Overview

Dataset statistics

Number of variables4
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory836.0 B
Average record size in memory38.0 B

Variable types

Categorical1
Text3

Dataset

Description부산광역시남구주정차단속지역안내_20220923
Author부산광역시 남구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15023022

Alerts

위치(구간) has unique valuesUnique
보조간선도로명 has unique valuesUnique
위치 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:52:23.179419
Analysis finished2023-12-10 16:52:23.627247
Duration0.45 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

간선도로명
Categorical

Distinct9
Distinct (%)40.9%
Missing0
Missing (%)0.0%
Memory size308.0 B
용소로
5 
신선로
4 
우암로
3 
수영로
2 
전포로
2 
Other values (4)
6 

Length

Max length6
Median length3
Mean length3.2272727
Min length3

Unique

Unique2 ?
Unique (%)9.1%

Sample

1st row수영로
2nd row수영로
3rd row전포로
4th row전포로
5th row유엔평화로

Common Values

ValueCountFrequency (%)
용소로 5
22.7%
신선로 4
18.2%
우암로 3
13.6%
수영로 2
 
9.1%
전포로 2
 
9.1%
석포로 2
 
9.1%
진남로 2
 
9.1%
유엔평화로 1
 
4.5%
황령대로 1
 
4.5%

Length

2023-12-11T01:52:23.722701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:52:23.914705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
용소로 5
22.7%
신선로 4
18.2%
우암로 3
13.6%
수영로 2
 
9.1%
전포로 2
 
9.1%
석포로 2
 
9.1%
진남로 2
 
9.1%
유엔평화로 1
 
4.5%
황령대로 1
 
4.5%

위치(구간)
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-11T01:52:24.153211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length12.909091
Min length9

Characters and Unicode

Total characters284
Distinct characters46
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row대남~문현교차로 1
2nd row대남~문현교차로 2
3rd row문현~문전교차로1
4th row문현~문전교차로2
5th row대연사거리~유엔교차로
ValueCountFrequency (%)
대남~문현교차로 2
 
8.3%
49호광장~감만현대apt2 1
 
4.2%
대연사거리~문현2차현대아파트2 1
 
4.2%
대연사거리~문현2차현대아파트1 1
 
4.2%
경성대~부경대~늘빛교회5 1
 
4.2%
경성대~부경대~늘빛교회4 1
 
4.2%
경성대~부경대~늘빛교회3 1
 
4.2%
경성대~부경대~늘빛교회2 1
 
4.2%
경성대~부경대~늘빛교회1 1
 
4.2%
49호광장~감만현대apt4 1
 
4.2%
Other values (13) 13
54.2%
2023-12-11T01:52:24.641881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
~ 27
 
9.5%
대 24
 
8.5%
현 18
 
6.3%
교 12
 
4.2%
문 11
 
3.9%
경 10
 
3.5%
차 9
 
3.2%
2 9
 
3.2%
만 9
 
3.2%
감 9
 
3.2%
Other values (36) 146
51.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 202
71.1%
Decimal Number 32
 
11.3%
Math Symbol 27
 
9.5%
Uppercase Letter 21
 
7.4%
Space Separator 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 24
 
11.9%
현 18
 
8.9%
교 12
 
5.9%
문 11
 
5.4%
경 10
 
5.0%
차 9
 
4.5%
만 9
 
4.5%
감 9
 
4.5%
리 8
 
4.0%
거 8
 
4.0%
Other values (25) 84
41.6%
Decimal Number
ValueCountFrequency (%)
2 9
28.1%
4 7
21.9%
1 7
21.9%
9 5
15.6%
3 3
 
9.4%
5 1
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
P 7
33.3%
A 7
33.3%
T 7
33.3%
Math Symbol
ValueCountFrequency (%)
~ 27
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 202
71.1%
Common 61
 
21.5%
Latin 21
 
7.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 24
 
11.9%
현 18
 
8.9%
교 12
 
5.9%
문 11
 
5.4%
경 10
 
5.0%
차 9
 
4.5%
만 9
 
4.5%
감 9
 
4.5%
리 8
 
4.0%
거 8
 
4.0%
Other values (25) 84
41.6%
Common
ValueCountFrequency (%)
~ 27
44.3%
2 9
 
14.8%
4 7
 
11.5%
1 7
 
11.5%
9 5
 
8.2%
3 3
 
4.9%
2
 
3.3%
5 1
 
1.6%
Latin
ValueCountFrequency (%)
P 7
33.3%
A 7
33.3%
T 7
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 202
71.1%
ASCII 82
28.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
~ 27
32.9%
2 9
 
11.0%
4 7
 
8.5%
P 7
 
8.5%
A 7
 
8.5%
T 7
 
8.5%
1 7
 
8.5%
9 5
 
6.1%
3 3
 
3.7%
2
 
2.4%
Hangul
ValueCountFrequency (%)
대 24
 
11.9%
현 18
 
8.9%
교 12
 
5.9%
문 11
 
5.4%
경 10
 
5.0%
차 9
 
4.5%
만 9
 
4.5%
감 9
 
4.5%
리 8
 
4.0%
거 8
 
4.0%
Other values (25) 84
41.6%

보조간선도로명
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-11T01:52:24.871192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length4
Min length3

Characters and Unicode

Total characters88
Distinct characters50
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

Unique22 ?
Unique (%)100.0%

Sample

1st row못골번영로
2nd row못골로
3rd row남동천로
4th row자유평화로
5th row천제등로
ValueCountFrequency (%)
못골번영로 1
 
4.5%
못골로 1
 
4.5%
문현로 1
 
4.5%
고동골로 1
 
4.5%
오륙도로 1
 
4.5%
이기대공원로 1
 
4.5%
용주로 1
 
4.5%
용호로 1
 
4.5%
조각공원로 1
 
4.5%
신선대산복로 1
 
4.5%
Other values (12) 12
54.5%
2023-12-11T01:52:25.241275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 22
25.0%
골 5
 
5.7%
동 4
 
4.5%
못 2
 
2.3%
유 2
 
2.3%
원 2
 
2.3%
공 2
 
2.3%
제 2
 
2.3%
고 2
 
2.3%
천 2
 
2.3%
Other values (40) 43
48.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 86
97.7%
Space Separator 1
 
1.1%
Decimal Number 1
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 22
25.6%
골 5
 
5.8%
동 4
 
4.7%
못 2
 
2.3%
유 2
 
2.3%
원 2
 
2.3%
공 2
 
2.3%
제 2
 
2.3%
고 2
 
2.3%
천 2
 
2.3%
Other values (38) 41
47.7%
Space Separator
ValueCountFrequency (%)
1
100.0%
Decimal Number
ValueCountFrequency (%)
8 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 86
97.7%
Common 2
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 22
25.6%
골 5
 
5.8%
동 4
 
4.7%
못 2
 
2.3%
유 2
 
2.3%
원 2
 
2.3%
공 2
 
2.3%
제 2
 
2.3%
고 2
 
2.3%
천 2
 
2.3%
Other values (38) 41
47.7%
Common
ValueCountFrequency (%)
1
50.0%
8 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 86
97.7%
ASCII 2
 
2.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 22
25.6%
골 5
 
5.8%
동 4
 
4.7%
못 2
 
2.3%
유 2
 
2.3%
원 2
 
2.3%
공 2
 
2.3%
제 2
 
2.3%
고 2
 
2.3%
천 2
 
2.3%
Other values (38) 41
47.7%
ASCII
ValueCountFrequency (%)
1
50.0%
8 1
50.0%

위치
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-11T01:52:25.534737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length17.5
Mean length14.590909
Min length9

Characters and Unicode

Total characters321
Distinct characters119
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row대연메디컬센터~동천고교
2nd row남구청~남부산농협
3rd row문현로타리 동천변~문현금융단지
4th row성동중학교~동천변
5th row하이마트~대연중~부산공고
ValueCountFrequency (%)
대연메디컬센터~동천고교 1
 
4.3%
동명오거리~용호사거리~용호신익타워아파트 1
 
4.3%
남구지역정보센터맞은편~문현현대아파트 1
 
4.3%
부산은행문현동지점~문현여고 1
 
4.3%
오륙도중학교~오륙도해맞이공원 1
 
4.3%
용호종합사회복지관~이기대공원~늘빛교회 1
 
4.3%
대성연립~금호천지맨션 1
 
4.3%
엘지메트로시티~이기대입구~늘빛교회 1
 
4.3%
대천사거리~대천초교~유엔조각공원 1
 
4.3%
현대아이파크아파트~늘빛교회 1
 
4.3%
Other values (13) 13
56.5%
2023-12-11T01:52:25.979634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
~ 28
 
8.7%
대 11
 
3.4%
지 11
 
3.4%
교 9
 
2.8%
트 8
 
2.5%
현 8
 
2.5%
동 8
 
2.5%
문 7
 
2.2%
부 7
 
2.2%
아 7
 
2.2%
Other values (109) 217
67.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 288
89.7%
Math Symbol 29
 
9.0%
Decimal Number 3
 
0.9%
Space Separator 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 11
 
3.8%
지 11
 
3.8%
교 9
 
3.1%
트 8
 
2.8%
현 8
 
2.8%
동 8
 
2.8%
문 7
 
2.4%
부 7
 
2.4%
아 7
 
2.4%
파 7
 
2.4%
Other values (103) 205
71.2%
Decimal Number
ValueCountFrequency (%)
8 1
33.3%
9 1
33.3%
4 1
33.3%
Math Symbol
ValueCountFrequency (%)
~ 28
96.6%
～ 1
 
3.4%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 288
89.7%
Common 33
 
10.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 11
 
3.8%
지 11
 
3.8%
교 9
 
3.1%
트 8
 
2.8%
현 8
 
2.8%
동 8
 
2.8%
문 7
 
2.4%
부 7
 
2.4%
아 7
 
2.4%
파 7
 
2.4%
Other values (103) 205
71.2%
Common
ValueCountFrequency (%)
~ 28
84.8%
8 1
 
3.0%
9 1
 
3.0%
4 1
 
3.0%
～ 1
 
3.0%
1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 288
89.7%
ASCII 32
 
10.0%
None 1
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
~ 28
87.5%
8 1
 
3.1%
9 1
 
3.1%
4 1
 
3.1%
1
 
3.1%
Hangul
ValueCountFrequency (%)
대 11
 
3.8%
지 11
 
3.8%
교 9
 
3.1%
트 8
 
2.8%
현 8
 
2.8%
동 8
 
2.8%
문 7
 
2.4%
부 7
 
2.4%
아 7
 
2.4%
파 7
 
2.4%
Other values (103) 205
71.2%
None
ValueCountFrequency (%)
～ 1
100.0%

Correlations

2023-12-11T01:52:26.092736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
간선도로명위치(구간)보조간선도로명위치
간선도로명1.0001.0001.0001.000
위치(구간)1.0001.0001.0001.000
보조간선도로명1.0001.0001.0001.000
위치1.0001.0001.0001.000

Missing values

2023-12-11T01:52:23.456704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:52:23.566334image/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

간선도로명위치(구간)보조간선도로명위치
0수영로대남~문현교차로 1못골번영로대연메디컬센터~동천고교
1수영로대남~문현교차로 2못골로남구청~남부산농협
2전포로문현~문전교차로1남동천로문현로타리 동천변~문현금융단지
3전포로문현~문전교차로2자유평화로성동중학교~동천변
4유엔평화로대연사거리~유엔교차로천제등로하이마트~대연중~부산공고
5석포로유엔교차로~감만삼거리1양지골로유창그린아파트～동항중학교
6석포로유엔교차로~감만삼거리2홍곡로부산은행감만동지점~이원아파트
7우암로감만현대APT~문현동천삼거리1지게골로문현곱창공목~대양전자통신고~남문빌라
8우암로감만현대APT~문현동천삼거리2장고개로부산은행우암지점~세영맨션
9우암로감만현대APT~문현동천삼거리3동제당로지게골복지관~신연초교
간선도로명위치(구간)보조간선도로명위치
12신선로49호광장~감만현대APT38부두로8부두사거리~유니온스틸
13신선로49호광장~감만현대APT4신선대산복로현대아이파크아파트~늘빛교회
14용소로경성대~부경대~늘빛교회1조각공원로대천사거리~대천초교~유엔조각공원
15용소로경성대~부경대~늘빛교회2용호로엘지메트로시티~이기대입구~늘빛교회
16용소로경성대~부경대~늘빛교회3용주로대성연립~금호천지맨션
17용소로경성대~부경대~늘빛교회4이기대공원로용호종합사회복지관~이기대공원~늘빛교회
18용소로경성대~부경대~늘빛교회5오륙도로오륙도중학교~오륙도해맞이공원
19진남로대연사거리~문현2차현대아파트1고동골로부산은행문현동지점~문현여고
20진남로대연사거리~문현2차현대아파트2문현로남구지역정보센터맞은편~문현현대아파트
21황령대로황령터널~49호광장분포로용호지구대~49호광장