Overview

Dataset statistics

Number of variables8
Number of observations520
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory33.1 KiB
Average record size in memory65.3 B

Variable types

Numeric1
Text5
Categorical1
DateTime1

Dataset

Description인천광역시 서구 HACCP 인증업소 현황에 대한 데이터로 연번, 업체명, 업종, 품목(유형), 주소, 인증번호, 최초인증일, 유효기간 항목을 제공합니다.
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15102157&srcSe=7661IVAWM27C61E190

Alerts

업종 is highly imbalanced (59.4%)Imbalance
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-18 05:00:48.335108
Analysis finished2024-03-18 05:00:49.296511
Duration0.96 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct520
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean260.5
Minimum1
Maximum520
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2024-03-18T14:00:49.374210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile26.95
Q1130.75
median260.5
Q3390.25
95-th percentile494.05
Maximum520
Range519
Interquartile range (IQR)259.5

Descriptive statistics

Standard deviation150.25534
Coefficient of variation (CV)0.57679592
Kurtosis-1.2
Mean260.5
Median Absolute Deviation (MAD)130
Skewness0
Sum135460
Variance22576.667
MonotonicityStrictly increasing
2024-03-18T14:00:49.731813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
359 1
 
0.2%
357 1
 
0.2%
356 1
 
0.2%
355 1
 
0.2%
354 1
 
0.2%
353 1
 
0.2%
352 1
 
0.2%
351 1
 
0.2%
350 1
 
0.2%
Other values (510) 510
98.1%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
520 1
0.2%
519 1
0.2%
518 1
0.2%
517 1
0.2%
516 1
0.2%
515 1
0.2%
514 1
0.2%
513 1
0.2%
512 1
0.2%
511 1
0.2%

업체명
Text

Distinct292
Distinct (%)56.2%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2024-03-18T14:00:49.906987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length7.2576923
Min length2

Characters and Unicode

Total characters3774
Distinct characters298
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique168 ?
Unique (%)32.3%

Sample

1st row(주)해성에프에스
2nd row수미트
3rd row주식회사 만샘골
4th row삼우종합식품
5th row삼우종합식품
ValueCountFrequency (%)
주식회사 54
 
8.7%
㈜삼양사 17
 
2.7%
농업회사법인 17
 
2.7%
㈜화미 16
 
2.6%
신승에프에스 7
 
1.1%
㈜사조대림 7
 
1.1%
신우식품(주 6
 
1.0%
㈜슈퍼내츄럴스 6
 
1.0%
주)네이처코퍼레이션 6
 
1.0%
케이터링서비스파트너(주 5
 
0.8%
Other values (298) 481
77.3%
2024-03-18T14:00:50.219304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 234
 
6.2%
) 181
 
4.8%
( 181
 
4.8%
식 155
 
4.1%
사 141
 
3.7%
드 124
 
3.3%
회 109
 
2.9%
푸 105
 
2.8%
102
 
2.7%
㈜ 95
 
2.5%
Other values (288) 2347
62.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3127
82.9%
Close Punctuation 181
 
4.8%
Open Punctuation 181
 
4.8%
Space Separator 102
 
2.7%
Other Symbol 95
 
2.5%
Uppercase Letter 57
 
1.5%
Other Punctuation 16
 
0.4%
Lowercase Letter 10
 
0.3%
Decimal Number 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 234
 
7.5%
식 155
 
5.0%
사 141
 
4.5%
드 124
 
4.0%
회 109
 
3.5%
푸 105
 
3.4%
품 82
 
2.6%
이 76
 
2.4%
에 71
 
2.3%
미 67
 
2.1%
Other values (267) 1963
62.8%
Uppercase Letter
ValueCountFrequency (%)
F 21
36.8%
C 8
 
14.0%
D 7
 
12.3%
O 6
 
10.5%
J 5
 
8.8%
B 5
 
8.8%
S 3
 
5.3%
G 1
 
1.8%
K 1
 
1.8%
Lowercase Letter
ValueCountFrequency (%)
h 3
30.0%
w 3
30.0%
o 3
30.0%
f 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
& 15
93.8%
? 1
 
6.2%
Decimal Number
ValueCountFrequency (%)
2 3
60.0%
1 2
40.0%
Close Punctuation
ValueCountFrequency (%)
) 181
100.0%
Open Punctuation
ValueCountFrequency (%)
( 181
100.0%
Space Separator
ValueCountFrequency (%)
102
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 95
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3222
85.4%
Common 485
 
12.9%
Latin 67
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 234
 
7.3%
식 155
 
4.8%
사 141
 
4.4%
드 124
 
3.8%
회 109
 
3.4%
푸 105
 
3.3%
㈜ 95
 
2.9%
품 82
 
2.5%
이 76
 
2.4%
에 71
 
2.2%
Other values (268) 2030
63.0%
Latin
ValueCountFrequency (%)
F 21
31.3%
C 8
 
11.9%
D 7
 
10.4%
O 6
 
9.0%
J 5
 
7.5%
B 5
 
7.5%
h 3
 
4.5%
S 3
 
4.5%
w 3
 
4.5%
o 3
 
4.5%
Other values (3) 3
 
4.5%
Common
ValueCountFrequency (%)
) 181
37.3%
( 181
37.3%
102
21.0%
& 15
 
3.1%
2 3
 
0.6%
1 2
 
0.4%
? 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3127
82.9%
ASCII 552
 
14.6%
None 95
 
2.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 234
 
7.5%
식 155
 
5.0%
사 141
 
4.5%
드 124
 
4.0%
회 109
 
3.5%
푸 105
 
3.4%
품 82
 
2.6%
이 76
 
2.4%
에 71
 
2.3%
미 67
 
2.1%
Other values (267) 1963
62.8%
ASCII
ValueCountFrequency (%)
) 181
32.8%
( 181
32.8%
102
18.5%
F 21
 
3.8%
& 15
 
2.7%
C 8
 
1.4%
D 7
 
1.3%
O 6
 
1.1%
J 5
 
0.9%
B 5
 
0.9%
Other values (10) 21
 
3.8%
None
ValueCountFrequency (%)
㈜ 95
100.0%

업종
Categorical

IMBALANCE 

Distinct11
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
식품제조가공업
358 
식육포장처리업
85 
축산물가공업-식육가공업
60 
축산물판매업-식용란수집판매업
 
6
축산물가공업-알가공업
 
4
Other values (6)
 
7

Length

Max length15
Median length7
Mean length7.7269231
Min length4

Unique

Unique5 ?
Unique (%)1.0%

Sample

1st row식품제조가공업
2nd row식육포장처리업
3rd row축산물가공업-식육가공업
4th row식품제조가공업
5th row식품제조가공업

Common Values

ValueCountFrequency (%)
식품제조가공업 358
68.8%
식육포장처리업 85
 
16.3%
축산물가공업-식육가공업 60
 
11.5%
축산물판매업-식용란수집판매업 6
 
1.2%
축산물가공업-알가공업 4
 
0.8%
건강기능식품전문제조업 2
 
0.4%
축산물가공업-유가공업 1
 
0.2%
식품소분업 1
 
0.2%
식용란선별포장업 1
 
0.2%
식품제조가공업(운반급식) 1
 
0.2%

Length

2024-03-18T14:00:50.356292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
식품제조가공업 358
68.8%
식육포장처리업 85
 
16.3%
축산물가공업-식육가공업 60
 
11.5%
축산물판매업-식용란수집판매업 6
 
1.2%
축산물가공업-알가공업 4
 
0.8%
건강기능식품전문제조업 2
 
0.4%
축산물가공업-유가공업 1
 
0.2%
식품소분업 1
 
0.2%
식용란선별포장업 1
 
0.2%
식품제조가공업(운반급식 1
 
0.2%

품목(유형)
Text

Distinct114
Distinct (%)21.9%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2024-03-18T14:00:50.566343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length31
Mean length7.4019231
Min length2

Characters and Unicode

Total characters3849
Distinct characters176
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)9.4%

Sample

1st row서류가공품
2nd row포장육
3rd row양념육류(양념육),식육추출가공품
4th row기타가공품
5th row조림류
ValueCountFrequency (%)
포장육 85
 
12.4%
기타수산물가공품 77
 
11.2%
중 75
 
10.9%
냉동어류 32
 
4.7%
빵류 31
 
4.5%
냉동연체류 29
 
4.2%
양념육류(양념육 27
 
3.9%
즉석조리식품 20
 
2.9%
과자 16
 
2.3%
기타가공품 11
 
1.6%
Other values (115) 282
41.2%
2024-03-18T14:00:50.896083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
육 243
 
6.3%
품 228
 
5.9%
류 207
 
5.4%
가 166
 
4.3%
165
 
4.3%
공 160
 
4.2%
양 130
 
3.4%
) 126
 
3.3%
( 126
 
3.3%
념 125
 
3.2%
Other values (166) 2173
56.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3393
88.2%
Space Separator 165
 
4.3%
Close Punctuation 126
 
3.3%
Open Punctuation 126
 
3.3%
Other Punctuation 39
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
육 243
 
7.2%
품 228
 
6.7%
류 207
 
6.1%
가 166
 
4.9%
공 160
 
4.7%
양 130
 
3.8%
념 125
 
3.7%
기 111
 
3.3%
타 105
 
3.1%
식 99
 
2.9%
Other values (162) 1819
53.6%
Space Separator
ValueCountFrequency (%)
165
100.0%
Close Punctuation
ValueCountFrequency (%)
) 126
100.0%
Open Punctuation
ValueCountFrequency (%)
( 126
100.0%
Other Punctuation
ValueCountFrequency (%)
, 39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3393
88.2%
Common 456
 
11.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
육 243
 
7.2%
품 228
 
6.7%
류 207
 
6.1%
가 166
 
4.9%
공 160
 
4.7%
양 130
 
3.8%
념 125
 
3.7%
기 111
 
3.3%
타 105
 
3.1%
식 99
 
2.9%
Other values (162) 1819
53.6%
Common
ValueCountFrequency (%)
165
36.2%
) 126
27.6%
( 126
27.6%
, 39
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3393
88.2%
ASCII 456
 
11.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
육 243
 
7.2%
품 228
 
6.7%
류 207
 
6.1%
가 166
 
4.9%
공 160
 
4.7%
양 130
 
3.8%
념 125
 
3.7%
기 111
 
3.3%
타 105
 
3.1%
식 99
 
2.9%
Other values (162) 1819
53.6%
ASCII
ValueCountFrequency (%)
165
36.2%
) 126
27.6%
( 126
27.6%
, 39
 
8.6%

주소
Text

Distinct309
Distinct (%)59.4%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2024-03-18T14:00:51.116350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length51
Mean length31.876923
Min length15

Characters and Unicode

Total characters16576
Distinct characters205
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique194 ?
Unique (%)37.3%

Sample

1st row인천광역시 서구 백범로630번길 22, 인천축산물백화점 303호 (가좌동)
2nd row인천광역시 서구 보석로18번길 11, 1층 101호 (청라동)
3rd row인천광역시 서구 중봉대로 234, 1층 (석남동)
4th row인천광역시 서구 보도진로73번길 9, 1,2층 (가좌동)
5th row인천광역시 서구 보도진로73번길 9, 1,2층 (가좌동)
ValueCountFrequency (%)
서구 519
 
16.3%
인천광역시 495
 
15.6%
가좌동 159
 
5.0%
금곡동 94
 
3.0%
1층 67
 
2.1%
2층 58
 
1.8%
소담2로 51
 
1.6%
오류동 48
 
1.5%
석남동 44
 
1.4%
보듬로 32
 
1.0%
Other values (475) 1613
50.7%
2024-03-18T14:00:51.506739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2660
 
16.0%
1 698
 
4.2%
동 623
 
3.8%
2 591
 
3.6%
) 539
 
3.3%
( 539
 
3.3%
인 531
 
3.2%
천 530
 
3.2%
서 526
 
3.2%
구 520
 
3.1%
Other values (195) 8819
53.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9011
54.4%
Decimal Number 2854
 
17.2%
Space Separator 2660
 
16.0%
Close Punctuation 539
 
3.3%
Open Punctuation 539
 
3.3%
Other Punctuation 504
 
3.0%
Uppercase Letter 226
 
1.4%
Dash Punctuation 134
 
0.8%
Lowercase Letter 84
 
0.5%
Math Symbol 23
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 623
 
6.9%
인 531
 
5.9%
천 530
 
5.9%
서 526
 
5.8%
구 520
 
5.8%
로 519
 
5.8%
광 502
 
5.6%
시 496
 
5.5%
역 495
 
5.5%
층 355
 
3.9%
Other values (161) 3914
43.4%
Uppercase Letter
ValueCountFrequency (%)
O 50
22.1%
B 31
13.7%
A 28
12.4%
F 26
11.5%
I 26
11.5%
D 25
11.1%
P 25
11.1%
C 7
 
3.1%
J 3
 
1.3%
G 3
 
1.3%
Decimal Number
ValueCountFrequency (%)
1 698
24.5%
2 591
20.7%
3 348
12.2%
0 217
 
7.6%
6 206
 
7.2%
4 203
 
7.1%
5 178
 
6.2%
8 173
 
6.1%
7 120
 
4.2%
9 120
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
r 26
31.0%
a 26
31.0%
k 26
31.0%
p 3
 
3.6%
o 2
 
2.4%
d 1
 
1.2%
Space Separator
ValueCountFrequency (%)
2660
100.0%
Close Punctuation
ValueCountFrequency (%)
) 539
100.0%
Open Punctuation
ValueCountFrequency (%)
( 539
100.0%
Other Punctuation
ValueCountFrequency (%)
, 504
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 134
100.0%
Math Symbol
ValueCountFrequency (%)
~ 23
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9013
54.4%
Common 7253
43.8%
Latin 310
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 623
 
6.9%
인 531
 
5.9%
천 530
 
5.9%
서 526
 
5.8%
구 520
 
5.8%
로 519
 
5.8%
광 502
 
5.6%
시 496
 
5.5%
역 495
 
5.5%
층 355
 
3.9%
Other values (162) 3916
43.4%
Latin
ValueCountFrequency (%)
O 50
16.1%
B 31
10.0%
A 28
9.0%
r 26
8.4%
a 26
8.4%
F 26
8.4%
k 26
8.4%
I 26
8.4%
D 25
8.1%
P 25
8.1%
Other values (7) 21
6.8%
Common
ValueCountFrequency (%)
2660
36.7%
1 698
 
9.6%
2 591
 
8.1%
) 539
 
7.4%
( 539
 
7.4%
, 504
 
6.9%
3 348
 
4.8%
0 217
 
3.0%
6 206
 
2.8%
4 203
 
2.8%
Other values (6) 748
 
10.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9010
54.4%
ASCII 7563
45.6%
None 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2660
35.2%
1 698
 
9.2%
2 591
 
7.8%
) 539
 
7.1%
( 539
 
7.1%
, 504
 
6.7%
3 348
 
4.6%
0 217
 
2.9%
6 206
 
2.7%
4 203
 
2.7%
Other values (23) 1058
 
14.0%
Hangul
ValueCountFrequency (%)
동 623
 
6.9%
인 531
 
5.9%
천 530
 
5.9%
서 526
 
5.8%
구 520
 
5.8%
로 519
 
5.8%
광 502
 
5.6%
시 496
 
5.5%
역 495
 
5.5%
층 355
 
3.9%
Other values (160) 3913
43.4%
None
ValueCountFrequency (%)
㈜ 2
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

인증번호
Text

Distinct511
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2024-03-18T14:00:51.731963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length10.992308
Min length8

Characters and Unicode

Total characters5716
Distinct characters13
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

Unique502 ?
Unique (%)96.5%

Sample

1st row2023-3-0475
2nd row2023-3-0455
3rd row2023-3-0451
4th row2023-3-0429
5th row2023-3-0428
ValueCountFrequency (%)
2016-3-8042 2
 
0.4%
2016-3-8045 2
 
0.4%
2022-3-0159 2
 
0.4%
2016-3-8043 2
 
0.4%
2016-3-8454 2
 
0.4%
2016-3-8452 2
 
0.4%
2018-3-9158 2
 
0.4%
2016-3-8453 2
 
0.4%
2021-3-0469 2
 
0.4%
2019-3-9013 1
 
0.2%
Other values (501) 501
96.3%
2024-03-18T14:00:52.053698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1155
20.2%
0 1100
19.2%
- 1039
18.2%
3 719
12.6%
1 560
9.8%
8 246
 
4.3%
9 215
 
3.8%
4 200
 
3.5%
5 177
 
3.1%
6 172
 
3.0%
Other values (3) 133
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4675
81.8%
Dash Punctuation 1039
 
18.2%
Other Letter 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1155
24.7%
0 1100
23.5%
3 719
15.4%
1 560
12.0%
8 246
 
5.3%
9 215
 
4.6%
4 200
 
4.3%
5 177
 
3.8%
6 172
 
3.7%
7 131
 
2.8%
Other Letter
ValueCountFrequency (%)
배 1
50.0%
합 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 1039
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5714
> 99.9%
Hangul 2
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1155
20.2%
0 1100
19.3%
- 1039
18.2%
3 719
12.6%
1 560
9.8%
8 246
 
4.3%
9 215
 
3.8%
4 200
 
3.5%
5 177
 
3.1%
6 172
 
3.0%
Hangul
ValueCountFrequency (%)
배 1
50.0%
합 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5714
> 99.9%
Hangul 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1155
20.2%
0 1100
19.3%
- 1039
18.2%
3 719
12.6%
1 560
9.8%
8 246
 
4.3%
9 215
 
3.8%
4 200
 
3.5%
5 177
 
3.1%
6 172
 
3.0%
Hangul
ValueCountFrequency (%)
배 1
50.0%
합 1
50.0%

최초인증일
Date

Distinct314
Distinct (%)60.4%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
Minimum2005-09-07 00:00:00
Maximum2024-03-29 00:00:00
2024-03-18T14:00:52.168373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:00:52.287510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

유효기간
Text

Distinct281
Distinct (%)54.0%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2024-03-18T14:00:52.499704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length21
Mean length21
Min length21

Characters and Unicode

Total characters10920
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique158 ?
Unique (%)30.4%

Sample

1st row2023-06-21~2026-06-20
2nd row2023-06-12~2026-06-11
3rd row2023-06-12~2026-06-11
4th row2023-06-01~2026-05-31
5th row2023-06-01~2026-05-31
ValueCountFrequency (%)
2021-01-31~2024-01-30 16
 
3.1%
2022-02-17~2025-02-16 10
 
1.9%
2022-02-14~2025-02-13 8
 
1.5%
2023-05-26~2026-05-25 7
 
1.3%
2023-06-02~2026-06-01 7
 
1.3%
2021-11-30~2024-11-29 7
 
1.3%
2022-02-24~2025-02-23 6
 
1.2%
2023-06-19~2026-06-18 6
 
1.2%
2023-05-08~2026-05-07 6
 
1.2%
2022-06-30~2025-06-29 6
 
1.2%
Other values (271) 441
84.8%
2024-03-18T14:00:52.817238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 2897
26.5%
0 2352
21.5%
- 2080
19.0%
1 1048
 
9.6%
~ 520
 
4.8%
3 452
 
4.1%
5 387
 
3.5%
6 350
 
3.2%
4 343
 
3.1%
8 175
 
1.6%
Other values (2) 316
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8320
76.2%
Dash Punctuation 2080
 
19.0%
Math Symbol 520
 
4.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 2897
34.8%
0 2352
28.3%
1 1048
 
12.6%
3 452
 
5.4%
5 387
 
4.7%
6 350
 
4.2%
4 343
 
4.1%
8 175
 
2.1%
9 160
 
1.9%
7 156
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 2080
100.0%
Math Symbol
ValueCountFrequency (%)
~ 520
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10920
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 2897
26.5%
0 2352
21.5%
- 2080
19.0%
1 1048
 
9.6%
~ 520
 
4.8%
3 452
 
4.1%
5 387
 
3.5%
6 350
 
3.2%
4 343
 
3.1%
8 175
 
1.6%
Other values (2) 316
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10920
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 2897
26.5%
0 2352
21.5%
- 2080
19.0%
1 1048
 
9.6%
~ 520
 
4.8%
3 452
 
4.1%
5 387
 
3.5%
6 350
 
3.2%
4 343
 
3.1%
8 175
 
1.6%
Other values (2) 316
 
2.9%

Interactions

2024-03-18T14:00:49.023742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T14:00:52.894754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종
연번1.0000.442
업종0.4421.000
2024-03-18T14:00:52.956393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종
연번1.0000.205
업종0.2051.000

Missing values

2024-03-18T14:00:49.129853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T14:00:49.239472image/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

연번업체명업종품목(유형)주소인증번호최초인증일유효기간
01(주)해성에프에스식품제조가공업서류가공품인천광역시 서구 백범로630번길 22, 인천축산물백화점 303호 (가좌동)2023-3-04752023-06-212023-06-21~2026-06-20
12수미트식육포장처리업포장육인천광역시 서구 보석로18번길 11, 1층 101호 (청라동)2023-3-04552023-06-122023-06-12~2026-06-11
23주식회사 만샘골축산물가공업-식육가공업양념육류(양념육),식육추출가공품인천광역시 서구 중봉대로 234, 1층 (석남동)2023-3-04512023-06-122023-06-12~2026-06-11
34삼우종합식품식품제조가공업기타가공품인천광역시 서구 보도진로73번길 9, 1,2층 (가좌동)2023-3-04292023-06-012023-06-01~2026-05-31
45삼우종합식품식품제조가공업조림류인천광역시 서구 보도진로73번길 9, 1,2층 (가좌동)2023-3-04282023-06-012023-06-01~2026-05-31
56(주)해뜨는공장축산물가공업-식육가공업양념육류(양념육)인천광역시 서구 소담2로 34, 2층(금곡동)2023-3-04142023-05-252023-05-25~2026-05-24
67주식회사 광평푸드축산물가공업-식육가공업양념육류(양념육),식육추출가공품인천광역시 서구 소담2로 32-2, 2층 일부 (금곡동)2023-3-04132023-05-242023-05-24~2026-05-23
78주식회사 광평푸드식품제조가공업즉석조리식품인천광역시 서구 소담2로 32-2, 2층 일부 (금곡동)2023-3-04122023-05-242023-05-24~2026-05-23
89(주)남도애꽃식품제조가공업기타가공품인천광역시 서구 검단로93번길 27 (오류동, 검단일반산업단지)2023-3-03992023-05-172023-05-17~2026-05-16
910(주)산양축산식품제조가공업즉석조리식품인천광역시 서구 가좌로96번길 36, 지하1층 일부호 (가좌동)2023-3-03832023-05-122023-05-12~2026-05-11
연번업체명업종품목(유형)주소인증번호최초인증일유효기간
510511크레팜주식회사축산물가공업-식육가공업햄류(햄),양념육류(양념육),양념육류(분쇄가공육제품)인천광역시 서구소담2로 22(금곡동)2014-0-02592014-06-102023-06-10~2026-06-09
511512(주)아일푸드식육포장처리업포장육인천광역시 서구 백범로630번길 22, 인천축산물백화점 219-222호, 226-232호, 247-249호 (가좌동)2014-0-00282014-01-142023-01-14~2026-01-13
512513주식회사 육공사식육포장처리업포장육인천광역시 서구 가현산로 65 (마전동)2014-0-00272014-01-142023-01-14~2026-01-13
513514(주)대경축산식육포장처리업포장육인천광역시 서구 백범로604번길 67, 1,4,5층 (가좌동)2013-0-06562013-12-032022-12-03~2025-12-02
514515(주)하림(인천축산물센터)식육포장처리업포장육인천광역시 서구 건지로97번길 36 (석남동)2013-0-05232013-09-052022-09-05~2025-09-04
515516크레팜 주식회사식육포장처리업포장육인천광역시 서구 소담2로 22 (금곡동)2013-0-02292013-04-012022-04-01~2025-03-31
516517(주)미트프라자식육포장처리업포장육인천광역시 서구 백범로810번길 22 (가좌동) 1,2,3층2012-0-03662012-06-302021-06-30~2024-06-29
517518(주)금천축산유통식육포장처리업포장육인천광역시 서구 가좌로96번길 11(가좌동)2011-0-01342011-06-132023-06-13~2026-06-12
518519삼성비앤피주식회사식육포장처리업포장육인천광역시 서구 가좌로96번길 31 (가좌동)2005-3332005-09-072022-09-07~2025-09-06
519520중앙축산사료(주)배합사료양축용배합사료(돼지),양축용배합사료(닭),양축용배합사료(메추리),양축용배합사료(배합사료원료),양축용배합사료(특수배합사료)인천 서구 가좌동 469-52008-배합-732008-08-292008-08-29~2500-12-31