Overview

Dataset statistics

Number of variables13
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 MiB
Average record size in memory117.0 B

Variable types

Numeric5
Text4
Categorical1
DateTime3

Dataset

Description국립농산물품질관리원에서 관리하는 농산물우수관리(GAP) 인증정보(인증번호, 인증기관, 개인/단체, 생산자단체, 유효기간 시작일, 유효기간 종료일, 품목, 주소, 등록 농가수, 등록 필지수, 재배면적, 생산계획량, 지정일자)
Author국립농산물품질관리원
URLhttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20181019000000000972

Alerts

등록 농가수 is highly overall correlated with 등록 필지수 and 2 other fieldsHigh correlation
등록 필지수 is highly overall correlated with 등록 농가수 and 2 other fieldsHigh correlation
재배면적 is highly overall correlated with 등록 농가수 and 2 other fieldsHigh correlation
생산계획량 is highly overall correlated with 등록 농가수 and 2 other fieldsHigh correlation

Reproduction

Analysis started2023-12-11 03:36:07.070310
Analysis finished2023-12-11 03:36:13.277184
Duration6.21 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

GAP인증번호
Real number (ℝ)

Distinct8963
Distinct (%)89.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1009242.6
Minimum1000003
Maximum1015474
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T12:36:13.373135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1000003
5-th percentile1002248.9
Q11006045.8
median1010102.5
Q31012525.2
95-th percentile1014900.1
Maximum1015474
Range15471
Interquartile range (IQR)6479.5

Descriptive statistics

Standard deviation3975.7005
Coefficient of variation (CV)0.0039392914
Kurtosis-0.90596797
Mean1009242.6
Median Absolute Deviation (MAD)3259.5
Skewness-0.34692504
Sum1.0092426 × 1010
Variance15806195
MonotonicityNot monotonic
2023-12-11T12:36:13.569773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1010267 2
 
< 0.1%
1002035 2
 
< 0.1%
1010304 2
 
< 0.1%
1005594 2
 
< 0.1%
1010502 2
 
< 0.1%
1010956 2
 
< 0.1%
1010103 2
 
< 0.1%
1010494 2
 
< 0.1%
1006193 2
 
< 0.1%
1010351 2
 
< 0.1%
Other values (8953) 9980
99.8%
ValueCountFrequency (%)
1000003 1
< 0.1%
1000029 1
< 0.1%
1000031 1
< 0.1%
1000032 1
< 0.1%
1000033 1
< 0.1%
1000034 1
< 0.1%
1000035 1
< 0.1%
1000041 1
< 0.1%
1000058 1
< 0.1%
1000061 1
< 0.1%
ValueCountFrequency (%)
1015474 1
< 0.1%
1015473 1
< 0.1%
1015470 1
< 0.1%
1015469 1
< 0.1%
1015467 1
< 0.1%
1015465 1
< 0.1%
1015464 1
< 0.1%
1015463 1
< 0.1%
1015461 1
< 0.1%
1015460 1
< 0.1%

인증기관
Text

Distinct64
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T12:36:13.845654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length11.4157
Min length6

Characters and Unicode

Total characters114157
Distinct characters137
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row주식회사 농식품인증관리원
2nd row글로벌유농인 영농조합법인
3rd row농협경제지주(주)식품연구원
4th row주식회사 농식품인증관리원
5th row(재)금산국제인삼약초연구소
ValueCountFrequency (%)
주식회사 2090
 
15.8%
농식품인증관리원 819
 
6.2%
농업법인플럼코트맘(주 702
 
5.3%
아이센(주 634
 
4.8%
경남과학기술대학교산학협력단 546
 
4.1%
산학협력단 541
 
4.1%
농협경제지주(주)식품연구원 426
 
3.2%
주)에버그린농우회 424
 
3.2%
농업회사법인(주)친환경농업연구원 409
 
3.1%
㈜비씨에스코리아 385
 
2.9%
Other values (61) 6267
47.3%
2023-12-11T12:36:14.229234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 7431
 
6.5%
농 6326
 
5.5%
) 5458
 
4.8%
( 5458
 
4.8%
인 5192
 
4.5%
회 4137
 
3.6%
식 3697
 
3.2%
사 3522
 
3.1%
3243
 
2.8%
학 3218
 
2.8%
Other values (127) 66475
58.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 99511
87.2%
Close Punctuation 5458
 
4.8%
Open Punctuation 5458
 
4.8%
Space Separator 3243
 
2.8%
Other Symbol 487
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 7431
 
7.5%
농 6326
 
6.4%
인 5192
 
5.2%
회 4137
 
4.2%
식 3697
 
3.7%
사 3522
 
3.5%
학 3218
 
3.2%
업 2774
 
2.8%
원 2728
 
2.7%
증 2350
 
2.4%
Other values (122) 58136
58.4%
Other Symbol
ValueCountFrequency (%)
㈜ 385
79.1%
㈔ 102
 
20.9%
Close Punctuation
ValueCountFrequency (%)
) 5458
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5458
100.0%
Space Separator
ValueCountFrequency (%)
3243
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 99998
87.6%
Common 14159
 
12.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 7431
 
7.4%
농 6326
 
6.3%
인 5192
 
5.2%
회 4137
 
4.1%
식 3697
 
3.7%
사 3522
 
3.5%
학 3218
 
3.2%
업 2774
 
2.8%
원 2728
 
2.7%
증 2350
 
2.4%
Other values (124) 58623
58.6%
Common
ValueCountFrequency (%)
) 5458
38.5%
( 5458
38.5%
3243
22.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 99511
87.2%
ASCII 14159
 
12.4%
None 487
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 7431
 
7.5%
농 6326
 
6.4%
인 5192
 
5.2%
회 4137
 
4.2%
식 3697
 
3.7%
사 3522
 
3.5%
학 3218
 
3.2%
업 2774
 
2.8%
원 2728
 
2.7%
증 2350
 
2.4%
Other values (122) 58136
58.4%
ASCII
ValueCountFrequency (%)
) 5458
38.5%
( 5458
38.5%
3243
22.9%
None
ValueCountFrequency (%)
㈜ 385
79.1%
㈔ 102
 
20.9%

개인/단체 구분명
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
개인
6558 
단체
2898 
법인
 
544

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row개인
2nd row개인
3rd row단체
4th row단체
5th row단체

Common Values

ValueCountFrequency (%)
개인 6558
65.6%
단체 2898
29.0%
법인 544
 
5.4%

Length

2023-12-11T12:36:14.413867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:36:14.528165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 6558
65.6%
단체 2898
29.0%
법인 544
 
5.4%

생산자단체명
Text

Distinct8491
Distinct (%)84.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T12:36:14.805562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length3
Mean length5.7463
Min length1

Characters and Unicode

Total characters57463
Distinct characters678
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7251 ?
Unique (%)72.5%

Sample

1st row이영학
2nd row김칠봉
3rd row주흘천연 사과작목반
4th row귀래복숭아작목반
5th rowGAP추부깻잎연구회
ValueCountFrequency (%)
작목반 185
 
1.6%
농업회사법인 131
 
1.1%
영농조합법인 76
 
0.7%
주식회사 53
 
0.5%
개인 50
 
0.4%
공선출하회 41
 
0.4%
문경오미자작목반 39
 
0.3%
공선회 36
 
0.3%
34
 
0.3%
사과작목반 26
 
0.2%
Other values (8746) 10932
94.2%
2023-12-11T12:36:15.282425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2401
 
4.2%
농 2127
 
3.7%
목 1682
 
2.9%
작 1668
 
2.9%
반 1539
 
2.7%
회 1308
 
2.3%
김 1241
 
2.2%
영 1127
 
2.0%
이 1084
 
1.9%
인 1065
 
1.9%
Other values (668) 42221
73.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 53243
92.7%
Space Separator 2401
 
4.2%
Uppercase Letter 861
 
1.5%
Open Punctuation 310
 
0.5%
Close Punctuation 310
 
0.5%
Decimal Number 213
 
0.4%
Other Punctuation 47
 
0.1%
Dash Punctuation 39
 
0.1%
Lowercase Letter 29
 
0.1%
Connector Punctuation 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 2127
 
4.0%
목 1682
 
3.2%
작 1668
 
3.1%
반 1539
 
2.9%
회 1308
 
2.5%
김 1241
 
2.3%
영 1127
 
2.1%
이 1084
 
2.0%
인 1065
 
2.0%
조 789
 
1.5%
Other values (618) 39613
74.4%
Uppercase Letter
ValueCountFrequency (%)
P 261
30.3%
A 258
30.0%
G 243
28.2%
C 24
 
2.8%
M 10
 
1.2%
B 9
 
1.0%
T 7
 
0.8%
F 6
 
0.7%
S 6
 
0.7%
D 6
 
0.7%
Other values (11) 31
 
3.6%
Decimal Number
ValueCountFrequency (%)
2 72
33.8%
1 70
32.9%
3 33
15.5%
4 18
 
8.5%
5 9
 
4.2%
7 4
 
1.9%
0 3
 
1.4%
6 3
 
1.4%
8 1
 
0.5%
Lowercase Letter
ValueCountFrequency (%)
a 6
20.7%
m 4
13.8%
n 4
13.8%
f 4
13.8%
r 4
13.8%
u 2
 
6.9%
y 2
 
6.9%
g 2
 
6.9%
s 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
, 23
48.9%
. 14
29.8%
& 9
 
19.1%
* 1
 
2.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 3
75.0%
Ⅰ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
2401
100.0%
Open Punctuation
ValueCountFrequency (%)
( 310
100.0%
Close Punctuation
ValueCountFrequency (%)
) 310
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 53240
92.7%
Common 3326
 
5.8%
Latin 894
 
1.6%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 2127
 
4.0%
목 1682
 
3.2%
작 1668
 
3.1%
반 1539
 
2.9%
회 1308
 
2.5%
김 1241
 
2.3%
영 1127
 
2.1%
이 1084
 
2.0%
인 1065
 
2.0%
조 789
 
1.5%
Other values (617) 39610
74.4%
Latin
ValueCountFrequency (%)
P 261
29.2%
A 258
28.9%
G 243
27.2%
C 24
 
2.7%
M 10
 
1.1%
B 9
 
1.0%
T 7
 
0.8%
F 6
 
0.7%
a 6
 
0.7%
S 6
 
0.7%
Other values (22) 64
 
7.2%
Common
ValueCountFrequency (%)
2401
72.2%
( 310
 
9.3%
) 310
 
9.3%
2 72
 
2.2%
1 70
 
2.1%
- 39
 
1.2%
3 33
 
1.0%
, 23
 
0.7%
4 18
 
0.5%
. 14
 
0.4%
Other values (8) 36
 
1.1%
Han
ValueCountFrequency (%)
愛 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 53240
92.7%
ASCII 4216
 
7.3%
Number Forms 4
 
< 0.1%
CJK 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2401
56.9%
( 310
 
7.4%
) 310
 
7.4%
P 261
 
6.2%
A 258
 
6.1%
G 243
 
5.8%
2 72
 
1.7%
1 70
 
1.7%
- 39
 
0.9%
3 33
 
0.8%
Other values (38) 219
 
5.2%
Hangul
ValueCountFrequency (%)
농 2127
 
4.0%
목 1682
 
3.2%
작 1668
 
3.1%
반 1539
 
2.9%
회 1308
 
2.5%
김 1241
 
2.3%
영 1127
 
2.1%
이 1084
 
2.0%
인 1065
 
2.0%
조 789
 
1.5%
Other values (617) 39610
74.4%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
75.0%
Ⅰ 1
 
25.0%
CJK
ValueCountFrequency (%)
愛 3
100.0%

유효기간 시작일
Date

Distinct907
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2017-03-01 00:00:00
Maximum2020-08-31 00:00:00
2023-12-11T12:36:15.462301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:15.639443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

유효기간 종료일
Date

Distinct946
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2020-02-29 00:00:00
Maximum2023-08-27 00:00:00
2023-12-11T12:36:15.777750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:15.922413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

품목
Text

Distinct323
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T12:36:16.231714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length2
Mean length2.48
Min length1

Characters and Unicode

Total characters24800
Distinct characters269
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique106 ?
Unique (%)1.1%

Sample

1st row벼
2nd row자두
3rd row사과
4th row복숭아
5th row깻잎
ValueCountFrequency (%)
사과 1132
 
11.3%
딸기 873
 
8.7%
배 602
 
6.0%
포도 599
 
6.0%
인삼 493
 
4.9%
복숭아 430
 
4.3%
단감 369
 
3.7%
토마토 310
 
3.1%
블루베리 264
 
2.6%
쌀 234
 
2.3%
Other values (311) 4701
47.0%
2023-12-11T12:36:16.669162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 1179
 
4.8%
사 1158
 
4.7%
토 1039
 
4.2%
기 1033
 
4.2%
딸 945
 
3.8%
감 740
 
3.0%
추 724
 
2.9%
배 671
 
2.7%
마 655
 
2.6%
도 629
 
2.5%
Other values (259) 16027
64.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24244
97.8%
Open Punctuation 259
 
1.0%
Close Punctuation 257
 
1.0%
Other Punctuation 29
 
0.1%
Space Separator 7
 
< 0.1%
Decimal Number 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 1179
 
4.9%
사 1158
 
4.8%
토 1039
 
4.3%
기 1033
 
4.3%
딸 945
 
3.9%
감 740
 
3.1%
추 724
 
3.0%
배 671
 
2.8%
마 655
 
2.7%
도 629
 
2.6%
Other values (253) 15471
63.8%
Decimal Number
ValueCountFrequency (%)
6 3
75.0%
5 1
 
25.0%
Open Punctuation
ValueCountFrequency (%)
( 259
100.0%
Close Punctuation
ValueCountFrequency (%)
) 257
100.0%
Other Punctuation
ValueCountFrequency (%)
, 29
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24244
97.8%
Common 556
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 1179
 
4.9%
사 1158
 
4.8%
토 1039
 
4.3%
기 1033
 
4.3%
딸 945
 
3.9%
감 740
 
3.1%
추 724
 
3.0%
배 671
 
2.8%
마 655
 
2.7%
도 629
 
2.6%
Other values (253) 15471
63.8%
Common
ValueCountFrequency (%)
( 259
46.6%
) 257
46.2%
, 29
 
5.2%
7
 
1.3%
6 3
 
0.5%
5 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24244
97.8%
ASCII 556
 
2.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 1179
 
4.9%
사 1158
 
4.8%
토 1039
 
4.3%
기 1033
 
4.3%
딸 945
 
3.9%
감 740
 
3.1%
추 724
 
3.0%
배 671
 
2.8%
마 655
 
2.7%
도 629
 
2.6%
Other values (253) 15471
63.8%
ASCII
ValueCountFrequency (%)
( 259
46.6%
) 257
46.2%
, 29
 
5.2%
7
 
1.3%
6 3
 
0.5%
5 1
 
0.2%

주소
Text

Distinct9689
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T12:36:17.015570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length54
Mean length23.1676
Min length13

Characters and Unicode

Total characters231676
Distinct characters651
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9437 ?
Unique (%)94.4%

Sample

1st row경기도 파주시 파평면 청송로266번길59
2nd row경상북도 의성군 안평면 창길2길6-1
3rd row경상북도 문경시 문경읍 이화령로54
4th row강원도 원주시 귀래면 고청길 138
5th row충청남도 금산군 추부면 미삭길92-5
ValueCountFrequency (%)
경상북도 1760
 
3.9%
경상남도 1750
 
3.9%
전라남도 1234
 
2.7%
경기도 1216
 
2.7%
충청남도 1172
 
2.6%
전라북도 941
 
2.1%
충청북도 828
 
1.8%
강원도 480
 
1.1%
금산군 425
 
0.9%
나주시 381
 
0.8%
Other values (13776) 34938
77.4%
2023-12-11T12:36:17.523041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
35218
 
15.2%
도 10204
 
4.4%
1 9350
 
4.0%
길 6962
 
3.0%
면 6821
 
2.9%
2 5887
 
2.5%
시 5860
 
2.5%
남 5283
 
2.3%
경 5239
 
2.3%
- 4938
 
2.1%
Other values (641) 135914
58.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 145735
62.9%
Decimal Number 41730
 
18.0%
Space Separator 35218
 
15.2%
Dash Punctuation 4938
 
2.1%
Open Punctuation 1742
 
0.8%
Close Punctuation 1727
 
0.7%
Other Punctuation 421
 
0.2%
Uppercase Letter 119
 
0.1%
Lowercase Letter 38
 
< 0.1%
Connector Punctuation 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 10204
 
7.0%
길 6962
 
4.8%
면 6821
 
4.7%
시 5860
 
4.0%
남 5283
 
3.6%
경 5239
 
3.6%
로 4648
 
3.2%
군 4625
 
3.2%
북 4246
 
2.9%
상 4079
 
2.8%
Other values (593) 87768
60.2%
Uppercase Letter
ValueCountFrequency (%)
A 28
23.5%
B 20
16.8%
P 15
12.6%
T 15
12.6%
M 5
 
4.2%
R 5
 
4.2%
I 5
 
4.2%
H 5
 
4.2%
E 4
 
3.4%
L 4
 
3.4%
Other values (7) 13
10.9%
Lowercase Letter
ValueCountFrequency (%)
e 11
28.9%
s 5
13.2%
h 4
 
10.5%
o 4
 
10.5%
a 3
 
7.9%
l 2
 
5.3%
d 2
 
5.3%
m 2
 
5.3%
u 2
 
5.3%
t 2
 
5.3%
Decimal Number
ValueCountFrequency (%)
1 9350
22.4%
2 5887
14.1%
3 4500
10.8%
0 3886
9.3%
4 3816
9.1%
5 3488
 
8.4%
6 3066
 
7.3%
7 2807
 
6.7%
8 2536
 
6.1%
9 2394
 
5.7%
Other Punctuation
ValueCountFrequency (%)
， 291
69.1%
, 111
 
26.4%
/ 12
 
2.9%
. 6
 
1.4%
: 1
 
0.2%
Space Separator
ValueCountFrequency (%)
35218
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4938
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1742
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1727
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 145735
62.9%
Common 85784
37.0%
Latin 157
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 10204
 
7.0%
길 6962
 
4.8%
면 6821
 
4.7%
시 5860
 
4.0%
남 5283
 
3.6%
경 5239
 
3.6%
로 4648
 
3.2%
군 4625
 
3.2%
북 4246
 
2.9%
상 4079
 
2.8%
Other values (593) 87768
60.2%
Latin
ValueCountFrequency (%)
A 28
17.8%
B 20
12.7%
P 15
 
9.6%
T 15
 
9.6%
e 11
 
7.0%
M 5
 
3.2%
R 5
 
3.2%
I 5
 
3.2%
H 5
 
3.2%
s 5
 
3.2%
Other values (18) 43
27.4%
Common
ValueCountFrequency (%)
35218
41.1%
1 9350
 
10.9%
2 5887
 
6.9%
- 4938
 
5.8%
3 4500
 
5.2%
0 3886
 
4.5%
4 3816
 
4.4%
5 3488
 
4.1%
6 3066
 
3.6%
7 2807
 
3.3%
Other values (10) 8828
 
10.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 145735
62.9%
ASCII 85650
37.0%
None 291
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
35218
41.1%
1 9350
 
10.9%
2 5887
 
6.9%
- 4938
 
5.8%
3 4500
 
5.3%
0 3886
 
4.5%
4 3816
 
4.5%
5 3488
 
4.1%
6 3066
 
3.6%
7 2807
 
3.3%
Other values (37) 8694
 
10.2%
Hangul
ValueCountFrequency (%)
도 10204
 
7.0%
길 6962
 
4.8%
면 6821
 
4.7%
시 5860
 
4.0%
남 5283
 
3.6%
경 5239
 
3.6%
로 4648
 
3.2%
군 4625
 
3.2%
북 4246
 
2.9%
상 4079
 
2.8%
Other values (593) 87768
60.2%
None
ValueCountFrequency (%)
， 291
100.0%

등록 농가수
Real number (ℝ)

HIGH CORRELATION 

Distinct217
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.7253
Minimum1
Maximum1090
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T12:36:17.687065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q37
95-th percentile44
Maximum1090
Range1089
Interquartile range (IQR)6

Descriptive statistics

Standard deviation41.789679
Coefficient of variation (CV)3.8963646
Kurtosis282.42599
Mean10.7253
Median Absolute Deviation (MAD)0
Skewness14.243315
Sum107253
Variance1746.3773
MonotonicityNot monotonic
2023-12-11T12:36:17.853658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 6880
68.8%
10 148
 
1.5%
7 140
 
1.4%
8 126
 
1.3%
5 122
 
1.2%
9 118
 
1.2%
2 116
 
1.2%
11 115
 
1.1%
12 107
 
1.1%
6 107
 
1.1%
Other values (207) 2021
 
20.2%
ValueCountFrequency (%)
1 6880
68.8%
2 116
 
1.2%
3 101
 
1.0%
4 107
 
1.1%
5 122
 
1.2%
6 107
 
1.1%
7 140
 
1.4%
8 126
 
1.3%
9 118
 
1.2%
10 148
 
1.5%
ValueCountFrequency (%)
1090 1
< 0.1%
1065 1
< 0.1%
1024 1
< 0.1%
1015 1
< 0.1%
971 1
< 0.1%
920 1
< 0.1%
844 1
< 0.1%
826 1
< 0.1%
822 1
< 0.1%
762 1
< 0.1%

등록 필지수
Real number (ℝ)

HIGH CORRELATION 

Distinct544
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.9187
Minimum1
Maximum9716
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T12:36:17.995315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median6
Q328
95-th percentile199.1
Maximum9716
Range9715
Interquartile range (IQR)26

Descriptive statistics

Standard deviation255.89622
Coefficient of variation (CV)4.8356483
Kurtosis521.3266
Mean52.9187
Median Absolute Deviation (MAD)5
Skewness18.68913
Sum529187
Variance65482.876
MonotonicityNot monotonic
2023-12-11T12:36:18.125906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 1318
 
13.2%
1 1274
 
12.7%
3 868
 
8.7%
4 776
 
7.8%
5 550
 
5.5%
6 451
 
4.5%
7 326
 
3.3%
8 254
 
2.5%
9 245
 
2.5%
10 172
 
1.7%
Other values (534) 3766
37.7%
ValueCountFrequency (%)
1 1274
12.7%
2 1318
13.2%
3 868
8.7%
4 776
7.8%
5 550
5.5%
6 451
 
4.5%
7 326
 
3.3%
8 254
 
2.5%
9 245
 
2.5%
10 172
 
1.7%
ValueCountFrequency (%)
9716 1
< 0.1%
9655 1
< 0.1%
5756 1
< 0.1%
5217 1
< 0.1%
4675 1
< 0.1%
4632 1
< 0.1%
4504 1
< 0.1%
4378 1
< 0.1%
4217 1
< 0.1%
4192 1
< 0.1%

재배면적
Real number (ℝ)

HIGH CORRELATION 

Distinct8052
Distinct (%)80.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean119614.57
Minimum11.55
Maximum18549385
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T12:36:18.249234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11.55
5-th percentile1499.8
Q14712.5
median11649
Q355115
95-th percentile438730.64
Maximum18549385
Range18549373
Interquartile range (IQR)50402.5

Descriptive statistics

Standard deviation605419.22
Coefficient of variation (CV)5.0614171
Kurtosis354.25937
Mean119614.57
Median Absolute Deviation (MAD)8999
Skewness16.298385
Sum1.1961457 × 109
Variance3.6653243 × 1011
MonotonicityNot monotonic
2023-12-11T12:36:18.380865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3300.0 43
 
0.4%
3000.0 30
 
0.3%
2000.0 27
 
0.3%
1980.0 24
 
0.2%
660.0 20
 
0.2%
3960.0 20
 
0.2%
1000.0 20
 
0.2%
6600.0 19
 
0.2%
1500.0 15
 
0.1%
990.0 14
 
0.1%
Other values (8042) 9768
97.7%
ValueCountFrequency (%)
11.55 1
< 0.1%
28.0 1
< 0.1%
32.0 1
< 0.1%
33.0 1
< 0.1%
40.0 1
< 0.1%
50.0 1
< 0.1%
65.0 1
< 0.1%
69.0 1
< 0.1%
92.16 1
< 0.1%
99.0 2
< 0.1%
ValueCountFrequency (%)
18549384.78 1
< 0.1%
18034733.0 1
< 0.1%
14955303.9 1
< 0.1%
13760099.0 1
< 0.1%
13241677.1 1
< 0.1%
13035347.0 1
< 0.1%
12978464.0 1
< 0.1%
12499874.9 1
< 0.1%
10963909.9 1
< 0.1%
9914526.7 1
< 0.1%

생산계획량
Real number (ℝ)

HIGH CORRELATION 

Distinct4567
Distinct (%)45.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean244.94929
Minimum0
Maximum48450
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T12:36:18.524531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q19
median30
Q3139.9775
95-th percentile1014.9585
Maximum48450
Range48450
Interquartile range (IQR)130.9775

Descriptive statistics

Standard deviation997.07172
Coefficient of variation (CV)4.0705231
Kurtosis639.44299
Mean244.94929
Median Absolute Deviation (MAD)26
Skewness18.500428
Sum2449492.9
Variance994152.02
MonotonicityNot monotonic
2023-12-11T12:36:18.945278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.0 218
 
2.2%
3.0 169
 
1.7%
20.0 156
 
1.6%
15.0 145
 
1.5%
6.0 141
 
1.4%
5.0 141
 
1.4%
4.0 136
 
1.4%
8.0 124
 
1.2%
2.0 123
 
1.2%
30.0 97
 
1.0%
Other values (4557) 8550
85.5%
ValueCountFrequency (%)
0.0 1
 
< 0.1%
0.01 5
0.1%
0.06 1
 
< 0.1%
0.07 1
 
< 0.1%
0.1 8
0.1%
0.13 1
 
< 0.1%
0.14 1
 
< 0.1%
0.15 1
 
< 0.1%
0.17 2
 
< 0.1%
0.2 3
 
< 0.1%
ValueCountFrequency (%)
48450.0 1
< 0.1%
19900.742 1
< 0.1%
18200.0 1
< 0.1%
17977.64 1
< 0.1%
16900.82744 1
< 0.1%
16600.0 1
< 0.1%
15455.57 1
< 0.1%
14698.0 1
< 0.1%
13372.2 1
< 0.1%
13316.8 1
< 0.1%

지정일자
Date

Distinct910
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2016-04-01 00:00:00
Maximum2020-08-31 00:00:00
2023-12-11T12:36:19.096337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:19.246707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-11T12:36:11.816677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:09.146612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:09.780570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:10.468790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:11.115566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:11.947731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:09.277930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:09.932388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:10.598457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:11.282732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:12.090329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:09.381798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:10.052228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:10.704729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:11.437334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:12.213106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:09.507888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:10.205110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:10.841763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:11.562785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:12.649520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:09.640270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:10.341921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:10.987561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:11.686031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T12:36:19.363663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
GAP인증번호인증기관개인/단체 구분명등록 농가수등록 필지수재배면적생산계획량
GAP인증번호1.0000.5990.2590.1660.1030.1950.079
인증기관0.5991.0000.5440.1990.2250.2180.383
개인/단체 구분명0.2590.5441.0000.2070.1340.1610.159
등록 농가수0.1660.1990.2071.0000.8060.9080.575
등록 필지수0.1030.2250.1340.8061.0000.9210.441
재배면적0.1950.2180.1610.9080.9211.0000.583
생산계획량0.0790.3830.1590.5750.4410.5831.000
2023-12-11T12:36:19.488229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
GAP인증번호등록 농가수등록 필지수재배면적생산계획량개인/단체 구분명
GAP인증번호1.000-0.188-0.175-0.216-0.2200.159
등록 농가수-0.1881.0000.7770.7620.6780.126
등록 필지수-0.1750.7771.0000.8730.7200.090
재배면적-0.2160.7620.8731.0000.7770.097
생산계획량-0.2200.6780.7200.7771.0000.066
개인/단체 구분명0.1590.1260.0900.0970.0661.000

Missing values

2023-12-11T12:36:12.851662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T12:36:13.153068image/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

GAP인증번호인증기관개인/단체 구분명생산자단체명유효기간 시작일유효기간 종료일품목주소등록 농가수등록 필지수재배면적생산계획량지정일자
50231013342주식회사 농식품인증관리원개인이영학2019-09-042021-09-03벼경기도 파주시 파평면 청송로266번길5914978453.060.02019-09-04
114761005514글로벌유농인 영농조합법인개인김칠봉2018-03-312020-03-30자두경상북도 의성군 안평면 창길2길6-1188410.017.22018-03-31
100851002203농협경제지주(주)식품연구원단체주흘천연 사과작목반2018-08-092020-08-08사과경상북도 문경시 문경읍 이화령로541768161706.0298.022018-08-09
3311002243주식회사 농식품인증관리원단체귀래복숭아작목반2020-08-182022-08-17복숭아강원도 원주시 귀래면 고청길 1382070124046.0124.62020-08-18
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