Overview

Dataset statistics

Number of variables14
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 MiB
Average record size in memory125.0 B

Variable types

Text5
Categorical5
Numeric4

Dataset

Description대전광역시 도로관리시스템에 등재되어있는 도로용지 현황 자료입니다. (지리정보가 포함되어있는 데이터입니다.)
Author대전광역시
URLhttps://www.data.go.kr/data/15110446/fileData.do

Alerts

지형지물부호 has constant value ""Constant
대장초기화 has constant value ""Constant
관리번호 is highly overall correlated with 노선번호High correlation
노선번호 is highly overall correlated with 관리번호 and 1 other fieldsHigh correlation
연장 is highly overall correlated with 도로종류 and 2 other fieldsHigh correlation
도로종류 is highly overall correlated with 연장 and 2 other fieldsHigh correlation
도로기능 is highly overall correlated with 노선번호 and 3 other fieldsHigh correlation
도로규모 is highly overall correlated with 연장 and 2 other fieldsHigh correlation
지리정보(WKT) has unique valuesUnique
관리번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:55:03.581256
Analysis finished2023-12-12 21:55:07.882070
Duration4.3 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
2023-12-13T06:55:08.539221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length938
Mean length356.9099
Min length108

Characters and Unicode

Total characters3569099
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 (((243199.9276 416094.9822,243202.5675 416100.9922,243200.6364 416107.6611,243201.3464 416111.0111,243201.8453 416114.1011,243203.9352 416120.2411,243204.5641 416127.721100001,243208.975 416132.641100001,243211.3339 416138.7611,243223.1757 416145.4312,243222.2446 416151.371200001,243218.9935 416156.700099999,243229.3643 416164.7212,243234.4332 416172.781199999,243241.344 416181.371300001,243243.9039 416185.3413,243238.5819 416188.871200001,243240.7218 416195.121200001,243247.8116 416202.631200001,243252.8714 416212.691199999,243254.8325 416207.951300001,243258.1935 416202.602399999,243261.5046 416199.8125,243255.3747 416192.112400001,243248.6049 416181.7424,243245.0851 416174.442399999,243239.3163 416163.0824,243238.5563 416159.692399999,243239.9574 416155.9224,243237.0675 416151.522399999,243238.1686 416145.4825,243237.9586 416144.772500001,243259.9336 416131.254899999,243266.2879 416114.6961,243245.594 416111.3048,243240.3453 416095.8748,243250.3283 416091.285,243247.1684 416085.845000001,24321
2nd rowMULTIPOLYGON (((241712.046 426683.853,241676.3737 426652.569700001,241666.8816 426663.8894,241666.4626 426666.351399999,241668.3556 426665.760399999,241699.7049 426696.059699999,241703.3229 426690.2268,241712.046 426683.853)))
3rd rowMULTIPOLYGON (((241287.6683 404232.924000001,241306.528 404244.600199999,241318.2798 404255.212300001,241327.1757 404258.4334,241337.9386 404257.3356,241321.6888 404254.441299999,241306.5021 404242.7322,241287.6683 404232.924000001)))
4th rowMULTIPOLYGON (((241396.3946 409699.2215,241405.9485 409701.852600001,241417.5814 409704.2248,241425.7953 409707.013900001,241434.7664 409697.0121,241440.2985 409691.1972,241449.2786 409681.9834,241460.4306 409671.2917,241471.6857 409664.1239,241476.7237 409660.852,241475.2307 409659.372,241467.0597 409664.3258,241455.1006 409675.1436,241448.9486 409681.079399999,241436.5065 409693.260199999,241430.2455 409696.895,241424.4504 409699.889900001,241418.2275 409700.4758,241398.6087 409695.0886,241397.1197 409697.8695,241396.7567 409698.545499999,241396.3946 409699.2215)))
5th rowMULTIPOLYGON (((242476.7524 413861.598200001,242475.3045 413853.404200001,242473.9317 413844.7502,242472.5608 413839.849199999,242471.3799 413831.496300001,242471.215 413827.055299999,242472.1952 413812.238399999,242472.9873 413802.502499999,242473.5324 413795.737600001,242471.9276 413786.331599999,242471.8018 413775.9527,242472.3189 413770.1587,242473.9889 413765.626800001,242477.179 413761.516899999,242479.533 413759.310900001,242484.0 413755.211999999,242487.996 413750.881100001,242489.6511 413746.5451,242487.9783 413737.564200001,242483.4415 413726.802200001,242481.2326 413716.588199999,242480.0397 413711.098200001,242480.1319 413700.1303,242481.5791 413685.1884,242487.3273 413672.3026,242489.6934 413663.5777,242489.4135 413659.480699999,242485.5735 413660.6127,242486.0614 413663.0857,242483.5673 413672.1116,242479.4151 413683.8784,242478.0649 413699.7073,242475.5117 413712.428200001,242478.6505 413722.983100001,242481.1044 413731.0791,242483.3893 413737.425100001,242487.0311 413747.645099999,242481.4551
ValueCountFrequency (%)
multipolygon 10000
 
6.7%
4 28
 
< 0.1%
41 11
 
< 0.1%
42 6
 
< 0.1%
417 4
 
< 0.1%
426759.122199999 3
 
< 0.1%
427051.506200001 3
 
< 0.1%
239920.6737 3
 
< 0.1%
240111.3969 3
 
< 0.1%
424984.0963 3
 
< 0.1%
Other values (138854) 139617
93.3%
2023-12-13T06:55:09.136065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 387978
10.9%
2 374451
10.5%
9 365204
10.2%
0 322186
9.0%
1 301964
8.5%
3 269455
7.5%
. 259411
7.3%
7 225623
 
6.3%
8 216849
 
6.1%
6 205774
 
5.8%
Other values (15) 640204
17.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2872258
80.5%
Other Punctuation 379504
 
10.6%
Space Separator 139716
 
3.9%
Uppercase Letter 120000
 
3.4%
Open Punctuation 30018
 
0.8%
Close Punctuation 27603
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 387978
13.5%
2 374451
13.0%
9 365204
12.7%
0 322186
11.2%
1 301964
10.5%
3 269455
9.4%
7 225623
7.9%
8 216849
7.5%
6 205774
7.2%
5 202774
7.1%
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 (%)
. 259411
68.4%
, 120093
31.6%
Space Separator
ValueCountFrequency (%)
139716
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30018
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27603
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3449099
96.6%
Latin 120000
 
3.4%

Most frequent character per script

Common
ValueCountFrequency (%)
4 387978
11.2%
2 374451
10.9%
9 365204
10.6%
0 322186
9.3%
1 301964
8.8%
3 269455
7.8%
. 259411
7.5%
7 225623
6.5%
8 216849
6.3%
6 205774
 
6.0%
Other values (5) 520204
15.1%
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 3569099
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 387978
10.9%
2 374451
10.5%
9 365204
10.2%
0 322186
9.0%
1 301964
8.5%
3 269455
7.5%
. 259411
7.3%
7 225623
 
6.3%
8 216849
 
6.1%
6 205774
 
5.8%
Other values (15) 640204
17.9%

지형지물부호
Categorical

CONSTANT 

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

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
도로용지 10000
100.0%

Length

2023-12-13T06:55:09.274614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:55:09.356081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도로용지 10000
100.0%

관리번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8233.5602
Minimum2
Maximum16402
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T06:55:09.454773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile841.95
Q14150.5
median8252.5
Q312321.25
95-th percentile15594.05
Maximum16402
Range16400
Interquartile range (IQR)8170.75

Descriptive statistics

Standard deviation4732.099
Coefficient of variation (CV)0.57473303
Kurtosis-1.2015811
Mean8233.5602
Median Absolute Deviation (MAD)4080
Skewness-0.0080327731
Sum82335602
Variance22392761
MonotonicityNot monotonic
2023-12-13T06:55:09.590906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12554 1
 
< 0.1%
5835 1
 
< 0.1%
9394 1
 
< 0.1%
789 1
 
< 0.1%
5746 1
 
< 0.1%
1766 1
 
< 0.1%
5533 1
 
< 0.1%
1154 1
 
< 0.1%
2375 1
 
< 0.1%
15865 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
2 1
< 0.1%
3 1
< 0.1%
6 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
12 1
< 0.1%
13 1
< 0.1%
17 1
< 0.1%
18 1
< 0.1%
21 1
< 0.1%
ValueCountFrequency (%)
16402 1
< 0.1%
16401 1
< 0.1%
16398 1
< 0.1%
16396 1
< 0.1%
16393 1
< 0.1%
16392 1
< 0.1%
16391 1
< 0.1%
16390 1
< 0.1%
16389 1
< 0.1%
16387 1
< 0.1%

노선번호
Real number (ℝ)

HIGH CORRELATION 

Distinct1839
Distinct (%)18.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4122.0246
Minimum1
Maximum9358
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T06:55:09.729111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile70.95
Q1443.5
median1460
Q38308
95-th percentile9078.05
Maximum9358
Range9357
Interquartile range (IQR)7864.5

Descriptive statistics

Standard deviation3937.6073
Coefficient of variation (CV)0.9552605
Kurtosis-1.8920064
Mean4122.0246
Median Absolute Deviation (MAD)1386
Skewness0.22599533
Sum41220246
Variance15504751
MonotonicityNot monotonic
2023-12-13T06:55:09.858436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8140 512
 
5.1%
233 268
 
2.7%
74 264
 
2.6%
8194 156
 
1.6%
2 148
 
1.5%
8174 138
 
1.4%
219 136
 
1.4%
81 135
 
1.4%
131 130
 
1.3%
28 123
 
1.2%
Other values (1829) 7990
79.9%
ValueCountFrequency (%)
1 76
0.8%
2 148
1.5%
3 12
 
0.1%
4 2
 
< 0.1%
5 1
 
< 0.1%
6 8
 
0.1%
7 4
 
< 0.1%
11 1
 
< 0.1%
13 3
 
< 0.1%
14 1
 
< 0.1%
ValueCountFrequency (%)
9358 23
0.2%
9357 12
0.1%
9356 1
 
< 0.1%
9353 3
 
< 0.1%
9352 13
0.1%
9351 1
 
< 0.1%
9350 9
 
0.1%
9349 1
 
< 0.1%
9348 11
0.1%
9347 1
 
< 0.1%

노선명
Text

Distinct944
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T06:55:10.148434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length5.8301
Min length3

Characters and Unicode

Total characters58301
Distinct characters168
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique210 ?
Unique (%)2.1%

Sample

1st row통영대전고속도로
2nd row대청호수로
3rd row산내로675번길
4th row산서로1586번길
5th row통영대전고속도로
ValueCountFrequency (%)
경부고속도로 588
 
5.9%
대청호수로 443
 
4.4%
대전로 373
 
3.7%
산내로 360
 
3.6%
계족로 209
 
2.1%
신탄진로 184
 
1.8%
옥천로 180
 
1.8%
통영대전고속도로 148
 
1.5%
갑천도시고속도로 138
 
1.4%
금산로 129
 
1.3%
Other values (934) 7248
72.5%
2023-12-13T06:55:10.718946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 8990
 
15.4%
길 5045
 
8.7%
번 4046
 
6.9%
대 2743
 
4.7%
1 2491
 
4.3%
5 1562
 
2.7%
3 1502
 
2.6%
2 1484
 
2.5%
산 1274
 
2.2%
동 1203
 
2.1%
Other values (158) 27961
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 46228
79.3%
Decimal Number 12073
 
20.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 8990
19.4%
길 5045
 
10.9%
번 4046
 
8.8%
대 2743
 
5.9%
산 1274
 
2.8%
동 1203
 
2.6%
전 1160
 
2.5%
도 1149
 
2.5%
고 984
 
2.1%
속 940
 
2.0%
Other values (148) 18694
40.4%
Decimal Number
ValueCountFrequency (%)
1 2491
20.6%
5 1562
12.9%
3 1502
12.4%
2 1484
12.3%
7 1063
8.8%
4 1015
8.4%
6 886
 
7.3%
0 807
 
6.7%
8 658
 
5.5%
9 605
 
5.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 46228
79.3%
Common 12073
 
20.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 8990
19.4%
길 5045
 
10.9%
번 4046
 
8.8%
대 2743
 
5.9%
산 1274
 
2.8%
동 1203
 
2.6%
전 1160
 
2.5%
도 1149
 
2.5%
고 984
 
2.1%
속 940
 
2.0%
Other values (148) 18694
40.4%
Common
ValueCountFrequency (%)
1 2491
20.6%
5 1562
12.9%
3 1502
12.4%
2 1484
12.3%
7 1063
8.8%
4 1015
8.4%
6 886
 
7.3%
0 807
 
6.7%
8 658
 
5.5%
9 605
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 46228
79.3%
ASCII 12073
 
20.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 8990
19.4%
길 5045
 
10.9%
번 4046
 
8.8%
대 2743
 
5.9%
산 1274
 
2.8%
동 1203
 
2.6%
전 1160
 
2.5%
도 1149
 
2.5%
고 984
 
2.1%
속 940
 
2.0%
Other values (148) 18694
40.4%
ASCII
ValueCountFrequency (%)
1 2491
20.6%
5 1562
12.9%
3 1502
12.4%
2 1484
12.3%
7 1063
8.8%
4 1015
8.4%
6 886
 
7.3%
0 807
 
6.7%
8 658
 
5.5%
9 605
 
5.0%

도로종류
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
면/리간 도로
4330 
지방도
3765 
일반국도
889 
고속국도
802 
시도중 일반도로
 
119
Other values (2)
 
95

Length

Max length8
Median length7
Mean length4.9597
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row고속국도
2nd row지방도
3rd row면/리간 도로
4th row면/리간 도로
5th row고속국도

Common Values

ValueCountFrequency (%)
면/리간 도로 4330
43.3%
지방도 3765
37.6%
일반국도 889
 
8.9%
고속국도 802
 
8.0%
시도중 일반도로 119
 
1.2%
미분류 86
 
0.9%
기타 9
 
0.1%

Length

2023-12-13T06:55:10.888663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:55:11.018363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
면/리간 4330
30.0%
도로 4330
30.0%
지방도 3765
26.1%
일반국도 889
 
6.2%
고속국도 802
 
5.6%
시도중 119
 
0.8%
일반도로 119
 
0.8%
미분류 86
 
0.6%
기타 9
 
0.1%

도로기능
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
미분류
5045 
집산도로
4056 
기타
802 
보조간선도로
 
97

Length

Max length6
Median length3
Mean length3.3545
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기타
2nd row집산도로
3rd row미분류
4th row미분류
5th row기타

Common Values

ValueCountFrequency (%)
미분류 5045
50.4%
집산도로 4056
40.6%
기타 802
 
8.0%
보조간선도로 97
 
1.0%

Length

2023-12-13T06:55:11.176085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:55:11.288568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미분류 5045
50.4%
집산도로 4056
40.6%
기타 802
 
8.0%
보조간선도로 97
 
1.0%

도로규모
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
소로3류
4451 
중로1류
1307 
광로3류
1072 
소로2류
789 
중로3류
624 
Other values (6)
1757 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대로2류
2nd row중로1류
3rd row소로3류
4th row소로3류
5th row대로2류

Common Values

ValueCountFrequency (%)
소로3류 4451
44.5%
중로1류 1307
 
13.1%
광로3류 1072
 
10.7%
소로2류 789
 
7.9%
중로3류 624
 
6.2%
광로2류 593
 
5.9%
소로1류 403
 
4.0%
중로2류 307
 
3.1%
대로3류 211
 
2.1%
대로2류 165
 
1.7%

Length

2023-12-13T06:55:11.429481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
소로3류 4451
44.5%
중로1류 1307
 
13.1%
광로3류 1072
 
10.7%
소로2류 789
 
7.9%
중로3류 624
 
6.2%
광로2류 593
 
5.9%
소로1류 403
 
4.0%
중로2류 307
 
3.1%
대로3류 211
 
2.1%
대로2류 165
 
1.7%

시점
Text

Distinct630
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T06:55:11.745653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length24
Mean length9.1045
Min length5

Characters and Unicode

Total characters91045
Distinct characters109
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique107 ?
Unique (%)1.1%

Sample

1st row경남 통영시 용남면(통영IC)/ 동달리 1410-23구
2nd row이현동산1-4도
3rd row상소동1032-5천
4th row대별동 373도
5th row경남 통영시 용남면(통영IC)/ 동달리 1410-23구
ValueCountFrequency (%)
부산 588
 
4.3%
금정구(구서ic 588
 
4.3%
하소동산47목 358
 
2.6%
삼정동389천 295
 
2.1%
구도동164-51도 231
 
1.7%
가양동 204
 
1.5%
효동252-1도 193
 
1.4%
읍내동519-6철 184
 
1.3%
인동341-12도 180
 
1.3%
홍도동 163
 
1.2%
Other values (684) 10758
78.3%
2023-12-13T06:55:12.286932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 9446
 
10.4%
도 6507
 
7.1%
1 5940
 
6.5%
- 5573
 
6.1%
2 4638
 
5.1%
4 4595
 
5.0%
3 4086
 
4.5%
3742
 
4.1%
5 3737
 
4.1%
7 2998
 
3.3%
Other values (99) 39783
43.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 43982
48.3%
Decimal Number 34232
37.6%
Dash Punctuation 5573
 
6.1%
Space Separator 3742
 
4.1%
Uppercase Letter 1604
 
1.8%
Close Punctuation 838
 
0.9%
Open Punctuation 838
 
0.9%
Other Punctuation 236
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 9446
21.5%
도 6507
 
14.8%
구 2192
 
5.0%
산 1842
 
4.2%
정 1623
 
3.7%
신 1155
 
2.6%
대 1012
 
2.3%
서 926
 
2.1%
삼 916
 
2.1%
천 830
 
1.9%
Other values (81) 17533
39.9%
Decimal Number
ValueCountFrequency (%)
1 5940
17.4%
2 4638
13.5%
4 4595
13.4%
3 4086
11.9%
5 3737
10.9%
7 2998
8.8%
6 2503
7.3%
8 2190
 
6.4%
0 1816
 
5.3%
9 1729
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
C 802
50.0%
I 736
45.9%
J 66
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 5573
100.0%
Space Separator
ValueCountFrequency (%)
3742
100.0%
Close Punctuation
ValueCountFrequency (%)
) 838
100.0%
Open Punctuation
ValueCountFrequency (%)
( 838
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 236
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 45459
49.9%
Hangul 43982
48.3%
Latin 1604
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 9446
21.5%
도 6507
 
14.8%
구 2192
 
5.0%
산 1842
 
4.2%
정 1623
 
3.7%
신 1155
 
2.6%
대 1012
 
2.3%
서 926
 
2.1%
삼 916
 
2.1%
천 830
 
1.9%
Other values (81) 17533
39.9%
Common
ValueCountFrequency (%)
1 5940
13.1%
- 5573
12.3%
2 4638
10.2%
4 4595
10.1%
3 4086
9.0%
3742
8.2%
5 3737
8.2%
7 2998
6.6%
6 2503
5.5%
8 2190
 
4.8%
Other values (5) 5457
12.0%
Latin
ValueCountFrequency (%)
C 802
50.0%
I 736
45.9%
J 66
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 47063
51.7%
Hangul 43982
48.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 9446
21.5%
도 6507
 
14.8%
구 2192
 
5.0%
산 1842
 
4.2%
정 1623
 
3.7%
신 1155
 
2.6%
대 1012
 
2.3%
서 926
 
2.1%
삼 916
 
2.1%
천 830
 
1.9%
Other values (81) 17533
39.9%
ASCII
ValueCountFrequency (%)
1 5940
12.6%
- 5573
11.8%
2 4638
9.9%
4 4595
9.8%
3 4086
8.7%
3742
8.0%
5 3737
7.9%
7 2998
6.4%
6 2503
 
5.3%
8 2190
 
4.7%
Other values (8) 7061
15.0%

종점
Text

Distinct726
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T06:55:12.623415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length26
Mean length9.0286
Min length5

Characters and Unicode

Total characters90286
Distinct characters107
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique126 ?
Unique (%)1.3%

Sample

1st row대전 동구 신상동(비룡JC)/ 비룡동 209-10도
2nd row삼정동산27-4임
3rd row상소동807전
4th row낭월동 288-1제
5th row대전 동구 신상동(비룡JC)/ 비룡동 209-10도
ValueCountFrequency (%)
서울 588
 
4.3%
서초구(한남ic 588
 
4.3%
대성동282-17천 372
 
2.7%
직동산77-4도 295
 
2.2%
삼성동458도 260
 
1.9%
가양동 257
 
1.9%
용전동227도 193
 
1.4%
삼성동 192
 
1.4%
신탄진동756천 184
 
1.3%
신상동산10-3도 180
 
1.3%
Other values (770) 10588
77.3%
2023-12-13T06:55:13.105661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 9748
 
10.8%
1 5984
 
6.6%
2 5717
 
6.3%
- 5657
 
6.3%
도 5494
 
6.1%
3697
 
4.1%
7 3650
 
4.0%
3 3465
 
3.8%
4 3050
 
3.4%
5 2991
 
3.3%
Other values (97) 40833
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 43764
48.5%
Decimal Number 33824
37.5%
Dash Punctuation 5657
 
6.3%
Space Separator 3697
 
4.1%
Uppercase Letter 1506
 
1.7%
Close Punctuation 801
 
0.9%
Open Punctuation 801
 
0.9%
Other Punctuation 236
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 9748
22.3%
도 5494
 
12.6%
대 1829
 
4.2%
산 1527
 
3.5%
서 1392
 
3.2%
구 1324
 
3.0%
신 1241
 
2.8%
성 1233
 
2.8%
천 1192
 
2.7%
삼 890
 
2.0%
Other values (79) 17894
40.9%
Decimal Number
ValueCountFrequency (%)
1 5984
17.7%
2 5717
16.9%
7 3650
10.8%
3 3465
10.2%
4 3050
9.0%
5 2991
8.8%
6 2905
8.6%
8 2603
7.7%
0 1990
 
5.9%
9 1469
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
C 753
50.0%
I 588
39.0%
J 165
 
11.0%
Dash Punctuation
ValueCountFrequency (%)
- 5657
100.0%
Space Separator
ValueCountFrequency (%)
3697
100.0%
Close Punctuation
ValueCountFrequency (%)
) 801
100.0%
Open Punctuation
ValueCountFrequency (%)
( 801
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 236
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 45016
49.9%
Hangul 43764
48.5%
Latin 1506
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 9748
22.3%
도 5494
 
12.6%
대 1829
 
4.2%
산 1527
 
3.5%
서 1392
 
3.2%
구 1324
 
3.0%
신 1241
 
2.8%
성 1233
 
2.8%
천 1192
 
2.7%
삼 890
 
2.0%
Other values (79) 17894
40.9%
Common
ValueCountFrequency (%)
1 5984
13.3%
2 5717
12.7%
- 5657
12.6%
3697
8.2%
7 3650
8.1%
3 3465
7.7%
4 3050
6.8%
5 2991
6.6%
6 2905
6.5%
8 2603
5.8%
Other values (5) 5297
11.8%
Latin
ValueCountFrequency (%)
C 753
50.0%
I 588
39.0%
J 165
 
11.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 46522
51.5%
Hangul 43764
48.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 9748
22.3%
도 5494
 
12.6%
대 1829
 
4.2%
산 1527
 
3.5%
서 1392
 
3.2%
구 1324
 
3.0%
신 1241
 
2.8%
성 1233
 
2.8%
천 1192
 
2.7%
삼 890
 
2.0%
Other values (79) 17894
40.9%
ASCII
ValueCountFrequency (%)
1 5984
12.9%
2 5717
12.3%
- 5657
12.2%
3697
7.9%
7 3650
7.8%
3 3465
7.4%
4 3050
6.6%
5 2991
6.4%
6 2905
6.2%
8 2603
 
5.6%
Other values (8) 6803
14.6%

연장
Real number (ℝ)

HIGH CORRELATION 

Distinct716
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35990.61
Minimum0
Maximum423200
Zeros89
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T06:55:13.278635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile75
Q1346
median1293
Q314158
95-th percentile423200
Maximum423200
Range423200
Interquartile range (IQR)13812

Descriptive statistics

Standard deviation102591.01
Coefficient of variation (CV)2.8504937
Kurtosis9.2437962
Mean35990.61
Median Absolute Deviation (MAD)1185
Skewness3.2804219
Sum3.599061 × 108
Variance1.0524915 × 1010
MonotonicityNot monotonic
2023-12-13T06:55:13.440078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
423200.0 588
 
5.9%
20200.0 443
 
4.4%
49852.0 373
 
3.7%
14158.0 358
 
3.6%
7230.0 204
 
2.0%
394.0 189
 
1.9%
31054.0 180
 
1.8%
215250.0 148
 
1.5%
17340.0 138
 
1.4%
35226.0 129
 
1.3%
Other values (706) 7250
72.5%
ValueCountFrequency (%)
0.0 89
0.9%
6.0 1
 
< 0.1%
6.99 1
 
< 0.1%
7.0 3
 
< 0.1%
8.0 3
 
< 0.1%
10.19 1
 
< 0.1%
13.0 1
 
< 0.1%
15.0 2
 
< 0.1%
15.37 1
 
< 0.1%
17.0 5
 
0.1%
ValueCountFrequency (%)
423200.0 588
5.9%
278650.0 49
 
0.5%
215250.0 148
 
1.5%
144561.0 23
 
0.2%
53970.0 5
 
0.1%
49852.0 373
3.7%
35226.0 129
 
1.3%
31054.0 180
 
1.8%
25784.0 98
 
1.0%
20200.0 443
4.4%

면적
Real number (ℝ)

Distinct8512
Distinct (%)85.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean781.55008
Minimum0.07
Maximum150685.41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T06:55:13.576248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.07
5-th percentile4.3
Q129.5375
median90.36
Q3382.26
95-th percentile3453.797
Maximum150685.41
Range150685.34
Interquartile range (IQR)352.7225

Descriptive statistics

Standard deviation3254.4169
Coefficient of variation (CV)4.1640542
Kurtosis595.20684
Mean781.55008
Median Absolute Deviation (MAD)78.945
Skewness18.191696
Sum7815500.8
Variance10591229
MonotonicityNot monotonic
2023-12-13T06:55:13.762983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.0 7
 
0.1%
3.65 6
 
0.1%
7.12 6
 
0.1%
5.01 6
 
0.1%
68.57 5
 
0.1%
6.64 4
 
< 0.1%
25.2 4
 
< 0.1%
5.18 4
 
< 0.1%
7.68 4
 
< 0.1%
9.92 4
 
< 0.1%
Other values (8502) 9950
99.5%
ValueCountFrequency (%)
0.07 1
 
< 0.1%
0.09 1
 
< 0.1%
0.1 3
< 0.1%
0.11 2
< 0.1%
0.12 2
< 0.1%
0.16 2
< 0.1%
0.17 1
 
< 0.1%
0.18 1
 
< 0.1%
0.2 1
 
< 0.1%
0.31 2
< 0.1%
ValueCountFrequency (%)
150685.41 1
< 0.1%
95636.24 1
< 0.1%
63741.53 1
< 0.1%
57465.65 1
< 0.1%
57264.34 1
< 0.1%
56432.71 1
< 0.1%
49539.45 1
< 0.1%
48288.46 1
< 0.1%
44473.04 1
< 0.1%
44243.0 1
< 0.1%

지번
Text

Distinct8332
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T06:55:14.164736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length6.2519
Min length2

Characters and Unicode

Total characters62519
Distinct characters14
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

Unique7075 ?
Unique (%)70.8%

Sample

1st row27도
2nd row154-1도
3rd row125-5도
4th row73-1도
5th row415도
ValueCountFrequency (%)
도 2174
 
17.9%
536도 7
 
0.1%
713도 6
 
< 0.1%
222-2도 6
 
< 0.1%
101-1도 5
 
< 0.1%
254-2도 5
 
< 0.1%
9-1도 5
 
< 0.1%
153도 5
 
< 0.1%
539도 5
 
< 0.1%
721도 5
 
< 0.1%
Other values (8323) 9952
81.7%
2023-12-13T06:55:14.769156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
도 10000
16.0%
- 8940
14.3%
1 7202
11.5%
2 6397
10.2%
3 5389
8.6%
4 4262
6.8%
5 3927
 
6.3%
6 3080
 
4.9%
7 2812
 
4.5%
8 2708
 
4.3%
Other values (4) 7802
12.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 40914
65.4%
Other Letter 10490
 
16.8%
Dash Punctuation 8940
 
14.3%
Space Separator 2175
 
3.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 7202
17.6%
2 6397
15.6%
3 5389
13.2%
4 4262
10.4%
5 3927
9.6%
6 3080
7.5%
7 2812
 
6.9%
8 2708
 
6.6%
0 2620
 
6.4%
9 2517
 
6.2%
Other Letter
ValueCountFrequency (%)
도 10000
95.3%
산 490
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 8940
100.0%
Space Separator
ValueCountFrequency (%)
2175
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 52029
83.2%
Hangul 10490
 
16.8%

Most frequent character per script

Common
ValueCountFrequency (%)
- 8940
17.2%
1 7202
13.8%
2 6397
12.3%
3 5389
10.4%
4 4262
8.2%
5 3927
7.5%
6 3080
 
5.9%
7 2812
 
5.4%
8 2708
 
5.2%
0 2620
 
5.0%
Other values (2) 4692
9.0%
Hangul
ValueCountFrequency (%)
도 10000
95.3%
산 490
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 52029
83.2%
Hangul 10490
 
16.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
도 10000
95.3%
산 490
 
4.7%
ASCII
ValueCountFrequency (%)
- 8940
17.2%
1 7202
13.8%
2 6397
12.3%
3 5389
10.4%
4 4262
8.2%
5 3927
7.5%
6 3080
 
5.9%
7 2812
 
5.4%
8 2708
 
5.2%
0 2620
 
5.0%
Other values (2) 4692
9.0%

대장초기화
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

2023-12-13T06:55:14.917238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:55:14.998851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 10000
100.0%

Interactions

2023-12-13T06:55:07.053996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:55:05.561850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:55:06.073478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:55:06.582309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:55:07.170700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:55:05.682152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:55:06.207635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:55:06.711471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:55:07.294257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:55:05.806339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:55:06.344701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:55:06.824625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:55:07.411312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:55:05.941022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:55:06.464318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:55:06.932847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:55:15.049823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리번호노선번호도로종류도로기능도로규모연장면적
관리번호1.0000.8130.1770.2370.4110.2260.023
노선번호0.8131.0000.4880.5790.7150.3510.034
도로종류0.1770.4881.0000.8030.7710.7400.075
도로기능0.2370.5790.8031.0000.8640.7490.143
도로규모0.4110.7150.7710.8641.0000.8360.108
연장0.2260.3510.7400.7490.8361.0000.093
면적0.0230.0340.0750.1430.1080.0931.000
2023-12-13T06:55:15.152556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도로규모도로기능도로종류
도로규모1.0000.7320.525
도로기능0.7321.0000.702
도로종류0.5250.7021.000
2023-12-13T06:55:15.251794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리번호노선번호연장면적도로종류도로기능도로규모
관리번호1.000-0.7340.044-0.0850.0900.1440.188
노선번호-0.7341.000-0.421-0.0600.3400.5060.496
연장0.044-0.4211.0000.2360.5580.5860.630
면적-0.085-0.0600.2361.0000.0260.0980.053
도로종류0.0900.3400.5580.0261.0000.7020.525
도로기능0.1440.5060.5860.0980.7021.0000.732
도로규모0.1880.4960.6300.0530.5250.7321.000

Missing values

2023-12-13T06:55:07.590676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:55:07.780528image/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)지형지물부호관리번호노선번호노선명도로종류도로기능도로규모시점종점연장면적지번대장초기화
12553MULTIPOLYGON (((243199.9276 416094.9822,243202.5675 416100.9922,243200.6364 416107.6611,243201.3464 416111.0111,243201.8453 416114.1011,243203.9352 416120.2411,243204.5641 416127.721100001,243208.975 416132.641100001,243211.3339 416138.7611,243223.1757 416145.4312,243222.2446 416151.371200001,243218.9935 416156.700099999,243229.3643 416164.7212,243234.4332 416172.781199999,243241.344 416181.371300001,243243.9039 416185.3413,243238.5819 416188.871200001,243240.7218 416195.121200001,243247.8116 416202.631200001,243252.8714 416212.691199999,243254.8325 416207.951300001,243258.1935 416202.602399999,243261.5046 416199.8125,243255.3747 416192.112400001,243248.6049 416181.7424,243245.0851 416174.442399999,243239.3163 416163.0824,243238.5563 416159.692399999,243239.9574 416155.9224,243237.0675 416151.522399999,243238.1686 416145.4825,243237.9586 416144.772500001,243259.9336 416131.254899999,243266.2879 416114.6961,243245.594 416111.3048,243240.3453 416095.8748,243250.3283 416091.285,243247.1684 416085.845000001,24321도로용지125542통영대전고속도로고속국도기타대로2류경남 통영시 용남면(통영IC)/ 동달리 1410-23구대전 동구 신상동(비룡JC)/ 비룡동 209-10도215250.07212.6127도1
5958MULTIPOLYGON (((241712.046 426683.853,241676.3737 426652.569700001,241666.8816 426663.8894,241666.4626 426666.351399999,241668.3556 426665.760399999,241699.7049 426696.059699999,241703.3229 426690.2268,241712.046 426683.853)))도로용지59598174대청호수로지방도집산도로중로1류이현동산1-4도삼정동산27-4임20200.0744.51154-1도1
9371MULTIPOLYGON (((241287.6683 404232.924000001,241306.528 404244.600199999,241318.2798 404255.212300001,241327.1757 404258.4334,241337.9386 404257.3356,241321.6888 404254.441299999,241306.5021 404242.7322,241287.6683 404232.924000001)))도로용지93721182산내로675번길면/리간 도로미분류소로3류상소동1032-5천상소동807전1170.087.53125-5도1
8781MULTIPOLYGON (((241396.3946 409699.2215,241405.9485 409701.852600001,241417.5814 409704.2248,241425.7953 409707.013900001,241434.7664 409697.0121,241440.2985 409691.1972,241449.2786 409681.9834,241460.4306 409671.2917,241471.6857 409664.1239,241476.7237 409660.852,241475.2307 409659.372,241467.0597 409664.3258,241455.1006 409675.1436,241448.9486 409681.079399999,241436.5065 409693.260199999,241430.2455 409696.895,241424.4504 409699.889900001,241418.2275 409700.4758,241398.6087 409695.0886,241397.1197 409697.8695,241396.7567 409698.545499999,241396.3946 409699.2215)))도로용지87821221산서로1586번길면/리간 도로미분류소로3류대별동 373도낭월동 288-1제528.0255.0173-1도1
12683MULTIPOLYGON (((242476.7524 413861.598200001,242475.3045 413853.404200001,242473.9317 413844.7502,242472.5608 413839.849199999,242471.3799 413831.496300001,242471.215 413827.055299999,242472.1952 413812.238399999,242472.9873 413802.502499999,242473.5324 413795.737600001,242471.9276 413786.331599999,242471.8018 413775.9527,242472.3189 413770.1587,242473.9889 413765.626800001,242477.179 413761.516899999,242479.533 413759.310900001,242484.0 413755.211999999,242487.996 413750.881100001,242489.6511 413746.5451,242487.9783 413737.564200001,242483.4415 413726.802200001,242481.2326 413716.588199999,242480.0397 413711.098200001,242480.1319 413700.1303,242481.5791 413685.1884,242487.3273 413672.3026,242489.6934 413663.5777,242489.4135 413659.480699999,242485.5735 413660.6127,242486.0614 413663.0857,242483.5673 413672.1116,242479.4151 413683.8784,242478.0649 413699.7073,242475.5117 413712.428200001,242478.6505 413722.983100001,242481.1044 413731.0791,242483.3893 413737.425100001,242487.0311 413747.645099999,242481.4551도로용지126842통영대전고속도로고속국도기타대로2류경남 통영시 용남면(통영IC)/ 동달리 1410-23구대전 동구 신상동(비룡JC)/ 비룡동 209-10도215250.0643.17415도1
2310MULTIPOLYGON (((238181.8752 427781.6349,238182.5649 427802.910700001,238183.2955 427825.4616,238183.3965 427828.636600001,238183.9952 427847.407400001,238184.41 427860.395400001,238184.4809 427862.7423,238184.5579 427865.305299999,238184.7738 427872.4333,238188.4277 427876.519300001,238192.3847 427876.5964,238188.8277 427873.0823,238188.6089 427866.2324,238188.387 427859.2544,238188.311 427856.8584,238188.0092 427847.4145,238187.4134 427828.730599999,238187.3105 427825.5066,238186.5899 427802.880799999,238186.0481 427785.8989,238190.2242 427781.592,238189.3512 427781.586999999,238181.8752 427781.6349)))도로용지23118821석봉북로12번길면/리간 도로미분류소로3류석봉동751도석봉동751도150.0389.61188-26 도1
11072MULTIPOLYGON (((242418.2876 423786.200099999,242386.9767 423852.849199999,242389.2368 423850.0692,242396.5369 423835.5495,242413.0473 423805.399900001,242421.8875 423788.460200001,242418.2876 423786.200099999)))도로용지11073233대청호수로지방도집산도로중로1류삼정동389천직동산77-4도20200.0174.0181-3 도1
1644MULTIPOLYGON (((237680.5014 426841.466600001,237679.6839 426807.0518,237665.8136 426768.6698,237663.412 426747.227,237657.195 426750.673800001,237647.786 426753.2577,237644.489 426755.751599999,237639.962 426759.830499999,237638.3067 426774.224400001,237630.4007 426777.8982,237625.2948 426777.8621,237622.0277 426781.595100001,237619.0867 426782.955,237624.3505 426798.163000001,237623.1824 426804.8949,237619.897 426828.001700001,237618.2188 426840.953600001,237616.7968 426847.3685,237619.2235 426861.0515,237630.8944 426866.0726,237632.5103 426870.3836,237635.0133 426869.7437,237638.0641 426879.9496,237648.747 426883.7588,237658.6919 426880.393999999,237668.3529 426881.5371,237673.9667 426888.868100001,237682.1359 426874.1404,237683.0069 426872.2974,237681.7619 426871.112400001,237678.113 426867.779300001,237675.6882 426858.2744,237672.3033 426848.7974,237673.9454 426844.7114,237680.5014 426841.466600001)))도로용지16458140경부고속도로고속국도기타광로2류부산 금정구(구서IC)서울 서초구(한남IC)423200.06359.59산12-4도1
16309MULTIPOLYGON (((241896.9375 417694.5319,241900.9584 417694.415999999,241904.9264 417694.332,241940.8062 417693.5736,241949.7061 417696.4487,241956.6682 417685.6779,241963.0594 417672.3331,241963.2095 417663.563100001,241964.9397 417649.3783,241965.1127 417646.4803,241965.7898 417644.726299999,241967.3989 417638.750399999,241968.5899 417635.0154,241967.2391 417623.171499999,241967.7731 417621.966499999,241938.2652 417627.624,241937.7372 417630.551999999,241942.447 417638.338,241936.5159 417646.9618,241928.4399 417652.4597,241912.344 417651.339400001,241893.8151 417654.5341,241875.3732 417658.3188,241864.7662 417663.5536,241882.0938 417679.1088,241889.3816 417691.388800001,241889.7235 417694.7388,241896.9375 417694.5319)))도로용지1631075신상로지방도집산도로광로3류비룡동산15-14도신상동산3-4도7252.04170.18364-6도1
13730MULTIPOLYGON (((242656.6227 416647.460899999,242642.4954 416671.5996,242637.7319 416703.121300001,242631.8468 416715.315099999,242636.5068 416712.3752,242641.2768 416708.0123,242641.6388 416706.2093,242644.0999 416702.648399999,242647.24 416697.066500001,242649.389 416695.2925,242652.399 416689.2256,242656.7462 416674.7138,242658.2224 416662.151900001,242658.1256 416653.763900001,242656.6227 416647.460899999)))도로용지1373175신상로지방도집산도로광로3류비룡동산15-14도신상동산3-4도7252.0625.66194-3도1
지리정보(WKT)지형지물부호관리번호노선번호노선명도로종류도로기능도로규모시점종점연장면적지번대장초기화
5525MULTIPOLYGON (((239373.8345 424048.1905,239384.9444 424046.912699999,239404.6813 424043.654999999,239419.1132 424041.3982,239436.1782 424038.729499999,239433.2492 424036.3595,239429.2844 424027.943499999,239415.6694 424029.9362,239413.7085 424030.361199999,239403.0945 424032.663000001,239383.2556 424035.2227,239364.0957 424037.8544,239357.4787 424037.7063,239349.8348 424037.5352,239339.5869 424036.503,239326.549 424033.4978,239379.5164 424050.7665,239373.8345 424048.1905)))도로용지55269095장동로228번길지방도미분류중로2류장동349-2도장동201-2도533.0898.21343-4도1
13489MULTIPOLYGON (((241345.4334 403946.630799999,241338.0105 403941.7677,241312.9219 403925.5834,241311.8559 403927.137399999,241313.0079 403929.092399999,241346.0613 403949.4988,241345.4334 403946.630799999)))도로용지1349074산내로지방도집산도로광로3류하소동산47목대성동282-17천14158.0100.0179-2도1
146MULTIPOLYGON (((236815.3507 417594.7061,236816.4207 417593.656099999,236815.0008 417592.246099999,236803.074 417580.419,236801.31 417582.161,236800.94 417582.525,236812.8598 417594.347100001,236814.2807 417595.756100001,236815.3507 417594.7061)))도로용지1479319한밭대로988번길면/리간 도로미분류소로2류오정동707도오정동724도760.056.3683-14도1
10057MULTIPOLYGON (((241906.6541 408746.085899999,241907.204 408748.005899999,241921.444 408743.816199999,241935.674 408739.626399999,241935.104 408737.6964,241920.884 408741.8862,241906.6541 408746.085899999)))도로용지10058576석천로지방도집산도로중로3류낭월동 711낭월동 711137.1359.55828 도1
7788MULTIPOLYGON (((240359.8618 409881.085100001,240356.6098 409879.927100001,240339.5048 409886.8628,240341.7658 409887.2788,240358.9658 409881.2841,240359.8618 409881.085100001)))도로용지7789511이사로면/리간 도로집산도로소로3류대별동372구이사동산17임362.030.9761-26도1
10050MULTIPOLYGON (((239041.3653 415747.908500001,239053.4551 415757.399599999,239059.8632 415748.8498,239066.5723 415743.1599,239057.0135 415733.0788,239050.8044 415738.2587,239040.1344 415746.9385,239041.3653 415747.908500001)))도로용지10051593동광장로지방도집산도로중로1류신안동 315-1삼성동 148-1221366.74303.66148-33 도1
10623MULTIPOLYGON (((240480.8837 414907.7127,240480.5467 414904.149700001,240480.3318 414901.8937,240474.5239 414898.640699999,240473.8519 414896.921700001,240474.1008 414899.7027,240474.8567 414908.160599999,240474.9277 414908.9596,240475.1067 414911.078600001,240475.9287 414910.500600001,240478.5606 414911.4186,240480.8837 414907.7127)))도로용지10624924동대전로110번길면/리간 도로미분류소로3류대동 407-1도대동 28-11도1340.062.181-806도1
6821MULTIPOLYGON (((238793.7674 427373.691299999,238792.4485 427367.5913,238785.1786 427363.328199999,238779.8896 427363.213099999,238778.8356 427369.3331,238786.0455 427370.339199999,238793.7674 427373.691299999)))도로용지68228955신탄진로756번안길지방도미분류소로3류신탄진동745도용호동산9-2임2667.086.06277-2도1
8478MULTIPOLYGON (((240935.9177 415352.025800001,240937.2175 415359.9257,240940.0375 415358.945800001,240944.1373 415369.515799999,240995.4945 415530.375499999,241023.5729 415619.725299999,241023.4129 415619.7853,241040.5219 415674.315199999,241043.4817 415684.4352,241050.4313 415709.325099999,241051.2912 415712.8051,241055.101 415728.665100001,241055.5509 415729.955,241056.0209 415731.105,241056.4909 415732.125,241057.5209 415733.815099999,241059.8008 415737.2951,241060.3108 415737.905099999,241061.0008 415738.675100001,241061.6908 415739.405099999,241062.4707 415740.065099999,241063.3007 415740.675100001,241064.1507 415741.225099999,241065.0307 415741.725099999,241065.9407 415742.155099999,241066.8807 415742.5351,241067.8507 415742.8452,241068.8306 415743.085200001,241069.8106 415743.305199999,241070.8206 415743.4552,241071.8206 415743.5352,241072.8406 415743.555199999,241075.0406 415743.5353,241079.3206 415742.635299999,241082.0305 415743.9454,241083.7205 415745.0254,241080.7107 415732.5954,241078.0507 415736.도로용지8479410대학로지방도집산도로소로3류가양동688도용운동781도173.03167.22742도1
15429MULTIPOLYGON (((241039.5089 409060.421399999,241043.1125 409087.169299999,241048.6396 409074.4395,241049.6088 409063.821599999,241051.2759 409056.3926,241048.1442 409036.504699999,241041.5704 409026.150699999,241037.7573 409036.375600001,241039.9111 409051.899499999,241039.5089 409060.421399999)))도로용지15430280산서로지방도집산도로광로3류장척동산14-1임대성동266-5도17260.0481.61346-1도1