Overview

Dataset statistics

Number of variables7
Number of observations7601
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory445.5 KiB
Average record size in memory60.0 B

Variable types

Text1
Categorical3
Numeric3

Dataset

Description대전광역시 도로관리시스템에 등재된 도로시설물 중 기타 시설로 분류된 시설물(면) 현황입니다.(지리정보가 포함되어있는 데이터입니다.)
Author대전광역시
URLhttps://www.data.go.kr/data/15110409/fileData.do

Alerts

대장초기화여부 has constant value ""Constant
관리번호 is highly overall correlated with 지형지물부호High correlation
지형지물부호 is highly overall correlated with 관리번호High correlation
지형지물부호 is highly imbalanced (74.3%)Imbalance
도엽번호 is highly skewed (γ1 = 28.45372605)Skewed
지리정보(WKT) has unique valuesUnique
관리번호 has unique valuesUnique

Reproduction

Analysis started2023-12-13 00:27:35.956321
Analysis finished2023-12-13 00:27:37.349575
Duration1.39 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지리정보(WKT)
Text

UNIQUE 

Distinct7601
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size59.5 KiB
2023-12-13T09:27:37.577122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length969
Mean length210.75214
Min length97

Characters and Unicode

Total characters1601927
Distinct characters25
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7601 ?
Unique (%)100.0%

Sample

1st rowMULTIPOLYGON (((240459.540000001 413790.65,240460.439999999 413790.21,240458.2 413785.599999999,240456.24 413782.060000001,240455.370000001 413782.54,240457.3 413786.040000001,240459.540000001 413790.65)))
2nd rowMULTIPOLYGON (((240329.1 413898.39,240329.420000001 413901.26,240331.580000001 413901.1,240330.640000001 413897.24,240329.1 413898.39)))
3rd rowMULTIPOLYGON (((240432.82 413842.44,240433.449999999 413843.4,240436.250000001 413841.88,240435.689999999 413840.79,240432.82 413842.44)))
4th rowMULTIPOLYGON (((240662.49 413700.54,240666.029999999 413700.48,240665.940000001 413696.13,240662.36 413696.32,240662.49 413700.54)))
5th rowMULTIPOLYGON (((240479.429999999 413770.36,240478.34 413770.94,240481.520000001 413777.670000001,240482.69 413777.0,240479.429999999 413770.36)))
ValueCountFrequency (%)
multipolygon 7601
 
10.8%
414814.92 3
 
< 0.1%
233479.089999999 3
 
< 0.1%
41 3
 
< 0.1%
237973.759999999 2
 
< 0.1%
233729.170000001 2
 
< 0.1%
424922.02 2
 
< 0.1%
417632.05,227244.990000001 2
 
< 0.1%
417626.32 2
 
< 0.1%
234464.720000001 2
 
< 0.1%
Other values (62724) 62873
89.2%
2023-12-13T09:27:37.971291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 201107
12.6%
0 188948
11.8%
2 148113
9.2%
1 141073
8.8%
4 138566
8.6%
3 117167
 
7.3%
. 110582
 
6.9%
8 79266
 
4.9%
7 78846
 
4.9%
6 75600
 
4.7%
Other values (15) 322659
20.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1244105
77.7%
Other Punctuation 158295
 
9.9%
Uppercase Letter 91212
 
5.7%
Space Separator 62897
 
3.9%
Open Punctuation 22811
 
1.4%
Close Punctuation 22607
 
1.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 201107
16.2%
0 188948
15.2%
2 148113
11.9%
1 141073
11.3%
4 138566
11.1%
3 117167
9.4%
8 79266
 
6.4%
7 78846
 
6.3%
6 75600
 
6.1%
5 75419
 
6.1%
Uppercase Letter
ValueCountFrequency (%)
O 15202
16.7%
L 15202
16.7%
U 7601
8.3%
N 7601
8.3%
G 7601
8.3%
Y 7601
8.3%
P 7601
8.3%
I 7601
8.3%
T 7601
8.3%
M 7601
8.3%
Other Punctuation
ValueCountFrequency (%)
. 110582
69.9%
, 47713
30.1%
Space Separator
ValueCountFrequency (%)
62897
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22811
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22607
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1510715
94.3%
Latin 91212
 
5.7%

Most frequent character per script

Common
ValueCountFrequency (%)
9 201107
13.3%
0 188948
12.5%
2 148113
9.8%
1 141073
9.3%
4 138566
9.2%
3 117167
7.8%
. 110582
7.3%
8 79266
 
5.2%
7 78846
 
5.2%
6 75600
 
5.0%
Other values (5) 231447
15.3%
Latin
ValueCountFrequency (%)
O 15202
16.7%
L 15202
16.7%
U 7601
8.3%
N 7601
8.3%
G 7601
8.3%
Y 7601
8.3%
P 7601
8.3%
I 7601
8.3%
T 7601
8.3%
M 7601
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1601927
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 201107
12.6%
0 188948
11.8%
2 148113
9.2%
1 141073
8.8%
4 138566
8.6%
3 117167
 
7.3%
. 110582
 
6.9%
8 79266
 
4.9%
7 78846
 
4.9%
6 75600
 
4.7%
Other values (15) 322659
20.1%

지형지물부호
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size59.5 KiB
계단
7013 
교통섬
 
571
승강장
 
17

Length

Max length3
Median length2
Mean length2.0773582
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
계단 7013
92.3%
교통섬 571
 
7.5%
승강장 17
 
0.2%

Length

2023-12-13T09:27:38.095769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:27:38.196715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
계단 7013
92.3%
교통섬 571
 
7.5%
승강장 17
 
0.2%

관리번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct7601
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4346.8896
Minimum1
Maximum9022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size66.9 KiB
2023-12-13T09:27:38.290793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile386
Q11962
median4288
Q36626
95-th percentile8639
Maximum9022
Range9021
Interquartile range (IQR)4664

Descriptive statistics

Standard deviation2676.3393
Coefficient of variation (CV)0.61569064
Kurtosis-1.2296763
Mean4346.8896
Median Absolute Deviation (MAD)2333
Skewness0.10362223
Sum33040708
Variance7162791.8
MonotonicityNot monotonic
2023-12-13T09:27:38.393156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
5840 1
 
< 0.1%
5853 1
 
< 0.1%
5852 1
 
< 0.1%
5850 1
 
< 0.1%
5849 1
 
< 0.1%
5848 1
 
< 0.1%
5847 1
 
< 0.1%
5846 1
 
< 0.1%
5845 1
 
< 0.1%
Other values (7591) 7591
99.9%
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 (%)
9022 1
< 0.1%
9021 1
< 0.1%
9020 1
< 0.1%
9019 1
< 0.1%
9018 1
< 0.1%
9017 1
< 0.1%
9016 1
< 0.1%
9015 1
< 0.1%
9014 1
< 0.1%
9013 1
< 0.1%

행정읍면동
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size59.5 KiB
대전광역시 유성구
2718 
대전광역시 서구
1855 
대전광역시 동구
1090 
대전광역시 중구
1075 
대전광역시 대덕구
863 

Length

Max length10
Median length9
Mean length9.4711222
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대전광역시 동구
2nd row대전광역시 동구
3rd row대전광역시 동구
4th row대전광역시 동구
5th row대전광역시 동구

Common Values

ValueCountFrequency (%)
대전광역시 유성구 2718
35.8%
대전광역시 서구 1855
24.4%
대전광역시 동구 1090
14.3%
대전광역시 중구 1075
 
14.1%
대전광역시 대덕구 863
 
11.4%

Length

2023-12-13T09:27:38.490160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:27:38.577394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대전광역시 7601
50.0%
유성구 2718
 
17.9%
서구 1855
 
12.2%
동구 1090
 
7.2%
중구 1075
 
7.1%
대덕구 863
 
5.7%

도엽번호
Real number (ℝ)

SKEWED 

Distinct66
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36710066
Minimum36710006
Maximum36714013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size66.9 KiB
2023-12-13T09:27:38.677307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36710006
5-th percentile36710036
Q136710053
median36710064
Q336710074
95-th percentile36710085
Maximum36714013
Range4007
Interquartile range (IQR)21

Descriptive statistics

Standard deviation136.53697
Coefficient of variation (CV)3.7193333 × 10-6
Kurtosis818.50097
Mean36710066
Median Absolute Deviation (MAD)11
Skewness28.453726
Sum2.7903321 × 1011
Variance18642.344
MonotonicityNot monotonic
2023-12-13T09:27:38.789339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36710064 456
 
6.0%
36710074 369
 
4.9%
36710054 347
 
4.6%
36710055 338
 
4.4%
36710078 332
 
4.4%
36710045 322
 
4.2%
36710068 309
 
4.1%
36710067 301
 
4.0%
36710043 269
 
3.5%
36710058 266
 
3.5%
Other values (56) 4292
56.5%
ValueCountFrequency (%)
36710006 1
 
< 0.1%
36710010 11
 
0.1%
36710015 3
 
< 0.1%
36710016 2
 
< 0.1%
36710017 20
 
0.3%
36710018 20
 
0.3%
36710019 19
 
0.2%
36710020 12
 
0.2%
36710025 2
 
< 0.1%
36710026 79
1.0%
ValueCountFrequency (%)
36714013 2
 
< 0.1%
36714004 5
 
0.1%
36714003 2
 
< 0.1%
36710100 4
 
0.1%
36710099 18
 
0.2%
36710096 5
 
0.1%
36710094 7
 
0.1%
36710092 1
 
< 0.1%
36710089 72
0.9%
36710088 11
 
0.1%

도로구간번호
Real number (ℝ)

Distinct3607
Distinct (%)47.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45520.014
Minimum808
Maximum134875
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size66.9 KiB
2023-12-13T09:27:38.900470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum808
5-th percentile6129
Q113214
median35342
Q366133
95-th percentile125496
Maximum134875
Range134067
Interquartile range (IQR)52919

Descriptive statistics

Standard deviation37694.511
Coefficient of variation (CV)0.82808655
Kurtosis-0.29887212
Mean45520.014
Median Absolute Deviation (MAD)23285
Skewness0.9217698
Sum3.4599763 × 108
Variance1.4208762 × 109
MonotonicityNot monotonic
2023-12-13T09:27:39.015915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46986 57
 
0.7%
13217 55
 
0.7%
6807 51
 
0.7%
13426 49
 
0.6%
10079 41
 
0.5%
9452 36
 
0.5%
1510 32
 
0.4%
13303 32
 
0.4%
6750 29
 
0.4%
10071 24
 
0.3%
Other values (3597) 7195
94.7%
ValueCountFrequency (%)
808 1
 
< 0.1%
811 1
 
< 0.1%
831 2
 
< 0.1%
1036 5
0.1%
1102 1
 
< 0.1%
1118 1
 
< 0.1%
1126 4
0.1%
1156 1
 
< 0.1%
1173 1
 
< 0.1%
1198 1
 
< 0.1%
ValueCountFrequency (%)
134875 1
 
< 0.1%
134873 3
 
< 0.1%
134825 3
 
< 0.1%
134786 1
 
< 0.1%
134761 1
 
< 0.1%
134759 1
 
< 0.1%
134656 1
 
< 0.1%
134630 1
 
< 0.1%
134603 9
0.1%
134489 2
 
< 0.1%

대장초기화여부
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size59.5 KiB
1
7601 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 7601
100.0%

Length

2023-12-13T09:27:39.115169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:27:39.187330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 7601
100.0%

Interactions

2023-12-13T09:27:36.969395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:27:36.508025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:27:36.731429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:27:37.037687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:27:36.569417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:27:36.805515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:27:37.120282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:27:36.655039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:27:36.885259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T09:27:39.231607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지형지물부호관리번호행정읍면동도엽번호도로구간번호
지형지물부호1.0000.7140.1160.0270.298
관리번호0.7141.0000.2630.0840.335
행정읍면동0.1160.2631.0000.0460.769
도엽번호0.0270.0840.0461.0000.000
도로구간번호0.2980.3350.7690.0001.000
2023-12-13T09:27:39.302493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지형지물부호행정읍면동
지형지물부호1.0000.087
행정읍면동0.0871.000
2023-12-13T09:27:39.365580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리번호도엽번호도로구간번호지형지물부호행정읍면동
관리번호1.000-0.0330.0420.5750.112
도엽번호-0.0331.000-0.1450.0450.056
도로구간번호0.042-0.1451.0000.1870.425
지형지물부호0.5750.0450.1871.0000.087
행정읍면동0.1120.0560.4250.0871.000

Missing values

2023-12-13T09:27:37.218147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T09:27:37.306822image/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

지리정보(WKT)지형지물부호관리번호행정읍면동도엽번호도로구간번호대장초기화여부
0MULTIPOLYGON (((240459.540000001 413790.65,240460.439999999 413790.21,240458.2 413785.599999999,240456.24 413782.060000001,240455.370000001 413782.54,240457.3 413786.040000001,240459.540000001 413790.65)))계단1대전광역시 동구36710079631791
1MULTIPOLYGON (((240329.1 413898.39,240329.420000001 413901.26,240331.580000001 413901.1,240330.640000001 413897.24,240329.1 413898.39)))계단2대전광역시 동구36710078675901
2MULTIPOLYGON (((240432.82 413842.44,240433.449999999 413843.4,240436.250000001 413841.88,240435.689999999 413840.79,240432.82 413842.44)))계단3대전광역시 동구3671007917691
3MULTIPOLYGON (((240662.49 413700.54,240666.029999999 413700.48,240665.940000001 413696.13,240662.36 413696.32,240662.49 413700.54)))계단4대전광역시 동구36710079669261
4MULTIPOLYGON (((240479.429999999 413770.36,240478.34 413770.94,240481.520000001 413777.670000001,240482.69 413777.0,240479.429999999 413770.36)))계단5대전광역시 동구36710079234891
5MULTIPOLYGON (((240420.769999999 413814.04,240418.370000001 413814.869999999,240418.970000001 413816.34,240421.41 413815.57,240420.769999999 413814.04)))계단6대전광역시 동구3671007920361
6MULTIPOLYGON (((240338.499999999 413789.47,240337.699999999 413789.86,240339.040000001 413792.08,240339.620000001 413791.76,240338.499999999 413789.47)))계단7대전광역시 동구36710078675571
7MULTIPOLYGON (((240643.31 413888.58,240643.270000001 413889.6,240647.969999999 413889.89,240648.079999999 413888.93,240643.31 413888.58)))계단8대전광역시 동구36710079631811
8MULTIPOLYGON (((240631.340000001 413863.28,240631.709999999 413864.24,240635.119999999 413862.81,240634.749999999 413861.58,240631.340000001 413863.28)))계단9대전광역시 동구36710079631811
9MULTIPOLYGON (((240430.800000001 413844.69,240430.220000001 413846.87,240431.2 413847.050000001,240431.78 413844.91,240430.800000001 413844.69)))계단10대전광역시 동구3671007920541
지리정보(WKT)지형지물부호관리번호행정읍면동도엽번호도로구간번호대장초기화여부
7591MULTIPOLYGON (((230734.34 418642.38,230748.960000001 418645.6,230749.23 418643.74,230749.539999999 418641.490000001,230749.540000001 418638.529999999,230749.53 418635.19,230749.089999999 418631.929999999,230748.119999999 418627.860000001,230747.1 418624.82,230745.880000001 418622.08,230744.399999999 418619.409999999,230742.75 418616.85,230741.330000001 418614.94,230740.2 418613.570000001,230737.670000001 418610.699999999,230728.17 418622.560000001,230728.840000001 418623.33,230730.639999999 418625.25,230731.78 418627.22,230732.779999999 418629.03,230733.700000001 418631.150000001,230734.319999999 418633.52,230734.689999999 418635.46,230734.79 418637.53,230734.82 418639.409999999,230734.720000001 418640.67,230734.34 418642.38)))계단4562대전광역시 유성구367100541295721
7592MULTIPOLYGON (((230097.179999999 415956.97,230090.100000001 415949.64,230091.799999999 415948.1,230088.389999999 415943.7,230087.21 415942.08,230087.029999999 415941.95,230082.329999999 415935.760000001,230083.54 415934.320000001,230084.479999999 415932.97,230085.400000001 415931.33,230083.509999999 415930.47,230084.050000001 415929.46,230084.480000001 415927.97,230086.56 415928.71,230087.020000001 415926.65,230087.27 415924.37,230087.250000001 415922.7,230087.06 415921.1,230086.78 415919.63,230086.429999999 415918.43,230085.769999999 415916.96,230083.050000001 415918.21,230083.56 415919.36,230083.95 415920.67,230084.160000001 415922.12,230084.200000001 415923.32,230084.05 415925.33,230083.740000001 415927.15,230082.98 415929.1,230082.5 415930.2,230081.740000001 415931.47,230080.48 415933.2,230079.390000001 415934.43,230078.23 415935.51,230083.299999999 415942.19,230082.520000001 415942.84,230084.600000001 415945.71,230082.05 415947.77,230084.2 415950.33,230087.199999999 415953.71,230090.040000001 415956.82,2계단4815대전광역시 유성구3671006431711
7593MULTIPOLYGON (((238565.099999999 413062.21,238565.97 413062.78,238564.56 413065.15,238567.31 413066.619999999,238568.56 413064.42,238580.92 413071.26,238579.63 413073.669999999,238582.419999999 413075.2,238583.78 413072.37,238597.370000001 413079.85,238596.76 413081.06,238598.08 413081.91,238599.200000001 413079.94,238618.840000001 413091.15,238618.010000001 413092.85,238619.440000001 413093.74,238620.55 413091.679999999,238629.910000001 413097.05,238628.73 413099.409999999,238631.429999999 413101.03,238632.74 413098.689999999,238645.219999999 413105.67,238644.200000001 413107.779999999,238646.880000001 413109.260000001,238648.589999999 413106.0,238656.94 413110.59,238659.940000001 413111.48,238660.999999999 413111.54,238661.969999999 413111.53,238663.000000001 413111.5,238664.389999999 413111.35,238665.789999999 413110.88,238668.549999999 413109.35,238669.830000001 413108.46,238670.580000001 413107.78,238671.950000001 413105.92,238676.760000001 413097.63,238677.65 413097.94,238680.17 413093.07,238679.3099999계단5632대전광역시 중구36710078695651
7594MULTIPOLYGON (((238160.750000001 413809.89,238151.019999999 413832.5,238154.389999999 413833.83,238163.680000001 413811.120000001,238160.750000001 413809.89)))계단5922대전광역시 중구3671007784581
7595MULTIPOLYGON (((240815.859999999 416920.68,240802.21 416917.459999999,240801.77 416919.36,240801.25 416919.23,240794.99 416948.799999999,240809.13 416952.33,240815.859999999 416920.68)))계단6036대전광역시 동구36710069133441
7596MULTIPOLYGON (((240803.019999999 416943.47,240802.52 416945.5,240804.53 416945.94,240805.06 416943.86,240803.019999999 416943.47)))계단6038대전광역시 동구36710069133741
7597MULTIPOLYGON (((240172.699999999 415770.42,240172.09 415765.42,240135.939999999 415770.980000001,240136.73 415776.02,240172.699999999 415770.42)))계단7429대전광역시 동구3671006895941
7598MULTIPOLYGON (((233755.330000001 419480.789999999,233780.049999999 419497.15,233786.259999999 419487.69,233761.23 419471.71,233755.330000001 419480.789999999)))계단7661대전광역시 유성구36710056428971
7599MULTIPOLYGON (((238605.920000001 412659.26,238601.16 412662.8,238605.609999999 412668.82,238610.5 412665.46,238605.920000001 412659.26)))계단8316대전광역시 중구3671007881271
7600MULTIPOLYGON (((237904.640058904 419236.950129515,237858.21012622 419042.380009016,237838.869932152 419046.260040021,237838.200040751 419043.670060216,237832.190077588 419044.980136959,237845.450001011 419100.500021392,237842.690088638 419101.220055218,237844.130020514 419107.230090255,237846.630149092 419106.639968588,237863.920162626 419178.020128107,237861.380003799 419178.690076881,237862.990008563 419185.280041529,237865.540078693 419184.86005163,237880.010127698 419242.619964172,237904.640058904 419236.950129515)))승강장8447대전광역시 대덕구367100571107191