Overview

Dataset statistics

Number of variables8
Number of observations143
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.1 KiB
Average record size in memory64.9 B

Variable types

Text3
Boolean5

Dataset

Description부산광역시영도구_환경인허가업소현황_20230113
Author부산광역시 영도구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15083311

Reproduction

Analysis started2023-12-10 17:08:13.852414
Analysis finished2023-12-10 17:08:15.007348
Duration1.15 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

Distinct142
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-11T02:08:15.330521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length19
Mean length7.8181818
Min length4

Characters and Unicode

Total characters1118
Distinct characters225
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique141 ?
Unique (%)98.6%

Sample

1st row남항주유소
2nd row현대자동차 남항점
3rd row케이에스브이
4th row(주)일성조선
5th row금강조선(주)
ValueCountFrequency (%)
안경원 7
 
4.0%
신한여객자동차(주 2
 
1.1%
실로암안경원 2
 
1.1%
주식회사 2
 
1.1%
안경 2
 
1.1%
㈜hj중공업 2
 
1.1%
영도셀프세차장 1
 
0.6%
부산삼보의료소비자생활협동조합 1
 
0.6%
삼성테크 1
 
0.6%
시원메티컬의원 1
 
0.6%
Other values (155) 155
88.1%
2023-12-11T02:08:16.016592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 59
 
5.3%
( 44
 
3.9%
) 44
 
3.9%
29
 
2.6%
동 25
 
2.2%
원 25
 
2.2%
㈜ 23
 
2.1%
경 21
 
1.9%
소 20
 
1.8%
영 19
 
1.7%
Other values (215) 809
72.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 938
83.9%
Open Punctuation 45
 
4.0%
Close Punctuation 45
 
4.0%
Space Separator 29
 
2.6%
Other Symbol 23
 
2.1%
Uppercase Letter 16
 
1.4%
Decimal Number 14
 
1.3%
Control 4
 
0.4%
Lowercase Letter 3
 
0.3%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 59
 
6.3%
동 25
 
2.7%
원 25
 
2.7%
경 21
 
2.2%
소 20
 
2.1%
영 19
 
2.0%
공 18
 
1.9%
선 18
 
1.9%
사 17
 
1.8%
안 17
 
1.8%
Other values (188) 699
74.5%
Uppercase Letter
ValueCountFrequency (%)
H 4
25.0%
E 2
12.5%
T 2
12.5%
J 2
12.5%
C 1
 
6.2%
P 1
 
6.2%
S 1
 
6.2%
G 1
 
6.2%
L 1
 
6.2%
K 1
 
6.2%
Decimal Number
ValueCountFrequency (%)
1 5
35.7%
3 2
 
14.3%
2 2
 
14.3%
0 2
 
14.3%
9 1
 
7.1%
6 1
 
7.1%
8 1
 
7.1%
Open Punctuation
ValueCountFrequency (%)
( 44
97.8%
[ 1
 
2.2%
Close Punctuation
ValueCountFrequency (%)
) 44
97.8%
] 1
 
2.2%
Lowercase Letter
ValueCountFrequency (%)
k 2
66.7%
s 1
33.3%
Space Separator
ValueCountFrequency (%)
29
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 23
100.0%
Control
ValueCountFrequency (%)
4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 961
86.0%
Common 138
 
12.3%
Latin 19
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 59
 
6.1%
동 25
 
2.6%
원 25
 
2.6%
㈜ 23
 
2.4%
경 21
 
2.2%
소 20
 
2.1%
영 19
 
2.0%
공 18
 
1.9%
선 18
 
1.9%
사 17
 
1.8%
Other values (189) 716
74.5%
Common
ValueCountFrequency (%)
( 44
31.9%
) 44
31.9%
29
21.0%
1 5
 
3.6%
4
 
2.9%
3 2
 
1.4%
2 2
 
1.4%
0 2
 
1.4%
[ 1
 
0.7%
- 1
 
0.7%
Other values (4) 4
 
2.9%
Latin
ValueCountFrequency (%)
H 4
21.1%
E 2
10.5%
k 2
10.5%
T 2
10.5%
J 2
10.5%
C 1
 
5.3%
P 1
 
5.3%
s 1
 
5.3%
S 1
 
5.3%
G 1
 
5.3%
Other values (2) 2
10.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 938
83.9%
ASCII 157
 
14.0%
None 23
 
2.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 59
 
6.3%
동 25
 
2.7%
원 25
 
2.7%
경 21
 
2.2%
소 20
 
2.1%
영 19
 
2.0%
공 18
 
1.9%
선 18
 
1.9%
사 17
 
1.8%
안 17
 
1.8%
Other values (188) 699
74.5%
ASCII
ValueCountFrequency (%)
( 44
28.0%
) 44
28.0%
29
18.5%
1 5
 
3.2%
4
 
2.5%
H 4
 
2.5%
E 2
 
1.3%
3 2
 
1.3%
k 2
 
1.3%
T 2
 
1.3%
Other values (16) 19
12.1%
None
ValueCountFrequency (%)
㈜ 23
100.0%

소재지
Text

Distinct142
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-11T02:08:16.441965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length18
Mean length8.6993007
Min length4

Characters and Unicode

Total characters1244
Distinct characters60
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique141 ?
Unique (%)98.6%

Sample

1st row남항서로116
2nd row절영로42
3rd row남항서로 104번길 6
4th row남항서로 69-1
5th row남항서로 63
ValueCountFrequency (%)
태종로 11
 
4.7%
해양로 7
 
3.0%
남항서로 6
 
2.6%
절영로 5
 
2.2%
대평남로 4
 
1.7%
동삼로 4
 
1.7%
와치로 3
 
1.3%
영선대로 3
 
1.3%
57 3
 
1.3%
남항로 3
 
1.3%
Other values (170) 183
78.9%
2023-12-11T02:08:17.127689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 133
 
10.7%
1 107
 
8.6%
90
 
7.2%
2 76
 
6.1%
남 48
 
3.9%
3 48
 
3.9%
동 46
 
3.7%
6 45
 
3.6%
5 40
 
3.2%
- 32
 
2.6%
Other values (50) 579
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 619
49.8%
Decimal Number 454
36.5%
Space Separator 90
 
7.2%
Dash Punctuation 32
 
2.6%
Open Punctuation 23
 
1.8%
Close Punctuation 23
 
1.8%
Uppercase Letter 2
 
0.2%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 133
21.5%
남 48
 
7.8%
동 46
 
7.4%
항 32
 
5.2%
길 30
 
4.8%
해 29
 
4.7%
양 29
 
4.7%
번 27
 
4.4%
종 26
 
4.2%
태 26
 
4.2%
Other values (33) 193
31.2%
Decimal Number
ValueCountFrequency (%)
1 107
23.6%
2 76
16.7%
3 48
10.6%
6 45
9.9%
5 40
 
8.8%
4 31
 
6.8%
7 31
 
6.8%
8 29
 
6.4%
9 24
 
5.3%
0 23
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
L 1
50.0%
M 1
50.0%
Space Separator
ValueCountFrequency (%)
90
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 623
50.1%
Hangul 619
49.8%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 133
21.5%
남 48
 
7.8%
동 46
 
7.4%
항 32
 
5.2%
길 30
 
4.8%
해 29
 
4.7%
양 29
 
4.7%
번 27
 
4.4%
종 26
 
4.2%
태 26
 
4.2%
Other values (33) 193
31.2%
Common
ValueCountFrequency (%)
1 107
17.2%
90
14.4%
2 76
12.2%
3 48
7.7%
6 45
7.2%
5 40
 
6.4%
- 32
 
5.1%
4 31
 
5.0%
7 31
 
5.0%
8 29
 
4.7%
Other values (5) 94
15.1%
Latin
ValueCountFrequency (%)
L 1
50.0%
M 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 625
50.2%
Hangul 619
49.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 133
21.5%
남 48
 
7.8%
동 46
 
7.4%
항 32
 
5.2%
길 30
 
4.8%
해 29
 
4.7%
양 29
 
4.7%
번 27
 
4.4%
종 26
 
4.2%
태 26
 
4.2%
Other values (33) 193
31.2%
ASCII
ValueCountFrequency (%)
1 107
17.1%
90
14.4%
2 76
12.2%
3 48
7.7%
6 45
7.2%
5 40
 
6.4%
- 32
 
5.1%
4 31
 
5.0%
7 31
 
5.0%
8 29
 
4.6%
Other values (7) 96
15.4%

업종
Text

Distinct53
Distinct (%)37.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-11T02:08:17.516540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length4.8601399
Min length1

Characters and Unicode

Total characters695
Distinct characters104
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)25.2%

Sample

1st row세차업
2nd row자동차정비
3rd row밸브제조업
4th row선박수리
5th row선박수리
ValueCountFrequency (%)
세차업 23
 
14.4%
안경원 19
 
11.9%
선박수리 12
 
7.5%
선박구성부분품제조 10
 
6.2%
의원 7
 
4.4%
자동차정비 7
 
4.4%
및 7
 
4.4%
조립금속 4
 
2.5%
세차업,주유 4
 
2.5%
자동차세차업 3
 
1.9%
Other values (51) 64
40.0%
2023-12-11T02:08:18.265960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 44
 
6.3%
차 41
 
5.9%
조 38
 
5.5%
세 32
 
4.6%
제 31
 
4.5%
박 30
 
4.3%
원 29
 
4.2%
선 29
 
4.2%
안 19
 
2.7%
경 19
 
2.7%
Other values (94) 383
55.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 671
96.5%
Space Separator 16
 
2.3%
Other Punctuation 4
 
0.6%
Dash Punctuation 1
 
0.1%
Control 1
 
0.1%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 44
 
6.6%
차 41
 
6.1%
조 38
 
5.7%
세 32
 
4.8%
제 31
 
4.6%
박 30
 
4.5%
원 29
 
4.3%
선 29
 
4.3%
안 19
 
2.8%
경 19
 
2.8%
Other values (88) 359
53.5%
Space Separator
ValueCountFrequency (%)
16
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Control
ValueCountFrequency (%)
1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 671
96.5%
Common 24
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 44
 
6.6%
차 41
 
6.1%
조 38
 
5.7%
세 32
 
4.8%
제 31
 
4.6%
박 30
 
4.5%
원 29
 
4.3%
선 29
 
4.3%
안 19
 
2.8%
경 19
 
2.8%
Other values (88) 359
53.5%
Common
ValueCountFrequency (%)
16
66.7%
, 4
 
16.7%
- 1
 
4.2%
1
 
4.2%
) 1
 
4.2%
( 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 671
96.5%
ASCII 24
 
3.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 44
 
6.6%
차 41
 
6.1%
조 38
 
5.7%
세 32
 
4.8%
제 31
 
4.6%
박 30
 
4.5%
원 29
 
4.3%
선 29
 
4.3%
안 19
 
2.8%
경 19
 
2.8%
Other values (88) 359
53.5%
ASCII
ValueCountFrequency (%)
16
66.7%
, 4
 
16.7%
- 1
 
4.2%
1
 
4.2%
) 1
 
4.2%
( 1
 
4.2%

대기
Boolean

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size275.0 B
False
96 
True
47 
ValueCountFrequency (%)
False 96
67.1%
True 47
32.9%
2023-12-11T02:08:18.534535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

수질
Boolean

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size275.0 B
False
90 
True
53 
ValueCountFrequency (%)
False 90
62.9%
True 53
37.1%
2023-12-11T02:08:18.727153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

소음
Boolean

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size275.0 B
False
110 
True
33 
ValueCountFrequency (%)
False 110
76.9%
True 33
 
23.1%
2023-12-11T02:08:18.909820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

VOC
Boolean

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size275.0 B
False
117 
True
26 
ValueCountFrequency (%)
False 117
81.8%
True 26
 
18.2%
2023-12-11T02:08:19.085436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

기타수질
Boolean

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size275.0 B
False
107 
True
36 
ValueCountFrequency (%)
False 107
74.8%
True 36
 
25.2%
2023-12-11T02:08:19.248342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:08:19.372365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종대기수질소음VOC기타수질
업종1.0000.9200.9710.9380.9681.000
대기0.9201.0000.0000.0000.3970.254
수질0.9710.0001.0000.2180.2050.615
소음0.9380.0000.2181.0000.2720.379
VOC0.9680.3970.2050.2721.0000.367
기타수질1.0000.2540.6150.3790.3671.000
2023-12-11T02:08:19.561152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대기VOC수질소음기타수질
대기1.0000.2600.0000.0000.163
VOC0.2601.0000.1310.1750.239
수질0.0000.1311.0000.1400.422
소음0.0000.1750.1401.0000.247
기타수질0.1630.2390.4220.2471.000
2023-12-11T02:08:19.715870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대기수질소음VOC기타수질
대기1.0000.0000.0000.2600.163
수질0.0001.0000.1400.1310.422
소음0.0000.1401.0000.1750.247
VOC0.2600.1310.1751.0000.239
기타수질0.1630.4220.2470.2391.000

Missing values

2023-12-11T02:08:14.685615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:08:14.913548image/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

업소명소재지업종대기수질소음VOC기타수질
0남항주유소남항서로116세차업NYNNN
1현대자동차 남항점절영로42자동차정비NNNNY
2케이에스브이남항서로 104번길 6밸브제조업YYYNN
3(주)일성조선남항서로 69-1선박수리NNYYN
4금강조선(주)남항서로 63선박수리NNYYN
5보은산업(주)남항남로50세차업NYNNN
6덕성교통(주)남항서로 12-12세차업NYNNN
7대동메탈공업(주)남항남로40조립금속제품제조YYYNN
8(주)종합해사남항남로22선박구성부분품제조YYYNN
9우진공업사남항남로6선박구성부분품제조NNYNN
업소명소재지업종대기수질소음VOC기타수질
133다비치 안경원태종로 92안경원NNNNY
134바른눈 안경원영선대로 87안경원NNNNY
135은하안경원절영로 123안경원NNNNY
136실로암안경원태종로 108-1안경원NNNNY
137스타글라스 렌즈아이대교동1가 150-2안경원NNNNY
138실로암안경원 동삼점동삼로 67안경원NNNNY
139세계식품㈜해양로195번길68과자류및코코아제품제조업YNNNN
140모모스커피 주식회사봉래나루로 160커피가공업YNNNN
141㈜나부코태종로 173자동차세차업NYNNN
142영도구청태종로 423공공기관YNNNN