Overview

Dataset statistics

Number of variables28
Number of observations10000
Missing cells88465
Missing cells (%)31.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 MiB
Average record size in memory234.0 B

Variable types

Numeric3
Categorical6
Text8
Boolean11

Dataset

Description국립공원 내 고등균, 곤충, 식물, 어류, 저서성대형무척추동물, 조류, 파충류등 생물종 각 개체에 대한 국명, 학명 등 정보입니다.
Author국립공원공단
URLhttps://www.data.go.kr/data/3068388/fileData.do

Alerts

멸종위기생물1급 is highly imbalanced (95.6%)Imbalance
멸종위기생물2급 is highly imbalanced (92.9%)Imbalance
천연기념물 is highly imbalanced (94.7%)Imbalance
고유종 is highly imbalanced (83.2%)Imbalance
국외반출승인대상종 is highly imbalanced (64.0%)Imbalance
희귀식물 is highly imbalanced (79.6%)Imbalance
특산식물 is highly imbalanced (85.9%)Imbalance
깃대종 is highly imbalanced (95.8%)Imbalance
생태계교란생물 is highly imbalanced (98.6%)Imbalance
외래생물 is highly imbalanced (84.9%)Imbalance
우선관리생물 is highly imbalanced (97.7%)Imbalance
작성자 is highly imbalanced (95.8%)Imbalance
승인자 is highly imbalanced (83.8%)Imbalance
강코드 has 879 (8.8%) missing valuesMissing
목코드 has 1014 (10.1%) missing valuesMissing
과코드 has 1013 (10.1%) missing valuesMissing
속코드 has 5134 (51.3%) missing valuesMissing
명명자 has 886 (8.9%) missing valuesMissing
멸종위기생물1급 has 6038 (60.4%) missing valuesMissing
멸종위기생물2급 has 6032 (60.3%) missing valuesMissing
천연기념물 has 6028 (60.3%) missing valuesMissing
고유종 has 6033 (60.3%) missing valuesMissing
국외반출승인대상종 has 6003 (60.0%) missing valuesMissing
희귀식물 has 6051 (60.5%) missing valuesMissing
특산식물 has 6051 (60.5%) missing valuesMissing
깃대종 has 6042 (60.4%) missing valuesMissing
특정식물 has 6602 (66.0%) missing valuesMissing
생태계교란생물 has 6051 (60.5%) missing valuesMissing
외래생물 has 6051 (60.5%) missing valuesMissing
우선관리생물 has 6051 (60.5%) missing valuesMissing
특징 has 6506 (65.1%) missing valuesMissing
번호 has unique valuesUnique
종코드 has unique valuesUnique
특정식물 has 3161 (31.6%) zerosZeros

Reproduction

Analysis started2023-12-12 15:01:23.773793
Analysis finished2023-12-12 15:01:27.108170
Duration3.33 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14010.652
Minimum7
Maximum28016
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T00:01:27.168212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile1338.9
Q16991.5
median14155.5
Q321001.25
95-th percentile26674.3
Maximum28016
Range28009
Interquartile range (IQR)14009.75

Descriptive statistics

Standard deviation8118.2649
Coefficient of variation (CV)0.57943518
Kurtosis-1.2033599
Mean14010.652
Median Absolute Deviation (MAD)7010.5
Skewness-0.0067982766
Sum1.4010652 × 108
Variance65906225
MonotonicityNot monotonic
2023-12-13T00:01:27.297458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12971 1
 
< 0.1%
26217 1
 
< 0.1%
25317 1
 
< 0.1%
6437 1
 
< 0.1%
14479 1
 
< 0.1%
1628 1
 
< 0.1%
11633 1
 
< 0.1%
3519 1
 
< 0.1%
23034 1
 
< 0.1%
1316 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
7 1
< 0.1%
14 1
< 0.1%
15 1
< 0.1%
18 1
< 0.1%
24 1
< 0.1%
25 1
< 0.1%
26 1
< 0.1%
29 1
< 0.1%
30 1
< 0.1%
32 1
< 0.1%
ValueCountFrequency (%)
28016 1
< 0.1%
28015 1
< 0.1%
28010 1
< 0.1%
28006 1
< 0.1%
28004 1
< 0.1%
28002 1
< 0.1%
28001 1
< 0.1%
27993 1
< 0.1%
27992 1
< 0.1%
27990 1
< 0.1%

종코드
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15048.353
Minimum3
Maximum29902
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T00:01:27.416355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile1397.95
Q17584.25
median15334.5
Q322710.25
95-th percentile28495.05
Maximum29902
Range29899
Interquartile range (IQR)15126

Descriptive statistics

Standard deviation8787.8913
Coefficient of variation (CV)0.58397695
Kurtosis-1.2313642
Mean15048.353
Median Absolute Deviation (MAD)7552.5
Skewness-0.025551415
Sum1.5048353 × 108
Variance77227033
MonotonicityNot monotonic
2023-12-13T00:01:27.540350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28896 1
 
< 0.1%
7367 1
 
< 0.1%
10155 1
 
< 0.1%
19272 1
 
< 0.1%
3183 1
 
< 0.1%
24690 1
 
< 0.1%
18696 1
 
< 0.1%
24215 1
 
< 0.1%
11207 1
 
< 0.1%
23888 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
3 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
15 1
< 0.1%
16 1
< 0.1%
17 1
< 0.1%
18 1
< 0.1%
19 1
< 0.1%
20 1
< 0.1%
21 1
< 0.1%
ValueCountFrequency (%)
29902 1
< 0.1%
29901 1
< 0.1%
29896 1
< 0.1%
29894 1
< 0.1%
29892 1
< 0.1%
29889 1
< 0.1%
29882 1
< 0.1%
29880 1
< 0.1%
29879 1
< 0.1%
29878 1
< 0.1%

분류명
Categorical

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
곤충류
4268 
저서성대형무척추동물
2324 
식물상
1868 
고등균류
486 
어류
448 
Other values (9)
606 

Length

Max length10
Median length3
Mean length4.6819
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row곤충류
2nd row담수조류
3rd row고등균류
4th row어류
5th row식물상

Common Values

ValueCountFrequency (%)
곤충류 4268
42.7%
저서성대형무척추동물 2324
23.2%
식물상 1868
18.7%
고등균류 486
 
4.9%
어류 448
 
4.5%
담수조류 182
 
1.8%
조류 164
 
1.6%
해조류 88
 
0.9%
해양식물플랑크톤 62
 
0.6%
포유류 56
 
0.6%
Other values (4) 54
 
0.5%

Length

2023-12-13T00:01:27.668660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
곤충류 4268
42.7%
저서성대형무척추동물 2324
23.2%
식물상 1868
18.7%
고등균류 486
 
4.9%
어류 448
 
4.5%
담수조류 182
 
1.8%
조류 164
 
1.6%
해조류 88
 
0.9%
해양식물플랑크톤 62
 
0.6%
포유류 56
 
0.6%
Other values (4) 54
 
0.5%

문코드
Categorical

Distinct28
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
절지동물문
4956 
현화식물문
1727 
<NA>
812 
척삭동물문
711 
담자균문
 
445
Other values (23)
1349 

Length

Max length16
Median length5
Mean length4.8971
Min length3

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row절지동물문
2nd row<NA>
3rd row담자균문
4th row척삭동물문
5th row현화식물문

Common Values

ValueCountFrequency (%)
절지동물문 4956
49.6%
현화식물문 1727
 
17.3%
<NA> 812
 
8.1%
척삭동물문 711
 
7.1%
담자균문 445
 
4.5%
연체동물문 444
 
4.4%
환형동물문 133
 
1.3%
자포동물문 109
 
1.1%
해면동물문 105
 
1.1%
양치식물문 103
 
1.0%
Other values (18) 455
 
4.5%

Length

2023-12-13T00:01:27.779701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
절지동물문 4956
49.4%
현화식물문 1727
 
17.2%
na 812
 
8.1%
척삭동물문 711
 
7.1%
담자균문 445
 
4.4%
연체동물문 444
 
4.4%
환형동물문 133
 
1.3%
자포동물문 109
 
1.1%
해면동물문 105
 
1.0%
양치식물문 103
 
1.0%
Other values (19) 479
 
4.8%

강코드
Text

MISSING 

Distinct74
Distinct (%)0.8%
Missing879
Missing (%)8.8%
Memory size156.2 KiB
2023-12-13T00:01:27.974933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.2067756
Min length2

Characters and Unicode

Total characters29249
Distinct characters118
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

Unique11 ?
Unique (%)0.1%

Sample

1st row곤충강
2nd row주름버섯강
3rd row조기강
4th row목련강
5th row곤충강
ValueCountFrequency (%)
곤충강 3837
42.1%
목련강 1263
 
13.8%
갑각강 534
 
5.9%
백합강 464
 
5.1%
주름버섯강 438
 
4.8%
조기강 405
 
4.4%
복족강 318
 
3.5%
거미강 279
 
3.1%
협각강 233
 
2.6%
조강 158
 
1.7%
Other values (64) 1192
 
13.1%
2023-12-13T00:01:28.294652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
강 9121
31.2%
충 4018
13.7%
곤 3837
13.1%
목 1269
 
4.3%
련 1263
 
4.3%
각 767
 
2.6%
조 646
 
2.2%
갑 534
 
1.8%
백 464
 
1.6%
합 464
 
1.6%
Other values (108) 6866
23.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29249
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
강 9121
31.2%
충 4018
13.7%
곤 3837
13.1%
목 1269
 
4.3%
련 1263
 
4.3%
각 767
 
2.6%
조 646
 
2.2%
갑 534
 
1.8%
백 464
 
1.6%
합 464
 
1.6%
Other values (108) 6866
23.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29249
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
강 9121
31.2%
충 4018
13.7%
곤 3837
13.1%
목 1269
 
4.3%
련 1263
 
4.3%
각 767
 
2.6%
조 646
 
2.2%
갑 534
 
1.8%
백 464
 
1.6%
합 464
 
1.6%
Other values (108) 6866
23.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29249
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
강 9121
31.2%
충 4018
13.7%
곤 3837
13.1%
목 1269
 
4.3%
련 1263
 
4.3%
각 767
 
2.6%
조 646
 
2.2%
갑 534
 
1.8%
백 464
 
1.6%
합 464
 
1.6%
Other values (108) 6866
23.5%

목코드
Text

MISSING 

Distinct349
Distinct (%)3.9%
Missing1014
Missing (%)10.1%
Memory size156.2 KiB
2023-12-13T00:01:28.553882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length3.7959047
Min length2

Characters and Unicode

Total characters34110
Distinct characters324
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

Unique66 ?
Unique (%)0.7%

Sample

1st row나비목
2nd row구멍장이버섯목
3rd row농어목
4th row콩목
5th row노린재목
ValueCountFrequency (%)
나비목 954
 
10.6%
딱정벌레목 936
 
10.4%
벌목 614
 
6.8%
노린재목 589
 
6.6%
파리목 433
 
4.8%
거미목 266
 
3.0%
주름버섯목 222
 
2.5%
농어목 180
 
2.0%
장미목 170
 
1.9%
십각목 161
 
1.8%
Other values (339) 4461
49.6%
2023-12-13T00:01:28.951720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
목 9001
26.4%
벌 1633
 
4.8%
나 1268
 
3.7%
비 1132
 
3.3%
레 1022
 
3.0%
정 943
 
2.8%
딱 939
 
2.8%
리 794
 
2.3%
노 711
 
2.1%
재 659
 
1.9%
Other values (314) 16008
46.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 34108
> 99.9%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
목 9001
26.4%
벌 1633
 
4.8%
나 1268
 
3.7%
비 1132
 
3.3%
레 1022
 
3.0%
정 943
 
2.8%
딱 939
 
2.8%
리 794
 
2.3%
노 711
 
2.1%
재 659
 
1.9%
Other values (312) 16006
46.9%
Close Punctuation
ValueCountFrequency (%)
] 1
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 34108
> 99.9%
Common 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
목 9001
26.4%
벌 1633
 
4.8%
나 1268
 
3.7%
비 1132
 
3.3%
레 1022
 
3.0%
정 943
 
2.8%
딱 939
 
2.8%
리 794
 
2.3%
노 711
 
2.1%
재 659
 
1.9%
Other values (312) 16006
46.9%
Common
ValueCountFrequency (%)
] 1
50.0%
[ 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 34108
> 99.9%
ASCII 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
목 9001
26.4%
벌 1633
 
4.8%
나 1268
 
3.7%
비 1132
 
3.3%
레 1022
 
3.0%
정 943
 
2.8%
딱 939
 
2.8%
리 794
 
2.3%
노 711
 
2.1%
재 659
 
1.9%
Other values (312) 16006
46.9%
ASCII
ValueCountFrequency (%)
] 1
50.0%
[ 1
50.0%

과코드
Text

MISSING 

Distinct1520
Distinct (%)16.9%
Missing1013
Missing (%)10.1%
Memory size156.2 KiB
2023-12-13T00:01:29.269331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length4.5984199
Min length2

Characters and Unicode

Total characters41326
Distinct characters573
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique590 ?
Unique (%)6.6%

Sample

1st row명나방과
2nd row유색고약버섯과
3rd row망둑어과
4th row콩과
5th row진딧물과
ValueCountFrequency (%)
밤나방과 326
 
3.6%
맵시벌과 160
 
1.8%
국화과 153
 
1.7%
잎벌레과 135
 
1.5%
화본과 132
 
1.5%
사초과 131
 
1.5%
진딧물과 123
 
1.4%
매미충과 108
 
1.2%
장미과 108
 
1.2%
하늘소과 105
 
1.2%
Other values (1511) 7538
83.6%
2023-12-13T00:01:29.757726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 9006
 
21.8%
나 1420
 
3.4%
벌 1377
 
3.3%
이 969
 
2.3%
리 963
 
2.3%
방 957
 
2.3%
미 868
 
2.1%
레 868
 
2.1%
버 459
 
1.1%
섯 436
 
1.1%
Other values (563) 24003
58.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 41281
99.9%
Space Separator 32
 
0.1%
Other Punctuation 5
 
< 0.1%
Close Punctuation 4
 
< 0.1%
Open Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 9006
 
21.8%
나 1420
 
3.4%
벌 1377
 
3.3%
이 969
 
2.3%
리 963
 
2.3%
방 957
 
2.3%
미 868
 
2.1%
레 868
 
2.1%
버 459
 
1.1%
섯 436
 
1.1%
Other values (557) 23958
58.0%
Close Punctuation
ValueCountFrequency (%)
) 3
75.0%
] 1
 
25.0%
Open Punctuation
ValueCountFrequency (%)
( 3
75.0%
[ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
32
100.0%
Other Punctuation
ValueCountFrequency (%)
; 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 41281
99.9%
Common 45
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 9006
 
21.8%
나 1420
 
3.4%
벌 1377
 
3.3%
이 969
 
2.3%
리 963
 
2.3%
방 957
 
2.3%
미 868
 
2.1%
레 868
 
2.1%
버 459
 
1.1%
섯 436
 
1.1%
Other values (557) 23958
58.0%
Common
ValueCountFrequency (%)
32
71.1%
; 5
 
11.1%
) 3
 
6.7%
( 3
 
6.7%
[ 1
 
2.2%
] 1
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 41281
99.9%
ASCII 45
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 9006
 
21.8%
나 1420
 
3.4%
벌 1377
 
3.3%
이 969
 
2.3%
리 963
 
2.3%
방 957
 
2.3%
미 868
 
2.1%
레 868
 
2.1%
버 459
 
1.1%
섯 436
 
1.1%
Other values (557) 23958
58.0%
ASCII
ValueCountFrequency (%)
32
71.1%
; 5
 
11.1%
) 3
 
6.7%
( 3
 
6.7%
[ 1
 
2.2%
] 1
 
2.2%

속코드
Text

MISSING 

Distinct2399
Distinct (%)49.3%
Missing5134
Missing (%)51.3%
Memory size156.2 KiB
2023-12-13T00:01:30.114462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length5.2920263
Min length1

Characters and Unicode

Total characters25751
Distinct characters651
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

Unique1520 ?
Unique (%)31.2%

Sample

1st row유색고약버섯속
2nd row사백어속
3rd row황기속
4th row볼록진딧물속
5th row진주거저리속
ValueCountFrequency (%)
사초속 71
 
1.5%
제비꽃속 27
 
0.6%
애꽃벌 21
 
0.4%
취나물속 19
 
0.4%
광대버섯속 19
 
0.4%
벚나무속 19
 
0.4%
무당버섯속 18
 
0.4%
장미속 17
 
0.3%
방동산이속 17
 
0.3%
단풍나무속 16
 
0.3%
Other values (2389) 4631
95.0%
2023-12-13T00:01:30.589751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
속 4787
 
18.6%
리 823
 
3.2%
벌 534
 
2.1%
미 529
 
2.1%
나 513
 
2.0%
이 511
 
2.0%
버 505
 
2.0%
섯 470
 
1.8%
무 455
 
1.8%
물 392
 
1.5%
Other values (641) 16232
63.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25427
98.7%
Decimal Number 228
 
0.9%
Close Punctuation 29
 
0.1%
Open Punctuation 29
 
0.1%
Lowercase Letter 20
 
0.1%
Space Separator 11
 
< 0.1%
Other Punctuation 3
 
< 0.1%
Uppercase Letter 2
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
속 4787
 
18.8%
리 823
 
3.2%
벌 534
 
2.1%
미 529
 
2.1%
나 513
 
2.0%
이 511
 
2.0%
버 505
 
2.0%
섯 470
 
1.8%
무 455
 
1.8%
물 392
 
1.5%
Other values (614) 15908
62.6%
Decimal Number
ValueCountFrequency (%)
1 80
35.1%
8 63
27.6%
7 20
 
8.8%
9 16
 
7.0%
5 13
 
5.7%
0 11
 
4.8%
2 10
 
4.4%
6 8
 
3.5%
4 5
 
2.2%
3 2
 
0.9%
Lowercase Letter
ValueCountFrequency (%)
i 4
20.0%
s 2
10.0%
t 2
10.0%
a 2
10.0%
b 2
10.0%
o 2
10.0%
r 2
10.0%
g 2
10.0%
e 2
10.0%
Close Punctuation
ValueCountFrequency (%)
) 28
96.6%
] 1
 
3.4%
Open Punctuation
ValueCountFrequency (%)
( 28
96.6%
[ 1
 
3.4%
Space Separator
ValueCountFrequency (%)
11
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
N 2
100.0%
Math Symbol
ValueCountFrequency (%)
= 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25427
98.7%
Common 302
 
1.2%
Latin 22
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
속 4787
 
18.8%
리 823
 
3.2%
벌 534
 
2.1%
미 529
 
2.1%
나 513
 
2.0%
이 511
 
2.0%
버 505
 
2.0%
섯 470
 
1.8%
무 455
 
1.8%
물 392
 
1.5%
Other values (614) 15908
62.6%
Common
ValueCountFrequency (%)
1 80
26.5%
8 63
20.9%
) 28
 
9.3%
( 28
 
9.3%
7 20
 
6.6%
9 16
 
5.3%
5 13
 
4.3%
11
 
3.6%
0 11
 
3.6%
2 10
 
3.3%
Other values (7) 22
 
7.3%
Latin
ValueCountFrequency (%)
i 4
18.2%
s 2
9.1%
t 2
9.1%
a 2
9.1%
b 2
9.1%
o 2
9.1%
r 2
9.1%
g 2
9.1%
N 2
9.1%
e 2
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25427
98.7%
ASCII 324
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
속 4787
 
18.8%
리 823
 
3.2%
벌 534
 
2.1%
미 529
 
2.1%
나 513
 
2.0%
이 511
 
2.0%
버 505
 
2.0%
섯 470
 
1.8%
무 455
 
1.8%
물 392
 
1.5%
Other values (614) 15908
62.6%
ASCII
ValueCountFrequency (%)
1 80
24.7%
8 63
19.4%
) 28
 
8.6%
( 28
 
8.6%
7 20
 
6.2%
9 16
 
4.9%
5 13
 
4.0%
11
 
3.4%
0 11
 
3.4%
2 10
 
3.1%
Other values (17) 44
13.6%

국명
Text

Distinct9402
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T00:01:30.927098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length27
Mean length6.1351
Min length1

Characters and Unicode

Total characters61351
Distinct characters876
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

Unique9392 ?
Unique (%)93.9%

Sample

1st row황색띠알락명나방
2nd row국명미상
3rd row무성유색고약버섯
4th row사백어
5th row제주황기
ValueCountFrequency (%)
국명미상 590
 
5.9%
kua 11
 
0.1%
kub 4
 
< 0.1%
각다귀 4
 
< 0.1%
1 2
 
< 0.1%
kuc 2
 
< 0.1%
메추리강도래 2
 
< 0.1%
총채민강도래 2
 
< 0.1%
뜸부기 2
 
< 0.1%
멧모기 2
 
< 0.1%
Other values (9397) 9407
93.8%
2023-12-13T00:01:31.433112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 1851
 
3.0%
나 1792
 
2.9%
이 1496
 
2.4%
미 1470
 
2.4%
벌 1423
 
2.3%
방 1308
 
2.1%
무 997
 
1.6%
레 958
 
1.6%
가 771
 
1.3%
명 739
 
1.2%
Other values (866) 48546
79.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 60824
99.1%
Open Punctuation 151
 
0.2%
Close Punctuation 150
 
0.2%
Lowercase Letter 138
 
0.2%
Uppercase Letter 54
 
0.1%
Space Separator 30
 
< 0.1%
Decimal Number 3
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 1851
 
3.0%
나 1792
 
2.9%
이 1496
 
2.5%
미 1470
 
2.4%
벌 1423
 
2.3%
방 1308
 
2.2%
무 997
 
1.6%
레 958
 
1.6%
가 771
 
1.3%
명 739
 
1.2%
Other values (826) 48019
78.9%
Lowercase Letter
ValueCountFrequency (%)
a 27
19.6%
o 13
 
9.4%
e 12
 
8.7%
i 10
 
7.2%
l 9
 
6.5%
n 7
 
5.1%
s 6
 
4.3%
t 6
 
4.3%
c 6
 
4.3%
u 6
 
4.3%
Other values (11) 36
26.1%
Uppercase Letter
ValueCountFrequency (%)
K 22
40.7%
U 17
31.5%
C 2
 
3.7%
H 2
 
3.7%
W 2
 
3.7%
S 2
 
3.7%
R 1
 
1.9%
A 1
 
1.9%
E 1
 
1.9%
D 1
 
1.9%
Other values (3) 3
 
5.6%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
4 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 151
100.0%
Close Punctuation
ValueCountFrequency (%)
) 150
100.0%
Space Separator
ValueCountFrequency (%)
30
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 60824
99.1%
Common 335
 
0.5%
Latin 192
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 1851
 
3.0%
나 1792
 
2.9%
이 1496
 
2.5%
미 1470
 
2.4%
벌 1423
 
2.3%
방 1308
 
2.2%
무 997
 
1.6%
레 958
 
1.6%
가 771
 
1.3%
명 739
 
1.2%
Other values (826) 48019
78.9%
Latin
ValueCountFrequency (%)
a 27
14.1%
K 22
 
11.5%
U 17
 
8.9%
o 13
 
6.8%
e 12
 
6.2%
i 10
 
5.2%
l 9
 
4.7%
n 7
 
3.6%
s 6
 
3.1%
t 6
 
3.1%
Other values (24) 63
32.8%
Common
ValueCountFrequency (%)
( 151
45.1%
) 150
44.8%
30
 
9.0%
1 2
 
0.6%
4 1
 
0.3%
, 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 60824
99.1%
ASCII 527
 
0.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 1851
 
3.0%
나 1792
 
2.9%
이 1496
 
2.5%
미 1470
 
2.4%
벌 1423
 
2.3%
방 1308
 
2.2%
무 997
 
1.6%
레 958
 
1.6%
가 771
 
1.3%
명 739
 
1.2%
Other values (826) 48019
78.9%
ASCII
ValueCountFrequency (%)
( 151
28.7%
) 150
28.5%
30
 
5.7%
a 27
 
5.1%
K 22
 
4.2%
U 17
 
3.2%
o 13
 
2.5%
e 12
 
2.3%
i 10
 
1.9%
l 9
 
1.7%
Other values (30) 86
16.3%

학명
Text

Distinct9958
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T00:01:31.780610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length54
Mean length19.7367
Min length9

Characters and Unicode

Total characters197367
Distinct characters69
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9916 ?
Unique (%)99.2%

Sample

1st rowAcrobasis flavifasciella
2nd rowFragilaria capucina var. fragilarioides
3rd rowPhanerochaete chrysosporium
4th rowLeucopsarion petersii
5th rowAstragalus membranaceus var. alpinus Nakai
ValueCountFrequency (%)
var 165
 
0.8%
japonica 158
 
0.8%
japonicus 95
 
0.5%
carex 71
 
0.3%
koreana 45
 
0.2%
nakai 45
 
0.2%
orientalis 42
 
0.2%
chinensis 40
 
0.2%
coreana 39
 
0.2%
japonicum 34
 
0.2%
Other values (12994) 20174
96.5%
2023-12-13T00:01:32.317305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 22330
 
11.3%
i 18533
 
9.4%
s 15250
 
7.7%
e 13026
 
6.6%
o 12857
 
6.5%
r 11800
 
6.0%
10908
 
5.5%
u 10672
 
5.4%
n 10435
 
5.3%
l 9976
 
5.1%
Other values (59) 61580
31.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 175552
88.9%
Space Separator 10909
 
5.5%
Uppercase Letter 10368
 
5.3%
Other Punctuation 384
 
0.2%
Decimal Number 56
 
< 0.1%
Open Punctuation 49
 
< 0.1%
Close Punctuation 49
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 22330
12.7%
i 18533
10.6%
s 15250
 
8.7%
e 13026
 
7.4%
o 12857
 
7.3%
r 11800
 
6.7%
u 10672
 
6.1%
n 10435
 
5.9%
l 9976
 
5.7%
t 9183
 
5.2%
Other values (16) 41490
23.6%
Uppercase Letter
ValueCountFrequency (%)
P 1370
13.2%
C 1336
12.9%
A 1211
11.7%
S 854
 
8.2%
L 642
 
6.2%
M 604
 
5.8%
E 581
 
5.6%
H 522
 
5.0%
T 506
 
4.9%
D 406
 
3.9%
Other values (16) 2336
22.5%
Decimal Number
ValueCountFrequency (%)
1 13
23.2%
9 12
21.4%
7 9
16.1%
0 6
10.7%
2 4
 
7.1%
6 4
 
7.1%
8 3
 
5.4%
4 3
 
5.4%
3 1
 
1.8%
5 1
 
1.8%
Other Punctuation
ValueCountFrequency (%)
. 357
93.0%
, 14
 
3.6%
& 13
 
3.4%
Space Separator
ValueCountFrequency (%)
10908
> 99.9%
　 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 49
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 185920
94.2%
Common 11447
 
5.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 22330
12.0%
i 18533
 
10.0%
s 15250
 
8.2%
e 13026
 
7.0%
o 12857
 
6.9%
r 11800
 
6.3%
u 10672
 
5.7%
n 10435
 
5.6%
l 9976
 
5.4%
t 9183
 
4.9%
Other values (42) 51858
27.9%
Common
ValueCountFrequency (%)
10908
95.3%
. 357
 
3.1%
( 49
 
0.4%
) 49
 
0.4%
, 14
 
0.1%
1 13
 
0.1%
& 13
 
0.1%
9 12
 
0.1%
7 9
 
0.1%
0 6
 
0.1%
Other values (7) 17
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 197366
> 99.9%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 22330
 
11.3%
i 18533
 
9.4%
s 15250
 
7.7%
e 13026
 
6.6%
o 12857
 
6.5%
r 11800
 
6.0%
10908
 
5.5%
u 10672
 
5.4%
n 10435
 
5.3%
l 9976
 
5.1%
Other values (58) 61579
31.2%
None
ValueCountFrequency (%)
　 1
100.0%

명명자
Text

MISSING 

Distinct5861
Distinct (%)64.3%
Missing886
Missing (%)8.9%
Memory size156.2 KiB
2023-12-13T00:01:32.724232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length90
Median length57
Mean length12.571429
Min length2

Characters and Unicode

Total characters114576
Distinct characters78
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4726 ?
Unique (%)51.9%

Sample

1st rowYamanaka
2nd row(Grunow) Ludwig & Flores
3rd rowBurds
4th rowBuckton 1876
5th rowGrunow, 1863
ValueCountFrequency (%)
768
 
4.0%
l 313
 
1.6%
linnaeus 210
 
1.1%
nakai 200
 
1.0%
lee 177
 
0.9%
kim 176
 
0.9%
et 166
 
0.9%
butler 150
 
0.8%
1758 147
 
0.8%
ex 144
 
0.7%
Other values (3233) 16863
87.3%
2023-12-13T00:01:33.499170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10221
 
8.9%
a 6931
 
6.0%
e 6850
 
6.0%
1 6480
 
5.7%
r 4673
 
4.1%
i 4540
 
4.0%
n 4035
 
3.5%
( 3993
 
3.5%
) 3986
 
3.5%
9 3822
 
3.3%
Other values (68) 59045
51.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 56540
49.3%
Decimal Number 22597
 
19.7%
Uppercase Letter 12749
 
11.1%
Space Separator 10221
 
8.9%
Other Punctuation 4387
 
3.8%
Open Punctuation 4042
 
3.5%
Close Punctuation 4035
 
3.5%
Other Letter 4
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 6931
12.3%
e 6850
12.1%
r 4673
 
8.3%
i 4540
 
8.0%
n 4035
 
7.1%
o 3441
 
6.1%
s 3026
 
5.4%
l 2844
 
5.0%
u 2740
 
4.8%
t 2671
 
4.7%
Other values (16) 14789
26.2%
Uppercase Letter
ValueCountFrequency (%)
S 1302
 
10.2%
L 1219
 
9.6%
M 1165
 
9.1%
K 1074
 
8.4%
B 942
 
7.4%
H 859
 
6.7%
C 586
 
4.6%
P 570
 
4.5%
T 560
 
4.4%
F 484
 
3.8%
Other values (16) 3988
31.3%
Decimal Number
ValueCountFrequency (%)
1 6480
28.7%
9 3822
16.9%
8 3694
16.3%
7 1829
 
8.1%
0 1288
 
5.7%
5 1217
 
5.4%
6 1179
 
5.2%
3 1157
 
5.1%
2 1021
 
4.5%
4 910
 
4.0%
Other Punctuation
ValueCountFrequency (%)
. 3128
71.3%
& 734
 
16.7%
, 454
 
10.3%
; 47
 
1.1%
' 21
 
0.5%
: 3
 
0.1%
Other Letter
ValueCountFrequency (%)
비 1
25.0%
어 1
25.0%
있 1
25.0%
음 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 3993
98.8%
[ 49
 
1.2%
Close Punctuation
ValueCountFrequency (%)
) 3986
98.8%
] 49
 
1.2%
Space Separator
ValueCountFrequency (%)
10221
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 69290
60.5%
Common 45282
39.5%
Hangul 4
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 6931
 
10.0%
e 6850
 
9.9%
r 4673
 
6.7%
i 4540
 
6.6%
n 4035
 
5.8%
o 3441
 
5.0%
s 3026
 
4.4%
l 2844
 
4.1%
u 2740
 
4.0%
t 2671
 
3.9%
Other values (43) 27539
39.7%
Common
ValueCountFrequency (%)
10221
22.6%
1 6480
14.3%
( 3993
 
8.8%
) 3986
 
8.8%
9 3822
 
8.4%
8 3694
 
8.2%
. 3128
 
6.9%
7 1829
 
4.0%
0 1288
 
2.8%
5 1217
 
2.7%
Other values (11) 5624
12.4%
Hangul
ValueCountFrequency (%)
비 1
25.0%
어 1
25.0%
있 1
25.0%
음 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 114571
> 99.9%
Hangul 4
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10221
 
8.9%
a 6931
 
6.0%
e 6850
 
6.0%
1 6480
 
5.7%
r 4673
 
4.1%
i 4540
 
4.0%
n 4035
 
3.5%
( 3993
 
3.5%
) 3986
 
3.5%
9 3822
 
3.3%
Other values (63) 59040
51.5%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%
Hangul
ValueCountFrequency (%)
비 1
25.0%
어 1
25.0%
있 1
25.0%
음 1
25.0%

멸종위기생물1급
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.1%
Missing6038
Missing (%)60.4%
Memory size97.7 KiB
False
3943 
True
 
19
(Missing)
6038 
ValueCountFrequency (%)
False 3943
39.4%
True 19
 
0.2%
(Missing) 6038
60.4%
2023-12-13T00:01:33.629758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

멸종위기생물2급
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.1%
Missing6032
Missing (%)60.3%
Memory size97.7 KiB
False
3934 
True
 
34
(Missing)
6032 
ValueCountFrequency (%)
False 3934
39.3%
True 34
 
0.3%
(Missing) 6032
60.3%
2023-12-13T00:01:33.738855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

천연기념물
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.1%
Missing6028
Missing (%)60.3%
Memory size97.7 KiB
False
3948 
True
 
24
(Missing)
6028 
ValueCountFrequency (%)
False 3948
39.5%
True 24
 
0.2%
(Missing) 6028
60.3%
2023-12-13T00:01:33.837933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

고유종
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.1%
Missing6033
Missing (%)60.3%
Memory size97.7 KiB
False
3868 
True
 
99
(Missing)
6033 
ValueCountFrequency (%)
False 3868
38.7%
True 99
 
1.0%
(Missing) 6033
60.3%
2023-12-13T00:01:33.954541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

국외반출승인대상종
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.1%
Missing6003
Missing (%)60.0%
Memory size97.7 KiB
False
3723 
True
 
274
(Missing)
6003 
ValueCountFrequency (%)
False 3723
37.2%
True 274
 
2.7%
(Missing) 6003
60.0%
2023-12-13T00:01:34.082978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

희귀식물
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.1%
Missing6051
Missing (%)60.5%
Memory size97.7 KiB
False
3823 
True
 
126
(Missing)
6051 
ValueCountFrequency (%)
False 3823
38.2%
True 126
 
1.3%
(Missing) 6051
60.5%
2023-12-13T00:01:34.190225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

특산식물
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.1%
Missing6051
Missing (%)60.5%
Memory size97.7 KiB
False
3870 
True
 
79
(Missing)
6051 
ValueCountFrequency (%)
False 3870
38.7%
True 79
 
0.8%
(Missing) 6051
60.5%
2023-12-13T00:01:34.318082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

깃대종
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.1%
Missing6042
Missing (%)60.4%
Memory size97.7 KiB
False
3940 
True
 
18
(Missing)
6042 
ValueCountFrequency (%)
False 3940
39.4%
True 18
 
0.2%
(Missing) 6042
60.4%
2023-12-13T00:01:34.413163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

특정식물
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.2%
Missing6602
Missing (%)66.0%
Infinite0
Infinite (%)0.0%
Mean0.21748087
Minimum0
Maximum5
Zeros3161
Zeros (%)31.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T00:01:34.515410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.87389808
Coefficient of variation (CV)4.0182756
Kurtosis16.835124
Mean0.21748087
Median Absolute Deviation (MAD)0
Skewness4.1951685
Sum739
Variance0.76369786
MonotonicityNot monotonic
2023-12-13T00:01:34.632816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 3161
31.6%
3 71
 
0.7%
4 55
 
0.5%
1 51
 
0.5%
5 45
 
0.4%
2 15
 
0.1%
(Missing) 6602
66.0%
ValueCountFrequency (%)
0 3161
31.6%
1 51
 
0.5%
2 15
 
0.1%
3 71
 
0.7%
4 55
 
0.5%
5 45
 
0.4%
ValueCountFrequency (%)
5 45
 
0.4%
4 55
 
0.5%
3 71
 
0.7%
2 15
 
0.1%
1 51
 
0.5%
0 3161
31.6%

생태계교란생물
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.1%
Missing6051
Missing (%)60.5%
Memory size97.7 KiB
False
3944 
True
 
5
(Missing)
6051 
ValueCountFrequency (%)
False 3944
39.4%
True 5
 
0.1%
(Missing) 6051
60.5%
2023-12-13T00:01:34.746034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

외래생물
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.1%
Missing6051
Missing (%)60.5%
Memory size97.7 KiB
False
3863 
True
 
86
(Missing)
6051 
ValueCountFrequency (%)
False 3863
38.6%
True 86
 
0.9%
(Missing) 6051
60.5%
2023-12-13T00:01:34.841050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

우선관리생물
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.1%
Missing6051
Missing (%)60.5%
Memory size97.7 KiB
False
3940 
True
 
9
(Missing)
6051 
ValueCountFrequency (%)
False 3940
39.4%
True 9
 
0.1%
(Missing) 6051
60.5%
2023-12-13T00:01:34.930520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

작성자
Categorical

IMBALANCE 

Distinct16
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9825 
김한진
 
67
박세영
 
65
국슬아
 
11
송병용
 
7
Other values (11)
 
25

Length

Max length4
Median length4
Mean length3.9825
Min length3

Unique

Unique5 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9825
98.2%
김한진 67
 
0.7%
박세영 65
 
0.7%
국슬아 11
 
0.1%
송병용 7
 
0.1%
권재환 6
 
0.1%
이수정 4
 
< 0.1%
권진만 4
 
< 0.1%
이석우 2
 
< 0.1%
곽형진 2
 
< 0.1%
Other values (6) 7
 
0.1%

Length

2023-12-13T00:01:35.090558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 9825
98.2%
김한진 67
 
0.7%
박세영 65
 
0.7%
국슬아 11
 
0.1%
송병용 7
 
0.1%
권재환 6
 
0.1%
이수정 4
 
< 0.1%
권진만 4
 
< 0.1%
이석우 2
 
< 0.1%
곽형진 2
 
< 0.1%
Other values (6) 7
 
0.1%

승인자
Categorical

IMBALANCE 

Distinct26
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9040 
곽형진
 
358
정승준
 
112
이수정
 
105
노형수
 
80
Other values (21)
 
305

Length

Max length4
Median length4
Mean length3.9018
Min length2

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9040
90.4%
곽형진 358
 
3.6%
정승준 112
 
1.1%
이수정 105
 
1.1%
노형수 80
 
0.8%
서은경 59
 
0.6%
이지희 48
 
0.5%
채병수 45
 
0.4%
박은희 35
 
0.4%
노일 22
 
0.2%
Other values (16) 96
 
1.0%

Length

2023-12-13T00:01:35.288663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 9040
90.4%
곽형진 358
 
3.6%
정승준 112
 
1.1%
이수정 105
 
1.1%
노형수 80
 
0.8%
서은경 59
 
0.6%
이지희 48
 
0.5%
채병수 45
 
0.4%
박은희 35
 
0.4%
노일 22
 
0.2%
Other values (16) 96
 
1.0%

특징
Text

MISSING 

Distinct3452
Distinct (%)98.8%
Missing6506
Missing (%)65.1%
Memory size156.2 KiB
2023-12-13T00:01:35.591897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length495.5
Mean length235.23297
Min length6

Characters and Unicode

Total characters821904
Distinct characters1508
Distinct categories14 ?
Distinct scripts5 ?
Distinct blocks13 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3424 ?
Unique (%)98.0%

Sample

1st row형태 : D 62~75; A 45~55;LL 71~105 몸은 체폭이 넓은 타원형이다. 눈 지름은 주둥이 길이보다 짧고 두 눈 사이는 약간 융기되었다. 주둥이는 뾰족하고 아래턱이 위턱보다 돌출되었다. 등지느러미는 눈 위쪽에서 시작되어 미병부까지 길게 이어지고 측선은 아가미구멍 뒤에서 꼬리지느러미 앞까지 거의 직선으로 이어진다. 유안측의 등과 배에 돌과 같이 단단한 돌기물이 있으며 비늘은 없다. 유안측은 황갈색 또는 진한 녹갈색 무안측은 흰색을 띤다. 전장 약 50cm. 생태 : 수심 70~300m의 얕은 모랫바닥이나 개펄 바닥에 서식하며 게 새우 다모류 등의 무척추동물과 작은 어류를 먹는다. 분포 : 우리나라 전 해역 일본 사할린 중국 타이완
2nd row길이: 유시충: 3.8mm 무시충: 4.4mm 서식지: 한국일본타이완
3rd row형태 세포는 느슨하게 연결되어 군체를 형성한다. 개각면은 타원형으로 표면은 편평하다. 강모는 개각의 주변에서 나오는데 가늘고 인접세포의 강모와 교차한다. 생태 연안종으로 온대 지역에 출현한다
4th row우리나라 전 연안에 분포하며 수심 5~20m 정도의 암반 또는 큰 자갈 조하대에서 비교적 흔히 발견되는 패각길이 7cm 전후의 초식성 중형 고둥류이다. 개체에 따라 패각 표면에 강한 가시형 돌기가 있는 개체와 없는 개체가 있는데 가시 유무의 변이 요인에 대해서는 아직까지 명확히 밝혀진 바가 없다. 강한 야행성으로 낮 동안에는 바위 틈이나 큰 자갈 아래에 숨어 있다가 주로 야간에 섭식활동을 한다.
5th row몸길이는 암컷이 2.5mmsodhl로 복부는 회색이고 배갑은 등황색이다. 외부 생식기가 있는 부분이 돌출되어 있다. 다리식은 1324이고 지수는 100: 77: 92: 71이다. 성체는 1년동안 출현하며 고목의 수피아래 돌더미 등에 불규칙한 그물을 친다.
ValueCountFrequency (%)
있다 3189
 
1.7%
길이 3039
 
1.6%
털이 1929
 
1.0%
있으며 1416
 
0.7%
있고 1408
 
0.7%
또는 1293
 
0.7%
1212
 
0.6%
잎은 1062
 
0.6%
형태 1008
 
0.5%
긴 913
 
0.5%
Other values (29245) 175433
91.4%
2023-12-13T00:01:36.071421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
191999
 
23.4%
이 30833
 
3.8%
. 19323
 
2.4%
다 18854
 
2.3%
은 15610
 
1.9%
에 14278
 
1.7%
는 13789
 
1.7%
고 12947
 
1.6%
가 11707
 
1.4%
로 11324
 
1.4%
Other values (1498) 481240
58.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 542901
66.1%
Space Separator 191999
 
23.4%
Decimal Number 34473
 
4.2%
Other Punctuation 24386
 
3.0%
Lowercase Letter 17398
 
2.1%
Math Symbol 5131
 
0.6%
Close Punctuation 1641
 
0.2%
Open Punctuation 1640
 
0.2%
Other Symbol 1116
 
0.1%
Uppercase Letter 1000
 
0.1%
Other values (4) 219
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 30833
 
5.7%
다 18854
 
3.5%
은 15610
 
2.9%
에 14278
 
2.6%
는 13789
 
2.5%
고 12947
 
2.4%
가 11707
 
2.2%
로 11324
 
2.1%
며 11267
 
2.1%
색 9316
 
1.7%
Other values (1372) 392976
72.4%
Lowercase Letter
ValueCountFrequency (%)
m 10992
63.2%
c 3080
 
17.7%
o 492
 
2.8%
a 415
 
2.4%
r 332
 
1.9%
e 287
 
1.6%
i 260
 
1.5%
t 203
 
1.2%
l 190
 
1.1%
n 182
 
1.0%
Other values (17) 965
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
A 175
17.5%
E 114
11.4%
L 102
10.2%
D 92
9.2%
P 86
8.6%
M 57
 
5.7%
N 50
 
5.0%
T 42
 
4.2%
R 34
 
3.4%
K 34
 
3.4%
Other values (16) 214
21.4%
Other Punctuation
ValueCountFrequency (%)
. 19323
79.2%
: 3185
 
13.1%
· 678
 
2.8%
; 567
 
2.3%
/ 311
 
1.3%
" 155
 
0.6%
： 112
 
0.5%
# 16
 
0.1%
? 16
 
0.1%
' 7
 
< 0.1%
Other values (4) 16
 
0.1%
Other Symbol
ValueCountFrequency (%)
□ 451
40.4%
㎝ 287
25.7%
○ 160
 
14.3%
㎜ 126
 
11.3%
㎛ 35
 
3.1%
▶ 28
 
2.5%
㎏ 8
 
0.7%
㎞ 7
 
0.6%
㎢ 5
 
0.4%
℃ 3
 
0.3%
Other values (4) 6
 
0.5%
Math Symbol
ValueCountFrequency (%)
~ 4243
82.7%
∼ 667
 
13.0%
～ 75
 
1.5%
| 41
 
0.8%
× 36
 
0.7%
+ 23
 
0.4%
< 15
 
0.3%
= 14
 
0.3%
> 8
 
0.2%
＜ 3
 
0.1%
Other values (3) 6
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅰ 45
25.7%
Ⅹ 29
16.6%
Ⅲ 27
15.4%
Ⅱ 26
14.9%
Ⅷ 12
 
6.9%
Ⅶ 10
 
5.7%
Ⅳ 8
 
4.6%
Ⅸ 6
 
3.4%
Ⅵ 6
 
3.4%
Ⅴ 4
 
2.3%
Decimal Number
ValueCountFrequency (%)
1 6608
19.2%
5 5123
14.9%
2 4719
13.7%
0 4390
12.7%
3 3828
11.1%
4 2515
 
7.3%
6 2199
 
6.4%
8 2051
 
5.9%
7 1935
 
5.6%
9 1105
 
3.2%
Close Punctuation
ValueCountFrequency (%)
) 1547
94.3%
] 94
 
5.7%
Open Punctuation
ValueCountFrequency (%)
( 1546
94.3%
[ 94
 
5.7%
Initial Punctuation
ValueCountFrequency (%)
‘ 21
91.3%
“ 2
 
8.7%
Final Punctuation
ValueCountFrequency (%)
’ 15
88.2%
” 2
 
11.8%
Modifier Symbol
ValueCountFrequency (%)
` 3
75.0%
^ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
191999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 541245
65.9%
Common 260430
31.7%
Latin 18569
 
2.3%
Han 1656
 
0.2%
Greek 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 30833
 
5.7%
다 18854
 
3.5%
은 15610
 
2.9%
에 14278
 
2.6%
는 13789
 
2.5%
고 12947
 
2.4%
가 11707
 
2.2%
로 11324
 
2.1%
며 11267
 
2.1%
색 9316
 
1.7%
Other values (1053) 391320
72.3%
Han
ValueCountFrequency (%)
花 258
 
15.6%
莖 160
 
9.7%
穗 82
 
5.0%
小 67
 
4.0%
狀 44
 
2.7%
穎 37
 
2.2%
毛 34
 
2.1%
雌 28
 
1.7%
果 27
 
1.6%
頭 25
 
1.5%
Other values (309) 894
54.0%
Latin
ValueCountFrequency (%)
m 10992
59.2%
c 3080
 
16.6%
o 492
 
2.6%
a 415
 
2.2%
r 332
 
1.8%
e 287
 
1.5%
i 260
 
1.4%
t 203
 
1.1%
l 190
 
1.0%
n 182
 
1.0%
Other values (53) 2136
 
11.5%
Common
ValueCountFrequency (%)
191999
73.7%
. 19323
 
7.4%
1 6608
 
2.5%
5 5123
 
2.0%
2 4719
 
1.8%
0 4390
 
1.7%
~ 4243
 
1.6%
3 3828
 
1.5%
: 3185
 
1.2%
4 2515
 
1.0%
Other values (52) 14497
 
5.6%
Greek
ValueCountFrequency (%)
μ 4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 541224
65.9%
ASCII 276089
33.6%
CJK 1614
 
0.2%
None 913
 
0.1%
Math Operators 670
 
0.1%
Geometric Shapes 639
 
0.1%
CJK Compat 468
 
0.1%
Number Forms 175
 
< 0.1%
Punctuation 42
 
< 0.1%
CJK Compat Ideographs 42
 
< 0.1%
Other values (3) 28
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
191999
69.5%
. 19323
 
7.0%
m 10992
 
4.0%
1 6608
 
2.4%
5 5123
 
1.9%
2 4719
 
1.7%
0 4390
 
1.6%
~ 4243
 
1.5%
3 3828
 
1.4%
: 3185
 
1.2%
Other values (76) 21679
 
7.9%
Hangul
ValueCountFrequency (%)
이 30833
 
5.7%
다 18854
 
3.5%
은 15610
 
2.9%
에 14278
 
2.6%
는 13789
 
2.5%
고 12947
 
2.4%
가 11707
 
2.2%
로 11324
 
2.1%
며 11267
 
2.1%
색 9316
 
1.7%
Other values (1041) 391299
72.3%
None
ValueCountFrequency (%)
· 678
74.3%
： 112
 
12.3%
～ 75
 
8.2%
× 36
 
3.9%
μ 4
 
0.4%
＜ 3
 
0.3%
＝ 3
 
0.3%
° 2
 
0.2%
Math Operators
ValueCountFrequency (%)
∼ 667
99.6%
∩ 2
 
0.3%
∞ 1
 
0.1%
Geometric Shapes
ValueCountFrequency (%)
□ 451
70.6%
○ 160
 
25.0%
▶ 28
 
4.4%
CJK Compat
ValueCountFrequency (%)
㎝ 287
61.3%
㎜ 126
26.9%
㎛ 35
 
7.5%
㎏ 8
 
1.7%
㎞ 7
 
1.5%
㎢ 5
 
1.1%
CJK
ValueCountFrequency (%)
花 258
 
16.0%
莖 160
 
9.9%
穗 82
 
5.1%
小 67
 
4.2%
狀 44
 
2.7%
穎 37
 
2.3%
毛 34
 
2.1%
雌 28
 
1.7%
果 27
 
1.7%
頭 25
 
1.5%
Other values (294) 852
52.8%
Number Forms
ValueCountFrequency (%)
Ⅰ 45
25.7%
Ⅹ 29
16.6%
Ⅲ 27
15.4%
Ⅱ 26
14.9%
Ⅷ 12
 
6.9%
Ⅶ 10
 
5.7%
Ⅳ 8
 
4.6%
Ⅸ 6
 
3.4%
Ⅵ 6
 
3.4%
Ⅴ 4
 
2.3%
Punctuation
ValueCountFrequency (%)
‘ 21
50.0%
’ 15
35.7%
‰ 2
 
4.8%
“ 2
 
4.8%
” 2
 
4.8%
CJK Compat Ideographs
ValueCountFrequency (%)
裂 10
23.8%
狀 7
16.7%
兩 6
14.3%
鱗 5
11.9%
金 2
 
4.8%
肋 2
 
4.8%
菱 2
 
4.8%
老 1
 
2.4%
寧 1
 
2.4%
列 1
 
2.4%
Other values (5) 5
11.9%
Compat Jamo
ValueCountFrequency (%)
ㄴ 5
23.8%
ㄱ 2
 
9.5%
ㆍ 2
 
9.5%
ㅡ 2
 
9.5%
ㅂ 2
 
9.5%
ㅗ 2
 
9.5%
ㅐ 1
 
4.8%
ㅇ 1
 
4.8%
ㅏ 1
 
4.8%
ㅕ 1
 
4.8%
Other values (2) 2
 
9.5%
Letterlike Symbols
ValueCountFrequency (%)
℃ 3
100.0%
Misc Symbols
ValueCountFrequency (%)
♀ 2
50.0%
♂ 1
25.0%
♣ 1
25.0%

관리구분
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
4261 
국가생물종
3779 
해당없음
1402 
공단관리종
558 

Length

Max length5
Median length4
Mean length4.4337
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4261
42.6%
국가생물종 3779
37.8%
해당없음 1402
 
14.0%
공단관리종 558
 
5.6%

Length

2023-12-13T00:01:36.183542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:01:36.282446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4261
42.6%
국가생물종 3779
37.8%
해당없음 1402
 
14.0%
공단관리종 558
 
5.6%

등록구분
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
6214 
기존
3785 
미등록
 
1

Length

Max length4
Median length4
Mean length3.2429
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 6214
62.1%
기존 3785
37.9%
미등록 1
 
< 0.1%

Length

2023-12-13T00:01:36.414428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:01:36.515663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6214
62.1%
기존 3785
37.9%
미등록 1
 
< 0.1%

Sample

번호종코드분류명문코드강코드목코드과코드속코드국명학명명명자멸종위기생물1급멸종위기생물2급천연기념물고유종국외반출승인대상종희귀식물특산식물깃대종특정식물생태계교란생물외래생물우선관리생물작성자승인자특징관리구분등록구분
129701297128896곤충류절지동물문곤충강나비목명나방과<NA>황색띠알락명나방Acrobasis flavifasciellaYamanaka<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>해당없음<NA>
13842138436318담수조류<NA><NA><NA><NA><NA>국명미상Fragilaria capucina var. fragilarioides(Grunow) Ludwig & FloresNNNNNNNN<NA>NNN<NA><NA><NA>공단관리종기존
50650728010고등균류담자균문주름버섯강구멍장이버섯목유색고약버섯과유색고약버섯속무성유색고약버섯Phanerochaete chrysosporiumBurds<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
19740197415400어류척삭동물문조기강농어목망둑어과사백어속사백어Leucopsarion petersii<NA>NNNNNNNN0NNN<NA>노형수형태 : D 62~75; A 45~55;LL 71~105 몸은 체폭이 넓은 타원형이다. 눈 지름은 주둥이 길이보다 짧고 두 눈 사이는 약간 융기되었다. 주둥이는 뾰족하고 아래턱이 위턱보다 돌출되었다. 등지느러미는 눈 위쪽에서 시작되어 미병부까지 길게 이어지고 측선은 아가미구멍 뒤에서 꼬리지느러미 앞까지 거의 직선으로 이어진다. 유안측의 등과 배에 돌과 같이 단단한 돌기물이 있으며 비늘은 없다. 유안측은 황갈색 또는 진한 녹갈색 무안측은 흰색을 띤다. 전장 약 50cm. 생태 : 수심 70~300m의 얕은 모랫바닥이나 개펄 바닥에 서식하며 게 새우 다모류 등의 무척추동물과 작은 어류를 먹는다. 분포 : 우리나라 전 해역 일본 사할린 중국 타이완국가생물종<NA>
177881778926949식물상현화식물문목련강콩목콩과황기속제주황기Astragalus membranaceus var. alpinus Nakai<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>해당없음<NA>
2324232515392곤충류절지동물문곤충강노린재목진딧물과볼록진딧물속고사리볼록진딧물Amphorophora ampullataBuckton 1876<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>길이: 유시충: 3.8mm 무시충: 4.4mm 서식지: 한국일본타이완<NA><NA>
276862768714505해양식물플랑크톤<NA><NA><NA><NA><NA>국명미상Chaetoceros lorenzianusGrunow, 1863NNNNNNNN<NA>NNN<NA><NA>형태 세포는 느슨하게 연결되어 군체를 형성한다. 개각면은 타원형으로 표면은 편평하다. 강모는 개각의 주변에서 나오는데 가늘고 인접세포의 강모와 교차한다. 생태 연안종으로 온대 지역에 출현한다공단관리종<NA>
24219242207792저서성대형무척추동물<NA><NA><NA><NA><NA>소라Batillus cornutus(Lightfoot)NNNNNNNN0NNN<NA>김용민우리나라 전 연안에 분포하며 수심 5~20m 정도의 암반 또는 큰 자갈 조하대에서 비교적 흔히 발견되는 패각길이 7cm 전후의 초식성 중형 고둥류이다. 개체에 따라 패각 표면에 강한 가시형 돌기가 있는 개체와 없는 개체가 있는데 가시 유무의 변이 요인에 대해서는 아직까지 명확히 밝혀진 바가 없다. 강한 야행성으로 낮 동안에는 바위 틈이나 큰 자갈 아래에 숨어 있다가 주로 야간에 섭식활동을 한다.공단관리종기존
248402484112501저서성대형무척추동물절지동물문갑각강천장입요각목청옥검물벼룩과<NA>오팔청옥검물벼룩Sapphirina opalinaDana 1849<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>국가생물종기존
4008400929374곤충류절지동물문곤충강딱정벌레목거저리과진주거저리속나도진주거저리Platydema recticorneLewis<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>해당없음<NA>
번호종코드분류명문코드강코드목코드과코드속코드국명학명명명자멸종위기생물1급멸종위기생물2급천연기념물고유종국외반출승인대상종희귀식물특산식물깃대종특정식물생태계교란생물외래생물우선관리생물작성자승인자특징관리구분등록구분
261052610613120저서성대형무척추동물절지동물문거미강거미목갈거미과갈거미속큰배갈거미Tetragnatha extensa(Linnaeus, 1758)NNNNNNNN0NNN<NA><NA>체장은 암컷 8 12mm 수컷6 9mm 내외이다. 두흉부는 황갈색으로 가장자리와 홈줄은 암갈색이다. 흉판은 암갈색으로 전반부 중앙에 밝은황색 세로무늬가 있다. 눈은 8눈이 2열로 전안열은 곧고 후안열은 뒷굽음이며 전중안 사이가 측안과의 사이보다 좁고 후안열은 같은 거리로 배열한다. 위턱은 갈색으로 앞두둑니 8 9개이다. 다리는 황갈색으로 작은 가시털이 나있다. 1번째다리가 장대하다. 복부는 폭이 길다. 등면은 황록색 내지는 백색으로 정중부가 은빛 비늘무늬로 덮였으며 그 양측은 은빛이다. 실젖 돌기 양측에도 계란모양의 은빛 무늬가 있다. 물가 풀숲 등에도 수평 원형그물은 치고 있으며 성숙기는 7 8월이다. 한국 일본 중국 러시아 등지의 구북부에 분포한다.<NA><NA>
17453174543872식물상현화식물문목련강현삼목현삼과우단담배풀속우단담배풀Verbascum thapsusL. 1753<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>□형태 잎 :잎은 밑부분이 원줄기을 완전히 둘러싸고 선형이며 가장자리의 잔톱니가 딱딱하고 포면은 녹색이며 중륵은 백색이고 털이 있는 것도 있음 열매 :열매는 포영으로 싸여 있는데 약간 딱딱하고 끝이 뽀족하며 가장자리와 끝이 막질이고 내영은 끝이 2개로 갈라지며 까락이 있음 꽃 :꽃은 9월에 피며 화수(花穗)는중축은 花序 分枝(화서분지)길이의 1/2이하임 줄기 : 장대(壯大)하며 원주형이고 곧게 섬 □분포 한국 중국 일본 등지에 분포하며 우리나라 전국에에 분포해당없음기존
233872338811978저서성대형무척추동물절지동물문거미강거미목늑대거미과부이표늑대거미방울늑대거미Pirata yaginumaiTanaka, 1974NNNNNNNN0NNN<NA><NA>o몸길이;암5~7mm 수4~6mm o출현기;5~9월 o분포;한국 일본 중국 러시아 등 배갑은 황갈색 바탕에 정중부의 V자무늬와 양 옆줄무늬는 엷은 흑회색이다. 가슴홈은 적갈색이고 방사홈은 흑회색이나 목홈은 뚜렷하지 않다. 위턱은 황갈색이며 앞두덩니와 뒷두덩니가 각각 3개씩이며 가운뎃니가 매우 크다. 가슴판은 엷은 흑회색 바탕에 노란색의 중앙 줄무늬와 양 옆면에 3~4쌍의 점무늬가 있다. 다리는 황갈색이며 넓적다리마디와 종아리마디에 2~3개의 고리무늬가 있다. 배는 긴 타원형으로 흑회색 바탕에 노란색의 염통무늬와 몇 쌍의 八자무늬가 있고 배 밑면은 황갈색이다. 평야 초원을 배회한다.<NA><NA>
100071000824601곤충류절지동물문곤충강딱정벌레목병대벌레과<NA>우리산병대벌레Rhagonycha coreanaPic 1921<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3031303223628곤충류절지동물문곤충강나비목가는나방과<NA>굴참가는나방Phyllonorycter nipponicella(Issiki) 1930<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>수원치악산 일본러시아 분포 앞날개 기부로부터 3개의 은백색 세로줄이 있음.<NA><NA>
23055230569327저서성대형무척추동물연체동물문복족강진유폐목입술대고둥과<NA>목포입술대고둥Euphaedusa mokpoensis(Pilsbry & Hirase 1909)NNNNNNNN0NNN<NA><NA><NA>국가생물종기존
249112491212563저서성대형무척추동물절지동물문지네강땅지네목땅지네과<NA>왜스콜리땅지네Scoliplanes japonnicusVerhoeff<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>국가생물종기존
2072207323491곤충류절지동물문곤충강파리목집파리과가시꽃파리속검정볼기가시꽃파리Phaonia nigrogeniculataShinonaga & Kano 1971<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6395639624991곤충류절지동물문곤충강강도래목민날개강도래과민날개강도래속민날개강도래Scopura laminataUchida<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>곽형진○ 형태 몸길이 25mm 내외 체색은 짙은 갈색 홑눈은 없고 머리 정수리에 삼각형으로 패어있음 앞가슴의 끝이 돌출되어 있으며 배마디등판에 밝은 색의 V자 무늬가 있음 제10배마디에 아가미술이 있음 ○ 서식처 수온이 낮고 용존산소가 풍부한 고산의 산간에서 서식 물속에서 부식성 낙엽을 갉아 먹음공단관리종<NA>
125151251622555곤충류절지동물문곤충강딱정벌레목하늘소붙이과<NA>하늘소붙이Oedemera luridaMarsh 1802<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>