Overview

Dataset statistics

Number of variables18
Number of observations207
Missing cells358
Missing cells (%)9.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory30.7 KiB
Average record size in memory151.6 B

Variable types

Text5
Categorical7
Numeric5
DateTime1

Dataset

Description세종시 무인교통단속카메라 현황으로 관리번호, 도로종류, 노선번호, 소재지지번주소, 위경도, 설치년도, 제한속도 등의 항목을 제공합니다.
Author경찰청 세종특별자치시경찰청
URLhttps://www.data.go.kr/data/15094392/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
도로노선번호 is highly overall correlated with 도로종류High correlation
제한속도 is highly overall correlated with 단속구분 and 1 other fieldsHigh correlation
설치연도 is highly overall correlated with 도로종류 and 1 other fieldsHigh correlation
도로종류 is highly overall correlated with 도로노선번호 and 1 other fieldsHigh correlation
단속구분 is highly overall correlated with 제한속도High correlation
관리기관전화번호 is highly overall correlated with 제한속도 and 1 other fieldsHigh correlation
도로노선번호 has 153 (73.9%) missing valuesMissing
소재지도로명주소 has 205 (99.0%) missing valuesMissing
무인교통단속카메라관리번호 has unique valuesUnique
설치장소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:25:14.357564
Analysis finished2023-12-12 12:25:18.908112
Duration4.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

무인교통단속카메라관리번호
Text

UNIQUE 

Distinct207
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-12T21:25:19.245896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters1035
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique207 ?
Unique (%)100.0%

Sample

1st rowF7219
2nd rowF7460
3rd rowF7461
4th rowF7641
5th rowF7642
ValueCountFrequency (%)
f7219 1
 
0.5%
g8148 1
 
0.5%
g8150 1
 
0.5%
g8151 1
 
0.5%
g8152 1
 
0.5%
g8153 1
 
0.5%
g8154 1
 
0.5%
g9220 1
 
0.5%
g9221 1
 
0.5%
g9222 1
 
0.5%
Other values (197) 197
95.2%
2023-12-12T21:25:19.935092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
G 162
15.7%
4 127
12.3%
1 105
10.1%
9 103
10.0%
2 96
9.3%
3 85
8.2%
6 77
7.4%
7 62
 
6.0%
5 59
 
5.7%
0 58
 
5.6%
Other values (3) 101
9.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 828
80.0%
Uppercase Letter 207
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 127
15.3%
1 105
12.7%
9 103
12.4%
2 96
11.6%
3 85
10.3%
6 77
9.3%
7 62
7.5%
5 59
7.1%
0 58
7.0%
8 56
6.8%
Uppercase Letter
ValueCountFrequency (%)
G 162
78.3%
F 26
 
12.6%
H 19
 
9.2%

Most occurring scripts

ValueCountFrequency (%)
Common 828
80.0%
Latin 207
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 127
15.3%
1 105
12.7%
9 103
12.4%
2 96
11.6%
3 85
10.3%
6 77
9.3%
7 62
7.5%
5 59
7.1%
0 58
7.0%
8 56
6.8%
Latin
ValueCountFrequency (%)
G 162
78.3%
F 26
 
12.6%
H 19
 
9.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
G 162
15.7%
4 127
12.3%
1 105
10.1%
9 103
10.0%
2 96
9.3%
3 85
8.2%
6 77
7.4%
7 62
 
6.0%
5 59
 
5.7%
0 58
 
5.6%
Other values (3) 101
9.8%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
세종특별자치시
207 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
세종특별자치시 207
100.0%

Length

2023-12-12T21:25:20.125297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:25:20.268479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
세종특별자치시 207
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
없음
207 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
없음 207
100.0%

Length

2023-12-12T21:25:20.396094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:25:20.548014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
없음 207
100.0%

도로종류
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
특별시도
80 
시도
73 
일반국도
37 
지방도
17 

Length

Max length4
Median length4
Mean length3.2125604
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반국도
2nd row지방도
3rd row지방도
4th row일반국도
5th row일반국도

Common Values

ValueCountFrequency (%)
특별시도 80
38.6%
시도 73
35.3%
일반국도 37
17.9%
지방도 17
 
8.2%

Length

2023-12-12T21:25:20.706876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:25:20.894276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
특별시도 80
38.6%
시도 73
35.3%
일반국도 37
17.9%
지방도 17
 
8.2%

도로노선번호
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct6
Distinct (%)11.1%
Missing153
Missing (%)73.9%
Infinite0
Infinite (%)0.0%
Mean32.814815
Minimum1
Maximum327
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-12T21:25:21.037151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q336
95-th percentile96
Maximum327
Range326
Interquartile range (IQR)35

Descriptive statistics

Standard deviation68.240162
Coefficient of variation (CV)2.0795535
Kurtosis11.596028
Mean32.814815
Median Absolute Deviation (MAD)0
Skewness3.2062878
Sum1772
Variance4656.7198
MonotonicityNot monotonic
2023-12-12T21:25:21.179389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 37
 
17.9%
96 9
 
4.3%
36 3
 
1.4%
327 2
 
1.0%
43 2
 
1.0%
23 1
 
0.5%
(Missing) 153
73.9%
ValueCountFrequency (%)
1 37
17.9%
23 1
 
0.5%
36 3
 
1.4%
43 2
 
1.0%
96 9
 
4.3%
327 2
 
1.0%
ValueCountFrequency (%)
327 2
 
1.0%
96 9
 
4.3%
43 2
 
1.0%
36 3
 
1.4%
23 1
 
0.5%
1 37
17.9%

도로노선명
Text

Distinct57
Distinct (%)27.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-12T21:25:21.418228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.5942029
Min length3

Characters and Unicode

Total characters744
Distinct characters89
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

Unique13 ?
Unique (%)6.3%

Sample

1st row세종로
2nd row의당전의로
3rd row의당전의로
4th row세종로
5th row세종로
ValueCountFrequency (%)
세종로 39
18.8%
한누리대로 22
 
10.6%
행복대로 12
 
5.8%
연청로 7
 
3.4%
갈매로 6
 
2.9%
가름로 6
 
2.9%
만남로 5
 
2.4%
마음로 5
 
2.4%
당산로 5
 
2.4%
절재로 4
 
1.9%
Other values (47) 96
46.4%
2023-12-12T21:25:21.917151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 197
26.5%
세 47
 
6.3%
종 47
 
6.3%
대 40
 
5.4%
한 22
 
3.0%
누 22
 
3.0%
리 22
 
3.0%
남 16
 
2.2%
정 13
 
1.7%
복 12
 
1.6%
Other values (79) 306
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 740
99.5%
Decimal Number 4
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 197
26.6%
세 47
 
6.4%
종 47
 
6.4%
대 40
 
5.4%
한 22
 
3.0%
누 22
 
3.0%
리 22
 
3.0%
남 16
 
2.2%
정 13
 
1.8%
복 12
 
1.6%
Other values (77) 302
40.8%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
3 2
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 740
99.5%
Common 4
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 197
26.6%
세 47
 
6.4%
종 47
 
6.4%
대 40
 
5.4%
한 22
 
3.0%
누 22
 
3.0%
리 22
 
3.0%
남 16
 
2.2%
정 13
 
1.8%
복 12
 
1.6%
Other values (77) 302
40.8%
Common
ValueCountFrequency (%)
2 2
50.0%
3 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 740
99.5%
ASCII 4
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 197
26.6%
세 47
 
6.4%
종 47
 
6.4%
대 40
 
5.4%
한 22
 
3.0%
누 22
 
3.0%
리 22
 
3.0%
남 16
 
2.2%
정 13
 
1.8%
복 12
 
1.6%
Other values (77) 302
40.8%
ASCII
ValueCountFrequency (%)
2 2
50.0%
3 2
50.0%

도로노선방향
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2
105 
1
102 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
2 105
50.7%
1 102
49.3%

Length

2023-12-12T21:25:22.074804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:25:22.185007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 105
50.7%
1 102
49.3%

소재지도로명주소
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing205
Missing (%)99.0%
Memory size1.7 KiB
2023-12-12T21:25:22.365557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19.5
Mean length19.5
Min length18

Characters and Unicode

Total characters39
Distinct characters22
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row세종특별자치시 연서면 봉암길 22
2nd row세종특별자치시 조치원읍 세종로 2540
ValueCountFrequency (%)
세종특별자치시 2
25.0%
연서면 1
12.5%
봉암길 1
12.5%
22 1
12.5%
조치원읍 1
12.5%
세종로 1
12.5%
2540 1
12.5%
2023-12-12T21:25:22.696748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6
15.4%
세 3
 
7.7%
치 3
 
7.7%
종 3
 
7.7%
2 3
 
7.7%
특 2
 
5.1%
별 2
 
5.1%
자 2
 
5.1%
시 2
 
5.1%
조 1
 
2.6%
Other values (12) 12
30.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27
69.2%
Space Separator 6
 
15.4%
Decimal Number 6
 
15.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
세 3
11.1%
치 3
11.1%
종 3
11.1%
특 2
 
7.4%
별 2
 
7.4%
자 2
 
7.4%
시 2
 
7.4%
조 1
 
3.7%
로 1
 
3.7%
읍 1
 
3.7%
Other values (7) 7
25.9%
Decimal Number
ValueCountFrequency (%)
2 3
50.0%
4 1
 
16.7%
5 1
 
16.7%
0 1
 
16.7%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27
69.2%
Common 12
30.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
세 3
11.1%
치 3
11.1%
종 3
11.1%
특 2
 
7.4%
별 2
 
7.4%
자 2
 
7.4%
시 2
 
7.4%
조 1
 
3.7%
로 1
 
3.7%
읍 1
 
3.7%
Other values (7) 7
25.9%
Common
ValueCountFrequency (%)
6
50.0%
2 3
25.0%
4 1
 
8.3%
5 1
 
8.3%
0 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27
69.2%
ASCII 12
30.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6
50.0%
2 3
25.0%
4 1
 
8.3%
5 1
 
8.3%
0 1
 
8.3%
Hangul
ValueCountFrequency (%)
세 3
11.1%
치 3
11.1%
종 3
11.1%
특 2
 
7.4%
별 2
 
7.4%
자 2
 
7.4%
시 2
 
7.4%
조 1
 
3.7%
로 1
 
3.7%
읍 1
 
3.7%
Other values (7) 7
25.9%

소재지지번주소
Text

Distinct138
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-12T21:25:23.229870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length17.78744
Min length14

Characters and Unicode

Total characters3682
Distinct characters100
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

Unique88 ?
Unique (%)42.5%

Sample

1st row세종특별자치시 소정면 대곡리 322-2
2nd row세종특별자치시 장군면 송학리 113-4
3rd row세종특별자치시 장군면 송학리 113-4
4th row세종특별자치시 조치원읍 침산리 34-5
5th row세종특별자치시 소정면 운당리 32-5
ValueCountFrequency (%)
세종특별자치시 207
29.4%
조치원읍 18
 
2.6%
어진동 13
 
1.8%
다정동 13
 
1.8%
연기면 13
 
1.8%
아름동 12
 
1.7%
반곡동 10
 
1.4%
고운동 10
 
1.4%
대평동 10
 
1.4%
소담동 10
 
1.4%
Other values (190) 387
55.0%
2023-12-12T21:25:23.831950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
499
 
13.6%
치 225
 
6.1%
종 219
 
5.9%
세 210
 
5.7%
특 207
 
5.6%
별 207
 
5.6%
자 207
 
5.6%
시 207
 
5.6%
동 134
 
3.6%
- 107
 
2.9%
Other values (90) 1460
39.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2344
63.7%
Decimal Number 732
 
19.9%
Space Separator 499
 
13.6%
Dash Punctuation 107
 
2.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
치 225
 
9.6%
종 219
 
9.3%
세 210
 
9.0%
특 207
 
8.8%
별 207
 
8.8%
자 207
 
8.8%
시 207
 
8.8%
동 134
 
5.7%
리 87
 
3.7%
면 66
 
2.8%
Other values (78) 575
24.5%
Decimal Number
ValueCountFrequency (%)
2 93
12.7%
3 91
12.4%
7 87
11.9%
1 87
11.9%
0 74
10.1%
6 72
9.8%
4 71
9.7%
5 64
8.7%
8 49
6.7%
9 44
6.0%
Space Separator
ValueCountFrequency (%)
499
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 107
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2344
63.7%
Common 1338
36.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
치 225
 
9.6%
종 219
 
9.3%
세 210
 
9.0%
특 207
 
8.8%
별 207
 
8.8%
자 207
 
8.8%
시 207
 
8.8%
동 134
 
5.7%
리 87
 
3.7%
면 66
 
2.8%
Other values (78) 575
24.5%
Common
ValueCountFrequency (%)
499
37.3%
- 107
 
8.0%
2 93
 
7.0%
3 91
 
6.8%
7 87
 
6.5%
1 87
 
6.5%
0 74
 
5.5%
6 72
 
5.4%
4 71
 
5.3%
5 64
 
4.8%
Other values (2) 93
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2344
63.7%
ASCII 1338
36.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
499
37.3%
- 107
 
8.0%
2 93
 
7.0%
3 91
 
6.8%
7 87
 
6.5%
1 87
 
6.5%
0 74
 
5.5%
6 72
 
5.4%
4 71
 
5.3%
5 64
 
4.8%
Other values (2) 93
 
7.0%
Hangul
ValueCountFrequency (%)
치 225
 
9.6%
종 219
 
9.3%
세 210
 
9.0%
특 207
 
8.8%
별 207
 
8.8%
자 207
 
8.8%
시 207
 
8.8%
동 134
 
5.7%
리 87
 
3.7%
면 66
 
2.8%
Other values (78) 575
24.5%

위도
Real number (ℝ)

Distinct152
Distinct (%)73.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.502531
Minimum36.281511
Maximum36.729177
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-12T21:25:24.320745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.281511
5-th percentile36.291141
Q136.480626
median36.503452
Q336.538804
95-th percentile36.671612
Maximum36.729177
Range0.4476662
Interquartile range (IQR)0.058178

Descriptive statistics

Standard deviation0.096420328
Coefficient of variation (CV)0.0026414696
Kurtosis1.100096
Mean36.502531
Median Absolute Deviation (MAD)0.0259917
Skewness-0.5951471
Sum7556.024
Variance0.0092968797
MonotonicityNot monotonic
2023-12-12T21:25:24.491200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.51114178 6
 
2.9%
36.467249 4
 
1.9%
36.495594 4
 
1.9%
36.522364 4
 
1.9%
36.48633333 4
 
1.9%
36.480626 4
 
1.9%
36.49456082 4
 
1.9%
36.50783305 3
 
1.4%
36.53479172 2
 
1.0%
36.50709244 2
 
1.0%
Other values (142) 170
82.1%
ValueCountFrequency (%)
36.281511 2
1.0%
36.282411 1
0.5%
36.283411 1
0.5%
36.283474 1
0.5%
36.283644 1
0.5%
36.284544 1
0.5%
36.2845844 1
0.5%
36.285574 1
0.5%
36.2856144 1
0.5%
36.291111 1
0.5%
ValueCountFrequency (%)
36.7291772 1
0.5%
36.72849451 1
0.5%
36.7209136 1
0.5%
36.71965852 1
0.5%
36.71360429 1
0.5%
36.69790675 1
0.5%
36.68597409 1
0.5%
36.68383175 1
0.5%
36.67947395 1
0.5%
36.67940942 1
0.5%

경도
Real number (ℝ)

Distinct154
Distinct (%)74.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.25752
Minimum127.14361
Maximum127.40279
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-12T21:25:24.673201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.14361
5-th percentile127.15108
Q1127.23233
median127.26277
Q3127.29374
95-th percentile127.33179
Maximum127.40279
Range0.259175
Interquartile range (IQR)0.0614121

Descriptive statistics

Standard deviation0.054830238
Coefficient of variation (CV)0.00043086051
Kurtosis-0.17726358
Mean127.25752
Median Absolute Deviation (MAD)0.0306936
Skewness-0.33219582
Sum26342.306
Variance0.003006355
MonotonicityNot monotonic
2023-12-12T21:25:24.903168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.2296487 5
 
2.4%
127.331795 4
 
1.9%
127.312741 4
 
1.9%
127.264797 4
 
1.9%
127.3011111 4
 
1.9%
127.246282 4
 
1.9%
127.2486141 3
 
1.4%
127.2399165 3
 
1.4%
127.243911 2
 
1.0%
127.2504673 2
 
1.0%
Other values (144) 172
83.1%
ValueCountFrequency (%)
127.143611 1
0.5%
127.143811 1
0.5%
127.145111 1
0.5%
127.145411 1
0.5%
127.145611 2
1.0%
127.1491793 1
0.5%
127.150211 2
1.0%
127.150311 1
0.5%
127.150411 1
0.5%
127.1526293 1
0.5%
ValueCountFrequency (%)
127.402786 2
1.0%
127.36772 2
1.0%
127.365036 2
1.0%
127.3361862 1
 
0.5%
127.332433 2
1.0%
127.331795 4
1.9%
127.3288628 1
 
0.5%
127.3283546 1
 
0.5%
127.326557 2
1.0%
127.3238982 1
 
0.5%

설치장소
Text

UNIQUE 

Distinct207
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-12T21:25:25.190897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length47
Mean length39.52657
Min length15

Characters and Unicode

Total characters8182
Distinct characters252
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique207 ?
Unique (%)100.0%

Sample

1st row세종특별자치시 소정면 세종로 4679, (은산제2주유소 앞)
2nd row세종특별자치시 장군면 의당전의로 송학1리 마을입구 공주방향
3rd row세종특별자치시 장군면 의당전의로 송학1리 마을입구 세종방향
4th row세종특별자치시 조치원읍 세종로 욱일사거리(신봉초교 앞) (대전→천안)
5th row세종특별자치시 소정면 세종로 무궁화@앞(천안 방향)
ValueCountFrequency (%)
세종특별자치시 207
 
15.4%
→ 62
 
4.6%
앞 41
 
3.1%
세종로 34
 
2.5%
한누리대로 19
 
1.4%
조치원읍 17
 
1.3%
보람동 15
 
1.1%
조치원 11
 
0.8%
아름동 11
 
0.8%
대전 11
 
0.8%
Other values (531) 915
68.1%
2023-12-12T21:25:25.774275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1138
 
13.9%
종 336
 
4.1%
세 307
 
3.8%
치 267
 
3.3%
로 265
 
3.2%
시 236
 
2.9%
별 213
 
2.6%
자 212
 
2.6%
특 210
 
2.6%
교 206
 
2.5%
Other values (242) 4792
58.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5565
68.0%
Space Separator 1138
 
13.9%
Decimal Number 661
 
8.1%
Open Punctuation 196
 
2.4%
Close Punctuation 194
 
2.4%
Math Symbol 181
 
2.2%
Other Punctuation 160
 
2.0%
Dash Punctuation 64
 
0.8%
Uppercase Letter 18
 
0.2%
Lowercase Letter 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
종 336
 
6.0%
세 307
 
5.5%
치 267
 
4.8%
로 265
 
4.8%
시 236
 
4.2%
별 213
 
3.8%
자 212
 
3.8%
특 210
 
3.8%
교 206
 
3.7%
동 180
 
3.2%
Other values (215) 3133
56.3%
Decimal Number
ValueCountFrequency (%)
1 120
18.2%
2 88
13.3%
3 74
11.2%
0 62
9.4%
7 58
8.8%
5 57
8.6%
4 57
8.6%
8 51
7.7%
6 49
7.4%
9 45
 
6.8%
Uppercase Letter
ValueCountFrequency (%)
I 4
22.2%
K 3
16.7%
S 3
16.7%
C 2
11.1%
D 2
11.1%
E 1
 
5.6%
B 1
 
5.6%
R 1
 
5.6%
T 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 159
99.4%
@ 1
 
0.6%
Space Separator
ValueCountFrequency (%)
1138
100.0%
Open Punctuation
ValueCountFrequency (%)
( 196
100.0%
Close Punctuation
ValueCountFrequency (%)
) 194
100.0%
Math Symbol
ValueCountFrequency (%)
→ 181
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5565
68.0%
Common 2594
31.7%
Latin 23
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
종 336
 
6.0%
세 307
 
5.5%
치 267
 
4.8%
로 265
 
4.8%
시 236
 
4.2%
별 213
 
3.8%
자 212
 
3.8%
특 210
 
3.8%
교 206
 
3.7%
동 180
 
3.2%
Other values (215) 3133
56.3%
Common
ValueCountFrequency (%)
1138
43.9%
( 196
 
7.6%
) 194
 
7.5%
→ 181
 
7.0%
, 159
 
6.1%
1 120
 
4.6%
2 88
 
3.4%
3 74
 
2.9%
- 64
 
2.5%
0 62
 
2.4%
Other values (7) 318
 
12.3%
Latin
ValueCountFrequency (%)
m 5
21.7%
I 4
17.4%
K 3
13.0%
S 3
13.0%
C 2
 
8.7%
D 2
 
8.7%
E 1
 
4.3%
B 1
 
4.3%
R 1
 
4.3%
T 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5565
68.0%
ASCII 2436
29.8%
Arrows 181
 
2.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1138
46.7%
( 196
 
8.0%
) 194
 
8.0%
, 159
 
6.5%
1 120
 
4.9%
2 88
 
3.6%
3 74
 
3.0%
- 64
 
2.6%
0 62
 
2.5%
7 58
 
2.4%
Other values (16) 283
 
11.6%
Hangul
ValueCountFrequency (%)
종 336
 
6.0%
세 307
 
5.5%
치 267
 
4.8%
로 265
 
4.8%
시 236
 
4.2%
별 213
 
3.8%
자 212
 
3.8%
특 210
 
3.8%
교 206
 
3.7%
동 180
 
3.2%
Other values (215) 3133
56.3%
Arrows
ValueCountFrequency (%)
→ 181
100.0%

단속구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2
118 
1
89 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 118
57.0%
1 89
43.0%

Length

2023-12-12T21:25:25.957832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:25:26.120442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 118
57.0%
1 89
43.0%

제한속도
Real number (ℝ)

HIGH CORRELATION 

Distinct7
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.570048
Minimum20
Maximum80
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-12T21:25:26.262449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile30
Q130
median50
Q360
95-th percentile80
Maximum80
Range60
Interquartile range (IQR)30

Descriptive statistics

Standard deviation17.552243
Coefficient of variation (CV)0.37689982
Kurtosis-1.0244586
Mean46.570048
Median Absolute Deviation (MAD)20
Skewness0.38288729
Sum9640
Variance308.08123
MonotonicityNot monotonic
2023-12-12T21:25:26.422238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
30 76
36.7%
50 60
29.0%
70 28
 
13.5%
80 15
 
7.2%
60 14
 
6.8%
20 10
 
4.8%
40 4
 
1.9%
ValueCountFrequency (%)
20 10
 
4.8%
30 76
36.7%
40 4
 
1.9%
50 60
29.0%
60 14
 
6.8%
70 28
 
13.5%
80 15
 
7.2%
ValueCountFrequency (%)
80 15
 
7.2%
70 28
 
13.5%
60 14
 
6.8%
50 60
29.0%
40 4
 
1.9%
30 76
36.7%
20 10
 
4.8%

설치연도
Real number (ℝ)

HIGH CORRELATION 

Distinct10
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2018.9614
Minimum2013
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-12T21:25:26.592500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2013
5-th percentile2015
Q12018
median2020
Q32020
95-th percentile2022
Maximum2022
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.9102315
Coefficient of variation (CV)0.00094614567
Kurtosis0.55283077
Mean2018.9614
Median Absolute Deviation (MAD)1
Skewness-0.79241327
Sum417925
Variance3.6489846
MonotonicityIncreasing
2023-12-12T21:25:26.774439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2020 72
34.8%
2018 46
22.2%
2019 20
 
9.7%
2021 18
 
8.7%
2017 16
 
7.7%
2022 15
 
7.2%
2014 8
 
3.9%
2016 7
 
3.4%
2015 4
 
1.9%
2013 1
 
0.5%
ValueCountFrequency (%)
2013 1
 
0.5%
2014 8
 
3.9%
2015 4
 
1.9%
2016 7
 
3.4%
2017 16
 
7.7%
2018 46
22.2%
2019 20
 
9.7%
2020 72
34.8%
2021 18
 
8.7%
2022 15
 
7.2%
ValueCountFrequency (%)
2022 15
 
7.2%
2021 18
 
8.7%
2020 72
34.8%
2019 20
 
9.7%
2018 46
22.2%
2017 16
 
7.7%
2016 7
 
3.4%
2015 4
 
1.9%
2014 8
 
3.9%
2013 1
 
0.5%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
세종특별자치시경찰청
207 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
세종특별자치시경찰청 207
100.0%

Length

2023-12-12T21:25:26.938252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:25:27.062613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
세종특별자치시경찰청 207
100.0%

관리기관전화번호
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
044-559-2151
173 
044-559-2251
34 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row044-559-2151
2nd row044-559-2151
3rd row044-559-2151
4th row044-559-2151
5th row044-559-2151

Common Values

ValueCountFrequency (%)
044-559-2151 173
83.6%
044-559-2251 34
 
16.4%

Length

2023-12-12T21:25:27.193796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:25:27.339058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
044-559-2151 173
83.6%
044-559-2251 34
 
16.4%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2022-05-20 00:00:00
Maximum2022-05-20 00:00:00
2023-12-12T21:25:27.484384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:25:27.603753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T21:25:17.650648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:25:15.260591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:25:15.847958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:25:16.420429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:25:17.038895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:25:17.747635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:25:15.373593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:25:15.983711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:25:16.535488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:25:17.146163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:25:17.865345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:25:15.476504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:25:16.080928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:25:16.662588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:25:17.258618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:25:17.987728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:25:15.609754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:25:16.188594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:25:16.812222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:25:17.394267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:25:18.103115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:25:15.741667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:25:16.318377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:25:16.939571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:25:17.518041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:25:27.716498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도로종류도로노선번호도로노선명도로노선방향소재지도로명주소위도경도단속구분제한속도설치연도관리기관전화번호
도로종류1.0000.9140.9080.070NaN0.6520.5330.2900.5600.7670.504
도로노선번호0.9141.0001.0000.246NaN0.3180.7970.0000.6230.6310.207
도로노선명0.9081.0001.0000.000NaN0.9240.9300.8240.8630.7620.427
도로노선방향0.0700.2460.0001.000NaN0.0000.0000.0000.0000.1120.000
소재지도로명주소NaNNaNNaNNaN1.0000.000NaN0.0000.0000.000NaN
위도0.6520.3180.9240.0000.0001.0000.7260.3190.4340.3830.237
경도0.5330.7970.9300.000NaN0.7261.0000.1350.5000.5470.522
단속구분0.2900.0000.8240.0000.0000.3190.1351.0000.5370.2650.344
제한속도0.5600.6230.8630.0000.0000.4340.5000.5371.0000.5820.519
설치연도0.7670.6310.7620.1120.0000.3830.5470.2650.5821.0000.944
관리기관전화번호0.5040.2070.4270.000NaN0.2370.5220.3440.5190.9441.000
2023-12-12T21:25:27.884789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도로노선방향도로종류단속구분관리기관전화번호
도로노선방향1.0000.0450.0000.000
도로종류0.0451.0000.1920.340
단속구분0.0000.1921.0000.224
관리기관전화번호0.0000.3400.2241.000
2023-12-12T21:25:28.036745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도로노선번호위도경도제한속도설치연도도로종류도로노선방향단속구분관리기관전화번호
도로노선번호1.000-0.0350.1700.021-0.0770.7210.1570.0000.131
위도-0.0351.0000.1840.139-0.1760.3350.0000.2360.174
경도0.1700.1841.0000.2470.2480.3420.0000.1000.394
제한속도0.0210.1390.2471.0000.0280.4180.0000.5690.550
설치연도-0.077-0.1760.2480.0281.0000.6090.1080.2620.962
도로종류0.7210.3350.3420.4180.6091.0000.0450.1920.340
도로노선방향0.1570.0000.0000.0000.1080.0451.0000.0000.000
단속구분0.0000.2360.1000.5690.2620.1920.0001.0000.224
관리기관전화번호0.1310.1740.3940.5500.9620.3400.0000.2241.000

Missing values

2023-12-12T21:25:18.275915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:25:18.612769image/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.
2023-12-12T21:25:18.831400image/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

무인교통단속카메라관리번호시도명시군구명도로종류도로노선번호도로노선명도로노선방향소재지도로명주소소재지지번주소위도경도설치장소단속구분제한속도설치연도관리기관명관리기관전화번호데이터기준일자
0F7219세종특별자치시없음일반국도1세종로2<NA>세종특별자치시 소정면 대곡리 322-236.728495127.165088세종특별자치시 소정면 세종로 4679, (은산제2주유소 앞)1802013세종특별자치시경찰청044-559-21512022-05-20
1F7460세종특별자치시없음지방도327의당전의로1<NA>세종특별자치시 장군면 송학리 113-436.52781127.184503세종특별자치시 장군면 의당전의로 송학1리 마을입구 공주방향1602014세종특별자치시경찰청044-559-21512022-05-20
2F7461세종특별자치시없음지방도327의당전의로1<NA>세종특별자치시 장군면 송학리 113-436.52781127.184503세종특별자치시 장군면 의당전의로 송학1리 마을입구 세종방향1602014세종특별자치시경찰청044-559-21512022-05-20
3F7641세종특별자치시없음일반국도1세종로1<NA>세종특별자치시 조치원읍 침산리 34-536.603117127.28984세종특별자치시 조치원읍 세종로 욱일사거리(신봉초교 앞) (대전→천안)2502014세종특별자치시경찰청044-559-21512022-05-20
4F7642세종특별자치시없음일반국도1세종로1<NA>세종특별자치시 소정면 운당리 32-536.697907127.152629세종특별자치시 소정면 세종로 무궁화@앞(천안 방향)2802014세종특별자치시경찰청044-559-21512022-05-20
5F7643세종특별자치시없음일반국도1세종로1<NA>세종특별자치시 전의면 유천리 59036.679222127.184556세종특별자치시 전의면 세종로 영상주유소 건너편1802014세종특별자치시경찰청044-559-21512022-05-20
6F7644세종특별자치시없음지방도1세종로1<NA>세종특별자치시 금남면 두만리 259-136.427822127.290002세종특별자치시 금남면 세종로 (두만2리 앞)1802014세종특별자치시경찰청044-559-21512022-05-20
7F7666세종특별자치시없음일반국도43정안세종로1<NA>세종특별자치시 연기면 수산리 12336.540647127.232329세종특별자치시 연기면 정안세종로 수산교차로 400m전 (세종방향)1802014세종특별자치시경찰청044-559-21512022-05-20
8F7667세종특별자치시없음일반국도43정안세종로2<NA>세종특별자치시 연기면 수산리 12336.540647127.232329세종특별자치시 연기면 정안세종로 수산교차로 (정안방향)1802014세종특별자치시경찰청044-559-21512022-05-20
9F8280세종특별자치시없음시도<NA>가름로2<NA>세종특별자치시 종촌동 71036.499162127.250494세종특별자치시 다정동 가름로 가재마을아파트 803동 옆 사거리2502015세종특별자치시경찰청044-559-21512022-05-20
무인교통단속카메라관리번호시도명시군구명도로종류도로노선번호도로노선명도로노선방향소재지도로명주소소재지지번주소위도경도설치장소단속구분제한속도설치연도관리기관명관리기관전화번호데이터기준일자
197H3958세종특별자치시없음시도<NA>행복대로2<NA>세종특별자치시 집현동 산 45-236.495594127.331795세종특별자치시 집현동 산 45-2, 새나루교차로→새샘교차로 3차로(시점)1702022세종특별자치시경찰청044-559-22512022-05-20
198H3959세종특별자치시없음시도<NA>행복대로2<NA>세종특별자치시 반곡동 203-13336.480626127.312741세종특별자치시 집현동883-241, 새나루교차로→새샘교차로 1,2차로(종점)1702022세종특별자치시경찰청044-559-22512022-05-20
199H3960세종특별자치시없음시도<NA>행복대로2<NA>세종특별자치시 반곡동 203-13336.480626127.312741세종특별자치시 집현동883-241, 새나루교차로→새샘교차로 3차로(종점)1702022세종특별자치시경찰청044-559-22512022-05-20
200H3961세종특별자치시없음시도<NA>한누리대로2<NA>세종특별자치시 집현동 37036.501081127.328355세종특별자치시 집현동 370 새나루12단지 앞(아람찬교→반곡교)2502022세종특별자치시경찰청044-559-22512022-05-20
201H3962세종특별자치시없음시도<NA>집현북로1<NA>세종특별자치시 집현동 363-236.501124127.328863세종특별자치시 집현동 363-2 산학연클러스터 앞(새나래교차로→새나루12단지)2502022세종특별자치시경찰청044-559-22512022-05-20
202H3963세종특별자치시없음시도<NA>한누리대로2<NA>세종특별자치시 연기면 누리리 84736.534236127.294825세종특별자치시 연기면 누리리 847 보롬교(한별리→용호리)2502022세종특별자치시경찰청044-559-22512022-05-20
203H3964세종특별자치시없음시도<NA>한누리대로1<NA>세종특별자치시 연기면 누리리 84736.53433127.294196세종특별자치시 연기면 누리리 847 보롬교(용호리→한별리)2502022세종특별자치시경찰청044-559-22512022-05-20
204H3965세종특별자치시없음일반국도1세종로1<NA>세종특별자치시 조치원읍 신안리 23836.633073127.287699세종특별자치시 조치원읍 신안리 238(조치원→천안)1602022세종특별자치시경찰청044-559-22512022-05-20
205H3966세종특별자치시없음일반국도1세종로2<NA>세종특별자치시 연서면 월하리 65236.575571127.291597세종특별자치시 연서면 월하리 652 월하오거리(천안→세종)2502022세종특별자치시경찰청044-559-22512022-05-20
206H3967세종특별자치시없음일반국도1세종로1<NA>세종특별자치시 연서면 월하리 65236.57832127.292682세종특별자치시 연서면 월하리 652가나공인중개사 앞(세종→천안)2502022세종특별자치시경찰청044-559-22512022-05-20