Overview

Dataset statistics

Number of variables14
Number of observations502
Missing cells3
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory57.0 KiB
Average record size in memory116.3 B

Variable types

Numeric3
Categorical7
Text3
DateTime1

Dataset

Description보령시에 설치된 도로 안전 표지판에 대한 현황 데이터로 도로종류, 도로노선번호, 도로노선명, 차로수, 소재지지번주소, 위도, 경도, 도로안전표지구분, 도로안전표지종별일련번호, 도로안전표지설명, 관리기관명, 관리기관 전화번호, 데이터기준일자를 제공합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=331&beforeMenuCd=DOM_000000201001001000&publicdatapk=15088947

Alerts

도로종류 has constant value ""Constant
도로노선번호 has constant value ""Constant
도로노선명 has constant value ""Constant
관리기관명 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
일련번호 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
위도 is highly overall correlated with 일련번호 and 1 other fieldsHigh correlation
경도 is highly overall correlated with 차로수High correlation
차로수 is highly overall correlated with 일련번호 and 2 other fieldsHigh correlation
일련번호 has unique valuesUnique

Reproduction

Analysis started2024-01-09 23:00:36.130926
Analysis finished2024-01-09 23:00:37.692367
Duration1.56 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일련번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct502
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean251.5
Minimum1
Maximum502
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-10T08:00:37.762011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile26.05
Q1126.25
median251.5
Q3376.75
95-th percentile476.95
Maximum502
Range501
Interquartile range (IQR)250.5

Descriptive statistics

Standard deviation145.05918
Coefficient of variation (CV)0.57677608
Kurtosis-1.2
Mean251.5
Median Absolute Deviation (MAD)125.5
Skewness0
Sum126253
Variance21042.167
MonotonicityStrictly increasing
2024-01-10T08:00:37.883028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
332 1
 
0.2%
345 1
 
0.2%
344 1
 
0.2%
343 1
 
0.2%
342 1
 
0.2%
341 1
 
0.2%
340 1
 
0.2%
339 1
 
0.2%
338 1
 
0.2%
Other values (492) 492
98.0%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
502 1
0.2%
501 1
0.2%
500 1
0.2%
499 1
0.2%
498 1
0.2%
497 1
0.2%
496 1
0.2%
495 1
0.2%
494 1
0.2%
493 1
0.2%

도로종류
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
국도
502 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국도 502
100.0%

Length

2024-01-10T08:00:37.994403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T08:00:38.069481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국도 502
100.0%

도로노선번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
21번
502 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row21번
2nd row21번
3rd row21번
4th row21번
5th row21번

Common Values

ValueCountFrequency (%)
21번 502
100.0%

Length

2024-01-10T08:00:38.147600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T08:00:38.227098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
21번 502
100.0%

도로노선명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
충서로
502 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
충서로 502
100.0%

Length

2024-01-10T08:00:38.305271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T08:00:38.383220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충서로 502
100.0%

차로수
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2
384 
1
118 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 384
76.5%
1 118
 
23.5%

Length

2024-01-10T08:00:38.465907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T08:00:38.548943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 384
76.5%
1 118
 
23.5%

소재지지번주소
Text

Distinct427
Distinct (%)85.1%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2024-01-10T08:00:38.781369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length19.462151
Min length14

Characters and Unicode

Total characters9770
Distinct characters59
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

Unique358 ?
Unique (%)71.3%

Sample

1st row충남 보령시 청소면 죽림리 415-85
2nd row충남 보령시 청소면 죽림리 415-77
3rd row충남 보령시 청소면 죽림리 877
4th row충남 보령시 청소면 죽림리 826-1
5th row충남 보령시 청소면 죽림리 827-4
ValueCountFrequency (%)
충남 502
20.2%
보령시 502
20.2%
주포면 110
 
4.4%
청소면 89
 
3.6%
웅천읍 79
 
3.2%
주산면 71
 
2.9%
남포면 65
 
2.6%
관산리 42
 
1.7%
두룡리 40
 
1.6%
주교면 32
 
1.3%
Other values (450) 952
38.3%
2024-01-10T08:00:39.182122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1982
20.3%
남 567
 
5.8%
보 523
 
5.4%
령 523
 
5.4%
충 502
 
5.1%
시 502
 
5.1%
- 455
 
4.7%
리 446
 
4.6%
면 367
 
3.8%
1 308
 
3.2%
Other values (49) 3595
36.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5384
55.1%
Space Separator 1982
 
20.3%
Decimal Number 1949
 
19.9%
Dash Punctuation 455
 
4.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 567
10.5%
보 523
 
9.7%
령 523
 
9.7%
충 502
 
9.3%
시 502
 
9.3%
리 446
 
8.3%
면 367
 
6.8%
주 219
 
4.1%
포 175
 
3.3%
산 162
 
3.0%
Other values (37) 1398
26.0%
Decimal Number
ValueCountFrequency (%)
1 308
15.8%
2 291
14.9%
4 227
11.6%
3 220
11.3%
6 207
10.6%
8 164
8.4%
5 154
7.9%
7 154
7.9%
9 126
6.5%
0 98
 
5.0%
Space Separator
ValueCountFrequency (%)
1982
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 455
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5384
55.1%
Common 4386
44.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 567
10.5%
보 523
 
9.7%
령 523
 
9.7%
충 502
 
9.3%
시 502
 
9.3%
리 446
 
8.3%
면 367
 
6.8%
주 219
 
4.1%
포 175
 
3.3%
산 162
 
3.0%
Other values (37) 1398
26.0%
Common
ValueCountFrequency (%)
1982
45.2%
- 455
 
10.4%
1 308
 
7.0%
2 291
 
6.6%
4 227
 
5.2%
3 220
 
5.0%
6 207
 
4.7%
8 164
 
3.7%
5 154
 
3.5%
7 154
 
3.5%
Other values (2) 224
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5384
55.1%
ASCII 4386
44.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1982
45.2%
- 455
 
10.4%
1 308
 
7.0%
2 291
 
6.6%
4 227
 
5.2%
3 220
 
5.0%
6 207
 
4.7%
8 164
 
3.7%
5 154
 
3.5%
7 154
 
3.5%
Other values (2) 224
 
5.1%
Hangul
ValueCountFrequency (%)
남 567
10.5%
보 523
 
9.7%
령 523
 
9.7%
충 502
 
9.3%
시 502
 
9.3%
리 446
 
8.3%
면 367
 
6.8%
주 219
 
4.1%
포 175
 
3.3%
산 162
 
3.0%
Other values (37) 1398
26.0%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct425
Distinct (%)84.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.340201
Minimum36.174325
Maximum36.482856
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-10T08:00:39.313834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.174325
5-th percentile36.196247
Q136.264689
median36.361496
Q336.413431
95-th percentile36.469347
Maximum36.482856
Range0.30853057
Interquartile range (IQR)0.1487416

Descriptive statistics

Standard deviation0.090525897
Coefficient of variation (CV)0.0024910676
Kurtosis-1.1993804
Mean36.340201
Median Absolute Deviation (MAD)0.068418975
Skewness-0.26560569
Sum18242.781
Variance0.0081949379
MonotonicityNot monotonic
2024-01-10T08:00:39.444294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.38388206 3
 
0.6%
36.40483298 3
 
0.6%
36.18044682 3
 
0.6%
36.23297377 3
 
0.6%
36.34531083 3
 
0.6%
36.36639886 3
 
0.6%
36.22772017 3
 
0.6%
36.35517317 2
 
0.4%
36.40427816 2
 
0.4%
36.21792016 2
 
0.4%
Other values (415) 475
94.6%
ValueCountFrequency (%)
36.17432536 1
0.2%
36.17444955 1
0.2%
36.17447907 1
0.2%
36.17534794 1
0.2%
36.17548137 1
0.2%
36.17576704 1
0.2%
36.17662599 1
0.2%
36.17706349 1
0.2%
36.17729785 1
0.2%
36.17760653 1
0.2%
ValueCountFrequency (%)
36.48285593 1
0.2%
36.48265537 1
0.2%
36.47948451 1
0.2%
36.47821598 1
0.2%
36.47690927 1
0.2%
36.47675506 1
0.2%
36.47654154 1
0.2%
36.47623204 1
0.2%
36.47613253 1
0.2%
36.47611881 1
0.2%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct427
Distinct (%)85.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.59951
Minimum126.56864
Maximum126.63375
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-10T08:00:39.569933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.56864
5-th percentile126.56919
Q1126.58752
median126.59787
Q3126.61439
95-th percentile126.63077
Maximum126.63375
Range0.0651062
Interquartile range (IQR)0.026874125

Descriptive statistics

Standard deviation0.018271192
Coefficient of variation (CV)0.00014432277
Kurtosis-0.92115215
Mean126.59951
Median Absolute Deviation (MAD)0.0147074
Skewness0.021062714
Sum63552.952
Variance0.00033383646
MonotonicityNot monotonic
2024-01-10T08:00:39.691877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.6031357 3
 
0.6%
126.6126649 3
 
0.6%
126.572359 3
 
0.6%
126.6219826 3
 
0.6%
126.6244977 3
 
0.6%
126.598651 3
 
0.6%
126.5820697 3
 
0.6%
126.5691409 2
 
0.4%
126.585915 2
 
0.4%
126.5726017 2
 
0.4%
Other values (417) 475
94.6%
ValueCountFrequency (%)
126.5686416 1
0.2%
126.56865 1
0.2%
126.5686947 1
0.2%
126.5687207 1
0.2%
126.5687689 1
0.2%
126.5687721 2
0.4%
126.5687868 1
0.2%
126.5688522 1
0.2%
126.5688635 1
0.2%
126.5688682 1
0.2%
ValueCountFrequency (%)
126.6337478 1
0.2%
126.6336718 1
0.2%
126.6336447 2
0.4%
126.6335953 1
0.2%
126.6335291 1
0.2%
126.6334856 1
0.2%
126.6334455 1
0.2%
126.6334232 2
0.4%
126.6331827 1
0.2%
126.63294 1
0.2%

도로안전표지구분
Categorical

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
지시표지
179 
규제표지
156 
주의표지
148 
보조표지
19 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row규제표지
2nd row주의표지
3rd row주의표지
4th row규제표지
5th row주의표지

Common Values

ValueCountFrequency (%)
지시표지 179
35.7%
규제표지 156
31.1%
주의표지 148
29.5%
보조표지 19
 
3.8%

Length

2024-01-10T08:00:39.806742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T08:00:40.180048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지시표지 179
35.7%
규제표지 156
31.1%
주의표지 148
29.5%
보조표지 19
 
3.8%

도로안전표지종별일련번호
Text

Distinct60
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2024-01-10T08:00:40.343394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.0039841
Min length3

Characters and Unicode

Total characters1508
Distinct characters11
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

Unique10 ?
Unique (%)2.0%

Sample

1st row224
2nd row124
3rd row107
4th row228
5th row132
ValueCountFrequency (%)
224 81
 
16.1%
313 36
 
7.2%
329 33
 
6.6%
322 24
 
4.8%
303 23
 
4.6%
308 21
 
4.2%
228 20
 
4.0%
226 20
 
4.0%
130 17
 
3.4%
107 16
 
3.2%
Other values (50) 211
42.0%
2024-01-10T08:00:40.654109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 464
30.8%
3 309
20.5%
1 295
19.6%
4 134
 
8.9%
0 118
 
7.8%
9 50
 
3.3%
8 47
 
3.1%
6 32
 
2.1%
7 32
 
2.1%
5 26
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1507
99.9%
Other Letter 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 464
30.8%
3 309
20.5%
1 295
19.6%
4 134
 
8.9%
0 118
 
7.8%
9 50
 
3.3%
8 47
 
3.1%
6 32
 
2.1%
7 32
 
2.1%
5 26
 
1.7%
Other Letter
ValueCountFrequency (%)
의 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1507
99.9%
Hangul 1
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
2 464
30.8%
3 309
20.5%
1 295
19.6%
4 134
 
8.9%
0 118
 
7.8%
9 50
 
3.3%
8 47
 
3.1%
6 32
 
2.1%
7 32
 
2.1%
5 26
 
1.7%
Hangul
ValueCountFrequency (%)
의 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1507
99.9%
Hangul 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 464
30.8%
3 309
20.5%
1 295
19.6%
4 134
 
8.9%
0 118
 
7.8%
9 50
 
3.3%
8 47
 
3.1%
6 32
 
2.1%
7 32
 
2.1%
5 26
 
1.7%
Hangul
ValueCountFrequency (%)
의 1
100.0%

도로안전표지설명
Text

Distinct56
Distinct (%)11.2%
Missing3
Missing (%)0.6%
Memory size4.1 KiB
2024-01-10T08:00:40.836886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length5.3907816
Min length2

Characters and Unicode

Total characters2690
Distinct characters107
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)1.8%

Sample

1st row최고속도제한
2nd row중앙분리대끝남
3rd row우합류도로
4th row양보
5th row횡단보도
ValueCountFrequency (%)
최고속도제한 81
16.2%
횡단보도 38
 
7.6%
우측방통행 37
 
7.4%
비보호좌회전 33
 
6.6%
자전거및보행자전용도로 23
 
4.6%
직진및우회전 21
 
4.2%
서행 20
 
4.0%
양보 20
 
4.0%
낙석도로 17
 
3.4%
우합류도로 16
 
3.2%
Other values (46) 193
38.7%
2024-01-10T08:00:41.159075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
도 222
 
8.3%
전 136
 
5.1%
보 133
 
4.9%
로 121
 
4.5%
우 109
 
4.1%
행 88
 
3.3%
제 88
 
3.3%
한 88
 
3.3%
최 81
 
3.0%
속 81
 
3.0%
Other values (97) 1543
57.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2674
99.4%
Close Punctuation 7
 
0.3%
Open Punctuation 7
 
0.3%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 222
 
8.3%
전 136
 
5.1%
보 133
 
5.0%
로 121
 
4.5%
우 109
 
4.1%
행 88
 
3.3%
제 88
 
3.3%
한 88
 
3.3%
최 81
 
3.0%
속 81
 
3.0%
Other values (93) 1527
57.1%
Uppercase Letter
ValueCountFrequency (%)
T 1
50.0%
Y 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2674
99.4%
Common 14
 
0.5%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 222
 
8.3%
전 136
 
5.1%
보 133
 
5.0%
로 121
 
4.5%
우 109
 
4.1%
행 88
 
3.3%
제 88
 
3.3%
한 88
 
3.3%
최 81
 
3.0%
속 81
 
3.0%
Other values (93) 1527
57.1%
Common
ValueCountFrequency (%)
) 7
50.0%
( 7
50.0%
Latin
ValueCountFrequency (%)
T 1
50.0%
Y 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2662
99.0%
ASCII 16
 
0.6%
Compat Jamo 12
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
도 222
 
8.3%
전 136
 
5.1%
보 133
 
5.0%
로 121
 
4.5%
우 109
 
4.1%
행 88
 
3.3%
제 88
 
3.3%
한 88
 
3.3%
최 81
 
3.0%
속 81
 
3.0%
Other values (91) 1515
56.9%
ASCII
ValueCountFrequency (%)
) 7
43.8%
( 7
43.8%
T 1
 
6.2%
Y 1
 
6.2%
Compat Jamo
ValueCountFrequency (%)
ㅏ 6
50.0%
ㅓ 6
50.0%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
보령시청 교통과
502 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row보령시청 교통과
2nd row보령시청 교통과
3rd row보령시청 교통과
4th row보령시청 교통과
5th row보령시청 교통과

Common Values

ValueCountFrequency (%)
보령시청 교통과 502
100.0%

Length

2024-01-10T08:00:41.281374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T08:00:41.359255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보령시청 502
50.0%
교통과 502
50.0%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
041-930-3982
502 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row041-930-3982
2nd row041-930-3982
3rd row041-930-3982
4th row041-930-3982
5th row041-930-3982

Common Values

ValueCountFrequency (%)
041-930-3982 502
100.0%

Length

2024-01-10T08:00:41.449732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T08:00:41.531311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
041-930-3982 502
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
Minimum2023-11-07 00:00:00
Maximum2023-11-07 00:00:00
2024-01-10T08:00:41.601777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:00:41.686752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-10T08:00:37.124221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:00:36.632691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:00:36.878179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:00:37.207826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:00:36.711991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:00:36.956451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:00:37.294420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:00:36.790442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:00:37.038566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T08:00:41.752043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호차로수위도경도도로안전표지구분도로안전표지종별일련번호도로안전표지설명
일련번호1.0000.9950.9870.9170.4780.8080.791
차로수0.9951.0000.9980.7000.0000.7370.737
위도0.9870.9981.0000.9160.4480.7940.775
경도0.9170.7000.9161.0000.3140.7100.684
도로안전표지구분0.4780.0000.4480.3141.0001.0001.000
도로안전표지종별일련번호0.8080.7370.7940.7101.0001.0001.000
도로안전표지설명0.7910.7370.7750.6841.0001.0001.000
2024-01-10T08:00:41.851012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
차로수도로안전표지구분
차로수1.0000.000
도로안전표지구분0.0001.000
2024-01-10T08:00:41.932411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호위도경도차로수도로안전표지구분
일련번호1.000-1.0000.4650.9270.304
위도-1.0001.000-0.4650.9530.282
경도0.465-0.4651.0000.5420.191
차로수0.9270.9530.5421.0000.000
도로안전표지구분0.3040.2820.1910.0001.000

Missing values

2024-01-10T08:00:37.419026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T08:00:37.626844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

일련번호도로종류도로노선번호도로노선명차로수소재지지번주소위도경도도로안전표지구분도로안전표지종별일련번호도로안전표지설명관리기관명관리기관전화번호데이터기준일자
01국도21번충서로2충남 보령시 청소면 죽림리 415-8536.482856126.613212규제표지224최고속도제한보령시청 교통과041-930-39822023-11-07
12국도21번충서로2충남 보령시 청소면 죽림리 415-7736.482655126.613268주의표지124중앙분리대끝남보령시청 교통과041-930-39822023-11-07
23국도21번충서로2충남 보령시 청소면 죽림리 87736.479485126.614164주의표지107우합류도로보령시청 교통과041-930-39822023-11-07
34국도21번충서로2충남 보령시 청소면 죽림리 826-136.478216126.61389규제표지228양보보령시청 교통과041-930-39822023-11-07
45국도21번충서로2충남 보령시 청소면 죽림리 827-436.476909126.613284주의표지132횡단보도보령시청 교통과041-930-39822023-11-07
56국도21번충서로2충남 보령시 청소면 죽림리 829-1036.476755126.613155주의표지105ㅓ자형도로보령시청 교통과041-930-39822023-11-07
67국도21번충서로2충남 보령시 청소면 죽림리 437-136.476542126.612978지시표지332통행우선보령시청 교통과041-930-39822023-11-07
78국도21번충서로2충남 보령시 청소면 죽림리 441-1636.476232126.613055지시표지308직진및우회전보령시청 교통과041-930-39822023-11-07
89국도21번충서로2충남 보령시 청소면 죽림리 461-1336.476119126.612949지시표지332통행우선보령시청 교통과041-930-39822023-11-07
910국도21번충서로2충남 보령시 청소면 죽림리 440-136.476133126.612737지시표지313우측방통행보령시청 교통과041-930-39822023-11-07
일련번호도로종류도로노선번호도로노선명차로수소재지지번주소위도경도도로안전표지구분도로안전표지종별일련번호도로안전표지설명관리기관명관리기관전화번호데이터기준일자
492493국도21번충서로1충남 보령시 주산면 신구리 286-436.177607126.618124지시표지312양측방통행보령시청 교통과041-930-39822023-11-07
493494국도21번충서로1충남 보령시 주산면 신구리 395-336.177298126.617449지시표지305직진보령시청 교통과041-930-39822023-11-07
494495국도21번충서로1충남 보령시 주산면 신구리 산 6036.177063126.617012규제표지211진입금지보령시청 교통과041-930-39822023-11-07
495496국도21번충서로1충남 보령시 주산면 신구리 387-1836.175767126.615272지시표지312양측방통행보령시청 교통과041-930-39822023-11-07
496497국도21번충서로1충남 보령시 주산면 신구리 392-236.176626126.616867주의표지119우측차로없어짐보령시청 교통과041-930-39822023-11-07
497498국도21번충서로1충남 보령시 주산면 신구리 390-236.175481126.614714지시표지305직진보령시청 교통과041-930-39822023-11-07
498499국도21번충서로1충남 보령시 주산면 신구리 357-536.175348126.614601규제표지224최고속도제한보령시청 교통과041-930-39822023-11-07
499500국도21번충서로1충남 보령시 주산면 신구리 356-136.17445126.613617주의표지138의2교량보령시청 교통과041-930-39822023-11-07
500501국도21번충서로1충남 보령시 주산면 신구리 35636.174325126.613747주의표지107우합류도로보령시청 교통과041-930-39822023-11-07
501502국도21번충서로1충남 보령시 주산면 신구리 390-536.174479126.613894규제표지213우회전금지보령시청 교통과041-930-39822023-11-07