Overview

Dataset statistics

Number of variables9
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory830.1 KiB
Average record size in memory85.0 B

Variable types

Text1
Categorical4
Numeric4

Dataset

Description대전광역시 도로관리시스템에 등재된 도로포장 현황입니다. ※ 2022년 공공데이터 기업 매칭 지원사업으로 청년 인턴을 통해 구축·정비된 데이터입니다. 법적 효력이 없으므로 참고 목적으로만 활용하시기 바랍니다.
Author대전광역시
URLhttps://www.data.go.kr/data/15110487/fileData.do

Alerts

지형지물부호 has constant value ""Constant
대장초기화여부 has constant value ""Constant
관리번호 is highly overall correlated with 도엽번호 and 1 other fieldsHigh correlation
도엽번호 is highly overall correlated with 관리번호High correlation
행정읍면동 is highly overall correlated with 관리번호High correlation
지리정보(WKT) has unique valuesUnique
관리번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:28:20.118031
Analysis finished2023-12-12 09:28:24.357151
Duration4.24 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지리정보(WKT)
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T18:28:24.666910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length992
Mean length447.9923
Min length151

Characters and Unicode

Total characters4479923
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

Unique10000 ?
Unique (%)100.0%

Sample

1st rowMULTIPOLYGON (((235019.220133014 425524.960100238,235014.589047095 425516.988105635,234978.489028265 425533.667042778,234976.559130345 425530.013085052,234976.028105289 425529.97411781,234968.107953334 425533.327125842,234975.740004013 425548.040144811,234977.169993834 425543.990021312,235015.270077088 425523.950008214,235019.220133014 425524.960100238)))
2nd rowMULTIPOLYGON (((239202.680025854 420391.528111775,239194.168131402 420387.898102772,239173.183125312 420377.489029355,239156.100134973 420369.258086291,239153.317006584 420368.432129545,239150.457123722 420367.590969108,239148.264055211 420366.995965109,239146.358146057 420366.510094017,239144.630969682 420366.284059911,239141.631055521 420366.364973155,239119.930073018 420367.951976544,239106.409138424 420368.473043563,239106.48601597 420378.475960684,239106.874049535 420377.806079132,239107.523978177 420377.216987527,239109.142966155 420376.735956552,239123.88612185 420374.496071266,239134.540961874 420373.096995833,239138.011966274 420372.806029349,239140.967982538 420372.663062198,239143.451087101 420372.734140613,239146.013091705 420372.947088527,239150.160133915 420373.516991668,239159.909018368 420376.363062062,239171.661130195 420381.728985619,239195.688035129 420393.029983361,239200.803145917 420396.180009876,239201.334110756 420396.694979552,239202.680025854 420391.528111775)))
3rd rowMULTIPOLYGON (((234918.799974233 419159.290047665,234918.549977175 419151.419992603,234918.469980826 419151.490008712,234911.89997073 419151.510032353,234910.871771187 419151.541026991,234911.2500424 419159.330010882,234918.799974233 419159.290047665)))
4th rowMULTIPOLYGON (((227152.170075302 423857.000080455,227149.662998272 423854.881011733,227149.539975118 423855.030037105,227148.839989565 423855.550030276,227148.269980876 423855.660124867,227146.868981376 423855.817136239,227149.55713322 423860.331145154,227152.170075302 423857.000080455)))
5th rowMULTIPOLYGON (((234423.357014886 415070.11104782,234414.16994249 415060.969267157,234408.692603062 415066.445595184,234418.618997982 415075.644021007,234423.357014886 415070.11104782)))
ValueCountFrequency (%)
multipolygon 10000
 
6.8%
422744.050959253 3
 
< 0.1%
236827.006035143 3
 
< 0.1%
243095.31892579 3
 
< 0.1%
235200.361995998 3
 
< 0.1%
424329.525130788 3
 
< 0.1%
422241.326993002 3
 
< 0.1%
235691.703989231 3
 
< 0.1%
237784.350046709 3
 
< 0.1%
236511.561961651 3
 
< 0.1%
Other values (136288) 137545
93.2%
2023-12-12T18:28:25.690201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 488417
10.9%
4 469424
10.5%
0 435957
9.7%
9 401999
9.0%
1 395191
8.8%
3 385055
8.6%
6 312679
7.0%
5 307867
6.9%
7 302533
6.8%
8 294283
6.6%
Other values (15) 686518
15.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3793405
84.7%
Other Punctuation 372741
 
8.3%
Space Separator 137572
 
3.1%
Uppercase Letter 120000
 
2.7%
Open Punctuation 30001
 
0.7%
Close Punctuation 26204
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 488417
12.9%
4 469424
12.4%
0 435957
11.5%
9 401999
10.6%
1 395191
10.4%
3 385055
10.2%
6 312679
8.2%
5 307867
8.1%
7 302533
8.0%
8 294283
7.8%
Uppercase Letter
ValueCountFrequency (%)
O 20000
16.7%
L 20000
16.7%
U 10000
8.3%
N 10000
8.3%
G 10000
8.3%
Y 10000
8.3%
P 10000
8.3%
I 10000
8.3%
T 10000
8.3%
M 10000
8.3%
Other Punctuation
ValueCountFrequency (%)
. 255121
68.4%
, 117620
31.6%
Space Separator
ValueCountFrequency (%)
137572
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30001
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26204
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4359923
97.3%
Latin 120000
 
2.7%

Most frequent character per script

Common
ValueCountFrequency (%)
2 488417
11.2%
4 469424
10.8%
0 435957
10.0%
9 401999
9.2%
1 395191
9.1%
3 385055
8.8%
6 312679
7.2%
5 307867
7.1%
7 302533
6.9%
8 294283
6.7%
Other values (5) 566518
13.0%
Latin
ValueCountFrequency (%)
O 20000
16.7%
L 20000
16.7%
U 10000
8.3%
N 10000
8.3%
G 10000
8.3%
Y 10000
8.3%
P 10000
8.3%
I 10000
8.3%
T 10000
8.3%
M 10000
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4479923
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 488417
10.9%
4 469424
10.5%
0 435957
9.7%
9 401999
9.0%
1 395191
8.8%
3 385055
8.6%
6 312679
7.0%
5 307867
6.9%
7 302533
6.8%
8 294283
6.6%
Other values (15) 686518
15.3%

지형지물부호
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
차도포장
10000 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
차도포장 10000
100.0%

Length

2023-12-12T18:28:25.880224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:28:26.003045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
차도포장 10000
100.0%

관리번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6990.9257
Minimum1
Maximum13970
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T18:28:26.134292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile698.95
Q13482.75
median6972.5
Q310526.25
95-th percentile13266.1
Maximum13970
Range13969
Interquartile range (IQR)7043.5

Descriptive statistics

Standard deviation4047.7644
Coefficient of variation (CV)0.57900263
Kurtosis-1.2102335
Mean6990.9257
Median Absolute Deviation (MAD)3525.5
Skewness-0.0018820088
Sum69909257
Variance16384396
MonotonicityNot monotonic
2023-12-12T18:28:26.295643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6349 1
 
< 0.1%
1122 1
 
< 0.1%
11499 1
 
< 0.1%
9617 1
 
< 0.1%
1139 1
 
< 0.1%
1992 1
 
< 0.1%
9228 1
 
< 0.1%
840 1
 
< 0.1%
8340 1
 
< 0.1%
12341 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
10 1
< 0.1%
11 1
< 0.1%
15 1
< 0.1%
ValueCountFrequency (%)
13970 1
< 0.1%
13969 1
< 0.1%
13968 1
< 0.1%
13966 1
< 0.1%
13965 1
< 0.1%
13964 1
< 0.1%
13963 1
< 0.1%
13962 1
< 0.1%
13961 1
< 0.1%
13959 1
< 0.1%

행정읍면동
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
대전광역시 유성구
3215 
대전광역시 동구
2312 
대전광역시 대덕구
2126 
대전광역시 서구
1928 
대전광역시 중구
419 

Length

Max length9
Median length9
Mean length8.5341
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대전광역시 유성구
2nd row대전광역시 대덕구
3rd row대전광역시 서구
4th row대전광역시 유성구
5th row대전광역시 서구

Common Values

ValueCountFrequency (%)
대전광역시 유성구 3215
32.1%
대전광역시 동구 2312
23.1%
대전광역시 대덕구 2126
21.3%
대전광역시 서구 1928
19.3%
대전광역시 중구 419
 
4.2%

Length

2023-12-12T18:28:26.474201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:28:26.593269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대전광역시 10000
50.0%
유성구 3215
 
16.1%
동구 2312
 
11.6%
대덕구 2126
 
10.6%
서구 1928
 
9.6%
중구 419
 
2.1%

도엽번호
Real number (ℝ)

HIGH CORRELATION 

Distinct69
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36710074
Minimum36709090
Maximum36711061
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T18:28:26.745507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36709090
5-th percentile36710016
Q136710033
median36710056
Q336710067
95-th percentile36710083
Maximum36711061
Range1971
Interquartile range (IQR)34

Descriptive statistics

Standard deviation160.33522
Coefficient of variation (CV)4.3676082 × 10-6
Kurtosis32.379587
Mean36710074
Median Absolute Deviation (MAD)14
Skewness5.4996362
Sum3.6710074 × 1011
Variance25707.383
MonotonicityNot monotonic
2023-12-12T18:28:26.930210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36710056 976
 
9.8%
36710027 548
 
5.5%
36710026 540
 
5.4%
36710066 499
 
5.0%
36710068 460
 
4.6%
36710069 405
 
4.0%
36710067 391
 
3.9%
36710036 376
 
3.8%
36710037 321
 
3.2%
36710070 312
 
3.1%
Other values (59) 5172
51.7%
ValueCountFrequency (%)
36709090 7
 
0.1%
36710005 20
 
0.2%
36710006 188
1.9%
36710010 4
 
< 0.1%
36710015 88
0.9%
36710016 206
2.1%
36710017 160
1.6%
36710018 28
 
0.3%
36710019 129
1.3%
36710020 30
 
0.3%
ValueCountFrequency (%)
36711061 10
 
0.1%
36711051 133
1.3%
36711042 24
 
0.2%
36711041 39
 
0.4%
36711032 45
 
0.4%
36711031 4
 
< 0.1%
36710094 24
 
0.2%
36710093 19
 
0.2%
36710090 42
 
0.4%
36710089 22
 
0.2%

도로구간번호
Real number (ℝ)

Distinct7227
Distinct (%)72.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60819.161
Minimum774
Maximum135580
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T18:28:27.093297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum774
5-th percentile7115.95
Q115163.5
median42567
Q3108994
95-th percentile130470.3
Maximum135580
Range134806
Interquartile range (IQR)93830.5

Descriptive statistics

Standard deviation44873.341
Coefficient of variation (CV)0.73781585
Kurtosis-1.4895948
Mean60819.161
Median Absolute Deviation (MAD)33062
Skewness0.28897349
Sum6.0819161 × 108
Variance2.0136167 × 109
MonotonicityNot monotonic
2023-12-12T18:28:27.257727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41367 143
 
1.4%
5187 69
 
0.7%
36378 61
 
0.6%
36873 29
 
0.3%
37110 24
 
0.2%
41350 21
 
0.2%
38584 21
 
0.2%
41606 20
 
0.2%
105744 18
 
0.2%
26879 17
 
0.2%
Other values (7217) 9577
95.8%
ValueCountFrequency (%)
774 1
 
< 0.1%
788 1
 
< 0.1%
799 1
 
< 0.1%
1048 1
 
< 0.1%
1246 2
< 0.1%
1271 3
< 0.1%
1281 1
 
< 0.1%
1590 1
 
< 0.1%
1682 1
 
< 0.1%
1683 1
 
< 0.1%
ValueCountFrequency (%)
135580 1
< 0.1%
135573 1
< 0.1%
135568 1
< 0.1%
135561 1
< 0.1%
135553 1
< 0.1%
135547 1
< 0.1%
135541 2
< 0.1%
135529 1
< 0.1%
135514 1
< 0.1%
135510 2
< 0.1%

면적
Real number (ℝ)

Distinct9063
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean466.18198
Minimum1.79
Maximum44102.66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T18:28:27.414752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.79
5-th percentile15.0295
Q156.82
median154.75
Q3431.315
95-th percentile1773.804
Maximum44102.66
Range44100.87
Interquartile range (IQR)374.495

Descriptive statistics

Standard deviation1186.5547
Coefficient of variation (CV)2.5452607
Kurtosis279.69304
Mean466.18198
Median Absolute Deviation (MAD)122.09
Skewness12.265759
Sum4661819.8
Variance1407912
MonotonicityNot monotonic
2023-12-12T18:28:27.585609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.96 5
 
0.1%
21.83 4
 
< 0.1%
35.19 4
 
< 0.1%
82.79 4
 
< 0.1%
127.63 4
 
< 0.1%
12.45 4
 
< 0.1%
16.17 4
 
< 0.1%
47.43 4
 
< 0.1%
17.46 4
 
< 0.1%
70.41 3
 
< 0.1%
Other values (9053) 9960
99.6%
ValueCountFrequency (%)
1.79 1
< 0.1%
2.44 1
< 0.1%
2.63 1
< 0.1%
2.74 1
< 0.1%
2.75 1
< 0.1%
2.79 1
< 0.1%
2.82 1
< 0.1%
3.02 2
< 0.1%
3.03 1
< 0.1%
3.3 1
< 0.1%
ValueCountFrequency (%)
44102.66000000001 1
< 0.1%
27744.58 1
< 0.1%
22250.81 1
< 0.1%
20424.24 1
< 0.1%
19934.78 1
< 0.1%
18382.95 1
< 0.1%
18136.94 1
< 0.1%
17808.7 1
< 0.1%
17146.28 1
< 0.1%
16950.38 1
< 0.1%

포장종류
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
아스팔트콘크리트
6140 
콘크리트
1442 
미분류
1426 
블록
668 
비포장
 
324

Length

Max length8
Median length8
Mean length6.1474
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row블록
2nd row아스팔트콘크리트
3rd row블록
4th row아스팔트콘크리트
5th row아스팔트콘크리트

Common Values

ValueCountFrequency (%)
아스팔트콘크리트 6140
61.4%
콘크리트 1442
 
14.4%
미분류 1426
 
14.3%
블록 668
 
6.7%
비포장 324
 
3.2%

Length

2023-12-12T18:28:27.721111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:28:27.867571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
아스팔트콘크리트 6140
61.4%
콘크리트 1442
 
14.4%
미분류 1426
 
14.3%
블록 668
 
6.7%
비포장 324
 
3.2%

대장초기화여부
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
10000 

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 10000
100.0%

Length

2023-12-12T18:28:28.011527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:28:28.115157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 10000
100.0%

Interactions

2023-12-12T18:28:23.424965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:28:21.569447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:28:22.098023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:28:22.744979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:28:23.550366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:28:21.689587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:28:22.242469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:28:22.953116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:28:23.703762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:28:21.858433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:28:22.431468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:28:23.123864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:28:23.837111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:28:21.987919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:28:22.591688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:28:23.283315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:28:28.179531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리번호행정읍면동도엽번호도로구간번호면적포장종류
관리번호1.0000.9370.4690.7270.0500.626
행정읍면동0.9371.0000.3640.7000.0180.502
도엽번호0.4690.3641.0000.4080.0890.085
도로구간번호0.7270.7000.4081.0000.0670.507
면적0.0500.0180.0890.0671.0000.032
포장종류0.6260.5020.0850.5070.0321.000
2023-12-12T18:28:28.284739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
포장종류행정읍면동
포장종류1.0000.207
행정읍면동0.2071.000
2023-12-12T18:28:28.386168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리번호도엽번호도로구간번호면적행정읍면동포장종류
관리번호1.0000.699-0.144-0.0270.6610.308
도엽번호0.6991.000-0.1100.0200.2430.052
도로구간번호-0.144-0.1101.000-0.2320.3630.234
면적-0.0270.020-0.2321.0000.0110.019
행정읍면동0.6610.2430.3630.0111.0000.207
포장종류0.3080.0520.2340.0190.2071.000

Missing values

2023-12-12T18:28:24.006427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:28:24.239746image/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)지형지물부호관리번호행정읍면동도엽번호도로구간번호면적포장종류대장초기화여부
6348MULTIPOLYGON (((235019.220133014 425524.960100238,235014.589047095 425516.988105635,234978.489028265 425533.667042778,234976.559130345 425530.013085052,234976.028105289 425529.97411781,234968.107953334 425533.327125842,234975.740004013 425548.040144811,234977.169993834 425543.990021312,235015.270077088 425523.950008214,235019.220133014 425524.960100238)))차도포장6349대전광역시 유성구36710026112794427.65블록1
2110MULTIPOLYGON (((239202.680025854 420391.528111775,239194.168131402 420387.898102772,239173.183125312 420377.489029355,239156.100134973 420369.258086291,239153.317006584 420368.432129545,239150.457123722 420367.590969108,239148.264055211 420366.995965109,239146.358146057 420366.510094017,239144.630969682 420366.284059911,239141.631055521 420366.364973155,239119.930073018 420367.951976544,239106.409138424 420368.473043563,239106.48601597 420378.475960684,239106.874049535 420377.806079132,239107.523978177 420377.216987527,239109.142966155 420376.735956552,239123.88612185 420374.496071266,239134.540961874 420373.096995833,239138.011966274 420372.806029349,239140.967982538 420372.663062198,239143.451087101 420372.734140613,239146.013091705 420372.947088527,239150.160133915 420373.516991668,239159.909018368 420376.363062062,239171.661130195 420381.728985619,239195.688035129 420393.029983361,239200.803145917 420396.180009876,239201.334110756 420396.694979552,239202.680025854 420391.528111775)))차도포장2111대전광역시 대덕구36710048115228565.26아스팔트콘크리트1
11863MULTIPOLYGON (((234918.799974233 419159.290047665,234918.549977175 419151.419992603,234918.469980826 419151.490008712,234911.89997073 419151.510032353,234910.871771187 419151.541026991,234911.2500424 419159.330010882,234918.799974233 419159.290047665)))차도포장11864대전광역시 서구367100564136759.47블록1
4332MULTIPOLYGON (((227152.170075302 423857.000080455,227149.662998272 423854.881011733,227149.539975118 423855.030037105,227148.839989565 423855.550030276,227148.269980876 423855.660124867,227146.868981376 423855.817136239,227149.55713322 423860.331145154,227152.170075302 423857.000080455)))차도포장4333대전광역시 유성구3671003313019613.91아스팔트콘크리트1
12123MULTIPOLYGON (((234423.357014886 415070.11104782,234414.16994249 415060.969267157,234408.692603062 415066.445595184,234418.618997982 415075.644021007,234423.357014886 415070.11104782)))차도포장12124대전광역시 서구36710066918399.44아스팔트콘크리트1
7119MULTIPOLYGON (((242788.730074168 415730.680072398,242787.439995391 415729.890059782,242785.400045934 415728.470096595,242781.750059537 415717.789975343,242780.380128484 415713.25011567,242779.840129575 415711.850114301,242779.050125602 415710.430011927,242777.330127217 415708.350014923,242775.759971717 415706.699979836,242774.459982645 415705.350072019,242773.680129091 415704.249961589,242773.070103251 415703.120116019,242772.770111915 415702.59013442,242766.190128621 415700.909991079,242766.400102579 415701.010120044,242768.009959502 415701.870015954,242769.100106452 415702.629981996,242769.840132033 415703.499986267,242770.440062973 415704.569953557,242771.129998578 415705.840073304,242772.150103926 415707.259964934,242773.590126003 415708.770066384,242775.090064391 415710.340103658,242776.5701087 415712.120129629,242777.119980102 415713.120007632,242777.550081251 415714.220110241,242778.890109296 415718.699989195,242782.730135489 415729.93013244,242782.810085357 415730.14003718,242782.409974906 415732.7200차도포장7120대전광역시 동구3671007079706106.83아스팔트콘크리트1
7534MULTIPOLYGON (((241618.88230899 414847.092072033,241610.661492689 414833.652247234,241601.923726941 414838.406356981,241605.590004464 414844.640112816,241610.412868203 414851.999334932,241618.88230899 414847.092072033)))차도포장7535대전광역시 동구3671006921884158.19아스팔트콘크리트1
827MULTIPOLYGON (((235131.466325717 428803.878935741,235128.232418097 428795.626645505,235124.418069451 428797.173535532,235117.896990611 428800.856708705,235122.379947086 428808.778131749,235131.466325717 428803.878935741)))차도포장828대전광역시 유성구3671001610821100.05비포장1
12946MULTIPOLYGON (((228911.489949775 410180.500129435,228910.389722138 410158.296313107,228868.281680858 410157.703066699,228887.987068568 410180.499987233,228911.489949775 410180.500129435)))차도포장12947대전광역시 서구3671008313744735.05아스팔트콘크리트1
10086MULTIPOLYGON (((238178.260491878 417203.607211904,238174.320058271 417195.820083283,238172.520027275 417197.610147211,238169.920003329 417200.56997861,238168.710084082 417201.730022346,238166.640072109 417202.140095871,238175.496024338 417205.788157526,238178.260491878 417203.607211904)))차도포장10087대전광역시 대덕구3671005811105952.1아스팔트콘크리트1
지리정보(WKT)지형지물부호관리번호행정읍면동도엽번호도로구간번호면적포장종류대장초기화여부
7762MULTIPOLYGON (((241109.540142863 413049.080119157,241108.399019664 413049.279110529,241098.928047034 413047.54903317,241093.293619581 413046.132511298,241091.212795613 413044.084673202,241091.297046969 413049.714851691,241104.015072381 413051.688108714,241109.938016209 413052.661128626,241109.540142863 413049.080119157)))차도포장7763대전광역시 동구367100796311565.13아스팔트콘크리트1
4204MULTIPOLYGON (((226688.70710952 421378.563011016,226687.170058789 421378.409992406,226684.84013106 421376.430106653,226682.610116503 421374.049970641,226682.500130641 421373.304089587,226674.749970818 421377.810064461,226675.930057581 421377.8499884,226679.769956377 421379.02995419,226683.679956112 421381.510026346,226688.70710952 421378.563011016)))차도포장4205대전광역시 유성구3671004213131546.77아스팔트콘크리트1
699MULTIPOLYGON (((234341.458060326 427678.246016375,234341.64001108 427677.460023967,234341.999961334 427676.380028559,234342.600107393 427674.510140917,234332.153975817 427677.727980197,234332.199010305 427680.851145876,234341.458060326 427678.246016375)))차도포장700대전광역시 유성구3671002611238432.1아스팔트콘크리트1
6155MULTIPOLYGON (((236323.089993796 424756.920131622,236322.670024984 424756.860030871,236322.499966461 424756.780015845,236318.290030842 424751.920029186,236304.270029449 424732.860049024,236295.500046403 424720.970032606,236282.200028551 424702.609982171,236278.700300139 424698.212872475,236271.532914808 424702.984699379,236276.13999231 424711.209985051,236282.30000524 424721.429968427,236287.329991695 424728.529962046,236294.810023944 424737.890013227,236299.910010217 424743.760042223,236304.310000625 424754.359973992,236305.75995042 424755.319994759,236306.129957284 424755.889955359,236306.229998144 424761.48997445,236305.859972006 424765.499977384,236305.589964681 424766.290017764,236305.429994226 424766.580013624,236305.270141417 424766.770067241,236323.089993796 424756.920131622)))차도포장6156대전광역시 유성구3671003710542821.56아스팔트콘크리트1
11635MULTIPOLYGON (((235037.548964127 418878.066036933,235025.805981087 418872.240007751,235025.216008432 418871.837984382,235024.846003959 418871.556950479,235024.748951882 418870.747002401,235025.061040525 418870.194980782,235026.047037634 418869.522993641,235037.784989578 418864.295973743,235034.611975026 418862.025991629,235034.474026256 418862.836024227,235021.839004864 418869.317039919,235021.974028453 418873.344959397,235035.541018342 418879.591002595,235035.5309847 418880.428008352,235037.548964127 418878.066036933)))차도포장11636대전광역시 서구36710056518780.09블록1
4308MULTIPOLYGON (((227885.24195977 423101.452009496,227879.350960386 423103.756077314,227879.201972144 423106.214136961,227878.17012508 423123.485038844,227877.566129789 423125.753063129,227876.77998355 423131.319127672,227876.703057472 423131.56903423,227880.284989217 423133.68806733,227880.696081326 423132.196970213,227881.493050315 423126.5501278,227882.139076304 423124.125055234,227883.193998999 423106.45510537,227883.24298759 423105.650021311,227884.593986199 423102.476084375,227885.24195977 423101.452009496)))차도포장4309대전광역시 유성구36710033130179122.25콘크리트1
7979MULTIPOLYGON (((243413.633095113 415135.846066885,243413.254078948 415135.584994069,243410.730133725 415133.851993198,243397.549048192 415125.480015663,243387.834044705 415119.552018666,243381.383042427 415115.873072574,243369.611015317 415109.505052585,243366.769965301 415108.075145301,243352.701022051 415100.839075703,243350.048062621 415099.601024301,243343.320000102 415095.562089485,243339.146973746 415092.738089913,243334.688981441 415088.915981984,243330.34702788 415084.477004576,243324.277049096 415077.072001978,243320.613086482 415071.801965951,243317.298057316 415066.612968679,243312.887004863 415059.130105921,243307.746050325 415048.432067834,243298.66504045 415029.710965796,243292.655067989 415015.847055268,243290.695075396 415011.307144594,243278.525969964 414983.171975577,243268.07697976 414957.28807935,243265.155958207 414950.041020971,243263.942057092 414947.249129188,243262.642961763 414944.294125949,243258.073016618 414945.252126365,243259.818145405 414949.051002946,243261.003963835 414951.77차도포장7980대전광역시 동구36710070556051151.88아스팔트콘크리트1
38MULTIPOLYGON (((236929.378978298 427725.750995818,236921.360083224 427726.880125301,236925.870087011 427741.880138748,236934.23202958 427741.928092646,236929.430123756 427725.920133502,236929.378978298 427725.750995818)))차도포장39대전광역시 대덕구36710027108439130.21아스팔트콘크리트1
7512MULTIPOLYGON (((241002.259954589 414923.119993584,240996.879979591 414920.089975141,240995.569961576 414922.170007393,240994.109961317 414923.460021768,240992.729963286 414924.349976022,240987.37997417 414928.949022469,240987.276978965 414929.190995166,240985.212049794 414929.894028564,240950.140039664 414938.909986625,240949.550035051 414940.389979492,240952.728036502 414947.196656374,240991.609987455 414940.060003884,241002.690035784 414928.210024667,240999.59004669 414925.199997888,241001.520045045 414923.349969495,241002.259954589 414923.119993584)))차도포장7513대전광역시 동구367100699823548.28아스팔트콘크리트1
5823MULTIPOLYGON (((234739.160038454 424787.139989602,234739.010047837 424787.009957282,234738.040021591 424785.67996563,234715.550026816 424790.660017344,234722.130011135 424796.669961066,234739.160038454 424787.139989602)))차도포장5824대전광역시 유성구3671003611556101.7아스팔트콘크리트1