Overview

Dataset statistics

Number of variables10
Number of observations10000
Missing cells7700
Missing cells (%)7.7%
Duplicate rows129
Duplicate rows (%)1.3%
Total size in memory869.1 KiB
Average record size in memory89.0 B

Variable types

DateTime2
Text5
Categorical2
Numeric1

Dataset

Description식물 신품종 보호권이 부여되어 조사기준일에 품종보호권이 유효한 품종에 대하여 특성조사기준의 조사형질별 특성에 대한 정보(주요작물: 벼, 보리, 콩, 고추, 국화, 장미, 사과)
URLhttps://www.data.go.kr/data/15012059/fileData.do

Alerts

Dataset has 129 (1.3%) duplicate rowsDuplicates
계측값 has 6284 (62.8%) missing valuesMissing
계급값 has 1416 (14.2%) missing valuesMissing

Reproduction

Analysis started2023-12-12 07:52:48.070643
Analysis finished2023-12-12 07:52:49.676689
Duration1.61 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

출원일
Date

Distinct489
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum1998-11-10 00:00:00
Maximum2016-03-28 00:00:00
2023-12-12T16:52:49.771358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:52:50.230235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

출원인
Text

Distinct104
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T16:52:50.558028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length27
Mean length6.2114
Min length3

Characters and Unicode

Total characters62114
Distinct characters226
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row경상남도
2nd row농촌진흥청
3rd row농촌진흥청
4th row경상남도
5th row충청남도
ValueCountFrequency (%)
농촌진흥청 3743
29.3%
경상남도 1034
 
8.1%
경상북도 761
 
6.0%
산학협력단 648
 
5.1%
충청남도 645
 
5.1%
경기도 550
 
4.3%
농업회사법인 353
 
2.8%
서울대학교 204
 
1.6%
전라북도 203
 
1.6%
사카타코리아(주 138
 
1.1%
Other values (146) 4487
35.1%
2023-12-12T16:52:51.083249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
청 4516
 
7.3%
농 4250
 
6.8%
진 3785
 
6.1%
흥 3768
 
6.1%
촌 3743
 
6.0%
도 3582
 
5.8%
2812
 
4.5%
경 2528
 
4.1%
남 2013
 
3.2%
상 1848
 
3.0%
Other values (216) 29269
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 57274
92.2%
Space Separator 2812
 
4.5%
Open Punctuation 708
 
1.1%
Close Punctuation 708
 
1.1%
Other Punctuation 262
 
0.4%
Uppercase Letter 186
 
0.3%
Lowercase Letter 144
 
0.2%
Dash Punctuation 20
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 4516
 
7.9%
농 4250
 
7.4%
진 3785
 
6.6%
흥 3768
 
6.6%
촌 3743
 
6.5%
도 3582
 
6.3%
경 2528
 
4.4%
남 2013
 
3.5%
상 1848
 
3.2%
학 1479
 
2.6%
Other values (191) 25762
45.0%
Uppercase Letter
ValueCountFrequency (%)
K 40
21.5%
T 22
11.8%
G 20
10.8%
U 20
10.8%
I 20
10.8%
H 20
10.8%
C 11
 
5.9%
O 11
 
5.9%
L 11
 
5.9%
D 11
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
i 22
15.3%
m 20
13.9%
l 20
13.9%
r 20
13.9%
b 20
13.9%
s 20
13.9%
a 11
7.6%
k 11
7.6%
Other Punctuation
ValueCountFrequency (%)
, 127
48.5%
. 115
43.9%
& 20
 
7.6%
Space Separator
ValueCountFrequency (%)
2812
100.0%
Open Punctuation
ValueCountFrequency (%)
( 708
100.0%
Close Punctuation
ValueCountFrequency (%)
) 708
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 57274
92.2%
Common 4510
 
7.3%
Latin 330
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 4516
 
7.9%
농 4250
 
7.4%
진 3785
 
6.6%
흥 3768
 
6.6%
촌 3743
 
6.5%
도 3582
 
6.3%
경 2528
 
4.4%
남 2013
 
3.5%
상 1848
 
3.2%
학 1479
 
2.6%
Other values (191) 25762
45.0%
Latin
ValueCountFrequency (%)
K 40
 
12.1%
i 22
 
6.7%
T 22
 
6.7%
G 20
 
6.1%
m 20
 
6.1%
U 20
 
6.1%
I 20
 
6.1%
l 20
 
6.1%
r 20
 
6.1%
b 20
 
6.1%
Other values (8) 106
32.1%
Common
ValueCountFrequency (%)
2812
62.4%
( 708
 
15.7%
) 708
 
15.7%
, 127
 
2.8%
. 115
 
2.5%
& 20
 
0.4%
- 20
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 57274
92.2%
ASCII 4840
 
7.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
청 4516
 
7.9%
농 4250
 
7.4%
진 3785
 
6.6%
흥 3768
 
6.6%
촌 3743
 
6.5%
도 3582
 
6.3%
경 2528
 
4.4%
남 2013
 
3.5%
상 1848
 
3.2%
학 1479
 
2.6%
Other values (191) 25762
45.0%
ASCII
ValueCountFrequency (%)
2812
58.1%
( 708
 
14.6%
) 708
 
14.6%
, 127
 
2.6%
. 115
 
2.4%
K 40
 
0.8%
i 22
 
0.5%
T 22
 
0.5%
& 20
 
0.4%
G 20
 
0.4%
Other values (15) 246
 
5.1%

출원국
Categorical

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
대한민국
5371 
경상남도
1077 
경상북도
879 
경기도
784 
서울특별시
 
489
Other values (17)
1400 

Length

Max length8
Median length4
Mean length3.9381
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경상남도
2nd row대한민국
3rd row대한민국
4th row경상남도
5th row대한민국

Common Values

ValueCountFrequency (%)
대한민국 5371
53.7%
경상남도 1077
 
10.8%
경상북도 879
 
8.8%
경기도 784
 
7.8%
서울특별시 489
 
4.9%
전라남도 254
 
2.5%
네덜란드 227
 
2.3%
대구광역시 154
 
1.5%
영국 137
 
1.4%
광주광역시 107
 
1.1%
Other values (12) 521
 
5.2%

Length

2023-12-12T16:52:51.263656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대한민국 5371
53.7%
경상남도 1077
 
10.8%
경상북도 879
 
8.8%
경기도 784
 
7.8%
서울특별시 489
 
4.9%
전라남도 254
 
2.5%
네덜란드 227
 
2.3%
대구광역시 154
 
1.5%
영국 137
 
1.4%
광주광역시 107
 
1.1%
Other values (12) 521
 
5.2%

품종보호권 등록일
Date

Distinct292
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2000-03-28 00:00:00
Maximum2020-07-08 00:00:00
2023-12-12T16:52:51.422654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:52:51.585500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

등록번호
Real number (ℝ)

Distinct1359
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4212.9105
Minimum10
Maximum8241
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:52:51.759465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile1230.95
Q13018
median4208
Q35578
95-th percentile6696
Maximum8241
Range8231
Interquartile range (IQR)2560

Descriptive statistics

Standard deviation1657.5173
Coefficient of variation (CV)0.39343757
Kurtosis-0.79738118
Mean4212.9105
Median Absolute Deviation (MAD)1349
Skewness-0.21484972
Sum42129105
Variance2747363.5
MonotonicityNot monotonic
2023-12-12T16:52:51.926107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3018 33
 
0.3%
5548 27
 
0.3%
3300 26
 
0.3%
3540 25
 
0.2%
5537 25
 
0.2%
5696 25
 
0.2%
5467 24
 
0.2%
6197 24
 
0.2%
3864 24
 
0.2%
6811 24
 
0.2%
Other values (1349) 9743
97.4%
ValueCountFrequency (%)
10 5
0.1%
514 3
< 0.1%
515 6
0.1%
516 6
0.1%
517 7
0.1%
534 6
0.1%
562 4
< 0.1%
563 4
< 0.1%
564 6
0.1%
581 2
 
< 0.1%
ValueCountFrequency (%)
8241 4
 
< 0.1%
8240 5
 
0.1%
8239 9
0.1%
8150 1
 
< 0.1%
7556 4
 
< 0.1%
7513 4
 
< 0.1%
7473 1
 
< 0.1%
7362 5
 
0.1%
7343 1
 
< 0.1%
7342 13
0.1%

작물명
Categorical

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
국화
3279 
벼
2409 
장미
1675 
고추
1256 
보리
492 
Other values (2)
889 

Length

Max length2
Median length2
Mean length1.7188
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row국화
2nd row국화
3rd row보리
4th row국화
5th row국화

Common Values

ValueCountFrequency (%)
국화 3279
32.8%
벼 2409
24.1%
장미 1675
16.8%
고추 1256
 
12.6%
보리 492
 
4.9%
사과 486
 
4.9%
콩 403
 
4.0%

Length

2023-12-12T16:52:52.085320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:52:52.225373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국화 3279
32.8%
벼 2409
24.1%
장미 1675
16.8%
고추 1256
 
12.6%
보리 492
 
4.9%
사과 486
 
4.9%
콩 403
 
4.0%

품종명
Text

Distinct1329
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T16:52:52.631250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length3.9515
Min length1

Characters and Unicode

Total characters39515
Distinct characters426
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)0.4%

Sample

1st row키즈오렌지
2nd row바닐라크림
3rd row중모2007
4th row핑크아이
5th row예스코러스
ValueCountFrequency (%)
롱그린맛 33
 
0.3%
드림리버 27
 
0.3%
주남조생 26
 
0.3%
썸머골드 25
 
0.2%
골드리치 25
 
0.2%
불세출 25
 
0.2%
슈퍼자미 25
 
0.2%
캔디볼 24
 
0.2%
평원 24
 
0.2%
호반 24
 
0.2%
Other values (1327) 9843
97.4%
2023-12-12T16:52:53.133279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 1494
 
3.8%
호 1395
 
3.5%
이 1193
 
3.0%
1 969
 
2.5%
드 855
 
2.2%
리 801
 
2.0%
0 779
 
2.0%
미 770
 
1.9%
크 583
 
1.5%
아 566
 
1.4%
Other values (416) 30110
76.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 35509
89.9%
Decimal Number 3567
 
9.0%
Uppercase Letter 218
 
0.6%
Dash Punctuation 120
 
0.3%
Space Separator 101
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 1494
 
4.2%
호 1395
 
3.9%
이 1193
 
3.4%
드 855
 
2.4%
리 801
 
2.3%
미 770
 
2.2%
크 583
 
1.6%
아 566
 
1.6%
레 487
 
1.4%
모 482
 
1.4%
Other values (395) 26883
75.7%
Decimal Number
ValueCountFrequency (%)
1 969
27.2%
0 779
21.8%
2 533
14.9%
3 381
 
10.7%
4 249
 
7.0%
5 205
 
5.7%
7 129
 
3.6%
8 109
 
3.1%
9 107
 
3.0%
6 106
 
3.0%
Uppercase Letter
ValueCountFrequency (%)
B 51
23.4%
L 39
17.9%
I 39
17.9%
A 23
10.6%
R 21
9.6%
N 12
 
5.5%
E 11
 
5.0%
P 11
 
5.0%
T 11
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 120
100.0%
Space Separator
ValueCountFrequency (%)
101
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 35509
89.9%
Common 3788
 
9.6%
Latin 218
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 1494
 
4.2%
호 1395
 
3.9%
이 1193
 
3.4%
드 855
 
2.4%
리 801
 
2.3%
미 770
 
2.2%
크 583
 
1.6%
아 566
 
1.6%
레 487
 
1.4%
모 482
 
1.4%
Other values (395) 26883
75.7%
Common
ValueCountFrequency (%)
1 969
25.6%
0 779
20.6%
2 533
14.1%
3 381
 
10.1%
4 249
 
6.6%
5 205
 
5.4%
7 129
 
3.4%
- 120
 
3.2%
8 109
 
2.9%
9 107
 
2.8%
Other values (2) 207
 
5.5%
Latin
ValueCountFrequency (%)
B 51
23.4%
L 39
17.9%
I 39
17.9%
A 23
10.6%
R 21
9.6%
N 12
 
5.5%
E 11
 
5.0%
P 11
 
5.0%
T 11
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 35509
89.9%
ASCII 4006
 
10.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 1494
 
4.2%
호 1395
 
3.9%
이 1193
 
3.4%
드 855
 
2.4%
리 801
 
2.3%
미 770
 
2.2%
크 583
 
1.6%
아 566
 
1.6%
레 487
 
1.4%
모 482
 
1.4%
Other values (395) 26883
75.7%
ASCII
ValueCountFrequency (%)
1 969
24.2%
0 779
19.4%
2 533
13.3%
3 381
 
9.5%
4 249
 
6.2%
5 205
 
5.1%
7 129
 
3.2%
- 120
 
3.0%
8 109
 
2.7%
9 107
 
2.7%
Other values (11) 425
10.6%

특성명칭
Text

Distinct770
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T16:52:53.514995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length77
Median length56
Mean length17.1206
Min length2

Characters and Unicode

Total characters171206
Distinct characters410
Distinct categories11 ?
Distinct scripts5 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique82 ?
Unique (%)0.8%

Sample

1st row설상화: 표면
2nd row설상화: 표면 2차색의 무늬
3rd row까락 : 까락끝의 안토시아닌 색의 농도
4th row설상화: 표면 색의 수
5th row홑꽃, 반겹꽃 품종(특성30): 꽃: 설상화의 수(개)
ValueCountFrequency (%)
3055
 
7.6%
설상화 1374
 
3.4%
잎 1124
 
2.8%
과실 799
 
2.0%
색 787
 
2.0%
꽃 751
 
1.9%
모양 662
 
1.6%
꽃잎 653
 
1.6%
안토시아닌 589
 
1.5%
제외 566
 
1.4%
Other values (940) 29854
74.2%
2023-12-12T16:52:54.069090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30277
 
17.7%
: 10836
 
6.3%
( 5333
 
3.1%
) 5333
 
3.1%
의 5045
 
2.9%
색 3199
 
1.9%
화 3181
 
1.9%
이 3130
 
1.8%
꽃 2990
 
1.7%
잎 2726
 
1.6%
Other values (400) 99156
57.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 100853
58.9%
Space Separator 30277
 
17.7%
Lowercase Letter 13417
 
7.8%
Other Punctuation 11870
 
6.9%
Open Punctuation 5333
 
3.1%
Close Punctuation 5333
 
3.1%
Decimal Number 2673
 
1.6%
Other Symbol 1154
 
0.7%
Uppercase Letter 231
 
0.1%
Dash Punctuation 41
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 5045
 
5.0%
색 3199
 
3.2%
화 3181
 
3.2%
이 3130
 
3.1%
꽃 2990
 
3.0%
잎 2726
 
2.7%
기 2438
 
2.4%
상 2148
 
2.1%
종 1917
 
1.9%
설 1663
 
1.6%
Other values (339) 72416
71.8%
Lowercase Letter
ValueCountFrequency (%)
e 1444
10.8%
i 1248
 
9.3%
o 1190
 
8.9%
n 1031
 
7.7%
t 996
 
7.4%
a 990
 
7.4%
l 896
 
6.7%
s 766
 
5.7%
r 756
 
5.6%
f 552
 
4.1%
Other values (14) 3548
26.4%
Uppercase Letter
ValueCountFrequency (%)
L 60
26.0%
P 49
21.2%
S 44
19.0%
D 17
 
7.4%
G 15
 
6.5%
T 11
 
4.8%
R 9
 
3.9%
E 8
 
3.5%
C 6
 
2.6%
A 4
 
1.7%
Other values (3) 8
 
3.5%
Decimal Number
ValueCountFrequency (%)
3 950
35.5%
2 626
23.4%
1 532
19.9%
0 425
15.9%
5 66
 
2.5%
6 53
 
2.0%
4 11
 
0.4%
7 5
 
0.2%
8 5
 
0.2%
Other Punctuation
ValueCountFrequency (%)
: 10836
91.3%
, 729
 
6.1%
/ 132
 
1.1%
% 86
 
0.7%
. 81
 
0.7%
; 6
 
0.1%
Other Symbol
ValueCountFrequency (%)
㎝ 690
59.8%
㎜ 460
39.9%
° 4
 
0.3%
Math Symbol
ValueCountFrequency (%)
+ 15
62.5%
⊙ 9
37.5%
Space Separator
ValueCountFrequency (%)
30277
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5333
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5333
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 100559
58.7%
Common 56705
33.1%
Latin 13645
 
8.0%
Han 294
 
0.2%
Greek 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 5045
 
5.0%
색 3199
 
3.2%
화 3181
 
3.2%
이 3130
 
3.1%
꽃 2990
 
3.0%
잎 2726
 
2.7%
기 2438
 
2.4%
상 2148
 
2.1%
종 1917
 
1.9%
설 1663
 
1.7%
Other values (304) 72122
71.7%
Latin
ValueCountFrequency (%)
e 1444
 
10.6%
i 1248
 
9.1%
o 1190
 
8.7%
n 1031
 
7.6%
t 996
 
7.3%
a 990
 
7.3%
l 896
 
6.6%
s 766
 
5.6%
r 756
 
5.5%
f 552
 
4.0%
Other values (26) 3776
27.7%
Han
ValueCountFrequency (%)
長 29
 
9.9%
葉 22
 
7.5%
幅 21
 
7.1%
芒 21
 
7.1%
米 15
 
5.1%
粒 15
 
5.1%
玄 15
 
5.1%
底 15
 
5.1%
刺 15
 
5.1%
性 10
 
3.4%
Other values (25) 116
39.5%
Common
ValueCountFrequency (%)
30277
53.4%
: 10836
 
19.1%
( 5333
 
9.4%
) 5333
 
9.4%
3 950
 
1.7%
, 729
 
1.3%
㎝ 690
 
1.2%
2 626
 
1.1%
1 532
 
0.9%
㎜ 460
 
0.8%
Other values (14) 939
 
1.7%
Greek
ValueCountFrequency (%)
Φ 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 100559
58.7%
ASCII 69187
40.4%
CJK Compat 1150
 
0.7%
CJK 294
 
0.2%
Math Operators 9
 
< 0.1%
None 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30277
43.8%
: 10836
 
15.7%
( 5333
 
7.7%
) 5333
 
7.7%
e 1444
 
2.1%
i 1248
 
1.8%
o 1190
 
1.7%
n 1031
 
1.5%
t 996
 
1.4%
a 990
 
1.4%
Other values (46) 10509
 
15.2%
Hangul
ValueCountFrequency (%)
의 5045
 
5.0%
색 3199
 
3.2%
화 3181
 
3.2%
이 3130
 
3.1%
꽃 2990
 
3.0%
잎 2726
 
2.7%
기 2438
 
2.4%
상 2148
 
2.1%
종 1917
 
1.9%
설 1663
 
1.7%
Other values (304) 72122
71.7%
CJK Compat
ValueCountFrequency (%)
㎝ 690
60.0%
㎜ 460
40.0%
CJK
ValueCountFrequency (%)
長 29
 
9.9%
葉 22
 
7.5%
幅 21
 
7.1%
芒 21
 
7.1%
米 15
 
5.1%
粒 15
 
5.1%
玄 15
 
5.1%
底 15
 
5.1%
刺 15
 
5.1%
性 10
 
3.4%
Other values (25) 116
39.5%
Math Operators
ValueCountFrequency (%)
⊙ 9
100.0%
None
ValueCountFrequency (%)
° 4
57.1%
Φ 3
42.9%

계측값
Text

MISSING 

Distinct1536
Distinct (%)41.3%
Missing6284
Missing (%)62.8%
Memory size156.2 KiB
2023-12-12T16:52:54.495078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length2.9480624
Min length1

Characters and Unicode

Total characters10955
Distinct characters65
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1132 ?
Unique (%)30.5%

Sample

1st row42.9
2nd row9.78
3rd row
4th row-
5th row9.5
ValueCountFrequency (%)
887
 
27.6%
10월 17
 
0.5%
08월 15
 
0.5%
09월 12
 
0.4%
2.1 11
 
0.3%
5 11
 
0.3%
nn155c 9
 
0.3%
4 9
 
0.3%
4.7 9
 
0.3%
5.4 7
 
0.2%
Other values (1517) 2232
69.3%
2023-12-12T16:52:55.043041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 1806
16.5%
1 1274
11.6%
- 990
9.0%
2 896
8.2%
4 734
 
6.7%
5 701
 
6.4%
3 686
 
6.3%
634
 
5.8%
7 601
 
5.5%
6 585
 
5.3%
Other values (55) 2048
18.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6998
63.9%
Other Punctuation 1835
 
16.8%
Dash Punctuation 990
 
9.0%
Space Separator 634
 
5.8%
Uppercase Letter 254
 
2.3%
Other Letter 190
 
1.7%
Lowercase Letter 19
 
0.2%
Open Punctuation 15
 
0.1%
Close Punctuation 15
 
0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
월 80
42.1%
일 78
41.1%
개 3
 
1.6%
로 2
 
1.1%
리 2
 
1.1%
두 2
 
1.1%
테 2
 
1.1%
중 2
 
1.1%
가 1
 
0.5%
세 1
 
0.5%
Other values (17) 17
 
8.9%
Lowercase Letter
ValueCountFrequency (%)
l 3
15.8%
m 3
15.8%
c 2
10.5%
w 2
10.5%
a 1
 
5.3%
k 1
 
5.3%
y 1
 
5.3%
e 1
 
5.3%
o 1
 
5.3%
i 1
 
5.3%
Other values (3) 3
15.8%
Decimal Number
ValueCountFrequency (%)
1 1274
18.2%
2 896
12.8%
4 734
10.5%
5 701
10.0%
3 686
9.8%
7 601
8.6%
6 585
8.4%
0 518
7.4%
8 513
7.3%
9 490
 
7.0%
Uppercase Letter
ValueCountFrequency (%)
A 74
29.1%
C 65
25.6%
B 50
19.7%
N 43
16.9%
D 22
 
8.7%
Other Punctuation
ValueCountFrequency (%)
. 1806
98.4%
* 18
 
1.0%
/ 10
 
0.5%
, 1
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 990
100.0%
Space Separator
ValueCountFrequency (%)
634
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Math Symbol
ValueCountFrequency (%)
+ 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10492
95.8%
Latin 273
 
2.5%
Hangul 190
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
월 80
42.1%
일 78
41.1%
개 3
 
1.6%
로 2
 
1.1%
리 2
 
1.1%
두 2
 
1.1%
테 2
 
1.1%
중 2
 
1.1%
가 1
 
0.5%
세 1
 
0.5%
Other values (17) 17
 
8.9%
Common
ValueCountFrequency (%)
. 1806
17.2%
1 1274
12.1%
- 990
9.4%
2 896
8.5%
4 734
7.0%
5 701
 
6.7%
3 686
 
6.5%
634
 
6.0%
7 601
 
5.7%
6 585
 
5.6%
Other values (10) 1585
15.1%
Latin
ValueCountFrequency (%)
A 74
27.1%
C 65
23.8%
B 50
18.3%
N 43
15.8%
D 22
 
8.1%
l 3
 
1.1%
m 3
 
1.1%
c 2
 
0.7%
w 2
 
0.7%
a 1
 
0.4%
Other values (8) 8
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10765
98.3%
Hangul 190
 
1.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1806
16.8%
1 1274
11.8%
- 990
9.2%
2 896
8.3%
4 734
 
6.8%
5 701
 
6.5%
3 686
 
6.4%
634
 
5.9%
7 601
 
5.6%
6 585
 
5.4%
Other values (28) 1858
17.3%
Hangul
ValueCountFrequency (%)
월 80
42.1%
일 78
41.1%
개 3
 
1.6%
로 2
 
1.1%
리 2
 
1.1%
두 2
 
1.1%
테 2
 
1.1%
중 2
 
1.1%
가 1
 
0.5%
세 1
 
0.5%
Other values (17) 17
 
8.9%

계급값
Text

MISSING 

Distinct96
Distinct (%)1.1%
Missing1416
Missing (%)14.2%
Memory size156.2 KiB
2023-12-12T16:52:55.245915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length1
Mean length1.0637232
Min length1

Characters and Unicode

Total characters9131
Distinct characters36
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

Unique72 ?
Unique (%)0.8%

Sample

1st row3
2nd row-
3rd row5
4th row1
5th row-
ValueCountFrequency (%)
1 1877
22.1%
1449
17.1%
3 1315
15.5%
5 1123
13.2%
2 953
11.2%
4 598
 
7.0%
7 330
 
3.9%
6 327
 
3.9%
9 325
 
3.8%
8 71
 
0.8%
Other values (82) 116
 
1.4%
2023-12-12T16:52:55.564547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1927
21.1%
- 1455
15.9%
3 1336
14.6%
5 1154
12.6%
2 970
10.6%
4 621
 
6.8%
369
 
4.0%
7 346
 
3.8%
6 343
 
3.8%
9 335
 
3.7%
Other values (26) 275
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7165
78.5%
Dash Punctuation 1455
 
15.9%
Space Separator 369
 
4.0%
Uppercase Letter 64
 
0.7%
Other Letter 47
 
0.5%
Open Punctuation 11
 
0.1%
Close Punctuation 11
 
0.1%
Connector Punctuation 5
 
0.1%
Math Symbol 2
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
월 15
31.9%
일 15
31.9%
투 3
 
6.4%
불 3
 
6.4%
명 3
 
6.4%
색 2
 
4.3%
흰 2
 
4.3%
초 1
 
2.1%
기 1
 
2.1%
혼 1
 
2.1%
Decimal Number
ValueCountFrequency (%)
1 1927
26.9%
3 1336
18.6%
5 1154
16.1%
2 970
13.5%
4 621
 
8.7%
7 346
 
4.8%
6 343
 
4.8%
9 335
 
4.7%
8 92
 
1.3%
0 41
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
A 20
31.2%
C 13
20.3%
N 11
17.2%
D 9
14.1%
B 9
14.1%
M 1
 
1.6%
E 1
 
1.6%
Other Punctuation
ValueCountFrequency (%)
# 1
50.0%
? 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 1455
100.0%
Space Separator
ValueCountFrequency (%)
369
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9020
98.8%
Latin 64
 
0.7%
Hangul 47
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1927
21.4%
- 1455
16.1%
3 1336
14.8%
5 1154
12.8%
2 970
10.8%
4 621
 
6.9%
369
 
4.1%
7 346
 
3.8%
6 343
 
3.8%
9 335
 
3.7%
Other values (8) 164
 
1.8%
Hangul
ValueCountFrequency (%)
월 15
31.9%
일 15
31.9%
투 3
 
6.4%
불 3
 
6.4%
명 3
 
6.4%
색 2
 
4.3%
흰 2
 
4.3%
초 1
 
2.1%
기 1
 
2.1%
혼 1
 
2.1%
Latin
ValueCountFrequency (%)
A 20
31.2%
C 13
20.3%
N 11
17.2%
D 9
14.1%
B 9
14.1%
M 1
 
1.6%
E 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9084
99.5%
Hangul 47
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1927
21.2%
- 1455
16.0%
3 1336
14.7%
5 1154
12.7%
2 970
10.7%
4 621
 
6.8%
369
 
4.1%
7 346
 
3.8%
6 343
 
3.8%
9 335
 
3.7%
Other values (15) 228
 
2.5%
Hangul
ValueCountFrequency (%)
월 15
31.9%
일 15
31.9%
투 3
 
6.4%
불 3
 
6.4%
명 3
 
6.4%
색 2
 
4.3%
흰 2
 
4.3%
초 1
 
2.1%
기 1
 
2.1%
혼 1
 
2.1%

Interactions

2023-12-12T16:52:49.177967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:52:55.645951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
출원국등록번호작물명계급값
출원국1.0000.5280.6960.170
등록번호0.5281.0000.3440.235
작물명0.6960.3441.0000.485
계급값0.1700.2350.4851.000
2023-12-12T16:52:55.729218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
작물명출원국
작물명1.0000.386
출원국0.3861.000
2023-12-12T16:52:55.807306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록번호출원국작물명
등록번호1.0000.2260.182
출원국0.2261.0000.386
작물명0.1820.3861.000

Missing values

2023-12-12T16:52:49.324917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:52:49.471995image/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.
2023-12-12T16:52:49.600722image/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

출원일출원인출원국품종보호권 등록일등록번호작물명품종명특성명칭계측값계급값
656412013-02-21경상남도경상남도2014-04-034946국화키즈오렌지설상화: 표면<NA>3
325032009-02-18농촌진흥청대한민국2010-08-033240국화바닐라크림설상화: 표면 2차색의 무늬<NA>-
677522012-05-11농촌진흥청대한민국2015-08-065678보리중모2007까락 : 까락끝의 안토시아닌 색의 농도<NA>5
216222007-12-24경상남도경상남도2009-06-102708국화핑크아이설상화: 표면 색의 수<NA>1
488132011-02-21충청남도대한민국2012-10-184155국화예스코러스홑꽃, 반겹꽃 품종(특성30): 꽃: 설상화의 수(개)42.9<NA>
803912015-02-04전라북도대한민국2016-04-146037장미슈크림꽃잎표면이 2색 이상인 품종: 꽃잎: 2차색(기부반점 제외)<NA>-
392742010-03-05농촌진흥청대한민국2011-08-023634국화오렌지마블턱잎: 크기<NA>4
10992003-04-07충청남도대한민국2004-04-16847국화도화볼잎:하부 열편의 길이9.78<NA>
598872007-06-14농업회사법인 (주)농우바이오대한민국2010-04-263018고추롱그린맛과실: 속살의 두께<NA>7
12602003-01-10농촌진흥청대한민국2004-07-191029국화도봉탁엽 : 크기<NA>3
출원일출원인출원국품종보호권 등록일등록번호작물명품종명특성명칭계측값계급값
731322014-02-21충청남도대한민국2015-04-285469국화마당볼잎: 최하단 열편의 깊이<NA>3
23102002-03-06농촌진흥청대한민국2006-04-181526고추생력214호식물체:단축절간(shortened internode in upper part)<NA>1
26112001-10-04경상북도경상북도2004-03-16790고추영고2호과실:성숙기의 색<NA>3
620322013-03-26농촌진흥청대한민국2014-07-315114벼청운이삭 : 까락의 분포<NA>-
110092005-11-16충청북도대한민국2007-05-251944장미바래미꽃 : 아랫부분의 옆에서 본 모양(완전히 개화되었을 때)<NA>2
440892011-02-28전라남도전라남도2012-03-093867장미하트온신초: 안토시아닌 색의 강도-4
901722015-01-02경상북도경상북도2017-04-106612고추고은빛성숙기(50%의 식물체에서 과실의 착색변화)<NA>4
597412011-10-13사카타코리아(주)서울특별시2014-03-244911고추신초롱과실: 꼭지의 함몰(stalk cavity)<NA>1
211042007-03-29농촌진흥청대한민국2010-06-113082사과홍안잎: 자세<NA>4
798852014-11-10로젠탄타우 케이지독일2016-05-106084장미탄09112잎: 크기: 길이(㎝)11.1<NA>

Duplicate rows

Most frequently occurring

출원일출원인출원국품종보호권 등록일등록번호작물명품종명특성명칭계측값계급값# duplicates
282007-06-14농업회사법인 (주)농우바이오대한민국2010-04-263018고추롱그린맛잎: 가장자리의 물결모양<NA>53
532008-12-03오스템바이오 주식회사 농업회사법인대한민국2011-04-253510고추당조마일드단축절간만 있는 품종:식물체:제1번화와 단축절간사이의 절간수<NA>-3
02001-12-24한국원자력연구원대한민국2004-08-171078벼원추현미폭(玄米幅)(Decorticated grain : width)(㎝)2.9652
12001-12-24한국원자력연구원대한민국2004-08-171080벼녹원찰분얼개도(分蘖開度)(Culm : angle)(°)<NA>32
22002-02-28농촌진흥청대한민국2005-06-201315벼동진1호줄기 : 마디의 안토시아닌 색소의 강도(Stem : intensity of anthocyanin coloration of nodes)<NA>-2
32002-06-04농촌진흥청대한민국2005-06-201311벼안성BIL-1외영 안토시아닌 색소분포(Lemman : anthocyanin coloration of keel)<NA>12
42002-06-04농촌진흥청대한민국2005-06-201311벼안성BIL-1줄기안토시아닌 색소분포(Stem : intensity of anthocyanin of internodes)<NA>12
52003-03-06재단법인 서울대학교 산학협력재단대한민국2005-06-201307벼서농10호부선 안토시아닌 색소 농도(Lemma : anthocyanin coloration of apex)<NA>12
62003-12-01박준원경상북도2007-01-251706사과소백2호과실 : 꽃받침자리 구멍<NA>32
72004-03-08재단법인 서울대학교 산학협력재단대한민국2006-07-121626벼서농9호백미심백정도(Polished grain : size of white core)<NA>불투명2