Overview

Dataset statistics

Number of variables11
Number of observations9263
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory805.2 KiB
Average record size in memory89.0 B

Variable types

Numeric1
DateTime4
Text4
Categorical2

Dataset

Description1998년부터 조사기준일까지 국립종자원에 품종보호권이 등록된 품종에 대한 목록(등록번호, 등록일자, 소멸(예정)일자, 존속만료일, 출원번호, 출원일, 작물구분, 작물명, 품종명, 출원인, 국가)
URLhttps://www.data.go.kr/data/15050730/fileData.do

Alerts

등록번호 has unique valuesUnique
품종보호 출원번호 has unique valuesUnique

Reproduction

Analysis started2023-12-13 00:58:13.698981
Analysis finished2023-12-13 00:58:15.205003
Duration1.51 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

등록번호
Real number (ℝ)

UNIQUE 

Distinct9263
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4634.0195
Minimum1
Maximum9488
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size81.5 KiB
2023-12-13T09:58:15.260064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile464.1
Q12316.5
median4634
Q36949.5
95-th percentile8805.9
Maximum9488
Range9487
Interquartile range (IQR)4633

Descriptive statistics

Standard deviation2675.9183
Coefficient of variation (CV)0.57745079
Kurtosis-1.1985803
Mean4634.0195
Median Absolute Deviation (MAD)2317
Skewness0.00086484733
Sum42924923
Variance7160538.6
MonotonicityStrictly decreasing
2023-12-13T09:58:15.361742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9488 1
 
< 0.1%
3041 1
 
< 0.1%
3093 1
 
< 0.1%
3092 1
 
< 0.1%
3091 1
 
< 0.1%
3090 1
 
< 0.1%
3089 1
 
< 0.1%
3088 1
 
< 0.1%
3087 1
 
< 0.1%
3086 1
 
< 0.1%
Other values (9253) 9253
99.9%
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 (%)
9488 1
< 0.1%
9279 1
< 0.1%
9278 1
< 0.1%
9277 1
< 0.1%
9276 1
< 0.1%
9275 1
< 0.1%
9274 1
< 0.1%
9273 1
< 0.1%
9272 1
< 0.1%
9271 1
< 0.1%

등록일자
Date

Distinct2031
Distinct (%)21.9%
Missing0
Missing (%)0.0%
Memory size72.5 KiB
Minimum2000-03-28 00:00:00
Maximum2022-12-30 00:00:00
2023-12-13T09:58:15.459879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:58:15.560389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소멸(예정)일자
Date

Distinct2388
Distinct (%)25.8%
Missing0
Missing (%)0.0%
Memory size72.5 KiB
Minimum2000-12-18 00:00:00
Maximum2047-12-28 00:00:00
2023-12-13T09:58:15.681464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:58:15.788373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

존속 만료기간
Date

Distinct2382
Distinct (%)25.7%
Missing0
Missing (%)0.0%
Memory size72.5 KiB
Minimum2000-12-18 00:00:00
Maximum2047-12-28 00:00:00
2023-12-13T09:58:15.915059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:58:16.024563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

품종보호 출원번호
Text

UNIQUE 

Distinct9263
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size72.5 KiB
2023-12-13T09:58:16.199533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length14
Min length14

Characters and Unicode

Total characters129682
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9263 ?
Unique (%)100.0%

Sample

1st row10-2019-000615
2nd row10-2021-000105
3rd row10-2019-000233
4th row10-2020-000664
5th row10-2020-000495
ValueCountFrequency (%)
10-2019-000615 1
 
< 0.1%
10-2009-000094 1
 
< 0.1%
10-2006-000115 1
 
< 0.1%
10-2008-000098 1
 
< 0.1%
10-2008-000361 1
 
< 0.1%
10-2008-000360 1
 
< 0.1%
10-2008-000300 1
 
< 0.1%
10-2008-000204 1
 
< 0.1%
10-2007-000484 1
 
< 0.1%
10-2008-000114 1
 
< 0.1%
Other values (9253) 9253
99.9%
2023-12-13T09:58:16.467788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 54213
41.8%
1 19204
 
14.8%
- 18526
 
14.3%
2 13832
 
10.7%
3 4188
 
3.2%
5 3866
 
3.0%
4 3811
 
2.9%
9 3281
 
2.5%
6 3018
 
2.3%
8 2916
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 111156
85.7%
Dash Punctuation 18526
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 54213
48.8%
1 19204
 
17.3%
2 13832
 
12.4%
3 4188
 
3.8%
5 3866
 
3.5%
4 3811
 
3.4%
9 3281
 
3.0%
6 3018
 
2.7%
8 2916
 
2.6%
7 2827
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 18526
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 129682
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 54213
41.8%
1 19204
 
14.8%
- 18526
 
14.3%
2 13832
 
10.7%
3 4188
 
3.2%
5 3866
 
3.0%
4 3811
 
2.9%
9 3281
 
2.5%
6 3018
 
2.3%
8 2916
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 129682
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 54213
41.8%
1 19204
 
14.8%
- 18526
 
14.3%
2 13832
 
10.7%
3 4188
 
3.2%
5 3866
 
3.0%
4 3811
 
2.9%
9 3281
 
2.5%
6 3018
 
2.3%
8 2916
 
2.2%

출원일
Date

Distinct2466
Distinct (%)26.6%
Missing0
Missing (%)0.0%
Memory size72.5 KiB
Minimum1998-03-06 00:00:00
Maximum2022-04-15 00:00:00
2023-12-13T09:58:16.572446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:58:16.672879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

작물구분
Categorical

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size72.5 KiB
화훼류
4746 
채소류
2103 
식량작물
1277 
과수류
548 
특용작물
 
337
Other values (2)
 
252

Length

Max length4
Median length3
Mean length3.1811508
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row채소류
2nd row채소류
3rd row과수류
4th row채소류
5th row채소류

Common Values

ValueCountFrequency (%)
화훼류 4746
51.2%
채소류 2103
22.7%
식량작물 1277
 
13.8%
과수류 548
 
5.9%
특용작물 337
 
3.6%
버섯류 188
 
2.0%
사료작물 64
 
0.7%

Length

2023-12-13T09:58:16.777201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:58:16.867998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
화훼류 4746
51.2%
채소류 2103
22.7%
식량작물 1277
 
13.8%
과수류 548
 
5.9%
특용작물 337
 
3.6%
버섯류 188
 
2.0%
사료작물 64
 
0.7%

작물명칭
Text

Distinct393
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size72.5 KiB
2023-12-13T09:58:17.046164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length2.8991687
Min length1

Characters and Unicode

Total characters26855
Distinct characters355
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique123 ?
Unique (%)1.3%

Sample

1st row딸기
2nd row상추
3rd row복숭아
4th row멜론
5th row대목용박
ValueCountFrequency (%)
장미 1076
 
11.5%
국화 913
 
9.8%
벼 524
 
5.6%
고추 430
 
4.6%
배추 270
 
2.9%
무 221
 
2.4%
백합 219
 
2.3%
거베라 218
 
2.3%
콩 204
 
2.2%
복숭아 163
 
1.7%
Other values (393) 5097
54.6%
2023-12-13T09:58:17.337036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 1278
 
4.8%
화 1204
 
4.5%
국 1178
 
4.4%
미 1096
 
4.1%
추 971
 
3.6%
리 701
 
2.6%
스 608
 
2.3%
아 599
 
2.2%
수 555
 
2.1%
벼 524
 
2.0%
Other values (345) 18141
67.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26156
97.4%
Open Punctuation 265
 
1.0%
Close Punctuation 265
 
1.0%
Space Separator 72
 
0.3%
Other Punctuation 50
 
0.2%
Uppercase Letter 33
 
0.1%
Lowercase Letter 11
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 1278
 
4.9%
화 1204
 
4.6%
국 1178
 
4.5%
미 1096
 
4.2%
추 971
 
3.7%
리 701
 
2.7%
스 608
 
2.3%
아 599
 
2.3%
수 555
 
2.1%
벼 524
 
2.0%
Other values (338) 17442
66.7%
Open Punctuation
ValueCountFrequency (%)
( 265
100.0%
Close Punctuation
ValueCountFrequency (%)
) 265
100.0%
Space Separator
ValueCountFrequency (%)
72
100.0%
Other Punctuation
ValueCountFrequency (%)
, 50
100.0%
Uppercase Letter
ValueCountFrequency (%)
X 33
100.0%
Lowercase Letter
ValueCountFrequency (%)
x 11
100.0%
Math Symbol
ValueCountFrequency (%)
× 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26156
97.4%
Common 655
 
2.4%
Latin 44
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 1278
 
4.9%
화 1204
 
4.6%
국 1178
 
4.5%
미 1096
 
4.2%
추 971
 
3.7%
리 701
 
2.7%
스 608
 
2.3%
아 599
 
2.3%
수 555
 
2.1%
벼 524
 
2.0%
Other values (338) 17442
66.7%
Common
ValueCountFrequency (%)
( 265
40.5%
) 265
40.5%
72
 
11.0%
, 50
 
7.6%
× 3
 
0.5%
Latin
ValueCountFrequency (%)
X 33
75.0%
x 11
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26156
97.4%
ASCII 696
 
2.6%
None 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 1278
 
4.9%
화 1204
 
4.6%
국 1178
 
4.5%
미 1096
 
4.2%
추 971
 
3.7%
리 701
 
2.7%
스 608
 
2.3%
아 599
 
2.3%
수 555
 
2.1%
벼 524
 
2.0%
Other values (338) 17442
66.7%
ASCII
ValueCountFrequency (%)
( 265
38.1%
) 265
38.1%
72
 
10.3%
, 50
 
7.2%
X 33
 
4.7%
x 11
 
1.6%
None
ValueCountFrequency (%)
× 3
100.0%

품종명칭
Text

Distinct8508
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Memory size72.5 KiB
2023-12-13T09:58:17.608418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length4.1076325
Min length1

Characters and Unicode

Total characters38049
Distinct characters837
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7980 ?
Unique (%)86.1%

Sample

1st row진스타
2nd row보나르다
3rd row우림상도
4th row엠이에스유5397
5th row엘에이55
ValueCountFrequency (%)
1호 10
 
0.1%
케이에스 10
 
0.1%
핑크 9
 
0.1%
레드썬 7
 
0.1%
2호 7
 
0.1%
금향 6
 
0.1%
온누리 6
 
0.1%
미소 6
 
0.1%
블랙스타 6
 
0.1%
소담 6
 
0.1%
Other values (8526) 9314
99.2%
2023-12-13T09:58:17.983904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 1533
 
4.0%
스 1497
 
3.9%
1 801
 
2.1%
리 754
 
2.0%
0 724
 
1.9%
드 638
 
1.7%
호 609
 
1.6%
에 567
 
1.5%
레 545
 
1.4%
트 515
 
1.4%
Other values (827) 29866
78.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 34047
89.5%
Decimal Number 3555
 
9.3%
Dash Punctuation 173
 
0.5%
Uppercase Letter 133
 
0.3%
Space Separator 129
 
0.3%
Lowercase Letter 4
 
< 0.1%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Other Punctuation 1
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 1533
 
4.5%
스 1497
 
4.4%
리 754
 
2.2%
드 638
 
1.9%
호 609
 
1.8%
에 567
 
1.7%
레 545
 
1.6%
트 515
 
1.5%
아 509
 
1.5%
크 496
 
1.5%
Other values (790) 26384
77.5%
Uppercase Letter
ValueCountFrequency (%)
R 36
27.1%
C 19
14.3%
B 13
 
9.8%
K 11
 
8.3%
S 11
 
8.3%
A 8
 
6.0%
W 7
 
5.3%
L 5
 
3.8%
I 5
 
3.8%
P 5
 
3.8%
Other values (7) 13
 
9.8%
Decimal Number
ValueCountFrequency (%)
1 801
22.5%
0 724
20.4%
2 502
14.1%
3 351
9.9%
5 261
 
7.3%
4 207
 
5.8%
9 198
 
5.6%
6 189
 
5.3%
7 173
 
4.9%
8 149
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
m 1
25.0%
h 1
25.0%
r 1
25.0%
s 1
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 173
100.0%
Space Separator
ValueCountFrequency (%)
129
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 34041
89.5%
Common 3864
 
10.2%
Latin 138
 
0.4%
Han 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 1533
 
4.5%
스 1497
 
4.4%
리 754
 
2.2%
드 638
 
1.9%
호 609
 
1.8%
에 567
 
1.7%
레 545
 
1.6%
트 515
 
1.5%
아 509
 
1.5%
크 496
 
1.5%
Other values (784) 26378
77.5%
Latin
ValueCountFrequency (%)
R 36
26.1%
C 19
13.8%
B 13
 
9.4%
K 11
 
8.0%
S 11
 
8.0%
A 8
 
5.8%
W 7
 
5.1%
L 5
 
3.6%
I 5
 
3.6%
P 5
 
3.6%
Other values (12) 18
13.0%
Common
ValueCountFrequency (%)
1 801
20.7%
0 724
18.7%
2 502
13.0%
3 351
9.1%
5 261
 
6.8%
4 207
 
5.4%
9 198
 
5.1%
6 189
 
4.9%
7 173
 
4.5%
- 173
 
4.5%
Other values (5) 285
 
7.4%
Han
ValueCountFrequency (%)
仙 1
16.7%
日 1
16.7%
實 1
16.7%
大 1
16.7%
翰 1
16.7%
林 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 34041
89.5%
ASCII 4001
 
10.5%
CJK 6
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 1533
 
4.5%
스 1497
 
4.4%
리 754
 
2.2%
드 638
 
1.9%
호 609
 
1.8%
에 567
 
1.7%
레 545
 
1.6%
트 515
 
1.5%
아 509
 
1.5%
크 496
 
1.5%
Other values (784) 26378
77.5%
ASCII
ValueCountFrequency (%)
1 801
20.0%
0 724
18.1%
2 502
12.5%
3 351
8.8%
5 261
 
6.5%
4 207
 
5.2%
9 198
 
4.9%
6 189
 
4.7%
7 173
 
4.3%
- 173
 
4.3%
Other values (26) 422
10.5%
CJK
ValueCountFrequency (%)
仙 1
16.7%
日 1
16.7%
實 1
16.7%
大 1
16.7%
翰 1
16.7%
林 1
16.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

출원인
Text

Distinct721
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size72.5 KiB
2023-12-13T09:58:18.213356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length43
Mean length7.8173378
Min length2

Characters and Unicode

Total characters72412
Distinct characters476
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

Unique300 ?
Unique (%)3.2%

Sample

1st row조성인
2nd row릭 즈완 자트텔트 앤 자트한델 비.브이.
3rd row임상철
4th row(주)팜한농
5th row남시춘
ValueCountFrequency (%)
농촌진흥청 2328
 
15.6%
농업회사법인 887
 
5.9%
주식회사 383
 
2.6%
경상남도 367
 
2.5%
경기도 362
 
2.4%
산학협력단 274
 
1.8%
충청남도 236
 
1.6%
비.브이 227
 
1.5%
주)농우바이오 209
 
1.4%
홀딩 206
 
1.4%
Other values (946) 9484
63.4%
2023-12-13T09:58:18.559176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5721
 
7.9%
농 3915
 
5.4%
청 2635
 
3.6%
진 2402
 
3.3%
흥 2383
 
3.3%
촌 2328
 
3.2%
이 2312
 
3.2%
주 1838
 
2.5%
도 1694
 
2.3%
사 1636
 
2.3%
Other values (466) 45548
62.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 61277
84.6%
Space Separator 5721
 
7.9%
Open Punctuation 1250
 
1.7%
Close Punctuation 1250
 
1.7%
Lowercase Letter 977
 
1.3%
Other Punctuation 939
 
1.3%
Uppercase Letter 905
 
1.2%
Dash Punctuation 80
 
0.1%
Decimal Number 10
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 3915
 
6.4%
청 2635
 
4.3%
진 2402
 
3.9%
흥 2383
 
3.9%
촌 2328
 
3.8%
이 2312
 
3.8%
주 1838
 
3.0%
도 1694
 
2.8%
사 1636
 
2.7%
회 1501
 
2.4%
Other values (404) 38633
63.0%
Lowercase Letter
ValueCountFrequency (%)
e 163
16.7%
n 133
13.6%
a 92
9.4%
l 85
8.7%
i 79
8.1%
r 71
 
7.3%
k 63
 
6.4%
z 39
 
4.0%
f 37
 
3.8%
m 37
 
3.8%
Other values (15) 178
18.2%
Uppercase Letter
ValueCountFrequency (%)
A 93
 
10.3%
O 92
 
10.2%
L 67
 
7.4%
V 64
 
7.1%
B 60
 
6.6%
P 58
 
6.4%
R 56
 
6.2%
D 50
 
5.5%
F 46
 
5.1%
T 45
 
5.0%
Other values (13) 274
30.3%
Other Punctuation
ValueCountFrequency (%)
. 762
81.2%
/ 73
 
7.8%
, 62
 
6.6%
& 34
 
3.6%
· 8
 
0.9%
Open Punctuation
ValueCountFrequency (%)
( 1249
99.9%
[ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1249
99.9%
] 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
1 5
50.0%
2 5
50.0%
Space Separator
ValueCountFrequency (%)
5721
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 80
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 61277
84.6%
Common 9253
 
12.8%
Latin 1882
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 3915
 
6.4%
청 2635
 
4.3%
진 2402
 
3.9%
흥 2383
 
3.9%
촌 2328
 
3.8%
이 2312
 
3.8%
주 1838
 
3.0%
도 1694
 
2.8%
사 1636
 
2.7%
회 1501
 
2.4%
Other values (404) 38633
63.0%
Latin
ValueCountFrequency (%)
e 163
 
8.7%
n 133
 
7.1%
A 93
 
4.9%
O 92
 
4.9%
a 92
 
4.9%
l 85
 
4.5%
i 79
 
4.2%
r 71
 
3.8%
L 67
 
3.6%
V 64
 
3.4%
Other values (38) 943
50.1%
Common
ValueCountFrequency (%)
5721
61.8%
( 1249
 
13.5%
) 1249
 
13.5%
. 762
 
8.2%
- 80
 
0.9%
/ 73
 
0.8%
, 62
 
0.7%
& 34
 
0.4%
· 8
 
0.1%
1 5
 
0.1%
Other values (4) 10
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 61277
84.6%
ASCII 11127
 
15.4%
None 8
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5721
51.4%
( 1249
 
11.2%
) 1249
 
11.2%
. 762
 
6.8%
e 163
 
1.5%
n 133
 
1.2%
A 93
 
0.8%
O 92
 
0.8%
a 92
 
0.8%
l 85
 
0.8%
Other values (51) 1488
 
13.4%
Hangul
ValueCountFrequency (%)
농 3915
 
6.4%
청 2635
 
4.3%
진 2402
 
3.9%
흥 2383
 
3.9%
촌 2328
 
3.8%
이 2312
 
3.8%
주 1838
 
3.0%
도 1694
 
2.8%
사 1636
 
2.7%
회 1501
 
2.4%
Other values (404) 38633
63.0%
None
ValueCountFrequency (%)
· 8
100.0%

국가
Categorical

Distinct38
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size72.5 KiB
대한민국
4018 
경기도
1096 
네덜란드
749 
일본
537 
서울특별시
450 
Other values (33)
2413 

Length

Max length8
Median length4
Mean length3.7417683
Min length2

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row대한민국
2nd row네덜란드
3rd row대한민국
4th row대한민국
5th row경상북도

Common Values

ValueCountFrequency (%)
대한민국 4018
43.4%
경기도 1096
 
11.8%
네덜란드 749
 
8.1%
일본 537
 
5.8%
서울특별시 450
 
4.9%
경상남도 446
 
4.8%
경상북도 305
 
3.3%
강원도 248
 
2.7%
전라남도 172
 
1.9%
충청북도 169
 
1.8%
Other values (28) 1073
 
11.6%

Length

2023-12-13T09:58:18.674031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대한민국 4018
43.4%
경기도 1096
 
11.8%
네덜란드 749
 
8.1%
일본 537
 
5.8%
서울특별시 450
 
4.9%
경상남도 446
 
4.8%
경상북도 305
 
3.3%
강원도 248
 
2.7%
전라남도 172
 
1.9%
충청북도 169
 
1.8%
Other values (28) 1073
 
11.6%

Interactions

2023-12-13T09:58:14.931248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T09:58:18.733410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록번호작물구분국가
등록번호1.0000.2230.418
작물구분0.2231.0000.587
국가0.4180.5871.000
2023-12-13T09:58:18.802832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
작물구분국가
작물구분1.0000.286
국가0.2861.000
2023-12-13T09:58:18.865603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록번호작물구분국가
등록번호1.0000.1140.159
작물구분0.1141.0000.286
국가0.1590.2861.000

Missing values

2023-12-13T09:58:15.025078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T09:58:15.146132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

등록번호등록일자소멸(예정)일자존속 만료기간품종보호 출원번호출원일작물구분작물명칭품종명칭출원인국가
094882022-12-232042-12-222042-12-2210-2019-0006152019-12-17채소류딸기진스타조성인대한민국
192792022-12-302042-12-292042-12-2910-2021-0001052021-02-26채소류상추보나르다릭 즈완 자트텔트 앤 자트한델 비.브이.네덜란드
292782022-12-292047-12-282047-12-2810-2019-0002332019-04-30과수류복숭아우림상도임상철대한민국
392772022-12-282042-12-272042-12-2710-2020-0006642020-12-31채소류멜론엠이에스유5397(주)팜한농대한민국
492762022-12-262042-12-252042-12-2510-2020-0004952020-10-20채소류대목용박엘에이55남시춘경상북도
592752022-12-262042-12-252042-12-2510-2020-0005912020-12-02채소류상추케이에이와이-011카네코종묘주식회사일본
692742022-12-262042-12-252042-12-2510-2021-0005492021-12-16특용작물차나무설매윤여목경상북도
792732022-12-262042-12-252042-12-2510-2021-0005592021-12-22특용작물차나무벽안윤여목경상북도
892722022-12-262042-12-252042-12-2510-2021-0005632021-12-23특용작물차나무조양윤여목경상북도
992712022-12-232042-12-222042-12-2210-2020-0006112020-11-27채소류상추식팜아삭장고은경기도
등록번호등록일자소멸(예정)일자존속 만료기간품종보호 출원번호출원일작물구분작물명칭품종명칭출원인국가
9253102000-03-282025-03-272025-03-2710-1998-0000341998-11-10과수류사과새나라농촌진흥청대한민국
925492000-03-282021-03-232021-03-2310-1998-0000331998-11-10과수류사과서광농촌진흥청대한민국
925582000-03-282018-03-202018-03-2010-1998-0000321998-11-10과수류사과화홍농촌진흥청대한민국
925672000-03-282018-03-202018-03-2010-1998-0000311998-11-10과수류사과감홍농촌진흥청대한민국
925762000-03-282018-03-202018-03-2010-1998-0000301998-11-10과수류사과추광농촌진흥청대한민국
925852000-03-282013-03-192013-03-1910-1998-0000291998-11-10과수류사과홍로농촌진흥청대한민국
925942000-03-282020-03-192020-03-1910-1998-0000281998-11-10과수류복숭아백향농촌진흥청대한민국
926032000-03-282019-03-162019-03-1610-1998-0000271998-11-10과수류복숭아천홍농촌진흥청대한민국
926122000-03-282009-03-142009-03-1410-1998-0000261998-11-10과수류복숭아백미조생농촌진흥청대한민국
926212000-03-282003-03-192003-03-1910-1998-0000251998-11-10과수류복숭아유명농촌진흥청대한민국