Overview

Dataset statistics

Number of variables4
Number of observations135
Missing cells39
Missing cells (%)7.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.3 KiB
Average record size in memory33.0 B

Variable types

Text4

Dataset

Description2022.7.4. 기준 부산광역시 기장군 관내 식품제조가공업 현황에 대한 데이터(명칭, 소재지, 전화번호) 등의 항목을 제공합니다.
Author부산광역시 기장군
URLhttps://www.data.go.kr/data/15047917/fileData.do

Alerts

소재지전화번호 has 39 (28.9%) missing valuesMissing

Reproduction

Analysis started2023-09-13 20:36:22.193573
Analysis finished2023-09-13 20:36:23.569401
Duration1.38 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

Distinct132
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-09-14T05:36:23.896429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length15
Mean length6.8296296
Min length2

Characters and Unicode

Total characters922
Distinct characters235
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique129 ?
Unique (%)95.6%

Sample

1st row동해식품
2nd row해양식품
3rd row기장특산물영어조합
4th row신앙촌소비조합주식회사
5th row염씨네식품
ValueCountFrequency (%)
주식회사 12
 
7.6%
동해식품 2
 
1.3%
기장식품 2
 
1.3%
농업회사법인 2
 
1.3%
주)지이스트냉동 2
 
1.3%
한미트&푸드 1
 
0.6%
마노커피r&d 1
 
0.6%
제이엔오 1
 
0.6%
다온식품 1
 
0.6%
굼벵이농부(주 1
 
0.6%
Other values (133) 133
84.2%
2023-09-14T05:36:24.661978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 49
 
5.3%
식 44
 
4.8%
) 43
 
4.7%
( 43
 
4.7%
이 33
 
3.6%
품 31
 
3.4%
23
 
2.5%
드 21
 
2.3%
사 20
 
2.2%
스 20
 
2.2%
Other values (225) 595
64.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 752
81.6%
Close Punctuation 43
 
4.7%
Open Punctuation 43
 
4.7%
Uppercase Letter 40
 
4.3%
Space Separator 23
 
2.5%
Lowercase Letter 9
 
1.0%
Decimal Number 6
 
0.7%
Other Punctuation 5
 
0.5%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 49
 
6.5%
식 44
 
5.9%
이 33
 
4.4%
품 31
 
4.1%
드 21
 
2.8%
사 20
 
2.7%
스 20
 
2.7%
푸 18
 
2.4%
에 16
 
2.1%
회 16
 
2.1%
Other values (192) 484
64.4%
Uppercase Letter
ValueCountFrequency (%)
F 6
15.0%
O 6
15.0%
T 4
10.0%
S 4
10.0%
E 3
7.5%
D 3
7.5%
A 3
7.5%
H 2
 
5.0%
R 2
 
5.0%
L 2
 
5.0%
Other values (5) 5
12.5%
Lowercase Letter
ValueCountFrequency (%)
t 2
22.2%
h 1
11.1%
e 1
11.1%
r 1
11.1%
a 1
11.1%
y 1
11.1%
o 1
11.1%
c 1
11.1%
Decimal Number
ValueCountFrequency (%)
3 2
33.3%
9 2
33.3%
1 1
16.7%
2 1
16.7%
Other Punctuation
ValueCountFrequency (%)
& 3
60.0%
. 2
40.0%
Close Punctuation
ValueCountFrequency (%)
) 43
100.0%
Open Punctuation
ValueCountFrequency (%)
( 43
100.0%
Space Separator
ValueCountFrequency (%)
23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 751
81.5%
Common 121
 
13.1%
Latin 49
 
5.3%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 49
 
6.5%
식 44
 
5.9%
이 33
 
4.4%
품 31
 
4.1%
드 21
 
2.8%
사 20
 
2.7%
스 20
 
2.7%
푸 18
 
2.4%
에 16
 
2.1%
회 16
 
2.1%
Other values (191) 483
64.3%
Latin
ValueCountFrequency (%)
F 6
12.2%
O 6
12.2%
T 4
 
8.2%
S 4
 
8.2%
E 3
 
6.1%
D 3
 
6.1%
A 3
 
6.1%
H 2
 
4.1%
R 2
 
4.1%
L 2
 
4.1%
Other values (13) 14
28.6%
Common
ValueCountFrequency (%)
) 43
35.5%
( 43
35.5%
23
19.0%
& 3
 
2.5%
3 2
 
1.7%
9 2
 
1.7%
. 2
 
1.7%
1 1
 
0.8%
- 1
 
0.8%
2 1
 
0.8%
Han
ValueCountFrequency (%)
情 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 751
81.5%
ASCII 170
 
18.4%
CJK 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 49
 
6.5%
식 44
 
5.9%
이 33
 
4.4%
품 31
 
4.1%
드 21
 
2.8%
사 20
 
2.7%
스 20
 
2.7%
푸 18
 
2.4%
에 16
 
2.1%
회 16
 
2.1%
Other values (191) 483
64.3%
ASCII
ValueCountFrequency (%)
) 43
25.3%
( 43
25.3%
23
13.5%
F 6
 
3.5%
O 6
 
3.5%
T 4
 
2.4%
S 4
 
2.4%
& 3
 
1.8%
E 3
 
1.8%
D 3
 
1.8%
Other values (23) 32
18.8%
CJK
ValueCountFrequency (%)
情 1
100.0%

소재지전화번호
Text

MISSING 

Distinct94
Distinct (%)97.9%
Missing39
Missing (%)28.9%
Memory size1.2 KiB
2023-09-14T05:36:25.159968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.09375
Min length12

Characters and Unicode

Total characters1161
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

Unique92 ?
Unique (%)95.8%

Sample

1st row051-727-2017
2nd row051-727-4879
3rd row051-727-7366
4th row051-722-7091
5th row051-722-9321
ValueCountFrequency (%)
051-782-0961 2
 
2.1%
051-723-5570 2
 
2.1%
051-266-3636 1
 
1.0%
051-247-9183 1
 
1.0%
051-727-2017 1
 
1.0%
051-702-3233 1
 
1.0%
051-727-6906 1
 
1.0%
051-524-0689 1
 
1.0%
051-723-7766 1
 
1.0%
051-988-7852 1
 
1.0%
Other values (84) 84
87.5%
2023-09-14T05:36:25.820995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 192
16.5%
0 169
14.6%
1 154
13.3%
5 142
12.2%
7 140
12.1%
2 129
11.1%
3 55
 
4.7%
8 52
 
4.5%
6 52
 
4.5%
4 42
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 969
83.5%
Dash Punctuation 192
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 169
17.4%
1 154
15.9%
5 142
14.7%
7 140
14.4%
2 129
13.3%
3 55
 
5.7%
8 52
 
5.4%
6 52
 
5.4%
4 42
 
4.3%
9 34
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 192
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1161
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 192
16.5%
0 169
14.6%
1 154
13.3%
5 142
12.2%
7 140
12.1%
2 129
11.1%
3 55
 
4.7%
8 52
 
4.5%
6 52
 
4.5%
4 42
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1161
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 192
16.5%
0 169
14.6%
1 154
13.3%
5 142
12.2%
7 140
12.1%
2 129
11.1%
3 55
 
4.7%
8 52
 
4.5%
6 52
 
4.5%
4 42
 
3.6%

소재지(도로명)
Text

Distinct133
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-09-14T05:36:26.305534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length42
Mean length26.814815
Min length20

Characters and Unicode

Total characters3620
Distinct characters132
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique131 ?
Unique (%)97.0%

Sample

1st row부산광역시 기장군 장안읍 해맞이로 397, 1층
2nd row부산광역시 기장군 장안읍 해맞이로 335
3rd row부산광역시 기장군 장안읍 오리길 96
4th row부산광역시 기장군 기장읍 죽성로 197
5th row부산광역시 기장군 기장읍 대변3길 45
ValueCountFrequency (%)
부산광역시 135
16.9%
기장군 135
16.9%
기장읍 59
 
7.4%
1층 48
 
6.0%
정관읍 32
 
4.0%
일광면 20
 
2.5%
장안읍 19
 
2.4%
대변로 12
 
1.5%
7 7
 
0.9%
기장해안로 7
 
0.9%
Other values (224) 324
40.6%
2023-09-14T05:36:27.049679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
663
18.3%
장 226
 
6.2%
기 207
 
5.7%
1 183
 
5.1%
산 161
 
4.4%
광 158
 
4.4%
부 139
 
3.8%
시 136
 
3.8%
역 135
 
3.7%
군 135
 
3.7%
Other values (122) 1477
40.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2176
60.1%
Space Separator 663
 
18.3%
Decimal Number 613
 
16.9%
Other Punctuation 94
 
2.6%
Dash Punctuation 30
 
0.8%
Close Punctuation 14
 
0.4%
Open Punctuation 14
 
0.4%
Uppercase Letter 12
 
0.3%
Math Symbol 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 226
 
10.4%
기 207
 
9.5%
산 161
 
7.4%
광 158
 
7.3%
부 139
 
6.4%
시 136
 
6.2%
역 135
 
6.2%
군 135
 
6.2%
읍 110
 
5.1%
로 87
 
4.0%
Other values (102) 682
31.3%
Decimal Number
ValueCountFrequency (%)
1 183
29.9%
3 73
 
11.9%
2 68
 
11.1%
6 65
 
10.6%
5 51
 
8.3%
0 49
 
8.0%
4 43
 
7.0%
7 32
 
5.2%
8 26
 
4.2%
9 23
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
B 6
50.0%
A 5
41.7%
C 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
, 91
96.8%
. 3
 
3.2%
Space Separator
ValueCountFrequency (%)
663
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2176
60.1%
Common 1432
39.6%
Latin 12
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 226
 
10.4%
기 207
 
9.5%
산 161
 
7.4%
광 158
 
7.3%
부 139
 
6.4%
시 136
 
6.2%
역 135
 
6.2%
군 135
 
6.2%
읍 110
 
5.1%
로 87
 
4.0%
Other values (102) 682
31.3%
Common
ValueCountFrequency (%)
663
46.3%
1 183
 
12.8%
, 91
 
6.4%
3 73
 
5.1%
2 68
 
4.7%
6 65
 
4.5%
5 51
 
3.6%
0 49
 
3.4%
4 43
 
3.0%
7 32
 
2.2%
Other values (7) 114
 
8.0%
Latin
ValueCountFrequency (%)
B 6
50.0%
A 5
41.7%
C 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2176
60.1%
ASCII 1444
39.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
663
45.9%
1 183
 
12.7%
, 91
 
6.3%
3 73
 
5.1%
2 68
 
4.7%
6 65
 
4.5%
5 51
 
3.5%
0 49
 
3.4%
4 43
 
3.0%
7 32
 
2.2%
Other values (10) 126
 
8.7%
Hangul
ValueCountFrequency (%)
장 226
 
10.4%
기 207
 
9.5%
산 161
 
7.4%
광 158
 
7.3%
부 139
 
6.4%
시 136
 
6.2%
역 135
 
6.2%
군 135
 
6.2%
읍 110
 
5.1%
로 87
 
4.0%
Other values (102) 682
31.3%

식품의종류
Text

Distinct78
Distinct (%)57.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-09-14T05:36:27.408038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length85
Median length58
Mean length17.607407
Min length4

Characters and Unicode

Total characters2377
Distinct characters72
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

Unique62 ?
Unique (%)45.9%

Sample

1st row 젓갈류, 두부류또는묵류
2nd row 젓갈류
3rd row 젓갈류, 규격외일반가공식품, 수산가공식품류
4th row 두부류또는묵류, 규격외일반가공식품
5th row 젓갈류, 수산가공식품류
ValueCountFrequency (%)
조미식품 33
 
8.9%
규격외일반가공식품 31
 
8.3%
음료류 27
 
7.3%
수산가공식품류 26
 
7.0%
또는 25
 
6.7%
젓갈류 24
 
6.5%
과자류 21
 
5.6%
기타식품류 21
 
5.6%
커피 16
 
4.3%
떡류 15
 
4.0%
Other values (36) 133
35.8%
2023-09-14T05:36:28.010719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
677
28.5%
류 245
 
10.3%
, 185
 
7.8%
식 146
 
6.1%
품 146
 
6.1%
가 76
 
3.2%
공 76
 
3.2%
조 46
 
1.9%
산 36
 
1.5%
미 34
 
1.4%
Other values (62) 710
29.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1514
63.7%
Space Separator 677
28.5%
Other Punctuation 186
 
7.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
류 245
 
16.2%
식 146
 
9.6%
품 146
 
9.6%
가 76
 
5.0%
공 76
 
5.0%
조 46
 
3.0%
산 36
 
2.4%
미 34
 
2.2%
는 34
 
2.2%
또 34
 
2.2%
Other values (59) 641
42.3%
Other Punctuation
ValueCountFrequency (%)
, 185
99.5%
. 1
 
0.5%
Space Separator
ValueCountFrequency (%)
677
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1514
63.7%
Common 863
36.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
류 245
 
16.2%
식 146
 
9.6%
품 146
 
9.6%
가 76
 
5.0%
공 76
 
5.0%
조 46
 
3.0%
산 36
 
2.4%
미 34
 
2.2%
는 34
 
2.2%
또 34
 
2.2%
Other values (59) 641
42.3%
Common
ValueCountFrequency (%)
677
78.4%
, 185
 
21.4%
. 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1514
63.7%
ASCII 863
36.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
677
78.4%
, 185
 
21.4%
. 1
 
0.1%
Hangul
ValueCountFrequency (%)
류 245
 
16.2%
식 146
 
9.6%
품 146
 
9.6%
가 76
 
5.0%
공 76
 
5.0%
조 46
 
3.0%
산 36
 
2.4%
미 34
 
2.2%
는 34
 
2.2%
또 34
 
2.2%
Other values (59) 641
42.3%

Correlations

2023-09-14T05:36:28.151376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지전화번호식품의종류
소재지전화번호1.0000.994
식품의종류0.9941.000

Missing values

2023-09-14T05:36:23.316324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-09-14T05:36:23.501738image/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

업소명소재지전화번호소재지(도로명)식품의종류
0동해식품051-727-2017부산광역시 기장군 장안읍 해맞이로 397, 1층젓갈류, 두부류또는묵류
1해양식품051-727-4879부산광역시 기장군 장안읍 해맞이로 335젓갈류
2기장특산물영어조합051-727-7366부산광역시 기장군 장안읍 오리길 96젓갈류, 규격외일반가공식품, 수산가공식품류
3신앙촌소비조합주식회사051-722-7091부산광역시 기장군 기장읍 죽성로 197두부류또는묵류, 규격외일반가공식품
4염씨네식품051-722-9321부산광역시 기장군 기장읍 대변3길 45젓갈류, 수산가공식품류
5신광식품051-727-2073부산광역시 기장군 장안읍 해맞이로 339젓갈류
6기장바다<NA>부산광역시 기장군 일광면 문오성길 695수산가공식품류
7기장식품051-721-2151부산광역시 기장군 기장읍 기장해안로 593-6젓갈류
8신영식품051-782-0961부산광역시 기장군 정관읍 산단7로 69식용유지류, 기타식품류, 규격외일반가공식품
9구포종합식품051-727-7111부산광역시 기장군 정관읍 예림길 28-4면류
업소명소재지전화번호소재지(도로명)식품의종류
125씨드(SEA.D)051-724-0430부산광역시 기장군 기장읍 대청로36번길 58, 1층절임류 또는 조림류
126(주)한국푸드본 정관공장055-381-5123부산광역시 기장군 정관읍 산단1로 66-81, 1~2층과자류, 빵류 또는 떡류, 즉석식품류
127에스엔피푸드051-722-2643부산광역시 기장군 기장읍 배산로68번길 16-4, 1층수산가공식품류
128한식품<NA>부산광역시 기장군 기장읍 기장대로 475-3수산가공식품류
129더팩토리(the Factory)<NA>부산광역시 기장군 장안읍 장안로 265, 1층음료류
130메인디저트<NA>부산광역시 기장군 정관읍 정관로 350, 323동 103호 (이지 더원 3차 아파트)과자류, 빵류 또는 떡류
131빌리프커피<NA>부산광역시 기장군 정관읍 모전2길 27, 1층과자류, 빵류 또는 떡류
132아이엠어셰프<NA>부산광역시 기장군 기장읍 기장대로413번길 78, 1층절임류 또는 조림류, 즉석식품류
133(주)엔제이에프앤비<NA>부산광역시 기장군 장안읍 장곡길 173, 시장농수산물판매장 1층 102호기타식품류
134주식회사 브래드<NA>부산광역시 기장군 정관읍 산단1로 66-81, 3층과자류, 빵류 또는 떡류