Overview

Dataset statistics

Number of variables4
Number of observations304
Missing cells1
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.6 KiB
Average record size in memory32.4 B

Variable types

Categorical1
Text3

Dataset

Description인천광역시 연수구 축산물위생업 현황 공공데이터로서 구분, 사업장명칭, 권리주체명, 소재지주소 등의 항목으로 이루어져 있습니다.
Author인천광역시 연수구
URLhttps://www.data.go.kr/data/15087374/fileData.do

Reproduction

Analysis started2024-04-21 01:59:01.090680
Analysis finished2024-04-21 01:59:01.891653
Duration0.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct8
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
식육판매업
105 
식육즉석판매가공업
104 
축산물유통전문판매업
45 
우유류판매업
37 
식육포장처리업
 
9
Other values (3)
 
4

Length

Max length10
Median length9
Mean length7.3355263
Min length5

Unique

Unique2 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
식육판매업 105
34.5%
식육즉석판매가공업 104
34.2%
축산물유통전문판매업 45
14.8%
우유류판매업 37
 
12.2%
식육포장처리업 9
 
3.0%
식용란수집판매업 2
 
0.7%
식육부산물전문판매업 1
 
0.3%
축산물수입판매업 1
 
0.3%

Length

2024-04-21T10:59:01.961244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:59:02.067701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육판매업 105
34.5%
식육즉석판매가공업 104
34.2%
축산물유통전문판매업 45
14.8%
우유류판매업 37
 
12.2%
식육포장처리업 9
 
3.0%
식용란수집판매업 2
 
0.7%
식육부산물전문판매업 1
 
0.3%
축산물수입판매업 1
 
0.3%

사업장명칭
Text

Distinct287
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-04-21T10:59:02.326988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length13.5
Mean length7.4473684
Min length2

Characters and Unicode

Total characters2264
Distinct characters356
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique272 ?
Unique (%)89.5%

Sample

1st row안심축산물전문점 옥련점
2nd row유천정육점
3rd row무지개정육점
4th row김포정육점
5th row원풍축산
ValueCountFrequency (%)
주식회사 13
 
2.9%
정육점 12
 
2.7%
축산 9
 
2.0%
송도점 9
 
2.0%
서울우유 6
 
1.3%
송도 4
 
0.9%
미트 4
 
0.9%
연수점 4
 
0.9%
ok목장 3
 
0.7%
남양유업 3
 
0.7%
Other values (338) 382
85.1%
2024-04-21T10:59:02.757252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
147
 
6.5%
점 90
 
4.0%
주 68
 
3.0%
( 63
 
2.8%
) 63
 
2.8%
정 59
 
2.6%
육 54
 
2.4%
우 49
 
2.2%
축 45
 
2.0%
산 44
 
1.9%
Other values (346) 1582
69.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1881
83.1%
Space Separator 147
 
6.5%
Open Punctuation 63
 
2.8%
Close Punctuation 63
 
2.8%
Lowercase Letter 47
 
2.1%
Uppercase Letter 47
 
2.1%
Decimal Number 10
 
0.4%
Other Punctuation 6
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 90
 
4.8%
주 68
 
3.6%
정 59
 
3.1%
육 54
 
2.9%
우 49
 
2.6%
축 45
 
2.4%
산 44
 
2.3%
유 42
 
2.2%
도 42
 
2.2%
트 41
 
2.2%
Other values (302) 1347
71.6%
Uppercase Letter
ValueCountFrequency (%)
S 7
14.9%
A 4
 
8.5%
F 4
 
8.5%
M 4
 
8.5%
K 4
 
8.5%
D 3
 
6.4%
H 3
 
6.4%
O 3
 
6.4%
G 3
 
6.4%
L 2
 
4.3%
Other values (8) 10
21.3%
Lowercase Letter
ValueCountFrequency (%)
n 8
17.0%
i 7
14.9%
a 6
12.8%
t 4
8.5%
r 4
8.5%
g 3
 
6.4%
e 3
 
6.4%
h 2
 
4.3%
u 2
 
4.3%
o 2
 
4.3%
Other values (4) 6
12.8%
Decimal Number
ValueCountFrequency (%)
4 3
30.0%
8 2
20.0%
1 2
20.0%
2 1
 
10.0%
3 1
 
10.0%
9 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
. 3
50.0%
& 2
33.3%
· 1
 
16.7%
Space Separator
ValueCountFrequency (%)
147
100.0%
Open Punctuation
ValueCountFrequency (%)
( 63
100.0%
Close Punctuation
ValueCountFrequency (%)
) 63
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1878
83.0%
Common 289
 
12.8%
Latin 94
 
4.2%
Han 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 90
 
4.8%
주 68
 
3.6%
정 59
 
3.1%
육 54
 
2.9%
우 49
 
2.6%
축 45
 
2.4%
산 44
 
2.3%
유 42
 
2.2%
도 42
 
2.2%
트 41
 
2.2%
Other values (299) 1344
71.6%
Latin
ValueCountFrequency (%)
n 8
 
8.5%
i 7
 
7.4%
S 7
 
7.4%
a 6
 
6.4%
t 4
 
4.3%
A 4
 
4.3%
F 4
 
4.3%
r 4
 
4.3%
M 4
 
4.3%
K 4
 
4.3%
Other values (22) 42
44.7%
Common
ValueCountFrequency (%)
147
50.9%
( 63
21.8%
) 63
21.8%
. 3
 
1.0%
4 3
 
1.0%
& 2
 
0.7%
8 2
 
0.7%
1 2
 
0.7%
2 1
 
0.3%
3 1
 
0.3%
Other values (2) 2
 
0.7%
Han
ValueCountFrequency (%)
肉 1
33.3%
正 1
33.3%
家 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1878
83.0%
ASCII 382
 
16.9%
CJK 3
 
0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
147
38.5%
( 63
16.5%
) 63
16.5%
n 8
 
2.1%
i 7
 
1.8%
S 7
 
1.8%
a 6
 
1.6%
t 4
 
1.0%
A 4
 
1.0%
F 4
 
1.0%
Other values (33) 69
18.1%
Hangul
ValueCountFrequency (%)
점 90
 
4.8%
주 68
 
3.6%
정 59
 
3.1%
육 54
 
2.9%
우 49
 
2.6%
축 45
 
2.4%
산 44
 
2.3%
유 42
 
2.2%
도 42
 
2.2%
트 41
 
2.2%
Other values (299) 1344
71.6%
CJK
ValueCountFrequency (%)
肉 1
33.3%
正 1
33.3%
家 1
33.3%
None
ValueCountFrequency (%)
· 1
100.0%

권리주체명
Text

Distinct278
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-04-21T10:59:03.028032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length3
Mean length4.9440789
Min length2

Characters and Unicode

Total characters1503
Distinct characters268
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

Unique256 ?
Unique (%)84.2%

Sample

1st row정경미
2nd row조남석
3rd row김영환
4th row이순옥
5th row백종석
ValueCountFrequency (%)
주식회사 25
 
7.2%
dining 3
 
0.9%
주)세계종합유통 3
 
0.9%
에치와이 3
 
0.9%
안인호 3
 
0.9%
s.m 3
 
0.9%
백종석 2
 
0.6%
이상삼 2
 
0.6%
김재석 2
 
0.6%
박준성 2
 
0.6%
Other values (284) 299
86.2%
2024-04-21T10:59:03.390046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 83
 
5.5%
이 63
 
4.2%
김 55
 
3.7%
) 51
 
3.4%
( 51
 
3.4%
43
 
2.9%
식 33
 
2.2%
정 33
 
2.2%
사 28
 
1.9%
회 27
 
1.8%
Other values (258) 1036
68.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1243
82.7%
Uppercase Letter 96
 
6.4%
Close Punctuation 51
 
3.4%
Open Punctuation 51
 
3.4%
Space Separator 43
 
2.9%
Lowercase Letter 15
 
1.0%
Other Punctuation 3
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 83
 
6.7%
이 63
 
5.1%
김 55
 
4.4%
식 33
 
2.7%
정 33
 
2.7%
사 28
 
2.3%
회 27
 
2.2%
박 24
 
1.9%
스 20
 
1.6%
영 19
 
1.5%
Other values (229) 858
69.0%
Uppercase Letter
ValueCountFrequency (%)
A 13
13.5%
O 11
11.5%
I 8
 
8.3%
D 7
 
7.3%
R 7
 
7.3%
S 7
 
7.3%
N 7
 
7.3%
M 6
 
6.2%
V 4
 
4.2%
Y 4
 
4.2%
Other values (11) 22
22.9%
Lowercase Letter
ValueCountFrequency (%)
i 6
40.0%
n 6
40.0%
g 3
20.0%
Close Punctuation
ValueCountFrequency (%)
) 51
100.0%
Open Punctuation
ValueCountFrequency (%)
( 51
100.0%
Space Separator
ValueCountFrequency (%)
43
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1243
82.7%
Common 149
 
9.9%
Latin 111
 
7.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 83
 
6.7%
이 63
 
5.1%
김 55
 
4.4%
식 33
 
2.7%
정 33
 
2.7%
사 28
 
2.3%
회 27
 
2.2%
박 24
 
1.9%
스 20
 
1.6%
영 19
 
1.5%
Other values (229) 858
69.0%
Latin
ValueCountFrequency (%)
A 13
 
11.7%
O 11
 
9.9%
I 8
 
7.2%
D 7
 
6.3%
R 7
 
6.3%
S 7
 
6.3%
N 7
 
6.3%
i 6
 
5.4%
n 6
 
5.4%
M 6
 
5.4%
Other values (14) 33
29.7%
Common
ValueCountFrequency (%)
) 51
34.2%
( 51
34.2%
43
28.9%
. 3
 
2.0%
- 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1243
82.7%
ASCII 260
 
17.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 83
 
6.7%
이 63
 
5.1%
김 55
 
4.4%
식 33
 
2.7%
정 33
 
2.7%
사 28
 
2.3%
회 27
 
2.2%
박 24
 
1.9%
스 20
 
1.6%
영 19
 
1.5%
Other values (229) 858
69.0%
ASCII
ValueCountFrequency (%)
) 51
19.6%
( 51
19.6%
43
16.5%
A 13
 
5.0%
O 11
 
4.2%
I 8
 
3.1%
D 7
 
2.7%
R 7
 
2.7%
S 7
 
2.7%
N 7
 
2.7%
Other values (19) 55
21.2%

소재지주소(지번)
Text

Distinct280
Distinct (%)92.4%
Missing1
Missing (%)0.3%
Memory size2.5 KiB
2024-04-21T10:59:03.680121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length40
Mean length25.970297
Min length14

Characters and Unicode

Total characters7869
Distinct characters211
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique260 ?
Unique (%)85.8%

Sample

1st row인천광역시 연수구 옥련동 213-2
2nd row인천광역시 연수구 연수동 534 유천아파트 상가 지하 129호
3rd row인천광역시 연수구 동춘동 931 무지개상가 120호
4th row인천광역시 연수구 청학동 72-5 (1층)
5th row인천광역시 연수구 옥련동 308-1
ValueCountFrequency (%)
인천광역시 303
19.2%
연수구 303
19.2%
송도동 97
 
6.1%
연수동 64
 
4.0%
옥련동 52
 
3.3%
청학동 37
 
2.3%
동춘동 34
 
2.2%
송도 22
 
1.4%
선학동 19
 
1.2%
1층 12
 
0.8%
Other values (462) 638
40.4%
2024-04-21T10:59:04.135469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1496
19.0%
동 385
 
4.9%
수 373
 
4.7%
연 373
 
4.7%
1 357
 
4.5%
시 316
 
4.0%
천 308
 
3.9%
인 306
 
3.9%
광 304
 
3.9%
구 303
 
3.9%
Other values (201) 3348
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4550
57.8%
Decimal Number 1514
 
19.2%
Space Separator 1496
 
19.0%
Dash Punctuation 242
 
3.1%
Uppercase Letter 43
 
0.5%
Other Punctuation 10
 
0.1%
Lowercase Letter 8
 
0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 385
 
8.5%
수 373
 
8.2%
연 373
 
8.2%
시 316
 
6.9%
천 308
 
6.8%
인 306
 
6.7%
광 304
 
6.7%
구 303
 
6.7%
역 303
 
6.7%
송 156
 
3.4%
Other values (164) 1423
31.3%
Uppercase Letter
ValueCountFrequency (%)
B 10
23.3%
A 7
16.3%
C 7
16.3%
S 3
 
7.0%
R 3
 
7.0%
H 3
 
7.0%
T 2
 
4.7%
E 2
 
4.7%
M 2
 
4.7%
D 2
 
4.7%
Other values (2) 2
 
4.7%
Decimal Number
ValueCountFrequency (%)
1 357
23.6%
2 199
13.1%
3 169
11.2%
0 162
10.7%
5 148
9.8%
4 134
 
8.9%
9 108
 
7.1%
6 95
 
6.3%
8 79
 
5.2%
7 63
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
e 3
37.5%
s 2
25.0%
m 1
 
12.5%
a 1
 
12.5%
t 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
, 7
70.0%
. 1
 
10.0%
@ 1
 
10.0%
& 1
 
10.0%
Space Separator
ValueCountFrequency (%)
1496
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 242
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4550
57.8%
Common 3267
41.5%
Latin 52
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 385
 
8.5%
수 373
 
8.2%
연 373
 
8.2%
시 316
 
6.9%
천 308
 
6.8%
인 306
 
6.7%
광 304
 
6.7%
구 303
 
6.7%
역 303
 
6.7%
송 156
 
3.4%
Other values (164) 1423
31.3%
Common
ValueCountFrequency (%)
1496
45.8%
1 357
 
10.9%
- 242
 
7.4%
2 199
 
6.1%
3 169
 
5.2%
0 162
 
5.0%
5 148
 
4.5%
4 134
 
4.1%
9 108
 
3.3%
6 95
 
2.9%
Other values (9) 157
 
4.8%
Latin
ValueCountFrequency (%)
B 10
19.2%
A 7
13.5%
C 7
13.5%
S 3
 
5.8%
e 3
 
5.8%
R 3
 
5.8%
H 3
 
5.8%
s 2
 
3.8%
T 2
 
3.8%
E 2
 
3.8%
Other values (8) 10
19.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4550
57.8%
ASCII 3318
42.2%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1496
45.1%
1 357
 
10.8%
- 242
 
7.3%
2 199
 
6.0%
3 169
 
5.1%
0 162
 
4.9%
5 148
 
4.5%
4 134
 
4.0%
9 108
 
3.3%
6 95
 
2.9%
Other values (26) 208
 
6.3%
Hangul
ValueCountFrequency (%)
동 385
 
8.5%
수 373
 
8.2%
연 373
 
8.2%
시 316
 
6.9%
천 308
 
6.8%
인 306
 
6.7%
광 304
 
6.7%
구 303
 
6.7%
역 303
 
6.7%
송 156
 
3.4%
Other values (164) 1423
31.3%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%

Missing values

2024-04-21T10:59:01.770499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T10:59:01.850132image/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

구분사업장명칭권리주체명소재지주소(지번)
0식육판매업안심축산물전문점 옥련점정경미인천광역시 연수구 옥련동 213-2
1식육판매업유천정육점조남석인천광역시 연수구 연수동 534 유천아파트 상가 지하 129호
2식육판매업무지개정육점김영환인천광역시 연수구 동춘동 931 무지개상가 120호
3식육판매업김포정육점이순옥인천광역시 연수구 청학동 72-5 (1층)
4식육판매업원풍축산백종석인천광역시 연수구 옥련동 308-1
5식육판매업성지축산김우중인천광역시 연수구 동춘동 961 태평2차아파트 상가동 114호
6식육판매업청학정육점최재분인천광역시 연수구 청학동 550-1
7식육판매업하나정육점김영주인천광역시 연수구 연수동 513-18 202호
8식육판매업남인천농업협동조합남인천농업협동조합인천광역시 연수구 옥련동 334-1 지하1층
9식육판매업농장한우정육점이성순인천광역시 연수구 청학동 59블럭 4로트
구분사업장명칭권리주체명소재지주소(지번)
294식육즉석판매가공업시골목장장윤정인천광역시 연수구 송도동 312-4 호반써밋 송도 111동 107호
295식육즉석판매가공업(주)백제한우(주)백제한우인천광역시 연수구 송도동 4-1 송도 더샵 퍼스트월드 H동 107호
296식육즉석판매가공업일등정육점백진기인천광역시 연수구 연수동 582-2 솔밭마을아파트 상가동 107호
297식육즉석판매가공업대관령 축산박양운인천광역시 연수구 옥련동 379-2
298식육즉석판매가공업육화선최선일인천광역시 연수구 선학동 406-5 경희빌딩
299식육즉석판매가공업웅이식자재마트주식회사 와이제이양지 (YJ)인천광역시 연수구 연수동 594
300식육즉석판매가공업두총각네축산조안나인천광역시 연수구 옥련동 194-107 그린뱅크
301식육즉석판매가공업하림닭집노혜영인천광역시 연수구 옥련동 633-5 옥련시장 31호점
302식육즉석판매가공업한우뜰이재훈인천광역시 연수구 연수동 594
303축산물수입판매업인영정육백화점박미애인천광역시 연수구 동춘동 942 아주A상가 106호