Overview

Dataset statistics

Number of variables8
Number of observations2264
Missing cells28
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory143.8 KiB
Average record size in memory65.1 B

Variable types

Numeric1
Text5
Categorical2

Dataset

Description국립농산물품질관리원에서 관리하는 유기농업자재 현황(공시번호, 상표명(자재명), 자재구분, 사업자, 공시기관, 연락처(사업장), 제조장주소)
Author국립농산물품질관리원
URLhttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20191011000000001208

Alerts

연락처(사업장) has 25 (1.1%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-11 03:05:39.266190
Analysis finished2023-12-11 03:05:41.019430
Duration1.75 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct2264
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1132.5
Minimum1
Maximum2264
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.0 KiB
2023-12-11T12:05:41.128058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile114.15
Q1566.75
median1132.5
Q31698.25
95-th percentile2150.85
Maximum2264
Range2263
Interquartile range (IQR)1131.5

Descriptive statistics

Standard deviation653.70483
Coefficient of variation (CV)0.5772228
Kurtosis-1.2
Mean1132.5
Median Absolute Deviation (MAD)566
Skewness0
Sum2563980
Variance427330
MonotonicityStrictly increasing
2023-12-11T12:05:41.265706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1514 1
 
< 0.1%
1508 1
 
< 0.1%
1509 1
 
< 0.1%
1510 1
 
< 0.1%
1511 1
 
< 0.1%
1512 1
 
< 0.1%
1513 1
 
< 0.1%
1515 1
 
< 0.1%
1506 1
 
< 0.1%
Other values (2254) 2254
99.6%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
2264 1
< 0.1%
2263 1
< 0.1%
2262 1
< 0.1%
2261 1
< 0.1%
2260 1
< 0.1%
2259 1
< 0.1%
2258 1
< 0.1%
2257 1
< 0.1%
2256 1
< 0.1%
2255 1
< 0.1%

공시번호
Text

Distinct1944
Distinct (%)85.9%
Missing0
Missing (%)0.0%
Memory size17.8 KiB
2023-12-11T12:05:41.492621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length10
Mean length11.829947
Min length10

Characters and Unicode

Total characters26783
Distinct characters20
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

Unique1670 ?
Unique (%)73.8%

Sample

1st row공시-2-5-133
2nd row공시-2-3-149
3rd row공시-2-5-301(공시-1-5-046)
4th row공시-2-4-135
5th row공시-2-5-217
ValueCountFrequency (%)
공시-3-5-054 4
 
0.2%
공시-3-2-102 4
 
0.2%
공시-1-2-154 4
 
0.2%
공시-1-5-089 4
 
0.2%
공시-1-6-052 4
 
0.2%
공시-2-5-002 3
 
0.1%
공시-1-3-107 3
 
0.1%
공시-2-3-236 3
 
0.1%
공시-2-3-227 3
 
0.1%
공시-2-3-806 3
 
0.1%
Other values (1942) 2243
98.5%
2023-12-11T12:05:41.958742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 7823
29.2%
3 2768
 
10.3%
공 2607
 
9.7%
시 2607
 
9.7%
2 2570
 
9.6%
1 1582
 
5.9%
0 1390
 
5.2%
5 1127
 
4.2%
4 1081
 
4.0%
6 882
 
3.3%
Other values (10) 2346
 
8.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13040
48.7%
Dash Punctuation 7823
29.2%
Other Letter 5218
19.5%
Open Punctuation 344
 
1.3%
Close Punctuation 344
 
1.3%
Space Separator 14
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 2768
21.2%
2 2570
19.7%
1 1582
12.1%
0 1390
10.7%
5 1127
8.6%
4 1081
 
8.3%
6 882
 
6.8%
7 644
 
4.9%
8 514
 
3.9%
9 482
 
3.7%
Other Letter
ValueCountFrequency (%)
공 2607
50.0%
시 2607
50.0%
품 1
 
< 0.1%
질 1
 
< 0.1%
인 1
 
< 0.1%
증 1
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 7823
100.0%
Open Punctuation
ValueCountFrequency (%)
( 344
100.0%
Close Punctuation
ValueCountFrequency (%)
) 344
100.0%
Space Separator
ValueCountFrequency (%)
14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 21565
80.5%
Hangul 5218
 
19.5%

Most frequent character per script

Common
ValueCountFrequency (%)
- 7823
36.3%
3 2768
 
12.8%
2 2570
 
11.9%
1 1582
 
7.3%
0 1390
 
6.4%
5 1127
 
5.2%
4 1081
 
5.0%
6 882
 
4.1%
7 644
 
3.0%
8 514
 
2.4%
Other values (4) 1184
 
5.5%
Hangul
ValueCountFrequency (%)
공 2607
50.0%
시 2607
50.0%
품 1
 
< 0.1%
질 1
 
< 0.1%
인 1
 
< 0.1%
증 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21565
80.5%
Hangul 5218
 
19.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 7823
36.3%
3 2768
 
12.8%
2 2570
 
11.9%
1 1582
 
7.3%
0 1390
 
6.4%
5 1127
 
5.2%
4 1081
 
5.0%
6 882
 
4.1%
7 644
 
3.0%
8 514
 
2.4%
Other values (4) 1184
 
5.5%
Hangul
ValueCountFrequency (%)
공 2607
50.0%
시 2607
50.0%
품 1
 
< 0.1%
질 1
 
< 0.1%
인 1
 
< 0.1%
증 1
 
< 0.1%

상표명(자재명)
Text

Distinct1911
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Memory size17.8 KiB
2023-12-11T12:05:42.168006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length42
Mean length15.463781
Min length5

Characters and Unicode

Total characters35010
Distinct characters650
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1620 ?
Unique (%)71.6%

Sample

1st row미생물(총채지옥)
2nd row토탄추출물(근짱짱)
3rd row데리스추출물+식물성오일+식물추출물(충철이)
4th row황(아톰짱)
5th row님추출물(나방철이)
ValueCountFrequency (%)
입제 49
 
1.7%
유기적 35
 
1.2%
나무 31
 
1.1%
식품공장의 31
 
1.1%
플러스 21
 
0.7%
액제 19
 
0.6%
골드 15
 
0.5%
트랩 14
 
0.5%
교미교란제 14
 
0.5%
동물부산물+제당산업의 13
 
0.4%
Other values (2135) 2710
91.8%
2023-12-11T12:05:42.500322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 2425
 
6.9%
) 2425
 
6.9%
물 2320
 
6.6%
+ 1311
 
3.7%
산 812
 
2.3%
유 697
 
2.0%
추 692
 
2.0%
출 691
 
2.0%
688
 
2.0%
토 618
 
1.8%
Other values (640) 22331
63.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27320
78.0%
Open Punctuation 2426
 
6.9%
Close Punctuation 2426
 
6.9%
Math Symbol 1312
 
3.7%
Space Separator 688
 
2.0%
Decimal Number 356
 
1.0%
Uppercase Letter 240
 
0.7%
Dash Punctuation 126
 
0.4%
Lowercase Letter 114
 
0.3%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
물 2320
 
8.5%
산 812
 
3.0%
유 697
 
2.6%
추 692
 
2.5%
출 691
 
2.5%
토 618
 
2.3%
제 577
 
2.1%
식 507
 
1.9%
미 507
 
1.9%
이 505
 
1.8%
Other values (576) 19394
71.0%
Uppercase Letter
ValueCountFrequency (%)
S 24
 
10.0%
M 24
 
10.0%
K 24
 
10.0%
N 18
 
7.5%
B 17
 
7.1%
A 15
 
6.2%
P 15
 
6.2%
G 14
 
5.8%
E 11
 
4.6%
O 11
 
4.6%
Other values (14) 67
27.9%
Lowercase Letter
ValueCountFrequency (%)
a 13
11.4%
e 13
11.4%
i 13
11.4%
r 12
10.5%
c 9
7.9%
l 9
7.9%
n 6
 
5.3%
o 6
 
5.3%
g 6
 
5.3%
b 5
 
4.4%
Other values (10) 22
19.3%
Decimal Number
ValueCountFrequency (%)
1 105
29.5%
0 78
21.9%
2 52
14.6%
6 26
 
7.3%
3 23
 
6.5%
5 21
 
5.9%
4 20
 
5.6%
9 15
 
4.2%
7 11
 
3.1%
8 5
 
1.4%
Open Punctuation
ValueCountFrequency (%)
( 2425
> 99.9%
[ 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 2425
> 99.9%
] 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
+ 1311
99.9%
~ 1
 
0.1%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
: 1
50.0%
Space Separator
ValueCountFrequency (%)
688
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 126
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27320
78.0%
Common 7336
 
21.0%
Latin 354
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
물 2320
 
8.5%
산 812
 
3.0%
유 697
 
2.6%
추 692
 
2.5%
출 691
 
2.5%
토 618
 
2.3%
제 577
 
2.1%
식 507
 
1.9%
미 507
 
1.9%
이 505
 
1.8%
Other values (576) 19394
71.0%
Latin
ValueCountFrequency (%)
S 24
 
6.8%
M 24
 
6.8%
K 24
 
6.8%
N 18
 
5.1%
B 17
 
4.8%
A 15
 
4.2%
P 15
 
4.2%
G 14
 
4.0%
a 13
 
3.7%
e 13
 
3.7%
Other values (34) 177
50.0%
Common
ValueCountFrequency (%)
( 2425
33.1%
) 2425
33.1%
+ 1311
17.9%
688
 
9.4%
- 126
 
1.7%
1 105
 
1.4%
0 78
 
1.1%
2 52
 
0.7%
6 26
 
0.4%
3 23
 
0.3%
Other values (10) 77
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27320
78.0%
ASCII 7690
 
22.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 2425
31.5%
) 2425
31.5%
+ 1311
17.0%
688
 
8.9%
- 126
 
1.6%
1 105
 
1.4%
0 78
 
1.0%
2 52
 
0.7%
6 26
 
0.3%
S 24
 
0.3%
Other values (54) 430
 
5.6%
Hangul
ValueCountFrequency (%)
물 2320
 
8.5%
산 812
 
3.0%
유 697
 
2.6%
추 692
 
2.5%
출 691
 
2.5%
토 618
 
2.3%
제 577
 
2.1%
식 507
 
1.9%
미 507
 
1.9%
이 505
 
1.8%
Other values (576) 19394
71.0%

자재구분
Categorical

Distinct6
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size17.8 KiB
토양개량 및 작물생육용
1073 
충해관리용
375 
작물생육용
283 
병해관리용
274 
병해충관리용
220 

Length

Max length12
Median length6
Mean length8.4147527
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row충해관리용
2nd row토양개량 및 작물생육용
3rd row충해관리용
4th row병해관리용
5th row충해관리용

Common Values

ValueCountFrequency (%)
토양개량 및 작물생육용 1073
47.4%
충해관리용 375
 
16.6%
작물생육용 283
 
12.5%
병해관리용 274
 
12.1%
병해충관리용 220
 
9.7%
토양개량용 39
 
1.7%

Length

2023-12-11T12:05:42.643605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:05:42.810918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
작물생육용 1356
30.7%
토양개량 1073
24.3%
및 1073
24.3%
충해관리용 375
 
8.5%
병해관리용 274
 
6.2%
병해충관리용 220
 
5.0%
토양개량용 39
 
0.9%

사업자
Text

Distinct700
Distinct (%)30.9%
Missing0
Missing (%)0.0%
Memory size17.8 KiB
2023-12-11T12:05:43.125627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length18
Mean length7.1961131
Min length2

Characters and Unicode

Total characters16292
Distinct characters418
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique360 ?
Unique (%)15.9%

Sample

1st row㈜고려바이오연구소
2nd row㈜고려바이오연구소
3rd row㈜고려바이오연구소
4th row㈜고려바이오연구소
5th row㈜고려바이오연구소
ValueCountFrequency (%)
농업회사법인 297
 
11.0%
㈜대유 134
 
5.0%
글로벌아그로㈜ 42
 
1.6%
㈜팜한농 39
 
1.4%
㈜융전 36
 
1.3%
㈜누보 34
 
1.3%
고려바이오㈜ 34
 
1.3%
주식회사 29
 
1.1%
㈜남보 24
 
0.9%
㈜자연과미래 23
 
0.9%
Other values (724) 2009
74.4%
2023-12-11T12:05:43.599805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 1598
 
9.8%
이 688
 
4.2%
농 641
 
3.9%
업 478
 
2.9%
인 463
 
2.8%
447
 
2.7%
오 442
 
2.7%
바 434
 
2.7%
사 424
 
2.6%
법 411
 
2.5%
Other values (408) 10266
63.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13549
83.2%
Other Symbol 1598
 
9.8%
Space Separator 447
 
2.7%
Open Punctuation 247
 
1.5%
Close Punctuation 247
 
1.5%
Uppercase Letter 109
 
0.7%
Lowercase Letter 82
 
0.5%
Decimal Number 8
 
< 0.1%
Other Punctuation 3
 
< 0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 688
 
5.1%
농 641
 
4.7%
업 478
 
3.5%
인 463
 
3.4%
오 442
 
3.3%
바 434
 
3.2%
사 424
 
3.1%
법 411
 
3.0%
회 386
 
2.8%
아 292
 
2.2%
Other values (373) 8890
65.6%
Uppercase Letter
ValueCountFrequency (%)
M 26
23.9%
S 19
17.4%
F 13
11.9%
J 11
10.1%
P 10
 
9.2%
C 6
 
5.5%
B 4
 
3.7%
E 4
 
3.7%
A 3
 
2.8%
I 3
 
2.8%
Other values (4) 10
 
9.2%
Lowercase Letter
ValueCountFrequency (%)
o 17
20.7%
r 15
18.3%
i 10
12.2%
u 6
 
7.3%
l 6
 
7.3%
t 6
 
7.3%
a 6
 
7.3%
p 6
 
7.3%
c 4
 
4.9%
n 3
 
3.7%
Decimal Number
ValueCountFrequency (%)
3 3
37.5%
5 2
25.0%
1 2
25.0%
2 1
 
12.5%
Other Symbol
ValueCountFrequency (%)
㈜ 1598
100.0%
Space Separator
ValueCountFrequency (%)
447
100.0%
Open Punctuation
ValueCountFrequency (%)
( 247
100.0%
Close Punctuation
ValueCountFrequency (%)
) 247
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15147
93.0%
Common 954
 
5.9%
Latin 191
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 1598
 
10.5%
이 688
 
4.5%
농 641
 
4.2%
업 478
 
3.2%
인 463
 
3.1%
오 442
 
2.9%
바 434
 
2.9%
사 424
 
2.8%
법 411
 
2.7%
회 386
 
2.5%
Other values (374) 9182
60.6%
Latin
ValueCountFrequency (%)
M 26
13.6%
S 19
 
9.9%
o 17
 
8.9%
r 15
 
7.9%
F 13
 
6.8%
J 11
 
5.8%
i 10
 
5.2%
P 10
 
5.2%
u 6
 
3.1%
l 6
 
3.1%
Other values (15) 58
30.4%
Common
ValueCountFrequency (%)
447
46.9%
( 247
25.9%
) 247
25.9%
3 3
 
0.3%
. 3
 
0.3%
5 2
 
0.2%
1 2
 
0.2%
- 2
 
0.2%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13549
83.2%
None 1598
 
9.8%
ASCII 1145
 
7.0%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 1598
100.0%
Hangul
ValueCountFrequency (%)
이 688
 
5.1%
농 641
 
4.7%
업 478
 
3.5%
인 463
 
3.4%
오 442
 
3.3%
바 434
 
3.2%
사 424
 
3.1%
법 411
 
3.0%
회 386
 
2.8%
아 292
 
2.2%
Other values (373) 8890
65.6%
ASCII
ValueCountFrequency (%)
447
39.0%
( 247
21.6%
) 247
21.6%
M 26
 
2.3%
S 19
 
1.7%
o 17
 
1.5%
r 15
 
1.3%
F 13
 
1.1%
J 11
 
1.0%
i 10
 
0.9%
Other values (24) 93
 
8.1%

공시기관
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.8 KiB
강원대학교 산학협력단
1371 
순천대학교 산학협력단
893 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row강원대학교 산학협력단
2nd row강원대학교 산학협력단
3rd row강원대학교 산학협력단
4th row강원대학교 산학협력단
5th row강원대학교 산학협력단

Common Values

ValueCountFrequency (%)
강원대학교 산학협력단 1371
60.6%
순천대학교 산학협력단 893
39.4%

Length

2023-12-11T12:05:43.764953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:05:43.862592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
산학협력단 2264
50.0%
강원대학교 1371
30.3%
순천대학교 893
 
19.7%

연락처(사업장)
Text

MISSING 

Distinct675
Distinct (%)30.1%
Missing25
Missing (%)1.1%
Memory size17.8 KiB
2023-12-11T12:05:44.130843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length12
Mean length15.834748
Min length9

Characters and Unicode

Total characters35454
Distinct characters17
Distinct categories7 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique339 ?
Unique (%)15.1%

Sample

1st row033-264-5678
2nd row033-264-5678
3rd row033-264-5678
4th row033-264-5678
5th row033-264-5678
ValueCountFrequency (%)
02-556-6293(053-817-3012 134
 
5.5%
043-834-3012 134
 
5.5%
02-3488-5952(031-642-5941 42
 
1.7%
054-858-2971 42
 
1.7%
1644-0901(1644-0901 39
 
1.6%
043-732-0004 36
 
1.5%
031-354-8183 34
 
1.4%
1544-3098(055-365-3098 34
 
1.4%
055-762-6867 24
 
1.0%
061-363-8488 23
 
0.9%
Other values (670) 1894
77.8%
2023-12-11T12:05:44.909384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 5587
15.8%
0 4825
13.6%
3 3994
11.3%
1 3221
9.1%
5 3032
8.6%
4 2914
8.2%
2 2685
7.6%
6 2415
6.8%
8 2117
 
6.0%
7 1927
 
5.4%
Other values (7) 2737
7.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 28515
80.4%
Dash Punctuation 5587
 
15.8%
Open Punctuation 451
 
1.3%
Close Punctuation 451
 
1.3%
Other Punctuation 207
 
0.6%
Space Separator 198
 
0.6%
Math Symbol 45
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4825
16.9%
3 3994
14.0%
1 3221
11.3%
5 3032
10.6%
4 2914
10.2%
2 2685
9.4%
6 2415
8.5%
8 2117
7.4%
7 1927
 
6.8%
9 1385
 
4.9%
Other Punctuation
ValueCountFrequency (%)
, 204
98.6%
/ 3
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 5587
100.0%
Open Punctuation
ValueCountFrequency (%)
( 451
100.0%
Close Punctuation
ValueCountFrequency (%)
) 451
100.0%
Space Separator
ValueCountFrequency (%)
198
100.0%
Math Symbol
ValueCountFrequency (%)
~ 45
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 35454
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 5587
15.8%
0 4825
13.6%
3 3994
11.3%
1 3221
9.1%
5 3032
8.6%
4 2914
8.2%
2 2685
7.6%
6 2415
6.8%
8 2117
 
6.0%
7 1927
 
5.4%
Other values (7) 2737
7.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 35454
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 5587
15.8%
0 4825
13.6%
3 3994
11.3%
1 3221
9.1%
5 3032
8.6%
4 2914
8.2%
2 2685
7.6%
6 2415
6.8%
8 2117
 
6.0%
7 1927
 
5.4%
Other values (7) 2737
7.7%

제조장주소
Text

Distinct692
Distinct (%)30.6%
Missing3
Missing (%)0.1%
Memory size17.8 KiB
2023-12-11T12:05:45.256443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length31
Mean length22.528085
Min length17

Characters and Unicode

Total characters50936
Distinct characters342
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique348 ?
Unique (%)15.4%

Sample

1st row강원도 춘천시 퇴계농공로 79 (퇴계동)
2nd row강원도 춘천시 퇴계농공로 79 (퇴계동)
3rd row강원도 춘천시 퇴계농공로 79 (퇴계동)
4th row강원도 춘천시 퇴계농공로 79 (퇴계동)
5th row강원도 춘천시 퇴계농공로 79 (퇴계동)
ValueCountFrequency (%)
경상북도 360
 
3.1%
전라남도 338
 
3.0%
충청북도 336
 
2.9%
경기도 322
 
2.8%
경상남도 212
 
1.9%
충청남도 188
 
1.6%
전라북도 169
 
1.5%
괴산군 114
 
1.0%
경산시 112
 
1.0%
강원도 111
 
1.0%
Other values (1844) 9173
80.2%
2023-12-11T12:05:45.731782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9191
 
18.0%
도 2139
 
4.2%
1 1796
 
3.5%
시 1412
 
2.8%
로 1379
 
2.7%
2 1254
 
2.5%
면 1228
 
2.4%
산 1194
 
2.3%
길 1147
 
2.3%
경 1079
 
2.1%
Other values (332) 29117
57.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31854
62.5%
Space Separator 9191
 
18.0%
Decimal Number 8307
 
16.3%
Dash Punctuation 803
 
1.6%
Close Punctuation 389
 
0.8%
Open Punctuation 389
 
0.8%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 2139
 
6.7%
시 1412
 
4.4%
로 1379
 
4.3%
면 1228
 
3.9%
산 1194
 
3.7%
길 1147
 
3.6%
경 1079
 
3.4%
남 1055
 
3.3%
북 1046
 
3.3%
군 1011
 
3.2%
Other values (317) 19164
60.2%
Decimal Number
ValueCountFrequency (%)
1 1796
21.6%
2 1254
15.1%
3 962
11.6%
5 814
9.8%
4 674
 
8.1%
6 662
 
8.0%
9 572
 
6.9%
7 558
 
6.7%
0 536
 
6.5%
8 479
 
5.8%
Space Separator
ValueCountFrequency (%)
9191
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 803
100.0%
Close Punctuation
ValueCountFrequency (%)
) 389
100.0%
Open Punctuation
ValueCountFrequency (%)
( 389
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31854
62.5%
Common 19082
37.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 2139
 
6.7%
시 1412
 
4.4%
로 1379
 
4.3%
면 1228
 
3.9%
산 1194
 
3.7%
길 1147
 
3.6%
경 1079
 
3.4%
남 1055
 
3.3%
북 1046
 
3.3%
군 1011
 
3.2%
Other values (317) 19164
60.2%
Common
ValueCountFrequency (%)
9191
48.2%
1 1796
 
9.4%
2 1254
 
6.6%
3 962
 
5.0%
5 814
 
4.3%
- 803
 
4.2%
4 674
 
3.5%
6 662
 
3.5%
9 572
 
3.0%
7 558
 
2.9%
Other values (5) 1796
 
9.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31854
62.5%
ASCII 19082
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9191
48.2%
1 1796
 
9.4%
2 1254
 
6.6%
3 962
 
5.0%
5 814
 
4.3%
- 803
 
4.2%
4 674
 
3.5%
6 662
 
3.5%
9 572
 
3.0%
7 558
 
2.9%
Other values (5) 1796
 
9.4%
Hangul
ValueCountFrequency (%)
도 2139
 
6.7%
시 1412
 
4.4%
로 1379
 
4.3%
면 1228
 
3.9%
산 1194
 
3.7%
길 1147
 
3.6%
경 1079
 
3.4%
남 1055
 
3.3%
북 1046
 
3.3%
군 1011
 
3.2%
Other values (317) 19164
60.2%

Interactions

2023-12-11T12:05:40.567968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T12:05:45.816482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호자재구분공시기관
번호1.0000.1730.196
자재구분0.1731.0000.263
공시기관0.1960.2631.000
2023-12-11T12:05:45.893392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
자재구분공시기관
자재구분1.0000.189
공시기관0.1891.000
2023-12-11T12:05:45.965230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호자재구분공시기관
번호1.0000.0910.150
자재구분0.0911.0000.189
공시기관0.1500.1891.000

Missing values

2023-12-11T12:05:40.724801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T12:05:40.850703image/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.
2023-12-11T12:05:40.949415image/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

번호공시번호상표명(자재명)자재구분사업자공시기관연락처(사업장)제조장주소
01공시-2-5-133미생물(총채지옥)충해관리용㈜고려바이오연구소강원대학교 산학협력단033-264-5678강원도 춘천시 퇴계농공로 79 (퇴계동)
12공시-2-3-149토탄추출물(근짱짱)토양개량 및 작물생육용㈜고려바이오연구소강원대학교 산학협력단033-264-5678강원도 춘천시 퇴계농공로 79 (퇴계동)
23공시-2-5-301(공시-1-5-046)데리스추출물+식물성오일+식물추출물(충철이)충해관리용㈜고려바이오연구소강원대학교 산학협력단033-264-5678강원도 춘천시 퇴계농공로 79 (퇴계동)
34공시-2-4-135황(아톰짱)병해관리용㈜고려바이오연구소강원대학교 산학협력단033-264-5678강원도 춘천시 퇴계농공로 79 (퇴계동)
45공시-2-5-217님추출물(나방철이)충해관리용㈜고려바이오연구소강원대학교 산학협력단033-264-5678강원도 춘천시 퇴계농공로 79 (퇴계동)
56공시-2-5-246식물추출물(선철이)충해관리용㈜고려바이오연구소강원대학교 산학협력단033-264-5678강원도 춘천시 퇴계농공로 79 (퇴계동)
67공시-3-2-011해조류추출물(알가톤에코)작물생육용㈜가라시마순천대학교 산학협력단055-532-1474경상남도 창녕군 대합면 대동월포로 343
78공시-3-3-372산야초(프러드플러스)토양개량 및 작물생육용㈜가라시마순천대학교 산학협력단055-532-1474경상남도 창녕군 대합면 대동월포로 343
89공시-3-1-083제당산업의 부산물(펄비탈에코)토양개량용㈜가라시마순천대학교 산학협력단055-532-1474경상남도 창녕군 대합면 대동월포로 343
910공시-2-3-707토탄+퇴구비(하이믹스)토양개량 및 작물생육용효성오앤비㈜ 안성공장강원대학교 산학협력단041-545-8116(031-675-9410)경기도 안성시 보개면 내방상삼로 297-23
번호공시번호상표명(자재명)자재구분사업자공시기관연락처(사업장)제조장주소
22542255공시-2-4-109보르도액(투보르-탄)병해관리용㈜씨엠씨코리아강원대학교 산학협력단042-671-3378~9대전광역시 유성구 국제과학7로 6 (신동)
22552256공시-2-4-039미생물(제균탄)병해관리용㈜씨엠씨코리아강원대학교 산학협력단042-671-3378~9대전광역시 유성구 국제과학7로 6 (신동)
22562257공시-2-3-268토양미생물제제(토토빔)토양개량 및 작물생육용㈜씨엠씨코리아강원대학교 산학협력단042-671-3378~9대전광역시 유성구 국제과학7로 6 (신동)
22572258공시-2-2-193미생물(제균탄-골드)작물생육용㈜씨엠씨코리아강원대학교 산학협력단042-671-3378~9대전광역시 유성구 국제과학7로 6 (신동)
22582259공시-2-2-195미생물추출물(이노헥사 플러스)작물생육용㈜씨엠씨코리아강원대학교 산학협력단042-671-3378~9대전광역시 유성구 국제과학7로 6 (신동)
22592260공시-2-6-022식물성오일+에틸알콜+제충국추출물(무충지대-골드)병해충관리용㈜씨엠씨코리아강원대학교 산학협력단042-671-3378~9대전광역시 유성구 국제과학7로 6 (신동)
22602261공시-2-5-190데리스추출물(방충탄)충해관리용㈜씨엠씨코리아강원대학교 산학협력단042-671-3378~9대전광역시 유성구 국제과학7로 6 (신동)
22612262공시-2-6-039식물추출물+에틸알콜+제충국추출물(번개충)병해충관리용㈜씨엠씨코리아강원대학교 산학협력단042-671-3378~9대전광역시 유성구 국제과학7로 6 (신동)
22622263공시-2-2-238해조류추출물(알가35)작물생육용㈜씨엠씨코리아강원대학교 산학협력단042-671-3378~9대전광역시 유성구 국제과학7로 6 (신동)
22632264공시-2-3-445쌀겨+제당부산물(에프-포)토양개량 및 작물생육용㈜씨엠씨코리아강원대학교 산학협력단042-671-3378~9대전광역시 유성구 국제과학7로 6 (신동)