Overview

Dataset statistics

Number of variables3
Number of observations34
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory948.0 B
Average record size in memory27.9 B

Variable types

Text3

Dataset

Description부산광역시금정구_특정토양오염관리대상시설현황_20230308
Author부산광역시 금정구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3070545

Alerts

상호 has unique valuesUnique
소재지 has unique valuesUnique
연락처 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:53:55.866417
Analysis finished2023-12-10 16:53:56.199913
Duration0.33 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-11T01:53:56.362154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length13
Mean length8.4705882
Min length4

Characters and Unicode

Total characters288
Distinct characters98
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)100.0%

Sample

1st row금정산주유소
2nd row한솔유화(주)직영한길주유소
3rd row식물원주유소
4th row한솔유화㈜금사점 한길주유소
5th row동양주유소
ValueCountFrequency (%)
현대오일뱅크(주)직영 2
 
5.1%
주식회사 2
 
5.1%
금정산주유소 1
 
2.6%
s&t모티브(주 1
 
2.6%
원동오일 1
 
2.6%
은마석유(주 1
 
2.6%
a1주유소 1
 
2.6%
주)부일레미콘 1
 
2.6%
청룡명품주유소 1
 
2.6%
한솔유화(주)직영한길주유소 1
 
2.6%
Other values (27) 27
69.2%
2023-12-11T01:53:56.740413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 36
 
12.5%
유 29
 
10.1%
소 23
 
8.0%
) 12
 
4.2%
( 12
 
4.2%
금 7
 
2.4%
6
 
2.1%
동 6
 
2.1%
석 6
 
2.1%
일 5
 
1.7%
Other values (88) 146
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 251
87.2%
Close Punctuation 12
 
4.2%
Open Punctuation 12
 
4.2%
Space Separator 6
 
2.1%
Uppercase Letter 3
 
1.0%
Decimal Number 2
 
0.7%
Other Punctuation 1
 
0.3%
Other Symbol 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 36
 
14.3%
유 29
 
11.6%
소 23
 
9.2%
금 7
 
2.8%
동 6
 
2.4%
석 6
 
2.4%
일 5
 
2.0%
스 5
 
2.0%
영 5
 
2.0%
대 4
 
1.6%
Other values (78) 125
49.8%
Uppercase Letter
ValueCountFrequency (%)
A 1
33.3%
T 1
33.3%
S 1
33.3%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 252
87.5%
Common 33
 
11.5%
Latin 3
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 36
 
14.3%
유 29
 
11.5%
소 23
 
9.1%
금 7
 
2.8%
동 6
 
2.4%
석 6
 
2.4%
일 5
 
2.0%
스 5
 
2.0%
영 5
 
2.0%
대 4
 
1.6%
Other values (79) 126
50.0%
Common
ValueCountFrequency (%)
) 12
36.4%
( 12
36.4%
6
18.2%
1 1
 
3.0%
2 1
 
3.0%
& 1
 
3.0%
Latin
ValueCountFrequency (%)
A 1
33.3%
T 1
33.3%
S 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 251
87.2%
ASCII 36
 
12.5%
None 1
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 36
 
14.3%
유 29
 
11.6%
소 23
 
9.2%
금 7
 
2.8%
동 6
 
2.4%
석 6
 
2.4%
일 5
 
2.0%
스 5
 
2.0%
영 5
 
2.0%
대 4
 
1.6%
Other values (78) 125
49.8%
ASCII
ValueCountFrequency (%)
) 12
33.3%
( 12
33.3%
6
16.7%
1 1
 
2.8%
A 1
 
2.8%
2 1
 
2.8%
T 1
 
2.8%
& 1
 
2.8%
S 1
 
2.8%
None
ValueCountFrequency (%)
㈜ 1
100.0%

소재지
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-11T01:53:56.986236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length18.735294
Min length17

Characters and Unicode

Total characters637
Distinct characters35
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

Unique34 ?
Unique (%)100.0%

Sample

1st row부산광역시 금정구 구서동 1021-5
2nd row부산광역시 금정구 부곡동 248-3
3rd row부산광역시 금정구 장전동 산 39
4th row부산광역시 금정구 금사동 145-6
5th row부산광역시 금정구 서동 208-12
ValueCountFrequency (%)
부산광역시 34
24.8%
금정구 34
24.8%
부곡동 8
 
5.8%
남산동 6
 
4.4%
금사동 5
 
3.6%
구서동 3
 
2.2%
서동 3
 
2.2%
회동동 2
 
1.5%
장전동 2
 
1.5%
노포동 2
 
1.5%
Other values (38) 38
27.7%
2023-12-11T01:53:57.377404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
103
16.2%
부 42
 
6.6%
산 41
 
6.4%
금 39
 
6.1%
구 38
 
6.0%
동 36
 
5.7%
광 34
 
5.3%
역 34
 
5.3%
시 34
 
5.3%
정 34
 
5.3%
Other values (25) 202
31.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 372
58.4%
Decimal Number 131
 
20.6%
Space Separator 103
 
16.2%
Dash Punctuation 31
 
4.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 42
11.3%
산 41
11.0%
금 39
10.5%
구 38
10.2%
동 36
9.7%
광 34
9.1%
역 34
9.1%
시 34
9.1%
정 34
9.1%
곡 8
 
2.2%
Other values (13) 32
8.6%
Decimal Number
ValueCountFrequency (%)
1 24
18.3%
3 21
16.0%
2 21
16.0%
4 14
10.7%
9 11
8.4%
5 11
8.4%
6 10
7.6%
0 8
 
6.1%
8 6
 
4.6%
7 5
 
3.8%
Space Separator
ValueCountFrequency (%)
103
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 372
58.4%
Common 265
41.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 42
11.3%
산 41
11.0%
금 39
10.5%
구 38
10.2%
동 36
9.7%
광 34
9.1%
역 34
9.1%
시 34
9.1%
정 34
9.1%
곡 8
 
2.2%
Other values (13) 32
8.6%
Common
ValueCountFrequency (%)
103
38.9%
- 31
 
11.7%
1 24
 
9.1%
3 21
 
7.9%
2 21
 
7.9%
4 14
 
5.3%
9 11
 
4.2%
5 11
 
4.2%
6 10
 
3.8%
0 8
 
3.0%
Other values (2) 11
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 372
58.4%
ASCII 265
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
103
38.9%
- 31
 
11.7%
1 24
 
9.1%
3 21
 
7.9%
2 21
 
7.9%
4 14
 
5.3%
9 11
 
4.2%
5 11
 
4.2%
6 10
 
3.8%
0 8
 
3.0%
Other values (2) 11
 
4.2%
Hangul
ValueCountFrequency (%)
부 42
11.3%
산 41
11.0%
금 39
10.5%
구 38
10.2%
동 36
9.7%
광 34
9.1%
역 34
9.1%
시 34
9.1%
정 34
9.1%
곡 8
 
2.2%
Other values (13) 32
8.6%

연락처
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-11T01:53:57.661130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters408
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)100.0%

Sample

1st row051-517-5472
2nd row051-581-0875
3rd row051-515-5189
4th row051-524-6642
5th row051-523-1214
ValueCountFrequency (%)
051-517-5472 1
 
2.9%
051-581-0875 1
 
2.9%
051-509-2383 1
 
2.9%
051-522-5189 1
 
2.9%
051-521-1100 1
 
2.9%
051-532-5157 1
 
2.9%
051-525-0147 1
 
2.9%
051-508-5155 1
 
2.9%
051-523-4477 1
 
2.9%
051-527-5142 1
 
2.9%
Other values (24) 24
70.6%
2023-12-11T01:53:58.124656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 96
23.5%
1 75
18.4%
- 68
16.7%
0 56
13.7%
2 24
 
5.9%
8 23
 
5.6%
7 18
 
4.4%
3 15
 
3.7%
4 13
 
3.2%
6 11
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 340
83.3%
Dash Punctuation 68
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 96
28.2%
1 75
22.1%
0 56
16.5%
2 24
 
7.1%
8 23
 
6.8%
7 18
 
5.3%
3 15
 
4.4%
4 13
 
3.8%
6 11
 
3.2%
9 9
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 68
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 408
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 96
23.5%
1 75
18.4%
- 68
16.7%
0 56
13.7%
2 24
 
5.9%
8 23
 
5.6%
7 18
 
4.4%
3 15
 
3.7%
4 13
 
3.2%
6 11
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 408
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 96
23.5%
1 75
18.4%
- 68
16.7%
0 56
13.7%
2 24
 
5.9%
8 23
 
5.6%
7 18
 
4.4%
3 15
 
3.7%
4 13
 
3.2%
6 11
 
2.7%

Correlations

2023-12-11T01:53:58.277879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상호소재지연락처
상호1.0001.0001.000
소재지1.0001.0001.000
연락처1.0001.0001.000

Missing values

2023-12-11T01:53:56.076957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:53:56.168681image/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

상호소재지연락처
0금정산주유소부산광역시 금정구 구서동 1021-5051-517-5472
1한솔유화(주)직영한길주유소부산광역시 금정구 부곡동 248-3051-581-0875
2식물원주유소부산광역시 금정구 장전동 산 39051-515-5189
3한솔유화㈜금사점 한길주유소부산광역시 금정구 금사동 145-6051-524-6642
4동양주유소부산광역시 금정구 서동 208-12051-523-1214
5거북이주유소부산광역시 금정구 부곡동 239-3051-516-5151
6동진주유소부산광역시 금정구 구서동 466-4051-515-5007
7현대오일뱅크(주)직영 부곡셀프주유소부산광역시 금정구 부곡동 299-1051-516-2888
8금샘로주유소부산광역시 금정구 남산동 999-20051-517-0220
9새석대주유소부산광역시 금정구 금사동 110-9051-527-5142
상호소재지연락처
24삼성물산(주)동래베네스트골프클럽부산광역시 금정구 남산동 265-34051-580-0341
25부산소년원부산광역시 금정구 오륜동 625051-515-6565
26충북석유부산광역시 금정구 서동 402-13051-523-4477
27청룡명품주유소부산광역시 금정구 청룡동 85-6051-508-5155
28(주)부일레미콘부산광역시 금정구 회동동 445-1051-525-0147
29A1주유소부산광역시 금정구 서동 221-9051-532-5157
30은마석유(주)부산광역시 금정구 금사동 75-3051-521-1100
31원동오일부산광역시 금정구 회동동 389-1051-522-5189
32S&T모티브(주)부산광역시 금정구 두구동 11-2051-509-2383
33대영윤활유(주)부산광역시 금정구 금사동 73-4051-531-7256