Overview

Dataset statistics

Number of variables19
Number of observations3887
Missing cells3443
Missing cells (%)4.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory592.3 KiB
Average record size in memory156.0 B

Variable types

Numeric3
Categorical12
Text4

Dataset

Description통영시 관내 도로안전표지에 대하여 도로안전표지일련번호,도로종류,도로노선번호,도로노선명,도로형태,차로수,소재지도로명주소,소재지지번주소,위도,경도,도로안전표지구분,도로안전표지종별일련번호,주행제한속도,도로안전표지설명,지주형식 등 정보를 제공합니다.
Author경상남도 통영시
URLhttps://www.data.go.kr/data/15076374/fileData.do

Alerts

관리기관명 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
도로노선번호 is highly overall correlated with 도로종류 and 1 other fieldsHigh correlation
도로종류 is highly overall correlated with 도로노선번호 and 3 other fieldsHigh correlation
도로노선명 is highly overall correlated with 도로종류 and 4 other fieldsHigh correlation
도로형태 is highly overall correlated with 도로노선명 and 1 other fieldsHigh correlation
차로수 is highly overall correlated with 도로종류 and 2 other fieldsHigh correlation
지주형식 is highly overall correlated with 도로종류 and 1 other fieldsHigh correlation
도로종류 is highly imbalanced (59.9%)Imbalance
도로노선번호 is highly imbalanced (83.3%)Imbalance
도로노선명 is highly imbalanced (75.8%)Imbalance
도로형태 is highly imbalanced (69.4%)Imbalance
차로수 is highly imbalanced (71.5%)Imbalance
주행제한속도 is highly imbalanced (82.7%)Imbalance
지주형식 is highly imbalanced (50.1%)Imbalance
소재지도로명주소 has 3408 (87.7%) missing valuesMissing
위도 is highly skewed (γ1 = 61.48131036)Skewed
경도 is highly skewed (γ1 = -62.27898295)Skewed
도로안전표지일련번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:00:24.294174
Analysis finished2023-12-12 22:00:27.196631
Duration2.9 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

도로안전표지일련번호
Real number (ℝ)

UNIQUE 

Distinct3887
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1944
Minimum1
Maximum3887
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.3 KiB
2023-12-13T07:00:27.256426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile195.3
Q1972.5
median1944
Q32915.5
95-th percentile3692.7
Maximum3887
Range3886
Interquartile range (IQR)1943

Descriptive statistics

Standard deviation1122.2246
Coefficient of variation (CV)0.57727602
Kurtosis-1.2
Mean1944
Median Absolute Deviation (MAD)972
Skewness0
Sum7556328
Variance1259388
MonotonicityStrictly increasing
2023-12-13T07:00:27.370385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2613 1
 
< 0.1%
2585 1
 
< 0.1%
2586 1
 
< 0.1%
2587 1
 
< 0.1%
2588 1
 
< 0.1%
2589 1
 
< 0.1%
2590 1
 
< 0.1%
2591 1
 
< 0.1%
2592 1
 
< 0.1%
Other values (3877) 3877
99.7%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
3887 1
< 0.1%
3886 1
< 0.1%
3885 1
< 0.1%
3884 1
< 0.1%
3883 1
< 0.1%
3882 1
< 0.1%
3881 1
< 0.1%
3880 1
< 0.1%
3879 1
< 0.1%
3878 1
< 0.1%

도로종류
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size30.5 KiB
데이터 미집계
3127 
시도
580 
국도
 
96
일반국도
 
65
지방도
 
19

Length

Max length7
Median length7
Mean length6.0607152
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row데이터 미집계
2nd row데이터 미집계
3rd row데이터 미집계
4th row데이터 미집계
5th row데이터 미집계

Common Values

ValueCountFrequency (%)
데이터 미집계 3127
80.4%
시도 580
 
14.9%
국도 96
 
2.5%
일반국도 65
 
1.7%
지방도 19
 
0.5%

Length

2023-12-13T07:00:27.481560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:00:27.567750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
데이터 3127
44.6%
미집계 3127
44.6%
시도 580
 
8.3%
국도 96
 
1.4%
일반국도 65
 
0.9%
지방도 19
 
0.3%

도로노선번호
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size30.5 KiB
데이터 미집계
3707 
77번
 
96
14번
 
65
1021번
 
19

Length

Max length7
Median length7
Mean length6.8245433
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row데이터 미집계
2nd row데이터 미집계
3rd row데이터 미집계
4th row데이터 미집계
5th row데이터 미집계

Common Values

ValueCountFrequency (%)
데이터 미집계 3707
95.4%
77번 96
 
2.5%
14번 65
 
1.7%
1021번 19
 
0.5%

Length

2023-12-13T07:00:27.667944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:00:27.765950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
데이터 3707
48.8%
미집계 3707
48.8%
77번 96
 
1.3%
14번 65
 
0.9%
1021번 19
 
0.3%

도로노선명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct46
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size30.5 KiB
데이터 미집계
3269 
안정로
 
101
남해안대로
 
64
공단로
 
53
통영해안로
 
41
Other values (41)
359 

Length

Max length7
Median length7
Mean length6.4911243
Min length3

Unique

Unique3 ?
Unique (%)0.1%

Sample

1st row데이터 미집계
2nd row데이터 미집계
3rd row데이터 미집계
4th row데이터 미집계
5th row데이터 미집계

Common Values

ValueCountFrequency (%)
데이터 미집계 3269
84.1%
안정로 101
 
2.6%
남해안대로 64
 
1.6%
공단로 53
 
1.4%
통영해안로 41
 
1.1%
중앙로 41
 
1.1%
신죽1길 40
 
1.0%
동문로 36
 
0.9%
죽림1로 34
 
0.9%
정량안길 21
 
0.5%
Other values (36) 187
 
4.8%

Length

2023-12-13T07:00:27.865556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
데이터 3269
45.7%
미집계 3269
45.7%
안정로 101
 
1.4%
남해안대로 64
 
0.9%
공단로 53
 
0.7%
통영해안로 41
 
0.6%
중앙로 41
 
0.6%
신죽1길 40
 
0.6%
동문로 36
 
0.5%
죽림1로 34
 
0.5%
Other values (37) 208
 
2.9%

도로형태
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size30.5 KiB
데이터 미집계
3456 
1
 
264
2
 
166
99
 
1

Length

Max length7
Median length7
Mean length6.3349627
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row데이터 미집계
2nd row데이터 미집계
3rd row데이터 미집계
4th row데이터 미집계
5th row데이터 미집계

Common Values

ValueCountFrequency (%)
데이터 미집계 3456
88.9%
1 264
 
6.8%
2 166
 
4.3%
99 1
 
< 0.1%

Length

2023-12-13T07:00:27.966784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:00:28.313432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
데이터 3456
47.1%
미집계 3456
47.1%
1 264
 
3.6%
2 166
 
2.3%
99 1
 
< 0.1%

차로수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size30.5 KiB
데이터 미집계
3379 
4
 
202
1
 
139
2
 
57
3
 
42
Other values (3)
 
68

Length

Max length7
Median length7
Mean length6.2158477
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row데이터 미집계
2nd row데이터 미집계
3rd row데이터 미집계
4th row데이터 미집계
5th row데이터 미집계

Common Values

ValueCountFrequency (%)
데이터 미집계 3379
86.9%
4 202
 
5.2%
1 139
 
3.6%
2 57
 
1.5%
3 42
 
1.1%
6 38
 
1.0%
5 19
 
0.5%
7 11
 
0.3%

Length

2023-12-13T07:00:28.416878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:00:28.513361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
데이터 3379
46.5%
미집계 3379
46.5%
4 202
 
2.8%
1 139
 
1.9%
2 57
 
0.8%
3 42
 
0.6%
6 38
 
0.5%
5 19
 
0.3%
7 11
 
0.2%

소재지도로명주소
Text

MISSING 

Distinct210
Distinct (%)43.8%
Missing3408
Missing (%)87.7%
Memory size30.5 KiB
2023-12-13T07:00:28.719001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length17.056367
Min length14

Characters and Unicode

Total characters8170
Distinct characters98
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

Unique103 ?
Unique (%)21.5%

Sample

1st row경상남도 통영시 원문로 16
2nd row경상남도 통영시 무전8길 21-8
3rd row경상남도 통영시 무전8길 21-8
4th row경상남도 통영시 무전8길 21-8
5th row경상남도 통영시 중앙로 317
ValueCountFrequency (%)
경상남도 479
25.0%
통영시 479
25.0%
산양일주로 37
 
1.9%
통영해안로 31
 
1.6%
236 28
 
1.5%
중앙로 26
 
1.4%
솔개3길 21
 
1.1%
평인일주로 21
 
1.1%
풍화일주로 19
 
1.0%
47-15 17
 
0.9%
Other values (229) 758
39.6%
2023-12-13T07:00:29.069258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1437
17.6%
도 526
 
6.4%
통 510
 
6.2%
영 510
 
6.2%
남 489
 
6.0%
상 488
 
6.0%
시 479
 
5.9%
경 479
 
5.9%
1 282
 
3.5%
로 244
 
3.0%
Other values (88) 2726
33.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5202
63.7%
Space Separator 1437
 
17.6%
Decimal Number 1409
 
17.2%
Dash Punctuation 122
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 526
10.1%
통 510
9.8%
영 510
9.8%
남 489
9.4%
상 488
9.4%
시 479
9.2%
경 479
9.2%
로 244
 
4.7%
길 235
 
4.5%
안 105
 
2.0%
Other values (76) 1137
21.9%
Decimal Number
ValueCountFrequency (%)
1 282
20.0%
2 205
14.5%
3 190
13.5%
7 129
9.2%
6 126
8.9%
4 124
8.8%
5 124
8.8%
8 95
 
6.7%
0 92
 
6.5%
9 42
 
3.0%
Space Separator
ValueCountFrequency (%)
1437
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 122
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5202
63.7%
Common 2968
36.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 526
10.1%
통 510
9.8%
영 510
9.8%
남 489
9.4%
상 488
9.4%
시 479
9.2%
경 479
9.2%
로 244
 
4.7%
길 235
 
4.5%
안 105
 
2.0%
Other values (76) 1137
21.9%
Common
ValueCountFrequency (%)
1437
48.4%
1 282
 
9.5%
2 205
 
6.9%
3 190
 
6.4%
7 129
 
4.3%
6 126
 
4.2%
4 124
 
4.2%
5 124
 
4.2%
- 122
 
4.1%
8 95
 
3.2%
Other values (2) 134
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5202
63.7%
ASCII 2968
36.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1437
48.4%
1 282
 
9.5%
2 205
 
6.9%
3 190
 
6.4%
7 129
 
4.3%
6 126
 
4.2%
4 124
 
4.2%
5 124
 
4.2%
- 122
 
4.1%
8 95
 
3.2%
Other values (2) 134
 
4.5%
Hangul
ValueCountFrequency (%)
도 526
10.1%
통 510
9.8%
영 510
9.8%
남 489
9.4%
상 488
9.4%
시 479
9.2%
경 479
9.2%
로 244
 
4.7%
길 235
 
4.5%
안 105
 
2.0%
Other values (76) 1137
21.9%

소재지지번주소
Text

Distinct1692
Distinct (%)43.5%
Missing0
Missing (%)0.0%
Memory size30.5 KiB
2023-12-13T07:00:29.355160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length19.280936
Min length14

Characters and Unicode

Total characters74945
Distinct characters66
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

Unique884 ?
Unique (%)22.7%

Sample

1st row경상남도 통영시 북신동 667
2nd row경상남도 통영시 북신동 671
3rd row경상남도 통영시 북신동 671
4th row경상남도 통영시 북신동 671
5th row경상남도 통영시 북신동 671
ValueCountFrequency (%)
경상남도 3886
22.7%
통영시 3883
22.7%
광도면 723
 
4.2%
무전동 486
 
2.8%
산양읍 485
 
2.8%
용남면 338
 
2.0%
죽림리 274
 
1.6%
도천동 266
 
1.6%
북신동 202
 
1.2%
안정리 184
 
1.1%
Other values (1644) 6384
37.3%
2023-12-13T07:00:29.779532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13224
17.6%
도 5042
 
6.7%
남 4586
 
6.1%
영 3967
 
5.3%
경 3887
 
5.2%
통 3887
 
5.2%
시 3887
 
5.2%
상 3887
 
5.2%
1 3270
 
4.4%
- 2626
 
3.5%
Other values (56) 26682
35.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 43503
58.0%
Decimal Number 15592
 
20.8%
Space Separator 13224
 
17.6%
Dash Punctuation 2626
 
3.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 5042
11.6%
남 4586
10.5%
영 3967
9.1%
경 3887
8.9%
통 3887
8.9%
시 3887
8.9%
상 3887
8.9%
동 2494
 
5.7%
리 1556
 
3.6%
면 1065
 
2.4%
Other values (44) 9245
21.3%
Decimal Number
ValueCountFrequency (%)
1 3270
21.0%
3 1860
11.9%
2 1830
11.7%
4 1404
9.0%
0 1395
8.9%
6 1321
8.5%
5 1260
 
8.1%
7 1218
 
7.8%
8 1032
 
6.6%
9 1002
 
6.4%
Space Separator
ValueCountFrequency (%)
13224
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2626
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 43503
58.0%
Common 31442
42.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 5042
11.6%
남 4586
10.5%
영 3967
9.1%
경 3887
8.9%
통 3887
8.9%
시 3887
8.9%
상 3887
8.9%
동 2494
 
5.7%
리 1556
 
3.6%
면 1065
 
2.4%
Other values (44) 9245
21.3%
Common
ValueCountFrequency (%)
13224
42.1%
1 3270
 
10.4%
- 2626
 
8.4%
3 1860
 
5.9%
2 1830
 
5.8%
4 1404
 
4.5%
0 1395
 
4.4%
6 1321
 
4.2%
5 1260
 
4.0%
7 1218
 
3.9%
Other values (2) 2034
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 43503
58.0%
ASCII 31442
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13224
42.1%
1 3270
 
10.4%
- 2626
 
8.4%
3 1860
 
5.9%
2 1830
 
5.8%
4 1404
 
4.5%
0 1395
 
4.4%
6 1321
 
4.2%
5 1260
 
4.0%
7 1218
 
3.9%
Other values (2) 2034
 
6.5%
Hangul
ValueCountFrequency (%)
도 5042
11.6%
남 4586
10.5%
영 3967
9.1%
경 3887
8.9%
통 3887
8.9%
시 3887
8.9%
상 3887
8.9%
동 2494
 
5.7%
리 1556
 
3.6%
면 1065
 
2.4%
Other values (44) 9245
21.3%

위도
Real number (ℝ)

SKEWED 

Distinct2631
Distinct (%)67.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9908.0047
Minimum34.756657
Maximum34884721
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.3 KiB
2023-12-13T07:00:29.919487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.756657
5-th percentile34.802346
Q134.836235
median34.850168
Q334.869036
95-th percentile34.946964
Maximum34884721
Range34884686
Interquartile range (IQR)0.03280075

Descriptive statistics

Standard deviation562317.76
Coefficient of variation (CV)56.753885
Kurtosis3810.5638
Mean9908.0047
Median Absolute Deviation (MAD)0.0150401
Skewness61.48131
Sum38512414
Variance3.1620126 × 1011
MonotonicityNot monotonic
2023-12-13T07:00:30.053035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.80686 20
 
0.5%
34.840992 17
 
0.4%
34.812457 10
 
0.3%
34.860087 8
 
0.2%
34.803761 8
 
0.2%
34.807006 8
 
0.2%
34.860195 7
 
0.2%
34.860376 7
 
0.2%
34.860076 7
 
0.2%
34.857522 6
 
0.2%
Other values (2621) 3789
97.5%
ValueCountFrequency (%)
34.756657 1
< 0.1%
34.762833 1
< 0.1%
34.763084 1
< 0.1%
34.76416 1
< 0.1%
34.76457 1
< 0.1%
34.765149 1
< 0.1%
34.765663 1
< 0.1%
34.765687 1
< 0.1%
34.765981 1
< 0.1%
34.767126 1
< 0.1%
ValueCountFrequency (%)
34884721.0 1
< 0.1%
3492266.0 1
< 0.1%
36.865844 1
< 0.1%
35.856988 1
< 0.1%
35.856836 1
< 0.1%
35.856565 1
< 0.1%
35.855788 1
< 0.1%
35.854932 1
< 0.1%
35.854856 1
< 0.1%
35.854785 1
< 0.1%

경도
Real number (ℝ)

SKEWED 

Distinct2601
Distinct (%)66.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.38995
Minimum12.840735
Maximum129.43532
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.3 KiB
2023-12-13T07:00:30.199476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12.840735
5-th percentile128.38713
Q1128.41016
median128.41932
Q3128.42715
95-th percentile128.44698
Maximum129.43532
Range116.59458
Interquartile range (IQR)0.016994

Descriptive statistics

Standard deviation1.8544958
Coefficient of variation (CV)0.014444245
Kurtosis3881.4724
Mean128.38995
Median Absolute Deviation (MAD)0.0083426
Skewness-62.278983
Sum499051.73
Variance3.4391548
MonotonicityNot monotonic
2023-12-13T07:00:30.354041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.409552 21
 
0.5%
128.431607 20
 
0.5%
128.433229 10
 
0.3%
128.431626 8
 
0.2%
128.426563 8
 
0.2%
128.432137 8
 
0.2%
128.427905 7
 
0.2%
128.423864 7
 
0.2%
128.424981 7
 
0.2%
128.426361 6
 
0.2%
Other values (2591) 3785
97.4%
ValueCountFrequency (%)
12.84073482 1
< 0.1%
128.339227 1
< 0.1%
128.339401 1
< 0.1%
128.339973 2
0.1%
128.340251 1
< 0.1%
128.340267 1
< 0.1%
128.340371 2
0.1%
128.340567 1
< 0.1%
128.340596 1
< 0.1%
128.340977 1
< 0.1%
ValueCountFrequency (%)
129.435319 1
 
< 0.1%
129.433376 1
 
< 0.1%
129.433012 1
 
< 0.1%
129.432945 1
 
< 0.1%
129.431988 1
 
< 0.1%
129.431843 1
 
< 0.1%
129.430657 1
 
< 0.1%
129.4306 1
 
< 0.1%
128.470398 4
0.1%
128.470161 1
 
< 0.1%

도로안전표지구분
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size30.5 KiB
2
1482 
1
1062 
3
786 
4
531 
99
 
26

Length

Max length2
Median length1
Mean length1.006689
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row2
3rd row4
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 1482
38.1%
1 1062
27.3%
3 786
20.2%
4 531
 
13.7%
99 26
 
0.7%

Length

2023-12-13T07:00:30.480043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:00:30.616022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 1482
38.1%
1 1062
27.3%
3 786
20.2%
4 531
 
13.7%
99 26
 
0.7%

도로안전표지종별일련번호
Text

Distinct97
Distinct (%)2.5%
Missing35
Missing (%)0.9%
Memory size30.5 KiB
2023-12-13T07:00:30.839674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.0015576
Min length3

Characters and Unicode

Total characters11562
Distinct characters12
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

Unique10 ?
Unique (%)0.3%

Sample

1st row325
2nd row225
3rd row427
4th row226
5th row214
ValueCountFrequency (%)
218 554
 
14.4%
322 383
 
9.9%
224 357
 
9.3%
129 253
 
6.6%
226 235
 
6.1%
428 162
 
4.2%
132 141
 
3.7%
111 87
 
2.3%
329 72
 
1.9%
112 71
 
1.8%
Other values (87) 1537
39.9%
2023-12-13T07:00:31.232560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 4113
35.6%
1 2554
22.1%
3 1254
 
10.8%
4 1144
 
9.9%
8 876
 
7.6%
0 453
 
3.9%
9 424
 
3.7%
6 309
 
2.7%
7 217
 
1.9%
5 215
 
1.9%
Other values (2) 3
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11559
> 99.9%
Dash Punctuation 2
 
< 0.1%
Other Letter 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 4113
35.6%
1 2554
22.1%
3 1254
 
10.8%
4 1144
 
9.9%
8 876
 
7.6%
0 453
 
3.9%
9 424
 
3.7%
6 309
 
2.7%
7 217
 
1.9%
5 215
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Letter
ValueCountFrequency (%)
의 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11561
> 99.9%
Hangul 1
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
2 4113
35.6%
1 2554
22.1%
3 1254
 
10.8%
4 1144
 
9.9%
8 876
 
7.6%
0 453
 
3.9%
9 424
 
3.7%
6 309
 
2.7%
7 217
 
1.9%
5 215
 
1.9%
Hangul
ValueCountFrequency (%)
의 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11561
> 99.9%
Hangul 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 4113
35.6%
1 2554
22.1%
3 1254
 
10.8%
4 1144
 
9.9%
8 876
 
7.6%
0 453
 
3.9%
9 424
 
3.7%
6 309
 
2.7%
7 217
 
1.9%
5 215
 
1.9%
Hangul
ValueCountFrequency (%)
의 1
100.0%

주행제한속도
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size30.5 KiB
데이터 미집계
3617 
30
 
95
50
 
81
40
 
38
60
 
27
Other values (3)
 
29

Length

Max length7
Median length7
Mean length6.6526884
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row데이터 미집계
2nd row40
3rd row50
4th row데이터 미집계
5th row데이터 미집계

Common Values

ValueCountFrequency (%)
데이터 미집계 3617
93.1%
30 95
 
2.4%
50 81
 
2.1%
40 38
 
1.0%
60 27
 
0.7%
70 23
 
0.6%
80 5
 
0.1%
10 1
 
< 0.1%

Length

2023-12-13T07:00:31.358758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:00:31.473349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
데이터 3617
48.2%
미집계 3617
48.2%
30 95
 
1.3%
50 81
 
1.1%
40 38
 
0.5%
60 27
 
0.4%
70 23
 
0.3%
80 5
 
0.1%
10 1
 
< 0.1%

도로안전표지설명
Text

Distinct318
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size30.5 KiB
2023-12-13T07:00:31.721061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length28
Mean length6.0869565
Min length2

Characters and Unicode

Total characters23660
Distinct characters258
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique137 ?
Unique (%)3.5%

Sample

1st row자전거횡단도
2nd row최고속도제한
3rd row해제
4th row서행
5th row좌회전금지
ValueCountFrequency (%)
횡단보도 523
 
12.8%
과속방지턱 253
 
6.2%
최고속도제한 244
 
6.0%
서행 235
 
5.8%
정차·주차금지 235
 
5.8%
정차,주차금지 174
 
4.3%
견인지역 159
 
3.9%
우로굽은도로 89
 
2.2%
주정차금지 76
 
1.9%
비보호좌회전 70
 
1.7%
Other values (325) 2022
49.6%
2023-12-13T07:00:32.065469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
도 1362
 
5.8%
차 1342
 
5.7%
지 1276
 
5.4%
보 835
 
3.5%
로 806
 
3.4%
금 805
 
3.4%
주 656
 
2.8%
속 642
 
2.7%
횡 601
 
2.5%
단 601
 
2.5%
Other values (248) 14734
62.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20671
87.4%
Decimal Number 804
 
3.4%
Other Punctuation 638
 
2.7%
Open Punctuation 561
 
2.4%
Close Punctuation 560
 
2.4%
Space Separator 201
 
0.8%
Lowercase Letter 104
 
0.4%
Uppercase Letter 82
 
0.3%
Math Symbol 31
 
0.1%
Dash Punctuation 4
 
< 0.1%
Other values (2) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 1362
 
6.6%
차 1342
 
6.5%
지 1276
 
6.2%
보 835
 
4.0%
로 806
 
3.9%
금 805
 
3.9%
주 656
 
3.2%
속 642
 
3.1%
횡 601
 
2.9%
단 601
 
2.9%
Other values (214) 11745
56.8%
Decimal Number
ValueCountFrequency (%)
0 379
47.1%
3 91
 
11.3%
5 82
 
10.2%
1 79
 
9.8%
4 62
 
7.7%
2 38
 
4.7%
9 33
 
4.1%
7 17
 
2.1%
6 15
 
1.9%
8 8
 
1.0%
Other Punctuation
ValueCountFrequency (%)
· 243
38.1%
, 208
32.6%
. 93
 
14.6%
% 42
 
6.6%
: 30
 
4.7%
' 16
 
2.5%
/ 6
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
M 51
62.2%
T 14
 
17.1%
K 11
 
13.4%
Y 4
 
4.9%
X 2
 
2.4%
Lowercase Letter
ValueCountFrequency (%)
m 89
85.6%
t 8
 
7.7%
k 7
 
6.7%
Math Symbol
ValueCountFrequency (%)
~ 24
77.4%
↔ 4
 
12.9%
+ 3
 
9.7%
Open Punctuation
ValueCountFrequency (%)
( 561
100.0%
Close Punctuation
ValueCountFrequency (%)
) 560
100.0%
Space Separator
ValueCountFrequency (%)
201
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Symbol
ValueCountFrequency (%)
┼ 2
100.0%
Control
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20671
87.4%
Common 2803
 
11.8%
Latin 186
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 1362
 
6.6%
차 1342
 
6.5%
지 1276
 
6.2%
보 835
 
4.0%
로 806
 
3.9%
금 805
 
3.9%
주 656
 
3.2%
속 642
 
3.1%
횡 601
 
2.9%
단 601
 
2.9%
Other values (214) 11745
56.8%
Common
ValueCountFrequency (%)
( 561
20.0%
) 560
20.0%
0 379
13.5%
· 243
8.7%
, 208
 
7.4%
201
 
7.2%
. 93
 
3.3%
3 91
 
3.2%
5 82
 
2.9%
1 79
 
2.8%
Other values (16) 306
10.9%
Latin
ValueCountFrequency (%)
m 89
47.8%
M 51
27.4%
T 14
 
7.5%
K 11
 
5.9%
t 8
 
4.3%
k 7
 
3.8%
Y 4
 
2.2%
X 2
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20610
87.1%
ASCII 2740
 
11.6%
None 243
 
1.0%
Compat Jamo 61
 
0.3%
Arrows 4
 
< 0.1%
Box Drawing 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
도 1362
 
6.6%
차 1342
 
6.5%
지 1276
 
6.2%
보 835
 
4.1%
로 806
 
3.9%
금 805
 
3.9%
주 656
 
3.2%
속 642
 
3.1%
횡 601
 
2.9%
단 601
 
2.9%
Other values (211) 11684
56.7%
ASCII
ValueCountFrequency (%)
( 561
20.5%
) 560
20.4%
0 379
13.8%
, 208
 
7.6%
201
 
7.3%
. 93
 
3.4%
3 91
 
3.3%
m 89
 
3.2%
5 82
 
3.0%
1 79
 
2.9%
Other values (21) 397
14.5%
None
ValueCountFrequency (%)
· 243
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅏ 30
49.2%
ㅓ 26
42.6%
ㅜ 5
 
8.2%
Arrows
ValueCountFrequency (%)
↔ 4
100.0%
Box Drawing
ValueCountFrequency (%)
┼ 2
100.0%

지주형식
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size30.5 KiB
데이터 미집계
3092 
1
447 
3
 
277
2
 
71

Length

Max length7
Median length7
Mean length5.7728325
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row데이터 미집계
2nd row데이터 미집계
3rd row데이터 미집계
4th row데이터 미집계
5th row데이터 미집계

Common Values

ValueCountFrequency (%)
데이터 미집계 3092
79.5%
1 447
 
11.5%
3 277
 
7.1%
2 71
 
1.8%

Length

2023-12-13T07:00:32.187694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:00:32.299783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
데이터 3092
44.3%
미집계 3092
44.3%
1 447
 
6.4%
3 277
 
4.0%
2 71
 
1.0%

제2외국어표기여부
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size30.5 KiB
데이터 미집계
2457 
N
1351 
Y
 
79

Length

Max length7
Median length7
Mean length4.7926421
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
데이터 미집계 2457
63.2%
N 1351
34.8%
Y 79
 
2.0%

Length

2023-12-13T07:00:32.404825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:00:32.497084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
데이터 2457
38.7%
미집계 2457
38.7%
n 1351
21.3%
y 79
 
1.2%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size30.5 KiB
경상남도 통영시
3887 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경상남도 통영시
2nd row경상남도 통영시
3rd row경상남도 통영시
4th row경상남도 통영시
5th row경상남도 통영시

Common Values

ValueCountFrequency (%)
경상남도 통영시 3887
100.0%

Length

2023-12-13T07:00:32.587351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:00:32.674411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 3887
50.0%
통영시 3887
50.0%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size30.5 KiB
055-650-5332
3887 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row055-650-5332
2nd row055-650-5332
3rd row055-650-5332
4th row055-650-5332
5th row055-650-5332

Common Values

ValueCountFrequency (%)
055-650-5332 3887
100.0%

Length

2023-12-13T07:00:32.758417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:00:32.845279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
055-650-5332 3887
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size30.5 KiB
2023-10-17
3887 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-10-17
2nd row2023-10-17
3rd row2023-10-17
4th row2023-10-17
5th row2023-10-17

Common Values

ValueCountFrequency (%)
2023-10-17 3887
100.0%

Length

2023-12-13T07:00:32.944282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:00:33.031810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-10-17 3887
100.0%

Interactions

2023-12-13T07:00:26.506791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:00:25.852475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:00:26.184122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:00:26.598229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:00:25.970871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:00:26.302845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:00:26.704899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:00:26.093733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:00:26.402585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:00:33.102758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도로안전표지일련번호도로종류도로노선번호도로노선명도로형태차로수위도경도도로안전표지구분도로안전표지종별일련번호주행제한속도지주형식제2외국어표기여부
도로안전표지일련번호1.0000.7820.5640.7770.5990.5290.0000.0000.4020.6040.2280.5790.560
도로종류0.7821.0001.0000.9610.5430.7330.0000.1850.1170.4650.2250.6380.518
도로노선번호0.5641.0001.0000.9510.5250.7980.0000.3400.0210.4350.3260.5980.216
도로노선명0.7770.9610.9511.0000.8680.9460.0000.0000.1920.6640.3600.8510.672
도로형태0.5990.5430.5250.8681.0000.8860.0000.0000.1070.4000.1560.7820.339
차로수0.5290.7330.7980.9460.8861.0000.0000.2080.1410.6140.3020.8110.494
위도0.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.000
경도0.0000.1850.3400.0000.0000.2080.0001.0000.0000.0000.0000.0530.000
도로안전표지구분0.4020.1170.0210.1920.1070.1410.0000.0001.0000.9990.2650.1320.297
도로안전표지종별일련번호0.6040.4650.4350.6640.4000.6140.0000.0000.9991.0000.6330.4610.770
주행제한속도0.2280.2250.3260.3600.1560.3020.0000.0000.2650.6331.0000.2450.119
지주형식0.5790.6380.5980.8510.7820.8110.0000.0530.1320.4610.2451.0000.487
제2외국어표기여부0.5600.5180.2160.6720.3390.4940.0000.0000.2970.7700.1190.4871.000
2023-12-13T07:00:33.239253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도로노선명도로안전표지구분주행제한속도도로노선번호제2외국어표기여부도로종류도로형태지주형식차로수
도로노선명1.0000.0880.1440.7990.4320.8150.6340.6080.735
도로안전표지구분0.0881.0000.1660.0170.2350.0440.0870.1080.086
주행제한속도0.1440.1661.0000.1510.0750.1390.0710.1120.105
도로노선번호0.7990.0170.1511.0000.2051.0000.2270.2690.464
제2외국어표기여부0.4320.2350.0750.2051.0000.4550.3280.4840.361
도로종류0.8150.0440.1391.0000.4551.0000.4700.5670.567
도로형태0.6340.0870.0710.2270.3280.4701.0000.4200.575
지주형식0.6080.1080.1120.2690.4840.5670.4201.0000.478
차로수0.7350.0860.1050.4640.3610.5670.5750.4781.000
2023-12-13T07:00:33.382819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도로안전표지일련번호위도경도도로종류도로노선번호도로노선명도로형태차로수도로안전표지구분주행제한속도지주형식제2외국어표기여부
도로안전표지일련번호1.0000.208-0.2420.4380.3730.3940.4030.2860.1780.1110.3860.403
위도0.2081.0000.2620.0000.0000.0000.0000.0000.0000.0000.0000.000
경도-0.2420.2621.0000.2270.2270.0000.0000.1560.0000.0000.0350.000
도로종류0.4380.0000.2271.0001.0000.8150.4700.5670.0440.1390.5670.455
도로노선번호0.3730.0000.2271.0001.0000.7990.2270.4640.0170.1510.2690.205
도로노선명0.3940.0000.0000.8150.7991.0000.6340.7350.0880.1440.6080.432
도로형태0.4030.0000.0000.4700.2270.6341.0000.5750.0870.0710.4200.328
차로수0.2860.0000.1560.5670.4640.7350.5751.0000.0860.1050.4780.361
도로안전표지구분0.1780.0000.0000.0440.0170.0880.0870.0861.0000.1660.1080.235
주행제한속도0.1110.0000.0000.1390.1510.1440.0710.1050.1661.0000.1120.075
지주형식0.3860.0000.0350.5670.2690.6080.4200.4780.1080.1121.0000.484
제2외국어표기여부0.4030.0000.0000.4550.2050.4320.3280.3610.2350.0750.4841.000

Missing values

2023-12-13T07:00:26.831352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:00:27.034570image/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.
2023-12-13T07:00:27.150269image/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

도로안전표지일련번호도로종류도로노선번호도로노선명도로형태차로수소재지도로명주소소재지지번주소위도경도도로안전표지구분도로안전표지종별일련번호주행제한속도도로안전표지설명지주형식제2외국어표기여부관리기관명관리기관전화번호데이터기준일자
01데이터 미집계데이터 미집계데이터 미집계데이터 미집계데이터 미집계<NA>경상남도 통영시 북신동 66734.856708128.4283273325데이터 미집계자전거횡단도데이터 미집계N경상남도 통영시055-650-53322023-10-17
12데이터 미집계데이터 미집계데이터 미집계데이터 미집계데이터 미집계<NA>경상남도 통영시 북신동 67134.856544128.428521222540최고속도제한데이터 미집계N경상남도 통영시055-650-53322023-10-17
23데이터 미집계데이터 미집계데이터 미집계데이터 미집계데이터 미집계<NA>경상남도 통영시 북신동 67134.856544128.428521442750해제데이터 미집계N경상남도 통영시055-650-53322023-10-17
34데이터 미집계데이터 미집계데이터 미집계데이터 미집계데이터 미집계<NA>경상남도 통영시 북신동 67134.855996128.4285972226데이터 미집계서행데이터 미집계N경상남도 통영시055-650-53322023-10-17
45데이터 미집계데이터 미집계데이터 미집계데이터 미집계데이터 미집계<NA>경상남도 통영시 북신동 67134.855524128.4286672214데이터 미집계좌회전금지데이터 미집계N경상남도 통영시055-650-53322023-10-17
56데이터 미집계데이터 미집계데이터 미집계데이터 미집계데이터 미집계<NA>경상남도 통영시 북신동 67134.855391128.4286812218데이터 미집계정차,주자금지데이터 미집계N경상남도 통영시055-650-53322023-10-17
67데이터 미집계데이터 미집계데이터 미집계데이터 미집계데이터 미집계<NA>경상남도 통영시 북신동 67134.855391128.4286814428데이터 미집계견인지역데이터 미집계N경상남도 통영시055-650-53322023-10-17
78데이터 미집계데이터 미집계데이터 미집계데이터 미집계데이터 미집계<NA>경상남도 통영시 북신동 67134.854799128.4287512218데이터 미집계정차,주자금지데이터 미집계N경상남도 통영시055-650-53322023-10-17
89데이터 미집계데이터 미집계데이터 미집계데이터 미집계데이터 미집계<NA>경상남도 통영시 북신동 67134.854285128.428813329데이터 미집계비보호좌회전데이터 미집계N경상남도 통영시055-650-53322023-10-17
910데이터 미집계데이터 미집계데이터 미집계데이터 미집계데이터 미집계<NA>경상남도 통영시 북신동 67134.854285128.428812216데이터 미집계유턴금지데이터 미집계N경상남도 통영시055-650-53322023-10-17
도로안전표지일련번호도로종류도로노선번호도로노선명도로형태차로수소재지도로명주소소재지지번주소위도경도도로안전표지구분도로안전표지종별일련번호주행제한속도도로안전표지설명지주형식제2외국어표기여부관리기관명관리기관전화번호데이터기준일자
38773878데이터 미집계데이터 미집계데이터 미집계데이터 미집계데이터 미집계<NA>경상남도 통영시 광도면 황리 1250-734.95865128.4079471224데이터 미집계최고속도제한데이터 미집계데이터 미집계경상남도 통영시055-650-53322023-10-17
38783879데이터 미집계데이터 미집계데이터 미집계데이터 미집계데이터 미집계<NA>경상남도 통영시 봉평동 297-434.824138128.4152441129데이터 미집계과속방지턱데이터 미집계데이터 미집계경상남도 통영시055-650-53322023-10-17
38793880데이터 미집계데이터 미집계데이터 미집계데이터 미집계데이터 미집계<NA>경상남도 통영시 봉평동 361-234.822818128.4150331129데이터 미집계과속방지턱데이터 미집계데이터 미집계경상남도 통영시055-650-53322023-10-17
38803881데이터 미집계데이터 미집계데이터 미집계데이터 미집계데이터 미집계<NA>경상남도 통영시 북신동 67134.854573128.4287091224데이터 미집계최고속도제한데이터 미집계데이터 미집계경상남도 통영시055-650-53322023-10-17
38813882데이터 미집계데이터 미집계데이터 미집계데이터 미집계데이터 미집계<NA>경상남도 통영시 미수동 31234.832622128.4098541129데이터 미집계과속방지턱데이터 미집계데이터 미집계경상남도 통영시055-650-53322023-10-17
38823883데이터 미집계데이터 미집계데이터 미집계데이터 미집계데이터 미집계<NA>경상남도 통영시 미수동1234.832506128.4112431129데이터 미집계과속방지턱데이터 미집계데이터 미집계경상남도 통영시055-650-53322023-10-17
38833884데이터 미집계데이터 미집계데이터 미집계데이터 미집계데이터 미집계<NA>경상남도 통영시 항남동 129-234.839868128.4236911218데이터 미집계주정차금지데이터 미집계데이터 미집계경상남도 통영시055-650-53322023-10-17
38843885데이터 미집계데이터 미집계데이터 미집계데이터 미집계데이터 미집계<NA>경상남도 통영시 항남동 129-234.840259128.4235581218데이터 미집계주정차금지데이터 미집계데이터 미집계경상남도 통영시055-650-53322023-10-17
38853886데이터 미집계데이터 미집계데이터 미집계데이터 미집계데이터 미집계<NA>경상남도 통영시 미수동 1134.832617128.4104351129데이터 미집계과속방지턱데이터 미집계데이터 미집계경상남도 통영시055-650-53322023-10-17
38863887데이터 미집계데이터 미집계데이터 미집계데이터 미집계데이터 미집계<NA>경상남도 통영시 미수동 1234.83259128.4113321129데이터 미집계과속방지턱데이터 미집계데이터 미집계경상남도 통영시055-650-53322023-10-17