Overview

Dataset statistics

Number of variables14
Number of observations38
Missing cells10
Missing cells (%)1.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.6 KiB
Average record size in memory123.5 B

Variable types

Text2
Categorical6
Numeric6

Dataset

Description대전광역시 도로관리시스템에 등재된 고가도로 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/15110204/fileData.do

Alerts

지형지물부호 has constant value ""Constant
하부공_교대형식 has constant value ""Constant
하부공_교대기초형식 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 관리번호 and 1 other fieldsHigh correlation
총연장 is highly overall correlated with 왕복차로수High correlation
왕복차로수 is highly overall correlated with 총연장High correlation
일반제원_통행제한 높이 is highly overall correlated with 일반제원_허용통행하중High correlation
행정읍면동 is highly overall correlated with 관리번호 and 1 other fieldsHigh correlation
일반제원_허용통행하중 is highly overall correlated with 일반제원_통행제한 높이High correlation
고가도로명 has 10 (26.3%) missing valuesMissing
지리정보(WKT) has unique valuesUnique
관리번호 has unique valuesUnique
총연장 has 6 (15.8%) zerosZeros
왕복차로수 has 6 (15.8%) zerosZeros
일반제원_통행제한 높이 has 29 (76.3%) zerosZeros

Reproduction

Analysis started2023-12-12 03:27:15.462034
Analysis finished2023-12-12 03:27:21.585823
Duration6.12 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지리정보(WKT)
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-12T12:27:21.877714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length721.5
Mean length716.55263
Min length153

Characters and Unicode

Total characters27229
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

Unique38 ?
Unique (%)100.0%

Sample

1st rowMULTIPOLYGON (((227746.1601 413789.300100001,227743.8701 413781.0101,227688.4701 413797.1401,227690.6801 413805.450099999,227746.1601 413789.300100001)))
2nd rowMULTIPOLYGON (((231748.1201 409547.600099999,231726.9301 409534.1401,231690.3901 409593.790100001,231670.7201 409629.4201,231662.9201 409647.2301,231658.4301 409659.1302,231654.7001 409669.440199999,231651.3301 409679.0901,231648.9101 409688.800100001,231647.1801 409696.020099999,231644.7901 409706.8802,231643.1301 409716.4201,231641.5601 409728.280099999,231640.2701 409737.7402,231639.3901 409747.0002,231638.7001 409761.360099999,231638.6101 409777.4201,231663.9501 409775.8401,231663.8801 409761.540100001,231663.7201 409751.3901,231664.4801 409742.100099999,231666.2001 409727.4201,231668.4501 409713.770099999,231669.9901 409704.200099999,231672.4401 409694.850099999,231675.0901 409685.4201,231677.5601 409676.460100001,231680.9501 409667.4001,231684.4801 409658.3102,231688.2101 409649.3102,231692.0701 409641.2402,231696.3701 409631.870200001,231700.8801 409624.020099999,231705.8001 409615.3301,231712.9201 409603.1401,231721.5201 409590.270099999,231732.6401 409573.1401,231748.1201 409547.600099999)))
3rd rowMULTIPOLYGON (((233554.6075 415836.6414,233551.3301 415808.6401,233546.7401 415769.050100001,233542.3101 415729.520099999,233538.0401 415692.300100001,233533.3601 415651.6601,233529.5801 415619.120100001,233507.1301 415622.0601,233509.5501 415641.270099999,233514.1801 415681.9901,233520.1601 415731.200099999,233522.1701 415749.850099999,233526.4101 415785.6501,233528.3401 415804.7401,233531.1801 415831.190099999,233531.8611 415836.554,233532.721 415845.0,233533.632 415852.482000001,233534.754 415861.119000001,233536.005 415870.207,233537.593 415880.530999999,233539.633 415892.948000001,233541.867 415905.098999999,233544.089 415916.168,233546.732 415929.333000001,233549.257 415939.855,233552.108 415951.733999999,233555.119 415963.668,233557.952 415974.892999999,233558.849 415978.65,233561.508 415989.005000001,233564.063 415999.107999999,233566.593 416008.901000001,233569.143 416018.754000001,233571.695 416028.731000001,233573.733 416036.616,233576.633 416047.757999999,233578.951 416056.934,233581.372 416066.25
4th rowMULTIPOLYGON (((233813.8801 409179.620100001,233815.4001 409175.790100001,233828.5701 409142.3201,233832.2401 409133.800100001,233842.0301 409108.5801,233845.7901 409098.5001,233849.5401 409087.2401,233853.6701 409073.880100001,233858.7501 409056.270099999,233861.0401 409046.790100001,233863.8501 409035.120100001,233867.1401 409018.4001,233870.0901 409000.440099999,233872.1301 408982.7501,233873.2901 408971.1501,233874.4401 408956.940099999,233875.0101 408940.350099999,233875.1201 408915.720100001,233874.0401 408893.6401,233872.2201 408872.270099999,233871.2101 408862.710100001,233871.1901 408862.460100001,233853.8801 408864.290100001,233853.9101 408864.4901,233854.8901 408873.9201,233856.6701 408894.800100001,233857.7201 408916.110099999,233857.6101 408940.020099999,233857.0701 408955.940099999,233855.9601 408969.5801,233854.8301 408980.880100001,233852.8501 408998.040100001,233850.0101 409015.3101,233846.8501 409031.4101,233844.1301 409042.720100001,233841.9301 409051.8201,233837.0001 409068.9001,233832.970
5th rowMULTIPOLYGON (((233206.6321 412278.225099999,233210.9501 412267.2501,233216.4401 412253.700099999,233218.6901 412248.130100001,233195.9001 412238.9101,233191.8201 412248.720100001,233181.6401 412274.7601,233165.3601 412313.675100001,233145.2391 412362.8421,233133.0811 412392.2381,233121.7421 412420.712099999,233109.6151 412450.485099999,233097.2841 412480.676100001,233090.1221 412497.7631,233087.7581 412504.461100001,233085.6191 412508.0581,233108.6581 412517.5581,233130.0881 412465.8891,233143.5321 412432.689099999,233163.2411 412384.041099999,233180.8491 412340.8401,233188.3601 412322.5371,233206.6321 412278.225099999)))
ValueCountFrequency (%)
multipolygon 38
 
3.5%
416218.481899999,236630.6381 2
 
0.2%
416224.5699,236599.1681 2
 
0.2%
424163.860099999,237933.4601 1
 
0.1%
424099.600099999,237877.1201 1
 
0.1%
424104.100099999,237883.2601 1
 
0.1%
424108.0001,237885.9001 1
 
0.1%
424109.6801,237892.8001 1
 
0.1%
424114.8201,237900.0201 1
 
0.1%
424120.9901,237908.1101 1
 
0.1%
Other values (1044) 1044
95.5%
2023-12-12T12:27:22.484820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3710
13.6%
1 3552
13.0%
2 2619
9.6%
9 2521
9.3%
4 2209
8.1%
3 2166
8.0%
. 2036
7.5%
7 1514
 
5.6%
6 1484
 
5.5%
8 1385
 
5.1%
Other values (15) 4033
14.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 22510
82.7%
Other Punctuation 3022
 
11.1%
Space Separator 1055
 
3.9%
Uppercase Letter 456
 
1.7%
Open Punctuation 114
 
0.4%
Close Punctuation 72
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3710
16.5%
1 3552
15.8%
2 2619
11.6%
9 2521
11.2%
4 2209
9.8%
3 2166
9.6%
7 1514
6.7%
6 1484
 
6.6%
8 1385
 
6.2%
5 1350
 
6.0%
Uppercase Letter
ValueCountFrequency (%)
L 76
16.7%
O 76
16.7%
U 38
8.3%
N 38
8.3%
G 38
8.3%
Y 38
8.3%
P 38
8.3%
I 38
8.3%
T 38
8.3%
M 38
8.3%
Other Punctuation
ValueCountFrequency (%)
. 2036
67.4%
, 986
32.6%
Space Separator
ValueCountFrequency (%)
1055
100.0%
Open Punctuation
ValueCountFrequency (%)
( 114
100.0%
Close Punctuation
ValueCountFrequency (%)
) 72
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 26773
98.3%
Latin 456
 
1.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3710
13.9%
1 3552
13.3%
2 2619
9.8%
9 2521
9.4%
4 2209
8.3%
3 2166
8.1%
. 2036
7.6%
7 1514
5.7%
6 1484
 
5.5%
8 1385
 
5.2%
Other values (5) 3577
13.4%
Latin
ValueCountFrequency (%)
L 76
16.7%
O 76
16.7%
U 38
8.3%
N 38
8.3%
G 38
8.3%
Y 38
8.3%
P 38
8.3%
I 38
8.3%
T 38
8.3%
M 38
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 27229
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3710
13.6%
1 3552
13.0%
2 2619
9.6%
9 2521
9.3%
4 2209
8.1%
3 2166
8.0%
. 2036
7.5%
7 1514
 
5.6%
6 1484
 
5.5%
8 1385
 
5.1%
Other values (15) 4033
14.8%

지형지물부호
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
고가도로
38 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
고가도로 38
100.0%

Length

2023-12-12T12:27:22.709205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:27:22.852794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고가도로 38
100.0%

관리번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100020.18
Minimum100001
Maximum100039
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T12:27:23.006443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100001
5-th percentile100002.85
Q1100010.25
median100020.5
Q3100029.75
95-th percentile100037.15
Maximum100039
Range38
Interquartile range (IQR)19.5

Descriptive statistics

Standard deviation11.49584
Coefficient of variation (CV)0.0001149352
Kurtosis-1.2142409
Mean100020.18
Median Absolute Deviation (MAD)10
Skewness-0.044306483
Sum3800767
Variance132.15434
MonotonicityStrictly increasing
2023-12-12T12:27:23.227603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
100001 1
 
2.6%
100031 1
 
2.6%
100024 1
 
2.6%
100025 1
 
2.6%
100026 1
 
2.6%
100027 1
 
2.6%
100028 1
 
2.6%
100029 1
 
2.6%
100030 1
 
2.6%
100032 1
 
2.6%
Other values (28) 28
73.7%
ValueCountFrequency (%)
100001 1
2.6%
100002 1
2.6%
100003 1
2.6%
100004 1
2.6%
100005 1
2.6%
100006 1
2.6%
100007 1
2.6%
100008 1
2.6%
100009 1
2.6%
100010 1
2.6%
ValueCountFrequency (%)
100039 1
2.6%
100038 1
2.6%
100037 1
2.6%
100036 1
2.6%
100035 1
2.6%
100034 1
2.6%
100033 1
2.6%
100032 1
2.6%
100031 1
2.6%
100030 1
2.6%

행정읍면동
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size436.0 B
대전광역시 대덕구
14 
대전광역시 중구
10 
대전광역시 유성구
8 
대전광역시 서구
6 

Length

Max length10
Median length10
Mean length9.5789474
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대전광역시 대덕구 14
36.8%
대전광역시 중구 10
26.3%
대전광역시 유성구 8
21.1%
대전광역시 서구 6
15.8%

Length

2023-12-12T12:27:23.436677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:27:23.591119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대전광역시 38
50.0%
대덕구 14
 
18.4%
중구 10
 
13.2%
유성구 8
 
10.5%
서구 6
 
7.9%

도엽번호
Real number (ℝ)

HIGH CORRELATION 

Distinct20
Distinct (%)52.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36710058
Minimum36710017
Maximum36710086
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T12:27:24.116511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36710017
5-th percentile36710036
Q136710044
median36710059
Q336710072
95-th percentile36710078
Maximum36710086
Range69
Interquartile range (IQR)27.5

Descriptive statistics

Standard deviation16.807186
Coefficient of variation (CV)4.5783601 × 10-7
Kurtosis-0.55187943
Mean36710058
Median Absolute Deviation (MAD)15
Skewness-0.38807523
Sum1.3949822 × 109
Variance282.48151
MonotonicityNot monotonic
2023-12-12T12:27:24.284066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
36710037 6
15.8%
36710075 4
 
10.5%
36710059 4
 
10.5%
36710066 3
 
7.9%
36710067 3
 
7.9%
36710054 2
 
5.3%
36710044 2
 
5.3%
36710077 2
 
5.3%
36710053 1
 
2.6%
36710076 1
 
2.6%
Other values (10) 10
26.3%
ValueCountFrequency (%)
36710017 1
 
2.6%
36710028 1
 
2.6%
36710037 6
15.8%
36710043 1
 
2.6%
36710044 2
 
5.3%
36710047 1
 
2.6%
36710053 1
 
2.6%
36710054 2
 
5.3%
36710056 1
 
2.6%
36710057 1
 
2.6%
ValueCountFrequency (%)
36710086 1
 
2.6%
36710085 1
 
2.6%
36710077 2
5.3%
36710076 1
 
2.6%
36710075 4
10.5%
36710073 1
 
2.6%
36710067 3
7.9%
36710066 3
7.9%
36710065 1
 
2.6%
36710059 4
10.5%

도로구간번호
Real number (ℝ)

Distinct37
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20318.605
Minimum4925
Maximum42500
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T12:27:24.459091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4925
5-th percentile10710.3
Q113829.75
median14422.5
Q327631
95-th percentile41291
Maximum42500
Range37575
Interquartile range (IQR)13801.25

Descriptive statistics

Standard deviation10355.695
Coefficient of variation (CV)0.50966564
Kurtosis-0.41248275
Mean20318.605
Median Absolute Deviation (MAD)1055.5
Skewness0.99301059
Sum772107
Variance1.0724042 × 108
MonotonicityNot monotonic
2023-12-12T12:27:24.663847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
41291 2
 
5.3%
14046 1
 
2.6%
13783 1
 
2.6%
13823 1
 
2.6%
13792 1
 
2.6%
4925 1
 
2.6%
42500 1
 
2.6%
15685 1
 
2.6%
10824 1
 
2.6%
13850 1
 
2.6%
Other values (27) 27
71.1%
ValueCountFrequency (%)
4925 1
2.6%
10066 1
2.6%
10824 1
2.6%
13636 1
2.6%
13783 1
2.6%
13785 1
2.6%
13792 1
2.6%
13803 1
2.6%
13822 1
2.6%
13823 1
2.6%
ValueCountFrequency (%)
42500 1
2.6%
41291 2
5.3%
37125 1
2.6%
36231 1
2.6%
35426 1
2.6%
35416 1
2.6%
33929 1
2.6%
29525 1
2.6%
27632 1
2.6%
27628 1
2.6%

고가도로명
Text

MISSING 

Distinct19
Distinct (%)67.9%
Missing10
Missing (%)26.3%
Memory size436.0 B
2023-12-12T12:27:24.943348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length4
Mean length4.6071429
Min length3

Characters and Unicode

Total characters129
Distinct characters38
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)46.4%

Sample

1st row대정육교
2nd row고릿골구름다리
3rd row괴정육교
4th row안영고가교
5th row불티구름다리
ValueCountFrequency (%)
중촌고가교 3
 
10.7%
불티구름다리 3
 
10.7%
계룡육교 3
 
10.7%
대전육교 2
 
7.1%
가양대교 2
 
7.1%
와동육교 2
 
7.1%
당대가도교 1
 
3.6%
대정육교 1
 
3.6%
전민육교 1
 
3.6%
신성교 1
 
3.6%
Other values (9) 9
32.1%
2023-12-12T12:27:25.476972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 23
17.8%
육 14
 
10.9%
가 9
 
7.0%
대 8
 
6.2%
고 7
 
5.4%
리 5
 
3.9%
다 5
 
3.9%
구 5
 
3.9%
름 4
 
3.1%
전 4
 
3.1%
Other values (28) 45
34.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 129
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 23
17.8%
육 14
 
10.9%
가 9
 
7.0%
대 8
 
6.2%
고 7
 
5.4%
리 5
 
3.9%
다 5
 
3.9%
구 5
 
3.9%
름 4
 
3.1%
전 4
 
3.1%
Other values (28) 45
34.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 129
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 23
17.8%
육 14
 
10.9%
가 9
 
7.0%
대 8
 
6.2%
고 7
 
5.4%
리 5
 
3.9%
다 5
 
3.9%
구 5
 
3.9%
름 4
 
3.1%
전 4
 
3.1%
Other values (28) 45
34.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 129
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 23
17.8%
육 14
 
10.9%
가 9
 
7.0%
대 8
 
6.2%
고 7
 
5.4%
리 5
 
3.9%
다 5
 
3.9%
구 5
 
3.9%
름 4
 
3.1%
전 4
 
3.1%
Other values (28) 45
34.9%

총연장
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct30
Distinct (%)78.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean212.15
Minimum0
Maximum725
Zeros6
Zeros (%)15.8%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T12:27:25.661133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q145.4
median209.5
Q3298.625
95-th percentile505
Maximum725
Range725
Interquartile range (IQR)253.225

Descriptive statistics

Standard deviation178.27194
Coefficient of variation (CV)0.84031083
Kurtosis0.36456769
Mean212.15
Median Absolute Deviation (MAD)138.75
Skewness0.75412587
Sum8061.7
Variance31780.886
MonotonicityNot monotonic
2023-12-12T12:27:25.836725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0.0 6
 
15.8%
240.0 2
 
5.3%
505.0 2
 
5.3%
201.0 2
 
5.3%
57.7 1
 
2.6%
420.0 1
 
2.6%
41.0 1
 
2.6%
142.4 1
 
2.6%
191.0 1
 
2.6%
245.0 1
 
2.6%
Other values (20) 20
52.6%
ValueCountFrequency (%)
0.0 6
15.8%
16.5 1
 
2.6%
37.5 1
 
2.6%
41.0 1
 
2.6%
41.3 1
 
2.6%
57.7 1
 
2.6%
60.0 1
 
2.6%
67.5 1
 
2.6%
130.0 1
 
2.6%
142.4 1
 
2.6%
ValueCountFrequency (%)
725.0 1
2.6%
505.0 2
5.3%
483.0 1
2.6%
482.0 1
2.6%
420.0 1
2.6%
345.0 1
2.6%
337.5 1
2.6%
320.0 1
2.6%
301.5 1
2.6%
290.0 1
2.6%

왕복차로수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct6
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5263158
Minimum0
Maximum6
Zeros6
Zeros (%)15.8%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T12:27:26.010746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile6
Maximum6
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.8415159
Coefficient of variation (CV)0.72893336
Kurtosis-1.0096547
Mean2.5263158
Median Absolute Deviation (MAD)2
Skewness0.257393
Sum96
Variance3.3911807
MonotonicityNot monotonic
2023-12-12T12:27:26.154853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 12
31.6%
2 9
23.7%
1 7
18.4%
0 6
15.8%
6 3
 
7.9%
5 1
 
2.6%
ValueCountFrequency (%)
0 6
15.8%
1 7
18.4%
2 9
23.7%
4 12
31.6%
5 1
 
2.6%
6 3
 
7.9%
ValueCountFrequency (%)
6 3
 
7.9%
5 1
 
2.6%
4 12
31.6%
2 9
23.7%
1 7
18.4%
0 6
15.8%

일반제원_허용통행하중
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size436.0 B
0
29 
24
6 
3
3 

Length

Max length2
Median length1
Mean length1.1578947
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row24
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29
76.3%
24 6
 
15.8%
3 3
 
7.9%

Length

2023-12-12T12:27:26.348071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:27:26.525010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
76.3%
24 6
 
15.8%
3 3
 
7.9%

일반제원_통행제한 높이
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct6
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1631579
Minimum0
Maximum25
Zeros29
Zeros (%)76.3%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T12:27:26.663791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile16.11
Maximum25
Range25
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.4870524
Coefficient of variation (CV)2.0508152
Kurtosis3.3218246
Mean3.1631579
Median Absolute Deviation (MAD)0
Skewness2.0471135
Sum120.2
Variance42.081849
MonotonicityNot monotonic
2023-12-12T12:27:26.805543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.0 29
76.3%
8.0 3
 
7.9%
15.6 3
 
7.9%
25.0 1
 
2.6%
19.0 1
 
2.6%
5.4 1
 
2.6%
ValueCountFrequency (%)
0.0 29
76.3%
5.4 1
 
2.6%
8.0 3
 
7.9%
15.6 3
 
7.9%
19.0 1
 
2.6%
25.0 1
 
2.6%
ValueCountFrequency (%)
25.0 1
 
2.6%
19.0 1
 
2.6%
15.6 3
 
7.9%
8.0 3
 
7.9%
5.4 1
 
2.6%
0.0 29
76.3%

하부공_교대형식
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
미분류
38 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미분류 38
100.0%

Length

2023-12-12T12:27:26.980816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:27:27.130398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미분류 38
100.0%

하부공_교대기초형식
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
미분류
38 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미분류 38
100.0%

Length

2023-12-12T12:27:27.299168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:27:27.460184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미분류 38
100.0%

대장초기화여부
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
1
38 

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 38
100.0%

Length

2023-12-12T12:27:27.654727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:27:27.796883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 38
100.0%

Interactions

2023-12-12T12:27:20.262835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:27:16.025495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:27:16.943772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:27:17.781870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:27:18.660394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:27:19.508377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:27:20.395765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:27:16.188349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:27:17.087596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:27:17.936827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:27:18.836602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:27:19.656852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:27:20.527309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:27:16.348628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:27:17.236483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:27:18.096481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:27:18.962261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:27:19.800676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:27:20.663440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:27:16.508141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:27:17.384930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:27:18.233221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:27:19.119232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:27:19.922322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:27:20.817520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:27:16.660782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:27:17.524333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:27:18.377622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:27:19.254198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:27:20.031716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:27:20.953702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:27:16.807461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:27:17.651300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:27:18.524820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:27:19.370403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:27:20.144762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:27:27.877316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지리정보(WKT)관리번호행정읍면동도엽번호도로구간번호고가도로명총연장왕복차로수일반제원_허용통행하중일반제원_통행제한 높이
지리정보(WKT)1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
관리번호1.0001.0000.9260.7740.5510.9900.5420.6770.6880.720
행정읍면동1.0000.9261.0000.7890.5281.0000.6100.0000.2630.478
도엽번호1.0000.7740.7891.0000.3721.0000.5820.2330.0000.000
도로구간번호1.0000.5510.5280.3721.0000.9700.0000.5440.5970.650
고가도로명1.0000.9901.0001.0000.9701.0000.5140.8501.0000.899
총연장1.0000.5420.6100.5820.0000.5141.0000.6790.6010.000
왕복차로수1.0000.6770.0000.2330.5440.8500.6791.0000.6840.411
일반제원_허용통행하중1.0000.6880.2630.0000.5971.0000.6010.6841.0000.991
일반제원_통행제한 높이1.0000.7200.4780.0000.6500.8990.0000.4110.9911.000
2023-12-12T12:27:28.058658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정읍면동일반제원_허용통행하중
행정읍면동1.0000.244
일반제원_허용통행하중0.2441.000
2023-12-12T12:27:28.187756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리번호도엽번호도로구간번호총연장왕복차로수일반제원_통행제한 높이행정읍면동일반제원_허용통행하중
관리번호1.000-0.5230.065-0.427-0.406-0.2500.7220.479
도엽번호-0.5231.0000.2570.3080.1070.1080.5770.000
도로구간번호0.0650.2571.000-0.177-0.084-0.0370.2040.400
총연장-0.4270.308-0.1771.0000.6610.1990.2820.430
왕복차로수-0.4060.107-0.0840.6611.0000.2850.0000.347
일반제원_통행제한 높이-0.2500.108-0.0370.1990.2851.0000.3120.846
행정읍면동0.7220.5770.2040.2820.0000.3121.0000.244
일반제원_허용통행하중0.4790.0000.4000.4300.3470.8460.2441.000

Missing values

2023-12-12T12:27:21.149297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:27:21.461120image/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)지형지물부호관리번호행정읍면동도엽번호도로구간번호고가도로명총연장왕복차로수일반제원_허용통행하중일반제원_통행제한 높이하부공_교대형식하부공_교대기초형식대장초기화여부
0MULTIPOLYGON (((227746.1601 413789.300100001,227743.8701 413781.0101,227688.4701 413797.1401,227690.6801 413805.450099999,227746.1601 413789.300100001)))고가도로100001대전광역시 유성구3671007314046대정육교57.7200.0미분류미분류1
1MULTIPOLYGON (((231748.1201 409547.600099999,231726.9301 409534.1401,231690.3901 409593.790100001,231670.7201 409629.4201,231662.9201 409647.2301,231658.4301 409659.1302,231654.7001 409669.440199999,231651.3301 409679.0901,231648.9101 409688.800100001,231647.1801 409696.020099999,231644.7901 409706.8802,231643.1301 409716.4201,231641.5601 409728.280099999,231640.2701 409737.7402,231639.3901 409747.0002,231638.7001 409761.360099999,231638.6101 409777.4201,231663.9501 409775.8401,231663.8801 409761.540100001,231663.7201 409751.3901,231664.4801 409742.100099999,231666.2001 409727.4201,231668.4501 409713.770099999,231669.9901 409704.200099999,231672.4401 409694.850099999,231675.0901 409685.4201,231677.5601 409676.460100001,231680.9501 409667.4001,231684.4801 409658.3102,231688.2101 409649.3102,231692.0701 409641.2402,231696.3701 409631.870200001,231700.8801 409624.020099999,231705.8001 409615.3301,231712.9201 409603.1401,231721.5201 409590.270099999,231732.6401 409573.1401,231748.1201 409547.600099999)))고가도로100002대전광역시 서구3671008533929고릿골구름다리258.84240.0미분류미분류1
2MULTIPOLYGON (((233554.6075 415836.6414,233551.3301 415808.6401,233546.7401 415769.050100001,233542.3101 415729.520099999,233538.0401 415692.300100001,233533.3601 415651.6601,233529.5801 415619.120100001,233507.1301 415622.0601,233509.5501 415641.270099999,233514.1801 415681.9901,233520.1601 415731.200099999,233522.1701 415749.850099999,233526.4101 415785.6501,233528.3401 415804.7401,233531.1801 415831.190099999,233531.8611 415836.554,233532.721 415845.0,233533.632 415852.482000001,233534.754 415861.119000001,233536.005 415870.207,233537.593 415880.530999999,233539.633 415892.948000001,233541.867 415905.098999999,233544.089 415916.168,233546.732 415929.333000001,233549.257 415939.855,233552.108 415951.733999999,233555.119 415963.668,233557.952 415974.892999999,233558.849 415978.65,233561.508 415989.005000001,233564.063 415999.107999999,233566.593 416008.901000001,233569.143 416018.754000001,233571.695 416028.731000001,233573.733 416036.616,233576.633 416047.757999999,233578.951 416056.934,233581.372 416066.25고가도로100003대전광역시 서구3671006510066괴정육교505.0600.0미분류미분류1
3MULTIPOLYGON (((233813.8801 409179.620100001,233815.4001 409175.790100001,233828.5701 409142.3201,233832.2401 409133.800100001,233842.0301 409108.5801,233845.7901 409098.5001,233849.5401 409087.2401,233853.6701 409073.880100001,233858.7501 409056.270099999,233861.0401 409046.790100001,233863.8501 409035.120100001,233867.1401 409018.4001,233870.0901 409000.440099999,233872.1301 408982.7501,233873.2901 408971.1501,233874.4401 408956.940099999,233875.0101 408940.350099999,233875.1201 408915.720100001,233874.0401 408893.6401,233872.2201 408872.270099999,233871.2101 408862.710100001,233871.1901 408862.460100001,233853.8801 408864.290100001,233853.9101 408864.4901,233854.8901 408873.9201,233856.6701 408894.800100001,233857.7201 408916.110099999,233857.6101 408940.020099999,233857.0701 408955.940099999,233855.9601 408969.5801,233854.8301 408980.880100001,233852.8501 408998.040100001,233850.0101 409015.3101,233846.8501 409031.4101,233844.1301 409042.720100001,233841.9301 409051.8201,233837.0001 409068.9001,233832.970고가도로100004대전광역시 중구3671008613636안영고가교483.0400.0미분류미분류1
4MULTIPOLYGON (((233206.6321 412278.225099999,233210.9501 412267.2501,233216.4401 412253.700099999,233218.6901 412248.130100001,233195.9001 412238.9101,233191.8201 412248.720100001,233181.6401 412274.7601,233165.3601 412313.675100001,233145.2391 412362.8421,233133.0811 412392.2381,233121.7421 412420.712099999,233109.6151 412450.485099999,233097.2841 412480.676100001,233090.1221 412497.7631,233087.7581 412504.461100001,233085.6191 412508.0581,233108.6581 412517.5581,233130.0881 412465.8891,233143.5321 412432.689099999,233163.2411 412384.041099999,233180.8491 412340.8401,233188.3601 412322.5371,233206.6321 412278.225099999)))고가도로100005대전광역시 서구3671007514089불티구름다리290.04025.0미분류미분류1
5MULTIPOLYGON (((233276.1601 413061.290100001,233238.8401 413056.770099999,233242.3301 413062.360099999,233280.9101 413067.020099999,233276.1601 413061.290100001)))고가도로100006대전광역시 서구3671007529525<NA>37.5100.0미분류미분류1
6MULTIPOLYGON (((233039.3901 412390.9801,233048.0405 412394.7775,233056.6711 412400.0711,233062.0801 412404.2751,233067.0131 412408.7041,233072.2471 412414.541099999,233075.4691 412419.452099999,233078.0271 412423.564099999,233080.1331 412427.5561,233081.8261 412431.6631,233083.4651 412436.516100001,233085.1851 412443.020099999,233085.2061 412443.1371,233086.1841 412449.530099999,233086.4751 412455.8441,233086.3911 412460.5721,233086.1601 412464.539100001,233085.5751 412468.9991,233084.9521 412473.6011,233083.9291 412478.925100001,233083.9191 412479.0691,233083.0121 412483.5921,233081.9871 412487.7601,233081.0821 412491.4761,233080.3491 412494.800100001,233079.3451 412498.277100001,233078.4691 412501.5911,233077.1421 412506.3441,233083.4331 412507.9561,233085.5281 412499.391100001,233088.2811 412487.757099999,233090.4841 412477.324100001,233091.7051 412470.4561,233092.2741 412465.417099999,233092.5181 412461.277100001,233092.5261 412461.1631,233092.6981 412455.633099999,233092.5421 412450.6281,233092.1441 4124고가도로100007대전광역시 서구3671007514087불티구름다리301.5100.0미분류미분류1
7MULTIPOLYGON (((233119.2101 412512.610099999,233119.2471 412512.4981,233122.1551 412507.051100001,233124.8461 412502.600099999,233127.6171 412498.645099999,233131.5021 412494.0491,233134.6511 412490.8441,233139.0561 412486.6611,233143.4081 412483.5721,233147.5951 412480.7881,233152.2291 412478.210100001,233156.9771 412476.0441,233161.9561 412474.270099999,233169.4201 412472.0711,233172.6061 412471.5231,233171.1241 412464.9211,233166.2691 412466.1841,233161.6761 412467.4081,233157.5021 412468.836100001,233152.7741 412470.7151,233147.9631 412472.963099999,233143.3161 412475.7141,233138.3251 412479.247099999,233133.7351 412482.8101,233130.0791 412486.2381,233130.0421 412486.3511,233126.9301 412489.4441,233124.0261 412492.8411,233123.9891 412492.9541,233120.7241 412497.3641,233117.3381 412502.631100001,233113.7921 412509.301100001,233113.7551 412509.4131,233111.1101 412514.417099999,233116.9381 412517.2371,233119.2101 412512.610099999)))고가도로100008대전광역시 서구3671007515271불티구름다리170.0100.0미분류미분류1
8MULTIPOLYGON (((228258.7301 422095.9801,228258.8201 422067.8101,228191.2401 422113.9201,228085.9501 422186.1801,227982.4001 422256.7401,227916.5601 422301.720100001,227879.7501 422327.360099999,227878.3901 422328.280099999,227817.5601 422369.800100001,227809.2701 422375.470100001,227777.7001 422397.0101,227731.5701 422428.9101,227688.5201 422458.120100001,227665.0301 422473.9201,227664.1801 422474.4901,227670.5601 422484.1501,227653.5401 422495.710100001,227660.2801 422505.280099999,227672.6601 422497.120100001,227694.6301 422482.2601,227705.4801 422474.8101,227706.5701 422474.050100001,227738.8301 422451.8901,227778.5401 422424.790100001,227809.1801 422403.8901,227822.0901 422395.0801,227879.0501 422356.2501,227885.6401 422351.7601,227906.7401 422337.190099999,227941.9901 422313.0701,227980.2401 422286.950099999,228020.1801 422259.460100001,228059.5601 422232.600099999,228094.4501 422208.5901,228176.3701 422152.600099999,228229.5501 422115.950099999,228258.7301 422095.9801)))고가도로100009대전광역시 유성구3671004314006<NA>725.0438.0미분류미분류1
9MULTIPOLYGON (((229750.0901 418515.600099999,229749.6701 418500.6801,229743.0601 418501.210100001,229693.2601 418503.690099999,229688.0801 418504.210100001,229682.0801 418504.530099999,229682.7701 418519.1601,229692.2901 418518.710100001,229743.5001 418515.780099999,229750.0901 418515.600099999)))고가도로100010대전광역시 유성구3671005413785<NA>67.5238.0미분류미분류1
지리정보(WKT)지형지물부호관리번호행정읍면동도엽번호도로구간번호고가도로명총연장왕복차로수일반제원_허용통행하중일반제원_통행제한 높이하부공_교대형식하부공_교대기초형식대장초기화여부
28MULTIPOLYGON (((241375.6801 417403.380100001,241364.7901 417391.520099999,241267.0401 417481.2401,241244.9501 417501.7501,241181.2301 417560.380100001,241160.6701 417579.1401,241125.3301 417611.9101,241110.9901 417625.9801,241097.1101 417639.520099999,241082.0601 417655.530099999,241070.1601 417667.630100001,241059.7101 417678.3101,241058.4801 417679.610099999,241069.5801 417690.280099999,241070.8001 417689.0001,241081.1501 417678.4101,241093.0101 417666.360099999,241097.0001 417662.210100001,241136.4401 417623.5601,241171.5701 417590.9901,241192.1101 417572.2501,241255.8801 417513.5701,241277.9601 417493.0701,241375.6801 417403.380100001)))고가도로100030대전광역시 대덕구3671005913783가양대교420.0400.0미분류미분류1
29MULTIPOLYGON (((241385.8301 417339.880100001,241374.7701 417327.770099999,241345.8801 417354.200099999,241338.5301 417360.9301,241308.4701 417388.4301,241308.0301 417388.8401,241242.5801 417448.720100001,241202.9401 417484.720100001,241184.0001 417502.470100001,241144.0701 417541.280099999,241123.2401 417562.2601,241105.3701 417580.9001,241097.3501 417589.470100001,241086.2001 417601.3901,241074.4601 417614.2501,241063.7501 417626.2501,241053.3801 417637.530099999,241042.5801 417649.8901,241031.7801 417662.6501,241020.7701 417675.6501,241013.7601 417683.690099999,241026.1701 417694.4201,241026.2301 417694.350099999,241033.2101 417686.3401,241044.3001 417673.2501,241055.0101 417660.5801,241065.5901 417648.4801,241075.9101 417637.2601,241086.6301 417625.2401,241097.2301 417613.1401,241117.0601 417591.970100001,241134.7601 417573.5001,241155.3901 417552.7301,241195.1201 417514.120100001,241213.8601 417496.550100001,241253.4301 417460.620100001,241342.8201 417378.8201,241364.8101 417359.110099999,241385.8301 4173고가도로100031대전광역시 대덕구3671005913822가양대교505.0400.0미분류미분류1
30MULTIPOLYGON (((241355.2101 417701.300100001,241354.7401 417689.3101,241229.0401 417694.9101,241199.4701 417696.7501,241187.4301 417697.9001,241172.4201 417699.870100001,241162.8501 417701.300100001,241155.1001 417702.8301,241155.5301 417715.110099999,241156.8301 417714.8101,241164.7701 417713.1401,241174.0901 417711.7501,241188.7801 417709.8301,241200.4101 417708.720100001,241229.6801 417706.8901,241355.2101 417701.300100001)))고가도로100032대전광역시 대덕구3671005941291대전육교201.0200.0미분류미분류1
31MULTIPOLYGON (((241344.6101 417679.4301,241343.9901 417667.440099999,241337.8001 417667.600099999,241237.3001 417671.940099999,241218.8701 417673.110099999,241196.8601 417675.040100001,241182.3601 417676.700099999,241162.3401 417679.720100001,241145.2201 417683.1401,241145.5901 417695.5801,241147.5701 417694.9001,241164.4101 417691.550100001,241183.9401 417688.600099999,241198.0701 417686.9801,241219.7801 417685.0801,241237.9401 417683.9201,241338.2101 417679.5901,241344.6101 417679.4301)))고가도로100033대전광역시 대덕구3671005941291대전육교201.0200.0미분류미분류1
32MULTIPOLYGON (((235396.0601 412216.9,235388.33 412214.42,235368.4401 412275.720100001,235367.833 412277.630000001,235367.296 412279.3181,235363.171 412292.2961,235354.3721 412319.9761,235349.294 412335.951099999,235348.7601 412337.630100001,235327.2701 412404.2302,235332.1201 412406.49,235355.24 412340.270099999,235355.961 412338.1391,235356.0902 412337.76,235361.654 412321.326099999,235370.9421 412293.897,235375.4311 412280.6391,235375.669 412279.937999999,235376.23 412278.279999999,235396.0601 412216.9)))고가도로100034대전광역시 중구3671007618272당대가도교0.0000.0미분류미분류1
33MULTIPOLYGON (((236138.45 414827.2402,236122.3801 414812.5,236034.399 414900.721100001,235981.4399 414953.82,235913.5261 415021.913899999,235839.2501 415095.99,235855.99 415111.020099999,235913.3969 415053.233200001,235996.0741 414970.216,236035.389 414930.732100001,236037.992 414928.118000001,236138.45 414827.2402)))고가도로100035대전광역시 중구3671006614075계룡육교0.0000.0미분류미분류1
34MULTIPOLYGON (((237650.0601 423164.279999999,237656.3001 423161.5801,237662.1102 423158.540100001,237668.5001 423154.7502,237673.7401 423151.25,237680.15 423146.360099999,237686.1001 423141.07,237691.5001 423135.450099999,237695.91 423130.289899999,237699.62 423125.369999999,237702.95 423120.360099999,237705.7401 423115.550100001,237708.5401 423110.290100001,237711.23 423104.4802,237714.0201 423097.270099999,237716.8 423088.4801,237718.66 423079.710200001,237710.3799 423078.3401,237709.56 423082.540100001,237707.6501 423089.02,237705.89 423095.220100001,237703.5301 423101.390000001,237700.7101 423107.550000001,237697.79 423112.5901,237694.78 423117.6,237691.74 423121.780099999,237688.3501 423125.8901,237685.2 423129.51,237681.6101 423133.24,237677.69 423136.880100001,237673.6401 423140.190099999,237669.5001 423143.520099999,237665.71 423146.2301,237661.9901 423148.58,237658.2701 423150.780099999,237654.1101 423153.0601,237649.1601 423155.16,237643.1601 423157.640000001,237637.5501 423159.2501,237632.67 423160고가도로100036대전광역시 대덕구3671003713803<NA>0.0000.0미분류미분류1
35MULTIPOLYGON (((237574.6701 423005.449999999,237556.02 422999.74,237553.2 423011.789999999,237568.2202 423016.299900001,237579.1 423019.8901,237589.4001 423023.8299,237602.0 423029.1801,237611.9801 423034.01,237626.49 423041.640000001,237640.83 423050.1401,237654.7 423059.279999999,237664.55 423066.560000001,237670.3799 423071.110099999,237678.01 423061.5701,237667.4301 423053.4901,237660.17 423048.350099999,237653.0901 423043.530099999,237644.7801 423038.25,237633.3001 423031.540100001,237622.98 423026.0601,237612.39 423020.66,237604.4099 423017.109999999,237596.37 423013.6,237585.8001 423009.27,237574.6701 423005.449999999)))고가도로100037대전광역시 대덕구3671003713878<NA>0.0000.0미분류미분류1
36MULTIPOLYGON (((230815.33 420328.460000001,230813.36 420320.789999999,230790.5402 420327.52,230794.2801 420351.880000001,230799.0701 420374.4199,230808.3501 420419.050000001,230815.0201 420449.710100001,230820.0701 420474.199999999,230823.4 420491.030099999,230825.12 420502.810000001,230826.6501 420516.940099999,230827.26 420532.59,230827.1002 420550.02,230826.14 420566.16,230824.2801 420581.220000001,230821.85 420594.35,230819.9401 420602.9001,230784.2801 420758.850099999,230778.7499 420783.550100001,230773.05 420809.4301,230768.2301 420830.16,230766.4201 420839.9101,230764.5101 420850.8901,230762.5701 420864.130000001,230761.1101 420877.0001,230759.35 420903.8201,230759.22 420920.8901,230759.6899 420936.860099999,230760.2601 420944.1801,230786.1001 420941.4301,230785.17 420912.99,230785.1501 420903.32,230785.21 420897.35,230786.58 420881.039999999,230787.9399 420868.790100001,230790.04 420854.4901,230792.08 420843.1801,230795.2101 420828.540100001,230802.0601 420798.52,230805.3502 420785.060000001,230809.78고가도로100038대전광역시 유성구3671004416716신성교0.0000.0미분류미분류1
37MULTIPOLYGON (((227720.724 418540.9712,227709.0991 418532.278999999,227697.1901 418526.010199999,227681.674 418521.2601,227665.378 418518.387,227648.071 418514.4301,227633.7051 418509.577099999,227619.2442 418501.527000001,227606.6791 418492.2991,227597.4161 418482.693,227590.627 418484.7601,227591.358 418484.7391,227591.845 418485.3511,227592.758 418486.390000001,227595.197 418489.032099999,227606.0161 418499.710999999,227616.629 418507.5462,227628.0991 418513.991,227639.5161 418518.752,227651.174 418522.221999999,227668.4189 418525.214,227681.934 418528.27,227692.4241 418531.6971,227692.516 418532.176000001,227692.1761 418532.568,227691.805 418532.6591,227690.851 418532.674000001,227683.787 418532.216,227675.6951 418532.4641,227667.867 418534.277000001,227658.432 418538.0381,227648.632 418544.8991,227641.9981 418551.960000001,227637.166 418559.517200001,227632.998 418569.7391,227630.874 418580.551000001,227636.5741 418580.807,227637.106 418575.3641,227639.758 418566.267999999,227644.0371 418558.087099999,22고가도로100039대전광역시 유성구3671005335416구암고가교0.0000.0미분류미분류1