Overview

Dataset statistics

Number of variables12
Number of observations47
Missing cells16
Missing cells (%)2.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.8 KiB
Average record size in memory104.8 B

Variable types

Text3
Categorical4
Numeric5

Dataset

Description대전광역시 도로관리시스템에 등재되어있는 교통광장 현황 자료입니다.(지리정보가 포함되어있는 데이터입니다.)
Author대전광역시
URLhttps://www.data.go.kr/data/15110224/fileData.do

Alerts

지형지물부호 has constant value ""Constant
대장초기화여부 has constant value ""Constant
광장연장 is highly overall correlated with 광장면적High correlation
광장면적 is highly overall correlated with 광장연장High correlation
고시번호 has 2 (4.3%) missing valuesMissing
접속도로명 has 14 (29.8%) missing valuesMissing
지리정보(WKT) has unique valuesUnique
관리번호 has unique valuesUnique
광장연장 has unique valuesUnique
광장면적 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:38:25.226673
Analysis finished2023-12-12 08:38:29.375520
Duration4.15 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지리정보(WKT)
Text

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
2023-12-12T17:38:29.589375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length1024
Mean length889.6383
Min length256

Characters and Unicode

Total characters41813
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

Unique47 ?
Unique (%)100.0%

Sample

1st rowMULTIPOLYGON (((233506.9352 409675.558800001,233512.5879 409689.7897,233524.8463 409721.0217,233534.2443 409717.0439,233543.8373 409713.3671,233549.4613 409710.915200001,233565.1873 409704.364499999,233581.0123 409696.400800001,233590.3443 409692.5809,233597.4543 409690.360099999,233606.6463 409688.0832,233619.0123 409684.533399999,233623.0192 409683.671499999,233633.3872 409680.798699999,233639.5842 409679.2338,233643.8392 409677.8609,233652.2692 409675.614,233671.6121 409670.212300001,233693.5441 409664.379699999,233714.534 409658.8531,233736.707 409653.295499999,233780.6638 409642.9562,233812.5457 409635.9848,233814.3587 409635.5198,233820.7067 409634.096899999,233838.3216 409631.017200001,233855.0435 409628.252499999,233866.2715 409626.0177,233886.4614 409623.495999999,233888.9481 409641.002900001,233891.7798 409661.7008,233900.1754 409679.945800001,233904.8703 409690.0878,233914.085 409702.0329,233922.7548 409709.396,233931.3767 409715.451099999,233939.5095 409720.6862,233951.1764 409725.1033,233975.5112
2nd rowMULTIPOLYGON (((237839.3865 414466.8178,237852.3935 414461.855,237857.2905 414460.0131,237860.0235 414458.9562,237867.3085 414456.1873,237875.7985 414452.979499999,237877.6795 414452.2655,237881.6465 414450.719599999,237899.9163 414458.947799999,237903.7084 414449.3829,237905.3764 414445.353,237906.3145 414443.02,237909.5106 414434.938100001,237911.0566 414431.337200001,237910.3906 414429.9552,237904.8639 414417.8232,237887.7895 414381.5041,237892.5828 414361.099400001,237890.5619 414357.486300001,237891.2299 414354.339400001,237897.0733 414330.671599999,237901.9876 414310.1588,237903.4386 414304.5219,237893.1837 414301.755799999,237879.2869 414298.1336,237847.4249 414312.751,237846.9279 414313.606000001,237841.7388 414323.561799999,237837.1196 414333.9717,237836.4436 414335.367699999,237833.8345 414341.296599999,237840.7101 414364.376499999,237843.232 414372.8695,237847.6997 414387.704500001,237821.527 414445.229699999,237815.8518 414458.013499999,237839.3865 414466.8178)))
3rd rowMULTIPOLYGON (((235785.3041 415188.7699,235759.7397 415163.592700001,235719.2673 415204.343800001,235723.2652 415208.012800001,235735.786 415219.208900001,235737.7409 415221.238,235744.077 415214.8441,235749.8288 415224.507099999,235785.3041 415188.7699)))
4th rowMULTIPOLYGON (((236384.0902 414540.399599999,236378.3562 414541.054500001,236375.6892 414541.3235,236373.0602 414541.6515,236357.5683 414543.4782,236346.2104 414544.859999999,236324.6502 414565.0255,236312.9791 414576.667300001,236321.9697 414600.7853,236322.6806 414602.601299999,236332.5925 414609.1154,236338.8663 414613.6614,236352.1061 414622.7706,236367.7581 414618.779899999,236373.2321 414617.392899999,236376.1341 414616.361,236388.182 414611.5592,236394.1741 414606.5583,236402.5941 414599.3665,236410.3672 414592.638699999,236420.7343 414583.380899999,236422.9547 414551.5002,236417.5698 414549.9641,236405.6469 414546.391899999,236391.2531 414542.1787,236384.0902 414540.399599999)))
5th rowMULTIPOLYGON (((236243.3573 415939.602,236247.9918 415970.276799999,236268.0786 416107.419199999,236282.6829 416206.843800001,236290.884 416262.395500001,236295.7683 416303.4583,236299.9548 416337.1302,236291.4826 416348.545,236296.1192 416374.029899999,236307.745 416383.403000001,236308.5462 416430.389699999,236308.4889 416451.747500001,236307.6837 416465.736400001,236306.3002 416496.919199999,236303.1816 416538.061799999,236298.8688 416589.9034,236294.0132 416631.986099999,236292.7827 416662.637800001,236291.1024 416686.572699999,236288.3851 416706.272500001,236275.2704 416818.919500001,236274.5001 416841.9593,236273.3475 416880.359099999,236275.409 416908.3609,236290.886 416902.0952,236324.253 416888.3368,236339.154 416881.8301,236330.7362 416871.869999999,236326.0823 416865.407,236321.6375 416857.131999999,236316.6417 416845.885,236313.2949 416835.047,236309.8372 416817.767100001,236309.4033 416809.3201,236310.9408 416780.135299999,236317.7597 416716.4959,236322.3343 416677.873199999,236323.7205 416661.92
ValueCountFrequency (%)
multipolygon 47
 
2.8%
405566.197699999,229655.3096 1
 
0.1%
405615.7249,229693.3665 1
 
0.1%
405610.346899999,229687.6366 1
 
0.1%
405606.389900001,229683.2718 1
 
0.1%
405601.3149,229680.2268 1
 
0.1%
405595.5798,229676.8769 1
 
0.1%
405590.3028,229673.0191 1
 
0.1%
405585.479800001,229669.5672 1
 
0.1%
405581.1678,229666.2693 1
 
0.1%
Other values (1606) 1606
96.6%
2023-12-12T17:38:30.137666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 4704
11.3%
4 4329
10.4%
9 4104
9.8%
0 3832
9.2%
3 3795
9.1%
1 3612
8.6%
. 3137
7.5%
7 2754
6.6%
6 2645
6.3%
8 2584
6.2%
Other values (15) 6317
15.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 34770
83.2%
Other Punctuation 4672
 
11.2%
Space Separator 1615
 
3.9%
Uppercase Letter 564
 
1.3%
Open Punctuation 141
 
0.3%
Close Punctuation 51
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 4704
13.5%
4 4329
12.5%
9 4104
11.8%
0 3832
11.0%
3 3795
10.9%
1 3612
10.4%
7 2754
7.9%
6 2645
7.6%
8 2584
7.4%
5 2411
6.9%
Uppercase Letter
ValueCountFrequency (%)
L 94
16.7%
O 94
16.7%
U 47
8.3%
N 47
8.3%
G 47
8.3%
Y 47
8.3%
P 47
8.3%
I 47
8.3%
T 47
8.3%
M 47
8.3%
Other Punctuation
ValueCountFrequency (%)
. 3137
67.1%
, 1535
32.9%
Space Separator
ValueCountFrequency (%)
1615
100.0%
Open Punctuation
ValueCountFrequency (%)
( 141
100.0%
Close Punctuation
ValueCountFrequency (%)
) 51
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 41249
98.7%
Latin 564
 
1.3%

Most frequent character per script

Common
ValueCountFrequency (%)
2 4704
11.4%
4 4329
10.5%
9 4104
9.9%
0 3832
9.3%
3 3795
9.2%
1 3612
8.8%
. 3137
7.6%
7 2754
6.7%
6 2645
6.4%
8 2584
6.3%
Other values (5) 5753
13.9%
Latin
ValueCountFrequency (%)
L 94
16.7%
O 94
16.7%
U 47
8.3%
N 47
8.3%
G 47
8.3%
Y 47
8.3%
P 47
8.3%
I 47
8.3%
T 47
8.3%
M 47
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 41813
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 4704
11.3%
4 4329
10.4%
9 4104
9.8%
0 3832
9.2%
3 3795
9.1%
1 3612
8.6%
. 3137
7.5%
7 2754
6.6%
6 2645
6.3%
8 2584
6.2%
Other values (15) 6317
15.1%

지형지물부호
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size508.0 B
교통광장
47 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
교통광장 47
100.0%

Length

2023-12-12T17:38:30.322589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:38:30.441172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
교통광장 47
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.510638
Minimum1
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2023-12-12T17:38:30.580481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.3
Q112.5
median25
Q336.5
95-th percentile45.7
Maximum48
Range47
Interquartile range (IQR)24

Descriptive statistics

Standard deviation14.15116
Coefficient of variation (CV)0.57734766
Kurtosis-1.2416313
Mean24.510638
Median Absolute Deviation (MAD)12
Skewness-0.0023545185
Sum1152
Variance200.25532
MonotonicityStrictly increasing
2023-12-12T17:38:30.749676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
1 1
 
2.1%
2 1
 
2.1%
28 1
 
2.1%
29 1
 
2.1%
30 1
 
2.1%
31 1
 
2.1%
32 1
 
2.1%
33 1
 
2.1%
34 1
 
2.1%
35 1
 
2.1%
Other values (37) 37
78.7%
ValueCountFrequency (%)
1 1
2.1%
2 1
2.1%
3 1
2.1%
4 1
2.1%
5 1
2.1%
6 1
2.1%
7 1
2.1%
8 1
2.1%
9 1
2.1%
10 1
2.1%
ValueCountFrequency (%)
48 1
2.1%
47 1
2.1%
46 1
2.1%
45 1
2.1%
44 1
2.1%
43 1
2.1%
42 1
2.1%
41 1
2.1%
40 1
2.1%
39 1
2.1%

행정읍면동
Categorical

Distinct5
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Memory size508.0 B
대전광역시 유성구
17 
대전광역시 중구
대전광역시 동구
대전광역시 서구
대전광역시 대덕구

Length

Max length9
Median length8
Mean length8.4893617
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대전광역시 유성구 17
36.2%
대전광역시 중구 9
19.1%
대전광역시 동구 9
19.1%
대전광역시 서구 6
 
12.8%
대전광역시 대덕구 6
 
12.8%

Length

2023-12-12T17:38:30.926056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:38:31.073947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대전광역시 47
50.0%
유성구 17
 
18.1%
중구 9
 
9.6%
동구 9
 
9.6%
서구 6
 
6.4%
대덕구 6
 
6.4%

도엽번호
Real number (ℝ)

Distinct28
Distinct (%)59.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36710148
Minimum36710026
Maximum36714004
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2023-12-12T17:38:31.236608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36710026
5-th percentile36710028
Q136710053
median36710067
Q336710078
95-th percentile36710094
Maximum36714004
Range3978
Interquartile range (IQR)25

Descriptive statistics

Standard deviation575.04117
Coefficient of variation (CV)1.5664365 × 10-5
Kurtosis46.890577
Mean36710148
Median Absolute Deviation (MAD)14
Skewness6.8439118
Sum1.7253769 × 109
Variance330672.34
MonotonicityNot monotonic
2023-12-12T17:38:31.462959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
36710067 6
 
12.8%
36710085 3
 
6.4%
36710071 3
 
6.4%
36710053 3
 
6.4%
36710058 2
 
4.3%
36710068 2
 
4.3%
36710077 2
 
4.3%
36710075 2
 
4.3%
36710037 2
 
4.3%
36710081 2
 
4.3%
Other values (18) 20
42.6%
ValueCountFrequency (%)
36710026 1
 
2.1%
36710027 1
 
2.1%
36710028 2
4.3%
36710035 1
 
2.1%
36710036 1
 
2.1%
36710037 2
4.3%
36710043 1
 
2.1%
36710044 1
 
2.1%
36710053 3
6.4%
36710054 1
 
2.1%
ValueCountFrequency (%)
36714004 1
 
2.1%
36710099 1
 
2.1%
36710096 1
 
2.1%
36710091 1
 
2.1%
36710085 3
6.4%
36710084 1
 
2.1%
36710083 1
 
2.1%
36710081 2
4.3%
36710079 1
 
2.1%
36710077 2
4.3%

도로구간번호
Real number (ℝ)

Distinct46
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29239.404
Minimum8574
Maximum111486
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2023-12-12T17:38:31.653854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8574
5-th percentile13579.8
Q114568
median21428
Q335465
95-th percentile65934.4
Maximum111486
Range102912
Interquartile range (IQR)20897

Descriptive statistics

Standard deviation21808.249
Coefficient of variation (CV)0.74585136
Kurtosis5.8896061
Mean29239.404
Median Absolute Deviation (MAD)7597
Skewness2.2423264
Sum1374252
Variance4.7559974 × 108
MonotonicityNot monotonic
2023-12-12T17:38:31.856682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
43848 2
 
4.3%
13640 1
 
2.1%
15350 1
 
2.1%
47381 1
 
2.1%
13554 1
 
2.1%
13435 1
 
2.1%
69778 1
 
2.1%
15324 1
 
2.1%
17459 1
 
2.1%
14023 1
 
2.1%
Other values (36) 36
76.6%
ValueCountFrequency (%)
8574 1
2.1%
13435 1
2.1%
13554 1
2.1%
13640 1
2.1%
13746 1
2.1%
13798 1
2.1%
13831 1
2.1%
13878 1
2.1%
13949 1
2.1%
13965 1
2.1%
ValueCountFrequency (%)
111486 1
2.1%
104695 1
2.1%
69778 1
2.1%
56966 1
2.1%
47381 1
2.1%
46521 1
2.1%
45003 1
2.1%
43848 2
4.3%
42914 1
2.1%
42493 1
2.1%

고시번호
Text

MISSING 

Distinct25
Distinct (%)55.6%
Missing2
Missing (%)4.3%
Memory size508.0 B
2023-12-12T17:38:32.128229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length15.488889
Min length14

Characters and Unicode

Total characters697
Distinct characters31
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

Unique19 ?
Unique (%)42.2%

Sample

1st row건설부_제1987-327호
2nd row대전광역시_제1997-3호
3rd row건설부_제1986-422호
4th row대전광역시_제2017-214호
5th row건설부_제1986-422호
ValueCountFrequency (%)
건설부_제1986-422호 8
17.8%
대전지방국토관리청_제2003-47호 6
 
13.3%
대전광역시_제2011-42호 6
 
13.3%
건설부_제1987-327호 2
 
4.4%
대전광역시_제2016-145호 2
 
4.4%
대전광역시_제2001-6호 2
 
4.4%
대전광역시_제2008-28호 1
 
2.2%
대전광역시_제2017-141호 1
 
2.2%
대전광역시_제1999-26호 1
 
2.2%
대전광역시_제1996-191호 1
 
2.2%
Other values (15) 15
33.3%
2023-12-12T17:38:32.568508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 64
 
9.2%
1 56
 
8.0%
0 48
 
6.9%
45
 
6.5%
- 45
 
6.5%
45
 
6.5%
_ 45
 
6.5%
33
 
4.7%
33
 
4.7%
27
 
3.9%
Other values (21) 256
36.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 319
45.8%
Decimal Number 288
41.3%
Dash Punctuation 45
 
6.5%
Connector Punctuation 45
 
6.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
45
14.1%
45
14.1%
33
10.3%
33
10.3%
27
8.5%
27
8.5%
27
8.5%
12
 
3.8%
11
 
3.4%
11
 
3.4%
Other values (9) 48
15.0%
Decimal Number
ValueCountFrequency (%)
2 64
22.2%
1 56
19.4%
0 48
16.7%
4 24
 
8.3%
9 23
 
8.0%
6 20
 
6.9%
8 18
 
6.2%
7 17
 
5.9%
3 14
 
4.9%
5 4
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 45
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 378
54.2%
Hangul 319
45.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
45
14.1%
45
14.1%
33
10.3%
33
10.3%
27
8.5%
27
8.5%
27
8.5%
12
 
3.8%
11
 
3.4%
11
 
3.4%
Other values (9) 48
15.0%
Common
ValueCountFrequency (%)
2 64
16.9%
1 56
14.8%
0 48
12.7%
- 45
11.9%
_ 45
11.9%
4 24
 
6.3%
9 23
 
6.1%
6 20
 
5.3%
8 18
 
4.8%
7 17
 
4.5%
Other values (2) 18
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 378
54.2%
Hangul 319
45.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 64
16.9%
1 56
14.8%
0 48
12.7%
- 45
11.9%
_ 45
11.9%
4 24
 
6.3%
9 23
 
6.1%
6 20
 
5.3%
8 18
 
4.8%
7 17
 
4.5%
Other values (2) 18
 
4.8%
Hangul
ValueCountFrequency (%)
45
14.1%
45
14.1%
33
10.3%
33
10.3%
27
8.5%
27
8.5%
27
8.5%
12
 
3.8%
11
 
3.4%
11
 
3.4%
Other values (9) 48
15.0%

광장명
Categorical

Distinct3
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size508.0 B
교차점광장
23 
기타 교통광장시설
21 
역전광장

Length

Max length9
Median length5
Mean length6.7234043
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row교차점광장
2nd row기타 교통광장시설
3rd row교차점광장
4th row교차점광장
5th row교차점광장

Common Values

ValueCountFrequency (%)
교차점광장 23
48.9%
기타 교통광장시설 21
44.7%
역전광장 3
 
6.4%

Length

2023-12-12T17:38:32.760632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:38:32.910756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
교차점광장 23
33.8%
기타 21
30.9%
교통광장시설 21
30.9%
역전광장 3
 
4.4%

광장연장
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1357.1064
Minimum48
Maximum4784
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2023-12-12T17:38:33.084878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48
5-th percentile221.8
Q1402.5
median895
Q32162.5
95-th percentile3687.1
Maximum4784
Range4736
Interquartile range (IQR)1760

Descriptive statistics

Standard deviation1179.3383
Coefficient of variation (CV)0.86900946
Kurtosis0.8095924
Mean1357.1064
Median Absolute Deviation (MAD)594
Skewness1.1613217
Sum63784
Variance1390838.8
MonotonicityNot monotonic
2023-12-12T17:38:33.328435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
2227 1
 
2.1%
472 1
 
2.1%
1111 1
 
2.1%
4382 1
 
2.1%
3153 1
 
2.1%
3916 1
 
2.1%
1459 1
 
2.1%
1066 1
 
2.1%
2624 1
 
2.1%
2117 1
 
2.1%
Other values (37) 37
78.7%
ValueCountFrequency (%)
48 1
2.1%
189 1
2.1%
202 1
2.1%
268 1
2.1%
275 1
2.1%
283 1
2.1%
286 1
2.1%
301 1
2.1%
305 1
2.1%
321 1
2.1%
ValueCountFrequency (%)
4784 1
2.1%
4382 1
2.1%
3916 1
2.1%
3153 1
2.1%
2848 1
2.1%
2707 1
2.1%
2624 1
2.1%
2572 1
2.1%
2431 1
2.1%
2380 1
2.1%

광장면적
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45584.66
Minimum84
Maximum180157
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2023-12-12T17:38:33.523365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum84
5-th percentile2334.8
Q19409.5
median17112
Q366078
95-th percentile166305.1
Maximum180157
Range180073
Interquartile range (IQR)56668.5

Descriptive statistics

Standard deviation56281.642
Coefficient of variation (CV)1.2346619
Kurtosis0.51987604
Mean45584.66
Median Absolute Deviation (MAD)11351
Skewness1.3952867
Sum2142479
Variance3.1676232 × 109
MonotonicityNot monotonic
2023-12-12T17:38:33.731088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
71292 1
 
2.1%
9543 1
 
2.1%
26709 1
 
2.1%
179397 1
 
2.1%
121957 1
 
2.1%
166660 1
 
2.1%
29428 1
 
2.1%
17698 1
 
2.1%
148042 1
 
2.1%
121088 1
 
2.1%
Other values (37) 37
78.7%
ValueCountFrequency (%)
84 1
2.1%
1494 1
2.1%
1955 1
2.1%
3221 1
2.1%
4715 1
2.1%
4760 1
2.1%
5272 1
2.1%
5761 1
2.1%
6356 1
2.1%
7417 1
2.1%
ValueCountFrequency (%)
180157 1
2.1%
179397 1
2.1%
166660 1
2.1%
165477 1
2.1%
162700 1
2.1%
148042 1
2.1%
121957 1
2.1%
121088 1
2.1%
112126 1
2.1%
88209 1
2.1%

접속도로명
Text

MISSING 

Distinct26
Distinct (%)78.8%
Missing14
Missing (%)29.8%
Memory size508.0 B
2023-12-12T17:38:33.950955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length4.7878788
Min length3

Characters and Unicode

Total characters158
Distinct characters63
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

Unique21 ?
Unique (%)63.6%

Sample

1st row대전남부순환고속도로
2nd row보문로
3rd row계룡로
4th row계룡로
5th row대전남부순환고속도로
ValueCountFrequency (%)
대전로 3
 
9.1%
동서대로 3
 
9.1%
대전남부순환고속도로 2
 
6.1%
계룡로 2
 
6.1%
경부고속도로 2
 
6.1%
백운로 1
 
3.0%
회남로 1
 
3.0%
신탄진로 1
 
3.0%
지족로 1
 
3.0%
엑스포로539번길 1
 
3.0%
Other values (16) 16
48.5%
2023-12-12T17:38:34.378802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32
20.3%
11
 
7.0%
7
 
4.4%
6
 
3.8%
6
 
3.8%
6
 
3.8%
5
 
3.2%
5
 
3.2%
4
 
2.5%
4
 
2.5%
Other values (53) 72
45.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 147
93.0%
Decimal Number 11
 
7.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
32
21.8%
11
 
7.5%
7
 
4.8%
6
 
4.1%
6
 
4.1%
6
 
4.1%
5
 
3.4%
5
 
3.4%
4
 
2.7%
4
 
2.7%
Other values (45) 61
41.5%
Decimal Number
ValueCountFrequency (%)
3 3
27.3%
9 2
18.2%
8 1
 
9.1%
0 1
 
9.1%
1 1
 
9.1%
5 1
 
9.1%
2 1
 
9.1%
4 1
 
9.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 147
93.0%
Common 11
 
7.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
32
21.8%
11
 
7.5%
7
 
4.8%
6
 
4.1%
6
 
4.1%
6
 
4.1%
5
 
3.4%
5
 
3.4%
4
 
2.7%
4
 
2.7%
Other values (45) 61
41.5%
Common
ValueCountFrequency (%)
3 3
27.3%
9 2
18.2%
8 1
 
9.1%
0 1
 
9.1%
1 1
 
9.1%
5 1
 
9.1%
2 1
 
9.1%
4 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 147
93.0%
ASCII 11
 
7.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
32
21.8%
11
 
7.5%
7
 
4.8%
6
 
4.1%
6
 
4.1%
6
 
4.1%
5
 
3.4%
5
 
3.4%
4
 
2.7%
4
 
2.7%
Other values (45) 61
41.5%
ASCII
ValueCountFrequency (%)
3 3
27.3%
9 2
18.2%
8 1
 
9.1%
0 1
 
9.1%
1 1
 
9.1%
5 1
 
9.1%
2 1
 
9.1%
4 1
 
9.1%

대장초기화여부
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size508.0 B
1
47 

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 47
100.0%

Length

2023-12-12T17:38:34.592517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:38:34.724230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 47
100.0%

Interactions

2023-12-12T17:38:28.257615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:38:25.719583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:38:26.233041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:38:27.260104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:38:27.707652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:38:28.374923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:38:25.804831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:38:26.342989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:38:27.348736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:38:27.790946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:38:28.533813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:38:25.925632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:38:26.468788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:38:27.463932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:38:27.906660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:38:28.654305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:38:26.011205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:38:26.996440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:38:27.548267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:38:28.015859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:38:28.769920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:38:26.113132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:38:27.130803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:38:27.626540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:38:28.138822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:38:34.804506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지리정보(WKT)관리번호행정읍면동도엽번호도로구간번호고시번호광장명광장연장광장면적접속도로명
지리정보(WKT)1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
관리번호1.0001.0000.8650.2820.3610.6550.0000.5540.0560.933
행정읍면동1.0000.8651.0000.2120.4280.8850.3090.1690.0000.590
도엽번호1.0000.2820.2121.0000.0001.0000.0000.0000.0001.000
도로구간번호1.0000.3610.4280.0001.0000.8670.4170.6200.1240.869
고시번호1.0000.6550.8851.0000.8671.0000.9230.7900.8790.966
광장명1.0000.0000.3090.0000.4170.9231.0000.0000.2350.518
광장연장1.0000.5540.1690.0000.6200.7900.0001.0000.7090.907
광장면적1.0000.0560.0000.0000.1240.8790.2350.7091.0000.961
접속도로명1.0000.9330.5901.0000.8690.9660.5180.9070.9611.000
2023-12-12T17:38:34.974647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
광장명행정읍면동
광장명1.0000.236
행정읍면동0.2361.000
2023-12-12T17:38:35.468306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리번호도엽번호도로구간번호광장연장광장면적행정읍면동광장명
관리번호1.000-0.3390.1460.1810.1580.5000.000
도엽번호-0.3391.000-0.1440.1220.0740.2510.000
도로구간번호0.146-0.1441.000-0.322-0.3120.2730.170
광장연장0.1810.122-0.3221.0000.9480.0680.000
광장면적0.1580.074-0.3120.9481.0000.0000.132
행정읍면동0.5000.2510.2730.0680.0001.0000.236
광장명0.0000.0000.1700.0000.1320.2361.000

Missing values

2023-12-12T17:38:28.938149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:38:29.161297image/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.
2023-12-12T17:38:29.305990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

지리정보(WKT)지형지물부호관리번호행정읍면동도엽번호도로구간번호고시번호광장명광장연장광장면적접속도로명대장초기화여부
0MULTIPOLYGON (((233506.9352 409675.558800001,233512.5879 409689.7897,233524.8463 409721.0217,233534.2443 409717.0439,233543.8373 409713.3671,233549.4613 409710.915200001,233565.1873 409704.364499999,233581.0123 409696.400800001,233590.3443 409692.5809,233597.4543 409690.360099999,233606.6463 409688.0832,233619.0123 409684.533399999,233623.0192 409683.671499999,233633.3872 409680.798699999,233639.5842 409679.2338,233643.8392 409677.8609,233652.2692 409675.614,233671.6121 409670.212300001,233693.5441 409664.379699999,233714.534 409658.8531,233736.707 409653.295499999,233780.6638 409642.9562,233812.5457 409635.9848,233814.3587 409635.5198,233820.7067 409634.096899999,233838.3216 409631.017200001,233855.0435 409628.252499999,233866.2715 409626.0177,233886.4614 409623.495999999,233888.9481 409641.002900001,233891.7798 409661.7008,233900.1754 409679.945800001,233904.8703 409690.0878,233914.085 409702.0329,233922.7548 409709.396,233931.3767 409715.451099999,233939.5095 409720.6862,233951.1764 409725.1033,233975.5112교통광장1대전광역시 중구3671008513640건설부_제1987-327호교차점광장222771292대전남부순환고속도로1
1MULTIPOLYGON (((237839.3865 414466.8178,237852.3935 414461.855,237857.2905 414460.0131,237860.0235 414458.9562,237867.3085 414456.1873,237875.7985 414452.979499999,237877.6795 414452.2655,237881.6465 414450.719599999,237899.9163 414458.947799999,237903.7084 414449.3829,237905.3764 414445.353,237906.3145 414443.02,237909.5106 414434.938100001,237911.0566 414431.337200001,237910.3906 414429.9552,237904.8639 414417.8232,237887.7895 414381.5041,237892.5828 414361.099400001,237890.5619 414357.486300001,237891.2299 414354.339400001,237897.0733 414330.671599999,237901.9876 414310.1588,237903.4386 414304.5219,237893.1837 414301.755799999,237879.2869 414298.1336,237847.4249 414312.751,237846.9279 414313.606000001,237841.7388 414323.561799999,237837.1196 414333.9717,237836.4436 414335.367699999,237833.8345 414341.296599999,237840.7101 414364.376499999,237843.232 414372.8695,237847.6997 414387.704500001,237821.527 414445.229699999,237815.8518 414458.013499999,237839.3865 414466.8178)))교통광장2대전광역시 중구3671006728070대전광역시_제1997-3호기타 교통광장시설4729543보문로1
2MULTIPOLYGON (((235785.3041 415188.7699,235759.7397 415163.592700001,235719.2673 415204.343800001,235723.2652 415208.012800001,235735.786 415219.208900001,235737.7409 415221.238,235744.077 415214.8441,235749.8288 415224.507099999,235785.3041 415188.7699)))교통광장3대전광역시 중구3671006615045<NA>교차점광장1891955계룡로1
3MULTIPOLYGON (((236384.0902 414540.399599999,236378.3562 414541.054500001,236375.6892 414541.3235,236373.0602 414541.6515,236357.5683 414543.4782,236346.2104 414544.859999999,236324.6502 414565.0255,236312.9791 414576.667300001,236321.9697 414600.7853,236322.6806 414602.601299999,236332.5925 414609.1154,236338.8663 414613.6614,236352.1061 414622.7706,236367.7581 414618.779899999,236373.2321 414617.392899999,236376.1341 414616.361,236388.182 414611.5592,236394.1741 414606.5583,236402.5941 414599.3665,236410.3672 414592.638699999,236420.7343 414583.380899999,236422.9547 414551.5002,236417.5698 414549.9641,236405.6469 414546.391899999,236391.2531 414542.1787,236384.0902 414540.399599999)))교통광장4대전광역시 중구3671006715066건설부_제1986-422호교차점광장3016356계룡로1
4MULTIPOLYGON (((236243.3573 415939.602,236247.9918 415970.276799999,236268.0786 416107.419199999,236282.6829 416206.843800001,236290.884 416262.395500001,236295.7683 416303.4583,236299.9548 416337.1302,236291.4826 416348.545,236296.1192 416374.029899999,236307.745 416383.403000001,236308.5462 416430.389699999,236308.4889 416451.747500001,236307.6837 416465.736400001,236306.3002 416496.919199999,236303.1816 416538.061799999,236298.8688 416589.9034,236294.0132 416631.986099999,236292.7827 416662.637800001,236291.1024 416686.572699999,236288.3851 416706.272500001,236275.2704 416818.919500001,236274.5001 416841.9593,236273.3475 416880.359099999,236275.409 416908.3609,236290.886 416902.0952,236324.253 416888.3368,236339.154 416881.8301,236330.7362 416871.869999999,236326.0823 416865.407,236321.6375 416857.131999999,236316.6417 416845.885,236313.2949 416835.047,236309.8372 416817.767100001,236309.4033 416809.3201,236310.9408 416780.135299999,236317.7597 416716.4959,236322.3343 416677.873199999,236323.7205 416661.92교통광장5대전광역시 중구3671006727559<NA>교차점광장206636791<NA>1
5MULTIPOLYGON (((229613.7846 410432.917300001,229613.7846 410432.920299999,229613.8476 410432.919299999,229621.3095 410433.0484,229627.3655 410433.353499999,229634.0954 410433.787599999,229640.7014 410434.720699999,229645.8323 410435.8627,229651.9023 410438.001800001,229655.4802 410439.3299,229658.9992 410441.039899999,229659.9981 410441.743899999,229661.4721 410442.7809,229663.2401 410444.698000001,229664.862 410447.136,229665.951 410449.106000001,229693.01 410433.850500001,229688.3792 410426.308499999,229682.1674 410416.2204,229680.2435 410413.353399999,229684.9246 410404.5166,229688.6705 410404.5166,229688.6707 410392.5167,229677.7768 410392.5165,229654.6441 410379.964299999,229649.3753 410371.6732,229635.8453 410380.369999999,229636.7082 410381.627,229638.6468 410407.036800001,229614.3967 410422.916300001,229613.9707 410422.918299999,229613.9587 410422.918299999,229613.7846 410432.917300001)))교통광장6대전광역시 서구3671008456966대전광역시_제2017-214호기타 교통광장시설2683221대전남부순환고속도로1
6MULTIPOLYGON (((239632.9644 417033.977399999,239617.9291 417058.58,239606.5439 417077.2597,239608.1204 417106.931600001,239609.3811 417128.919399999,239618.8309 417135.4835,239637.6556 417147.229800001,239652.6154 417156.4899,239658.6044 417150.539100001,239669.5823 417153.317199999,239686.7901 417157.7655,239697.7151 417152.400699999,239715.6191 417143.941,239731.9722 417136.351299999,239728.8409 417092.013599999,239726.4304 417058.220699999,239727.3834 417056.366800001,239708.7287 417047.411499999,239695.7739 417041.178400001,239667.9291 417041.517899999,239650.2892 417041.7377,239647.0672 417040.2706,239632.9644 417033.977399999)))교통광장7대전광역시 동구3671005842493건설부_제1986-422호교차점광장42112343동서대로1
7MULTIPOLYGON (((238784.5463 416637.104900001,238764.4714 416642.7015,238736.3331 416671.3709,238744.1757 416697.750800001,238747.0125 416706.9208,238748.1034 416710.535800001,238753.7751 416729.625800001,238758.5678 416746.195699999,238773.4897 416745.129000001,238794.3426 416744.3663,238814.5247 416727.969699999,238825.24 416703.6971,238834.7123 416682.292400001,238816.2459 416652.2873,238784.5463 416637.104900001)))교통광장8대전광역시 동구3671006820817건설부_제1986-422호교차점광장3217417동서대로1
8MULTIPOLYGON (((237343.8815 415517.593,237347.6685 415517.547,237350.7674 415517.677100001,237353.1534 415517.7851,237355.4344 415518.120200001,237359.4484 415519.122199999,237363.0613 415520.201300001,237371.2232 415523.350400001,237378.9541 415527.997500001,237385.07 415532.225500001,237387.6259 415534.8386,237392.3298 415539.603599999,237406.7539 415525.6339,237407.5799 415526.412900001,237421.5761 415512.2182,237416.6712 415507.2162,237406.3414 415496.473099999,237404.8364 415494.482100001,237403.8565 415492.815099999,237403.4505 415492.041099999,237402.1095 415489.2491,237400.6716 415484.996099999,237399.8937 415480.8531,237399.0908 415475.270099999,237398.7988 415471.077199999,237398.6489 415466.950200001,237398.763 415464.097200001,237398.993 415460.3792,237399.6021 415456.180299999,237400.1881 415453.883300001,237401.1432 415450.565300001,237402.1212 415448.069399999,237404.0552 415443.475400001,237406.2453 415438.6765,237407.0963 415437.2415,237410.6184 415431.8676,237392.6728 415414.371400001,237391교통광장9대전광역시 중구3671006721428건설부_제1986-422호교차점광장51011442동서대로1
9MULTIPOLYGON (((236271.2824 413867.292400001,236263.7741 413892.2041,236262.307 413896.8751,236257.9678 413910.0669,236253.1466 413926.490800001,236252.1616 413930.2247,236251.7566 413931.445699999,236257.5365 413933.1328,236318.2558 413951.034600001,236321.9228 413948.8927,236323.5929 413943.784700001,236331.1202 413920.433,236333.5783 413913.1241,236340.8316 413891.4334,236333.2857 413888.6153,236271.2824 413867.292400001)))교통광장10대전광역시 중구367100778574건설부_제1986-422호역전광장2754760오류로1
지리정보(WKT)지형지물부호관리번호행정읍면동도엽번호도로구간번호고시번호광장명광장연장광장면적접속도로명대장초기화여부
37MULTIPOLYGON (((234157.8576 427336.037599999,234157.807 427374.3473,234157.8065 427407.630100001,234164.9435 427407.2542,234172.0934 427409.8923,234174.7563 427411.896299999,234172.9073 427415.6843,234175.1241 427428.814200001,234169.8958 427446.026000001,234169.5928 427447.236,234166.8226 427460.4559,234183.7485 427461.3561,234199.9314 427462.2114,234199.7224 427459.5394,234200.0086 427448.842399999,234206.1235 427449.168500001,234206.2906 427446.657600001,234203.1987 427438.4036,234194.536 427425.6175,234180.1712 427418.7063,234178.5852 427418.0253,234180.4012 427414.0964,234185.9992 427416.2585,234204.909 427416.6537,234212.793 427417.8539,234232.5928 427422.7031,234237.9547 427423.0812,234247.8276 427423.7754,234255.0746 427423.114499999,234255.0666 427423.9175,234258.7104 427434.0755,234301.1732 427426.687200001,234310.5642 427425.0513,234321.3971 427428.0755,234323.836 427431.2005,234327.332 427429.4506,234339.6059 427431.832800001,234343.7059 427428.912799999,234344.0809 427428.6818,234362.2568 427429.교통광장39대전광역시 유성구3671002635528대전광역시_제2015-222호기타 교통광장시설270753222<NA>1
38MULTIPOLYGON (((224721.231 408017.097999999,224700.8255 407987.9549,224538.8419 408101.306600001,224439.8144 408173.8706,224435.7155 408173.4515,224431.5765 408173.591499999,224426.5495 408173.451400001,224423.0096 408173.7303,224420.1776 408173.870300001,224417.0046 408174.7072,224414.4016 408176.1032,224412.1676 408177.220100001,224409.0466 408178.337099999,224406.7726 408178.895,224404.2096 408179.454,224401.6956 408179.732000001,224398.4336 408179.731899999,224396.5796 408179.731899999,224392.8997 408179.3138,224390.1067 408178.615800001,224385.7278 408177.3597,224381.0478 408175.821699999,224376.9089 408174.0076,224373.4679 408172.4716,224370.3959 408171.4945,224367.464 408170.0985,224363.365 408168.4234,224360.0131 408167.167400001,224356.2441 408165.212300001,224352.6132 408163.816299999,224349.8712 408162.5603,224346.1903 408161.4432,224343.6763 408160.0472,224340.8833 408159.349199999,224337.9024 408158.5121,224334.1314 408157.9541,224330.6414 408157.534,224326.5525 408157.254899999,224322.0335 40815교통광장40대전광역시 유성구3671009115476대전지방국토관리청_제2003-47호기타 교통광장시설220888209<NA>1
39MULTIPOLYGON (((227585.1739 418459.450099999,227599.7782 418494.293099999,227606.8799 418513.0011,227625.3141 418557.3061,227625.6491 418558.2291,227626.0341 418559.1511,227626.419 418560.0721,227626.853 418560.993100001,227627.237 418561.9131,227627.672 418562.8331,227628.056 418563.7521,227628.39 418564.6701,227628.7739 418565.588099999,227629.1579 418566.505100001,227629.5419 418567.4211,227629.9259 418568.337099999,227630.3109 418569.2521,227630.6948 418570.166099999,227631.0798 418571.0801,227631.4648 418571.9921,227631.8998 418572.904100001,227632.2848 418573.815099999,227632.6198 418574.7261,227633.0057 418575.6351,227633.3917 418576.5441,227633.7787 418577.452099999,227634.1657 418578.359099999,227634.5527 418579.266100001,227634.9897 418580.1711,227635.3786 418581.076099999,227635.7166 418581.9791,227636.1556 418582.882099999,227636.4456 418583.7841,227636.8356 418584.6851,227637.2766 418585.585100001,227637.6175 418586.484099999,227638.0585 418587.380100001,227638.4515 418588.277100001,227638.8455 4교통광장41대전광역시 유성구3671005345003대전광역시_제2008-28호교차점광장60814997지족로1
40MULTIPOLYGON (((237348.723 416832.108200001,237351.4931 416821.5483,237353.3932 416814.238399999,237356.7734 416802.5985,237361.6536 416787.648700001,237364.0137 416781.3387,237364.1097 416780.9607,237365.5537 416777.3288,237368.1438 416771.218900001,237371.1739 416764.879000001,237374.1339 416758.8891,237375.042 416757.097100001,237369.9611 416752.677999999,237360.9272 416744.8639,237347.3895 416732.8388,237314.8867 416734.238299999,237285.8346 416754.8577,237280.364 416796.6073,237280.0269 416798.8553,237268.5038 416810.157099999,237261.2838 416817.3419,237280.1083 416840.800000001,237286.3032 416844.3771,237302.0329 416853.5473,237310.3308 416858.407400001,237345.3905 416860.1709,237346.4977 416850.177999999,237348.1079 416834.508099999,237348.723 416832.108200001)))교통광장42대전광역시 대덕구3671006727370건설부_제1986-422호교차점광장3849276대전로1
41MULTIPOLYGON (((238440.3415 427006.3609,238439.0167 426996.608899999,238434.6197 426997.138900001,238430.2667 426997.9408,238426.3697 426998.9037,238422.4067 427000.148600001,238419.7107 427001.037599999,238413.8919 426993.9705,238404.1321 426983.2905,238396.9353 426976.055400001,238390.6472 426981.518300001,238373.4951 426999.1779,238374.537 427003.717900001,238383.4813 427041.9417,238385.9711 427053.4647,238389.1629 427066.7797,238391.8877 427077.2926,238397.3952 427106.0645,238405.0796 427141.259400001,238407.5914 427152.0494,238410.7612 427165.3993,238412.6491 427172.477299999,238413.619 427175.6043,238415.019 427179.6493,238418.5138 427187.792300001,238419.8637 427190.939300001,238422.6106 427196.1713,238424.3866 427199.3573,238433.8563 427213.307399999,238443.275 427227.4464,238449.5028 427236.919399999,238451.8158 427239.7195,238452.2657 427242.269400001,238454.0625 427252.3814,238459.482 427284.0243,238460.2689 427288.7423,238461.3048 427295.507200001,238466.1724 427322.4011,238500.3312 427315.9567000교통광장43대전광역시 대덕구3671002815816대전광역시_제2016-200호기타 교통광장시설80624604신탄진로1
42MULTIPOLYGON (((238454.5239 427995.7073,238441.746 427993.691099999,238443.4391 427983.929199999,238441.4082 427983.564200001,238428.3343 427981.227,238423.994 428003.6588,238435.5239 428006.051899999,238426.8352 428050.7215,238428.0052 428050.953500001,238440.4051 428053.435699999,238449.993 428055.334799999,238454.5239 427995.7073)))교통광장44대전광역시 대덕구36710028111486대전광역시_제2016-66호역전광장2021494<NA>1
43MULTIPOLYGON (((240150.1432 418810.2565,240165.9879 418823.3947,240204.6981 418855.452099999,240236.2995 418881.6984,240238.6704 418883.622400001,240246.4466 418872.613600001,240254.0877 418861.810799999,240256.5437 418859.4078,240258.1037 418857.5549,240263.1077 418853.429,240267.5758 418849.7081,240269.7058 418847.892100001,240270.8818 418846.996099999,240283.8398 418838.724400001,240282.5739 418835.6504,240300.253 418818.7338,240313.8541 418811.7541,240314.0781 418811.644099999,240314.8501 418811.2641,240332.6351 418802.4604,240357.1151 418789.922900001,240380.8072 418773.5294,240401.2654 418752.262800001,240414.4435 418738.0381,240424.7496 418727.5054,240442.9539 418699.5688,240450.8511 418687.595000001,240465.2341 418676.6143,240466.4681 418677.1314,240475.644 418680.9735,240478.1039 418683.511499999,240488.687 418677.761700001,240498.8469 418678.933800001,240500.7769 418678.7169,240517.7698 418676.7402,240525.6047 418675.8673,240528.5787 418675.552300001,240528.5247 418674.688300001,240532.5887 418674.8교통광장45대전광역시 대덕구3671005813831대전광역시_제2011-42호교차점광장2848180157<NA>1
44MULTIPOLYGON (((228543.963 419574.092399999,228543.73 419575.042400001,228543.7593 419623.262,228543.9342 419624.162,228558.7091 419624.1623,228588.7589 419624.162699999,228644.2286 419624.1636,228649.7786 419618.4037,228649.7192 419579.854,228644.1793 419574.183900001,228588.6797 419574.131100001,228558.7099 419574.102600001,228543.963 419574.092399999)))교통광장46대전광역시 유성구3671005343848대전광역시_제2007-131호기타 교통광장시설3055272은구비남로33번길1
45MULTIPOLYGON (((228507.5295 419624.1415,228507.7495 419623.261499999,228507.7603 419575.0118,228507.5553 419574.1818,228492.7104 419574.181600001,228467.7105 419574.1812,228418.2309 419574.180400001,228412.7488 419579.943299999,228412.7432 419618.283,228418.1901 419624.1401,228467.7798 419624.140799999,228492.7596 419624.1412,228507.5295 419624.1415)))교통광장47대전광역시 유성구3671005343848대전광역시_제1996-191호기타 교통광장시설2834715<NA>1
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