Overview

Dataset statistics

Number of variables32
Number of observations10000
Missing cells3865
Missing cells (%)1.2%
Duplicate rows1540
Duplicate rows (%)15.4%
Total size in memory2.6 MiB
Average record size in memory268.0 B

Variable types

Categorical15
Text12
Numeric3
DateTime2

Alerts

등록여부정보 has constant value ""Constant
Dataset has 1540 (15.4%) duplicate rowsDuplicates
농약구분 is highly imbalanced (66.6%)Imbalance
단위 is highly imbalanced (99.9%)Imbalance
사용횟수 is highly imbalanced (50.8%)Imbalance
시험약제명 is highly imbalanced (95.2%)Imbalance
사용적기 has 1215 (12.2%) missing valuesMissing
희석배수 has 499 (5.0%) missing valuesMissing
사용수량 has 1473 (14.7%) missing valuesMissing
등록규격 has 375 (3.8%) missing valuesMissing
위도 has 143 (1.4%) missing valuesMissing
경도 has 143 (1.4%) missing valuesMissing

Reproduction

Analysis started2023-12-10 22:08:10.153252
Analysis finished2023-12-10 22:08:11.755340
Duration1.6 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
성남시
5358 
수원시
1332 
남양주시
1206 
안산시
851 
용인시
654 
Other values (4)
599 

Length

Max length4
Median length3
Mean length3.1206
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row성남시
2nd row화성시
3rd row성남시
4th row성남시
5th row용인시

Common Values

ValueCountFrequency (%)
성남시 5358
53.6%
수원시 1332
 
13.3%
남양주시 1206
 
12.1%
안산시 851
 
8.5%
용인시 654
 
6.5%
고양시 497
 
5.0%
화성시 49
 
0.5%
광주시 39
 
0.4%
여주시 14
 
0.1%

Length

2023-12-11T07:08:11.833854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:08:11.936952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성남시 5358
53.6%
수원시 1332
 
13.3%
남양주시 1206
 
12.1%
안산시 851
 
8.5%
용인시 654
 
6.5%
고양시 497
 
5.0%
화성시 49
 
0.5%
광주시 39
 
0.4%
여주시 14
 
0.1%

농약명
Text

Distinct228
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T07:08:12.127124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length32
Mean length12.502
Min length6

Characters and Unicode

Total characters125020
Distinct characters184
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

Unique10 ?
Unique (%)0.1%

Sample

1st row아바멕틴 미탁제
2nd row티오파네이트메틸 수화제
3rd row아족시스트로빈 액상수화제
4th row비펜트린 입제
5th row글루포시네이트암모늄 액제
ValueCountFrequency (%)
유제 3316
16.6%
액상수화제 3014
15.1%
에마멕틴벤조에이트 1577
 
7.9%
입상수화제 1327
 
6.6%
아바멕틴 956
 
4.8%
아족시스트로빈 852
 
4.3%
입제 601
 
3.0%
수화제 590
 
2.9%
클로르페나피르 424
 
2.1%
액제 412
 
2.1%
Other values (196) 6931
34.7%
2023-12-11T07:08:12.493458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
제 10040
 
8.0%
10000
 
8.0%
트 5149
 
4.1%
수 5116
 
4.1%
화 4959
 
4.0%
로 4555
 
3.6%
상 4506
 
3.6%
에 3677
 
2.9%
액 3606
 
2.9%
유 3451
 
2.8%
Other values (174) 69961
56.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 112989
90.4%
Space Separator 10000
 
8.0%
Other Punctuation 1850
 
1.5%
Dash Punctuation 111
 
0.1%
Decimal Number 70
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 10040
 
8.9%
트 5149
 
4.6%
수 5116
 
4.5%
화 4959
 
4.4%
로 4555
 
4.0%
상 4506
 
4.0%
에 3677
 
3.3%
액 3606
 
3.2%
유 3451
 
3.1%
이 3409
 
3.0%
Other values (164) 64521
57.1%
Decimal Number
ValueCountFrequency (%)
5 15
21.4%
6 15
21.4%
3 15
21.4%
1 13
18.6%
4 4
 
5.7%
9 4
 
5.7%
2 4
 
5.7%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1850
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 111
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 112989
90.4%
Common 12031
 
9.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 10040
 
8.9%
트 5149
 
4.6%
수 5116
 
4.5%
화 4959
 
4.4%
로 4555
 
4.0%
상 4506
 
4.0%
에 3677
 
3.3%
액 3606
 
3.2%
유 3451
 
3.1%
이 3409
 
3.0%
Other values (164) 64521
57.1%
Common
ValueCountFrequency (%)
10000
83.1%
. 1850
 
15.4%
- 111
 
0.9%
5 15
 
0.1%
6 15
 
0.1%
3 15
 
0.1%
1 13
 
0.1%
4 4
 
< 0.1%
9 4
 
< 0.1%
2 4
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 112989
90.4%
ASCII 12031
 
9.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
제 10040
 
8.9%
트 5149
 
4.6%
수 5116
 
4.5%
화 4959
 
4.4%
로 4555
 
4.0%
상 4506
 
4.0%
에 3677
 
3.3%
액 3606
 
3.2%
유 3451
 
3.1%
이 3409
 
3.0%
Other values (164) 64521
57.1%
ASCII
ValueCountFrequency (%)
10000
83.1%
. 1850
 
15.4%
- 111
 
0.9%
5 15
 
0.1%
6 15
 
0.1%
3 15
 
0.1%
1 13
 
0.1%
4 4
 
< 0.1%
9 4
 
< 0.1%
2 4
 
< 0.1%

농약영문명
Text

Distinct186
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T07:08:12.699869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length53
Mean length15.5546
Min length7

Characters and Unicode

Total characters155546
Distinct characters57
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)0.1%

Sample

1st rowAbamectin
2nd rowthiophanate-methyl
3rd rowAzoxystrobin
4th rowBifenthrin
5th rowGlufosinate-ammonium
ValueCountFrequency (%)
benzoate 1645
 
13.5%
emamectin 1595
 
13.1%
abamectin 956
 
7.9%
azoxystrobin 852
 
7.0%
chlorfenapyr 424
 
3.5%
lufenuron 357
 
2.9%
fludioxonil 349
 
2.9%
bifenthrin 309
 
2.5%
pyraclostrobin 299
 
2.5%
indoxacarb 292
 
2.4%
Other values (189) 5097
41.9%
2023-12-11T07:08:13.210203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 13854
 
8.9%
e 13656
 
8.8%
o 13600
 
8.7%
i 12672
 
8.1%
a 12248
 
7.9%
t 9723
 
6.3%
r 8000
 
5.1%
m 7930
 
5.1%
l 6531
 
4.2%
c 6334
 
4.1%
Other values (47) 50998
32.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 139353
89.6%
Uppercase Letter 10976
 
7.1%
Space Separator 2175
 
1.4%
Math Symbol 1850
 
1.2%
Dash Punctuation 1011
 
0.6%
Decimal Number 131
 
0.1%
Open Punctuation 25
 
< 0.1%
Close Punctuation 25
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 13854
 
9.9%
e 13656
 
9.8%
o 13600
 
9.8%
i 12672
 
9.1%
a 12248
 
8.8%
t 9723
 
7.0%
r 8000
 
5.7%
m 7930
 
5.7%
l 6531
 
4.7%
c 6334
 
4.5%
Other values (14) 34805
25.0%
Uppercase Letter
ValueCountFrequency (%)
A 2506
22.8%
F 1395
12.7%
E 1090
9.9%
P 1062
9.7%
B 805
 
7.3%
C 782
 
7.1%
T 631
 
5.7%
L 496
 
4.5%
D 495
 
4.5%
I 456
 
4.2%
Other values (10) 1258
11.5%
Decimal Number
ValueCountFrequency (%)
1 59
45.0%
0 15
 
11.5%
3 15
 
11.5%
6 15
 
11.5%
5 15
 
11.5%
9 4
 
3.1%
4 4
 
3.1%
2 4
 
3.1%
Space Separator
ValueCountFrequency (%)
2175
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1850
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1011
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 150329
96.6%
Common 5217
 
3.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 13854
 
9.2%
e 13656
 
9.1%
o 13600
 
9.0%
i 12672
 
8.4%
a 12248
 
8.1%
t 9723
 
6.5%
r 8000
 
5.3%
m 7930
 
5.3%
l 6531
 
4.3%
c 6334
 
4.2%
Other values (34) 45781
30.5%
Common
ValueCountFrequency (%)
2175
41.7%
+ 1850
35.5%
- 1011
19.4%
1 59
 
1.1%
( 25
 
0.5%
) 25
 
0.5%
0 15
 
0.3%
3 15
 
0.3%
6 15
 
0.3%
5 15
 
0.3%
Other values (3) 12
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 155546
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 13854
 
8.9%
e 13656
 
8.8%
o 13600
 
8.7%
i 12672
 
8.1%
a 12248
 
7.9%
t 9723
 
6.3%
r 8000
 
5.1%
m 7930
 
5.1%
l 6531
 
4.2%
c 6334
 
4.1%
Other values (47) 50998
32.8%

상표명
Text

Distinct296
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T07:08:13.474460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.4283
Min length2

Characters and Unicode

Total characters34283
Distinct characters312
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)0.1%

Sample

1st row안티충
2nd row샹그리라
3rd row아너스
4th row조쿠만
5th row초전사
ValueCountFrequency (%)
킹팜골드 530
 
5.3%
압사충 326
 
3.3%
모스파워 288
 
2.9%
카이노바 265
 
2.6%
겔럭시 173
 
1.7%
워무킬 170
 
1.7%
활주로 166
 
1.7%
에코멕틴 166
 
1.7%
균디스 164
 
1.6%
아젠포스 160
 
1.6%
Other values (286) 7592
75.9%
2023-12-11T07:08:13.850492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 1721
 
5.0%
이 1463
 
4.3%
드 930
 
2.7%
아 782
 
2.3%
바 767
 
2.2%
팜 679
 
2.0%
골 670
 
2.0%
트 667
 
1.9%
리 629
 
1.8%
킹 594
 
1.7%
Other values (302) 25381
74.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 34274
> 99.9%
Uppercase Letter 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 1721
 
5.0%
이 1463
 
4.3%
드 930
 
2.7%
아 782
 
2.3%
바 767
 
2.2%
팜 679
 
2.0%
골 670
 
2.0%
트 667
 
1.9%
리 629
 
1.8%
킹 594
 
1.7%
Other values (301) 25372
74.0%
Uppercase Letter
ValueCountFrequency (%)
S 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 34274
> 99.9%
Latin 9
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 1721
 
5.0%
이 1463
 
4.3%
드 930
 
2.7%
아 782
 
2.3%
바 767
 
2.2%
팜 679
 
2.0%
골 670
 
2.0%
트 667
 
1.9%
리 629
 
1.8%
킹 594
 
1.7%
Other values (301) 25372
74.0%
Latin
ValueCountFrequency (%)
S 9
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 34274
> 99.9%
ASCII 9
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 1721
 
5.0%
이 1463
 
4.3%
드 930
 
2.7%
아 782
 
2.3%
바 767
 
2.2%
팜 679
 
2.0%
골 670
 
2.0%
트 667
 
1.9%
리 629
 
1.8%
킹 594
 
1.7%
Other values (301) 25372
74.0%
ASCII
ValueCountFrequency (%)
S 9
100.0%

등록번호
Text

Distinct303
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T07:08:14.091712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.8978
Min length7

Characters and Unicode

Total characters78978
Distinct characters20
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

Unique11 ?
Unique (%)0.1%

Sample

1st row58-살충-4
2nd row62-살균-6
3rd row94-살균-15
4th row74-살충-26
5th row73-제초-1
ValueCountFrequency (%)
129-살충-7 326
 
3.3%
48-살충-30 324
 
3.2%
73-살충-17 288
 
2.9%
94-살충-14 278
 
2.8%
8-살충-408 265
 
2.6%
48-살충-26 173
 
1.7%
74-살충-20 170
 
1.7%
94-살충-18 166
 
1.7%
150-살충-1 166
 
1.7%
129-살균-6 164
 
1.6%
Other values (293) 7680
76.8%
2023-12-11T07:08:14.413127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 20000
25.3%
살 9254
11.7%
1 6461
 
8.2%
4 6030
 
7.6%
충 5812
 
7.4%
2 4479
 
5.7%
8 4404
 
5.6%
3 3920
 
5.0%
균 3824
 
4.8%
6 3624
 
4.6%
Other values (10) 11170
14.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 38978
49.4%
Dash Punctuation 20000
25.3%
Other Letter 20000
25.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 6461
16.6%
4 6030
15.5%
2 4479
11.5%
8 4404
11.3%
3 3920
10.1%
6 3624
9.3%
7 3462
8.9%
5 2357
 
6.0%
9 2320
 
6.0%
0 1921
 
4.9%
Other Letter
ValueCountFrequency (%)
살 9254
46.3%
충 5812
29.1%
균 3824
19.1%
제 505
 
2.5%
초 505
 
2.5%
생 46
 
0.2%
조 46
 
0.2%
기 4
 
< 0.1%
타 4
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 20000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 58978
74.7%
Hangul 20000
 
25.3%

Most frequent character per script

Common
ValueCountFrequency (%)
- 20000
33.9%
1 6461
 
11.0%
4 6030
 
10.2%
2 4479
 
7.6%
8 4404
 
7.5%
3 3920
 
6.6%
6 3624
 
6.1%
7 3462
 
5.9%
5 2357
 
4.0%
9 2320
 
3.9%
Hangul
ValueCountFrequency (%)
살 9254
46.3%
충 5812
29.1%
균 3824
19.1%
제 505
 
2.5%
초 505
 
2.5%
생 46
 
0.2%
조 46
 
0.2%
기 4
 
< 0.1%
타 4
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 58978
74.7%
Hangul 20000
 
25.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 20000
33.9%
1 6461
 
11.0%
4 6030
 
10.2%
2 4479
 
7.6%
8 4404
 
7.5%
3 3920
 
6.6%
6 3624
 
6.1%
7 3462
 
5.9%
5 2357
 
4.0%
9 2320
 
3.9%
Hangul
ValueCountFrequency (%)
살 9254
46.3%
충 5812
29.1%
균 3824
19.1%
제 505
 
2.5%
초 505
 
2.5%
생 46
 
0.2%
조 46
 
0.2%
기 4
 
< 0.1%
타 4
 
< 0.1%

제제형태
Categorical

Distinct23
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
유제
3316 
액상수화제
3014 
입상수화제
1327 
입제
601 
수화제
590 
Other values (18)
1152 

Length

Max length12
Median length9
Mean length3.5613
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row미탁제
2nd row수화제
3rd row액상수화제
4th row입제
5th row액제

Common Values

ValueCountFrequency (%)
유제 3316
33.2%
액상수화제 3014
30.1%
입상수화제 1327
13.3%
입제 601
 
6.0%
수화제 590
 
5.9%
액제 412
 
4.1%
미탁제 152
 
1.5%
분산성액제 147
 
1.5%
유탁제 123
 
1.2%
입상수용제 120
 
1.2%
Other values (13) 198
 
2.0%

Length

2023-12-11T07:08:14.523142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
유제 3316
33.2%
액상수화제 3014
30.1%
입상수화제 1327
13.3%
입제 601
 
6.0%
수화제 590
 
5.9%
액제 412
 
4.1%
미탁제 152
 
1.5%
분산성액제 147
 
1.5%
유탁제 123
 
1.2%
입상수용제 120
 
1.2%
Other values (13) 198
 
2.0%

농약구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
원예
9383 
수도
 
617

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row원예
2nd row수도
3rd row원예
4th row원예
5th row원예

Common Values

ValueCountFrequency (%)
원예 9383
93.8%
수도 617
 
6.2%

Length

2023-12-11T07:08:14.611475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:08:14.681441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
원예 9383
93.8%
수도 617
 
6.2%

용도명
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
살충제
5627 
살균제
3627 
제초제
 
505
살균.살충제
 
191
생장조정제
 
46

Length

Max length6
Median length3
Mean length3.0661
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row살충제
2nd row살균제
3rd row살균제
4th row살충제
5th row제초제

Common Values

ValueCountFrequency (%)
살충제 5627
56.3%
살균제 3627
36.3%
제초제 505
 
5.1%
살균.살충제 191
 
1.9%
생장조정제 46
 
0.5%
기타 4
 
< 0.1%

Length

2023-12-11T07:08:14.776019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:08:14.873224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
살충제 5627
56.3%
살균제 3627
36.3%
제초제 505
 
5.1%
살균.살충제 191
 
1.9%
생장조정제 46
 
0.5%
기타 4
 
< 0.1%

병해충/잡초명
Text

Distinct418
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T07:08:15.168295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length72
Median length67
Mean length5.731
Min length2

Characters and Unicode

Total characters57310
Distinct characters321
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

Unique64 ?
Unique (%)0.6%

Sample

1st row차먼지응애
2nd row자주날개무늬병
3rd row노균병
4th row거세미나방
5th row일년생잡초 및 다년생잡초
ValueCountFrequency (%)
파밤나방 587
 
5.4%
탄저병 535
 
4.9%
점박이응애 386
 
3.6%
잿빛곰팡이병 328
 
3.0%
흰가루병 311
 
2.9%
파총채벌레 287
 
2.6%
아메리카잎굴파리 284
 
2.6%
일년생잡초 280
 
2.6%
및 278
 
2.6%
노균병 275
 
2.5%
Other values (420) 7287
67.2%
2023-12-11T07:08:15.604713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
병 3704
 
6.5%
나 2560
 
4.5%
방 2364
 
4.1%
무 1471
 
2.6%
파 1346
 
2.3%
이 1317
 
2.3%
리 1233
 
2.2%
늬 983
 
1.7%
벌 970
 
1.7%
레 966
 
1.7%
Other values (311) 40396
70.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 55227
96.4%
Space Separator 841
 
1.5%
Other Punctuation 523
 
0.9%
Open Punctuation 331
 
0.6%
Close Punctuation 331
 
0.6%
Uppercase Letter 36
 
0.1%
Decimal Number 19
 
< 0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
병 3704
 
6.7%
나 2560
 
4.6%
방 2364
 
4.3%
무 1471
 
2.7%
파 1346
 
2.4%
이 1317
 
2.4%
리 1233
 
2.2%
늬 983
 
1.8%
벌 970
 
1.8%
레 966
 
1.7%
Other values (301) 38313
69.4%
Uppercase Letter
ValueCountFrequency (%)
U 12
33.3%
L 12
33.3%
V 12
33.3%
Decimal Number
ValueCountFrequency (%)
1 11
57.9%
2 8
42.1%
Space Separator
ValueCountFrequency (%)
841
100.0%
Other Punctuation
ValueCountFrequency (%)
, 523
100.0%
Open Punctuation
ValueCountFrequency (%)
( 331
100.0%
Close Punctuation
ValueCountFrequency (%)
) 331
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 55227
96.4%
Common 2047
 
3.6%
Latin 36
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
병 3704
 
6.7%
나 2560
 
4.6%
방 2364
 
4.3%
무 1471
 
2.7%
파 1346
 
2.4%
이 1317
 
2.4%
리 1233
 
2.2%
늬 983
 
1.8%
벌 970
 
1.8%
레 966
 
1.7%
Other values (301) 38313
69.4%
Common
ValueCountFrequency (%)
841
41.1%
, 523
25.5%
( 331
 
16.2%
) 331
 
16.2%
1 11
 
0.5%
2 8
 
0.4%
- 2
 
0.1%
Latin
ValueCountFrequency (%)
U 12
33.3%
L 12
33.3%
V 12
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 55227
96.4%
ASCII 2083
 
3.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
병 3704
 
6.7%
나 2560
 
4.6%
방 2364
 
4.3%
무 1471
 
2.7%
파 1346
 
2.4%
이 1317
 
2.4%
리 1233
 
2.2%
늬 983
 
1.8%
벌 970
 
1.8%
레 966
 
1.7%
Other values (301) 38313
69.4%
ASCII
ValueCountFrequency (%)
841
40.4%
, 523
25.1%
( 331
 
15.9%
) 331
 
15.9%
U 12
 
0.6%
L 12
 
0.6%
V 12
 
0.6%
1 11
 
0.5%
2 8
 
0.4%
- 2
 
0.1%

작물명
Text

Distinct316
Distinct (%)3.2%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-11T07:08:15.857726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length3.7046705
Min length1

Characters and Unicode

Total characters37043
Distinct characters301
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

Unique47 ?
Unique (%)0.5%

Sample

1st row시금치
2nd row사과
3rd row오이
4th row배추
5th row비농경지
ValueCountFrequency (%)
고추(단고추류포함 412
 
4.1%
사과 402
 
4.0%
벼 313
 
3.1%
배추 261
 
2.6%
오이 255
 
2.5%
들깨(잎 181
 
1.8%
무 174
 
1.7%
마늘 173
 
1.7%
배 172
 
1.7%
가지 171
 
1.7%
Other values (312) 7535
75.0%
2023-12-11T07:08:16.223380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 2243
 
6.1%
) 2243
 
6.1%
추 2056
 
5.6%
포 1254
 
3.4%
함 1082
 
2.9%
고 1079
 
2.9%
배 852
 
2.3%
리 720
 
1.9%
양 679
 
1.8%
단 673
 
1.8%
Other values (291) 24162
65.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32479
87.7%
Open Punctuation 2243
 
6.1%
Close Punctuation 2243
 
6.1%
Space Separator 50
 
0.1%
Other Punctuation 28
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
추 2056
 
6.3%
포 1254
 
3.9%
함 1082
 
3.3%
고 1079
 
3.3%
배 852
 
2.6%
리 720
 
2.2%
양 679
 
2.1%
단 673
 
2.1%
나 656
 
2.0%
파 634
 
2.0%
Other values (287) 22794
70.2%
Open Punctuation
ValueCountFrequency (%)
( 2243
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2243
100.0%
Space Separator
ValueCountFrequency (%)
50
100.0%
Other Punctuation
ValueCountFrequency (%)
, 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 32479
87.7%
Common 4564
 
12.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
추 2056
 
6.3%
포 1254
 
3.9%
함 1082
 
3.3%
고 1079
 
3.3%
배 852
 
2.6%
리 720
 
2.2%
양 679
 
2.1%
단 673
 
2.1%
나 656
 
2.0%
파 634
 
2.0%
Other values (287) 22794
70.2%
Common
ValueCountFrequency (%)
( 2243
49.1%
) 2243
49.1%
50
 
1.1%
, 28
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 32479
87.7%
ASCII 4564
 
12.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 2243
49.1%
) 2243
49.1%
50
 
1.1%
, 28
 
0.6%
Hangul
ValueCountFrequency (%)
추 2056
 
6.3%
포 1254
 
3.9%
함 1082
 
3.3%
고 1079
 
3.3%
배 852
 
2.6%
리 720
 
2.2%
양 679
 
2.1%
단 673
 
2.1%
나 656
 
2.0%
파 634
 
2.0%
Other values (287) 22794
70.2%

농약사용방법
Text

Distinct489
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T07:08:16.524108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length77
Median length72
Mean length7.6321
Min length3

Characters and Unicode

Total characters76321
Distinct characters235
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique178 ?
Unique (%)1.8%

Sample

1st row신초피해 발생초기
2nd row5월중순 수관부위 토양관주처리
3rd row발병초부터 7일간격
4th row정식전
5th row잡초생육기 잡초경엽처리
ValueCountFrequency (%)
발생초기 2531
14.6%
7일간격 2395
13.8%
발병초 2378
13.7%
10일간격 2148
12.4%
다발생기 1740
10.0%
경엽처리 696
 
4.0%
발생초 466
 
2.7%
발병초기 270
 
1.6%
잡초생육기 239
 
1.4%
발생시 236
 
1.4%
Other values (425) 4265
24.6%
2023-12-11T07:08:16.977603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
발 8292
 
10.9%
7380
 
9.7%
초 6514
 
8.5%
생 5593
 
7.3%
기 5265
 
6.9%
일 5125
 
6.7%
간 4771
 
6.3%
격 4744
 
6.2%
병 2950
 
3.9%
7 2532
 
3.3%
Other values (225) 23155
30.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 59516
78.0%
Decimal Number 8534
 
11.2%
Space Separator 7380
 
9.7%
Math Symbol 337
 
0.4%
Close Punctuation 174
 
0.2%
Open Punctuation 174
 
0.2%
Other Punctuation 160
 
0.2%
Lowercase Letter 26
 
< 0.1%
Dash Punctuation 18
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
발 8292
13.9%
초 6514
10.9%
생 5593
9.4%
기 5265
 
8.8%
일 5125
 
8.6%
간 4771
 
8.0%
격 4744
 
8.0%
병 2950
 
5.0%
다 1759
 
3.0%
리 1137
 
1.9%
Other values (196) 13366
22.5%
Decimal Number
ValueCountFrequency (%)
7 2532
29.7%
1 2429
28.5%
0 2239
26.2%
3 431
 
5.1%
5 298
 
3.5%
2 277
 
3.2%
6 205
 
2.4%
4 114
 
1.3%
8 7
 
0.1%
9 2
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
: 64
40.0%
, 51
31.9%
. 41
25.6%
% 3
 
1.9%
/ 1
 
0.6%
Lowercase Letter
ValueCountFrequency (%)
m 9
34.6%
l 8
30.8%
g 5
19.2%
k 4
15.4%
Math Symbol
ValueCountFrequency (%)
~ 329
97.6%
～ 8
 
2.4%
Close Punctuation
ValueCountFrequency (%)
) 169
97.1%
] 5
 
2.9%
Open Punctuation
ValueCountFrequency (%)
( 169
97.1%
[ 5
 
2.9%
Space Separator
ValueCountFrequency (%)
7380
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Uppercase Letter
ValueCountFrequency (%)
L 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 59516
78.0%
Common 16778
 
22.0%
Latin 27
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
발 8292
13.9%
초 6514
10.9%
생 5593
9.4%
기 5265
 
8.8%
일 5125
 
8.6%
간 4771
 
8.0%
격 4744
 
8.0%
병 2950
 
5.0%
다 1759
 
3.0%
리 1137
 
1.9%
Other values (196) 13366
22.5%
Common
ValueCountFrequency (%)
7380
44.0%
7 2532
 
15.1%
1 2429
 
14.5%
0 2239
 
13.3%
3 431
 
2.6%
~ 329
 
2.0%
5 298
 
1.8%
2 277
 
1.7%
6 205
 
1.2%
) 169
 
1.0%
Other values (14) 489
 
2.9%
Latin
ValueCountFrequency (%)
m 9
33.3%
l 8
29.6%
g 5
18.5%
k 4
14.8%
L 1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 59516
78.0%
ASCII 16797
 
22.0%
None 8
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
발 8292
13.9%
초 6514
10.9%
생 5593
9.4%
기 5265
 
8.8%
일 5125
 
8.6%
간 4771
 
8.0%
격 4744
 
8.0%
병 2950
 
5.0%
다 1759
 
3.0%
리 1137
 
1.9%
Other values (196) 13366
22.5%
ASCII
ValueCountFrequency (%)
7380
43.9%
7 2532
 
15.1%
1 2429
 
14.5%
0 2239
 
13.3%
3 431
 
2.6%
~ 329
 
2.0%
5 298
 
1.8%
2 277
 
1.6%
6 205
 
1.2%
) 169
 
1.0%
Other values (18) 508
 
3.0%
None
ValueCountFrequency (%)
～ 8
100.0%

사용적기
Text

MISSING 

Distinct123
Distinct (%)1.4%
Missing1215
Missing (%)12.2%
Memory size156.2 KiB
2023-12-11T07:08:17.176407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length8.291975
Min length1

Characters and Unicode

Total characters72845
Distinct characters60
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)0.3%

Sample

1st row수확 14일 전
2nd row수확 21일 전까지
3rd row수확 3일 전까지
4th row정식기
5th row수확 14일 전까지
ValueCountFrequency (%)
수확 7566
32.0%
전까지 5488
23.2%
7일 2414
 
10.2%
14일 1936
 
8.2%
전 1515
 
6.4%
3일 992
 
4.2%
21일 641
 
2.7%
2일 406
 
1.7%
까지 246
 
1.0%
30일 239
 
1.0%
Other values (88) 2213
 
9.4%
2023-12-11T07:08:17.498942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14874
20.4%
전 8107
11.1%
일 8085
11.1%
수 8069
11.1%
확 8058
11.1%
까 5894
 
8.1%
지 5894
 
8.1%
1 3062
 
4.2%
7 2717
 
3.7%
4 2320
 
3.2%
Other values (50) 5765
 
7.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 46182
63.4%
Space Separator 14874
 
20.4%
Decimal Number 11593
 
15.9%
Other Punctuation 77
 
0.1%
Open Punctuation 42
 
0.1%
Close Punctuation 42
 
0.1%
Math Symbol 22
 
< 0.1%
Dash Punctuation 13
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 8107
17.6%
일 8085
17.5%
수 8069
17.5%
확 8058
17.4%
까 5894
12.8%
지 5894
12.8%
기 549
 
1.2%
정 254
 
0.5%
식 253
 
0.5%
종 191
 
0.4%
Other values (34) 828
 
1.8%
Decimal Number
ValueCountFrequency (%)
1 3062
26.4%
7 2717
23.4%
4 2320
20.0%
3 1442
12.4%
2 1284
11.1%
0 450
 
3.9%
5 267
 
2.3%
6 38
 
0.3%
9 11
 
0.1%
8 2
 
< 0.1%
Space Separator
ValueCountFrequency (%)
14874
100.0%
Other Punctuation
ValueCountFrequency (%)
? 77
100.0%
Open Punctuation
ValueCountFrequency (%)
( 42
100.0%
Close Punctuation
ValueCountFrequency (%)
) 42
100.0%
Math Symbol
ValueCountFrequency (%)
~ 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 46182
63.4%
Common 26663
36.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 8107
17.6%
일 8085
17.5%
수 8069
17.5%
확 8058
17.4%
까 5894
12.8%
지 5894
12.8%
기 549
 
1.2%
정 254
 
0.5%
식 253
 
0.5%
종 191
 
0.4%
Other values (34) 828
 
1.8%
Common
ValueCountFrequency (%)
14874
55.8%
1 3062
 
11.5%
7 2717
 
10.2%
4 2320
 
8.7%
3 1442
 
5.4%
2 1284
 
4.8%
0 450
 
1.7%
5 267
 
1.0%
? 77
 
0.3%
( 42
 
0.2%
Other values (6) 128
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 46182
63.4%
ASCII 26663
36.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14874
55.8%
1 3062
 
11.5%
7 2717
 
10.2%
4 2320
 
8.7%
3 1442
 
5.4%
2 1284
 
4.8%
0 450
 
1.7%
5 267
 
1.0%
? 77
 
0.3%
( 42
 
0.2%
Other values (6) 128
 
0.5%
Hangul
ValueCountFrequency (%)
전 8107
17.6%
일 8085
17.5%
수 8069
17.5%
확 8058
17.4%
까 5894
12.8%
지 5894
12.8%
기 549
 
1.2%
정 254
 
0.5%
식 253
 
0.5%
종 191
 
0.4%
Other values (34) 828
 
1.8%

희석배수
Text

MISSING 

Distinct130
Distinct (%)1.4%
Missing499
Missing (%)5.0%
Memory size156.2 KiB
2023-12-11T07:08:17.690935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length6
Mean length5.7510788
Min length1

Characters and Unicode

Total characters54641
Distinct characters67
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)0.6%

Sample

1st row3,000배
2nd row1,000배(40ℓ/㎡)
3rd row2,000배
4th row-
5th row800ml/10a
ValueCountFrequency (%)
2,000배 4631
48.6%
3,000배 1476
 
15.5%
1,000배 1455
 
15.3%
604
 
6.3%
2,500배 215
 
2.3%
4,000배 177
 
1.9%
5,000배 121
 
1.3%
6,000배 115
 
1.2%
1,500배 94
 
1.0%
10,000배 71
 
0.7%
Other values (125) 562
 
5.9%
2023-12-11T07:08:17.994549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 25882
47.4%
배 8671
 
15.9%
, 8526
 
15.6%
2 4987
 
9.1%
1 1953
 
3.6%
3 1688
 
3.1%
- 604
 
1.1%
5 594
 
1.1%
/ 245
 
0.4%
4 212
 
0.4%
Other values (57) 1279
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 35543
65.0%
Other Letter 8880
 
16.3%
Other Punctuation 8800
 
16.1%
Dash Punctuation 604
 
1.1%
Lowercase Letter 536
 
1.0%
Close Punctuation 77
 
0.1%
Open Punctuation 77
 
0.1%
Uppercase Letter 54
 
0.1%
Other Symbol 36
 
0.1%
Space Separator 20
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
배 8671
97.6%
자 37
 
0.4%
상 34
 
0.4%
액 17
 
0.2%
원 14
 
0.2%
주 13
 
0.1%
직 11
 
0.1%
경 11
 
0.1%
고 11
 
0.1%
흉 11
 
0.1%
Other values (18) 50
 
0.6%
Decimal Number
ValueCountFrequency (%)
0 25882
72.8%
2 4987
 
14.0%
1 1953
 
5.5%
3 1688
 
4.7%
5 594
 
1.7%
4 212
 
0.6%
6 171
 
0.5%
8 37
 
0.1%
7 12
 
< 0.1%
9 7
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
a 134
25.0%
m 116
21.6%
g 107
20.0%
l 88
16.4%
k 46
 
8.6%
p 22
 
4.1%
b 11
 
2.1%
ℓ 6
 
1.1%
c 6
 
1.1%
Other Punctuation
ValueCountFrequency (%)
, 8526
96.9%
/ 245
 
2.8%
. 26
 
0.3%
& 1
 
< 0.1%
; 1
 
< 0.1%
# 1
 
< 0.1%
Other Symbol
ValueCountFrequency (%)
㎡ 24
66.7%
㎏ 4
 
11.1%
㎖ 4
 
11.1%
㎥ 3
 
8.3%
㎝ 1
 
2.8%
Uppercase Letter
ValueCountFrequency (%)
L 48
88.9%
H 2
 
3.7%
D 2
 
3.7%
B 2
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 604
100.0%
Close Punctuation
ValueCountFrequency (%)
) 77
100.0%
Open Punctuation
ValueCountFrequency (%)
( 77
100.0%
Space Separator
ValueCountFrequency (%)
20
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 45177
82.7%
Hangul 8880
 
16.3%
Latin 584
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
배 8671
97.6%
자 37
 
0.4%
상 34
 
0.4%
액 17
 
0.2%
원 14
 
0.2%
주 13
 
0.1%
직 11
 
0.1%
경 11
 
0.1%
고 11
 
0.1%
흉 11
 
0.1%
Other values (18) 50
 
0.6%
Common
ValueCountFrequency (%)
0 25882
57.3%
, 8526
 
18.9%
2 4987
 
11.0%
1 1953
 
4.3%
3 1688
 
3.7%
- 604
 
1.3%
5 594
 
1.3%
/ 245
 
0.5%
4 212
 
0.5%
6 171
 
0.4%
Other values (17) 315
 
0.7%
Latin
ValueCountFrequency (%)
a 134
22.9%
m 116
19.9%
g 107
18.3%
l 88
15.1%
L 48
 
8.2%
k 46
 
7.9%
p 22
 
3.8%
b 11
 
1.9%
c 6
 
1.0%
H 2
 
0.3%
Other values (2) 4
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 45719
83.7%
Hangul 8880
 
16.3%
CJK Compat 36
 
0.1%
Letterlike Symbols 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 25882
56.6%
, 8526
 
18.6%
2 4987
 
10.9%
1 1953
 
4.3%
3 1688
 
3.7%
- 604
 
1.3%
5 594
 
1.3%
/ 245
 
0.5%
4 212
 
0.5%
6 171
 
0.4%
Other values (23) 857
 
1.9%
Hangul
ValueCountFrequency (%)
배 8671
97.6%
자 37
 
0.4%
상 34
 
0.4%
액 17
 
0.2%
원 14
 
0.2%
주 13
 
0.1%
직 11
 
0.1%
경 11
 
0.1%
고 11
 
0.1%
흉 11
 
0.1%
Other values (18) 50
 
0.6%
CJK Compat
ValueCountFrequency (%)
㎡ 24
66.7%
㎏ 4
 
11.1%
㎖ 4
 
11.1%
㎥ 3
 
8.3%
㎝ 1
 
2.8%
Letterlike Symbols
ValueCountFrequency (%)
ℓ 6
100.0%

사용수량
Text

MISSING 

Distinct214
Distinct (%)2.5%
Missing1473
Missing (%)14.7%
Memory size156.2 KiB
2023-12-11T07:08:18.199071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length1
Mean length2.1041398
Min length1

Characters and Unicode

Total characters17942
Distinct characters75
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique81 ?
Unique (%)0.9%

Sample

1st row-
2nd row-
3rd row6㎏/10a
4th row-
5th row-
ValueCountFrequency (%)
7127
83.2%
6kg/10a 150
 
1.8%
300ml/10a 145
 
1.7%
50g/상자 93
 
1.1%
6㎏/10a 82
 
1.0%
300㎖/10a 58
 
0.7%
1ℓ/㎡ 54
 
0.6%
300g/10a 41
 
0.5%
3kg/10a 34
 
0.4%
1l/㎡ 29
 
0.3%
Other values (208) 748
 
8.7%
2023-12-11T07:08:18.533663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 7127
39.7%
0 2122
 
11.8%
/ 1361
 
7.6%
1 1288
 
7.2%
a 880
 
4.9%
g 577
 
3.2%
3 435
 
2.4%
m 431
 
2.4%
l 302
 
1.7%
k 298
 
1.7%
Other values (65) 3121
17.4%

Most occurring categories

ValueCountFrequency (%)
Dash Punctuation 7127
39.7%
Decimal Number 4738
26.4%
Lowercase Letter 2681
 
14.9%
Other Punctuation 1587
 
8.8%
Other Letter 885
 
4.9%
Other Symbol 454
 
2.5%
Uppercase Letter 181
 
1.0%
Close Punctuation 92
 
0.5%
Open Punctuation 92
 
0.5%
Modifier Symbol 65
 
0.4%
Other values (2) 40
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
자 146
16.5%
상 137
15.5%
액 104
11.8%
원 94
10.6%
흉 68
7.7%
경 68
7.7%
고 68
7.7%
직 68
7.7%
주 55
 
6.2%
종 14
 
1.6%
Other values (21) 63
7.1%
Decimal Number
ValueCountFrequency (%)
0 2122
44.8%
1 1288
27.2%
3 435
 
9.2%
5 294
 
6.2%
6 263
 
5.6%
2 152
 
3.2%
4 88
 
1.9%
7 46
 
1.0%
8 36
 
0.8%
9 14
 
0.3%
Lowercase Letter
ValueCountFrequency (%)
a 880
32.8%
g 577
21.5%
m 431
16.1%
l 302
 
11.3%
k 298
 
11.1%
ℓ 99
 
3.7%
p 46
 
1.7%
b 23
 
0.9%
c 23
 
0.9%
h 2
 
0.1%
Other Symbol
ValueCountFrequency (%)
㎏ 153
33.7%
㎖ 141
31.1%
㎡ 93
20.5%
㎥ 32
 
7.0%
㎝ 29
 
6.4%
㎠ 4
 
0.9%
㎎ 2
 
0.4%
Other Punctuation
ValueCountFrequency (%)
/ 1361
85.8%
. 127
 
8.0%
, 33
 
2.1%
; 22
 
1.4%
# 22
 
1.4%
& 22
 
1.4%
Uppercase Letter
ValueCountFrequency (%)
L 168
92.8%
H 4
 
2.2%
D 4
 
2.2%
B 4
 
2.2%
K 1
 
0.6%
Dash Punctuation
ValueCountFrequency (%)
- 7127
100.0%
Close Punctuation
ValueCountFrequency (%)
) 92
100.0%
Open Punctuation
ValueCountFrequency (%)
( 92
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 65
100.0%
Space Separator
ValueCountFrequency (%)
34
100.0%
Other Number
ValueCountFrequency (%)
² 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14294
79.7%
Latin 2763
 
15.4%
Hangul 885
 
4.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
자 146
16.5%
상 137
15.5%
액 104
11.8%
원 94
10.6%
흉 68
7.7%
경 68
7.7%
고 68
7.7%
직 68
7.7%
주 55
 
6.2%
종 14
 
1.6%
Other values (21) 63
7.1%
Common
ValueCountFrequency (%)
- 7127
49.9%
0 2122
 
14.8%
/ 1361
 
9.5%
1 1288
 
9.0%
3 435
 
3.0%
5 294
 
2.1%
6 263
 
1.8%
㎏ 153
 
1.1%
2 152
 
1.1%
㎖ 141
 
1.0%
Other values (20) 958
 
6.7%
Latin
ValueCountFrequency (%)
a 880
31.8%
g 577
20.9%
m 431
15.6%
l 302
 
10.9%
k 298
 
10.8%
L 168
 
6.1%
p 46
 
1.7%
b 23
 
0.8%
c 23
 
0.8%
H 4
 
0.1%
Other values (4) 11
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16498
92.0%
Hangul 885
 
4.9%
CJK Compat 454
 
2.5%
Letterlike Symbols 99
 
0.6%
None 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 7127
43.2%
0 2122
 
12.9%
/ 1361
 
8.2%
1 1288
 
7.8%
a 880
 
5.3%
g 577
 
3.5%
3 435
 
2.6%
m 431
 
2.6%
l 302
 
1.8%
k 298
 
1.8%
Other values (25) 1677
 
10.2%
CJK Compat
ValueCountFrequency (%)
㎏ 153
33.7%
㎖ 141
31.1%
㎡ 93
20.5%
㎥ 32
 
7.0%
㎝ 29
 
6.4%
㎠ 4
 
0.9%
㎎ 2
 
0.4%
Hangul
ValueCountFrequency (%)
자 146
16.5%
상 137
15.5%
액 104
11.8%
원 94
10.6%
흉 68
7.7%
경 68
7.7%
고 68
7.7%
직 68
7.7%
주 55
 
6.2%
종 14
 
1.6%
Other values (21) 63
7.1%
Letterlike Symbols
ValueCountFrequency (%)
ℓ 99
100.0%
None
ValueCountFrequency (%)
² 6
100.0%

단위
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9999 
10
 
1

Length

Max length4
Median length4
Mean length3.9998
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9999
> 99.9%
10 1
 
< 0.1%

Length

2023-12-11T07:08:18.667491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:08:18.756583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9999
> 99.9%
10 1
 
< 0.1%

사용횟수
Categorical

IMBALANCE 

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3회 이내
3603 
2회 이내
3409 
<NA>
1269 
1회 이내
994 
4회 이내
 
335
Other values (17)
390 

Length

Max length6
Median length5
Mean length4.8327
Min length1

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row2회 이내
2nd row5회 이내
3rd row4회 이내
4th row1회 이내
5th row<NA>

Common Values

ValueCountFrequency (%)
3회 이내 3603
36.0%
2회 이내 3409
34.1%
<NA> 1269
 
12.7%
1회 이내 994
 
9.9%
4회 이내 335
 
3.4%
5회 이내 268
 
2.7%
3 28
 
0.3%
? 23
 
0.2%
2 11
 
0.1%
1 11
 
0.1%
Other values (12) 49
 
0.5%

Length

2023-12-11T07:08:18.846499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
이내 8610
46.3%
3회 3605
19.4%
2회 3410
 
18.3%
na 1269
 
6.8%
1회 994
 
5.3%
4회 335
 
1.8%
5회 268
 
1.4%
36
 
0.2%
3 32
 
0.2%
2 12
 
0.1%
Other values (7) 39
 
0.2%

업등록번호
Real number (ℝ)

Distinct28
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.8617
Minimum6
Maximum151
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:08:18.957634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile6
Q18
median62
Q394
95-th percentile150
Maximum151
Range145
Interquartile range (IQR)86

Descriptive statistics

Standard deviation48.514315
Coefficient of variation (CV)0.74796551
Kurtosis-1.1049207
Mean64.8617
Median Absolute Deviation (MAD)54
Skewness0.30781482
Sum648617
Variance2353.6387
MonotonicityNot monotonic
2023-12-11T07:08:19.058005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
8 2028
20.3%
74 1135
11.3%
48 1104
11.0%
6 1033
10.3%
129 761
 
7.6%
94 755
 
7.5%
62 728
 
7.3%
143 464
 
4.6%
151 445
 
4.5%
73 362
 
3.6%
Other values (18) 1185
11.8%
ValueCountFrequency (%)
6 1033
10.3%
8 2028
20.3%
39 77
 
0.8%
48 1104
11.0%
56 211
 
2.1%
57 2
 
< 0.1%
58 92
 
0.9%
60 30
 
0.3%
61 32
 
0.3%
62 728
 
7.3%
ValueCountFrequency (%)
151 445
4.5%
150 166
 
1.7%
143 464
4.6%
137 4
 
< 0.1%
133 247
 
2.5%
129 761
7.6%
126 16
 
0.2%
125 3
 
< 0.1%
120 169
 
1.7%
103 5
 
0.1%

업등록종목
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
제조
6269 
수입
3731 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row수입
2nd row제조
3rd row수입
4th row제조
5th row제조

Common Values

ValueCountFrequency (%)
제조 6269
62.7%
수입 3731
37.3%

Length

2023-12-11T07:08:19.164392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:08:19.257847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제조 6269
62.7%
수입 3731
37.3%

법인명
Categorical

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
(주)농협케미컬
2028 
(주)태준아그로텍
1315 
아진케미칼(주)
1227 
성보화학(주)
1033 
(주)다보인터내셔널
761 
Other values (17)
3636 

Length

Max length15
Median length10
Mean length7.5643
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row아진케미칼(주)
2nd row(주)대신케미칼
3rd row미래아그로
4th row아진케미칼(주)
5th row유원에코사이언스(주)

Common Values

ValueCountFrequency (%)
(주)농협케미컬 2028
20.3%
(주)태준아그로텍 1315
13.2%
아진케미칼(주) 1227
12.3%
성보화학(주) 1033
10.3%
(주)다보인터내셔널 761
 
7.6%
미래아그로 755
 
7.5%
지넥스(주) 679
 
6.8%
유원에코사이언스(주) 531
 
5.3%
티아그로 464
 
4.6%
위즈팜 445
 
4.5%
Other values (12) 762
 
7.6%

Length

2023-12-11T07:08:19.377888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
주)농협케미컬 2028
20.2%
주)태준아그로텍 1315
13.1%
아진케미칼(주 1227
12.2%
성보화학(주 1033
10.3%
주)다보인터내셔널 761
 
7.6%
미래아그로 755
 
7.5%
지넥스(주 679
 
6.8%
유원에코사이언스(주 531
 
5.3%
티아그로 464
 
4.6%
위즈팜 445
 
4.4%
Other values (13) 801
 
8.0%

대표자
Text

Distinct54
Distinct (%)0.5%
Missing16
Missing (%)0.2%
Memory size156.2 KiB
2023-12-11T07:08:19.552720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length3
Mean length3.2878606
Min length3

Characters and Unicode

Total characters32826
Distinct characters66
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

Unique4 ?
Unique (%)< 0.1%

Sample

1st row진*수
2nd row최병진
3rd row윤**
4th row진*수
5th row김헌성, 김유인
ValueCountFrequency (%)
최*동 1341
 
13.3%
박*기 881
 
8.7%
진*수 848
 
8.4%
윤*선 650
 
6.4%
최 627
 
6.2%
윤*향 575
 
5.7%
최*진 516
 
5.1%
권*오 459
 
4.5%
김*성,김유인 401
 
4.0%
윤 372
 
3.7%
Other values (49) 3419
33.9%
2023-12-11T07:08:19.823595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 11624
35.4%
최 2533
 
7.7%
진 2026
 
6.2%
윤 1793
 
5.5%
박 1760
 
5.4%
동 1341
 
4.1%
김 1105
 
3.4%
기 1059
 
3.2%
수 971
 
3.0%
선 832
 
2.5%
Other values (56) 7782
23.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20678
63.0%
Other Punctuation 12043
36.7%
Space Separator 105
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
최 2533
 
12.2%
진 2026
 
9.8%
윤 1793
 
8.7%
박 1760
 
8.5%
동 1341
 
6.5%
김 1105
 
5.3%
기 1059
 
5.1%
수 971
 
4.7%
선 832
 
4.0%
정 705
 
3.4%
Other values (53) 6553
31.7%
Other Punctuation
ValueCountFrequency (%)
* 11624
96.5%
, 419
 
3.5%
Space Separator
ValueCountFrequency (%)
105
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20678
63.0%
Common 12148
37.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
최 2533
 
12.2%
진 2026
 
9.8%
윤 1793
 
8.7%
박 1760
 
8.5%
동 1341
 
6.5%
김 1105
 
5.3%
기 1059
 
5.1%
수 971
 
4.7%
선 832
 
4.0%
정 705
 
3.4%
Other values (53) 6553
31.7%
Common
ValueCountFrequency (%)
* 11624
95.7%
, 419
 
3.4%
105
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20678
63.0%
ASCII 12148
37.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 11624
95.7%
, 419
 
3.4%
105
 
0.9%
Hangul
ValueCountFrequency (%)
최 2533
 
12.2%
진 2026
 
9.8%
윤 1793
 
8.7%
박 1760
 
8.5%
동 1341
 
6.5%
김 1105
 
5.3%
기 1059
 
5.1%
수 971
 
4.7%
선 832
 
4.0%
정 705
 
3.4%
Other values (53) 6553
31.7%

제조/수입구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
제조
6269 
수입
3731 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row수입
2nd row제조
3rd row수입
4th row제조
5th row제조

Common Values

ValueCountFrequency (%)
제조 6269
62.7%
수입 3731
37.3%

Length

2023-12-11T07:08:19.930850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:08:20.007846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제조 6269
62.7%
수입 3731
37.3%

등록유효일자
Date

Distinct75
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2020-11-29 00:00:00
Maximum2031-03-28 00:00:00
2023-12-11T07:08:20.099764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:08:20.223789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

등록일자
Date

Distinct101
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2014-01-29 00:00:00
Maximum2020-10-20 00:00:00
2023-12-11T07:08:20.338439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:08:20.454219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

시험약제명
Categorical

IMBALANCE 

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9844 
옥솔린산 WG
 
43
사이에노피라펜.에톡사졸(20+3) SC
 
33
뷰프로페진.스피네토람(20+4) SC
 
28
인독사카브 EC
 
14
Other values (5)
 
38

Length

Max length28
Median length4
Mean length4.1743
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9844
98.4%
옥솔린산 WG 43
 
0.4%
사이에노피라펜.에톡사졸(20+3) SC 33
 
0.3%
뷰프로페진.스피네토람(20+4) SC 28
 
0.3%
인독사카브 EC 14
 
0.1%
글루포시네이트암모늄 SL 11
 
0.1%
글리포세이트이소프로필아민.엠시피에이(34+5) SL 10
 
0.1%
벤타존.엠시피에이(33.6+5.0) SL 9
 
0.1%
플루설파마이드 FG 4
 
< 0.1%
아족시스트로빈 ME 4
 
< 0.1%

Length

2023-12-11T07:08:20.560620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:08:20.664896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9844
96.9%
sc 61
 
0.6%
옥솔린산 43
 
0.4%
wg 43
 
0.4%
사이에노피라펜.에톡사졸(20+3 33
 
0.3%
sl 30
 
0.3%
뷰프로페진.스피네토람(20+4 28
 
0.3%
인독사카브 14
 
0.1%
ec 14
 
0.1%
글루포시네이트암모늄 11
 
0.1%
Other values (6) 35
 
0.3%

등록규격
Text

MISSING 

Distinct163
Distinct (%)1.7%
Missing375
Missing (%)3.8%
Memory size156.2 KiB
2023-12-11T07:08:20.936086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length3.9362078
Min length1

Characters and Unicode

Total characters37886
Distinct characters23
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)0.1%

Sample

1st row1.8
2nd row70
3rd row21.7
4th row0.2
5th row10
ValueCountFrequency (%)
2.15 1510
15.7%
20 916
 
9.5%
1.8 873
 
9.1%
10 837
 
8.7%
21.7 819
 
8.5%
5 685
 
7.1%
50 245
 
2.5%
25 225
 
2.3%
2 203
 
2.1%
18 194
 
2.0%
Other values (154) 3137
32.5%
2023-12-11T07:08:21.312048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 6264
16.5%
. 5692
15.0%
2 5532
14.6%
5 4156
11.0%
0 3671
9.7%
8 2017
 
5.3%
+ 1757
 
4.6%
) 1634
 
4.3%
( 1634
 
4.3%
7 1524
 
4.0%
Other values (13) 4005
10.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 26894
71.0%
Other Punctuation 5724
 
15.1%
Math Symbol 1789
 
4.7%
Close Punctuation 1634
 
4.3%
Open Punctuation 1634
 
4.3%
Lowercase Letter 160
 
0.4%
Modifier Symbol 32
 
0.1%
Space Separator 19
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 6264
23.3%
2 5532
20.6%
5 4156
15.5%
0 3671
13.6%
8 2017
 
7.5%
7 1524
 
5.7%
4 1403
 
5.2%
3 1007
 
3.7%
6 681
 
2.5%
9 639
 
2.4%
Lowercase Letter
ValueCountFrequency (%)
c 32
20.0%
f 32
20.0%
u 32
20.0%
m 32
20.0%
l 32
20.0%
Other Punctuation
ValueCountFrequency (%)
. 5692
99.4%
/ 32
 
0.6%
Math Symbol
ValueCountFrequency (%)
+ 1757
98.2%
× 32
 
1.8%
Close Punctuation
ValueCountFrequency (%)
) 1634
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1634
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 32
100.0%
Space Separator
ValueCountFrequency (%)
19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 37726
99.6%
Latin 160
 
0.4%

Most frequent character per script

Common
ValueCountFrequency (%)
1 6264
16.6%
. 5692
15.1%
2 5532
14.7%
5 4156
11.0%
0 3671
9.7%
8 2017
 
5.3%
+ 1757
 
4.7%
) 1634
 
4.3%
( 1634
 
4.3%
7 1524
 
4.0%
Other values (8) 3845
10.2%
Latin
ValueCountFrequency (%)
c 32
20.0%
f 32
20.0%
u 32
20.0%
m 32
20.0%
l 32
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 37854
99.9%
None 32
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 6264
16.5%
. 5692
15.0%
2 5532
14.6%
5 4156
11.0%
0 3671
9.7%
8 2017
 
5.3%
+ 1757
 
4.6%
) 1634
 
4.3%
( 1634
 
4.3%
7 1524
 
4.0%
Other values (12) 3973
10.5%
None
ValueCountFrequency (%)
× 32
100.0%

등록여부정보
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
등록된 품목임
10000 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row등록된 품목임
2nd row등록된 품목임
3rd row등록된 품목임
4th row등록된 품목임
5th row등록된 품목임

Common Values

ValueCountFrequency (%)
등록된 품목임 10000
100.0%

Length

2023-12-11T07:08:21.431231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:08:21.508243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
등록된 10000
50.0%
품목임 10000
50.0%

사람/가축독성
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
저독성(Ⅳ)
7711 
보통독성(Ⅲ)
2253 
고독성(Ⅱ)
 
36

Length

Max length7
Median length6
Mean length6.2253
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row보통독성(Ⅲ)
2nd row저독성(Ⅳ)
3rd row저독성(Ⅳ)
4th row저독성(Ⅳ)
5th row보통독성(Ⅲ)

Common Values

ValueCountFrequency (%)
저독성(Ⅳ) 7711
77.1%
보통독성(Ⅲ) 2253
 
22.5%
고독성(Ⅱ) 36
 
0.4%

Length

2023-12-11T07:08:21.590940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:08:21.686004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
저독성(ⅳ 7711
77.1%
보통독성(ⅲ 2253
 
22.5%
고독성(ⅱ 36
 
0.4%

생태독극물등급
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Ⅲ급
4511 
Ⅰ급
3575 
Ⅱ급
1914 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowⅠ급
2nd rowⅢ급
3rd rowⅡ급
4th rowⅠ급
5th rowⅢ급

Common Values

ValueCountFrequency (%)
Ⅲ급 4511
45.1%
Ⅰ급 3575
35.8%
Ⅱ급 1914
19.1%

Length

2023-12-11T07:08:21.785232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:08:21.867958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ⅲ급 4511
45.1%
ⅰ급 3575
35.8%
ⅱ급 1914
19.1%

소재지도로명주소
Categorical

Distinct23
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경기도 성남시 중원구 둔촌대로457번길 27
2070 
경기도 성남시 분당구 황새울로312번길 26
2028 
경기도 성남시 분당구 대왕판교로 660
1227 
경기도 안산시 단원구 산단로19번길 168
851 
경기도 남양주시 별내중앙로 24
761 
Other values (18)
3063 

Length

Max length26
Median length24
Mean length21.7416
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도 성남시 분당구 대왕판교로 660
2nd row경기도 화성시 팔탄면 3.1만세로 768
3rd row경기도 성남시 중원구 둔촌대로457번길 27
4th row경기도 성남시 분당구 대왕판교로 660
5th row경기도 용인시 기흥구 동백중앙로16번길 16-4

Common Values

ValueCountFrequency (%)
경기도 성남시 중원구 둔촌대로457번길 27 2070
20.7%
경기도 성남시 분당구 황새울로312번길 26 2028
20.3%
경기도 성남시 분당구 대왕판교로 660 1227
12.3%
경기도 안산시 단원구 산단로19번길 168 851
8.5%
경기도 남양주시 별내중앙로 24 761
 
7.6%
경기도 수원시 권선구 금곡로 204 679
 
6.8%
경기도 용인시 기흥구 동백중앙로16번길 16-4 531
 
5.3%
경기도 수원시 권선구 서호로 89 469
 
4.7%
경기도 남양주시 덕송1로55번길 14 445
 
4.5%
경기도 고양시 일산동구 정발산로 24 290
 
2.9%
Other values (13) 649
 
6.5%

Length

2023-12-11T07:08:21.981854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 9857
20.4%
성남시 5358
 
11.1%
분당구 3255
 
6.8%
중원구 2103
 
4.4%
둔촌대로457번길 2070
 
4.3%
27 2070
 
4.3%
황새울로312번길 2028
 
4.2%
26 2028
 
4.2%
수원시 1330
 
2.8%
권선구 1314
 
2.7%
Other values (54) 16805
34.9%

소재지지번주소
Categorical

Distinct32
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경기도 성남시 분당구 서현동 265-3번지 센트럴타워 10층
1241 
경기도 성남시 분당구 삼평동 670번지 1-A동 1012호(유스페이스 1A)
1135 
경기도 안산시 단원구 목내동 504번지
851 
경기도 성남시 중원구 상대원동 311-3번지
850 
경기도 성남시 분당구 서현동 265-3번지 10층
787 
Other values (27)
5136 

Length

Max length49
Median length43
Mean length33.6854
Min length19

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row경기도 성남시 분당구 삼평동 670번지 유스페이스빌딩1 A동 1012호
2nd row경기도 화성시 팔탄면 매곡리 180-7번지
3rd row경기도 성남시 중원구 상대원동 311-3번지 성남우림라이온스밸리 607호
4th row경기도 성남시 분당구 삼평동 670번지 1-A동 1012호(유스페이스 1A)
5th row경기도 용인시 기흥구 중동 1033번지 에이스동백타워 7층, 1-709호, 1-710호

Common Values

ValueCountFrequency (%)
경기도 성남시 분당구 서현동 265-3번지 센트럴타워 10층 1241
12.4%
경기도 성남시 분당구 삼평동 670번지 1-A동 1012호(유스페이스 1A) 1135
11.3%
경기도 안산시 단원구 목내동 504번지 851
8.5%
경기도 성남시 중원구 상대원동 311-3번지 850
8.5%
경기도 성남시 분당구 서현동 265-3번지 10층 787
 
7.9%
경기도 남양주시 별내동 1006-3번지 이레타워 405호 761
 
7.6%
경기도 성남시 중원구 상대원동 311-3번지 성남우림라이온스밸리 607호 755
 
7.5%
경기도 수원시 권선구 금곡동 1118-1번지 세종타운721 8층 4호 679
 
6.8%
경기도 성남시 중원구 상대원동 311-3번지 성남우림라이온스밸리 606호 465
 
4.7%
경기도 수원시 권선구 서둔동 103-2번지 서울대학교 농생명과학창업지원센터 3동 203호 464
 
4.6%
Other values (22) 2012
20.1%

Length

2023-12-11T07:08:22.120040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 9894
 
14.7%
성남시 5358
 
8.0%
분당구 3255
 
4.8%
상대원동 2103
 
3.1%
중원구 2103
 
3.1%
311-3번지 2070
 
3.1%
265-3번지 2028
 
3.0%
서현동 2028
 
3.0%
10층 2028
 
3.0%
수원시 1332
 
2.0%
Other values (104) 35045
52.1%

위도
Real number (ℝ)

MISSING 

Distinct37
Distinct (%)0.4%
Missing143
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean37.408222
Minimum37.112833
Maximum37.677656
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:08:22.457816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.112833
5-th percentile37.256366
Q137.303869
median37.40058
Q337.433953
95-th percentile37.655893
Maximum37.677656
Range0.56482289
Interquartile range (IQR)0.13008393

Descriptive statistics

Standard deviation0.12325859
Coefficient of variation (CV)0.0032949599
Kurtosis0.049119501
Mean37.408222
Median Absolute Deviation (MAD)0.033373093
Skewness0.83094289
Sum368732.84
Variance0.01519268
MonotonicityNot monotonic
2023-12-11T07:08:22.584495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
37.4339530685 1883
18.8%
37.3834691837 1805
18.1%
37.4005799752 1128
11.3%
37.2736954342 679
 
6.8%
37.3038691408 618
 
6.2%
37.6454335145 607
 
6.1%
37.2563658009 518
 
5.2%
37.6668404232 445
 
4.5%
37.2681405706 440
 
4.4%
37.303252115 233
 
2.3%
Other values (27) 1501
15.0%
ValueCountFrequency (%)
37.1128331812 49
 
0.5%
37.2425168462 1
 
< 0.1%
37.24265205 15
 
0.1%
37.2563658009 518
5.2%
37.256410123 13
 
0.1%
37.2672963146 29
 
0.3%
37.2681405706 440
4.4%
37.2714038048 24
 
0.2%
37.271514104 142
 
1.4%
37.2736954342 679
6.8%
ValueCountFrequency (%)
37.6776560747 13
 
0.1%
37.6772903037 5
 
0.1%
37.6668404232 445
4.5%
37.6592444171 5
 
0.1%
37.6591319122 2
 
< 0.1%
37.6558930852 226
 
2.3%
37.6546825345 64
 
0.6%
37.6454335145 607
6.1%
37.6453646902 154
 
1.5%
37.5797519232 76
 
0.8%

경도
Real number (ℝ)

MISSING 

Distinct37
Distinct (%)0.4%
Missing143
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean127.06852
Minimum126.76733
Maximum127.69008
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:08:22.706832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.76733
5-th percentile126.76736
Q1126.98708
median127.12267
Q3127.16512
95-th percentile127.17016
Maximum127.69008
Range0.92275021
Interquartile range (IQR)0.17804007

Descriptive statistics

Standard deviation0.13006352
Coefficient of variation (CV)0.00102357
Kurtosis1.2893264
Mean127.06852
Median Absolute Deviation (MAD)0.042449607
Skewness-1.2405308
Sum1252514.4
Variance0.016916519
MonotonicityNot monotonic
2023-12-11T07:08:22.821102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
127.1701632418 1883
18.8%
127.1226706167 1805
18.1%
127.1068799859 1128
11.3%
126.9533508895 679
 
6.8%
126.7673552476 618
 
6.2%
127.1262122993 607
 
6.1%
127.1651202242 518
 
5.2%
127.1178163784 445
 
4.5%
126.9870801562 440
 
4.4%
126.7681510928 233
 
2.3%
Other values (27) 1501
15.0%
ValueCountFrequency (%)
126.7673279209 2
 
< 0.1%
126.7673462009 5
 
0.1%
126.7673552476 618
6.2%
126.7681510928 233
 
2.3%
126.7719705633 226
 
2.3%
126.7726001141 64
 
0.6%
126.8068989384 13
 
0.1%
126.8078685006 5
 
0.1%
126.8679487476 76
 
0.8%
126.8816865516 49
 
0.5%
ValueCountFrequency (%)
127.6900781314 14
 
0.1%
127.2548977876 4
 
< 0.1%
127.1779161966 22
 
0.2%
127.1776552165 8
 
0.1%
127.1725190689 3
 
< 0.1%
127.1701632418 1883
18.8%
127.1700933423 187
 
1.9%
127.1651202242 518
 
5.2%
127.1650450434 13
 
0.1%
127.1481097299 33
 
0.3%

Sample

시군명농약명농약영문명상표명등록번호제제형태농약구분용도명병해충/잡초명작물명농약사용방법사용적기희석배수사용수량단위사용횟수업등록번호업등록종목법인명대표자제조/수입구분등록유효일자등록일자시험약제명등록규격등록여부정보사람/가축독성생태독극물등급소재지도로명주소소재지지번주소위도경도
17260성남시아바멕틴 미탁제Abamectin안티충58-살충-4미탁제원예살충제차먼지응애시금치신초피해 발생초기수확 14일 전3,000배-<NA>2회 이내58수입아진케미칼(주)진*수수입2021-03-282017-09-20<NA>1.8등록된 품목임보통독성(Ⅲ)Ⅰ급경기도 성남시 분당구 대왕판교로 660경기도 성남시 분당구 삼평동 670번지 유스페이스빌딩1 A동 1012호37.40058127.10688
22673화성시티오파네이트메틸 수화제thiophanate-methyl샹그리라62-살균-6수화제수도살균제자주날개무늬병사과5월중순 수관부위 토양관주처리수확 21일 전까지1,000배(40ℓ/㎡)<NA><NA>5회 이내62제조(주)대신케미칼최병진제조2021-12-062016-03-31<NA>70등록된 품목임저독성(Ⅳ)Ⅲ급경기도 화성시 팔탄면 3.1만세로 768경기도 화성시 팔탄면 매곡리 180-7번지37.112833126.881687
11184성남시아족시스트로빈 액상수화제Azoxystrobin아너스94-살균-15액상수화제원예살균제노균병오이발병초부터 7일간격수확 3일 전까지2,000배-<NA>4회 이내94수입미래아그로윤**수입2027-12-312019-02-12<NA>21.7등록된 품목임저독성(Ⅳ)Ⅱ급경기도 성남시 중원구 둔촌대로457번길 27경기도 성남시 중원구 상대원동 311-3번지 성남우림라이온스밸리 607호37.433953127.170163
5775성남시비펜트린 입제Bifenthrin조쿠만74-살충-26입제원예살충제거세미나방배추정식전정식기-6㎏/10a<NA>1회 이내74제조아진케미칼(주)진*수제조2024-01-292019-04-12<NA>0.2등록된 품목임저독성(Ⅳ)Ⅰ급경기도 성남시 분당구 대왕판교로 660경기도 성남시 분당구 삼평동 670번지 1-A동 1012호(유스페이스 1A)37.40058127.10688
16100용인시글루포시네이트암모늄 액제Glufosinate-ammonium초전사73-제초-1액제원예제초제일년생잡초 및 다년생잡초비농경지잡초생육기 잡초경엽처리<NA>800ml/10a<NA><NA><NA>73제조유원에코사이언스(주)김헌성, 김유인제조2026-12-062018-03-19<NA><NA>등록된 품목임보통독성(Ⅲ)Ⅲ급경기도 용인시 기흥구 동백중앙로16번길 16-4경기도 용인시 기흥구 중동 1033번지 에이스동백타워 7층, 1-709호, 1-710호37.25641127.165045
16770성남시디페노코나졸 입상수화제Difenoconazole내비균94-살균-12입상수화제원예살균제검은무늬병열무발병초 7일간격수확 14일 전까지2,000배<NA><NA>2회 이내94수입미래아그로윤*향수입2020-11-292017-10-19<NA>10등록된 품목임저독성(Ⅳ)Ⅲ급경기도 성남시 중원구 둔촌대로457번길 27경기도 성남시 중원구 상대원동 311-3번지 성남우림라이온스밸리 607호37.433953127.170163
20019남양주시에마멕틴벤조에이트 유제emamectin benzoate압사충129-살충-7유제원예살충제배추흰나비순무다발생기수확 14 일전까지2,000배-<NA>2회 이내129수입(주)다보인터내셔널권*오수입2028-12-312016-11-01<NA>2.15등록된 품목임저독성(Ⅳ)Ⅲ급경기도 남양주시 별내중앙로 24경기도 남양주시 별내동 1006-3번지 이레타워 405호37.645434127.126212
13096성남시옥솔린산.발리다마이신에이 입상수화제Oxolinic acid+Validamycin A세균탄8-살균-396입상수화제원예살균제세균구멍병자두발병직전 10일간격수확 7일 전까지1,000배<NA><NA>3회 이내8제조(주)농협케미컬최*동제조2028-09-062018-09-07<NA>20(10+10)등록된 품목임저독성(Ⅳ)Ⅲ급경기도 성남시 분당구 황새울로312번길 26경기도 성남시 분당구 서현동 265-3번지 센트럴타워 10층37.383469127.122671
25800남양주시아바멕틴 유제Abamectin슈퍼캐치129-살충-1유제원예살충제파총채벌레양배추발생초기 7일간격 경엽처리수확 14일 전3,000배<NA><NA>2회 이내129수입(주)다보인터내셔널주지에수입2026-12-062014-10-16<NA>1.8등록된 품목임보통독성(Ⅲ)Ⅰ급경기도 남양주시 별내중앙로 24경기도 남양주시 별내동 1006-3번지 이레타워 405호37.645365127.126172
13779성남시플룩사메타마이드 유탁제Fluxametamide다트롤8-살충-394유탁제원예살충제귤녹응애감귤발생초기 7일간격수확 14일전1,000배-<NA>2회 이내8제조(주)농협케미컬최*동제조2028-05-142018-05-15<NA>4.5등록된 품목임저독성(Ⅳ)Ⅰ급경기도 성남시 분당구 황새울로312번길 26경기도 성남시 분당구 서현동 265-3번지 센트럴타워 10층37.383469127.122671
시군명농약명농약영문명상표명등록번호제제형태농약구분용도명병해충/잡초명작물명농약사용방법사용적기희석배수사용수량단위사용횟수업등록번호업등록종목법인명대표자제조/수입구분등록유효일자등록일자시험약제명등록규격등록여부정보사람/가축독성생태독극물등급소재지도로명주소소재지지번주소위도경도
25356성남시아세타미프리드 입상수화제Acetamiprid스와튼48-살충-22입상수화제원예살충제사과혹진딧물사과다발생기수확 21일 전까지2,000배-<NA>3회 이내48제조(주)태준아그로텍박*기제조2021-03-282014-12-26<NA>8등록된 품목임저독성(Ⅳ)Ⅲ급경기도 성남시 중원구 둔촌대로457번길 27경기도 성남시 중원구 상대원동 311-3번지37.433953127.170163
19547남양주시에마멕틴벤조에이트 유제emamectin benzoate압사충129-살충-7유제원예살충제파밤나방당근다발생기수확 7일 전까지2,000배-<NA>2회 이내129수입(주)다보인터내셔널권**수입2028-12-312016-11-01<NA>2.15등록된 품목임저독성(Ⅳ)Ⅲ급경기도 남양주시 별내중앙로 24경기도 남양주시 별내동 1006-3번지 이레타워 405호37.645434127.126212
4508성남시비펜트린.클로란트라닐리프롤 액상수화제Bifenthrin+Chlorantraniliprole판듀8-살충-409액상수화제원예살충제썩덩나무노린재사과발생초기 10일간격수확 14일 전까지2,000배<NA><NA>3회 이내8제조(주)농협케미컬최*동제조2029-04-222019-04-23<NA>6(2+4)등록된 품목임보통독성(Ⅲ)Ⅰ급경기도 성남시 분당구 황새울로312번길 26경기도 성남시 분당구 서현동 265-3번지 10층37.383469127.122671
2669성남시메탈락실.테부코나졸 입제Metalaxyl+Tebuconazole역균탄74-살균-34입제원예살균제역병고추(단고추류포함)정식전정식기<NA>6kg/10a<NA>1회 이내74제조아진케미칼(주)진*수제조2025-07-222019-09-23<NA>3(1.5+1.5)등록된 품목임저독성(Ⅳ)Ⅲ급경기도 성남시 분당구 대왕판교로 660경기도 성남시 분당구 삼평동 670번지 1-A동 1012호(유스페이스 1A)37.40058127.10688
2132성남시에토펜프록스 유탁제Etofenprox충졸라74-살충-35유탁제수도살충제갈색날개노린재매실발생초 10일간격수확 14일 전까지1,000배-<NA>2회 이내74제조아진케미칼(주)진*수제조2029-06-302019-10-21<NA>10등록된 품목임저독성(Ⅳ)Ⅲ급경기도 성남시 분당구 대왕판교로 660경기도 성남시 분당구 삼평동 670번지 1-A동 1012호(유스페이스 1A)37.40058127.10688
13988성남시플루아지남 액상수화제Fluazinam언더힐74-살균-13액상수화제원예살균제뿌리혹병배추정식전 토양분무처리정식기200배(100ml/㎡)<NA><NA>1회 이내74제조아진케미칼(주)진남수제조2026-12-062018-04-18<NA><NA>등록된 품목임저독성(Ⅳ)Ⅰ급경기도 성남시 분당구 대왕판교로 660경기도 성남시 분당구 삼평동 670번지 1-A동 1012호(유스페이스 1A)37.400611127.106932
18537남양주시아족시스트로빈 액상수화제Azoxystrobin균디스129-살균-6액상수화제원예살균제노균병들깨(잎)발병초기 7일간격수확 5일 전2,000배-<NA>2회 이내129수입(주)다보인터내셔널권*오수입2027-12-312016-11-16<NA>21.7등록된 품목임저독성(Ⅳ)Ⅱ급경기도 남양주시 별내중앙로 24경기도 남양주시 별내동 1006-3번지 이레타워 405호37.645434127.126212
23613안산시피라클로스트로빈.테부코나졸 액상수화제Pyraclostrobin+Tebuconazole포르투나6-살균-255액상수화제원예살균제둥근무늬낙엽병감(단감포함)6월 상순부터 10일간격수확 21일 전까지3,000배-<NA>3회 이내6제조성보화학(주)윤*선제조2025-07-222015-07-23<NA>18(9+9)등록된 품목임저독성(Ⅳ)Ⅰ급경기도 안산시 단원구 산단로19번길 168경기도 안산시 단원구 목내동 504번지37.303869126.767355
26003남양주시아바멕틴 유제Abamectin슈퍼캐치129-살충-1유제원예살충제응애류감초발생초기수확 14일 전까지3,000배-<NA>3회 이내129수입(주)다보인터내셔널권*오수입2026-12-062014-10-16<NA>1.8등록된 품목임보통독성(Ⅲ)Ⅰ급경기도 남양주시 별내중앙로 24경기도 남양주시 별내동 1006-3번지 이레타워 405호37.645434127.126212
4513성남시피메트로진 수화제Pymetrozine죠스48-살충-44수화제원예살충제진딧물류근대발생초기수확 5일 전까지3,000배<NA><NA>2회 이내48제조(주)태준아그로텍박*기제조2027-12-312019-04-23<NA>25등록된 품목임저독성(Ⅳ)Ⅲ급경기도 성남시 중원구 둔촌대로457번길 27경기도 성남시 중원구 상대원동 311-3번지37.433953127.170163

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시군명농약명농약영문명상표명등록번호제제형태농약구분용도명병해충/잡초명작물명농약사용방법사용적기희석배수사용수량단위사용횟수업등록번호업등록종목법인명대표자제조/수입구분등록유효일자등록일자시험약제명등록규격등록여부정보사람/가축독성생태독극물등급소재지도로명주소소재지지번주소위도경도# duplicates
4고양시인독사카브 액상수화제Indoxacarb막아촘촘133-살충-3액상수화제원예살충제도둑나방양배추유충발생초기수확 7일 전까지1,000배-<NA>3회 이내133수입초록팜(주)황*진수입2023-03-262018-07-05<NA>5등록된 품목임저독성(Ⅳ)Ⅲ급경기도 고양시 일산동구 정발산로 24경기도 고양시 일산동구 장항동 868번지 웨스턴타워2 티2-614호37.655893126.7719713
6고양시인독사카브 액상수화제Indoxacarb막아촘촘133-살충-3액상수화제원예살충제열대거세미나방벼발생초기수확 21일 전까지2,000배-<NA>3회 이내133수입초록팜(주)황*진수입2023-03-262018-07-05<NA>5등록된 품목임저독성(Ⅳ)Ⅲ급경기도 고양시 일산동구 정발산로 24경기도 고양시 일산동구 장항동 868번지 웨스턴타워2 티2-614호37.655893126.7719713
21고양시클로르페나피르 액상수화제Chlorfenapyr클린메이커133-살충-2액상수화제원예살충제도둑나방청경채발생초기수확14일전2,000배-<NA>2회 이내133수입초록팜(주)황*진수입2026-12-312018-04-11<NA>10등록된 품목임저독성(Ⅳ)Ⅰ급경기도 고양시 일산동구 정발산로 24경기도 고양시 일산동구 장항동 868번지 웨스턴타워2 티2-614호37.655893126.7719713
23고양시클로르페나피르 액상수화제Chlorfenapyr클린메이커133-살충-2액상수화제원예살충제사과굴나방사과발생초기 7일간격수확 30일 전까지2,000배-<NA>3회 이내133수입초록팜(주)황*진수입2026-12-312018-04-11<NA>10등록된 품목임저독성(Ⅳ)Ⅰ급경기도 고양시 일산동구 정발산로 24경기도 고양시 일산동구 장항동 868번지 웨스턴타워2 티2-614호37.655893126.7719713
26고양시플루디옥소닐 액상수화제Fludioxonil팡이별133-살균-5액상수화제원예살균제균핵병유채발병초 10일간격수확 21일 전까지2,000배-<NA>2회 이내133수입초록팜(주)황*진수입2022-03-212019-02-12<NA>20등록된 품목임저독성(Ⅳ)Ⅱ급경기도 고양시 일산동구 정발산로 24경기도 고양시 일산동구 장항동 868번지 웨스턴타워2 티2-614호37.655893126.7719713
28고양시플루디옥소닐 액상수화제Fludioxonil팡이별133-살균-5액상수화제원예살균제잿빛곰팡이병가지발병초 10일간격수확 2일 전까지2,000배-<NA>3회 이내133수입초록팜(주)황*진수입2022-03-212019-02-12<NA>20등록된 품목임저독성(Ⅳ)Ⅱ급경기도 고양시 일산동구 정발산로 24경기도 고양시 일산동구 장항동 868번지 웨스턴타워2 티2-614호37.655893126.7719713
29고양시플루디옥소닐 액상수화제Fludioxonil팡이별133-살균-5액상수화제원예살균제잿빛곰팡이병금귤발병초기 10일간격수확 14일 전2,000배-<NA>3회 이내133수입초록팜(주)황*진수입2022-03-212019-02-12<NA>20등록된 품목임저독성(Ⅳ)Ⅱ급경기도 고양시 일산동구 정발산로 24경기도 고양시 일산동구 장항동 868번지 웨스턴타워2 티2-614호37.655893126.7719713
34고양시플루디옥소닐 액상수화제Fludioxonil팡이별133-살균-5액상수화제원예살균제잿빛곰팡이병양배추발병초기 7일간격수확 7일 전2,000배-<NA>2회 이내133수입초록팜(주)황*진수입2022-03-212019-02-12<NA>20등록된 품목임저독성(Ⅳ)Ⅱ급경기도 고양시 일산동구 정발산로 24경기도 고양시 일산동구 장항동 868번지 웨스턴타워2 티2-614호37.655893126.7719713
38고양시플루디옥소닐 액상수화제Fludioxonil팡이별133-살균-5액상수화제원예살균제흰비단병취나물정식시(복토전)수확 7일 전까지3,000배-<NA>3회 이내133수입초록팜(주)황*진수입2022-03-212019-02-12<NA>20등록된 품목임저독성(Ⅳ)Ⅱ급경기도 고양시 일산동구 정발산로 24경기도 고양시 일산동구 장항동 868번지 웨스턴타워2 티2-614호37.655893126.7719713
41광주시플라자설퓨론 입상수화제Flazasulfuron시바겐137-제초-1입상수화제원예제초제일년생잡초한국잔디잡초 생육초기(바랭이 3엽기)<NA><NA>30g/10a<NA><NA>137수입지우바이오텍 주식회사정*연수입2027-09-302019-07-05<NA>25등록된 품목임저독성(Ⅳ)Ⅲ급경기도 광주시 경안안길 43경기도 광주시 경안동 83-30번지 2층37.412075127.2548983