Overview

Dataset statistics

Number of variables11
Number of observations953
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory84.8 KiB
Average record size in memory91.1 B

Variable types

Categorical5
Text4
Numeric2

Dataset

Description우수식품인증업체, 민간인증기관 정보서비스(인증구분, 인증번호, 인증기관, 인증일자, 인증업체, 주소, 제품명)
Author국립농산물품질관리원
URLhttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20220204000000001688

Alerts

CRTFC_END_DE has constant value ""Constant
RPRSNTV_NM has constant value ""Constant
TELNO has constant value ""Constant
CRTFC_DE is highly overall correlated with CRTFC_START_DEHigh correlation
CRTFC_START_DE is highly overall correlated with CRTFC_DEHigh correlation
CRTFC_INSTT is highly imbalanced (95.3%)Imbalance
CRTFC_NO has unique valuesUnique

Reproduction

Analysis started2024-03-23 07:24:54.709935
Analysis finished2024-03-23 07:24:58.406099
Duration3.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

CRTFC_SE
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
전통식품인증
766 
KS인증
187 

Length

Max length6
Median length6
Mean length5.6075551
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전통식품인증 766
80.4%
KS인증 187
 
19.6%

Length

2024-03-23T07:24:58.811234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:24:59.089774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전통식품인증 766
80.4%
ks인증 187
 
19.6%

CRTFC_NO
Text

UNIQUE 

Distinct953
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
2024-03-23T07:24:59.560863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.450157
Min length12

Characters and Unicode

Total characters11865
Distinct characters19
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique953 ?
Unique (%)100.0%

Sample

1st row식품연 전통 제768호
2nd row식품연 전통 제125호
3rd row식품연 전통 제571호
4th row식품연 전통 제1013호
5th row식품연 전통 제336호
ValueCountFrequency (%)
식품연 953
35.7%
전통 766
28.7%
제2013-12호 1
 
< 0.1%
제1069호 1
 
< 0.1%
제789호 1
 
< 0.1%
제798호 1
 
< 0.1%
제216호 1
 
< 0.1%
제1192호 1
 
< 0.1%
제1063호 1
 
< 0.1%
제132호 1
 
< 0.1%
Other values (945) 945
35.4%
2024-03-23T07:25:00.369732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1719
14.5%
식 953
 
8.0%
연 953
 
8.0%
제 953
 
8.0%
품 953
 
8.0%
호 953
 
8.0%
전 766
 
6.5%
통 766
 
6.5%
1 759
 
6.4%
0 589
 
5.0%
Other values (9) 2501
21.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6297
53.1%
Decimal Number 3662
30.9%
Space Separator 1719
 
14.5%
Dash Punctuation 187
 
1.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 759
20.7%
0 589
16.1%
2 511
14.0%
9 289
 
7.9%
8 286
 
7.8%
3 260
 
7.1%
6 251
 
6.9%
7 247
 
6.7%
4 238
 
6.5%
5 232
 
6.3%
Other Letter
ValueCountFrequency (%)
식 953
15.1%
연 953
15.1%
제 953
15.1%
품 953
15.1%
호 953
15.1%
전 766
12.2%
통 766
12.2%
Space Separator
ValueCountFrequency (%)
1719
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 187
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6297
53.1%
Common 5568
46.9%

Most frequent character per script

Common
ValueCountFrequency (%)
1719
30.9%
1 759
13.6%
0 589
 
10.6%
2 511
 
9.2%
9 289
 
5.2%
8 286
 
5.1%
3 260
 
4.7%
6 251
 
4.5%
7 247
 
4.4%
4 238
 
4.3%
Other values (2) 419
 
7.5%
Hangul
ValueCountFrequency (%)
식 953
15.1%
연 953
15.1%
제 953
15.1%
품 953
15.1%
호 953
15.1%
전 766
12.2%
통 766
12.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6297
53.1%
ASCII 5568
46.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1719
30.9%
1 759
13.6%
0 589
 
10.6%
2 511
 
9.2%
9 289
 
5.2%
8 286
 
5.1%
3 260
 
4.7%
6 251
 
4.5%
7 247
 
4.4%
4 238
 
4.3%
Other values (2) 419
 
7.5%
Hangul
ValueCountFrequency (%)
식 953
15.1%
연 953
15.1%
제 953
15.1%
품 953
15.1%
호 953
15.1%
전 766
12.2%
통 766
12.2%

CRTFC_INSTT
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
한국식품연구원
948 
주식회사 푸름인증원
 
5

Length

Max length10
Median length7
Mean length7.0157398
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
한국식품연구원 948
99.5%
주식회사 푸름인증원 5
 
0.5%

Length

2024-03-23T07:25:00.618347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:25:00.896549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국식품연구원 948
99.0%
주식회사 5
 
0.5%
푸름인증원 5
 
0.5%

CRTFC_DE
Real number (ℝ)

HIGH CORRELATION 

Distinct201
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20195070
Minimum20130516
Maximum20220104
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2024-03-23T07:25:01.246734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20130516
5-th percentile20190320
Q120190422
median20191001
Q320200616
95-th percentile20210914
Maximum20220104
Range89588
Interquartile range (IQR)10194

Descriptive statistics

Standard deviation10438.382
Coefficient of variation (CV)0.00051687773
Kurtosis8.843317
Mean20195070
Median Absolute Deviation (MAD)676
Skewness-1.7290064
Sum1.9245902 × 1010
Variance1.0895982 × 108
MonotonicityNot monotonic
2024-03-23T07:25:01.743339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190509 34
 
3.6%
20190430 27
 
2.8%
20200420 25
 
2.6%
20200413 24
 
2.5%
20190502 23
 
2.4%
20190327 22
 
2.3%
20190429 21
 
2.2%
20201123 18
 
1.9%
20190508 17
 
1.8%
20190418 17
 
1.8%
Other values (191) 725
76.1%
ValueCountFrequency (%)
20130516 2
0.2%
20130625 1
 
0.1%
20140504 1
 
0.1%
20140709 1
 
0.1%
20141202 1
 
0.1%
20150109 1
 
0.1%
20150317 1
 
0.1%
20150406 1
 
0.1%
20150422 4
0.4%
20150520 1
 
0.1%
ValueCountFrequency (%)
20220104 6
0.6%
20211228 1
 
0.1%
20211227 1
 
0.1%
20211220 1
 
0.1%
20211213 4
0.4%
20211130 9
0.9%
20211125 1
 
0.1%
20211115 3
 
0.3%
20211110 1
 
0.1%
20211102 2
 
0.2%

CRTFC_START_DE
Real number (ℝ)

HIGH CORRELATION 

Distinct404
Distinct (%)42.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20139632
Minimum19670715
Maximum20220103
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2024-03-23T07:25:02.088814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19670715
5-th percentile19990624
Q120110119
median20170224
Q320190617
95-th percentile20210412
Maximum20220103
Range549388
Interquartile range (IQR)80498

Descriptive statistics

Standard deviation72380.54
Coefficient of variation (CV)0.0035939356
Kurtosis5.3299509
Mean20139632
Median Absolute Deviation (MAD)30199
Skewness-1.8624203
Sum1.9193069 × 1010
Variance5.2389426 × 109
MonotonicityNot monotonic
2024-03-23T07:25:02.347253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20181002 12
 
1.3%
20180716 11
 
1.2%
20170828 11
 
1.2%
20131112 10
 
1.0%
20140324 9
 
0.9%
20181030 9
 
0.9%
20191216 9
 
0.9%
20150506 9
 
0.9%
20180122 8
 
0.8%
20200423 8
 
0.8%
Other values (394) 857
89.9%
ValueCountFrequency (%)
19670715 1
0.1%
19671117 1
0.1%
19730308 1
0.1%
19830615 1
0.1%
19860424 1
0.1%
19870331 1
0.1%
19871120 1
0.1%
19920107 1
0.1%
19920306 1
0.1%
19930322 2
0.2%
ValueCountFrequency (%)
20220103 6
0.6%
20211228 1
 
0.1%
20211220 1
 
0.1%
20211213 4
0.4%
20211129 3
0.3%
20211116 3
0.3%
20211115 3
0.3%
20211102 2
 
0.2%
20211101 1
 
0.1%
20211013 2
 
0.2%

CRTFC_END_DE
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
29991231
953 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row29991231
2nd row29991231
3rd row29991231
4th row29991231
5th row29991231

Common Values

ValueCountFrequency (%)
29991231 953
100.0%

Length

2024-03-23T07:25:02.653111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:25:02.864555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
29991231 953
100.0%

CRTFC_ENTRPS
Text

Distinct560
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
2024-03-23T07:25:03.175198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length9.0398741
Min length2

Characters and Unicode

Total characters8615
Distinct characters383
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

Unique351 ?
Unique (%)36.8%

Sample

1st row삼보식품(주)
2nd row농업회사법인(유)일품김치
3rd row사임당푸드영농조합법인
4th row한울전통장
5th row찰떡궁합
ValueCountFrequency (%)
농업회사법인 92
 
7.7%
영농조합법인 65
 
5.4%
주식회사 11
 
0.9%
주)디아이 10
 
0.8%
주)태림에프웰 8
 
0.7%
주)오뚜기 7
 
0.6%
남안동농협가공사업소 6
 
0.5%
순애할매농산(유 6
 
0.5%
㈜이가자연면 5
 
0.4%
서일농원 5
 
0.4%
Other values (588) 987
82.1%
2024-03-23T07:25:03.854273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
농 456
 
5.3%
인 360
 
4.2%
법 343
 
4.0%
주 341
 
4.0%
( 314
 
3.6%
) 314
 
3.6%
식 281
 
3.3%
품 271
 
3.1%
사 255
 
3.0%
255
 
3.0%
Other values (373) 5425
63.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7474
86.8%
Open Punctuation 314
 
3.6%
Close Punctuation 314
 
3.6%
Space Separator 255
 
3.0%
Other Symbol 165
 
1.9%
Decimal Number 32
 
0.4%
Control 32
 
0.4%
Uppercase Letter 20
 
0.2%
Other Punctuation 9
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 456
 
6.1%
인 360
 
4.8%
법 343
 
4.6%
주 341
 
4.6%
식 281
 
3.8%
품 271
 
3.6%
사 255
 
3.4%
업 232
 
3.1%
회 209
 
2.8%
합 193
 
2.6%
Other values (358) 4533
60.7%
Uppercase Letter
ValueCountFrequency (%)
F 10
50.0%
S 5
25.0%
B 3
 
15.0%
C 1
 
5.0%
K 1
 
5.0%
Decimal Number
ValueCountFrequency (%)
2 21
65.6%
1 10
31.2%
3 1
 
3.1%
Control
ValueCountFrequency (%)
16
50.0%
16
50.0%
Open Punctuation
ValueCountFrequency (%)
( 314
100.0%
Close Punctuation
ValueCountFrequency (%)
) 314
100.0%
Space Separator
ValueCountFrequency (%)
255
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 165
100.0%
Other Punctuation
ValueCountFrequency (%)
& 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7639
88.7%
Common 956
 
11.1%
Latin 20
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 456
 
6.0%
인 360
 
4.7%
법 343
 
4.5%
주 341
 
4.5%
식 281
 
3.7%
품 271
 
3.5%
사 255
 
3.3%
업 232
 
3.0%
회 209
 
2.7%
합 193
 
2.5%
Other values (359) 4698
61.5%
Common
ValueCountFrequency (%)
( 314
32.8%
) 314
32.8%
255
26.7%
2 21
 
2.2%
16
 
1.7%
16
 
1.7%
1 10
 
1.0%
& 9
 
0.9%
3 1
 
0.1%
Latin
ValueCountFrequency (%)
F 10
50.0%
S 5
25.0%
B 3
 
15.0%
C 1
 
5.0%
K 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7474
86.8%
ASCII 976
 
11.3%
None 165
 
1.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
농 456
 
6.1%
인 360
 
4.8%
법 343
 
4.6%
주 341
 
4.6%
식 281
 
3.8%
품 271
 
3.6%
사 255
 
3.4%
업 232
 
3.1%
회 209
 
2.8%
합 193
 
2.6%
Other values (358) 4533
60.7%
ASCII
ValueCountFrequency (%)
( 314
32.2%
) 314
32.2%
255
26.1%
2 21
 
2.2%
16
 
1.6%
16
 
1.6%
1 10
 
1.0%
F 10
 
1.0%
& 9
 
0.9%
S 5
 
0.5%
Other values (4) 6
 
0.6%
None
ValueCountFrequency (%)
㈜ 165
100.0%

RPRSNTV_NM
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
*개인정보보호*
953 

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* 953
100.0%

Length

2024-03-23T07:25:04.248982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:25:04.525829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인정보보호 953
100.0%

TELNO
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
*개인정보보호*
953 

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* 953
100.0%

Length

2024-03-23T07:25:04.842638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:25:05.131812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인정보보호 953
100.0%

ADDR
Text

Distinct512
Distinct (%)53.7%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
2024-03-23T07:25:05.661369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25
Mean length16.768101
Min length11

Characters and Unicode

Total characters15980
Distinct characters310
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

Unique300 ?
Unique (%)31.5%

Sample

1st row전라북도 부안군 변산면 내변산로
2nd row경기도 평택시 만세로
3rd row전라북도 고창군 고창읍 태봉로
4th row세종특별자치시 금남면 구룡달전로
5th row경기도 남양주시 별내면 송산로679번길
ValueCountFrequency (%)
경기도 224
 
6.1%
충청남도 139
 
3.8%
경상북도 106
 
2.9%
전라북도 91
 
2.5%
충청북도 86
 
2.3%
전라남도 85
 
2.3%
경상남도 64
 
1.7%
강원도 62
 
1.7%
파주시 29
 
0.8%
순창군 29
 
0.8%
Other values (993) 2780
75.2%
2024-03-23T07:25:06.865393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2762
 
17.3%
도 899
 
5.6%
시 611
 
3.8%
면 597
 
3.7%
길 554
 
3.5%
로 531
 
3.3%
경 432
 
2.7%
군 413
 
2.6%
남 404
 
2.5%
산 350
 
2.2%
Other values (300) 8427
52.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12720
79.6%
Space Separator 2762
 
17.3%
Decimal Number 498
 
3.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 899
 
7.1%
시 611
 
4.8%
면 597
 
4.7%
길 554
 
4.4%
로 531
 
4.2%
경 432
 
3.4%
군 413
 
3.2%
남 404
 
3.2%
산 350
 
2.8%
북 347
 
2.7%
Other values (289) 7582
59.6%
Decimal Number
ValueCountFrequency (%)
1 137
27.5%
3 75
15.1%
2 69
13.9%
4 46
 
9.2%
5 41
 
8.2%
6 29
 
5.8%
8 29
 
5.8%
9 25
 
5.0%
0 24
 
4.8%
7 23
 
4.6%
Space Separator
ValueCountFrequency (%)
2762
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12720
79.6%
Common 3260
 
20.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 899
 
7.1%
시 611
 
4.8%
면 597
 
4.7%
길 554
 
4.4%
로 531
 
4.2%
경 432
 
3.4%
군 413
 
3.2%
남 404
 
3.2%
산 350
 
2.8%
북 347
 
2.7%
Other values (289) 7582
59.6%
Common
ValueCountFrequency (%)
2762
84.7%
1 137
 
4.2%
3 75
 
2.3%
2 69
 
2.1%
4 46
 
1.4%
5 41
 
1.3%
6 29
 
0.9%
8 29
 
0.9%
9 25
 
0.8%
0 24
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12720
79.6%
ASCII 3260
 
20.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2762
84.7%
1 137
 
4.2%
3 75
 
2.3%
2 69
 
2.1%
4 46
 
1.4%
5 41
 
1.3%
6 29
 
0.9%
8 29
 
0.9%
9 25
 
0.8%
0 24
 
0.7%
Hangul
ValueCountFrequency (%)
도 899
 
7.1%
시 611
 
4.8%
면 597
 
4.7%
길 554
 
4.4%
로 531
 
4.2%
경 432
 
3.4%
군 413
 
3.2%
남 404
 
3.2%
산 350
 
2.8%
북 347
 
2.7%
Other values (289) 7582
59.6%

PRDUCT_NM
Text

Distinct891
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
2024-03-23T07:25:07.360794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length400
Median length202
Mean length24.777545
Min length3

Characters and Unicode

Total characters23613
Distinct characters615
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique863 ?
Unique (%)90.6%

Sample

1st row 삼보정깊은 죽염간장예작, 삼보정깊은 죽염간장秀作(수작)
2nd row 일품총각김치, 일품열무김치, 일품동치미, 일품파김치, 일품보쌈김치, 일품섞박지, 일품갓김치, 일품깍두기, 일품백김치, 일품맛김치, 일품포기김치(일반용)
3rd row 현미찹쌀엿강정, 복분자유과, 당귀정과, 도라지정과, 찹쌀유과, 복분자보리엿강정
4th row 한울전통고추장
5th row 떡국떡
ValueCountFrequency (%)
포기김치 57
 
1.8%
깍두기 56
 
1.8%
열무김치 54
 
1.7%
총각김치 53
 
1.7%
백김치 46
 
1.4%
갓김치 39
 
1.2%
맛김치 30
 
0.9%
파김치 25
 
0.8%
보쌈김치 24
 
0.8%
22
 
0.7%
Other values (2110) 2778
87.2%
2024-03-23T07:25:08.356589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3041
 
12.9%
, 1821
 
7.7%
치 1068
 
4.5%
김 1046
 
4.4%
기 646
 
2.7%
장 560
 
2.4%
고 321
 
1.4%
두 292
 
1.2%
리 278
 
1.2%
이 256
 
1.1%
Other values (605) 14284
60.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17514
74.2%
Space Separator 3041
 
12.9%
Other Punctuation 1840
 
7.8%
Control 396
 
1.7%
Decimal Number 236
 
1.0%
Open Punctuation 231
 
1.0%
Close Punctuation 231
 
1.0%
Uppercase Letter 62
 
0.3%
Math Symbol 36
 
0.2%
Dash Punctuation 12
 
0.1%
Other values (2) 14
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
치 1068
 
6.1%
김 1046
 
6.0%
기 646
 
3.7%
장 560
 
3.2%
고 321
 
1.8%
두 292
 
1.7%
리 278
 
1.6%
이 256
 
1.5%
추 247
 
1.4%
지 226
 
1.3%
Other values (553) 12574
71.8%
Uppercase Letter
ValueCountFrequency (%)
P 16
25.8%
S 8
12.9%
C 5
 
8.1%
H 5
 
8.1%
T 3
 
4.8%
A 3
 
4.8%
K 3
 
4.8%
D 3
 
4.8%
I 3
 
4.8%
L 3
 
4.8%
Other values (7) 10
16.1%
Decimal Number
ValueCountFrequency (%)
1 66
28.0%
0 40
16.9%
4 25
 
10.6%
2 23
 
9.7%
7 20
 
8.5%
3 16
 
6.8%
9 15
 
6.4%
6 15
 
6.4%
5 14
 
5.9%
8 2
 
0.8%
Other Punctuation
ValueCountFrequency (%)
, 1821
99.0%
/ 7
 
0.4%
& 5
 
0.3%
？ 3
 
0.2%
? 1
 
0.1%
. 1
 
0.1%
% 1
 
0.1%
! 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
g 4
44.4%
r 1
 
11.1%
i 1
 
11.1%
x 1
 
11.1%
h 1
 
11.1%
e 1
 
11.1%
Math Symbol
ValueCountFrequency (%)
~ 34
94.4%
∥ 1
 
2.8%
∼ 1
 
2.8%
Control
ValueCountFrequency (%)
198
50.0%
198
50.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 4
80.0%
Ⅰ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
3041
100.0%
Open Punctuation
ValueCountFrequency (%)
( 231
100.0%
Close Punctuation
ValueCountFrequency (%)
) 231
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17500
74.1%
Common 6023
 
25.5%
Latin 76
 
0.3%
Han 14
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
치 1068
 
6.1%
김 1046
 
6.0%
기 646
 
3.7%
장 560
 
3.2%
고 321
 
1.8%
두 292
 
1.7%
리 278
 
1.6%
이 256
 
1.5%
추 247
 
1.4%
지 226
 
1.3%
Other values (547) 12560
71.8%
Common
ValueCountFrequency (%)
3041
50.5%
, 1821
30.2%
( 231
 
3.8%
) 231
 
3.8%
198
 
3.3%
198
 
3.3%
1 66
 
1.1%
0 40
 
0.7%
~ 34
 
0.6%
4 25
 
0.4%
Other values (17) 138
 
2.3%
Latin
ValueCountFrequency (%)
P 16
21.1%
S 8
 
10.5%
C 5
 
6.6%
H 5
 
6.6%
Ⅱ 4
 
5.3%
g 4
 
5.3%
T 3
 
3.9%
A 3
 
3.9%
K 3
 
3.9%
D 3
 
3.9%
Other values (15) 22
28.9%
Han
ValueCountFrequency (%)
秀 4
28.6%
米 2
14.3%
心 2
14.3%
安 2
14.3%
作 2
14.3%
純 2
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17500
74.1%
ASCII 6089
 
25.8%
CJK 14
 
0.1%
Number Forms 5
 
< 0.1%
None 3
 
< 0.1%
Math Operators 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3041
49.9%
, 1821
29.9%
( 231
 
3.8%
) 231
 
3.8%
198
 
3.3%
198
 
3.3%
1 66
 
1.1%
0 40
 
0.7%
~ 34
 
0.6%
4 25
 
0.4%
Other values (37) 204
 
3.4%
Hangul
ValueCountFrequency (%)
치 1068
 
6.1%
김 1046
 
6.0%
기 646
 
3.7%
장 560
 
3.2%
고 321
 
1.8%
두 292
 
1.7%
리 278
 
1.6%
이 256
 
1.5%
추 247
 
1.4%
지 226
 
1.3%
Other values (547) 12560
71.8%
CJK
ValueCountFrequency (%)
秀 4
28.6%
米 2
14.3%
心 2
14.3%
安 2
14.3%
作 2
14.3%
純 2
14.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 4
80.0%
Ⅰ 1
 
20.0%
None
ValueCountFrequency (%)
？ 3
100.0%
Math Operators
ValueCountFrequency (%)
∥ 1
50.0%
∼ 1
50.0%

Interactions

2024-03-23T07:24:57.024881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:24:56.390329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:24:57.296380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:24:56.748026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T07:25:08.619909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
CRTFC_SECRTFC_INSTTCRTFC_DECRTFC_START_DE
CRTFC_SE1.0000.0000.5990.230
CRTFC_INSTT0.0001.0000.2240.000
CRTFC_DE0.5990.2241.0000.267
CRTFC_START_DE0.2300.0000.2671.000
2024-03-23T07:25:08.856159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
CRTFC_INSTTCRTFC_SE
CRTFC_INSTT1.0000.000
CRTFC_SE0.0001.000
2024-03-23T07:25:09.080528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
CRTFC_DECRTFC_START_DECRTFC_SECRTFC_INSTT
CRTFC_DE1.0000.5060.4690.171
CRTFC_START_DE0.5061.0000.1870.000
CRTFC_SE0.4690.1871.0000.000
CRTFC_INSTT0.1710.0000.0001.000

Missing values

2024-03-23T07:24:57.691941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T07:24:58.207080image/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

CRTFC_SECRTFC_NOCRTFC_INSTTCRTFC_DECRTFC_START_DECRTFC_END_DECRTFC_ENTRPSRPRSNTV_NMTELNOADDRPRDUCT_NM
0전통식품인증식품연 전통 제768호한국식품연구원201904222015061529991231삼보식품(주)*개인정보보호**개인정보보호*전라북도 부안군 변산면 내변산로삼보정깊은 죽염간장예작, 삼보정깊은 죽염간장秀作(수작)
1전통식품인증식품연 전통 제125호한국식품연구원201903251999012929991231농업회사법인(유)일품김치*개인정보보호**개인정보보호*경기도 평택시 만세로일품총각김치, 일품열무김치, 일품동치미, 일품파김치, 일품보쌈김치, 일품섞박지, 일품갓김치, 일품깍두기, 일품백김치, 일품맛김치, 일품포기김치(일반용)
2전통식품인증식품연 전통 제571호한국식품연구원201904152012041029991231사임당푸드영농조합법인*개인정보보호**개인정보보호*전라북도 고창군 고창읍 태봉로현미찹쌀엿강정, 복분자유과, 당귀정과, 도라지정과, 찹쌀유과, 복분자보리엿강정
3전통식품인증식품연 전통 제1013호한국식품연구원201905092018100229991231한울전통장*개인정보보호**개인정보보호*세종특별자치시 금남면 구룡달전로한울전통고추장
4전통식품인증식품연 전통 제336호한국식품연구원201909102007042629991231찰떡궁합*개인정보보호**개인정보보호*경기도 남양주시 별내면 송산로679번길떡국떡
5전통식품인증식품연 전통 제1010호한국식품연구원201905092018091029991231대명에프에스(주)*개인정보보호**개인정보보호*인천광역시 부평구 백범로568번길떡볶이떡, 조랭이떡, 떡국떡
6전통식품인증식품연 전통 제1033호한국식품연구원201905092018121029991231농업회사법인우리미단(주)*개인정보보호**개인정보보호*충청남도 서산시 해미면 해운로쌀국수(한면)
7전통식품인증식품연 전통 제942호한국식품연구원201905022018012229991231운두란*개인정보보호**개인정보보호*충청남도 예산군 예산읍 신례원로202번길최명순청국장
8전통식품인증식품연 전통 제138호한국식품연구원201908191999062529991231농업회사법인(주)설악산그린푸드*개인정보보호**개인정보보호*강원도 양양군 양양읍 포월새말길동고, 백화고, 흑화고, 썰은건표고
9전통식품인증식품연 전통 제686호한국식품연구원201904182014022429991231영양산마을*개인정보보호**개인정보보호*경상북도 영양군 입암면 청기로산해원된장, 숨쉬는시골항아리전통된장, 네니아전통된장
CRTFC_SECRTFC_NOCRTFC_INSTTCRTFC_DECRTFC_START_DECRTFC_END_DECRTFC_ENTRPSRPRSNTV_NMTELNOADDRPRDUCT_NM
943전통식품인증식품연 전통 제674호한국식품연구원202001312013120929991231농업회사법인 (주)영양F&S*개인정보보호**개인정보보호*경기도 이천시 신둔면 경충대로3233번길똑똑이들기름, 햇님마을들기름
944전통식품인증식품연 전통 제653호한국식품연구원201912092013091029991231고향애*개인정보보호**개인정보보호*경기도 안성시 공도읍 용머리길고향애 재래한식간장
945전통식품인증식품연 전통 제997호한국식품연구원201905092018073029991231백석올미영농조합법인*개인정보보호**개인정보보호*충청남도 당진시 순성면 매실로올미유과, 올미산자
946KS인증식품연 제2013-13호한국식품연구원201501092013120929991231(주)한일코리아*개인정보보호**개인정보보호*경기도 포천시 삼육사로한일깍두기, 한일열무김치, 한일막김치, 7~9월배추김치, 3~4월배추김치, 한일포기김치, 10~11월배추김치, 한일총각김치, 한일김장김치, 한일백김치, 5~6월배추김치
947KS인증식품연 제2011-08호한국식품연구원201503172011042629991231㈜디아이*개인정보보호**개인정보보호*강원도 강릉시 주문진읍 농공단지길김장김치, 맛김치, 배추김치(막김치), 깍두기, 맘애찬총각김치, 열무김치, 총각김치, 배추김치(포기), 포기김치, 맘애찬갓김치, 맘애찬배추김치, 맘에찬맛김치, 맘애찬무김치, 맘애찬열무김치, 맘에찬보쌈김치
948KS인증식품연 제2013-06호한국식품연구원201305162013040929991231(주)오뚜기 대풍공장*개인정보보호**개인정보보호*충청북도 음성군 대소면 대풍산단로토마토케?
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