Overview

Dataset statistics

Number of variables27
Number of observations154
Missing cells0
Missing cells (%)0.0%
Duplicate rows77
Duplicate rows (%)50.0%
Total size in memory34.3 KiB
Average record size in memory227.9 B

Variable types

Text3
Categorical16
Numeric8

Dataset

Description탁주, 약주, 청주, 과실주 등의 술 품질인증 관리 정보(인증번호, 인증기관, 인증업체, 품목명, 인증일자, 인증시작일, 인증종료일 등)
Author국립농산물품질관리원
URLhttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20220204000000001687

Alerts

SN has constant value ""Constant
CRTFC_INSTT_CD has constant value ""Constant
CRTFC_INSTT_NM has constant value ""Constant
RPRSNTV_NM has constant value ""Constant
HEDOFC_ADDR1 has constant value ""Constant
HEDOFC_ADDR2 has constant value ""Constant
HEDOFC_TELNO1 has constant value ""Constant
HEDOFC_TELNO2 has constant value ""Constant
HEDOFC_TELNO3 has constant value ""Constant
FCTRY_ADDR1 has constant value ""Constant
FCTRY_ADDR2 has constant value ""Constant
CRTFC_STTUS has constant value ""Constant
Dataset has 77 (50.0%) duplicate rowsDuplicates

Reproduction

Analysis started2024-03-23 07:54:47.060170
Analysis finished2024-03-23 07:54:47.712137
Duration0.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

REQST_NO
Text

Distinct77
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-03-23T07:54:47.951937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters2002
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowLMS0000000504
2nd rowLMS0000000504
3rd rowLMS0000000505
4th rowLMS0000000505
5th rowLMS0000000506
ValueCountFrequency (%)
lms0000000504 2
 
1.3%
lms0000000372 2
 
1.3%
lms0000000430 2
 
1.3%
lms0000000429 2
 
1.3%
lms0000000428 2
 
1.3%
lms0000000427 2
 
1.3%
lms0000000426 2
 
1.3%
lms0000000425 2
 
1.3%
lms0000000424 2
 
1.3%
lms0000000421 2
 
1.3%
Other values (67) 134
87.0%
2024-03-23T07:54:48.761587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1112
55.5%
L 154
 
7.7%
M 154
 
7.7%
S 154
 
7.7%
3 86
 
4.3%
5 78
 
3.9%
4 72
 
3.6%
2 58
 
2.9%
7 34
 
1.7%
6 30
 
1.5%
Other values (3) 70
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1540
76.9%
Uppercase Letter 462
 
23.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1112
72.2%
3 86
 
5.6%
5 78
 
5.1%
4 72
 
4.7%
2 58
 
3.8%
7 34
 
2.2%
6 30
 
1.9%
9 30
 
1.9%
1 22
 
1.4%
8 18
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
L 154
33.3%
M 154
33.3%
S 154
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common 1540
76.9%
Latin 462
 
23.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1112
72.2%
3 86
 
5.6%
5 78
 
5.1%
4 72
 
4.7%
2 58
 
3.8%
7 34
 
2.2%
6 30
 
1.9%
9 30
 
1.9%
1 22
 
1.4%
8 18
 
1.2%
Latin
ValueCountFrequency (%)
L 154
33.3%
M 154
33.3%
S 154
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2002
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1112
55.5%
L 154
 
7.7%
M 154
 
7.7%
S 154
 
7.7%
3 86
 
4.3%
5 78
 
3.9%
4 72
 
3.6%
2 58
 
2.9%
7 34
 
1.7%
6 30
 
1.5%
Other values (3) 70
 
3.5%

SN
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
1
154 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 154
100.0%

Length

2024-03-23T07:54:49.168108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:54:49.619781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 154
100.0%

CRTFC_NO
Text

Distinct77
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-03-23T07:54:50.075153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters1540
Distinct characters15
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

Unique0 ?
Unique (%)0.0%

Sample

1st row국가지정-가-232
2nd row국가지정-가-232
3rd row국가지정-가-233
4th row국가지정-가-233
5th row국가지정-가-234
ValueCountFrequency (%)
국가지정-가-232 2
 
1.3%
국가지정-가-193 2
 
1.3%
국가지정-가-209 2
 
1.3%
국가지정-가-218 2
 
1.3%
국가지정-가-208 2
 
1.3%
국가지정-가-207 2
 
1.3%
국가지정-가-206 2
 
1.3%
국가지정-가-219 2
 
1.3%
국가지정-가-205 2
 
1.3%
국가지정-가-202 2
 
1.3%
Other values (67) 134
87.0%
2024-03-23T07:54:51.010454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
가 308
20.0%
- 308
20.0%
국 154
10.0%
지 154
10.0%
정 154
10.0%
2 132
8.6%
1 114
 
7.4%
3 38
 
2.5%
9 36
 
2.3%
0 36
 
2.3%
Other values (5) 106
 
6.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 770
50.0%
Decimal Number 462
30.0%
Dash Punctuation 308
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 132
28.6%
1 114
24.7%
3 38
 
8.2%
9 36
 
7.8%
0 36
 
7.8%
8 26
 
5.6%
7 22
 
4.8%
4 20
 
4.3%
6 20
 
4.3%
5 18
 
3.9%
Other Letter
ValueCountFrequency (%)
가 308
40.0%
국 154
20.0%
지 154
20.0%
정 154
20.0%
Dash Punctuation
ValueCountFrequency (%)
- 308
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 770
50.0%
Common 770
50.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 308
40.0%
2 132
17.1%
1 114
 
14.8%
3 38
 
4.9%
9 36
 
4.7%
0 36
 
4.7%
8 26
 
3.4%
7 22
 
2.9%
4 20
 
2.6%
6 20
 
2.6%
Hangul
ValueCountFrequency (%)
가 308
40.0%
국 154
20.0%
지 154
20.0%
정 154
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 770
50.0%
ASCII 770
50.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
가 308
40.0%
국 154
20.0%
지 154
20.0%
정 154
20.0%
ASCII
ValueCountFrequency (%)
- 308
40.0%
2 132
17.1%
1 114
 
14.8%
3 38
 
4.9%
9 36
 
4.7%
0 36
 
4.7%
8 26
 
3.4%
7 22
 
2.9%
4 20
 
2.6%
6 20
 
2.6%

RCEPT_NO
Real number (ℝ)

Distinct77
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean394.75325
Minimum129
Maximum532
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-03-23T07:54:51.374499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129
5-th percentile167.65
Q1353
median424
Q3499
95-th percentile528.35
Maximum532
Range403
Interquartile range (IQR)146

Descriptive statistics

Standard deviation116.33355
Coefficient of variation (CV)0.29469941
Kurtosis-0.1096362
Mean394.75325
Median Absolute Deviation (MAD)73
Skewness-0.91897789
Sum60792
Variance13533.494
MonotonicityNot monotonic
2024-03-23T07:54:51.691449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
506 2
 
1.3%
421 2
 
1.3%
428 2
 
1.3%
427 2
 
1.3%
426 2
 
1.3%
425 2
 
1.3%
424 2
 
1.3%
423 2
 
1.3%
422 2
 
1.3%
410 2
 
1.3%
Other values (67) 134
87.0%
ValueCountFrequency (%)
129 2
1.3%
134 2
1.3%
163 2
1.3%
167 2
1.3%
168 2
1.3%
169 2
1.3%
170 2
1.3%
172 2
1.3%
173 2
1.3%
174 2
1.3%
ValueCountFrequency (%)
532 2
1.3%
531 2
1.3%
530 2
1.3%
529 2
1.3%
528 2
1.3%
527 2
1.3%
526 2
1.3%
512 2
1.3%
511 2
1.3%
510 2
1.3%

CRTFC_INSTT_CD
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
C000949816
154 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowC000949816
2nd rowC000949816
3rd rowC000949816
4th rowC000949816
5th rowC000949816

Common Values

ValueCountFrequency (%)
C000949816 154
100.0%

Length

2024-03-23T07:54:52.105251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:54:52.449598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
c000949816 154
100.0%

CRTFC_INSTT_NM
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
한국식품연구원
154 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
한국식품연구원 154
100.0%

Length

2024-03-23T07:54:52.895221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:54:53.420564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국식품연구원 154
100.0%

ENTRPS_CD
Categorical

Distinct43
Distinct (%)27.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
C000995323
14 
C001018776
 
10
C001018787
 
8
C002003310
 
6
C000717693
 
6
Other values (38)
110 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowC002003310
2nd rowC002003310
3rd rowC002003310
4th rowC002003310
5th rowC002003310

Common Values

ValueCountFrequency (%)
C000995323 14
 
9.1%
C001018776 10
 
6.5%
C001018787 8
 
5.2%
C002003310 6
 
3.9%
C000717693 6
 
3.9%
C002000658 6
 
3.9%
C001025265 6
 
3.9%
C001027582 4
 
2.6%
C003001161 4
 
2.6%
C003001118 4
 
2.6%
Other values (33) 86
55.8%

Length

2024-03-23T07:54:53.926296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
c000995323 14
 
9.1%
c001018776 10
 
6.5%
c001018787 8
 
5.2%
c002003310 6
 
3.9%
c000717693 6
 
3.9%
c002000658 6
 
3.9%
c001025265 6
 
3.9%
c001167371 4
 
2.6%
c001023699 4
 
2.6%
c000995337 4
 
2.6%
Other values (33) 86
55.8%

ENTRPS_NM
Categorical

Distinct43
Distinct (%)27.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
(주)국순당(횡성공장)
14 
농업회사법인 (주)제이엘
 
10
농업회사법인 국순당여주명주 주식회사
 
8
농업회사법인(주)시트러스
 
6
그린영농조합법인
 
6
Other values (38)
110 

Length

Max length19
Median length14
Mean length10.818182
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row농업회사법인(주)시트러스
2nd row농업회사법인(주)시트러스
3rd row농업회사법인(주)시트러스
4th row농업회사법인(주)시트러스
5th row농업회사법인(주)시트러스

Common Values

ValueCountFrequency (%)
(주)국순당(횡성공장) 14
 
9.1%
농업회사법인 (주)제이엘 10
 
6.5%
농업회사법인 국순당여주명주 주식회사 8
 
5.2%
농업회사법인(주)시트러스 6
 
3.9%
그린영농조합법인 6
 
3.9%
농업회사법인(주)밀과노닐다 6
 
3.9%
병영양조장 6
 
3.9%
농업회사법인 송도향(유) 4
 
2.6%
농업회사법인 다도참주가(유) 4
 
2.6%
인천탁주제조제1공장 4
 
2.6%
Other values (33) 86
55.8%

Length

2024-03-23T07:54:54.488660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
농업회사법인 34
 
15.3%
주)국순당(횡성공장 14
 
6.3%
주식회사 10
 
4.5%
주)제이엘 10
 
4.5%
영농조합법인 8
 
3.6%
국순당여주명주 8
 
3.6%
농업회사법인(주)시트러스 6
 
2.7%
그린영농조합법인 6
 
2.7%
농업회사법인(주)밀과노닐다 6
 
2.7%
병영양조장 6
 
2.7%
Other values (41) 114
51.4%

RPRSNTV_NM
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
*개인정보보호*
154 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row*개인정보보호*
2nd row*개인정보보호*
3rd row*개인정보보호*
4th row*개인정보보호*
5th row*개인정보보호*

Common Values

ValueCountFrequency (%)
*개인정보보호* 154
100.0%

Length

2024-03-23T07:54:55.122510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:54:55.570039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인정보보호 154
100.0%

HEDOFC_LEGALDONG_CD
Real number (ℝ)

Distinct42
Distinct (%)27.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2778067 × 109
Minimum1.1200115 × 109
Maximum5.013032 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-03-23T07:54:55.917951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1200115 × 109
5-th percentile2.8224156 × 109
Q14.167037 × 109
median4.311425 × 109
Q34.681038 × 109
95-th percentile5.0117303 × 109
Maximum5.013032 × 109
Range3.8930205 × 109
Interquartile range (IQR)5.14001 × 108

Descriptive statistics

Standard deviation7.0870194 × 108
Coefficient of variation (CV)0.16566946
Kurtosis8.9582897
Mean4.2778067 × 109
Median Absolute Deviation (MAD)1.8411393 × 108
Skewness-2.7302292
Sum6.5878223 × 1011
Variance5.0225844 × 1017
MonotonicityNot monotonic
2024-03-23T07:54:56.453647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
4273033021 14
 
9.1%
4728025027 10
 
6.5%
4167037028 8
 
5.2%
4717042032 6
 
3.9%
4681038026 6
 
3.9%
4127311100 6
 
3.9%
5013025329 6
 
3.9%
4617042026 4
 
2.6%
4183032022 4
 
2.6%
1120011500 4
 
2.6%
Other values (32) 86
55.8%
ValueCountFrequency (%)
1120011500 4
2.6%
2820011100 4
2.6%
2823710400 4
2.6%
2920011200 2
 
1.3%
4127311100 6
3.9%
4137010100 2
 
1.3%
4146136021 4
2.6%
4163033024 2
 
1.3%
4165037023 2
 
1.3%
4165039023 4
2.6%
ValueCountFrequency (%)
5013032023 2
 
1.3%
5013025329 6
3.9%
5011033021 4
 
2.6%
5011025331 2
 
1.3%
4777031037 2
 
1.3%
4729025322 2
 
1.3%
4728025027 10
6.5%
4717042032 6
3.9%
4715045028 4
 
2.6%
4681038026 6
3.9%

HEDOFC_ZIP
Real number (ℝ)

Distinct42
Distinct (%)27.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33083.701
Minimum4776
Maximum63624
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-03-23T07:54:57.185752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4776
5-th percentile11113.4
Q118136
median28755
Q339696
95-th percentile63450.05
Maximum63624
Range58848
Interquartile range (IQR)21560

Descriptive statistics

Standard deviation17853.595
Coefficient of variation (CV)0.53964926
Kurtosis-1.0027614
Mean33083.701
Median Absolute Deviation (MAD)10941
Skewness0.47603084
Sum5094890
Variance3.1875085 × 108
MonotonicityNot monotonic
2024-03-23T07:54:57.672414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
25266 14
 
9.1%
36919 10
 
6.5%
12617 8
 
5.2%
36605 6
 
3.9%
59214 6
 
3.9%
15640 6
 
3.9%
63608 6
 
3.9%
58319 4
 
2.6%
12574 4
 
2.6%
4776 4
 
2.6%
Other values (32) 86
55.8%
ValueCountFrequency (%)
4776 4
2.6%
11103 4
2.6%
11119 2
 
1.3%
11424 2
 
1.3%
12439 2
 
1.3%
12574 4
2.6%
12617 8
5.2%
12660 2
 
1.3%
15640 6
3.9%
17158 4
2.6%
ValueCountFrequency (%)
63624 2
 
1.3%
63608 6
3.9%
63365 4
2.6%
63036 2
 
1.3%
62241 2
 
1.3%
59338 4
2.6%
59214 6
3.9%
58319 4
2.6%
57761 2
 
1.3%
57332 4
2.6%

HEDOFC_ADDR1
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
*개인정보보호*
154 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row*개인정보보호*
2nd row*개인정보보호*
3rd row*개인정보보호*
4th row*개인정보보호*
5th row*개인정보보호*

Common Values

ValueCountFrequency (%)
*개인정보보호* 154
100.0%

Length

2024-03-23T07:54:58.265728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:54:58.682323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인정보보호 154
100.0%

HEDOFC_ADDR2
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
*개인정보보호*
154 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row*개인정보보호*
2nd row*개인정보보호*
3rd row*개인정보보호*
4th row*개인정보보호*
5th row*개인정보보호*

Common Values

ValueCountFrequency (%)
*개인정보보호* 154
100.0%

Length

2024-03-23T07:54:59.098937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:54:59.496535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인정보보호 154
100.0%

HEDOFC_TELNO1
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
*개인정보보호*
154 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row*개인정보보호*
2nd row*개인정보보호*
3rd row*개인정보보호*
4th row*개인정보보호*
5th row*개인정보보호*

Common Values

ValueCountFrequency (%)
*개인정보보호* 154
100.0%

Length

2024-03-23T07:54:59.906439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:55:00.156311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인정보보호 154
100.0%

HEDOFC_TELNO2
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
*개인정보보호*
154 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row*개인정보보호*
2nd row*개인정보보호*
3rd row*개인정보보호*
4th row*개인정보보호*
5th row*개인정보보호*

Common Values

ValueCountFrequency (%)
*개인정보보호* 154
100.0%

Length

2024-03-23T07:55:00.335569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:55:00.606156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인정보보호 154
100.0%

HEDOFC_TELNO3
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
*개인정보보호*
154 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row*개인정보보호*
2nd row*개인정보보호*
3rd row*개인정보보호*
4th row*개인정보보호*
5th row*개인정보보호*

Common Values

ValueCountFrequency (%)
*개인정보보호* 154
100.0%

Length

2024-03-23T07:55:00.931310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:55:01.136694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인정보보호 154
100.0%

FCTRY_LEGALDONG_CD
Real number (ℝ)

Distinct42
Distinct (%)27.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2778067 × 109
Minimum1.1200115 × 109
Maximum5.013032 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-03-23T07:55:01.360427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1200115 × 109
5-th percentile2.8224156 × 109
Q14.167037 × 109
median4.311425 × 109
Q34.681038 × 109
95-th percentile5.0117303 × 109
Maximum5.013032 × 109
Range3.8930205 × 109
Interquartile range (IQR)5.14001 × 108

Descriptive statistics

Standard deviation7.0870194 × 108
Coefficient of variation (CV)0.16566946
Kurtosis8.9582897
Mean4.2778067 × 109
Median Absolute Deviation (MAD)1.8411393 × 108
Skewness-2.7302292
Sum6.5878223 × 1011
Variance5.0225844 × 1017
MonotonicityNot monotonic
2024-03-23T07:55:01.814999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
4273033021 14
 
9.1%
4728025027 10
 
6.5%
4167037028 8
 
5.2%
4717042032 6
 
3.9%
4681038026 6
 
3.9%
4127311100 6
 
3.9%
5013025329 6
 
3.9%
4617042026 4
 
2.6%
4183032022 4
 
2.6%
1120011500 4
 
2.6%
Other values (32) 86
55.8%
ValueCountFrequency (%)
1120011500 4
2.6%
2820011100 4
2.6%
2823710400 4
2.6%
2920011200 2
 
1.3%
4127311100 6
3.9%
4137010100 2
 
1.3%
4146136021 4
2.6%
4163033024 2
 
1.3%
4165037023 2
 
1.3%
4165039023 4
2.6%
ValueCountFrequency (%)
5013032023 2
 
1.3%
5013025329 6
3.9%
5011033021 4
 
2.6%
5011025331 2
 
1.3%
4777031037 2
 
1.3%
4729025322 2
 
1.3%
4728025027 10
6.5%
4717042032 6
3.9%
4715045028 4
 
2.6%
4681038026 6
3.9%

FCTRY_ZIP
Real number (ℝ)

Distinct42
Distinct (%)27.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33083.701
Minimum4776
Maximum63624
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-03-23T07:55:02.213601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4776
5-th percentile11113.4
Q118136
median28755
Q339696
95-th percentile63450.05
Maximum63624
Range58848
Interquartile range (IQR)21560

Descriptive statistics

Standard deviation17853.595
Coefficient of variation (CV)0.53964926
Kurtosis-1.0027614
Mean33083.701
Median Absolute Deviation (MAD)10941
Skewness0.47603084
Sum5094890
Variance3.1875085 × 108
MonotonicityNot monotonic
2024-03-23T07:55:02.717659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
25266 14
 
9.1%
36919 10
 
6.5%
12617 8
 
5.2%
36605 6
 
3.9%
59214 6
 
3.9%
15640 6
 
3.9%
63608 6
 
3.9%
58319 4
 
2.6%
12574 4
 
2.6%
4776 4
 
2.6%
Other values (32) 86
55.8%
ValueCountFrequency (%)
4776 4
2.6%
11103 4
2.6%
11119 2
 
1.3%
11424 2
 
1.3%
12439 2
 
1.3%
12574 4
2.6%
12617 8
5.2%
12660 2
 
1.3%
15640 6
3.9%
17158 4
2.6%
ValueCountFrequency (%)
63624 2
 
1.3%
63608 6
3.9%
63365 4
2.6%
63036 2
 
1.3%
62241 2
 
1.3%
59338 4
2.6%
59214 6
3.9%
58319 4
2.6%
57761 2
 
1.3%
57332 4
2.6%

FCTRY_ADDR1
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
*개인정보보호*
154 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row*개인정보보호*
2nd row*개인정보보호*
3rd row*개인정보보호*
4th row*개인정보보호*
5th row*개인정보보호*

Common Values

ValueCountFrequency (%)
*개인정보보호* 154
100.0%

Length

2024-03-23T07:55:03.029808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:55:03.310372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인정보보호 154
100.0%

FCTRY_ADDR2
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
*개인정보보호*
154 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row*개인정보보호*
2nd row*개인정보보호*
3rd row*개인정보보호*
4th row*개인정보보호*
5th row*개인정보보호*

Common Values

ValueCountFrequency (%)
*개인정보보호* 154
100.0%

Length

2024-03-23T07:55:03.652076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:55:04.049922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인정보보호 154
100.0%

PRDLST_NM
Categorical

Distinct7
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
탁주
56 
약주
26 
과실주
24 
증류식소주
24 
일반증류주
14 
Other values (2)
10 

Length

Max length5
Median length2
Mean length3.012987
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반증류주
2nd row일반증류주
3rd row일반증류주
4th row일반증류주
5th row과실주

Common Values

ValueCountFrequency (%)
탁주 56
36.4%
약주 26
16.9%
과실주 24
15.6%
증류식소주 24
15.6%
일반증류주 14
 
9.1%
기타주류 8
 
5.2%
리큐르 2
 
1.3%

Length

2024-03-23T07:55:04.378695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:55:04.719014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
탁주 56
36.4%
약주 26
16.9%
과실주 24
15.6%
증류식소주 24
15.6%
일반증류주 14
 
9.1%
기타주류 8
 
5.2%
리큐르 2
 
1.3%

CRTFC_TY_CD
Categorical

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
20
128 
10
26 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20
2nd row20
3rd row20
4th row20
5th row20

Common Values

ValueCountFrequency (%)
20 128
83.1%
10 26
 
16.9%

Length

2024-03-23T07:55:05.123623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:55:05.435805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20 128
83.1%
10 26
 
16.9%

CRTFC_DE
Real number (ℝ)

Distinct19
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20193929
Minimum20151005
Maximum20211206
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-03-23T07:55:05.747936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20151005
5-th percentile20160628
Q120181221
median20200811
Q320210714
95-th percentile20211205
Maximum20211206
Range60201
Interquartile range (IQR)29493

Descriptive statistics

Standard deviation17801.126
Coefficient of variation (CV)0.00088150881
Kurtosis-0.23120926
Mean20193929
Median Absolute Deviation (MAD)9903
Skewness-0.93571018
Sum3.109865 × 109
Variance3.1688009 × 108
MonotonicityNot monotonic
2024-03-23T07:55:06.129076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
20210714 24
15.6%
20191005 24
15.6%
20200814 18
11.7%
20210927 14
9.1%
20161226 10
6.5%
20181221 10
6.5%
20200811 10
6.5%
20211206 8
 
5.2%
20200914 6
 
3.9%
20160628 6
 
3.9%
Other values (9) 24
15.6%
ValueCountFrequency (%)
20151005 2
 
1.3%
20151223 2
 
1.3%
20160628 6
 
3.9%
20161005 4
 
2.6%
20161226 10
6.5%
20180822 4
 
2.6%
20181129 2
 
1.3%
20181221 10
6.5%
20190628 2
 
1.3%
20191005 24
15.6%
ValueCountFrequency (%)
20211206 8
 
5.2%
20211205 2
 
1.3%
20211126 4
 
2.6%
20210927 14
9.1%
20210714 24
15.6%
20200914 6
 
3.9%
20200814 18
11.7%
20200811 10
6.5%
20191226 2
 
1.3%
20191005 24
15.6%

CRTFC_START_DE
Real number (ℝ)

Distinct14
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20202503
Minimum20190628
Maximum20211221
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-03-23T07:55:06.500839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20190628
5-th percentile20190873
Q120191226
median20200914
Q320210927
95-th percentile20211221
Maximum20211221
Range20593
Interquartile range (IQR)19701

Descriptive statistics

Standard deviation8706.7892
Coefficient of variation (CV)0.00043097577
Kurtosis-1.6263509
Mean20202503
Median Absolute Deviation (MAD)9909
Skewness-0.29828336
Sum3.1111854 × 109
Variance75808179
MonotonicityNot monotonic
2024-03-23T07:55:06.816479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
20191005 28
18.2%
20210714 24
15.6%
20200814 18
11.7%
20210927 14
9.1%
20211221 12
7.8%
20191226 12
7.8%
20211206 10
 
6.5%
20190628 8
 
5.2%
20200811 8
 
5.2%
20211129 6
 
3.9%
Other values (4) 14
9.1%
ValueCountFrequency (%)
20190628 8
 
5.2%
20191005 28
18.2%
20191226 12
7.8%
20200811 8
 
5.2%
20200814 18
11.7%
20200914 6
 
3.9%
20201007 2
 
1.3%
20210714 24
15.6%
20210822 4
 
2.6%
20210927 14
9.1%
ValueCountFrequency (%)
20211221 12
7.8%
20211206 10
6.5%
20211129 6
 
3.9%
20211005 2
 
1.3%
20210927 14
9.1%
20210822 4
 
2.6%
20210714 24
15.6%
20201007 2
 
1.3%
20200914 6
 
3.9%
20200814 18
11.7%

CRTFC_END_DE
Real number (ℝ)

Distinct15
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20232502
Minimum20220627
Maximum20241220
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-03-23T07:55:07.022225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20220627
5-th percentile20220872
Q120221225
median20230913
Q320240926
95-th percentile20241220
Maximum20241220
Range20593
Interquartile range (IQR)19701

Descriptive statistics

Standard deviation8706.8016
Coefficient of variation (CV)0.00043033737
Kurtosis-1.626352
Mean20232502
Median Absolute Deviation (MAD)9909
Skewness-0.29828257
Sum3.1158053 × 109
Variance75808393
MonotonicityNot monotonic
2024-03-23T07:55:07.238851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
20221004 28
18.2%
20240713 22
14.3%
20230813 18
11.7%
20240926 14
9.1%
20241220 12
7.8%
20221225 12
7.8%
20241205 10
 
6.5%
20220627 8
 
5.2%
20230810 8
 
5.2%
20241128 6
 
3.9%
Other values (5) 16
10.4%
ValueCountFrequency (%)
20220627 8
 
5.2%
20221004 28
18.2%
20221225 12
7.8%
20230810 8
 
5.2%
20230813 18
11.7%
20230913 6
 
3.9%
20231006 2
 
1.3%
20240713 22
14.3%
20240714 2
 
1.3%
20240821 4
 
2.6%
ValueCountFrequency (%)
20241220 12
7.8%
20241205 10
6.5%
20241128 6
 
3.9%
20241004 2
 
1.3%
20240926 14
9.1%
20240821 4
 
2.6%
20240714 2
 
1.3%
20240713 22
14.3%
20231006 2
 
1.3%
20230913 6
 
3.9%

CRTFC_STTUS
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
10
154 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10
2nd row10
3rd row10
4th row10
5th row10

Common Values

ValueCountFrequency (%)
10 154
100.0%

Length

2024-03-23T07:55:07.600412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:55:08.067124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10 154
100.0%

PRDT_NM
Text

Distinct77
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-03-23T07:55:08.599484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length9
Mean length6.6233766
Min length2

Characters and Unicode

Total characters1020
Distinct characters162
Distinct categories7 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row미상25
2nd row미상25
3rd row신례명주
4th row신례명주
5th row혼디주
ValueCountFrequency (%)
국순당 8
 
3.4%
막걸리 8
 
3.4%
려 8
 
3.4%
오미로제 6
 
2.6%
그랑꼬또 6
 
2.6%
25 6
 
2.6%
크라테 4
 
1.7%
청주신선주 4
 
1.7%
나루 4
 
1.7%
생 4
 
1.7%
Other values (84) 174
75.0%
2024-03-23T07:55:09.640756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
78
 
7.6%
주 68
 
6.7%
리 34
 
3.3%
막 28
 
2.7%
걸 28
 
2.7%
2 22
 
2.2%
소 22
 
2.2%
5 20
 
2.0%
생 20
 
2.0%
1 14
 
1.4%
Other values (152) 686
67.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 826
81.0%
Decimal Number 82
 
8.0%
Space Separator 78
 
7.6%
Open Punctuation 12
 
1.2%
Close Punctuation 12
 
1.2%
Other Punctuation 8
 
0.8%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 68
 
8.2%
리 34
 
4.1%
막 28
 
3.4%
걸 28
 
3.4%
소 22
 
2.7%
생 20
 
2.4%
로 14
 
1.7%
제 14
 
1.7%
인 12
 
1.5%
미 12
 
1.5%
Other values (139) 574
69.5%
Decimal Number
ValueCountFrequency (%)
2 22
26.8%
5 20
24.4%
1 14
17.1%
0 14
17.1%
4 8
 
9.8%
3 2
 
2.4%
6 2
 
2.4%
Other Punctuation
ValueCountFrequency (%)
% 6
75.0%
. 2
 
25.0%
Space Separator
ValueCountFrequency (%)
78
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Uppercase Letter
ValueCountFrequency (%)
M 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 820
80.4%
Common 192
 
18.8%
Han 6
 
0.6%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 68
 
8.3%
리 34
 
4.1%
막 28
 
3.4%
걸 28
 
3.4%
소 22
 
2.7%
생 20
 
2.4%
로 14
 
1.7%
제 14
 
1.7%
인 12
 
1.5%
미 12
 
1.5%
Other values (136) 568
69.3%
Common
ValueCountFrequency (%)
78
40.6%
2 22
 
11.5%
5 20
 
10.4%
1 14
 
7.3%
0 14
 
7.3%
( 12
 
6.2%
) 12
 
6.2%
4 8
 
4.2%
% 6
 
3.1%
3 2
 
1.0%
Other values (2) 4
 
2.1%
Han
ValueCountFrequency (%)
古 2
33.3%
濁 2
33.3%
淸 2
33.3%
Latin
ValueCountFrequency (%)
M 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 820
80.4%
ASCII 194
 
19.0%
CJK 6
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
78
40.2%
2 22
 
11.3%
5 20
 
10.3%
1 14
 
7.2%
0 14
 
7.2%
( 12
 
6.2%
) 12
 
6.2%
4 8
 
4.1%
% 6
 
3.1%
3 2
 
1.0%
Other values (3) 6
 
3.1%
Hangul
ValueCountFrequency (%)
주 68
 
8.3%
리 34
 
4.1%
막 28
 
3.4%
걸 28
 
3.4%
소 22
 
2.7%
생 20
 
2.4%
로 14
 
1.7%
제 14
 
1.7%
인 12
 
1.5%
미 12
 
1.5%
Other values (136) 568
69.3%
CJK
ValueCountFrequency (%)
古 2
33.3%
濁 2
33.3%
淸 2
33.3%

Sample

REQST_NOSNCRTFC_NORCEPT_NOCRTFC_INSTT_CDCRTFC_INSTT_NMENTRPS_CDENTRPS_NMRPRSNTV_NMHEDOFC_LEGALDONG_CDHEDOFC_ZIPHEDOFC_ADDR1HEDOFC_ADDR2HEDOFC_TELNO1HEDOFC_TELNO2HEDOFC_TELNO3FCTRY_LEGALDONG_CDFCTRY_ZIPFCTRY_ADDR1FCTRY_ADDR2PRDLST_NMCRTFC_TY_CDCRTFC_DECRTFC_START_DECRTFC_END_DECRTFC_STTUSPRDT_NM
0LMS00000005041국가지정-가-232506C000949816한국식품연구원C002003310농업회사법인(주)시트러스*개인정보보호*501302532963608*개인정보보호**개인정보보호**개인정보보호**개인정보보호**개인정보보호*501302532963608*개인정보보호**개인정보보호*일반증류주2020210927202109272024092610미상25
1LMS00000005041국가지정-가-232506C000949816한국식품연구원C002003310농업회사법인(주)시트러스*개인정보보호*501302532963608*개인정보보호**개인정보보호**개인정보보호**개인정보보호**개인정보보호*501302532963608*개인정보보호**개인정보보호*일반증류주2020210927202109272024092610미상25
2LMS00000005051국가지정-가-233507C000949816한국식품연구원C002003310농업회사법인(주)시트러스*개인정보보호*501302532963608*개인정보보호**개인정보보호**개인정보보호**개인정보보호**개인정보보호*501302532963608*개인정보보호**개인정보보호*일반증류주2020210927202109272024092610신례명주
3LMS00000005051국가지정-가-233507C000949816한국식품연구원C002003310농업회사법인(주)시트러스*개인정보보호*501302532963608*개인정보보호**개인정보보호**개인정보보호**개인정보보호**개인정보보호*501302532963608*개인정보보호**개인정보보호*일반증류주2020210927202109272024092610신례명주
4LMS00000005061국가지정-가-234508C000949816한국식품연구원C002003310농업회사법인(주)시트러스*개인정보보호*501302532963608*개인정보보호**개인정보보호**개인정보보호**개인정보보호**개인정보보호*501302532963608*개인정보보호**개인정보보호*과실주2020210927202109272024092610혼디주
5LMS00000005061국가지정-가-234508C000949816한국식품연구원C002003310농업회사법인(주)시트러스*개인정보보호*501302532963608*개인정보보호**개인정보보호**개인정보보호**개인정보보호**개인정보보호*501302532963608*개인정보보호**개인정보보호*과실주2020210927202109272024092610혼디주
6LMS00000005071국가지정-가-235509C000949816한국식품연구원C000997224제주샘영농조합법인*개인정보보호*501102533163036*개인정보보호**개인정보보호**개인정보보호**개인정보보호**개인정보보호*501102533163036*개인정보보호**개인정보보호*일반증류주2020210927202109272024092610바띠
7LMS00000005071국가지정-가-235509C000949816한국식품연구원C000997224제주샘영농조합법인*개인정보보호*501102533163036*개인정보보호**개인정보보호**개인정보보호**개인정보보호**개인정보보호*501102533163036*개인정보보호**개인정보보호*일반증류주2020210927202109272024092610바띠
8LMS00000005081국가지정-가-236510C000949816한국식품연구원C001167371영농조합법인 우도땅콩막걸리 낙화곡주*개인정보보호*501103302163365*개인정보보호**개인정보보호**개인정보보호**개인정보보호**개인정보보호*501103302163365*개인정보보호**개인정보보호*탁주2020210927202109272024092610제주우도땅콩생막걸리
9LMS00000005081국가지정-가-236510C000949816한국식품연구원C001167371영농조합법인 우도땅콩막걸리 낙화곡주*개인정보보호*501103302163365*개인정보보호**개인정보보호**개인정보보호**개인정보보호**개인정보보호*501103302163365*개인정보보호**개인정보보호*탁주2020210927202109272024092610제주우도땅콩생막걸리
REQST_NOSNCRTFC_NORCEPT_NOCRTFC_INSTT_CDCRTFC_INSTT_NMENTRPS_CDENTRPS_NMRPRSNTV_NMHEDOFC_LEGALDONG_CDHEDOFC_ZIPHEDOFC_ADDR1HEDOFC_ADDR2HEDOFC_TELNO1HEDOFC_TELNO2HEDOFC_TELNO3FCTRY_LEGALDONG_CDFCTRY_ZIPFCTRY_ADDR1FCTRY_ADDR2PRDLST_NMCRTFC_TY_CDCRTFC_DECRTFC_START_DECRTFC_END_DECRTFC_STTUSPRDT_NM
144LMS00000004991국가지정-가-227500C000949816한국식품연구원C001018776농업회사법인 (주)제이엘*개인정보보호*472802502736919*개인정보보호**개인정보보호**개인정보보호**개인정보보호**개인정보보호*472802502736919*개인정보보호**개인정보보호*과실주2020210714202107142024071310오미로제 연
145LMS00000004991국가지정-가-227500C000949816한국식품연구원C001018776농업회사법인 (주)제이엘*개인정보보호*472802502736919*개인정보보호**개인정보보호**개인정보보호**개인정보보호**개인정보보호*472802502736919*개인정보보호**개인정보보호*과실주2020210714202107142024071310오미로제 연
146LMS00000005001국가지정-가-228501C000949816한국식품연구원C001018776농업회사법인 (주)제이엘*개인정보보호*472802502736919*개인정보보호**개인정보보호**개인정보보호**개인정보보호**개인정보보호*472802502736919*개인정보보호**개인정보보호*과실주2020210714202107142024071310오미로제 결
147LMS00000005001국가지정-가-228501C000949816한국식품연구원C001018776농업회사법인 (주)제이엘*개인정보보호*472802502736919*개인정보보호**개인정보보호**개인정보보호**개인정보보호**개인정보보호*472802502736919*개인정보보호**개인정보보호*과실주2020210714202107142024071310오미로제 결
148LMS00000005011국가지정-가-229503C000949816한국식품연구원C001018776농업회사법인 (주)제이엘*개인정보보호*472802502736919*개인정보보호**개인정보보호**개인정보보호**개인정보보호**개인정보보호*472802502736919*개인정보보호**개인정보보호*일반증류주2020210714202107142024071310혼(22%)
149LMS00000005011국가지정-가-229503C000949816한국식품연구원C001018776농업회사법인 (주)제이엘*개인정보보호*472802502736919*개인정보보호**개인정보보호**개인정보보호**개인정보보호**개인정보보호*472802502736919*개인정보보호**개인정보보호*일반증류주2020210714202107142024071310혼(22%)
150LMS00000005021국가지정-가-230504C000949816한국식품연구원C001018776농업회사법인 (주)제이엘*개인정보보호*472802502736919*개인정보보호**개인정보보호**개인정보보호**개인정보보호**개인정보보호*472802502736919*개인정보보호**개인정보보호*일반증류주2020210714202107142024071310문경바람(오크) 25%
151LMS00000005021국가지정-가-230504C000949816한국식품연구원C001018776농업회사법인 (주)제이엘*개인정보보호*472802502736919*개인정보보호**개인정보보호**개인정보보호**개인정보보호**개인정보보호*472802502736919*개인정보보호**개인정보보호*일반증류주2020210714202107142024071310문경바람(오크) 25%
152LMS00000005031국가지정-가-231505C000949816한국식품연구원C002000669불휘농장*개인정보보호*437404003129105*개인정보보호**개인정보보호**개인정보보호**개인정보보호**개인정보보호*437404003129105*개인정보보호**개인정보보호*과실주2020210714202107142024071310시나브로 캠벨
153LMS00000005031국가지정-가-231505C000949816한국식품연구원C002000669불휘농장*개인정보보호*437404003129105*개인정보보호**개인정보보호**개인정보보호**개인정보보호**개인정보보호*437404003129105*개인정보보호**개인정보보호*과실주2020210714202107142024071310시나브로 캠벨

Duplicate rows

Most frequently occurring

REQST_NOSNCRTFC_NORCEPT_NOCRTFC_INSTT_CDCRTFC_INSTT_NMENTRPS_CDENTRPS_NMRPRSNTV_NMHEDOFC_LEGALDONG_CDHEDOFC_ZIPHEDOFC_ADDR1HEDOFC_ADDR2HEDOFC_TELNO1HEDOFC_TELNO2HEDOFC_TELNO3FCTRY_LEGALDONG_CDFCTRY_ZIPFCTRY_ADDR1FCTRY_ADDR2PRDLST_NMCRTFC_TY_CDCRTFC_DECRTFC_START_DECRTFC_END_DECRTFC_STTUSPRDT_NM# duplicates
0LMS00000001301국가지정-가-103134C000949816한국식품연구원C001012090(주)술샘*개인정보보호*414613602117158*개인정보보호**개인정보보호**개인정보보호**개인정보보호**개인정보보호*414613602117158*개인정보보호**개인정보보호*증류식소주2020151005202110052024100410미르 402
1LMS00000001351국가지정-가-110129C000949816한국식품연구원C001013595(주)비아탁주*개인정보보호*292001120062241*개인정보보호**개인정보보호**개인정보보호**개인정보보호**개인정보보호*292001120062241*개인정보보호**개인정보보호*탁주1020151223202112212024122010비아쌀막걸리2
2LMS00000002511국가지정-가-120175C000949816한국식품연구원C001018785제주고소리술익는집*개인정보보호*501303202363624*개인정보보호**개인정보보호**개인정보보호**개인정보보호**개인정보보호*501303202363624*개인정보보호**개인정보보호*증류식소주2020161005201910052022100410제주고소리술2
3LMS00000002521국가지정-가-121174C000949816한국식품연구원C001018786(주)1932포천일동막걸리*개인정보보호*416503702311119*개인정보보호**개인정보보호**개인정보보호**개인정보보호**개인정보보호*416503702311119*개인정보보호**개인정보보호*탁주2020161226201912262022122510담은2
4LMS00000002531국가지정-가-122173C000949816한국식품연구원C001018787농업회사법인 국순당여주명주 주식회사*개인정보보호*416703702812617*개인정보보호**개인정보보호**개인정보보호**개인정보보호**개인정보보호*416703702812617*개인정보보호**개인정보보호*증류식소주1020161226201912262022122510려 252
5LMS00000002541국가지정-가-123172C000949816한국식품연구원C001018787농업회사법인 국순당여주명주 주식회사*개인정보보호*416703702812617*개인정보보호**개인정보보호**개인정보보호**개인정보보호**개인정보보호*416703702812617*개인정보보호**개인정보보호*증류식소주2020161226201912262022122510려 증류소주252
6LMS00000002561국가지정-가-125170C000949816한국식품연구원C000995349우리술*개인정보보호*418203452712439*개인정보보호**개인정보보호**개인정보보호**개인정보보호**개인정보보호*418203452712439*개인정보보호**개인정보보호*탁주1020161226201912262022122510가평잣생막걸리2
7LMS00000002571국가지정-가-115169C000949816한국식품연구원C001018798(주)당진면천주조*개인정보보호*442703502131804*개인정보보호**개인정보보호**개인정보보호**개인정보보호**개인정보보호*442703502131804*개인정보보호**개인정보보호*탁주2020160628201906282022062710면천샘물우리쌀생쌀막걸리2
8LMS00000002581국가지정-가-116168C000949816한국식품연구원C001018798(주)당진면천주조*개인정보보호*442703502131804*개인정보보호**개인정보보호**개인정보보호**개인정보보호**개인정보보호*442703502131804*개인정보보호**개인정보보호*탁주1020160628201906282022062710면천샘물생쌀막걸리2
9LMS00000002591국가지정-가-113167C000949816한국식품연구원C001018799삼봉표 아리랑막걸리*개인정보보호*421301110026407*개인정보보호**개인정보보호**개인정보보호**개인정보보호**개인정보보호*421301110026407*개인정보보호**개인정보보호*탁주2020160628201906282022062710삼봉표아리랑막걸리2