Overview

Dataset statistics

Number of variables17
Number of observations839
Missing cells5528
Missing cells (%)38.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory114.0 KiB
Average record size in memory139.2 B

Variable types

Text9
DateTime4
Unsupported1
Numeric1
Categorical2

Dataset

Description로컬푸드 인증 정보 현황(제공표준)
Author고양시
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=VCZI15SH23N8KDSNG4NC26001488&infSeq=1

Alerts

재배규모 is highly overall correlated with 재배면적 and 1 other fieldsHigh correlation
관리기관명 is highly overall correlated with 재배면적 and 1 other fieldsHigh correlation
재배면적 is highly overall correlated with 재배규모 and 1 other fieldsHigh correlation
재배규모 is highly imbalanced (97.4%)Imbalance
관리기관명 is highly imbalanced (55.5%)Imbalance
인증취소일자 has 839 (100.0%) missing valuesMissing
사업장도로명주소 has 821 (97.9%) missing valuesMissing
사업장지번주소 has 731 (87.1%) missing valuesMissing
생산지도로명주소 has 65 (7.7%) missing valuesMissing
생산지지번주소 has 682 (81.3%) missing valuesMissing
재배면적 has 726 (86.5%) missing valuesMissing
사업자등록번호 has 832 (99.2%) missing valuesMissing
전화번호 has 832 (99.2%) missing valuesMissing
인증취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-11 02:13:38.182513
Analysis finished2024-04-11 02:13:40.873692
Duration2.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

로컬푸드인증번호
Text

Distinct826
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
2024-04-11T11:13:41.036843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.606675
Min length9

Characters and Unicode

Total characters9738
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique813 ?
Unique (%)96.9%

Sample

1st row2022-02-0006
2nd row2022-05-0022
3rd row2022-05-0023
4th row2022-02-0007
5th row2022-04-0002
ValueCountFrequency (%)
2022-01-0003 2
 
0.2%
2023-01-0003 2
 
0.2%
2022-01-0006 2
 
0.2%
2023-09-0001 2
 
0.2%
2023-08-0001 2
 
0.2%
2023-10-0001 2
 
0.2%
2022-01-0007 2
 
0.2%
2022-01-0002 2
 
0.2%
2022-01-0005 2
 
0.2%
2023-01-0002 2
 
0.2%
Other values (816) 819
97.6%
2024-04-11T11:13:41.364766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3278
33.7%
2 1974
20.3%
- 1582
16.2%
1 668
 
6.9%
3 508
 
5.2%
4 394
 
4.0%
5 349
 
3.6%
6 256
 
2.6%
7 132
 
1.4%
8 114
 
1.2%
Other values (5) 483
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7772
79.8%
Dash Punctuation 1582
 
16.2%
Uppercase Letter 384
 
3.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3278
42.2%
2 1974
25.4%
1 668
 
8.6%
3 508
 
6.5%
4 394
 
5.1%
5 349
 
4.5%
6 256
 
3.3%
7 132
 
1.7%
8 114
 
1.5%
9 99
 
1.3%
Uppercase Letter
ValueCountFrequency (%)
S 96
25.0%
W 96
25.0%
L 96
25.0%
F 96
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 1582
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9354
96.1%
Latin 384
 
3.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3278
35.0%
2 1974
21.1%
- 1582
16.9%
1 668
 
7.1%
3 508
 
5.4%
4 394
 
4.2%
5 349
 
3.7%
6 256
 
2.7%
7 132
 
1.4%
8 114
 
1.2%
Latin
ValueCountFrequency (%)
S 96
25.0%
W 96
25.0%
L 96
25.0%
F 96
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9738
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3278
33.7%
2 1974
20.3%
- 1582
16.2%
1 668
 
6.9%
3 508
 
5.2%
4 394
 
4.0%
5 349
 
3.6%
6 256
 
2.6%
7 132
 
1.4%
8 114
 
1.2%
Other values (5) 483
 
5.0%

인증유효시작일자
Date

Distinct162
Distinct (%)19.3%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
Minimum2016-11-01 00:00:00
Maximum2024-01-09 00:00:00
2024-04-11T11:13:41.497972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:41.604414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인증유효종료일자
Date

Distinct159
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
Minimum2023-08-31 00:00:00
Maximum2030-04-09 00:00:00
2024-04-11T11:13:41.709939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:41.832124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인증취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing839
Missing (%)100.0%
Memory size7.5 KiB

사업장도로명주소
Text

MISSING 

Distinct15
Distinct (%)83.3%
Missing821
Missing (%)97.9%
Memory size6.7 KiB
2024-04-11T11:13:41.982892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length26.5
Mean length22.333333
Min length19

Characters and Unicode

Total characters402
Distinct characters58
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

Unique13 ?
Unique (%)72.2%

Sample

1st row경기도 고양시 덕양구 통일로 775
2nd row경기도 고양시 덕양구 원당로 33번길 36
3rd row경기도 고양시 일산서구 대화로 157
4th row경기도 고양시 일산서구 법곳길 420
5th row경기도 고양시 일산서구 산율길 103
ValueCountFrequency (%)
경기도 18
19.8%
고양시 11
 
12.1%
안성시 7
 
7.7%
일산서구 5
 
5.5%
덕양구 4
 
4.4%
125-50 3
 
3.3%
한사울길 3
 
3.3%
대덕면 3
 
3.3%
금광면 2
 
2.2%
신양복길 2
 
2.2%
Other values (30) 33
36.3%
2024-04-11T11:13:42.263567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
73
18.2%
양 19
 
4.7%
경 18
 
4.5%
도 18
 
4.5%
시 18
 
4.5%
기 18
 
4.5%
5 16
 
4.0%
길 15
 
3.7%
고 14
 
3.5%
2 13
 
3.2%
Other values (48) 180
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 243
60.4%
Decimal Number 77
 
19.2%
Space Separator 73
 
18.2%
Dash Punctuation 7
 
1.7%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 19
 
7.8%
경 18
 
7.4%
도 18
 
7.4%
시 18
 
7.4%
기 18
 
7.4%
길 15
 
6.2%
고 14
 
5.8%
구 11
 
4.5%
일 10
 
4.1%
산 9
 
3.7%
Other values (34) 93
38.3%
Decimal Number
ValueCountFrequency (%)
5 16
20.8%
2 13
16.9%
1 11
14.3%
3 9
11.7%
0 8
10.4%
4 7
9.1%
8 5
 
6.5%
7 4
 
5.2%
6 3
 
3.9%
9 1
 
1.3%
Space Separator
ValueCountFrequency (%)
73
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 243
60.4%
Common 159
39.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 19
 
7.8%
경 18
 
7.4%
도 18
 
7.4%
시 18
 
7.4%
기 18
 
7.4%
길 15
 
6.2%
고 14
 
5.8%
구 11
 
4.5%
일 10
 
4.1%
산 9
 
3.7%
Other values (34) 93
38.3%
Common
ValueCountFrequency (%)
73
45.9%
5 16
 
10.1%
2 13
 
8.2%
1 11
 
6.9%
3 9
 
5.7%
0 8
 
5.0%
4 7
 
4.4%
- 7
 
4.4%
8 5
 
3.1%
7 4
 
2.5%
Other values (4) 6
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 243
60.4%
ASCII 159
39.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
73
45.9%
5 16
 
10.1%
2 13
 
8.2%
1 11
 
6.9%
3 9
 
5.7%
0 8
 
5.0%
4 7
 
4.4%
- 7
 
4.4%
8 5
 
3.1%
7 4
 
2.5%
Other values (4) 6
 
3.8%
Hangul
ValueCountFrequency (%)
양 19
 
7.8%
경 18
 
7.4%
도 18
 
7.4%
시 18
 
7.4%
기 18
 
7.4%
길 15
 
6.2%
고 14
 
5.8%
구 11
 
4.5%
일 10
 
4.1%
산 9
 
3.7%
Other values (34) 93
38.3%

사업장지번주소
Text

MISSING 

Distinct95
Distinct (%)88.0%
Missing731
Missing (%)87.1%
Memory size6.7 KiB
2024-04-11T11:13:42.514363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24
Mean length20.722222
Min length17

Characters and Unicode

Total characters2238
Distinct characters79
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

Unique84 ?
Unique (%)77.8%

Sample

1st row경기도 고양시 일산서구 구산동 1103-2
2nd row경기도 고양시 일산동구 식사동 468
3rd row경기도 고양시 일산동구 백석동 1134-2
4th row경기도 고양시 일산서구 구산동 1012
5th row경기도 고양시 일산동구 산황동 758-1
ValueCountFrequency (%)
경기도 108
20.0%
수원시 96
17.7%
장안구 50
 
9.2%
권선구 41
 
7.6%
상광교동 30
 
5.5%
하광교동 14
 
2.6%
고양시 12
 
2.2%
입북동 12
 
2.2%
당수동 10
 
1.8%
덕양구 5
 
0.9%
Other values (127) 163
30.1%
2024-04-11T11:13:42.878515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
433
19.3%
구 113
 
5.0%
동 111
 
5.0%
경 108
 
4.8%
도 108
 
4.8%
시 108
 
4.8%
기 108
 
4.8%
수 106
 
4.7%
원 100
 
4.5%
1 91
 
4.1%
Other values (69) 852
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1356
60.6%
Space Separator 433
 
19.3%
Decimal Number 387
 
17.3%
Dash Punctuation 62
 
2.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 113
 
8.3%
동 111
 
8.2%
경 108
 
8.0%
도 108
 
8.0%
시 108
 
8.0%
기 108
 
8.0%
수 106
 
7.8%
원 100
 
7.4%
안 50
 
3.7%
장 50
 
3.7%
Other values (57) 394
29.1%
Decimal Number
ValueCountFrequency (%)
1 91
23.5%
2 60
15.5%
7 48
12.4%
3 45
11.6%
9 32
 
8.3%
4 28
 
7.2%
5 25
 
6.5%
8 21
 
5.4%
0 19
 
4.9%
6 18
 
4.7%
Space Separator
ValueCountFrequency (%)
433
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1356
60.6%
Common 882
39.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 113
 
8.3%
동 111
 
8.2%
경 108
 
8.0%
도 108
 
8.0%
시 108
 
8.0%
기 108
 
8.0%
수 106
 
7.8%
원 100
 
7.4%
안 50
 
3.7%
장 50
 
3.7%
Other values (57) 394
29.1%
Common
ValueCountFrequency (%)
433
49.1%
1 91
 
10.3%
- 62
 
7.0%
2 60
 
6.8%
7 48
 
5.4%
3 45
 
5.1%
9 32
 
3.6%
4 28
 
3.2%
5 25
 
2.8%
8 21
 
2.4%
Other values (2) 37
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1356
60.6%
ASCII 882
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
433
49.1%
1 91
 
10.3%
- 62
 
7.0%
2 60
 
6.8%
7 48
 
5.4%
3 45
 
5.1%
9 32
 
3.6%
4 28
 
3.2%
5 25
 
2.8%
8 21
 
2.4%
Other values (2) 37
 
4.2%
Hangul
ValueCountFrequency (%)
구 113
 
8.3%
동 111
 
8.2%
경 108
 
8.0%
도 108
 
8.0%
시 108
 
8.0%
기 108
 
8.0%
수 106
 
7.8%
원 100
 
7.4%
안 50
 
3.7%
장 50
 
3.7%
Other values (57) 394
29.1%

생산지도로명주소
Text

MISSING 

Distinct588
Distinct (%)76.0%
Missing65
Missing (%)7.7%
Memory size6.7 KiB
2024-04-11T11:13:43.141471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length33
Mean length22.011628
Min length14

Characters and Unicode

Total characters17037
Distinct characters245
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique460 ?
Unique (%)59.4%

Sample

1st row경기도 화성시 매송면 매송북길 225-1
2nd row경기도 화성시 장안면 장명길 56-8
3rd row경기도 화성시 팔탄면 푸른들판로 990
4th row경기도 화성시 장안면 3.1만세로 447-6, 미래파크뷰 201호
5th row경기도 화성시 서신면 궁평항로 1321
ValueCountFrequency (%)
경기도 774
19.8%
화성시 667
 
17.0%
송산면 137
 
3.5%
서신면 122
 
3.1%
수원시 89
 
2.3%
장안면 70
 
1.8%
우정읍 70
 
1.8%
향남읍 58
 
1.5%
권선구 42
 
1.1%
장안구 42
 
1.1%
Other values (912) 1846
47.1%
2024-04-11T11:13:43.534549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3146
18.5%
도 834
 
4.9%
기 796
 
4.7%
시 779
 
4.6%
경 775
 
4.5%
성 693
 
4.1%
화 690
 
4.1%
1 623
 
3.7%
길 606
 
3.6%
면 470
 
2.8%
Other values (235) 7625
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10220
60.0%
Decimal Number 3206
 
18.8%
Space Separator 3146
 
18.5%
Dash Punctuation 413
 
2.4%
Other Punctuation 47
 
0.3%
Uppercase Letter 3
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 834
 
8.2%
기 796
 
7.8%
시 779
 
7.6%
경 775
 
7.6%
성 693
 
6.8%
화 690
 
6.8%
길 606
 
5.9%
면 470
 
4.6%
로 366
 
3.6%
산 253
 
2.5%
Other values (216) 3958
38.7%
Decimal Number
ValueCountFrequency (%)
1 623
19.4%
2 453
14.1%
3 351
10.9%
5 347
10.8%
4 337
10.5%
0 234
 
7.3%
6 232
 
7.2%
8 225
 
7.0%
7 207
 
6.5%
9 197
 
6.1%
Uppercase Letter
ValueCountFrequency (%)
A 1
33.3%
L 1
33.3%
H 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 41
87.2%
. 6
 
12.8%
Space Separator
ValueCountFrequency (%)
3146
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 413
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10220
60.0%
Common 6814
40.0%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 834
 
8.2%
기 796
 
7.8%
시 779
 
7.6%
경 775
 
7.6%
성 693
 
6.8%
화 690
 
6.8%
길 606
 
5.9%
면 470
 
4.6%
로 366
 
3.6%
산 253
 
2.5%
Other values (216) 3958
38.7%
Common
ValueCountFrequency (%)
3146
46.2%
1 623
 
9.1%
2 453
 
6.6%
- 413
 
6.1%
3 351
 
5.2%
5 347
 
5.1%
4 337
 
4.9%
0 234
 
3.4%
6 232
 
3.4%
8 225
 
3.3%
Other values (6) 453
 
6.6%
Latin
ValueCountFrequency (%)
A 1
33.3%
L 1
33.3%
H 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10220
60.0%
ASCII 6817
40.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3146
46.1%
1 623
 
9.1%
2 453
 
6.6%
- 413
 
6.1%
3 351
 
5.1%
5 347
 
5.1%
4 337
 
4.9%
0 234
 
3.4%
6 232
 
3.4%
8 225
 
3.3%
Other values (9) 456
 
6.7%
Hangul
ValueCountFrequency (%)
도 834
 
8.2%
기 796
 
7.8%
시 779
 
7.6%
경 775
 
7.6%
성 693
 
6.8%
화 690
 
6.8%
길 606
 
5.9%
면 470
 
4.6%
로 366
 
3.6%
산 253
 
2.5%
Other values (216) 3958
38.7%

생산지지번주소
Text

MISSING 

Distinct143
Distinct (%)91.1%
Missing682
Missing (%)81.3%
Memory size6.7 KiB
2024-04-11T11:13:43.839857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length27
Mean length21.496815
Min length17

Characters and Unicode

Total characters3375
Distinct characters97
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

Unique131 ?
Unique (%)83.4%

Sample

1st row경기도 화성시 송산면 마산리 572-3
2nd row경기도 고양시 일산서구 구산동 1103-2
3rd row경기도 고양시 일산동구 식사동 468
4th row경기도 고양시 일산동구 백석동 1134-2
5th row경기도 고양시 일산서구 구산동 1012
ValueCountFrequency (%)
경기도 157
19.2%
수원시 96
 
11.8%
장안구 50
 
6.1%
안산시 46
 
5.6%
권선구 41
 
5.0%
상록구 32
 
3.9%
상광교동 30
 
3.7%
등 16
 
2.0%
하광교동 14
 
1.7%
단원구 14
 
1.7%
Other values (205) 320
39.2%
2024-04-11T11:13:44.268239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
659
19.5%
구 160
 
4.7%
동 158
 
4.7%
경 157
 
4.7%
시 157
 
4.7%
기 157
 
4.7%
도 157
 
4.7%
1 135
 
4.0%
원 115
 
3.4%
수 106
 
3.1%
Other values (87) 1414
41.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2002
59.3%
Space Separator 659
 
19.5%
Decimal Number 613
 
18.2%
Dash Punctuation 98
 
2.9%
Other Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 160
 
8.0%
동 158
 
7.9%
경 157
 
7.8%
시 157
 
7.8%
기 157
 
7.8%
도 157
 
7.8%
원 115
 
5.7%
수 106
 
5.3%
안 96
 
4.8%
상 63
 
3.1%
Other values (74) 676
33.8%
Decimal Number
ValueCountFrequency (%)
1 135
22.0%
2 95
15.5%
7 73
11.9%
3 63
10.3%
4 58
9.5%
5 46
 
7.5%
9 39
 
6.4%
6 36
 
5.9%
8 36
 
5.9%
0 32
 
5.2%
Space Separator
ValueCountFrequency (%)
659
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 98
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2002
59.3%
Common 1373
40.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 160
 
8.0%
동 158
 
7.9%
경 157
 
7.8%
시 157
 
7.8%
기 157
 
7.8%
도 157
 
7.8%
원 115
 
5.7%
수 106
 
5.3%
안 96
 
4.8%
상 63
 
3.1%
Other values (74) 676
33.8%
Common
ValueCountFrequency (%)
659
48.0%
1 135
 
9.8%
- 98
 
7.1%
2 95
 
6.9%
7 73
 
5.3%
3 63
 
4.6%
4 58
 
4.2%
5 46
 
3.4%
9 39
 
2.8%
6 36
 
2.6%
Other values (3) 71
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2002
59.3%
ASCII 1373
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
659
48.0%
1 135
 
9.8%
- 98
 
7.1%
2 95
 
6.9%
7 73
 
5.3%
3 63
 
4.6%
4 58
 
4.2%
5 46
 
3.4%
9 39
 
2.8%
6 36
 
2.6%
Other values (3) 71
 
5.2%
Hangul
ValueCountFrequency (%)
구 160
 
8.0%
동 158
 
7.9%
경 157
 
7.8%
시 157
 
7.8%
기 157
 
7.8%
도 157
 
7.8%
원 115
 
5.7%
수 106
 
5.3%
안 96
 
4.8%
상 63
 
3.1%
Other values (74) 676
33.8%

품목명
Text

Distinct341
Distinct (%)40.6%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
2024-04-11T11:13:44.480319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length64
Mean length5.375447
Min length1

Characters and Unicode

Total characters4510
Distinct characters286
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique277 ?
Unique (%)33.0%

Sample

1st row감자
2nd row마늘
3rd row토마토+방울토마토+양파
4th row감자
5th row블루베리
ValueCountFrequency (%)
포도 174
 
20.1%
물김 39
 
4.5%
쌀 30
 
3.5%
딸기 29
 
3.4%
감자 28
 
3.2%
고구마 21
 
2.4%
블루베리 19
 
2.2%
고추 15
 
1.7%
대추 10
 
1.2%
양봉산물(꿀 10
 
1.2%
Other values (338) 489
56.6%
2024-04-11T11:13:44.798450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
+ 639
 
14.2%
추 225
 
5.0%
도 195
 
4.3%
포 183
 
4.1%
고 132
 
2.9%
마 126
 
2.8%
토 115
 
2.5%
파 107
 
2.4%
이 87
 
1.9%
대 83
 
1.8%
Other values (276) 2618
58.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3751
83.2%
Math Symbol 639
 
14.2%
Close Punctuation 34
 
0.8%
Open Punctuation 34
 
0.8%
Space Separator 27
 
0.6%
Decimal Number 16
 
0.4%
Other Punctuation 8
 
0.2%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
추 225
 
6.0%
도 195
 
5.2%
포 183
 
4.9%
고 132
 
3.5%
마 126
 
3.4%
토 115
 
3.1%
파 107
 
2.9%
이 87
 
2.3%
대 83
 
2.2%
배 79
 
2.1%
Other values (260) 2419
64.5%
Decimal Number
ValueCountFrequency (%)
1 5
31.2%
5 2
 
12.5%
3 2
 
12.5%
6 2
 
12.5%
9 1
 
6.2%
4 1
 
6.2%
2 1
 
6.2%
0 1
 
6.2%
7 1
 
6.2%
Space Separator
ValueCountFrequency (%)
25
92.6%
　 2
 
7.4%
Math Symbol
ValueCountFrequency (%)
+ 639
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%
Uppercase Letter
ValueCountFrequency (%)
M 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3751
83.2%
Common 758
 
16.8%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
추 225
 
6.0%
도 195
 
5.2%
포 183
 
4.9%
고 132
 
3.5%
마 126
 
3.4%
토 115
 
3.1%
파 107
 
2.9%
이 87
 
2.3%
대 83
 
2.2%
배 79
 
2.1%
Other values (260) 2419
64.5%
Common
ValueCountFrequency (%)
+ 639
84.3%
) 34
 
4.5%
( 34
 
4.5%
25
 
3.3%
, 8
 
1.1%
1 5
 
0.7%
　 2
 
0.3%
5 2
 
0.3%
3 2
 
0.3%
6 2
 
0.3%
Other values (5) 5
 
0.7%
Latin
ValueCountFrequency (%)
M 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3751
83.2%
ASCII 757
 
16.8%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
+ 639
84.4%
) 34
 
4.5%
( 34
 
4.5%
25
 
3.3%
, 8
 
1.1%
1 5
 
0.7%
5 2
 
0.3%
3 2
 
0.3%
6 2
 
0.3%
9 1
 
0.1%
Other values (5) 5
 
0.7%
Hangul
ValueCountFrequency (%)
추 225
 
6.0%
도 195
 
5.2%
포 183
 
4.9%
고 132
 
3.5%
마 126
 
3.4%
토 115
 
3.1%
파 107
 
2.9%
이 87
 
2.3%
대 83
 
2.2%
배 79
 
2.1%
Other values (260) 2419
64.5%
None
ValueCountFrequency (%)
　 2
100.0%

재배면적
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct80
Distinct (%)70.8%
Missing726
Missing (%)86.5%
Infinite0
Infinite (%)0.0%
Mean1333.7345
Minimum0
Maximum24253
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2024-04-11T11:13:44.914028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile44
Q1135
median275
Q31000
95-th percentile5463.2
Maximum24253
Range24253
Interquartile range (IQR)865

Descriptive statistics

Standard deviation3216.8962
Coefficient of variation (CV)2.4119464
Kurtosis27.477943
Mean1333.7345
Median Absolute Deviation (MAD)184
Skewness4.8410433
Sum150712
Variance10348421
MonotonicityNot monotonic
2024-04-11T11:13:45.028432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
92 5
 
0.6%
184 4
 
0.5%
275 4
 
0.5%
250 3
 
0.4%
1650 3
 
0.4%
135 3
 
0.4%
600 2
 
0.2%
735 2
 
0.2%
450 2
 
0.2%
239 2
 
0.2%
Other values (70) 83
 
9.9%
(Missing) 726
86.5%
ValueCountFrequency (%)
0 1
0.1%
3 1
0.1%
11 1
0.1%
28 1
0.1%
40 1
0.1%
41 1
0.1%
46 2
0.2%
49 1
0.1%
50 1
0.1%
64 1
0.1%
ValueCountFrequency (%)
24253 1
0.1%
15913 1
0.1%
13000 1
0.1%
9000 1
0.1%
8910 1
0.1%
5624 1
0.1%
5356 1
0.1%
5330 1
0.1%
3250 1
0.1%
3000 2
0.2%

재배규모
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct6
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
<NA>
834 
264
 
1
3000
 
1
1100
 
1
300
 
1

Length

Max length5
Median length4
Mean length3.9988081
Min length3

Unique

Unique5 ?
Unique (%)0.6%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 834
99.4%
264 1
 
0.1%
3000 1
 
0.1%
1100 1
 
0.1%
300 1
 
0.1%
80000 1
 
0.1%

Length

2024-04-11T11:13:45.141837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-11T11:13:45.267174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 834
99.4%
264 1
 
0.1%
3000 1
 
0.1%
1100 1
 
0.1%
300 1
 
0.1%
80000 1
 
0.1%

인증부여일자
Date

Distinct168
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
Minimum2016-07-01 00:00:00
Maximum2024-01-09 00:00:00
2024-04-11T11:13:45.378462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:45.679075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사업자명
Text

Distinct661
Distinct (%)78.8%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
2024-04-11T11:13:45.940439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length3
Mean length3.0870083
Min length2

Characters and Unicode

Total characters2590
Distinct characters207
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

Unique536 ?
Unique (%)63.9%

Sample

1st row강정화
2nd row민병두
3rd row신현국
4th row이봉연
5th row정순구
ValueCountFrequency (%)
민병두 5
 
0.6%
최은순 5
 
0.6%
강기일 4
 
0.5%
홍순웅 4
 
0.5%
장주인 4
 
0.5%
김현화 4
 
0.5%
김상욱 4
 
0.5%
표기석 4
 
0.5%
이상미 4
 
0.5%
조재형 3
 
0.4%
Other values (654) 801
95.1%
2024-04-11T11:13:46.326858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 153
 
5.9%
김 151
 
5.8%
정 90
 
3.5%
순 68
 
2.6%
영 58
 
2.2%
숙 51
 
2.0%
최 49
 
1.9%
선 45
 
1.7%
희 45
 
1.7%
박 45
 
1.7%
Other values (197) 1835
70.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2572
99.3%
Open Punctuation 7
 
0.3%
Close Punctuation 7
 
0.3%
Space Separator 3
 
0.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 153
 
5.9%
김 151
 
5.9%
정 90
 
3.5%
순 68
 
2.6%
영 58
 
2.3%
숙 51
 
2.0%
최 49
 
1.9%
선 45
 
1.7%
희 45
 
1.7%
박 45
 
1.7%
Other values (193) 1817
70.6%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2572
99.3%
Common 18
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 153
 
5.9%
김 151
 
5.9%
정 90
 
3.5%
순 68
 
2.6%
영 58
 
2.3%
숙 51
 
2.0%
최 49
 
1.9%
선 45
 
1.7%
희 45
 
1.7%
박 45
 
1.7%
Other values (193) 1817
70.6%
Common
ValueCountFrequency (%)
( 7
38.9%
) 7
38.9%
3
16.7%
1 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2572
99.3%
ASCII 18
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 153
 
5.9%
김 151
 
5.9%
정 90
 
3.5%
순 68
 
2.6%
영 58
 
2.3%
숙 51
 
2.0%
최 49
 
1.9%
선 45
 
1.7%
희 45
 
1.7%
박 45
 
1.7%
Other values (193) 1817
70.6%
ASCII
ValueCountFrequency (%)
( 7
38.9%
) 7
38.9%
3
16.7%
1 1
 
5.6%

사업자등록번호
Text

MISSING 

Distinct4
Distinct (%)57.1%
Missing832
Missing (%)99.2%
Memory size6.7 KiB
2024-04-11T11:13:46.463824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters84
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)28.6%

Sample

1st row228-87-01613
2nd row125-81-94145
3rd row125-81-94145
4th row142-81-84981
5th row135-17-21560
ValueCountFrequency (%)
135-17-21560 3
42.9%
125-81-94145 2
28.6%
228-87-01613 1
 
14.3%
142-81-84981 1
 
14.3%
2024-04-11T11:13:46.712518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 20
23.8%
- 14
16.7%
5 10
11.9%
2 8
 
9.5%
8 7
 
8.3%
4 6
 
7.1%
3 4
 
4.8%
7 4
 
4.8%
6 4
 
4.8%
0 4
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 70
83.3%
Dash Punctuation 14
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 20
28.6%
5 10
14.3%
2 8
 
11.4%
8 7
 
10.0%
4 6
 
8.6%
3 4
 
5.7%
7 4
 
5.7%
6 4
 
5.7%
0 4
 
5.7%
9 3
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 84
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 20
23.8%
- 14
16.7%
5 10
11.9%
2 8
 
9.5%
8 7
 
8.3%
4 6
 
7.1%
3 4
 
4.8%
7 4
 
4.8%
6 4
 
4.8%
0 4
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 84
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 20
23.8%
- 14
16.7%
5 10
11.9%
2 8
 
9.5%
8 7
 
8.3%
4 6
 
7.1%
3 4
 
4.8%
7 4
 
4.8%
6 4
 
4.8%
0 4
 
4.8%

전화번호
Text

MISSING 

Distinct4
Distinct (%)57.1%
Missing832
Missing (%)99.2%
Memory size6.7 KiB
2024-04-11T11:13:46.842904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.142857
Min length12

Characters and Unicode

Total characters85
Distinct characters10
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)28.6%

Sample

1st row031-677-2900
2nd row031-677-1822
3rd row031-677-1822
4th row070-8808-1895
5th row031-676-2356
ValueCountFrequency (%)
031-676-2356 3
42.9%
031-677-1822 2
28.6%
031-677-2900 1
 
14.3%
070-8808-1895 1
 
14.3%
2024-04-11T11:13:47.087837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 14
16.5%
6 12
14.1%
0 11
12.9%
7 10
11.8%
3 9
10.6%
1 9
10.6%
2 8
9.4%
8 6
7.1%
5 4
 
4.7%
9 2
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 71
83.5%
Dash Punctuation 14
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 12
16.9%
0 11
15.5%
7 10
14.1%
3 9
12.7%
1 9
12.7%
2 8
11.3%
8 6
8.5%
5 4
 
5.6%
9 2
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 85
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 14
16.5%
6 12
14.1%
0 11
12.9%
7 10
11.8%
3 9
10.6%
1 9
10.6%
2 8
9.4%
8 6
7.1%
5 4
 
4.7%
9 2
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 85
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 14
16.5%
6 12
14.1%
0 11
12.9%
7 10
11.8%
3 9
10.6%
1 9
10.6%
2 8
9.4%
8 6
7.1%
5 4
 
4.7%
9 2
 
2.4%

관리기관명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
경기도 화성시청
670 
경기도 수원시청
96 
경기도 안산시청
 
46
고양시농업기술센터 농산유통과
 
20
경기도 안성시청
 
7

Length

Max length15
Median length8
Mean length8.1668653
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도 화성시청
2nd row경기도 화성시청
3rd row경기도 화성시청
4th row경기도 화성시청
5th row경기도 화성시청

Common Values

ValueCountFrequency (%)
경기도 화성시청 670
79.9%
경기도 수원시청 96
 
11.4%
경기도 안산시청 46
 
5.5%
고양시농업기술센터 농산유통과 20
 
2.4%
경기도 안성시청 7
 
0.8%

Length

2024-04-11T11:13:47.197037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-11T11:13:47.290462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 819
48.8%
화성시청 670
39.9%
수원시청 96
 
5.7%
안산시청 46
 
2.7%
고양시농업기술센터 20
 
1.2%
농산유통과 20
 
1.2%
안성시청 7
 
0.4%

데이터기준일자
Date

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
Minimum2023-12-13 00:00:00
Maximum2024-02-13 00:00:00
2024-04-11T11:13:47.382035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:13:47.472602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

Interactions

2024-04-11T11:13:40.313396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-11T11:13:47.539303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업장도로명주소사업장지번주소재배면적재배규모사업자등록번호전화번호관리기관명데이터기준일자
사업장도로명주소1.0001.0001.0001.0001.0001.0001.0001.000
사업장지번주소1.0001.0000.993NaNNaNNaN1.0001.000
재배면적1.0000.9931.000NaNNaNNaN0.5140.514
재배규모1.000NaNNaN1.000NaNNaNNaNNaN
사업자등록번호1.000NaNNaNNaN1.0001.000NaNNaN
전화번호1.000NaNNaNNaN1.0001.000NaNNaN
관리기관명1.0001.0000.514NaNNaNNaN1.0001.000
데이터기준일자1.0001.0000.514NaNNaNNaN1.0001.000
2024-04-11T11:13:47.645282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
재배규모관리기관명
재배규모1.0001.000
관리기관명1.0001.000
2024-04-11T11:13:47.716437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
재배면적재배규모관리기관명
재배면적1.0001.0000.539
재배규모1.0001.0001.000
관리기관명0.5391.0001.000

Missing values

2024-04-11T11:13:40.467321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-11T11:13:40.651185image/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.
2024-04-11T11:13:40.789901image/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

로컬푸드인증번호인증유효시작일자인증유효종료일자인증취소일자사업장도로명주소사업장지번주소생산지도로명주소생산지지번주소품목명재배면적재배규모인증부여일자사업자명사업자등록번호전화번호관리기관명데이터기준일자
02022-02-00062022-06-142024-06-13<NA><NA><NA>경기도 화성시 매송면 매송북길 225-1<NA>감자<NA><NA>2022-06-14강정화<NA><NA>경기도 화성시청2024-01-10
12022-05-00222022-06-142024-06-13<NA><NA><NA>경기도 화성시 장안면 장명길 56-8<NA>마늘<NA><NA>2022-06-14민병두<NA><NA>경기도 화성시청2024-01-10
22022-05-00232022-06-142024-06-13<NA><NA><NA>경기도 화성시 팔탄면 푸른들판로 990<NA>토마토+방울토마토+양파<NA><NA>2022-06-14신현국<NA><NA>경기도 화성시청2024-01-10
32022-02-00072022-06-202024-06-19<NA><NA><NA>경기도 화성시 장안면 3.1만세로 447-6, 미래파크뷰 201호<NA>감자<NA><NA>2022-06-20이봉연<NA><NA>경기도 화성시청2024-01-10
42022-04-00022022-06-202024-06-19<NA><NA><NA>경기도 화성시 서신면 궁평항로 1321<NA>블루베리<NA><NA>2022-06-20정순구<NA><NA>경기도 화성시청2024-01-10
52022-04-00032022-06-202024-06-19<NA><NA><NA>경기도 화성시 장안면 온수골1길 140-59<NA>블루베리<NA><NA>2022-06-20전유원<NA><NA>경기도 화성시청2024-01-10
62022-04-00042022-06-202024-06-19<NA><NA><NA>경기도 화성시 향남읍 성재길 59<NA>오디<NA><NA>2022-06-20김동수<NA><NA>경기도 화성시청2024-01-10
72022-04-00052022-06-202024-06-19<NA><NA><NA>경기도 화성시 서신면 해운로 10<NA>오디<NA><NA>2022-06-20정용락<NA><NA>경기도 화성시청2024-01-10
82022-05-00332022-07-152024-07-14<NA><NA><NA>경기도 화성시 우정읍 물미길 86<NA>노각오이<NA><NA>2022-07-15윤덕식<NA><NA>경기도 화성시청2024-01-10
92022-01-00012022-07-192024-07-18<NA><NA><NA>경기도 화성시 팔탄면 건달산로 129-31<NA>옥수수<NA><NA>2022-07-19김현화<NA><NA>경기도 화성시청2024-01-10
로컬푸드인증번호인증유효시작일자인증유효종료일자인증취소일자사업장도로명주소사업장지번주소생산지도로명주소생산지지번주소품목명재배면적재배규모인증부여일자사업자명사업자등록번호전화번호관리기관명데이터기준일자
829SWLF-160842021-08-242024-08-24<NA><NA>경기도 수원시 권선구 입북동 317-1경기도 수원시 권선구 입북로 59번길 83경기도 수원시 권선구 입북동 317-1감자+고구마+대파1000<NA>2021-08-24김남기<NA><NA>경기도 수원시청2024-02-13
830SWLF-160852021-11-162024-11-16<NA><NA>경기도 수원시 장안구 하광교동 9-4경기도 수원시 장안구 광교산로 374번길 147경기도 수원시 장안구 하광교동 9-4부추+상추+중파+둥근마+쪽파1000<NA>2021-11-16이덕형<NA><NA>경기도 수원시청2024-02-13
831SWLF-160862022-02-082025-02-08<NA><NA>경기도 수원시 권선구 당수동 296-4경기도 수원시 권선구 서수원로 805-8경기도 수원시 권선구 당수동 296-4호박+감자+옥수수250<NA>2022-02-08이민섭<NA><NA>경기도 수원시청2024-02-13
832SWLF-160872022-04-262025-04-26<NA><NA>경기도 수원시 장안구 상광교동 71경기도 수원시 장안구 광교산로 587경기도 수원시 장안구 상광교동 71다육+화초80<NA>2022-04-26강지윤<NA><NA>경기도 수원시청2024-02-13
833SWLF-160882022-04-262025-04-26<NA><NA>경기도 수원시 장안구 상광교동 277경기도 수원시 장안구 광교산로 471경기도 수원시 장안구 상광교동 277쪽파+백도라지+부추600<NA>2022-04-26최간란<NA><NA>경기도 수원시청2024-02-13
834SWLF-160892023-04-282026-04-28<NA><NA>경기도 수원시 장안구 상광교동 196<NA>경기도 수원시 장안구 상광교동 196대파+표고1760<NA>2023-04-28성창숙<NA><NA>경기도 수원시청2024-02-13
835SWLF-160902023-04-282026-04-28<NA><NA>경기도 수원시 장안구 상광교동 276-3<NA>경기도 수원시 장안구 상광교동 276-3감자800<NA>2023-04-28이선호<NA><NA>경기도 수원시청2024-02-13
836SWLF-160912023-07-192026-07-19<NA><NA>경기도 수원시 장안구 탑동197<NA>경기도 수원시 장안구 탑동197아로니아+대추2992<NA>2023-07-19김인환<NA><NA>경기도 수원시청2024-02-13
837SWLF-160922023-07-192026-07-19<NA><NA>경기도 수원시 장안구 하광교동 290<NA>경기도 수원시 장안구 하광교동 290고구마+더덕1653<NA>2023-07-19김영숙<NA><NA>경기도 수원시청2024-02-13
838SWLF-160932023-07-192026-07-19<NA><NA>경기도 수원시 장안구 상광교동 196<NA>경기도 수원시 장안구 상광교동 196대파+표고1760<NA>2023-07-19성창숙<NA><NA>경기도 수원시청2024-02-13