Overview

Dataset statistics

Number of variables4
Number of observations82
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory33.6 B

Variable types

Categorical2
Text2

Dataset

Description전라남도 목포시 무인단속카메라 현황에 대하여 관리기관명, 설치장소명, 소재지도로명주소, 설치목적구분의 정보를 제공하고 있습니다.
URLhttps://www.data.go.kr/data/15040542/fileData.do

Alerts

관리기관명 has constant value ""Constant
설치목적구분 has constant value ""Constant

Reproduction

Analysis started2023-12-12 05:06:03.419014
Analysis finished2023-12-12 05:06:04.120163
Duration0.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size788.0 B
교통행정과
82 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
교통행정과 82
100.0%

Length

2023-12-12T14:06:04.206914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:06:04.325831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
교통행정과 82
100.0%

설치장소명
Text

Distinct81
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size788.0 B
2023-12-12T14:06:04.599389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length7.2195122
Min length3

Characters and Unicode

Total characters592
Distinct characters153
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique80 ?
Unique (%)97.6%

Sample

1st row목포 버스터미널
2nd row목포역
3rd row여객선 터미널
4th row신안비치 1차아파트
5th row동부시장
ValueCountFrequency (%)
하당 8
 
6.4%
목포역 4
 
3.2%
삼거리 3
 
2.4%
교차로 3
 
2.4%
평화광장(도시재생과 2
 
1.6%
항도초등학교 2
 
1.6%
동초등학교 2
 
1.6%
사거리 2
 
1.6%
목포 2
 
1.6%
에메랄드 2
 
1.6%
Other values (92) 95
76.0%
2023-12-12T14:06:05.148825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
49
 
8.3%
교 42
 
7.1%
학 37
 
6.2%
초 35
 
5.9%
등 34
 
5.7%
포 11
 
1.9%
하 11
 
1.9%
당 11
 
1.9%
트 10
 
1.7%
동 9
 
1.5%
Other values (143) 343
57.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 530
89.5%
Space Separator 49
 
8.3%
Decimal Number 5
 
0.8%
Close Punctuation 4
 
0.7%
Open Punctuation 4
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 42
 
7.9%
학 37
 
7.0%
초 35
 
6.6%
등 34
 
6.4%
포 11
 
2.1%
하 11
 
2.1%
당 11
 
2.1%
트 10
 
1.9%
동 9
 
1.7%
아 9
 
1.7%
Other values (136) 321
60.6%
Decimal Number
ValueCountFrequency (%)
1 2
40.0%
3 1
20.0%
2 1
20.0%
9 1
20.0%
Space Separator
ValueCountFrequency (%)
49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 530
89.5%
Common 62
 
10.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 42
 
7.9%
학 37
 
7.0%
초 35
 
6.6%
등 34
 
6.4%
포 11
 
2.1%
하 11
 
2.1%
당 11
 
2.1%
트 10
 
1.9%
동 9
 
1.7%
아 9
 
1.7%
Other values (136) 321
60.6%
Common
ValueCountFrequency (%)
49
79.0%
) 4
 
6.5%
( 4
 
6.5%
1 2
 
3.2%
3 1
 
1.6%
2 1
 
1.6%
9 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 530
89.5%
ASCII 62
 
10.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
49
79.0%
) 4
 
6.5%
( 4
 
6.5%
1 2
 
3.2%
3 1
 
1.6%
2 1
 
1.6%
9 1
 
1.6%
Hangul
ValueCountFrequency (%)
교 42
 
7.9%
학 37
 
7.0%
초 35
 
6.6%
등 34
 
6.4%
포 11
 
2.1%
하 11
 
2.1%
당 11
 
2.1%
트 10
 
1.9%
동 9
 
1.7%
아 9
 
1.7%
Other values (136) 321
60.6%

소재지도로명주소
Text

Distinct79
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size788.0 B
2023-12-12T14:06:05.478835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length7.804878
Min length5

Characters and Unicode

Total characters640
Distinct characters50
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

Unique76 ?
Unique (%)92.7%

Sample

1st row영산로 525
2nd row영산로98
3rd row해안로 182
4th row청호로 209
5th row산정로 174
ValueCountFrequency (%)
상동 20
 
12.3%
옥암동 12
 
7.4%
산정동 7
 
4.3%
죽교동 4
 
2.5%
용해동 4
 
2.5%
연산동 4
 
2.5%
호남동 3
 
1.9%
영산로 3
 
1.9%
673 2
 
1.2%
북항로 2
 
1.2%
Other values (95) 101
62.3%
2023-12-12T14:06:06.011396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
80
 
12.5%
1 77
 
12.0%
동 62
 
9.7%
2 34
 
5.3%
0 32
 
5.0%
6 28
 
4.4%
3 28
 
4.4%
8 27
 
4.2%
- 26
 
4.1%
9 26
 
4.1%
Other values (40) 220
34.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 304
47.5%
Other Letter 230
35.9%
Space Separator 80
 
12.5%
Dash Punctuation 26
 
4.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 62
27.0%
로 20
 
8.7%
상 20
 
8.7%
산 17
 
7.4%
옥 13
 
5.7%
암 13
 
5.7%
정 8
 
3.5%
용 7
 
3.0%
교 5
 
2.2%
해 5
 
2.2%
Other values (28) 60
26.1%
Decimal Number
ValueCountFrequency (%)
1 77
25.3%
2 34
11.2%
0 32
10.5%
6 28
 
9.2%
3 28
 
9.2%
8 27
 
8.9%
9 26
 
8.6%
7 24
 
7.9%
4 16
 
5.3%
5 12
 
3.9%
Space Separator
ValueCountFrequency (%)
80
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 410
64.1%
Hangul 230
35.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 62
27.0%
로 20
 
8.7%
상 20
 
8.7%
산 17
 
7.4%
옥 13
 
5.7%
암 13
 
5.7%
정 8
 
3.5%
용 7
 
3.0%
교 5
 
2.2%
해 5
 
2.2%
Other values (28) 60
26.1%
Common
ValueCountFrequency (%)
80
19.5%
1 77
18.8%
2 34
8.3%
0 32
 
7.8%
6 28
 
6.8%
3 28
 
6.8%
8 27
 
6.6%
- 26
 
6.3%
9 26
 
6.3%
7 24
 
5.9%
Other values (2) 28
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 410
64.1%
Hangul 230
35.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
80
19.5%
1 77
18.8%
2 34
8.3%
0 32
 
7.8%
6 28
 
6.8%
3 28
 
6.8%
8 27
 
6.6%
- 26
 
6.3%
9 26
 
6.3%
7 24
 
5.9%
Other values (2) 28
 
6.8%
Hangul
ValueCountFrequency (%)
동 62
27.0%
로 20
 
8.7%
상 20
 
8.7%
산 17
 
7.4%
옥 13
 
5.7%
암 13
 
5.7%
정 8
 
3.5%
용 7
 
3.0%
교 5
 
2.2%
해 5
 
2.2%
Other values (28) 60
26.1%

설치목적구분
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size788.0 B
불법주정차단속
82 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
불법주정차단속 82
100.0%

Length

2023-12-12T14:06:06.178832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:06:06.301322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불법주정차단속 82
100.0%

Correlations

2023-12-12T14:06:06.389431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치장소명소재지도로명주소
설치장소명1.0000.996
소재지도로명주소0.9961.000

Missing values

2023-12-12T14:06:03.970765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:06:04.068890image/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

관리기관명설치장소명소재지도로명주소설치목적구분
0교통행정과목포 버스터미널영산로 525불법주정차단속
1교통행정과목포역영산로98불법주정차단속
2교통행정과여객선 터미널해안로 182불법주정차단속
3교통행정과신안비치 1차아파트청호로 209불법주정차단속
4교통행정과동부시장산정로 174불법주정차단속
5교통행정과하나내과 교차로백년대로 291불법주정차단속
6교통행정과하당 광주은행 교차로신흥로 50불법주정차단속
7교통행정과하당 이마트 교차로신흥로138불법주정차단속
8교통행정과목포역 사각지대영산로 98불법주정차단속
9교통행정과아동병원 건너편옥암로 149불법주정차단속
관리기관명설치장소명소재지도로명주소설치목적구분
72교통행정과베키어린이집옥암동 1071불법주정차단속
73교통행정과그랜드카세차장상동 1076불법주정차단속
74교통행정과포르모 뒤편상동 1077불법주정차단속
75교통행정과하당현대아파트상동 1107불법주정차단속
76교통행정과제일풍경채3차옥암동 1061불법주정차단속
77교통행정과목포역 삼학로 삼거리호남동 498불법주정차단속
78교통행정과수협공판장죽교동 673불법주정차단속
79교통행정과수협 정문 삼거리죽교동 673불법주정차단속
80교통행정과한국병원상동 132-2불법주정차단속
81교통행정과제일풍경채 센트럴퍼스트 아파트 앞석현동 1030불법주정차단속