Overview

Dataset statistics

Number of variables18
Number of observations6899
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory977.0 KiB
Average record size in memory145.0 B

Variable types

Categorical8
Text9
DateTime1

Dataset

Description제주 민속자연사박물관에서 소장하고 있는 자연사자료(광식물)의 분류, 속명, 종명, 수량, 수집방법, 현위치 등 정보 제공
Author제주특별자치도
URLhttps://www.data.go.kr/data/15045472/fileData.do

Alerts

기관코드 has constant value ""Constant
수량 has constant value ""Constant
데이터기준일자 has constant value ""Constant
대분류 is highly overall correlated with 중분류 and 2 other fieldsHigh correlation
사진분류 is highly overall correlated with 대분류 and 3 other fieldsHigh correlation
상태 is highly overall correlated with 대분류 and 2 other fieldsHigh correlation
중분류 is highly overall correlated with 대분류 and 3 other fieldsHigh correlation
현 상태 is highly overall correlated with 중분류 and 1 other fieldsHigh correlation
상태 is highly imbalanced (61.3%)Imbalance
현 상태 is highly imbalanced (64.3%)Imbalance
자료수집번호(통합) has unique valuesUnique
자료세부분류번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:04:32.731193
Analysis finished2023-12-12 17:04:35.084329
Duration2.35 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size54.0 KiB
JFNM
6899 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
JFNM 6899
100.0%

Length

2023-12-13T02:04:35.177883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:04:35.276716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
jfnm 6899
100.0%

대분류
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size54.0 KiB
식물
5377 
지질
1522 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식물 5377
77.9%
지질 1522
 
22.1%

Length

2023-12-13T02:04:35.406619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:04:35.534349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식물 5377
77.9%
지질 1522
 
22.1%

중분류
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size54.0 KiB
관속식물
4271 
해조류
1106 
암석
930 
화석
558 
토양
 
34

Length

Max length4
Median length4
Mean length3.3984635
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관속식물 4271
61.9%
해조류 1106
 
16.0%
암석 930
 
13.5%
화석 558
 
8.1%
토양 34
 
0.5%

Length

2023-12-13T02:04:35.688527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:04:35.835676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관속식물 4271
61.9%
해조류 1106
 
16.0%
암석 930
 
13.5%
화석 558
 
8.1%
토양 34
 
0.5%
Distinct103
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size54.0 KiB
2023-12-13T02:04:36.096994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length3.5750109
Min length2

Characters and Unicode

Total characters24664
Distinct characters152
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)0.1%

Sample

1st row해당없음
2nd row해당없음
3rd row해당없음
4th row해당없음
5th row해당없음
ValueCountFrequency (%)
해당없음 1660
24.1%
화성암 893
 
12.9%
무척추 538
 
7.8%
국화목 358
 
5.2%
고사리목 312
 
4.5%
장미목 241
 
3.5%
벼목 189
 
2.7%
콩목 139
 
2.0%
백합목 136
 
2.0%
미나리아재비목 132
 
1.9%
Other values (88) 2301
33.4%
2023-12-13T02:04:36.557863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3734
 
15.1%
1661
 
6.7%
1660
 
6.7%
1660
 
6.7%
1660
 
6.7%
1276
 
5.2%
1030
 
4.2%
930
 
3.8%
907
 
3.7%
614
 
2.5%
Other values (142) 9532
38.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24623
99.8%
Space Separator 41
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3734
 
15.2%
1661
 
6.7%
1660
 
6.7%
1660
 
6.7%
1660
 
6.7%
1276
 
5.2%
1030
 
4.2%
930
 
3.8%
907
 
3.7%
614
 
2.5%
Other values (141) 9491
38.5%
Space Separator
ValueCountFrequency (%)
41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24623
99.8%
Common 41
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3734
 
15.2%
1661
 
6.7%
1660
 
6.7%
1660
 
6.7%
1660
 
6.7%
1276
 
5.2%
1030
 
4.2%
930
 
3.8%
907
 
3.7%
614
 
2.5%
Other values (141) 9491
38.5%
Common
ValueCountFrequency (%)
41
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24623
99.8%
ASCII 41
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
3734
 
15.2%
1661
 
6.7%
1660
 
6.7%
1660
 
6.7%
1660
 
6.7%
1276
 
5.2%
1030
 
4.2%
930
 
3.8%
907
 
3.7%
614
 
2.5%
Other values (141) 9491
38.5%
ASCII
ValueCountFrequency (%)
41
100.0%
Distinct203
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size54.0 KiB
2023-12-13T02:04:36.822878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length3.7121322
Min length2

Characters and Unicode

Total characters25610
Distinct characters225
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)0.5%

Sample

1st row해당없음
2nd row해당없음
3rd row해당없음
4th row해당없음
5th row해당없음
ValueCountFrequency (%)
해당없음 1664
24.1%
현무암 878
 
12.7%
국화과 431
 
6.2%
콩과 191
 
2.8%
장미과 182
 
2.6%
화본과 175
 
2.5%
미나리아재비과 151
 
2.2%
꿀풀과 121
 
1.8%
백합과 111
 
1.6%
마디풀과 94
 
1.4%
Other values (191) 2901
42.0%
2023-12-13T02:04:37.228384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4258
16.6%
1668
 
6.5%
1665
 
6.5%
1664
 
6.5%
1664
 
6.5%
1450
 
5.7%
962
 
3.8%
930
 
3.6%
818
 
3.2%
724
 
2.8%
Other values (215) 9807
38.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25605
> 99.9%
Space Separator 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4258
16.6%
1668
 
6.5%
1665
 
6.5%
1664
 
6.5%
1664
 
6.5%
1450
 
5.7%
962
 
3.8%
930
 
3.6%
818
 
3.2%
724
 
2.8%
Other values (214) 9802
38.3%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25605
> 99.9%
Common 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4258
16.6%
1668
 
6.5%
1665
 
6.5%
1664
 
6.5%
1664
 
6.5%
1450
 
5.7%
962
 
3.8%
930
 
3.6%
818
 
3.2%
724
 
2.8%
Other values (214) 9802
38.3%
Common
ValueCountFrequency (%)
5
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25605
> 99.9%
ASCII 5
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
4258
16.6%
1668
 
6.5%
1665
 
6.5%
1664
 
6.5%
1664
 
6.5%
1450
 
5.7%
962
 
3.8%
930
 
3.6%
818
 
3.2%
724
 
2.8%
Other values (214) 9802
38.3%
ASCII
ValueCountFrequency (%)
5
100.0%

속명
Text

Distinct643
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Memory size54.0 KiB
2023-12-13T02:04:37.566823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length16
Mean length6.360487
Min length3

Characters and Unicode

Total characters43881
Distinct characters57
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique112 ?
Unique (%)1.6%

Sample

1st row해당없음
2nd row해당없음
3rd row해당없음
4th row해당없음
5th row해당없음
ValueCountFrequency (%)
해당없음 3172
46.0%
dryopteris 52
 
0.8%
polygonum 48
 
0.7%
asplenium 46
 
0.7%
quercus 44
 
0.6%
euphorbia 41
 
0.6%
viburnum 36
 
0.5%
carex 33
 
0.5%
rubus 32
 
0.5%
aster 31
 
0.4%
Other values (601) 3364
48.8%
2023-12-13T02:04:38.119280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 3294
 
7.5%
3172
 
7.2%
3172
 
7.2%
3172
 
7.2%
3172
 
7.2%
i 2834
 
6.5%
e 2214
 
5.0%
u 2140
 
4.9%
r 2101
 
4.8%
s 1946
 
4.4%
Other values (47) 16664
38.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 27267
62.1%
Other Letter 12688
28.9%
Uppercase Letter 3727
 
8.5%
Space Separator 199
 
0.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 3294
12.1%
i 2834
10.4%
e 2214
 
8.1%
u 2140
 
7.8%
r 2101
 
7.7%
s 1946
 
7.1%
o 1902
 
7.0%
n 1595
 
5.8%
l 1579
 
5.8%
m 1465
 
5.4%
Other values (16) 6197
22.7%
Uppercase Letter
ValueCountFrequency (%)
C 482
12.9%
A 434
11.6%
P 423
11.3%
S 337
 
9.0%
L 272
 
7.3%
E 215
 
5.8%
D 207
 
5.6%
M 186
 
5.0%
V 152
 
4.1%
T 146
 
3.9%
Other values (16) 873
23.4%
Other Letter
ValueCountFrequency (%)
3172
25.0%
3172
25.0%
3172
25.0%
3172
25.0%
Space Separator
ValueCountFrequency (%)
199
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 30994
70.6%
Hangul 12688
28.9%
Common 199
 
0.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 3294
 
10.6%
i 2834
 
9.1%
e 2214
 
7.1%
u 2140
 
6.9%
r 2101
 
6.8%
s 1946
 
6.3%
o 1902
 
6.1%
n 1595
 
5.1%
l 1579
 
5.1%
m 1465
 
4.7%
Other values (42) 9924
32.0%
Hangul
ValueCountFrequency (%)
3172
25.0%
3172
25.0%
3172
25.0%
3172
25.0%
Common
ValueCountFrequency (%)
199
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 31193
71.1%
Hangul 12688
28.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 3294
 
10.6%
i 2834
 
9.1%
e 2214
 
7.1%
u 2140
 
6.9%
r 2101
 
6.7%
s 1946
 
6.2%
o 1902
 
6.1%
n 1595
 
5.1%
l 1579
 
5.1%
m 1465
 
4.7%
Other values (43) 10123
32.5%
Hangul
ValueCountFrequency (%)
3172
25.0%
3172
25.0%
3172
25.0%
3172
25.0%

종명
Text

Distinct871
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Memory size54.0 KiB
2023-12-13T02:04:38.517302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length6.678939
Min length4

Characters and Unicode

Total characters46078
Distinct characters33
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique242 ?
Unique (%)3.5%

Sample

1st row해당없음
2nd row해당없음
3rd row해당없음
4th row해당없음
5th row해당없음
ValueCountFrequency (%)
해당없음 3172
46.0%
japonica 217
 
3.1%
japonicus 72
 
1.0%
japonicum 60
 
0.9%
chinensis 34
 
0.5%
fauriei 31
 
0.4%
serrata 31
 
0.4%
taquetii 27
 
0.4%
asiatica 26
 
0.4%
nigrum 26
 
0.4%
Other values (821) 3207
46.5%
2023-12-13T02:04:38.975900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 4529
 
9.8%
i 4052
 
8.8%
3196
 
6.9%
3196
 
6.9%
3196
 
6.9%
3196
 
6.9%
s 2477
 
5.4%
n 2177
 
4.7%
o 2048
 
4.4%
e 2041
 
4.4%
Other values (23) 15970
34.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 32948
71.5%
Other Letter 12784
 
27.7%
Space Separator 343
 
0.7%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 4529
13.7%
i 4052
12.3%
s 2477
 
7.5%
n 2177
 
6.6%
o 2048
 
6.2%
e 2041
 
6.2%
u 1982
 
6.0%
r 1936
 
5.9%
c 1801
 
5.5%
l 1732
 
5.3%
Other values (16) 8173
24.8%
Other Letter
ValueCountFrequency (%)
3196
25.0%
3196
25.0%
3196
25.0%
3196
25.0%
Uppercase Letter
ValueCountFrequency (%)
M 2
66.7%
V 1
33.3%
Space Separator
ValueCountFrequency (%)
343
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 32951
71.5%
Hangul 12784
 
27.7%
Common 343
 
0.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 4529
13.7%
i 4052
12.3%
s 2477
 
7.5%
n 2177
 
6.6%
o 2048
 
6.2%
e 2041
 
6.2%
u 1982
 
6.0%
r 1936
 
5.9%
c 1801
 
5.5%
l 1732
 
5.3%
Other values (18) 8176
24.8%
Hangul
ValueCountFrequency (%)
3196
25.0%
3196
25.0%
3196
25.0%
3196
25.0%
Common
ValueCountFrequency (%)
343
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33294
72.3%
Hangul 12784
 
27.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 4529
13.6%
i 4052
12.2%
s 2477
 
7.4%
n 2177
 
6.5%
o 2048
 
6.2%
e 2041
 
6.1%
u 1982
 
6.0%
r 1936
 
5.8%
c 1801
 
5.4%
l 1732
 
5.2%
Other values (19) 8519
25.6%
Hangul
ValueCountFrequency (%)
3196
25.0%
3196
25.0%
3196
25.0%
3196
25.0%

명칭
Text

Distinct1937
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Memory size54.0 KiB
2023-12-13T02:04:39.341803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length22
Mean length4.6134222
Min length1

Characters and Unicode

Total characters31828
Distinct characters612
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

Unique666 ?
Unique (%)9.7%

Sample

1st row감진곱슬이
2nd row왜잎송진내
3rd row돌가사리
4th row꽃지누아리
5th row부챗말
ValueCountFrequency (%)
현무암 317
 
4.5%
화산탄 148
 
2.1%
밤색무늬조개류 133
 
1.9%
패류화석(서귀포층 65
 
0.9%
북륙가리비 64
 
0.9%
조면암 56
 
0.8%
뿔조개 55
 
0.8%
동굴내의 49
 
0.7%
암석 49
 
0.7%
제주송곳고둥 33
 
0.5%
Other values (1894) 6056
86.2%
2023-12-13T02:04:39.834663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2104
 
6.6%
1329
 
4.2%
1087
 
3.4%
980
 
3.1%
730
 
2.3%
605
 
1.9%
513
 
1.6%
492
 
1.5%
467
 
1.5%
465
 
1.5%
Other values (602) 23056
72.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29087
91.4%
Space Separator 2104
 
6.6%
Lowercase Letter 420
 
1.3%
Open Punctuation 91
 
0.3%
Close Punctuation 91
 
0.3%
Uppercase Letter 31
 
0.1%
Other Punctuation 3
 
< 0.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1329
 
4.6%
1087
 
3.7%
980
 
3.4%
730
 
2.5%
605
 
2.1%
513
 
1.8%
492
 
1.7%
467
 
1.6%
465
 
1.6%
453
 
1.6%
Other values (562) 21966
75.5%
Lowercase Letter
ValueCountFrequency (%)
a 79
18.8%
i 48
11.4%
l 35
 
8.3%
o 29
 
6.9%
r 28
 
6.7%
s 25
 
6.0%
e 25
 
6.0%
c 21
 
5.0%
n 19
 
4.5%
u 17
 
4.0%
Other values (13) 94
22.4%
Uppercase Letter
ValueCountFrequency (%)
S 5
16.1%
T 5
16.1%
H 4
12.9%
L 4
12.9%
A 3
9.7%
W 3
9.7%
P 2
 
6.5%
C 2
 
6.5%
N 1
 
3.2%
G 1
 
3.2%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
/ 1
33.3%
Space Separator
ValueCountFrequency (%)
2104
100.0%
Open Punctuation
ValueCountFrequency (%)
( 91
100.0%
Close Punctuation
ValueCountFrequency (%)
) 91
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29087
91.4%
Common 2290
 
7.2%
Latin 451
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1329
 
4.6%
1087
 
3.7%
980
 
3.4%
730
 
2.5%
605
 
2.1%
513
 
1.8%
492
 
1.7%
467
 
1.6%
465
 
1.6%
453
 
1.6%
Other values (562) 21966
75.5%
Latin
ValueCountFrequency (%)
a 79
17.5%
i 48
 
10.6%
l 35
 
7.8%
o 29
 
6.4%
r 28
 
6.2%
s 25
 
5.5%
e 25
 
5.5%
c 21
 
4.7%
n 19
 
4.2%
u 17
 
3.8%
Other values (24) 125
27.7%
Common
ValueCountFrequency (%)
2104
91.9%
( 91
 
4.0%
) 91
 
4.0%
. 2
 
0.1%
3 1
 
< 0.1%
/ 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29087
91.4%
ASCII 2741
 
8.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2104
76.8%
( 91
 
3.3%
) 91
 
3.3%
a 79
 
2.9%
i 48
 
1.8%
l 35
 
1.3%
o 29
 
1.1%
r 28
 
1.0%
s 25
 
0.9%
e 25
 
0.9%
Other values (30) 186
 
6.8%
Hangul
ValueCountFrequency (%)
1329
 
4.6%
1087
 
3.7%
980
 
3.4%
730
 
2.5%
605
 
2.1%
513
 
1.8%
492
 
1.7%
467
 
1.6%
465
 
1.6%
453
 
1.6%
Other values (562) 21966
75.5%

이명
Text

Distinct67
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size54.0 KiB
2023-12-13T02:04:40.098103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length4
Mean length3.8917234
Min length1

Characters and Unicode

Total characters26849
Distinct characters161
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)0.5%

Sample

1st row해당없음
2nd row해당없음
3rd row해당없음
4th row해당없음
5th row해당없음
ValueCountFrequency (%)
해당없음 6477
93.8%
0 282
 
4.1%
갯질경 9
 
0.1%
노루발풀 9
 
0.1%
고래뼈화석(서귀포층 6
 
0.1%
겨이삭 6
 
0.1%
꿀풀목 5
 
0.1%
남오미자나무 5
 
0.1%
한라산조면암 5
 
0.1%
곰의말채 5
 
0.1%
Other values (57) 93
 
1.3%
2023-12-13T02:04:40.484746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6481
24.1%
6480
24.1%
6479
24.1%
6479
24.1%
0 282
 
1.1%
22
 
0.1%
20
 
0.1%
16
 
0.1%
16
 
0.1%
14
 
0.1%
Other values (151) 560
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26493
98.7%
Decimal Number 303
 
1.1%
Lowercase Letter 16
 
0.1%
Space Separator 13
 
< 0.1%
Open Punctuation 11
 
< 0.1%
Close Punctuation 11
 
< 0.1%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6481
24.5%
6480
24.5%
6479
24.5%
6479
24.5%
22
 
0.1%
20
 
0.1%
16
 
0.1%
16
 
0.1%
14
 
0.1%
14
 
0.1%
Other values (134) 472
 
1.8%
Decimal Number
ValueCountFrequency (%)
0 282
93.1%
5 9
 
3.0%
9 6
 
2.0%
3 2
 
0.7%
4 1
 
0.3%
6 1
 
0.3%
1 1
 
0.3%
2 1
 
0.3%
Lowercase Letter
ValueCountFrequency (%)
a 6
37.5%
i 4
25.0%
k 2
 
12.5%
w 2
 
12.5%
s 2
 
12.5%
Space Separator
ValueCountFrequency (%)
13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Uppercase Letter
ValueCountFrequency (%)
K 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26493
98.7%
Common 338
 
1.3%
Latin 18
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6481
24.5%
6480
24.5%
6479
24.5%
6479
24.5%
22
 
0.1%
20
 
0.1%
16
 
0.1%
16
 
0.1%
14
 
0.1%
14
 
0.1%
Other values (134) 472
 
1.8%
Common
ValueCountFrequency (%)
0 282
83.4%
13
 
3.8%
( 11
 
3.3%
) 11
 
3.3%
5 9
 
2.7%
9 6
 
1.8%
3 2
 
0.6%
4 1
 
0.3%
6 1
 
0.3%
1 1
 
0.3%
Latin
ValueCountFrequency (%)
a 6
33.3%
i 4
22.2%
k 2
 
11.1%
K 2
 
11.1%
w 2
 
11.1%
s 2
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26493
98.7%
ASCII 356
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
6481
24.5%
6480
24.5%
6479
24.5%
6479
24.5%
22
 
0.1%
20
 
0.1%
16
 
0.1%
16
 
0.1%
14
 
0.1%
14
 
0.1%
Other values (134) 472
 
1.8%
ASCII
ValueCountFrequency (%)
0 282
79.2%
13
 
3.7%
( 11
 
3.1%
) 11
 
3.1%
5 9
 
2.5%
9 6
 
1.7%
a 6
 
1.7%
i 4
 
1.1%
3 2
 
0.6%
k 2
 
0.6%
Other values (7) 10
 
2.8%
Distinct6899
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size54.0 KiB
2023-12-13T02:04:40.830346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters68990
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6899 ?
Unique (%)100.0%

Sample

1st rowJFNM-22277
2nd rowJFNM-22218
3rd rowJFNM-22230
4th rowJFNM-22247
5th rowJFNM-22278
ValueCountFrequency (%)
jfnm-22277 1
 
< 0.1%
jfnm-18953 1
 
< 0.1%
jfnm-18951 1
 
< 0.1%
jfnm-18950 1
 
< 0.1%
jfnm-18949 1
 
< 0.1%
jfnm-18948 1
 
< 0.1%
jfnm-18947 1
 
< 0.1%
jfnm-18946 1
 
< 0.1%
jfnm-18945 1
 
< 0.1%
jfnm-18944 1
 
< 0.1%
Other values (6889) 6889
99.9%
2023-12-13T02:04:41.338659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
J 6899
10.0%
F 6899
10.0%
N 6899
10.0%
M 6899
10.0%
- 6899
10.0%
2 6823
9.9%
1 6106
8.9%
9 3116
 
4.5%
8 3089
 
4.5%
0 3086
 
4.5%
Other values (5) 12275
17.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 34495
50.0%
Uppercase Letter 27596
40.0%
Dash Punctuation 6899
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 6823
19.8%
1 6106
17.7%
9 3116
9.0%
8 3089
9.0%
0 3086
8.9%
7 3076
8.9%
3 3030
8.8%
6 2096
 
6.1%
5 2071
 
6.0%
4 2002
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
J 6899
25.0%
F 6899
25.0%
N 6899
25.0%
M 6899
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 6899
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 41394
60.0%
Latin 27596
40.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 6899
16.7%
2 6823
16.5%
1 6106
14.8%
9 3116
7.5%
8 3089
7.5%
0 3086
7.5%
7 3076
7.4%
3 3030
7.3%
6 2096
 
5.1%
5 2071
 
5.0%
Latin
ValueCountFrequency (%)
J 6899
25.0%
F 6899
25.0%
N 6899
25.0%
M 6899
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 68990
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
J 6899
10.0%
F 6899
10.0%
N 6899
10.0%
M 6899
10.0%
- 6899
10.0%
2 6823
9.9%
1 6106
8.9%
9 3116
 
4.5%
8 3089
 
4.5%
0 3086
 
4.5%
Other values (5) 12275
17.8%
Distinct6899
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size54.0 KiB
2023-12-13T02:04:41.673744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length11.420931
Min length9

Characters and Unicode

Total characters78793
Distinct characters22
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6899 ?
Unique (%)100.0%

Sample

1st rowJFNM-AL-1033
2nd rowJFNM-AL-974
3rd rowJFNM-AL-986
4th rowJFNM-AL-1003
5th rowJFNM-AL-1034
ValueCountFrequency (%)
jfnm-al-1033 1
 
< 0.1%
jfnm-vp-1980 1
 
< 0.1%
jfnm-vp-1978 1
 
< 0.1%
jfnm-vp-1977 1
 
< 0.1%
jfnm-vp-1976 1
 
< 0.1%
jfnm-vp-1975 1
 
< 0.1%
jfnm-vp-1974 1
 
< 0.1%
jfnm-vp-1973 1
 
< 0.1%
jfnm-vp-1972 1
 
< 0.1%
jfnm-vp-1971 1
 
< 0.1%
Other values (6889) 6889
99.9%
2023-12-13T02:04:42.207161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 13798
17.5%
F 6933
 
8.8%
J 6899
 
8.8%
N 6899
 
8.8%
M 6899
 
8.8%
V 4271
 
5.4%
P 4271
 
5.4%
1 3316
 
4.2%
2 3173
 
4.0%
3 3087
 
3.9%
Other values (12) 19247
24.4%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 41394
52.5%
Decimal Number 23601
30.0%
Dash Punctuation 13798
 
17.5%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
F 6933
16.7%
J 6899
16.7%
N 6899
16.7%
M 6899
16.7%
V 4271
10.3%
P 4271
10.3%
O 1522
 
3.7%
L 1106
 
2.7%
A 1106
 
2.7%
R 930
 
2.2%
Decimal Number
ValueCountFrequency (%)
1 3316
14.1%
2 3173
13.4%
3 3087
13.1%
4 2353
10.0%
5 2038
8.6%
6 1970
8.3%
7 1961
8.3%
8 1959
8.3%
9 1889
8.0%
0 1855
7.9%
Dash Punctuation
ValueCountFrequency (%)
- 13798
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 41394
52.5%
Common 37399
47.5%

Most frequent character per script

Common
ValueCountFrequency (%)
- 13798
36.9%
1 3316
 
8.9%
2 3173
 
8.5%
3 3087
 
8.3%
4 2353
 
6.3%
5 2038
 
5.4%
6 1970
 
5.3%
7 1961
 
5.2%
8 1959
 
5.2%
9 1889
 
5.1%
Latin
ValueCountFrequency (%)
F 6933
16.7%
J 6899
16.7%
N 6899
16.7%
M 6899
16.7%
V 4271
10.3%
P 4271
10.3%
O 1522
 
3.7%
L 1106
 
2.7%
A 1106
 
2.7%
R 930
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 78793
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 13798
17.5%
F 6933
 
8.8%
J 6899
 
8.8%
N 6899
 
8.8%
M 6899
 
8.8%
V 4271
 
5.4%
P 4271
 
5.4%
1 3316
 
4.2%
2 3173
 
4.0%
3 3087
 
3.9%
Other values (12) 19247
24.4%

수량
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size54.0 KiB
1
6899 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 6899
100.0%

Length

2023-12-13T02:04:42.381800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:04:42.495960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 6899
100.0%

사진분류
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size54.0 KiB
식물
3836 
해조류
1106 
암석
929 
화석
557 
식물(외래)
 
260
Other values (3)
 
211

Length

Max length7
Median length2
Mean length2.4384693
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식물 3836
55.6%
해조류 1106
 
16.0%
암석 929
 
13.5%
화석 557
 
8.1%
식물(외래) 260
 
3.8%
식물(중국산) 175
 
2.5%
토양 34
 
0.5%
기타암석 2
 
< 0.1%

Length

2023-12-13T02:04:42.608893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:04:42.739780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식물 3836
55.6%
해조류 1106
 
16.0%
암석 929
 
13.5%
화석 557
 
8.1%
식물(외래 260
 
3.8%
식물(중국산 175
 
2.5%
토양 34
 
0.5%
기타암석 2
 
< 0.1%

규격
Text

Distinct650
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size54.0 KiB
2023-12-13T02:04:43.041877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length2
Mean length3.275982
Min length1

Characters and Unicode

Total characters22601
Distinct characters28
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

Unique394 ?
Unique (%)5.7%

Sample

1st row2
2nd row3
3rd row4
4th row4
5th row5
ValueCountFrequency (%)
표본 4271
58.5%
해당없음 1431
 
19.6%
177
 
2.4%
15 27
 
0.4%
0.2~11.5 24
 
0.3%
20×49 22
 
0.3%
16 19
 
0.3%
70 15
 
0.2%
18 15
 
0.2%
17 14
 
0.2%
Other values (638) 1286
 
17.6%
2023-12-13T02:04:43.498975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4271
18.9%
4271
18.9%
1832
8.1%
1431
 
6.3%
1431
 
6.3%
1431
 
6.3%
1431
 
6.3%
1 1065
 
4.7%
× 1037
 
4.6%
2 853
 
3.8%
Other values (18) 3548
15.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14266
63.1%
Decimal Number 4972
 
22.0%
Space Separator 1832
 
8.1%
Math Symbol 1061
 
4.7%
Other Punctuation 358
 
1.6%
Open Punctuation 35
 
0.2%
Close Punctuation 35
 
0.2%
Uppercase Letter 24
 
0.1%
Dash Punctuation 10
 
< 0.1%
Lowercase Letter 8
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1065
21.4%
2 853
17.2%
0 800
16.1%
5 572
11.5%
3 483
9.7%
4 313
 
6.3%
7 250
 
5.0%
6 228
 
4.6%
8 228
 
4.6%
9 180
 
3.6%
Other Letter
ValueCountFrequency (%)
4271
29.9%
4271
29.9%
1431
 
10.0%
1431
 
10.0%
1431
 
10.0%
1431
 
10.0%
Other Punctuation
ValueCountFrequency (%)
/ 184
51.4%
. 153
42.7%
, 12
 
3.4%
* 9
 
2.5%
Math Symbol
ValueCountFrequency (%)
× 1037
97.7%
~ 24
 
2.3%
Space Separator
ValueCountFrequency (%)
1832
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Uppercase Letter
ValueCountFrequency (%)
X 24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Lowercase Letter
ValueCountFrequency (%)
x 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14266
63.1%
Common 8303
36.7%
Latin 32
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
1832
22.1%
1 1065
12.8%
× 1037
12.5%
2 853
10.3%
0 800
9.6%
5 572
 
6.9%
3 483
 
5.8%
4 313
 
3.8%
7 250
 
3.0%
6 228
 
2.7%
Other values (10) 870
10.5%
Hangul
ValueCountFrequency (%)
4271
29.9%
4271
29.9%
1431
 
10.0%
1431
 
10.0%
1431
 
10.0%
1431
 
10.0%
Latin
ValueCountFrequency (%)
X 24
75.0%
x 8
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14266
63.1%
ASCII 7298
32.3%
None 1037
 
4.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
4271
29.9%
4271
29.9%
1431
 
10.0%
1431
 
10.0%
1431
 
10.0%
1431
 
10.0%
ASCII
ValueCountFrequency (%)
1832
25.1%
1 1065
14.6%
2 853
11.7%
0 800
11.0%
5 572
 
7.8%
3 483
 
6.6%
4 313
 
4.3%
7 250
 
3.4%
6 228
 
3.1%
8 228
 
3.1%
Other values (11) 674
 
9.2%
None
ValueCountFrequency (%)
× 1037
100.0%

상태
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size54.0 KiB
건조
5377 
1321 
 
187
 
10
해당없음
 
4

Length

Max length6
Median length2
Mean length1.7822873
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
건조 5377
77.9%
1321
 
19.1%
187
 
2.7%
10
 
0.1%
해당없음 4
 
0.1%

Length

2023-12-13T02:04:43.641478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:04:43.755998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건조 5377
77.9%
1321
 
19.1%
187
 
2.7%
10
 
0.1%
해당없음 4
 
0.1%

수집방법
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size54.0 KiB
자체
3981 
구입
2672 
기증
 
246

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row자체
2nd row기증
3rd row기증
4th row기증
5th row자체

Common Values

ValueCountFrequency (%)
자체 3981
57.7%
구입 2672
38.7%
기증 246
 
3.6%

Length

2023-12-13T02:04:43.913789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:04:44.028689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자체 3981
57.7%
구입 2672
38.7%
기증 246
 
3.6%

현 상태
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size54.0 KiB
광식물수장고
5585 
해양수장고
1106 
전시
 
202
중정
 
4
상설전시
 
2

Length

Max length6
Median length6
Mean length5.7196695
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
광식물수장고 5585
81.0%
해양수장고 1106
 
16.0%
전시 202
 
2.9%
중정 4
 
0.1%
상설전시 2
 
< 0.1%

Length

2023-12-13T02:04:44.159321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:04:44.272099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
광식물수장고 5585
81.0%
해양수장고 1106
 
16.0%
전시 202
 
2.9%
중정 4
 
0.1%
상설전시 2
 
< 0.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size54.0 KiB
Minimum2016-09-30 00:00:00
Maximum2016-09-30 00:00:00
2023-12-13T02:04:44.381012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:04:44.486320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-13T02:04:44.572946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대분류중분류이명사진분류상태수집방법현 상태
대분류1.0001.0000.1731.0001.0000.2110.320
중분류1.0001.0000.1790.9960.8920.3570.886
이명0.1730.1791.0000.3190.3360.3690.157
사진분류1.0000.9960.3191.0000.7990.5460.850
상태1.0000.8920.3360.7991.0000.3370.788
수집방법0.2110.3570.3690.5460.3371.0000.250
현 상태0.3200.8860.1570.8500.7880.2501.000
2023-12-13T02:04:44.686904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대분류사진분류현 상태수집방법상태중분류
대분류1.0001.0000.3900.3461.0001.000
사진분류1.0001.0000.7380.4110.6571.000
현 상태0.3900.7381.0000.1940.4100.543
수집방법0.3460.4110.1941.0000.2710.289
상태1.0000.6570.4100.2711.0000.554
중분류1.0001.0000.5430.2890.5541.000
2023-12-13T02:04:44.787404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대분류중분류사진분류상태수집방법현 상태
대분류1.0001.0001.0001.0000.3460.390
중분류1.0001.0001.0000.5540.2890.543
사진분류1.0001.0001.0000.6570.4110.738
상태1.0000.5540.6571.0000.2710.410
수집방법0.3460.2890.4110.2711.0000.194
현 상태0.3900.5430.7380.4100.1941.000

Missing values

2023-12-13T02:04:34.696242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:04:34.971062image/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

기관코드대분류중분류소분류세분류속명종명명칭이명자료수집번호(통합)자료세부분류번호수량사진분류규격상태수집방법현 상태데이터기준일자
0JFNM식물해조류해당없음해당없음해당없음해당없음감진곱슬이해당없음JFNM-22277JFNM-AL-10331해조류2건조자체해양수장고2016-09-30
1JFNM식물해조류해당없음해당없음해당없음해당없음왜잎송진내해당없음JFNM-22218JFNM-AL-9741해조류3건조기증해양수장고2016-09-30
2JFNM식물해조류해당없음해당없음해당없음해당없음돌가사리해당없음JFNM-22230JFNM-AL-9861해조류4건조기증해양수장고2016-09-30
3JFNM식물해조류해당없음해당없음해당없음해당없음꽃지누아리해당없음JFNM-22247JFNM-AL-10031해조류4건조기증해양수장고2016-09-30
4JFNM식물해조류해당없음해당없음해당없음해당없음부챗말해당없음JFNM-22278JFNM-AL-10341해조류5건조자체해양수장고2016-09-30
5JFNM식물해조류해당없음해당없음해당없음해당없음털엇가지풀해당없음JFNM-22213JFNM-AL-9691해조류6건조기증해양수장고2016-09-30
6JFNM식물해조류해당없음해당없음해당없음해당없음구멍갈파래해당없음JFNM-22168JFNM-AL-9241해조류7건조기증해양수장고2016-09-30
7JFNM식물해조류해당없음해당없음해당없음해당없음납작흐늘풀해당없음JFNM-22279JFNM-AL-10351해조류7건조자체해양수장고2016-09-30
8JFNM식물해조류해당없음해당없음해당없음해당없음겹가지개서실해당없음JFNM-22288JFNM-AL-10441해조류7건조자체해양수장고2016-09-30
9JFNM식물해조류해당없음해당없음해당없음해당없음개그물바탕말해당없음JFNM-22178JFNM-AL-9341해조류8건조기증해양수장고2016-09-30
기관코드대분류중분류소분류세분류속명종명명칭이명자료수집번호(통합)자료세부분류번호수량사진분류규격상태수집방법현 상태데이터기준일자
6889JFNM식물관속식물현삼목현삼과Pedicularisverticillata구름송이풀해당없음JFNM-21235JFNM-VP-42621식물표본건조자체광식물수장고2016-09-30
6890JFNM식물관속식물해당없음국화과해당없음해당없음흰가시엉겅퀴해당없음JFNM-21236JFNM-VP-42631식물표본건조자체광식물수장고2016-09-30
6891JFNM식물관속식물미나리아재비목미나리아재비과Eranthisbyunsanensis변산바람꽃해당없음JFNM-21237JFNM-VP-42641식물표본건조자체광식물수장고2016-09-30
6892JFNM식물관속식물미나리아재비목미나리아재비과Eranthisbyunsanensis변산바람꽃해당없음JFNM-21238JFNM-VP-42651식물표본건조자체광식물수장고2016-09-30
6893JFNM식물관속식물미나리아재비목미나리아재비과Eranthisbyunsanensis변산바람꽃해당없음JFNM-21239JFNM-VP-42661식물표본건조자체광식물수장고2016-09-30
6894JFNM식물관속식물해당없음자금우과해당없음해당없음천량금해당없음JFNM-21240JFNM-VP-42671식물표본건조자체광식물수장고2016-09-30
6895JFNM식물관속식물미나리목미나리과Pternopetalumtanakae반디미나리해당없음JFNM-21241JFNM-VP-42681식물표본건조자체광식물수장고2016-09-30
6896JFNM식물관속식물해당없음콩과해당없음해당없음남아초해당없음JFNM-21242JFNM-VP-42691식물표본건조자체광식물수장고2016-09-30
6897JFNM식물관속식물아욱목아욱과Hibiscushamabo황근해당없음JFNM-21243JFNM-VP-42701식물표본건조자체광식물수장고2016-09-30
6898JFNM식물관속식물아욱목아욱과Hibiscushamabo황근해당없음JFNM-21244JFNM-VP-42711식물표본건조자체광식물수장고2016-09-30