Overview

Dataset statistics

Number of variables5
Number of observations994
Missing cells4
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory39.9 KiB
Average record size in memory41.1 B

Variable types

Numeric1
Text2
Categorical1
DateTime1

Dataset

Description국립농산물품질관리원에서 관리하는 농산물우수관리(GAP) 시설정보(지정번호, 관리시설명칭, 운영구분, 소재지, 지정일자)
Author국립농산물품질관리원
URLhttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20181019000000000973

Reproduction

Analysis started2024-03-23 07:40:49.345668
Analysis finished2024-03-23 07:40:51.237125
Duration1.89 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지정번호
Real number (ℝ)

Distinct993
Distinct (%)100.0%
Missing1
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean10904.397
Minimum10001
Maximum11522
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-03-23T07:40:51.422541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10001
5-th percentile10092.6
Q110550
median11014
Q311271
95-th percentile11472.4
Maximum11522
Range1521
Interquartile range (IQR)721

Descriptive statistics

Standard deviation437.9211
Coefficient of variation (CV)0.040160048
Kurtosis-0.94976584
Mean10904.397
Median Absolute Deviation (MAD)318
Skewness-0.49677071
Sum10828066
Variance191774.89
MonotonicityStrictly increasing
2024-03-23T07:40:52.028389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10001 1
 
0.1%
11194 1
 
0.1%
11181 1
 
0.1%
11182 1
 
0.1%
11183 1
 
0.1%
11184 1
 
0.1%
11185 1
 
0.1%
11186 1
 
0.1%
11187 1
 
0.1%
11188 1
 
0.1%
Other values (983) 983
98.9%
ValueCountFrequency (%)
10001 1
0.1%
10002 1
0.1%
10003 1
0.1%
10004 1
0.1%
10005 1
0.1%
10006 1
0.1%
10010 1
0.1%
10012 1
0.1%
10014 1
0.1%
10015 1
0.1%
ValueCountFrequency (%)
11522 1
0.1%
11521 1
0.1%
11520 1
0.1%
11519 1
0.1%
11518 1
0.1%
11517 1
0.1%
11516 1
0.1%
11515 1
0.1%
11514 1
0.1%
11513 1
0.1%

관리시설명
Text

Distinct988
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2024-03-23T07:40:52.476050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length23
Mean length12.914487
Min length3

Characters and Unicode

Total characters12837
Distinct characters431
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

Unique983 ?
Unique (%)98.9%

Sample

1st row율곡농협첫눈에반한딸기APC
2nd row장호원농협 청과물종합유통센터
3rd row수원지구원예농협 산지유통센터
4th row노성농협농산물산지유통센터
5th row양촌농협 농산물산지유통센터
ValueCountFrequency (%)
농업회사법인 69
 
4.3%
농산물산지유통센터 50
 
3.1%
산지유통센터 48
 
3.0%
주식회사 44
 
2.7%
영농조합법인 31
 
1.9%
미곡종합처리장 16
 
1.0%
농산물유통센터 15
 
0.9%
apc 14
 
0.9%
유통센터 12
 
0.7%
농산물 12
 
0.7%
Other values (1178) 1302
80.7%
2024-03-23T07:40:53.469404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
농 1025
 
8.0%
746
 
5.8%
산 523
 
4.1%
협 487
 
3.8%
합 383
 
3.0%
인 381
 
3.0%
센 360
 
2.8%
유 354
 
2.8%
법 353
 
2.7%
통 350
 
2.7%
Other values (421) 7875
61.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11483
89.5%
Space Separator 746
 
5.8%
Uppercase Letter 315
 
2.5%
Close Punctuation 132
 
1.0%
Open Punctuation 132
 
1.0%
Decimal Number 24
 
0.2%
Dash Punctuation 2
 
< 0.1%
Other Punctuation 2
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 1025
 
8.9%
산 523
 
4.6%
협 487
 
4.2%
합 383
 
3.3%
인 381
 
3.3%
센 360
 
3.1%
유 354
 
3.1%
법 353
 
3.1%
통 350
 
3.0%
터 341
 
3.0%
Other values (389) 6926
60.3%
Uppercase Letter
ValueCountFrequency (%)
P 99
31.4%
C 75
23.8%
A 71
22.5%
R 28
 
8.9%
G 27
 
8.6%
S 4
 
1.3%
D 2
 
0.6%
H 1
 
0.3%
M 1
 
0.3%
J 1
 
0.3%
Other values (6) 6
 
1.9%
Decimal Number
ValueCountFrequency (%)
2 8
33.3%
1 4
16.7%
7 2
 
8.3%
0 2
 
8.3%
4 2
 
8.3%
3 2
 
8.3%
8 1
 
4.2%
6 1
 
4.2%
5 1
 
4.2%
9 1
 
4.2%
Space Separator
ValueCountFrequency (%)
746
100.0%
Close Punctuation
ValueCountFrequency (%)
) 132
100.0%
Open Punctuation
ValueCountFrequency (%)
( 132
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11484
89.5%
Common 1038
 
8.1%
Latin 315
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 1025
 
8.9%
산 523
 
4.6%
협 487
 
4.2%
합 383
 
3.3%
인 381
 
3.3%
센 360
 
3.1%
유 354
 
3.1%
법 353
 
3.1%
통 350
 
3.0%
터 341
 
3.0%
Other values (390) 6927
60.3%
Latin
ValueCountFrequency (%)
P 99
31.4%
C 75
23.8%
A 71
22.5%
R 28
 
8.9%
G 27
 
8.6%
S 4
 
1.3%
D 2
 
0.6%
H 1
 
0.3%
M 1
 
0.3%
J 1
 
0.3%
Other values (6) 6
 
1.9%
Common
ValueCountFrequency (%)
746
71.9%
) 132
 
12.7%
( 132
 
12.7%
2 8
 
0.8%
1 4
 
0.4%
7 2
 
0.2%
- 2
 
0.2%
0 2
 
0.2%
4 2
 
0.2%
3 2
 
0.2%
Other values (5) 6
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11483
89.5%
ASCII 1353
 
10.5%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
농 1025
 
8.9%
산 523
 
4.6%
협 487
 
4.2%
합 383
 
3.3%
인 381
 
3.3%
센 360
 
3.1%
유 354
 
3.1%
법 353
 
3.1%
통 350
 
3.0%
터 341
 
3.0%
Other values (389) 6926
60.3%
ASCII
ValueCountFrequency (%)
746
55.1%
) 132
 
9.8%
( 132
 
9.8%
P 99
 
7.3%
C 75
 
5.5%
A 71
 
5.2%
R 28
 
2.1%
G 27
 
2.0%
2 8
 
0.6%
S 4
 
0.3%
Other values (21) 31
 
2.3%
None
ValueCountFrequency (%)
㈜ 1
100.0%

운영구분
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
APC
410 
기타
387 
RPC
196 
<NA>
 
1

Length

Max length4
Median length3
Mean length2.61167
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowAPC
2nd rowAPC
3rd rowAPC
4th row기타
5th rowAPC

Common Values

ValueCountFrequency (%)
APC 410
41.2%
기타 387
38.9%
RPC 196
19.7%
<NA> 1
 
0.1%

Length

2024-03-23T07:40:53.897570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:40:54.181844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
apc 410
41.2%
기타 387
38.9%
rpc 196
19.7%
na 1
 
0.1%

소재지
Text

Distinct919
Distinct (%)92.5%
Missing1
Missing (%)0.1%
Memory size7.9 KiB
2024-03-23T07:40:54.747785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length26
Mean length16.827795
Min length11

Characters and Unicode

Total characters16710
Distinct characters337
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

Unique852 ?
Unique (%)85.8%

Sample

1st row경상남도 합천군 율곡면 제내항곡길
2nd row경기도 이천시 장호원읍 서동대로
3rd row경기도 화성시 팔탄면 노하길470번길
4th row충청남도 논산시 노성면 노성로
5th row충청남도 논산시 양촌면 황산벌로
ValueCountFrequency (%)
경상북도 202
 
5.1%
경기도 140
 
3.6%
전라남도 129
 
3.3%
전라북도 102
 
2.6%
경상남도 102
 
2.6%
충청남도 99
 
2.5%
충청북도 79
 
2.0%
강원도 55
 
1.4%
제주특별자치도 49
 
1.2%
상주시 28
 
0.7%
Other values (1563) 2940
74.9%
2024-03-23T07:40:55.826186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2932
 
17.5%
도 1009
 
6.0%
로 727
 
4.4%
면 621
 
3.7%
시 612
 
3.7%
경 486
 
2.9%
남 485
 
2.9%
북 461
 
2.8%
군 430
 
2.6%
상 367
 
2.2%
Other values (327) 8580
51.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13459
80.5%
Space Separator 2932
 
17.5%
Decimal Number 318
 
1.9%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 1009
 
7.5%
로 727
 
5.4%
면 621
 
4.6%
시 612
 
4.5%
경 486
 
3.6%
남 485
 
3.6%
북 461
 
3.4%
군 430
 
3.2%
상 367
 
2.7%
길 364
 
2.7%
Other values (315) 7897
58.7%
Decimal Number
ValueCountFrequency (%)
1 73
23.0%
2 49
15.4%
3 39
12.3%
4 33
10.4%
6 30
9.4%
0 23
 
7.2%
7 20
 
6.3%
5 19
 
6.0%
8 19
 
6.0%
9 13
 
4.1%
Space Separator
ValueCountFrequency (%)
2932
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13459
80.5%
Common 3251
 
19.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 1009
 
7.5%
로 727
 
5.4%
면 621
 
4.6%
시 612
 
4.5%
경 486
 
3.6%
남 485
 
3.6%
북 461
 
3.4%
군 430
 
3.2%
상 367
 
2.7%
길 364
 
2.7%
Other values (315) 7897
58.7%
Common
ValueCountFrequency (%)
2932
90.2%
1 73
 
2.2%
2 49
 
1.5%
3 39
 
1.2%
4 33
 
1.0%
6 30
 
0.9%
0 23
 
0.7%
7 20
 
0.6%
5 19
 
0.6%
8 19
 
0.6%
Other values (2) 14
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13459
80.5%
ASCII 3251
 
19.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2932
90.2%
1 73
 
2.2%
2 49
 
1.5%
3 39
 
1.2%
4 33
 
1.0%
6 30
 
0.9%
0 23
 
0.7%
7 20
 
0.6%
5 19
 
0.6%
8 19
 
0.6%
Other values (2) 14
 
0.4%
Hangul
ValueCountFrequency (%)
도 1009
 
7.5%
로 727
 
5.4%
면 621
 
4.6%
시 612
 
4.5%
경 486
 
3.6%
남 485
 
3.6%
북 461
 
3.4%
군 430
 
3.2%
상 367
 
2.7%
길 364
 
2.7%
Other values (315) 7897
58.7%

지정일자
Date

Distinct539
Distinct (%)54.3%
Missing2
Missing (%)0.2%
Memory size7.9 KiB
Minimum2017-09-24 00:00:00
Maximum2022-09-20 00:00:00
2024-03-23T07:40:56.086076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:40:56.354510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2024-03-23T07:40:50.278527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T07:40:56.604653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정번호운영구분
지정번호1.0000.307
운영구분0.3071.000
2024-03-23T07:40:56.836550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정번호운영구분
지정번호1.0000.193
운영구분0.1931.000

Missing values

2024-03-23T07:40:50.641471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T07:40:50.953879image/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.
2024-03-23T07:40:51.134197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

지정번호관리시설명운영구분소재지지정일자
010001율곡농협첫눈에반한딸기APCAPC경상남도 합천군 율곡면 제내항곡길2019-12-10
110002장호원농협 청과물종합유통센터APC경기도 이천시 장호원읍 서동대로2019-12-10
210003수원지구원예농협 산지유통센터APC경기도 화성시 팔탄면 노하길470번길2019-12-10
310004노성농협농산물산지유통센터기타충청남도 논산시 노성면 노성로2019-12-10
410005양촌농협 농산물산지유통센터APC충청남도 논산시 양촌면 황산벌로2019-12-10
510006동읍농협산지유통센터APC경상남도 창원시 의창구 동읍 동읍로2019-12-10
610010봉황농협과실종합유통센터APC전라남도 나주시 봉황면 봉황로2019-12-10
710012봉산농협농산물유통센터기타전라남도 담양군 봉산면 신학길2019-12-10
810014평동농협산지유통센터APC광주광역시 광산구 평동로800번길2019-12-10
910015화원농협김치공장기타전라남도 해남군 화원면 관광레저로2019-12-10
지정번호관리시설명운영구분소재지지정일자
98411513농업회사법인주식회사 충서APC충청남도 서산시 음암면 음암로2022-07-26
98511514담양군농협쌀조합공동사업법인RPC전라남도 담양군 봉산면 한수동로2022-07-26
98611515주식회사 남선상사기타충청북도 청주시 흥덕구 강내면 서부로2022-08-03
98711516농업회사법인 주식회사 오감 GAP 시설APC강원도 평창군 진부면 진부중앙로2022-08-09
98811517부북농협 농산물산지유통센터APC경상남도 밀양시 부북면 부북로2022-08-12
98911518에이플공선출하회 영농조합법인기타경상북도 상주시 모동면 대가산로2022-08-16
99011519신화도정공장기타전라북도 김제시 황산로2022-08-19
99111520주촌농협 파프리카 산지유통센터(APC)APC경상남도 김해시 주촌면 서부로1430번길2022-09-02
99211521만인산농협 거점스마트 APCAPC충청남도 금산군 추부면 서대산로2022-09-15
99311522용정산업도정공장기타전라남도 해남군 해남읍 용머리길2022-09-19