Overview

Dataset statistics

Number of variables13
Number of observations42
Missing cells56
Missing cells (%)10.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.4 KiB
Average record size in memory108.0 B

Variable types

Categorical4
Numeric1
Text6
DateTime2

Dataset

Description한국수목원정원관리원 특허 현황(출원 및 등록명칭, 출원번호, 출원일, 등록번호, 등록일, 출원인 등)에 대한 정보 제공 목적의 개방데이터
Author한국수목원정원관리원
URLhttps://www.data.go.kr/data/15103178/fileData.do

Alerts

구분 is highly overall correlated with 대리인 and 1 other fieldsHigh correlation
출원인 is highly overall correlated with 대리인 and 1 other fieldsHigh correlation
대리인 is highly overall correlated with 구분 and 2 other fieldsHigh correlation
상태정보 is highly overall correlated with 순번(No) and 3 other fieldsHigh correlation
순번(No) is highly overall correlated with 상태정보High correlation
구분 is highly imbalanced (62.9%)Imbalance
출원인 is highly imbalanced (54.2%)Imbalance
키워드 has 19 (45.2%) missing valuesMissing
발명의 명칭(제2언어) has 15 (35.7%) missing valuesMissing
등록번호 has 11 (26.2%) missing valuesMissing
등록일 has 11 (26.2%) missing valuesMissing
출원번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 11:23:16.795302
Analysis finished2024-03-14 11:23:19.382673
Duration2.59 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size464.0 B
연구사업
39 
일반사업
 
3

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row연구사업
2nd row연구사업
3rd row연구사업
4th row연구사업
5th row연구사업

Common Values

ValueCountFrequency (%)
연구사업 39
92.9%
일반사업 3
 
7.1%

Length

2024-03-14T20:23:19.586457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T20:23:19.903873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
연구사업 39
92.9%
일반사업 3
 
7.1%

순번(No)
Real number (ℝ)

HIGH CORRELATION 

Distinct39
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.714286
Minimum1
Maximum39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size506.0 B
2024-03-14T20:23:20.245400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18.25
median18.5
Q328.75
95-th percentile36.95
Maximum39
Range38
Interquartile range (IQR)20.5

Descriptive statistics

Standard deviation11.939452
Coefficient of variation (CV)0.637986
Kurtosis-1.270759
Mean18.714286
Median Absolute Deviation (MAD)10.5
Skewness0.075665929
Sum786
Variance142.55052
MonotonicityNot monotonic
2024-03-14T20:23:20.581468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
1 2
 
4.8%
3 2
 
4.8%
2 2
 
4.8%
39 1
 
2.4%
38 1
 
2.4%
23 1
 
2.4%
24 1
 
2.4%
25 1
 
2.4%
26 1
 
2.4%
27 1
 
2.4%
Other values (29) 29
69.0%
ValueCountFrequency (%)
1 2
4.8%
2 2
4.8%
3 2
4.8%
4 1
2.4%
5 1
2.4%
6 1
2.4%
7 1
2.4%
8 1
2.4%
9 1
2.4%
10 1
2.4%
ValueCountFrequency (%)
39 1
2.4%
38 1
2.4%
37 1
2.4%
36 1
2.4%
35 1
2.4%
34 1
2.4%
33 1
2.4%
32 1
2.4%
31 1
2.4%
30 1
2.4%

키워드
Text

MISSING 

Distinct19
Distinct (%)82.6%
Missing19
Missing (%)45.2%
Memory size464.0 B
2024-03-14T20:23:21.310344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length25
Mean length19.086957
Min length5

Characters and Unicode

Total characters439
Distinct characters65
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)65.2%

Sample

1st rowRhododendron micranthum Rurcz
2nd rowAjuga spectabilis
3rd rowCalamagrostis arundinacea
4th rowhigh pressure enzyme
5th rowcomplex enzyme
ValueCountFrequency (%)
ambrosia 4
 
7.1%
hovenia 2
 
3.6%
artermisiifolia 2
 
3.6%
오일 2
 
3.6%
dulcis 2
 
3.6%
소나무 2
 
3.6%
l 2
 
3.6%
sinensis 2
 
3.6%
camellia 2
 
3.6%
trifida 2
 
3.6%
Other values (33) 34
60.7%
2024-03-14T20:23:22.291513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 46
 
10.5%
a 38
 
8.7%
34
 
7.7%
r 28
 
6.4%
s 28
 
6.4%
e 26
 
5.9%
o 23
 
5.2%
n 20
 
4.6%
l 19
 
4.3%
m 18
 
4.1%
Other values (55) 159
36.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 348
79.3%
Space Separator 34
 
7.7%
Other Letter 30
 
6.8%
Uppercase Letter 22
 
5.0%
Other Punctuation 4
 
0.9%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 46
13.2%
a 38
10.9%
r 28
 
8.0%
s 28
 
8.0%
e 26
 
7.5%
o 23
 
6.6%
n 20
 
5.7%
l 19
 
5.5%
m 18
 
5.2%
u 16
 
4.6%
Other values (15) 86
24.7%
Other Letter
ValueCountFrequency (%)
소 3
 
10.0%
오 2
 
6.7%
무 2
 
6.7%
나 2
 
6.7%
일 2
 
6.7%
라 1
 
3.3%
타 1
 
3.3%
제 1
 
3.3%
이 1
 
3.3%
플 1
 
3.3%
Other values (14) 14
46.7%
Uppercase Letter
ValueCountFrequency (%)
A 5
22.7%
R 3
13.6%
C 3
13.6%
H 2
 
9.1%
L 2
 
9.1%
T 1
 
4.5%
K 1
 
4.5%
D 1
 
4.5%
B 1
 
4.5%
M 1
 
4.5%
Other values (2) 2
 
9.1%
Other Punctuation
ValueCountFrequency (%)
, 3
75.0%
. 1
 
25.0%
Space Separator
ValueCountFrequency (%)
34
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 370
84.3%
Common 39
 
8.9%
Hangul 30
 
6.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 46
12.4%
a 38
 
10.3%
r 28
 
7.6%
s 28
 
7.6%
e 26
 
7.0%
o 23
 
6.2%
n 20
 
5.4%
l 19
 
5.1%
m 18
 
4.9%
u 16
 
4.3%
Other values (27) 108
29.2%
Hangul
ValueCountFrequency (%)
소 3
 
10.0%
오 2
 
6.7%
무 2
 
6.7%
나 2
 
6.7%
일 2
 
6.7%
라 1
 
3.3%
타 1
 
3.3%
제 1
 
3.3%
이 1
 
3.3%
플 1
 
3.3%
Other values (14) 14
46.7%
Common
ValueCountFrequency (%)
34
87.2%
, 3
 
7.7%
- 1
 
2.6%
. 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 409
93.2%
Hangul 30
 
6.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i 46
 
11.2%
a 38
 
9.3%
34
 
8.3%
r 28
 
6.8%
s 28
 
6.8%
e 26
 
6.4%
o 23
 
5.6%
n 20
 
4.9%
l 19
 
4.6%
m 18
 
4.4%
Other values (31) 129
31.5%
Hangul
ValueCountFrequency (%)
소 3
 
10.0%
오 2
 
6.7%
무 2
 
6.7%
나 2
 
6.7%
일 2
 
6.7%
라 1
 
3.3%
타 1
 
3.3%
제 1
 
3.3%
이 1
 
3.3%
플 1
 
3.3%
Other values (14) 14
46.7%

발명의 명칭
Text

Distinct41
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size464.0 B
2024-03-14T20:23:23.394656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length50
Mean length39.380952
Min length6

Characters and Unicode

Total characters1654
Distinct characters204
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

Unique40 ?
Unique (%)95.2%

Sample

1st row항산화, 주름개선 및 미백효능을 보유한 꼬리진달래 발효소재 및 그의 제조방법
2nd row자란초 추출물을 함유한 항산화, 미백 효능이 있는 화장료 조성물
3rd row실새풀 추출물을 함유한 항산화 및 미백 효능이 있는 화장료 조성물
4th row초고압 효소처리를 이용한 도라지 추출물 제조 방법 및 이를 포함하는 항산화 또는 a-글루코시다제 저해 활성을 갖는 조성물
5th row복합 효소를 이용한 도라지 추출물 제조 방법 및 이를 포함하는 항산화, 미백 또는 주름개선용 조성물
ValueCountFrequency (%)
및 27
 
6.8%
조성물 24
 
6.0%
유효성분으로 16
 
4.0%
함유하는 14
 
3.5%
이용한 10
 
2.5%
항산화 9
 
2.3%
또는 9
 
2.3%
추출물을 7
 
1.8%
목부로부터 6
 
1.5%
추출한 6
 
1.5%
Other values (155) 271
67.9%
2024-03-14T20:23:24.960015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
362
 
21.9%
물 53
 
3.2%
성 49
 
3.0%
유 40
 
2.4%
이 39
 
2.4%
조 37
 
2.2%
을 35
 
2.1%
는 35
 
2.1%
용 31
 
1.9%
한 29
 
1.8%
Other values (194) 944
57.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1255
75.9%
Space Separator 362
 
21.9%
Other Punctuation 12
 
0.7%
Uppercase Letter 9
 
0.5%
Lowercase Letter 7
 
0.4%
Open Punctuation 3
 
0.2%
Close Punctuation 3
 
0.2%
Dash Punctuation 2
 
0.1%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
물 53
 
4.2%
성 49
 
3.9%
유 40
 
3.2%
이 39
 
3.1%
조 37
 
2.9%
을 35
 
2.8%
는 35
 
2.8%
용 31
 
2.5%
한 29
 
2.3%
및 27
 
2.2%
Other values (174) 880
70.1%
Uppercase Letter
ValueCountFrequency (%)
D 3
33.3%
N 1
 
11.1%
A 1
 
11.1%
C 1
 
11.1%
P 1
 
11.1%
R 1
 
11.1%
B 1
 
11.1%
Lowercase Letter
ValueCountFrequency (%)
c 1
14.3%
t 1
14.3%
e 1
14.3%
r 1
14.3%
i 1
14.3%
d 1
14.3%
a 1
14.3%
Space Separator
ValueCountFrequency (%)
362
100.0%
Other Punctuation
ValueCountFrequency (%)
, 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1255
75.9%
Common 383
 
23.2%
Latin 16
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
물 53
 
4.2%
성 49
 
3.9%
유 40
 
3.2%
이 39
 
3.1%
조 37
 
2.9%
을 35
 
2.8%
는 35
 
2.8%
용 31
 
2.5%
한 29
 
2.3%
및 27
 
2.2%
Other values (174) 880
70.1%
Latin
ValueCountFrequency (%)
D 3
18.8%
N 1
 
6.2%
A 1
 
6.2%
c 1
 
6.2%
t 1
 
6.2%
e 1
 
6.2%
r 1
 
6.2%
i 1
 
6.2%
d 1
 
6.2%
C 1
 
6.2%
Other values (4) 4
25.0%
Common
ValueCountFrequency (%)
362
94.5%
, 12
 
3.1%
( 3
 
0.8%
) 3
 
0.8%
- 2
 
0.5%
1 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1255
75.9%
ASCII 399
 
24.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
362
90.7%
, 12
 
3.0%
( 3
 
0.8%
) 3
 
0.8%
D 3
 
0.8%
- 2
 
0.5%
N 1
 
0.3%
A 1
 
0.3%
c 1
 
0.3%
t 1
 
0.3%
Other values (10) 10
 
2.5%
Hangul
ValueCountFrequency (%)
물 53
 
4.2%
성 49
 
3.9%
유 40
 
3.2%
이 39
 
3.1%
조 37
 
2.9%
을 35
 
2.8%
는 35
 
2.8%
용 31
 
2.5%
한 29
 
2.3%
및 27
 
2.2%
Other values (174) 880
70.1%

발명의 명칭(제2언어)
Text

MISSING 

Distinct24
Distinct (%)88.9%
Missing15
Missing (%)35.7%
Memory size464.0 B
2024-03-14T20:23:26.195810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length192
Median length132
Mean length123.22222
Min length22

Characters and Unicode

Total characters3327
Distinct characters54
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)77.8%

Sample

1st rowManufacturing Method and Fermented Material of Rhododendron micranthum Rurcz. Having Antioxidant, Anti-Wrinkle and Skin-Whitening
2nd rowCOSMETIC COMPOSITION WITH ANTI OXIDANT AND SKIN WHITENING EFFECT WHICH CONTAINS Ajuga spectabilis EXTRACT AS A EFFECTIVE INGREDIENT
3rd rowCOSMETIC COMPOSITION WITH ANTI OXIDANT AND SKIN WHITENING EFFECT WHICH CONTAINS Calamagrostis arundinacea EXTRACT AS A EFFECTIVE INGREDIENT
4th rowThe method for preparing a Platycodon grandiflorum extract using a high pressure enzyme treatment and acomposition having antioxidant or α-glucosidase inhibiting activity
5th rowThe method for preparing a Platycodon grandiflorum extract using a complex enzyme and a composition for improving antioxidant, whitening or wrinkles containing the same
ValueCountFrequency (%)
composition 24
 
5.5%
and 22
 
5.1%
for 22
 
5.1%
the 17
 
3.9%
of 16
 
3.7%
containing 14
 
3.2%
as 11
 
2.5%
a 10
 
2.3%
ingredient 10
 
2.3%
activity 10
 
2.3%
Other values (136) 279
64.1%
2024-03-14T20:23:27.796236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
412
 
12.4%
i 331
 
9.9%
n 256
 
7.7%
o 248
 
7.5%
t 230
 
6.9%
a 211
 
6.3%
e 177
 
5.3%
r 169
 
5.1%
s 126
 
3.8%
m 95
 
2.9%
Other values (44) 1072
32.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2582
77.6%
Space Separator 412
 
12.4%
Uppercase Letter 304
 
9.1%
Dash Punctuation 14
 
0.4%
Other Punctuation 14
 
0.4%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 331
12.8%
n 256
 
9.9%
o 248
 
9.6%
t 230
 
8.9%
a 211
 
8.2%
e 177
 
6.9%
r 169
 
6.5%
s 126
 
4.9%
m 95
 
3.7%
c 94
 
3.6%
Other values (17) 645
25.0%
Uppercase Letter
ValueCountFrequency (%)
C 38
12.5%
I 36
11.8%
T 35
11.5%
A 34
11.2%
E 24
 
7.9%
N 22
 
7.2%
O 17
 
5.6%
P 13
 
4.3%
S 13
 
4.3%
F 11
 
3.6%
Other values (12) 61
20.1%
Other Punctuation
ValueCountFrequency (%)
, 11
78.6%
. 3
 
21.4%
Space Separator
ValueCountFrequency (%)
412
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2885
86.7%
Common 441
 
13.3%
Greek 1
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 331
 
11.5%
n 256
 
8.9%
o 248
 
8.6%
t 230
 
8.0%
a 211
 
7.3%
e 177
 
6.1%
r 169
 
5.9%
s 126
 
4.4%
m 95
 
3.3%
c 94
 
3.3%
Other values (38) 948
32.9%
Common
ValueCountFrequency (%)
412
93.4%
- 14
 
3.2%
, 11
 
2.5%
. 3
 
0.7%
1 1
 
0.2%
Greek
ValueCountFrequency (%)
α 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3326
> 99.9%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
412
 
12.4%
i 331
 
10.0%
n 256
 
7.7%
o 248
 
7.5%
t 230
 
6.9%
a 211
 
6.3%
e 177
 
5.3%
r 169
 
5.1%
s 126
 
3.8%
m 95
 
2.9%
Other values (43) 1071
32.2%
None
ValueCountFrequency (%)
α 1
100.0%

출원번호
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size464.0 B
2024-03-14T20:23:28.470164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length15.142857
Min length15

Characters and Unicode

Total characters636
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)100.0%

Sample

1st row10-2017-0134363
2nd row10-2017-0166742
3rd row10-2017-0166722
4th row10-2018-0124664
5th row10-2018-0124665
ValueCountFrequency (%)
10-2017-0134363 1
 
2.4%
10-2021-0156733 1
 
2.4%
10-2022-0051422 1
 
2.4%
10-2020-0145438 1
 
2.4%
10-2020-0020347 1
 
2.4%
10-2021-0040721 1
 
2.4%
10-2021-0106809 1
 
2.4%
10-2021-0132046 1
 
2.4%
10-2021-0156398 1
 
2.4%
10-2021-0156425 1
 
2.4%
Other values (32) 32
76.2%
2024-03-14T20:23:29.552100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 171
26.9%
2 106
16.7%
1 99
15.6%
- 78
12.3%
4 28
 
4.4%
8 26
 
4.1%
6 26
 
4.1%
5 22
 
3.5%
9 22
 
3.5%
7 22
 
3.5%
Other values (7) 36
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 537
84.4%
Dash Punctuation 78
 
12.3%
Uppercase Letter 15
 
2.4%
Other Punctuation 6
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 171
31.8%
2 106
19.7%
1 99
18.4%
4 28
 
5.2%
8 26
 
4.8%
6 26
 
4.8%
5 22
 
4.1%
9 22
 
4.1%
7 22
 
4.1%
3 15
 
2.8%
Uppercase Letter
ValueCountFrequency (%)
P 3
20.0%
C 3
20.0%
T 3
20.0%
K 3
20.0%
R 3
20.0%
Dash Punctuation
ValueCountFrequency (%)
- 78
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 621
97.6%
Latin 15
 
2.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 171
27.5%
2 106
17.1%
1 99
15.9%
- 78
12.6%
4 28
 
4.5%
8 26
 
4.2%
6 26
 
4.2%
5 22
 
3.5%
9 22
 
3.5%
7 22
 
3.5%
Other values (2) 21
 
3.4%
Latin
ValueCountFrequency (%)
P 3
20.0%
C 3
20.0%
T 3
20.0%
K 3
20.0%
R 3
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 636
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 171
26.9%
2 106
16.7%
1 99
15.6%
- 78
12.3%
4 28
 
4.4%
8 26
 
4.1%
6 26
 
4.1%
5 22
 
3.5%
9 22
 
3.5%
7 22
 
3.5%
Other values (7) 36
 
5.7%

등록번호
Text

MISSING 

Distinct31
Distinct (%)100.0%
Missing11
Missing (%)26.2%
Memory size464.0 B
2024-03-14T20:23:30.387239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters310
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

Unique31 ?
Unique (%)100.0%

Sample

1st row10-2014130
2nd row10-2021783
3rd row10-2067409
4th row10-1976998
5th row10-1976999
ValueCountFrequency (%)
10-2014130 1
 
3.2%
10-2341603 1
 
3.2%
10-2365181 1
 
3.2%
10-2461319 1
 
3.2%
10-2418705 1
 
3.2%
10-2421305 1
 
3.2%
10-2402794 1
 
3.2%
10-2402787 1
 
3.2%
10-2369110 1
 
3.2%
10-2330390 1
 
3.2%
Other values (21) 21
67.7%
2024-03-14T20:23:31.807348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 56
18.1%
0 55
17.7%
2 43
13.9%
- 31
10.0%
9 24
7.7%
3 23
7.4%
4 20
 
6.5%
6 20
 
6.5%
8 15
 
4.8%
7 14
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 279
90.0%
Dash Punctuation 31
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 56
20.1%
0 55
19.7%
2 43
15.4%
9 24
8.6%
3 23
8.2%
4 20
 
7.2%
6 20
 
7.2%
8 15
 
5.4%
7 14
 
5.0%
5 9
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 310
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 56
18.1%
0 55
17.7%
2 43
13.9%
- 31
10.0%
9 24
7.7%
3 23
7.4%
4 20
 
6.5%
6 20
 
6.5%
8 15
 
4.8%
7 14
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 310
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 56
18.1%
0 55
17.7%
2 43
13.9%
- 31
10.0%
9 24
7.7%
3 23
7.4%
4 20
 
6.5%
6 20
 
6.5%
8 15
 
4.8%
7 14
 
4.5%

출원일
Date

Distinct32
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Memory size464.0 B
Minimum2017-10-17 00:00:00
Maximum2022-12-06 00:00:00
2024-03-14T20:23:32.175297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:23:32.566301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)

등록일
Date

MISSING 

Distinct25
Distinct (%)80.6%
Missing11
Missing (%)26.2%
Memory size464.0 B
Minimum2019-01-29 00:00:00
Maximum2022-11-22 00:00:00
2024-03-14T20:23:32.854798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:23:33.066179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

출원인
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct7
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size464.0 B
한국수목원정원관리원
33 
한국수목원정원관리원, 봉화군
 
2
한국수목원정원관리원, 한국화학연구원
 
2
㈜에코넷코리아, 한국수목원정원관리원
 
2
헬스밸런스,한국수목원정원관리원,금산덕원인산약초영농법인
 
1
Other values (2)
 
2

Length

Max length29
Median length10
Mean length12.071429
Min length10

Unique

Unique3 ?
Unique (%)7.1%

Sample

1st row한국수목원정원관리원
2nd row한국수목원정원관리원
3rd row한국수목원정원관리원
4th row한국수목원정원관리원, 봉화군
5th row한국수목원정원관리원, 봉화군

Common Values

ValueCountFrequency (%)
한국수목원정원관리원 33
78.6%
한국수목원정원관리원, 봉화군 2
 
4.8%
한국수목원정원관리원, 한국화학연구원 2
 
4.8%
㈜에코넷코리아, 한국수목원정원관리원 2
 
4.8%
헬스밸런스,한국수목원정원관리원,금산덕원인산약초영농법인 1
 
2.4%
㈜더마랩, ㈜그린코스, 한국수목원정원관리원 1
 
2.4%
한국수목원정원관리원, ㈜에코넷코리아 1
 
2.4%

Length

2024-03-14T20:23:33.442167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T20:23:33.662641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국수목원정원관리원 41
80.4%
㈜에코넷코리아 3
 
5.9%
봉화군 2
 
3.9%
한국화학연구원 2
 
3.9%
헬스밸런스,한국수목원정원관리원,금산덕원인산약초영농법인 1
 
2.0%
㈜더마랩 1
 
2.0%
㈜그린코스 1
 
2.0%

발명자 및 고안자
Text

Distinct33
Distinct (%)78.6%
Missing0
Missing (%)0.0%
Memory size464.0 B
2024-03-14T20:23:34.435656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length38
Mean length21.547619
Min length8

Characters and Unicode

Total characters905
Distinct characters84
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

Unique25 ?
Unique (%)59.5%

Sample

1st row김영수, 허태임, 이준우, 박지애
2nd row김영수, 허태임, 이준우, 박지애
3rd row김영수, 허태임, 이준우, 박지애
4th row김영수, 송훈민, 이민성, 최미나
5th row김영수, 김대욱, 임창남, 박지애, 정회석
ValueCountFrequency (%)
김영수 24
 
12.1%
김대욱 18
 
9.1%
오유진 11
 
5.6%
나채선 9
 
4.5%
박충열 8
 
4.0%
최미나 7
 
3.5%
이다현 6
 
3.0%
우현심 5
 
2.5%
정회석 5
 
2.5%
이민성 5
 
2.5%
Other values (57) 100
50.5%
2024-03-14T20:23:35.716085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 156
17.2%
156
17.2%
김 63
 
7.0%
이 32
 
3.5%
영 30
 
3.3%
수 29
 
3.2%
현 25
 
2.8%
정 21
 
2.3%
대 19
 
2.1%
욱 18
 
2.0%
Other values (74) 356
39.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 593
65.5%
Other Punctuation 156
 
17.2%
Space Separator 156
 
17.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 63
 
10.6%
이 32
 
5.4%
영 30
 
5.1%
수 29
 
4.9%
현 25
 
4.2%
정 21
 
3.5%
대 19
 
3.2%
욱 18
 
3.0%
민 17
 
2.9%
나 17
 
2.9%
Other values (72) 322
54.3%
Other Punctuation
ValueCountFrequency (%)
, 156
100.0%
Space Separator
ValueCountFrequency (%)
156
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 593
65.5%
Common 312
34.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 63
 
10.6%
이 32
 
5.4%
영 30
 
5.1%
수 29
 
4.9%
현 25
 
4.2%
정 21
 
3.5%
대 19
 
3.2%
욱 18
 
3.0%
민 17
 
2.9%
나 17
 
2.9%
Other values (72) 322
54.3%
Common
ValueCountFrequency (%)
, 156
50.0%
156
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 593
65.5%
ASCII 312
34.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 156
50.0%
156
50.0%
Hangul
ValueCountFrequency (%)
김 63
 
10.6%
이 32
 
5.4%
영 30
 
5.1%
수 29
 
4.9%
현 25
 
4.2%
정 21
 
3.5%
대 19
 
3.2%
욱 18
 
3.0%
민 17
 
2.9%
나 17
 
2.9%
Other values (72) 322
54.3%

대리인
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size464.0 B
<NA>
29 
최규환
7 
신진현
 
2
권혁철
 
1
김지형
 
1
Other values (2)
 
2

Length

Max length4
Median length4
Mean length3.6904762
Min length3

Unique

Unique4 ?
Unique (%)9.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
69.0%
최규환 7
 
16.7%
신진현 2
 
4.8%
권혁철 1
 
2.4%
김지형 1
 
2.4%
차건호 1
 
2.4%
김석계 1
 
2.4%

Length

2024-03-14T20:23:35.944016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T20:23:36.151862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
69.0%
최규환 7
 
16.7%
신진현 2
 
4.8%
권혁철 1
 
2.4%
김지형 1
 
2.4%
차건호 1
 
2.4%
김석계 1
 
2.4%

상태정보
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size464.0 B
KR
27 
<NA>
15 

Length

Max length4
Median length2
Mean length2.7142857
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowKR
2nd rowKR
3rd rowKR
4th rowKR
5th rowKR

Common Values

ValueCountFrequency (%)
KR 27
64.3%
<NA> 15
35.7%

Length

2024-03-14T20:23:36.390352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T20:23:36.585683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
kr 27
64.3%
na 15
35.7%

Interactions

2024-03-14T20:23:17.832074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T20:23:36.767011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분순번(No)키워드발명의 명칭발명의 명칭(제2언어)출원번호등록번호출원일등록일출원인발명자 및 고안자대리인
구분1.0000.6021.0001.0001.0001.0001.0001.0001.0000.0001.0001.000
순번(No)0.6021.0000.5430.9250.8371.0001.0000.9950.9080.0000.9480.225
키워드1.0000.5431.0001.0001.0001.0001.0000.8420.8151.0000.9801.000
발명의 명칭1.0000.9251.0001.0001.0001.0001.0000.9620.9771.0001.0001.000
발명의 명칭(제2언어)1.0000.8371.0001.0001.0001.0001.0000.9771.0001.0001.0001.000
출원번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
등록번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
출원일1.0000.9950.8420.9620.9771.0001.0001.0000.9941.0000.9881.000
등록일1.0000.9080.8150.9771.0001.0001.0000.9941.0000.7310.9401.000
출원인0.0000.0001.0001.0001.0001.0001.0001.0000.7311.0001.0000.836
발명자 및 고안자1.0000.9480.9801.0001.0001.0001.0000.9880.9401.0001.0001.000
대리인1.0000.2251.0001.0001.0001.0001.0001.0001.0000.8361.0001.000
2024-03-14T20:23:37.096077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분출원인대리인상태정보
구분1.0000.0000.7981.000
출원인0.0001.0000.5951.000
대리인0.7980.5951.0001.000
상태정보1.0001.0001.0001.000
2024-03-14T20:23:37.353188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번(No)구분출원인대리인상태정보
순번(No)1.0000.4110.0000.0001.000
구분0.4111.0000.0000.7981.000
출원인0.0000.0001.0000.5951.000
대리인0.0000.7980.5951.0001.000
상태정보1.0001.0001.0001.0001.000

Missing values

2024-03-14T20:23:18.217968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T20:23:18.775907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-03-14T20:23:19.169542image/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

구분순번(No)키워드발명의 명칭발명의 명칭(제2언어)출원번호등록번호출원일등록일출원인발명자 및 고안자대리인상태정보
0연구사업1Rhododendron micranthum Rurcz항산화, 주름개선 및 미백효능을 보유한 꼬리진달래 발효소재 및 그의 제조방법Manufacturing Method and Fermented Material of Rhododendron micranthum Rurcz. Having Antioxidant, Anti-Wrinkle and Skin-Whitening10-2017-013436310-20141302017-10-172019-08-20한국수목원정원관리원김영수, 허태임, 이준우, 박지애<NA>KR
1연구사업2Ajuga spectabilis자란초 추출물을 함유한 항산화, 미백 효능이 있는 화장료 조성물COSMETIC COMPOSITION WITH ANTI OXIDANT AND SKIN WHITENING EFFECT WHICH CONTAINS Ajuga spectabilis EXTRACT AS A EFFECTIVE INGREDIENT10-2017-016674210-20217832017-12-062019-09-09한국수목원정원관리원김영수, 허태임, 이준우, 박지애<NA>KR
2연구사업3Calamagrostis arundinacea실새풀 추출물을 함유한 항산화 및 미백 효능이 있는 화장료 조성물COSMETIC COMPOSITION WITH ANTI OXIDANT AND SKIN WHITENING EFFECT WHICH CONTAINS Calamagrostis arundinacea EXTRACT AS A EFFECTIVE INGREDIENT10-2017-016672210-20674092017-12-062020-01-13한국수목원정원관리원김영수, 허태임, 이준우, 박지애<NA>KR
3연구사업4high pressure enzyme초고압 효소처리를 이용한 도라지 추출물 제조 방법 및 이를 포함하는 항산화 또는 a-글루코시다제 저해 활성을 갖는 조성물The method for preparing a Platycodon grandiflorum extract using a high pressure enzyme treatment and acomposition having antioxidant or α-glucosidase inhibiting activity10-2018-012466410-19769982018-10-182019-05-02한국수목원정원관리원, 봉화군김영수, 송훈민, 이민성, 최미나<NA>KR
4연구사업5complex enzyme복합 효소를 이용한 도라지 추출물 제조 방법 및 이를 포함하는 항산화, 미백 또는 주름개선용 조성물The method for preparing a Platycodon grandiflorum extract using a complex enzyme and a composition for improving antioxidant, whitening or wrinkles containing the same10-2018-012466510-19769992018-10-182019-05-02한국수목원정원관리원, 봉화군김영수, 김대욱, 임창남, 박지애, 정회석<NA>KR
5연구사업6Rhus javanica붉나무 추출물을 유효성분으로 함유하는 항산화 및 미백효과 개선용 화장료 조성물The Cosmetic Composition For The Improvement of Anti-Oxidant and Whitening Effect Including The Extract Of Rhus javanica As An Active Ingredient10-2018-014206610-20676392018-11-162020-01-13한국수목원정원관리원김영수, 임창남, 이동혁, 최미나, 정회석, 이준우, 송훈민<NA>KR
6연구사업7Junglans mandshurica가래나무 수액을 유효성분으로 함유하는 화장료 조성물The Cosmetic Composition Including The Sap Of Junglans mandshurica MAX As An Active Ingredient10-2018-014179710-19455272018-11-162019-01-29한국수목원정원관리원김영수, 김대욱, 변준기, 허태임, 박지애, 이민성<NA>KR
7연구사업8Camellia sinensis L차나무 추출물을 유효성분으로 함유하는 항산화 및 미백효과 개선용 화장료 조성물The Cosmetic Composition For The Improvement of Anti-Oxidant and Whitening Effect Including The Extract Of Camellia sinensis L., As An Active Ingredient10-2018-014406110-20088682018-11-212019-08-02한국수목원정원관리원김영수, 김대욱, 이민성, 송훈민, 임현정, 김현철<NA>KR
8연구사업9Hovenia dulcis헛개나무 뿌리 추출물, 이의 분획물 또는 이로부터 분리된 화합물을 포함하는 염증성 예방 또는 치료용 약학 조성물Pharmaceutical composition for prevention or treatment inflammatory diseases comprising comprising root extract Hovenia dulcis, or fractions thereof, or compounds isolated from therefrom10-2018-015628810-21912792018-12-062020-12-09한국수목원정원관리원, 한국화학연구원김대욱, 허정두, 이선민, 우현심<NA>KR
9연구사업10Schizopepon bryoniifolius Maxim.산외 추출물을 유효성분으로 포함하는 항산화용 또는 항염증용 조성물Composition for anti-oxidation or anti-inflammation containing extracts of Schizopepon bryoniifolius Maxim. as a active ingredients10-2019-015015910-21664352019-11-212020-10-08한국수목원정원관리원김대욱, 조해진, 오유진, 우현심, 변준기<NA><NA>
구분순번(No)키워드발명의 명칭발명의 명칭(제2언어)출원번호등록번호출원일등록일출원인발명자 및 고안자대리인상태정보
32연구사업33티로신 포스파타제단백질 티로신 포스파타제 1B 억제 활성을 보유한 화합물, 및 상기 화합물을 이용한 당뇨병을 예방, 개선 또는 치료하기 위한 조성물Compounds for inhibiting protein tyrosine phosphatase 1B activity, and composition compring the compounds for treating diabetes10-2022-000500710-24213052022-01-132022-07-12한국수목원정원관리원김대욱, 임현정, 송기선, 오유진<NA>KR
33연구사업34이소플라본이소플라본 배당체를 이소플라본 아글리콘으로 생물변환하는 방법Method for biotransformation of isoflavone aglycone from isoflavone glycoside10-2022-005283510-24187052022-04-282022-07-05한국수목원정원관리원김영수, 김대욱, 신경철, 나채선, 오유진<NA>KR
34연구사업35<NA>식물종자 발아검정을 위한 휴면타파용 항균 종이<NA>10-2022-0086902<NA>2022-07-14<NA>한국수목원정원관리원, ㈜에코넷코리아박충열, 이다현, 김현민, 김예슬, 나채선, 정영호, 김혜경, 정상권최규환<NA>
35연구사업36<NA>싸리류의 DNA 바코드 분석을 위한 PCR direct 시퀀싱용 프라이머 세트 및 이의 용도<NA>10-2022-0168912<NA>2022-12-06<NA>한국수목원정원관리원박충열, 김경민, 송세규, 이다현, 김도현, 나채선, 김회진, 김준혁, 김현민최규환<NA>
36연구사업37<NA>(해외출원)소나무 목부로부터 추출한 오일을 유효성분으로 함유하는 항균 조성물Composition for antibacterial activity containing oil distilled from Pinus densiflora xylemPCT/KR2022/017899<NA>2022-11-14<NA>한국수목원정원관리원김대욱, 김영수, 오유진, 한경민, 김재우<NA>KR
37연구사업38소나무 오일(해외출원)소나무 목부로부터 추출한 오일을 유효성분으로 함유하는 항바이러스 조성물Composition for antiviral activity containing oil distilled from Pinus densiflora xylemPCT/KR2022/017900<NA>2022-11-14<NA>한국수목원정원관리원김대욱, 김영수, 오유진<NA>KR
38연구사업39<NA>(해외출원)소나무 목부로부터 추출한 오일을 유효성분으로 함유하는 항산화 및 항염 조성물Composition for anti-oxidation activity and anti-inflammatory activity containing oil distilled from Pinus densiflora xylemPCT/KR2022/017827<NA>2022-11-14<NA>한국수목원정원관리원김대욱, 김영수, 오유진, 김재우, 이민성<NA>KR
39일반사업1<NA>식물탐험지도 및 이를 이용한 식물정보 확인방법<NA>10-2022-003040410-24613192022-03-112022-10-26한국수목원정원관리원김혜진, 최지윤, 김혜윤김지형<NA>
40일반사업2<NA>실내용 온실<NA>10-2022-005142210-24710812022-04-262022-11-22한국수목원정원관리원박원순, 권진온차건호<NA>
41일반사업3식물 재배용 화분식물 재배용 화분Pots for growing plant10-2022-0096442<NA>2022-08-03<NA>한국수목원정원관리원강신구, 김정민, 김영률, 안창호, 이하나, 윤현원김석계KR