Overview

Dataset statistics

Number of variables4
Number of observations974
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory31.5 KiB
Average record size in memory33.1 B

Variable types

Numeric1
Categorical1
Text1
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

Alerts

지정번호 has unique valuesUnique

Reproduction

Analysis started2024-03-23 07:41:07.452517
Analysis finished2024-03-23 07:41:08.797740
Duration1.35 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지정번호
Real number (ℝ)

UNIQUE 

Distinct974
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10881.057
Minimum10001
Maximum11488
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.7 KiB
2024-03-23T07:41:08.937202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10001
5-th percentile10091.65
Q110539.25
median10971.5
Q311242.75
95-th percentile11439.35
Maximum11488
Range1487
Interquartile range (IQR)703.5

Descriptive statistics

Standard deviation428.47259
Coefficient of variation (CV)0.039377845
Kurtosis-0.97184085
Mean10881.057
Median Absolute Deviation (MAD)325
Skewness-0.47588183
Sum10598150
Variance183588.76
MonotonicityStrictly increasing
2024-03-23T07:41:09.602061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10001 1
 
0.1%
11183 1
 
0.1%
11155 1
 
0.1%
11156 1
 
0.1%
11157 1
 
0.1%
11158 1
 
0.1%
11159 1
 
0.1%
11160 1
 
0.1%
11161 1
 
0.1%
11162 1
 
0.1%
Other values (964) 964
99.0%
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 (%)
11488 1
0.1%
11487 1
0.1%
11486 1
0.1%
11485 1
0.1%
11484 1
0.1%
11483 1
0.1%
11482 1
0.1%
11481 1
0.1%
11480 1
0.1%
11479 1
0.1%

운영구분
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
APC
400 
기타
382 
RPC
192 

Length

Max length3
Median length3
Mean length2.6078029
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
APC 400
41.1%
기타 382
39.2%
RPC 192
19.7%

Length

2024-03-23T07:41:10.194867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:41:10.542221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
apc 400
41.1%
기타 382
39.2%
rpc 192
19.7%

소재지
Text

Distinct901
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
2024-03-23T07:41:11.126729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length26
Mean length16.836756
Min length11

Characters and Unicode

Total characters16399
Distinct characters339
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique835 ?
Unique (%)85.7%

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 198
 
5.1%
경기도 138
 
3.6%
전라남도 125
 
3.2%
경상남도 104
 
2.7%
전라북도 98
 
2.5%
충청남도 96
 
2.5%
충청북도 77
 
2.0%
강원도 54
 
1.4%
제주특별자치도 48
 
1.2%
상주시 26
 
0.7%
Other values (1541) 2887
75.0%
2024-03-23T07:41:12.315014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2877
 
17.5%
도 989
 
6.0%
로 710
 
4.3%
면 609
 
3.7%
시 599
 
3.7%
경 480
 
2.9%
남 470
 
2.9%
북 451
 
2.8%
군 422
 
2.6%
길 362
 
2.2%
Other values (329) 8430
51.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13207
80.5%
Space Separator 2877
 
17.5%
Decimal Number 313
 
1.9%
Dash Punctuation 1
 
< 0.1%
Control 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 989
 
7.5%
로 710
 
5.4%
면 609
 
4.6%
시 599
 
4.5%
경 480
 
3.6%
남 470
 
3.6%
북 451
 
3.4%
군 422
 
3.2%
길 362
 
2.7%
상 361
 
2.7%
Other values (316) 7754
58.7%
Decimal Number
ValueCountFrequency (%)
1 72
23.0%
2 49
15.7%
3 37
11.8%
4 33
10.5%
6 30
9.6%
0 22
 
7.0%
5 19
 
6.1%
8 19
 
6.1%
7 19
 
6.1%
9 13
 
4.2%
Space Separator
ValueCountFrequency (%)
2877
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13207
80.5%
Common 3192
 
19.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 989
 
7.5%
로 710
 
5.4%
면 609
 
4.6%
시 599
 
4.5%
경 480
 
3.6%
남 470
 
3.6%
북 451
 
3.4%
군 422
 
3.2%
길 362
 
2.7%
상 361
 
2.7%
Other values (316) 7754
58.7%
Common
ValueCountFrequency (%)
2877
90.1%
1 72
 
2.3%
2 49
 
1.5%
3 37
 
1.2%
4 33
 
1.0%
6 30
 
0.9%
0 22
 
0.7%
5 19
 
0.6%
8 19
 
0.6%
7 19
 
0.6%
Other values (3) 15
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13207
80.5%
ASCII 3192
 
19.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2877
90.1%
1 72
 
2.3%
2 49
 
1.5%
3 37
 
1.2%
4 33
 
1.0%
6 30
 
0.9%
0 22
 
0.7%
5 19
 
0.6%
8 19
 
0.6%
7 19
 
0.6%
Other values (3) 15
 
0.5%
Hangul
ValueCountFrequency (%)
도 989
 
7.5%
로 710
 
5.4%
면 609
 
4.6%
시 599
 
4.5%
경 480
 
3.6%
남 470
 
3.6%
북 451
 
3.4%
군 422
 
3.2%
길 362
 
2.7%
상 361
 
2.7%
Other values (316) 7754
58.7%

지정일자
Date

Distinct526
Distinct (%)54.0%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
Minimum2017-05-04 00:00:00
Maximum2022-05-02 00:00:00
2024-03-23T07:41:12.948959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:41:13.449595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2024-03-23T07:41:08.082366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T07:41:13.774646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정번호운영구분
지정번호1.0000.297
운영구분0.2971.000
2024-03-23T07:41:13.977532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정번호운영구분
지정번호1.0000.186
운영구분0.1861.000

Missing values

2024-03-23T07:41:08.497550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T07:41:08.736178image/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

지정번호운영구분소재지지정일자
010001APC경상남도 합천군 율곡면 제내항곡길2019-12-10
110002APC경기도 이천시 장호원읍 서동대로2019-12-10
210003APC경기도 화성시 팔탄면 노하길470번길2019-12-10
310004기타충청남도 논산시 노성면 노성로2019-12-10
410005APC충청남도 논산시 양촌면 황산벌로2019-12-10
510006APC경상남도 창원시 의창구 동읍 동읍로2019-12-10
610010APC전라남도 나주시 봉황면 봉황로2019-12-10
710012기타전라남도 담양군 봉산면 신학길2019-12-10
810014APC광주광역시 광산구 평동로800번길2019-12-10
910015기타전라남도 해남군 화원면 관광레저로2019-12-10
지정번호운영구분소재지지정일자
96411479기타경기도 고양시 일산동구 장진천길2022-03-24
96511480RPC전라북도 군산시 임피면 남산로2022-03-24
96611481RPC전라북도 익산시 함열읍 익산대로2022-03-24
96711482기타경상남도 창원시 의창구 동읍 가술산남로2022-03-31
96811483기타경상남도 거창군 위천면 원학길2022-04-04
96911484기타경기도 파주시 소라지로2022-04-18
97011485기타전라북도 군산시 성산면 산곡2길2022-04-20
97111486APC경상북도 청도군 화양읍 학산토평길2022-04-26
97211487기타경기도 파주시 월롱면 월롱초교길2022-04-26
97311488기타대구광역시 북구 한강로8길2022-05-02