Overview

Dataset statistics

Number of variables8
Number of observations1912
Missing cells61
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory121.5 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 58 (3.0%) missing valuesMissing
번호 has unique valuesUnique
공시번호 has unique valuesUnique

Reproduction

Analysis started2023-12-11 03:05:23.540981
Analysis finished2023-12-11 03:05:26.871666
Duration3.33 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1912
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean956.5
Minimum1
Maximum1912
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.9 KiB
2023-12-11T12:05:27.011356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile96.55
Q1478.75
median956.5
Q31434.25
95-th percentile1816.45
Maximum1912
Range1911
Interquartile range (IQR)955.5

Descriptive statistics

Standard deviation552.09118
Coefficient of variation (CV)0.57719935
Kurtosis-1.2
Mean956.5
Median Absolute Deviation (MAD)478
Skewness0
Sum1828828
Variance304804.67
MonotonicityStrictly increasing
2023-12-11T12:05:27.247500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
1272 1
 
0.1%
1284 1
 
0.1%
1283 1
 
0.1%
1282 1
 
0.1%
1281 1
 
0.1%
1280 1
 
0.1%
1279 1
 
0.1%
1278 1
 
0.1%
1277 1
 
0.1%
Other values (1902) 1902
99.5%
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 (%)
1912 1
0.1%
1911 1
0.1%
1910 1
0.1%
1909 1
0.1%
1908 1
0.1%
1907 1
0.1%
1906 1
0.1%
1905 1
0.1%
1904 1
0.1%
1903 1
0.1%

공시번호
Text

UNIQUE 

Distinct1912
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
2023-12-11T12:05:27.694079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length10
Mean length10.485356
Min length10

Characters and Unicode

Total characters20048
Distinct characters23
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

Unique1912 ?
Unique (%)100.0%

Sample

1st row공시-1-3-260
2nd row공시-2-5-134
3rd row공시-3-3-136
4th row공시-3-2-016
5th row공시-3-3-020
ValueCountFrequency (%)
공시-1-3-260 1
 
0.1%
공시-2-4-036 1
 
0.1%
공시-2-4-143 1
 
0.1%
공시-1-6-036 1
 
0.1%
공시-1-5-073 1
 
0.1%
공시-1-3-378 1
 
0.1%
공시-1-3-377 1
 
0.1%
공시-1-3-376 1
 
0.1%
공시-2-6-037 1
 
0.1%
공시-3-6-019 1
 
0.1%
Other values (1910) 1910
99.5%
2023-12-11T12:05:28.218382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 5964
29.7%
3 2065
 
10.3%
2 2039
 
10.2%
공 1980
 
9.9%
시 1980
 
9.9%
1 1445
 
7.2%
0 1062
 
5.3%
5 840
 
4.2%
4 785
 
3.9%
6 646
 
3.2%
Other values (13) 1242
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9944
49.6%
Dash Punctuation 5964
29.7%
Other Letter 3984
19.9%
Open Punctuation 72
 
0.4%
Close Punctuation 72
 
0.4%
Space Separator 8
 
< 0.1%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 2065
20.8%
2 2039
20.5%
1 1445
14.5%
0 1062
10.7%
5 840
8.4%
4 785
 
7.9%
6 646
 
6.5%
7 365
 
3.7%
8 365
 
3.7%
9 332
 
3.3%
Other Letter
ValueCountFrequency (%)
공 1980
49.7%
시 1980
49.7%
유 4
 
0.1%
기 4
 
0.1%
품 4
 
0.1%
질 4
 
0.1%
인 4
 
0.1%
증 4
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 5964
100.0%
Open Punctuation
ValueCountFrequency (%)
( 72
100.0%
Close Punctuation
ValueCountFrequency (%)
) 72
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 16064
80.1%
Hangul 3984
 
19.9%

Most frequent character per script

Common
ValueCountFrequency (%)
- 5964
37.1%
3 2065
 
12.9%
2 2039
 
12.7%
1 1445
 
9.0%
0 1062
 
6.6%
5 840
 
5.2%
4 785
 
4.9%
6 646
 
4.0%
7 365
 
2.3%
8 365
 
2.3%
Other values (5) 488
 
3.0%
Hangul
ValueCountFrequency (%)
공 1980
49.7%
시 1980
49.7%
유 4
 
0.1%
기 4
 
0.1%
품 4
 
0.1%
질 4
 
0.1%
인 4
 
0.1%
증 4
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16064
80.1%
Hangul 3984
 
19.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 5964
37.1%
3 2065
 
12.9%
2 2039
 
12.7%
1 1445
 
9.0%
0 1062
 
6.6%
5 840
 
5.2%
4 785
 
4.9%
6 646
 
4.0%
7 365
 
2.3%
8 365
 
2.3%
Other values (5) 488
 
3.0%
Hangul
ValueCountFrequency (%)
공 1980
49.7%
시 1980
49.7%
유 4
 
0.1%
기 4
 
0.1%
품 4
 
0.1%
질 4
 
0.1%
인 4
 
0.1%
증 4
 
0.1%

상표명(자재명)
Text

Distinct1887
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
2023-12-11T12:05:28.438182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length45
Mean length15.089958
Min length5

Characters and Unicode

Total characters28852
Distinct characters645
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1870 ?
Unique (%)97.8%

Sample

1st row유황가리고토(황산칼륨고토)
2nd row그린졸 입제(님추출물)
3rd row흙살림골드(미생물+점토광물+쌀겨)
4th row아카디안29(해조 추출물)
5th row펄휴머스(토탄)
ValueCountFrequency (%)
부산물 62
 
2.5%
유기적 34
 
1.4%
교미교란제(페로몬 13
 
0.5%
트랩(페로몬 11
 
0.4%
숯 10
 
0.4%
용액 10
 
0.4%
마그네슘 9
 
0.4%
성페로몬 8
 
0.3%
바이코나 6
 
0.2%
세리팜 5
 
0.2%
Other values (2158) 2332
93.3%
2023-12-11T12:05:28.790402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 2041
 
7.1%
( 2041
 
7.1%
물 1797
 
6.2%
+ 998
 
3.5%
산 646
 
2.2%
588
 
2.0%
유 581
 
2.0%
토 561
 
1.9%
추 534
 
1.9%
출 532
 
1.8%
Other values (635) 18533
64.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22481
77.9%
Close Punctuation 2042
 
7.1%
Open Punctuation 2042
 
7.1%
Math Symbol 999
 
3.5%
Space Separator 588
 
2.0%
Decimal Number 292
 
1.0%
Uppercase Letter 207
 
0.7%
Dash Punctuation 107
 
0.4%
Lowercase Letter 91
 
0.3%
Letter Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
물 1797
 
8.0%
산 646
 
2.9%
유 581
 
2.6%
토 561
 
2.5%
추 534
 
2.4%
출 532
 
2.4%
제 466
 
2.1%
식 405
 
1.8%
미 399
 
1.8%
이 386
 
1.7%
Other values (569) 16174
71.9%
Uppercase Letter
ValueCountFrequency (%)
S 22
 
10.6%
M 21
 
10.1%
K 17
 
8.2%
P 14
 
6.8%
N 14
 
6.8%
A 13
 
6.3%
B 12
 
5.8%
G 12
 
5.8%
O 11
 
5.3%
E 9
 
4.3%
Other values (15) 62
30.0%
Lowercase Letter
ValueCountFrequency (%)
r 14
15.4%
i 13
14.3%
a 8
8.8%
c 7
 
7.7%
u 6
 
6.6%
o 6
 
6.6%
l 5
 
5.5%
e 5
 
5.5%
d 5
 
5.5%
t 4
 
4.4%
Other values (10) 18
19.8%
Decimal Number
ValueCountFrequency (%)
1 99
33.9%
0 55
18.8%
2 45
15.4%
3 21
 
7.2%
6 21
 
7.2%
5 17
 
5.8%
4 13
 
4.5%
8 8
 
2.7%
9 8
 
2.7%
7 5
 
1.7%
Close Punctuation
ValueCountFrequency (%)
) 2041
> 99.9%
] 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 2041
> 99.9%
[ 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
+ 998
99.9%
~ 1
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅳ 1
50.0%
Space Separator
ValueCountFrequency (%)
588
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 107
100.0%
Other Punctuation
ValueCountFrequency (%)
: 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22480
77.9%
Common 6071
 
21.0%
Latin 300
 
1.0%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
물 1797
 
8.0%
산 646
 
2.9%
유 581
 
2.6%
토 561
 
2.5%
추 534
 
2.4%
출 532
 
2.4%
제 466
 
2.1%
식 405
 
1.8%
미 399
 
1.8%
이 386
 
1.7%
Other values (568) 16173
71.9%
Latin
ValueCountFrequency (%)
S 22
 
7.3%
M 21
 
7.0%
K 17
 
5.7%
P 14
 
4.7%
r 14
 
4.7%
N 14
 
4.7%
i 13
 
4.3%
A 13
 
4.3%
B 12
 
4.0%
G 12
 
4.0%
Other values (37) 148
49.3%
Common
ValueCountFrequency (%)
) 2041
33.6%
( 2041
33.6%
+ 998
16.4%
588
 
9.7%
- 107
 
1.8%
1 99
 
1.6%
0 55
 
0.9%
2 45
 
0.7%
3 21
 
0.3%
6 21
 
0.3%
Other values (9) 55
 
0.9%
Han
ValueCountFrequency (%)
秀 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22480
77.9%
ASCII 6369
 
22.1%
Number Forms 2
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 2041
32.0%
( 2041
32.0%
+ 998
15.7%
588
 
9.2%
- 107
 
1.7%
1 99
 
1.6%
0 55
 
0.9%
2 45
 
0.7%
S 22
 
0.3%
3 21
 
0.3%
Other values (54) 352
 
5.5%
Hangul
ValueCountFrequency (%)
물 1797
 
8.0%
산 646
 
2.9%
유 581
 
2.6%
토 561
 
2.5%
추 534
 
2.4%
출 532
 
2.4%
제 466
 
2.1%
식 405
 
1.8%
미 399
 
1.8%
이 386
 
1.7%
Other values (568) 16173
71.9%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅳ 1
50.0%
CJK
ValueCountFrequency (%)
秀 1
100.0%

자재구분
Categorical

Distinct6
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
토양개량 및 작물생육용
961 
충해관리용
308 
작물생육용
253 
병해관리용
212 
병해충관리용
141 

Length

Max length12
Median length12
Mean length8.5920502
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
토양개량 및 작물생육용 961
50.3%
충해관리용 308
 
16.1%
작물생육용 253
 
13.2%
병해관리용 212
 
11.1%
병해충관리용 141
 
7.4%
토양개량용 37
 
1.9%

Length

2023-12-11T12:05:28.951679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:05:29.086184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
작물생육용 1214
31.7%
토양개량 961
25.1%
및 961
25.1%
충해관리용 308
 
8.0%
병해관리용 212
 
5.5%
병해충관리용 141
 
3.7%
토양개량용 37
 
1.0%

사업자
Text

Distinct717
Distinct (%)37.5%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
2023-12-11T12:05:29.356512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19
Mean length7.0502092
Min length2

Characters and Unicode

Total characters13480
Distinct characters416
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

Unique399 ?
Unique (%)20.9%

Sample

1st row남해화학㈜ 여수공장
2nd row㈜유피엘리미티드코리아
3rd row농업회사법인 흙살림(주)
4th row한국휴바스
5th row㈜휴바스코리아
ValueCountFrequency (%)
농업회사법인 206
 
9.3%
㈜대유 66
 
3.0%
고려바이오㈜ 35
 
1.6%
주식회사 27
 
1.2%
농업회사법인㈜자연과미래 22
 
1.0%
㈜대덕바이오 20
 
0.9%
흙살림(주 20
 
0.9%
㈜누보 20
 
0.9%
케이지케미칼㈜ 19
 
0.9%
㈜남보 19
 
0.9%
Other values (740) 1770
79.6%
2023-12-11T12:05:29.771779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 1296
 
9.6%
이 589
 
4.4%
농 524
 
3.9%
업 399
 
3.0%
오 389
 
2.9%
바 381
 
2.8%
인 366
 
2.7%
사 341
 
2.5%
법 329
 
2.4%
312
 
2.3%
Other values (406) 8554
63.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11344
84.2%
Other Symbol 1296
 
9.6%
Space Separator 312
 
2.3%
Close Punctuation 209
 
1.6%
Open Punctuation 209
 
1.6%
Uppercase Letter 93
 
0.7%
Lowercase Letter 10
 
0.1%
Decimal Number 5
 
< 0.1%
Other Punctuation 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 589
 
5.2%
농 524
 
4.6%
업 399
 
3.5%
오 389
 
3.4%
바 381
 
3.4%
인 366
 
3.2%
사 341
 
3.0%
법 329
 
2.9%
회 297
 
2.6%
아 240
 
2.1%
Other values (379) 7489
66.0%
Uppercase Letter
ValueCountFrequency (%)
M 27
29.0%
S 14
15.1%
F 13
14.0%
P 11
11.8%
J 9
 
9.7%
V 4
 
4.3%
K 4
 
4.3%
G 3
 
3.2%
B 3
 
3.2%
I 3
 
3.2%
Lowercase Letter
ValueCountFrequency (%)
o 5
50.0%
a 1
 
10.0%
e 1
 
10.0%
r 1
 
10.0%
m 1
 
10.0%
d 1
 
10.0%
Decimal Number
ValueCountFrequency (%)
3 2
40.0%
5 1
20.0%
1 1
20.0%
2 1
20.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1296
100.0%
Space Separator
ValueCountFrequency (%)
312
100.0%
Close Punctuation
ValueCountFrequency (%)
) 209
100.0%
Open Punctuation
ValueCountFrequency (%)
( 209
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12640
93.8%
Common 737
 
5.5%
Latin 103
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 1296
 
10.3%
이 589
 
4.7%
농 524
 
4.1%
업 399
 
3.2%
오 389
 
3.1%
바 381
 
3.0%
인 366
 
2.9%
사 341
 
2.7%
법 329
 
2.6%
회 297
 
2.3%
Other values (380) 7729
61.1%
Latin
ValueCountFrequency (%)
M 27
26.2%
S 14
13.6%
F 13
12.6%
P 11
10.7%
J 9
 
8.7%
o 5
 
4.9%
V 4
 
3.9%
K 4
 
3.9%
G 3
 
2.9%
B 3
 
2.9%
Other values (7) 10
 
9.7%
Common
ValueCountFrequency (%)
312
42.3%
) 209
28.4%
( 209
28.4%
3 2
 
0.3%
. 1
 
0.1%
5 1
 
0.1%
1 1
 
0.1%
2 1
 
0.1%
- 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11344
84.2%
None 1296
 
9.6%
ASCII 840
 
6.2%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 1296
100.0%
Hangul
ValueCountFrequency (%)
이 589
 
5.2%
농 524
 
4.6%
업 399
 
3.5%
오 389
 
3.4%
바 381
 
3.4%
인 366
 
3.2%
사 341
 
3.0%
법 329
 
2.9%
회 297
 
2.6%
아 240
 
2.1%
Other values (379) 7489
66.0%
ASCII
ValueCountFrequency (%)
312
37.1%
) 209
24.9%
( 209
24.9%
M 27
 
3.2%
S 14
 
1.7%
F 13
 
1.5%
P 11
 
1.3%
J 9
 
1.1%
o 5
 
0.6%
V 4
 
0.5%
Other values (16) 27
 
3.2%

공시기관
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
강원대학교 산학협력단
1156 
순천대학교 산학협력단
756 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강원대학교 산학협력단 1156
60.5%
순천대학교 산학협력단 756
39.5%

Length

2023-12-11T12:05:29.925978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:05:30.061426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
산학협력단 1912
50.0%
강원대학교 1156
30.2%
순천대학교 756
 
19.8%

연락처(사업장)
Text

MISSING 

Distinct672
Distinct (%)36.2%
Missing58
Missing (%)3.0%
Memory size15.1 KiB
2023-12-11T12:05:30.349217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length12
Mean length13.292341
Min length9

Characters and Unicode

Total characters24644
Distinct characters21
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

Unique368 ?
Unique (%)19.8%

Sample

1st row02-2262-0576
2nd row043-852-8095
3rd row043-215-8179
4th row061-393-4066
5th row061-393-4066
ValueCountFrequency (%)
02-556-6293 66
 
3.3%
053-817-3012 66
 
3.3%
031-354-8183 35
 
1.8%
061-363-8488 22
 
1.1%
043-215-8179 20
 
1.0%
1544-3098(052-238-3307 20
 
1.0%
041-751-4780 20
 
1.0%
055-762-6867 19
 
1.0%
053-582-0321 18
 
0.9%
02-3488-5875 18
 
0.9%
Other values (674) 1668
84.6%
2023-12-11T12:05:30.793480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 3844
15.6%
0 3320
13.5%
3 2762
11.2%
1 2219
9.0%
5 2200
8.9%
2 1921
7.8%
4 1885
7.6%
6 1751
7.1%
7 1619
6.6%
8 1530
 
6.2%
Other values (11) 1593
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 20136
81.7%
Dash Punctuation 3844
 
15.6%
Close Punctuation 299
 
1.2%
Open Punctuation 162
 
0.7%
Space Separator 118
 
0.5%
Math Symbol 63
 
0.3%
Other Punctuation 19
 
0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3320
16.5%
3 2762
13.7%
1 2219
11.0%
5 2200
10.9%
2 1921
9.5%
4 1885
9.4%
6 1751
8.7%
7 1619
8.0%
8 1530
7.6%
9 929
 
4.6%
Other Punctuation
ValueCountFrequency (%)
, 15
78.9%
/ 3
 
15.8%
. 1
 
5.3%
Lowercase Letter
ValueCountFrequency (%)
f 1
33.3%
a 1
33.3%
x 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 3844
100.0%
Close Punctuation
ValueCountFrequency (%)
) 299
100.0%
Open Punctuation
ValueCountFrequency (%)
( 162
100.0%
Space Separator
ValueCountFrequency (%)
118
100.0%
Math Symbol
ValueCountFrequency (%)
~ 63
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24641
> 99.9%
Latin 3
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
- 3844
15.6%
0 3320
13.5%
3 2762
11.2%
1 2219
9.0%
5 2200
8.9%
2 1921
7.8%
4 1885
7.6%
6 1751
7.1%
7 1619
6.6%
8 1530
 
6.2%
Other values (8) 1590
6.5%
Latin
ValueCountFrequency (%)
f 1
33.3%
a 1
33.3%
x 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24644
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 3844
15.6%
0 3320
13.5%
3 2762
11.2%
1 2219
9.0%
5 2200
8.9%
2 1921
7.8%
4 1885
7.6%
6 1751
7.1%
7 1619
6.6%
8 1530
 
6.2%
Other values (11) 1593
6.5%

제조장주소
Text

Distinct705
Distinct (%)36.9%
Missing3
Missing (%)0.2%
Memory size15.1 KiB
2023-12-11T12:05:31.182852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length45
Mean length22.124149
Min length10

Characters and Unicode

Total characters42235
Distinct characters375
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique402 ?
Unique (%)21.1%

Sample

1st row전남 여수시 여수산단로 1384
2nd row충청북도 충주시 풍동동막길 110 <가주동>
3rd row충북 괴산군 불정면 한불로 1136
4th row전남 장성군 황룡면 강변로 451-19
5th row전남 장성군 황룡면 강변로 451-19
ValueCountFrequency (%)
경기도 300
 
3.1%
경상북도 237
 
2.4%
충청북도 185
 
1.9%
전라남도 163
 
1.7%
전남 130
 
1.3%
충청남도 122
 
1.2%
강원도 104
 
1.1%
경남 103
 
1.1%
경산시 98
 
1.0%
경상남도 98
 
1.0%
Other values (1886) 8265
84.3%
2023-12-11T12:05:31.899377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7896
 
18.7%
1 1521
 
3.6%
도 1345
 
3.2%
시 1228
 
2.9%
로 1226
 
2.9%
면 1208
 
2.9%
2 1062
 
2.5%
경 978
 
2.3%
남 938
 
2.2%
길 916
 
2.2%
Other values (365) 23917
56.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26025
61.6%
Space Separator 7896
 
18.7%
Decimal Number 7381
 
17.5%
Dash Punctuation 675
 
1.6%
Other Punctuation 119
 
0.3%
Close Punctuation 53
 
0.1%
Open Punctuation 53
 
0.1%
Uppercase Letter 21
 
< 0.1%
Math Symbol 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 1345
 
5.2%
시 1228
 
4.7%
로 1226
 
4.7%
면 1208
 
4.6%
경 978
 
3.8%
남 938
 
3.6%
길 916
 
3.5%
산 864
 
3.3%
군 822
 
3.2%
북 821
 
3.2%
Other values (339) 15679
60.2%
Decimal Number
ValueCountFrequency (%)
1 1521
20.6%
2 1062
14.4%
3 916
12.4%
5 718
9.7%
4 654
8.9%
6 600
 
8.1%
0 538
 
7.3%
9 495
 
6.7%
7 474
 
6.4%
8 403
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
B 8
38.1%
L 5
23.8%
C 2
 
9.5%
A 1
 
4.8%
I 1
 
4.8%
T 1
 
4.8%
F 1
 
4.8%
R 1
 
4.8%
D 1
 
4.8%
Math Symbol
ValueCountFrequency (%)
> 6
50.0%
< 6
50.0%
Space Separator
ValueCountFrequency (%)
7896
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 675
100.0%
Other Punctuation
ValueCountFrequency (%)
, 119
100.0%
Close Punctuation
ValueCountFrequency (%)
) 53
100.0%
Open Punctuation
ValueCountFrequency (%)
( 53
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26025
61.6%
Common 16189
38.3%
Latin 21
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 1345
 
5.2%
시 1228
 
4.7%
로 1226
 
4.7%
면 1208
 
4.6%
경 978
 
3.8%
남 938
 
3.6%
길 916
 
3.5%
산 864
 
3.3%
군 822
 
3.2%
북 821
 
3.2%
Other values (339) 15679
60.2%
Common
ValueCountFrequency (%)
7896
48.8%
1 1521
 
9.4%
2 1062
 
6.6%
3 916
 
5.7%
5 718
 
4.4%
- 675
 
4.2%
4 654
 
4.0%
6 600
 
3.7%
0 538
 
3.3%
9 495
 
3.1%
Other values (7) 1114
 
6.9%
Latin
ValueCountFrequency (%)
B 8
38.1%
L 5
23.8%
C 2
 
9.5%
A 1
 
4.8%
I 1
 
4.8%
T 1
 
4.8%
F 1
 
4.8%
R 1
 
4.8%
D 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26025
61.6%
ASCII 16210
38.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7896
48.7%
1 1521
 
9.4%
2 1062
 
6.6%
3 916
 
5.7%
5 718
 
4.4%
- 675
 
4.2%
4 654
 
4.0%
6 600
 
3.7%
0 538
 
3.3%
9 495
 
3.1%
Other values (16) 1135
 
7.0%
Hangul
ValueCountFrequency (%)
도 1345
 
5.2%
시 1228
 
4.7%
로 1226
 
4.7%
면 1208
 
4.6%
경 978
 
3.8%
남 938
 
3.6%
길 916
 
3.5%
산 864
 
3.3%
군 822
 
3.2%
북 821
 
3.2%
Other values (339) 15679
60.2%

Interactions

2023-12-11T12:05:26.209520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T12:05:32.017007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호자재구분공시기관
번호1.0000.2290.150
자재구분0.2291.0000.258
공시기관0.1500.2581.000
2023-12-11T12:05:32.115582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
자재구분공시기관
자재구분1.0000.185
공시기관0.1851.000
2023-12-11T12:05:32.199425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호자재구분공시기관
번호1.0000.1220.115
자재구분0.1221.0000.185
공시기관0.1150.1851.000

Missing values

2023-12-11T12:05:26.477540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T12:05:26.661942image/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.
2023-12-11T12:05:26.795441image/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-1-3-260유황가리고토(황산칼륨고토)토양개량 및 작물생육용남해화학㈜ 여수공장순천대학교 산학협력단02-2262-0576전남 여수시 여수산단로 1384
12공시-2-5-134그린졸 입제(님추출물)충해관리용㈜유피엘리미티드코리아강원대학교 산학협력단043-852-8095충청북도 충주시 풍동동막길 110 <가주동>
23공시-3-3-136흙살림골드(미생물+점토광물+쌀겨)토양개량 및 작물생육용농업회사법인 흙살림(주)순천대학교 산학협력단043-215-8179충북 괴산군 불정면 한불로 1136
34공시-3-2-016아카디안29(해조 추출물)작물생육용한국휴바스순천대학교 산학협력단061-393-4066전남 장성군 황룡면 강변로 451-19
45공시-3-3-020펄휴머스(토탄)토양개량 및 작물생육용㈜휴바스코리아순천대학교 산학협력단061-393-4066전남 장성군 황룡면 강변로 451-19
56공시-3-4-006재노탄(미생물)병해관리용㈜한국바이오케미칼순천대학교 산학협력단055-763-0241경남 진주시 문산읍 월아산로 950번길 14-20
67공시-1-4-013탑시드(미생물)병해관리용㈜그린바이오텍순천대학교 산학협력단031-946-5614경기도 파주시 교하읍 솔아래길 121-49
78공시-1-4-014씰러스(미생물)병해관리용㈜그린바이오텍순천대학교 산학협력단031-946-5614경기도 파주시 교하읍 솔아래길 121-49
89공시-1-4-012캡틴황(석회유황합제)병해관리용인바이오㈜강원대학교 산학협력단031-477-6011충청북도 제천시 송학면 송학주천로 149
910공시-1-5-012솔빛채(미생물)충해관리용㈜그린바이오텍순천대학교 산학협력단031-946-5614경기도 파주시 교하읍 솔아래길 121-49
번호공시번호상표명(자재명)자재구분사업자공시기관연락처(사업장)제조장주소
19021903공시-3-3-368땅심왕골드(혼합유기질)토양개량 및 작물생육용(주)에코그린팜순천대학교 산학협력단061-755-2204전남 순천시 주암면 주석로 150-94
19031904공시-3-3-369카르베(동물부산물+쌀겨)토양개량 및 작물생육용㈜휴그린순천대학교 산학협력단061-285-5350전남 무안군 삼향읍 삼향공단길 30
19041905공시-3-3-372프러드플러스(산야초)토양개량 및 작물생육용㈜가라시마순천대학교 산학협력단055-532-1474경남 창녕군 대합면 대동월포로 343
19051906공시-3-6-042모두탁(천연산+천일염)병해충관리용(주)에이티랩순천대학교 산학협력단055-356-1331경남 밀양시 산내면 산내로 114-60
19061907공시-3-2-112프로올게닉액제(작물생육용)작물생육용신농비료산업순천대학교 산학협력단063-262-6005전북 익산시 왕궁면 흥암길 206
19071908공시-3-3-383파워MVP(엠브이피)(토양미생물제제)토양개량 및 작물생육용MVP애그텍순천대학교 산학협력단043-733-8996~7충북 옥천군 군서면 동평 3길 45-26
19081909공시-3-3-384씨앤씨-팡팡닥터(미생물배양액)토양개량 및 작물생육용(주)경인씨엔씨순천대학교 산학협력단<NA>전북 군산시 서수면 상장곤윗길 54
19091910공시-3-3-385골든스테비아(산야초+해조류추출물)토양개량 및 작물생육용골든브릭스 영농조합법인순천대학교 산학협력단<NA>전남 해남군 황산면 부곡리 766-6
19101911공시-3-3-386킹유박(혼합유박)토양개량 및 작물생육용태인순천대학교 산학협력단054-761-3355경북 경주시 안강읍 두류길 297
19111912공시-3-2-113지평(식품공장의 유기적 부산물+황)작물생육용농업회사법인 (주)농부애순천대학교 산학협력단<NA>경기도 이천시 신둔면 황무로 338번길 381-62