Overview

Dataset statistics

Number of variables6
Number of observations27
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory53.9 B

Variable types

Numeric1
Text2
DateTime2
Categorical1

Dataset

Description울산광역시 동구에 설치되어 있는 주정차 단속 무인카메라 설치현황 정보(설치지점, 주소, 단속시간, 단속범위)를 공개합니다.
Author울산광역시 동구
URLhttps://www.data.go.kr/data/15113049/fileData.do

Alerts

단속범위 has constant value ""Constant
연번 has unique valuesUnique
설치지점 has unique valuesUnique
도로명주소 has unique valuesUnique

Reproduction

Analysis started2024-04-06 08:37:15.921384
Analysis finished2024-04-06 08:37:17.102087
Duration1.18 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14
Minimum1
Maximum27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2024-04-06T17:37:17.442157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.3
Q17.5
median14
Q320.5
95-th percentile25.7
Maximum27
Range26
Interquartile range (IQR)13

Descriptive statistics

Standard deviation7.9372539
Coefficient of variation (CV)0.56694671
Kurtosis-1.2
Mean14
Median Absolute Deviation (MAD)7
Skewness0
Sum378
Variance63
MonotonicityStrictly increasing
2024-04-06T17:37:17.801651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
1 1
 
3.7%
2 1
 
3.7%
27 1
 
3.7%
26 1
 
3.7%
25 1
 
3.7%
24 1
 
3.7%
23 1
 
3.7%
22 1
 
3.7%
21 1
 
3.7%
20 1
 
3.7%
Other values (17) 17
63.0%
ValueCountFrequency (%)
1 1
3.7%
2 1
3.7%
3 1
3.7%
4 1
3.7%
5 1
3.7%
6 1
3.7%
7 1
3.7%
8 1
3.7%
9 1
3.7%
10 1
3.7%
ValueCountFrequency (%)
27 1
3.7%
26 1
3.7%
25 1
3.7%
24 1
3.7%
23 1
3.7%
22 1
3.7%
21 1
3.7%
20 1
3.7%
19 1
3.7%
18 1
3.7%

설치지점
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-04-06T17:37:18.506475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length17
Mean length15.222222
Min length9

Characters and Unicode

Total characters411
Distinct characters108
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

Unique27 ?
Unique (%)100.0%

Sample

1st row남목삼거리 경남은행 주변 도로
2nd row서부동 현대예술관 주변 도로
3rd row전하동 울산대학병원 주변 도로
4th row전하동 동울산우체국 주변 도로
5th row일산해수욕장 공영주차장 주변 도로
ValueCountFrequency (%)
도로 15
 
15.2%
주변 14
 
14.1%
전하동 7
 
7.1%
5
 
5.1%
화정동 4
 
4.0%
서부동 4
 
4.0%
4
 
4.0%
일산동 2
 
2.0%
힐스테이트 2
 
2.0%
정문 2
 
2.0%
Other values (38) 40
40.4%
2024-04-06T17:37:19.864535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
73
 
17.8%
30
 
7.3%
19
 
4.6%
15
 
3.6%
15
 
3.6%
15
 
3.6%
11
 
2.7%
9
 
2.2%
7
 
1.7%
7
 
1.7%
Other values (98) 210
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 329
80.0%
Space Separator 73
 
17.8%
Decimal Number 9
 
2.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
30
 
9.1%
19
 
5.8%
15
 
4.6%
15
 
4.6%
15
 
4.6%
11
 
3.3%
9
 
2.7%
7
 
2.1%
7
 
2.1%
7
 
2.1%
Other values (92) 194
59.0%
Decimal Number
ValueCountFrequency (%)
1 5
55.6%
0 1
 
11.1%
3 1
 
11.1%
2 1
 
11.1%
6 1
 
11.1%
Space Separator
ValueCountFrequency (%)
73
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 329
80.0%
Common 82
 
20.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
30
 
9.1%
19
 
5.8%
15
 
4.6%
15
 
4.6%
15
 
4.6%
11
 
3.3%
9
 
2.7%
7
 
2.1%
7
 
2.1%
7
 
2.1%
Other values (92) 194
59.0%
Common
ValueCountFrequency (%)
73
89.0%
1 5
 
6.1%
0 1
 
1.2%
3 1
 
1.2%
2 1
 
1.2%
6 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 329
80.0%
ASCII 82
 
20.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
73
89.0%
1 5
 
6.1%
0 1
 
1.2%
3 1
 
1.2%
2 1
 
1.2%
6 1
 
1.2%
Hangul
ValueCountFrequency (%)
30
 
9.1%
19
 
5.8%
15
 
4.6%
15
 
4.6%
15
 
4.6%
11
 
3.3%
9
 
2.7%
7
 
2.1%
7
 
2.1%
7
 
2.1%
Other values (92) 194
59.0%

도로명주소
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-04-06T17:37:20.381551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length17.444444
Min length14

Characters and Unicode

Total characters471
Distinct characters51
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

Unique27 ?
Unique (%)100.0%

Sample

1st row울산광역시 동구 방어진순환도로 1130
2nd row울산광역시 동구 명덕로 10
3rd row울산광역시 동구 방어진순환도로 879
4th row울산광역시 동구 방어진순환도로 775
5th row울산광역시 동구 일산진11길 31
ValueCountFrequency (%)
울산광역시 27
24.8%
동구 27
24.8%
방어진순환도로 7
 
6.4%
10 3
 
2.8%
서부동 2
 
1.8%
3 1
 
0.9%
290-57 1
 
0.9%
화진길 1
 
0.9%
100 1
 
0.9%
일산동 1
 
0.9%
Other values (38) 38
34.9%
2024-04-06T17:37:21.396773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
83
17.6%
31
 
6.6%
29
 
6.2%
27
 
5.7%
27
 
5.7%
27
 
5.7%
27
 
5.7%
27
 
5.7%
1 15
 
3.2%
14
 
3.0%
Other values (41) 164
34.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 304
64.5%
Space Separator 83
 
17.6%
Decimal Number 82
 
17.4%
Dash Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
31
10.2%
29
9.5%
27
 
8.9%
27
 
8.9%
27
 
8.9%
27
 
8.9%
27
 
8.9%
14
 
4.6%
12
 
3.9%
11
 
3.6%
Other values (29) 72
23.7%
Decimal Number
ValueCountFrequency (%)
1 15
18.3%
7 11
13.4%
0 11
13.4%
5 10
12.2%
2 9
11.0%
3 7
8.5%
9 6
 
7.3%
6 5
 
6.1%
4 5
 
6.1%
8 3
 
3.7%
Space Separator
ValueCountFrequency (%)
83
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 304
64.5%
Common 167
35.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
31
10.2%
29
9.5%
27
 
8.9%
27
 
8.9%
27
 
8.9%
27
 
8.9%
27
 
8.9%
14
 
4.6%
12
 
3.9%
11
 
3.6%
Other values (29) 72
23.7%
Common
ValueCountFrequency (%)
83
49.7%
1 15
 
9.0%
7 11
 
6.6%
0 11
 
6.6%
5 10
 
6.0%
2 9
 
5.4%
3 7
 
4.2%
9 6
 
3.6%
6 5
 
3.0%
4 5
 
3.0%
Other values (2) 5
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 304
64.5%
ASCII 167
35.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
83
49.7%
1 15
 
9.0%
7 11
 
6.6%
0 11
 
6.6%
5 10
 
6.0%
2 9
 
5.4%
3 7
 
4.2%
9 6
 
3.6%
6 5
 
3.0%
4 5
 
3.0%
Other values (2) 5
 
3.0%
Hangul
ValueCountFrequency (%)
31
10.2%
29
9.5%
27
 
8.9%
27
 
8.9%
27
 
8.9%
27
 
8.9%
27
 
8.9%
14
 
4.6%
12
 
3.9%
11
 
3.6%
Other values (29) 72
23.7%
Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
Minimum2024-04-06 08:00:00
Maximum2024-04-06 09:00:00
2024-04-06T17:37:21.674211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:37:22.060123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
Minimum2024-04-06 20:00:00
Maximum2024-04-06 21:00:00
2024-04-06T17:37:22.485688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:37:22.909489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

단속범위
Categorical

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
설치지점에서 190m정도
27 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row설치지점에서 190m정도
2nd row설치지점에서 190m정도
3rd row설치지점에서 190m정도
4th row설치지점에서 190m정도
5th row설치지점에서 190m정도

Common Values

ValueCountFrequency (%)
설치지점에서 190m정도 27
100.0%

Length

2024-04-06T17:37:23.414616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:37:24.119738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
설치지점에서 27
50.0%
190m정도 27
50.0%

Interactions

2024-04-06T17:37:16.441781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:37:24.587640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번설치지점도로명주소단속시작시간단속종료시간
연번1.0001.0001.0001.0001.000
설치지점1.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.000
단속시작시간1.0001.0001.0001.0000.953
단속종료시간1.0001.0001.0000.9531.000

Missing values

2024-04-06T17:37:16.705917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:37:16.994630image/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

연번설치지점도로명주소단속시작시간단속종료시간단속범위
01남목삼거리 경남은행 주변 도로울산광역시 동구 방어진순환도로 113009:0021:00설치지점에서 190m정도
12서부동 현대예술관 주변 도로울산광역시 동구 명덕로 1009:0021:00설치지점에서 190m정도
23전하동 울산대학병원 주변 도로울산광역시 동구 방어진순환도로 87909:0021:00설치지점에서 190m정도
34전하동 동울산우체국 주변 도로울산광역시 동구 방어진순환도로 77509:0021:00설치지점에서 190m정도
45일산해수욕장 공영주차장 주변 도로울산광역시 동구 일산진11길 3109:0021:00설치지점에서 190m정도
56일산해수욕장 맛찬들 주변 도로울산광역시 동구 해수욕장길 1209:0021:00설치지점에서 190m정도
67일산동 홈플러스 사거리 주변 도로울산광역시 동구 방어진순환도로 64209:0021:00설치지점에서 190m정도
78방어동 다이소사거리 주변 도로울산광역시 동구 문현로 4509:0021:00설치지점에서 190m정도
89울산대학병원암센터주변 도로울산광역시 동구 방어진순환도로 87109:0021:00설치지점에서 190m정도
910테라스파크주차장입구 주변 도로울산광역시 동구 방어진순환도로 65209:0021:00설치지점에서 190m정도
연번설치지점도로명주소단속시작시간단속종료시간단속범위
1718화정동 힐스테이트아파트 112동 옆울산광역시 동구 화진길 10009:0021:00설치지점에서 190m정도
1819일산동 씨엔포레 옆울산광역시 동구 일산동 979-209:0021:00설치지점에서 190m정도
1920전하동 큰빛교회 옆울산광역시 동구 진성6가길 2209:0021:00설치지점에서 190m정도
2021전하동 우리은행 옆울산광역시 동구 전하로 309:0021:00설치지점에서 190m정도
2122화암초등학교 부근울산광역시 동구 화문로 5508:0020:00설치지점에서 190m정도
2223화정동 상진초등학교 정문울산광역시 동구 월봉6길 2 앞08:0020:00설치지점에서 190m정도
2324동부동 동부초등학교 정문울산광역시 동구 남목13길 2308:0020:00설치지점에서 190m정도
2425전하동 동울산종합시장 공영주차장 앞울산광역시 동구 진성3길 5909:0021:00설치지점에서 190m정도
2526서부동 서부패밀리 113동 앞울산광역시 동구 서부동 105409:0021:00설치지점에서 190m정도
2627서부동 지웰시티자이 106동 앞울산광역시 동구 서부동 105009:0021:00설치지점에서 190m정도