936)
711110515001111056000서울특별시종로구청운동서울특별시종로구구기동6 ~10101LINESTRING (953149.1845269034 1954555.4364937944, 952281.3202097848 1957908.0428133393)
811110515001111055000서울특별시종로구청운동서울특별시종로구부암동0~5110LINESTRING (953149.1845269034 1954555.4364937944, 952823.0808230129 1955173.9182460746)
911110515001111053000서울특별시종로구청운동서울특별시종로구통의동71~75321LINESTRING (953149.1845269034 1954555.4364937944, 953455.3113547622 1953319.0679172706)
전출지전입지전출지법정동명전입지법정동명연령대전출입 인구수전출입 남자 인구수전출입 여자 인구수공간정보
9011110515004159053000서울특별시종로구청운동경기도화성시병점동26~30101LINESTRING (953149.1845269034 1954555.4364937944, 959127.736401974 1912044.0310155982)
9111110515004159025300서울특별시종로구청운동경기도화성시봉담읍16~20110LINESTRING (953149.1845269034 1954555.4364937944, 950237.9978104708 1911825.0052661898)
9211110515004213054200서울특별시종로구청운동강원도원주시명륜동26~30101LINESTRING (953149.1845269034 1954555.4364937944, 1039319.4714988185 1926277.7555365989)
9311110515004215055000서울특별시종로구청운동강원도강릉시교동21~25101LINESTRING (953149.1845269034 1954555.4364937944, 1122251.6676803876 1975100.893277605)
9411110515004159058500서울특별시종로구청운동경기도화성시반송동36~40101LINESTRING (953149.1845269034 1954555.4364937944, 961966.3887347948 1911055.6649722762)
9511110515001111051500서울특별시종로구청운동서울특별시종로구청운동16~20361422LINESTRING (953149.1845269034 1954555.4364937944, 953149.1845269034 1954555.4364937944)
9611110515001111051500서울특별시종로구청운동서울특별시종로구청운동26~30301416LINESTRING (953149.1845269034 1954555.4364937944, 953149.1845269034 1954555.4364937944)
9711110515001111051500서울특별시종로구청운동서울특별시종로구청운동31~35612536LINESTRING (953149.1845269034 1954555.4364937944, 953149.1845269034 1954555.4364937944)
9811110515001111058000서울특별시종로구청운동서울특별시종로구교남동21~25211LINESTRING (953149.1845269034 1954555.4364937944, 952707.4579112955 1952265.9888628842)
9911110515001111058000서울특별시종로구청운동서울특별시종로구교남동16~20211LINESTRING (953149.1845269034 1954555.4364937944, 952707.4579112955 1952265.9888628842)