Overview

Dataset statistics

Number of variables9
Number of observations4121
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory289.9 KiB
Average record size in memory72.0 B

Variable types

Text5
Categorical4

Dataset

Description한국수목원정원관리원_국립세종수목원 수목상세정보 과명-과국명-속명-국명-학명 (데이터취득일자)으로 구성
URLhttps://www.data.go.kr/data/15110444/fileData.do

Alerts

희귀 is highly overall correlated with 특산High correlation
초본_목본_기타 is highly overall correlated with 특산High correlation
특산 is highly overall correlated with 자생재배 and 2 other fieldsHigh correlation
자생재배 is highly overall correlated with 특산High correlation
특산 is highly imbalanced (84.0%)Imbalance
희귀 is highly imbalanced (86.3%)Imbalance
국명 has unique valuesUnique
학명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:40:04.207589
Analysis finished2023-12-12 08:40:05.540983
Duration1.33 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

국명
Text

UNIQUE 

Distinct4121
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size32.3 KiB
2023-12-12T17:40:05.863904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length19
Mean length9.3169134
Min length1

Characters and Unicode

Total characters38395
Distinct characters833
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4121 ?
Unique (%)100.0%

Sample

1st row꽃댕강나무
2nd row꽃댕강나무 '프랜시스 메이슨'
3rd row댕강나무
4th row섬댕강나무
5th row미선나무
ValueCountFrequency (%)
베고니아 292
 
3.6%
무궁화 194
 
2.4%
비비추 159
 
2.0%
원추리 106
 
1.3%
목련 90
 
1.1%
꽃창포 64
 
0.8%
덴드로비움 63
 
0.8%
작약 55
 
0.7%
블루 51
 
0.6%
레드 50
 
0.6%
Other values (4630) 7015
86.2%
2023-12-12T17:40:06.351336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
' 4081
 
10.6%
4018
 
10.5%
아 1173
 
3.1%
리 1125
 
2.9%
스 1123
 
2.9%
나 944
 
2.5%
무 921
 
2.4%
이 726
 
1.9%
비 649
 
1.7%
라 579
 
1.5%
Other values (823) 23056
60.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30230
78.7%
Other Punctuation 4081
 
10.6%
Space Separator 4018
 
10.5%
Decimal Number 45
 
0.1%
Uppercase Letter 10
 
< 0.1%
Math Symbol 7
 
< 0.1%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 1173
 
3.9%
리 1125
 
3.7%
스 1123
 
3.7%
나 944
 
3.1%
무 921
 
3.0%
이 726
 
2.4%
비 649
 
2.1%
라 579
 
1.9%
니 520
 
1.7%
레 475
 
1.6%
Other values (805) 21995
72.8%
Decimal Number
ValueCountFrequency (%)
2 9
20.0%
1 7
15.6%
7 6
13.3%
0 5
11.1%
4 5
11.1%
6 4
8.9%
9 3
 
6.7%
3 3
 
6.7%
8 2
 
4.4%
5 1
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
U 7
70.0%
M 1
 
10.0%
W 1
 
10.0%
B 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
' 4081
100.0%
Space Separator
ValueCountFrequency (%)
4018
100.0%
Math Symbol
ValueCountFrequency (%)
× 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30230
78.7%
Common 8155
 
21.2%
Latin 10
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 1173
 
3.9%
리 1125
 
3.7%
스 1123
 
3.7%
나 944
 
3.1%
무 921
 
3.0%
이 726
 
2.4%
비 649
 
2.1%
라 579
 
1.9%
니 520
 
1.7%
레 475
 
1.6%
Other values (805) 21995
72.8%
Common
ValueCountFrequency (%)
' 4081
50.0%
4018
49.3%
2 9
 
0.1%
× 7
 
0.1%
1 7
 
0.1%
7 6
 
0.1%
0 5
 
0.1%
4 5
 
0.1%
- 4
 
< 0.1%
6 4
 
< 0.1%
Other values (4) 9
 
0.1%
Latin
ValueCountFrequency (%)
U 7
70.0%
M 1
 
10.0%
W 1
 
10.0%
B 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30230
78.7%
ASCII 8158
 
21.2%
None 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
' 4081
50.0%
4018
49.3%
2 9
 
0.1%
1 7
 
0.1%
U 7
 
0.1%
7 6
 
0.1%
0 5
 
0.1%
4 5
 
0.1%
- 4
 
< 0.1%
6 4
 
< 0.1%
Other values (7) 12
 
0.1%
Hangul
ValueCountFrequency (%)
아 1173
 
3.9%
리 1125
 
3.7%
스 1123
 
3.7%
나 944
 
3.1%
무 921
 
3.0%
이 726
 
2.4%
비 649
 
2.1%
라 579
 
1.9%
니 520
 
1.7%
레 475
 
1.6%
Other values (805) 21995
72.8%
None
ValueCountFrequency (%)
× 7
100.0%

학명
Text

UNIQUE 

Distinct4121
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size32.3 KiB
2023-12-12T17:40:06.719663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length78
Median length60
Mean length28.984227
Min length12

Characters and Unicode

Total characters119444
Distinct characters74
Distinct categories10 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4121 ?
Unique (%)100.0%

Sample

1st rowAbelia × grandiflora (Rovelli ex Andr?) Rehder
2nd rowAbelia × grandiflora 'Francis Mason'
3rd rowAbelia mosanensis T.H.Chung ex Nakai
4th rowAbelia biflora Turcz.
5th rowAbeliophyllum distichum Nakai
ValueCountFrequency (%)
begonia 303
 
2.0%
l 301
 
2.0%
231
 
1.5%
hibiscus 204
 
1.4%
iris 195
 
1.3%
syriacus 193
 
1.3%
hosta 181
 
1.2%
ex 165
 
1.1%
magnolia 133
 
0.9%
var 130
 
0.9%
Other values (5545) 12883
86.4%
2023-12-12T17:40:07.302335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 11763
 
9.8%
10798
 
9.0%
i 9412
 
7.9%
e 7899
 
6.6%
s 6125
 
5.1%
r 6109
 
5.1%
n 6018
 
5.0%
o 5699
 
4.8%
l 5243
 
4.4%
u 4946
 
4.1%
Other values (64) 45432
38.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 88312
73.9%
Uppercase Letter 11463
 
9.6%
Space Separator 10798
 
9.0%
Other Punctuation 7287
 
6.1%
Close Punctuation 675
 
0.6%
Open Punctuation 675
 
0.6%
Math Symbol 103
 
0.1%
Dash Punctuation 86
 
0.1%
Decimal Number 44
 
< 0.1%
Control 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 11763
13.3%
i 9412
10.7%
e 7899
 
8.9%
s 6125
 
6.9%
r 6109
 
6.9%
n 6018
 
6.8%
o 5699
 
6.5%
l 5243
 
5.9%
u 4946
 
5.6%
t 3890
 
4.4%
Other values (16) 21208
24.0%
Uppercase Letter
ValueCountFrequency (%)
H 1059
 
9.2%
B 1022
 
8.9%
C 953
 
8.3%
S 855
 
7.5%
L 845
 
7.4%
M 815
 
7.1%
P 814
 
7.1%
A 706
 
6.2%
D 506
 
4.4%
R 471
 
4.1%
Other values (16) 3417
29.8%
Decimal Number
ValueCountFrequency (%)
1 8
18.2%
2 8
18.2%
7 6
13.6%
0 5
11.4%
4 5
11.4%
6 4
9.1%
9 3
 
6.8%
8 2
 
4.5%
3 2
 
4.5%
5 1
 
2.3%
Other Punctuation
ValueCountFrequency (%)
' 4244
58.2%
. 2749
37.7%
& 229
 
3.1%
? 58
 
0.8%
, 6
 
0.1%
/ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
10798
100.0%
Close Punctuation
ValueCountFrequency (%)
) 675
100.0%
Open Punctuation
ValueCountFrequency (%)
( 675
100.0%
Math Symbol
ValueCountFrequency (%)
× 103
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 86
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 99775
83.5%
Common 19669
 
16.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 11763
 
11.8%
i 9412
 
9.4%
e 7899
 
7.9%
s 6125
 
6.1%
r 6109
 
6.1%
n 6018
 
6.0%
o 5699
 
5.7%
l 5243
 
5.3%
u 4946
 
5.0%
t 3890
 
3.9%
Other values (42) 32671
32.7%
Common
ValueCountFrequency (%)
10798
54.9%
' 4244
 
21.6%
. 2749
 
14.0%
) 675
 
3.4%
( 675
 
3.4%
& 229
 
1.2%
× 103
 
0.5%
- 86
 
0.4%
? 58
 
0.3%
1 8
 
< 0.1%
Other values (12) 44
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 119341
99.9%
None 103
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 11763
 
9.9%
10798
 
9.0%
i 9412
 
7.9%
e 7899
 
6.6%
s 6125
 
5.1%
r 6109
 
5.1%
n 6018
 
5.0%
o 5699
 
4.8%
l 5243
 
4.4%
u 4946
 
4.1%
Other values (63) 45329
38.0%
None
ValueCountFrequency (%)
× 103
100.0%

과명
Text

Distinct203
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size32.3 KiB
2023-12-12T17:40:07.664011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length10.356224
Min length7

Characters and Unicode

Total characters42678
Distinct characters46
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

Unique60 ?
Unique (%)1.5%

Sample

1st rowCaprifoliaceae
2nd rowCaprifoliaceae
3rd rowCaprifoliaceae
4th rowCaprifoliaceae
5th rowOleaceae
ValueCountFrequency (%)
liliaceae 408
 
9.9%
begoniaceae 303
 
7.4%
orchidaceae 243
 
5.9%
malvaceae 218
 
5.3%
iridaceae 201
 
4.9%
rosaceae 167
 
4.1%
magnoliaceae 134
 
3.3%
asteraceae 118
 
2.9%
araceae 109
 
2.6%
cupressaceae 104
 
2.5%
Other values (193) 2116
51.3%
2023-12-12T17:40:08.179321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 9884
23.2%
e 9643
22.6%
c 4819
11.3%
i 2722
 
6.4%
r 1930
 
4.5%
l 1505
 
3.5%
o 1376
 
3.2%
n 1245
 
2.9%
s 707
 
1.7%
g 706
 
1.7%
Other values (36) 8141
19.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 38557
90.3%
Uppercase Letter 4121
 
9.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 9884
25.6%
e 9643
25.0%
c 4819
12.5%
i 2722
 
7.1%
r 1930
 
5.0%
l 1505
 
3.9%
o 1376
 
3.6%
n 1245
 
3.2%
s 707
 
1.8%
g 706
 
1.8%
Other values (14) 4020
10.4%
Uppercase Letter
ValueCountFrequency (%)
L 534
13.0%
A 525
12.7%
M 467
11.3%
B 428
10.4%
C 379
9.2%
P 327
7.9%
O 298
7.2%
R 281
6.8%
I 202
 
4.9%
S 176
 
4.3%
Other values (12) 504
12.2%

Most occurring scripts

ValueCountFrequency (%)
Latin 42678
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 9884
23.2%
e 9643
22.6%
c 4819
11.3%
i 2722
 
6.4%
r 1930
 
4.5%
l 1505
 
3.5%
o 1376
 
3.2%
n 1245
 
2.9%
s 707
 
1.7%
g 706
 
1.7%
Other values (36) 8141
19.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 42678
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 9884
23.2%
e 9643
22.6%
c 4819
11.3%
i 2722
 
6.4%
r 1930
 
4.5%
l 1505
 
3.5%
o 1376
 
3.2%
n 1245
 
2.9%
s 707
 
1.7%
g 706
 
1.7%
Other values (36) 8141
19.1%

과국명
Text

Distinct203
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size32.3 KiB
2023-12-12T17:40:08.565783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.7476341
Min length2

Characters and Unicode

Total characters15444
Distinct characters249
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)1.5%

Sample

1st row인동과
2nd row인동과
3rd row인동과
4th row인동과
5th row물푸레나무과
ValueCountFrequency (%)
백합과 408
 
9.9%
베고니아과 303
 
7.4%
난초과 243
 
5.9%
아욱과 218
 
5.3%
붓꽃과 201
 
4.9%
장미과 167
 
4.1%
목련과 134
 
3.3%
국화과 118
 
2.9%
천남성과 109
 
2.6%
측백나무과 104
 
2.5%
Other values (193) 2116
51.3%
2023-12-12T17:40:09.076157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 4121
26.7%
나 665
 
4.3%
아 651
 
4.2%
무 554
 
3.6%
백 515
 
3.3%
합 408
 
2.6%
초 406
 
2.6%
고 377
 
2.4%
니 340
 
2.2%
꽃 313
 
2.0%
Other values (239) 7094
45.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15444
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 4121
26.7%
나 665
 
4.3%
아 651
 
4.2%
무 554
 
3.6%
백 515
 
3.3%
합 408
 
2.6%
초 406
 
2.6%
고 377
 
2.4%
니 340
 
2.2%
꽃 313
 
2.0%
Other values (239) 7094
45.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15444
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 4121
26.7%
나 665
 
4.3%
아 651
 
4.2%
무 554
 
3.6%
백 515
 
3.3%
합 408
 
2.6%
초 406
 
2.6%
고 377
 
2.4%
니 340
 
2.2%
꽃 313
 
2.0%
Other values (239) 7094
45.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15444
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 4121
26.7%
나 665
 
4.3%
아 651
 
4.2%
무 554
 
3.6%
백 515
 
3.3%
합 408
 
2.6%
초 406
 
2.6%
고 377
 
2.4%
니 340
 
2.2%
꽃 313
 
2.0%
Other values (239) 7094
45.9%

속명
Text

Distinct903
Distinct (%)21.9%
Missing0
Missing (%)0.0%
Memory size32.3 KiB
2023-12-12T17:40:09.421558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length7.8721184
Min length4

Characters and Unicode

Total characters32441
Distinct characters52
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

Unique502 ?
Unique (%)12.2%

Sample

1st rowAbelia
2nd rowAbelia
3rd rowAbelia
4th rowAbelia
5th rowAbeliophyllum
ValueCountFrequency (%)
begonia 303
 
7.4%
hibiscus 204
 
5.0%
iris 195
 
4.7%
hosta 181
 
4.4%
magnolia 133
 
3.2%
hemerocallis 115
 
2.8%
paeonia 82
 
2.0%
hydrangea 82
 
2.0%
dendrobium 65
 
1.6%
prunus 62
 
1.5%
Other values (893) 2699
65.5%
2023-12-12T17:40:09.848729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 3867
 
11.9%
i 3318
 
10.2%
e 2511
 
7.7%
s 2354
 
7.3%
o 2078
 
6.4%
r 1879
 
5.8%
n 1829
 
5.6%
u 1702
 
5.2%
l 1618
 
5.0%
c 1195
 
3.7%
Other values (42) 10090
31.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 28320
87.3%
Uppercase Letter 4121
 
12.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 3867
13.7%
i 3318
11.7%
e 2511
8.9%
s 2354
 
8.3%
o 2078
 
7.3%
r 1879
 
6.6%
n 1829
 
6.5%
u 1702
 
6.0%
l 1618
 
5.7%
c 1195
 
4.2%
Other values (16) 5969
21.1%
Uppercase Letter
ValueCountFrequency (%)
H 648
15.7%
C 472
11.5%
P 467
11.3%
B 436
10.6%
A 397
9.6%
M 259
 
6.3%
I 218
 
5.3%
S 189
 
4.6%
D 187
 
4.5%
L 142
 
3.4%
Other values (16) 706
17.1%

Most occurring scripts

ValueCountFrequency (%)
Latin 32441
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 3867
 
11.9%
i 3318
 
10.2%
e 2511
 
7.7%
s 2354
 
7.3%
o 2078
 
6.4%
r 1879
 
5.8%
n 1829
 
5.6%
u 1702
 
5.2%
l 1618
 
5.0%
c 1195
 
3.7%
Other values (42) 10090
31.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32441
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 3867
 
11.9%
i 3318
 
10.2%
e 2511
 
7.7%
s 2354
 
7.3%
o 2078
 
6.4%
r 1879
 
5.8%
n 1829
 
5.6%
u 1702
 
5.2%
l 1618
 
5.0%
c 1195
 
3.7%
Other values (42) 10090
31.1%

자생재배
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.3 KiB
재배식물
3359 
자생식물
762 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row재배식물
2nd row재배식물
3rd row자생식물
4th row자생식물
5th row자생식물

Common Values

ValueCountFrequency (%)
재배식물 3359
81.5%
자생식물 762
 
18.5%

Length

2023-12-12T17:40:10.003217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:40:10.146353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재배식물 3359
81.5%
자생식물 762
 
18.5%

특산
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.3 KiB
<NA>
4025 
특산식물
 
96

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4025
97.7%
특산식물 96
 
2.3%

Length

2023-12-12T17:40:10.257739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:40:10.358242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4025
97.7%
특산식물 96
 
2.3%

희귀
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size32.3 KiB
<NA>
3924 
취약종(VU)
 
54
위기종(EN)
 
45
멸종위기종(CR)
 
42
약관심종(LC)
 
39
Other values (2)
 
17

Length

Max length9
Median length4
Mean length4.1812667
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row위기종(EN)
4th row멸종위기종(CR)
5th row멸종위기종(CR)

Common Values

ValueCountFrequency (%)
<NA> 3924
95.2%
취약종(VU) 54
 
1.3%
위기종(EN) 45
 
1.1%
멸종위기종(CR) 42
 
1.0%
약관심종(LC) 39
 
0.9%
자료부족종(DD) 16
 
0.4%
야생멸종(EW) 1
 
< 0.1%

Length

2023-12-12T17:40:10.473501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:40:10.608315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3924
95.2%
취약종(vu 54
 
1.3%
위기종(en 45
 
1.1%
멸종위기종(cr 42
 
1.0%
약관심종(lc 39
 
0.9%
자료부족종(dd 16
 
0.4%
야생멸종(ew 1
 
< 0.1%

초본_목본_기타
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.3 KiB
초본
2412 
목본
1709 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
초본 2412
58.5%
목본 1709
41.5%

Length

2023-12-12T17:40:10.759423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:40:10.880369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
초본 2412
58.5%
목본 1709
41.5%

Correlations

2023-12-12T17:40:10.957473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
자생재배희귀초본_목본_기타
자생재배1.0000.0000.040
희귀0.0001.0000.000
초본_목본_기타0.0400.0001.000
2023-12-12T17:40:11.044588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
희귀초본_목본_기타특산자생재배
희귀1.0000.0001.0000.000
초본_목본_기타0.0001.0001.0000.025
특산1.0001.0001.0001.000
자생재배0.0000.0251.0001.000
2023-12-12T17:40:11.133182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
자생재배특산희귀초본_목본_기타
자생재배1.0001.0000.0000.025
특산1.0001.0001.0001.000
희귀0.0001.0001.0000.000
초본_목본_기타0.0251.0000.0001.000

Missing values

2023-12-12T17:40:05.300773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:40:05.458211image/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

국명학명과명과국명속명자생재배특산희귀초본_목본_기타
0꽃댕강나무Abelia × grandiflora (Rovelli ex Andr?) RehderCaprifoliaceae인동과Abelia재배식물<NA><NA>목본
1꽃댕강나무 '프랜시스 메이슨'Abelia × grandiflora 'Francis Mason'Caprifoliaceae인동과Abelia재배식물<NA><NA>목본
2댕강나무Abelia mosanensis T.H.Chung ex NakaiCaprifoliaceae인동과Abelia자생식물<NA>위기종(EN)목본
3섬댕강나무Abelia biflora Turcz.Caprifoliaceae인동과Abelia자생식물<NA>멸종위기종(CR)목본
4미선나무Abeliophyllum distichum NakaiOleaceae물푸레나무과Abeliophyllum자생식물특산식물멸종위기종(CR)목본
5분홍미선나무Abeliophyllum distichum f. lilacinum NakaiOleaceae물푸레나무과Abeliophyllum자생식물<NA><NA>목본
6상아미선나무Abeliophyllum distichum f. eburneum T.B.LeeOleaceae물푸레나무과Abeliophyllum재배식물<NA><NA>목본
7구상나무Abies koreana E.H.WilsonPinaceae소나무과Abies자생식물특산식물약관심종(LC)목본
8분비나무Abies nephrolepis (Trautv. ex Maxim.) Maxim.Pinaceae소나무과Abies자생식물<NA><NA>목본
9전나무Abies holophylla Maxim.Pinaceae소나무과Abies자생식물<NA><NA>목본
국명학명과명과국명속명자생재배특산희귀초본_목본_기타
4111무늬느티나무Zelkova serrata 'Variegata'Ulmaceae느릅나무과Zelkova재배식물<NA><NA>목본
4112처진느티나무Zelkova serrata 'Pendula'Ulmaceae느릅나무과Zelkova재배식물<NA><NA>목본
4113황금느티나무Zelkova serrata 'Aurea'Ulmaceae느릅나무과Zelkova재배식물<NA><NA>목본
4114벌집생강Zingiber spectabile Griff.Zingiberaceae생강과Zingiber재배식물<NA><NA>초본
4115백일홍Zinnia elegans Jacq.Asteraceae국화과Zinnia재배식물<NA><NA>목본
4116백일홍 '드림랜드'Zinnia elegans Dreamland MixedAsteraceae국화과Zinnia재배식물<NA><NA>초본
4117백일홍 '자하라'Zinnia 'Zahara'Asteraceae국화과Zinnia재배식물<NA><NA>초본
4118백일홍 '프로퓨전'Zinnia Profusion SeriesAsteraceae국화과Zinnia재배식물<NA><NA>초본
4119줄Zizania latifolia (Griseb.) Turcz. ex StapfPoaceae벼과Zizania자생식물<NA><NA>초본
4120대추나무Zizyphus jujuba var. inermis (Bunge) RehderRhamnaceae갈매나무과Zizyphus재배식물<NA><NA>목본