Overview

Dataset statistics

Number of variables9
Number of observations139
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.2 KiB
Average record size in memory74.9 B

Variable types

Numeric2
Text5
Categorical2

Dataset

Description환경부 국립생물자원관_국가책임기관에서 제공하는 국가별 ABS 정보 및 기관정보 내 국가책임기관 정보입니다.업무체계는 환경-자연 이며, 키워드로는 ABS, 법령, 기관이 있습니다.
Author환경부 국립생물자원관
URLhttps://www.data.go.kr/data/15090071/fileData.do

Alerts

책임기관_추가데이터1 has constant value ""Constant
책임기관_추가데이터2 has constant value ""Constant
책임기관_번호 is highly overall correlated with 국가_번호High correlation
국가_번호 is highly overall correlated with 책임기관_번호High correlation
책임기관_번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:40:45.340507
Analysis finished2023-12-12 04:40:47.508242
Duration2.17 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

책임기관_번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct139
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.402878
Minimum1
Maximum156
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T13:40:47.620103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.9
Q138.5
median74
Q3108.5
95-th percentile136.1
Maximum156
Range155
Interquartile range (IQR)70

Descriptive statistics

Standard deviation41.881773
Coefficient of variation (CV)0.57057399
Kurtosis-1.1150722
Mean73.402878
Median Absolute Deviation (MAD)35
Skewness-0.010052564
Sum10203
Variance1754.0829
MonotonicityNot monotonic
2023-12-12T13:40:47.823147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 1
 
0.7%
155 1
 
0.7%
106 1
 
0.7%
107 1
 
0.7%
108 1
 
0.7%
109 1
 
0.7%
110 1
 
0.7%
111 1
 
0.7%
156 1
 
0.7%
104 1
 
0.7%
Other values (129) 129
92.8%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
156 1
0.7%
155 1
0.7%
147 1
0.7%
144 1
0.7%
139 1
0.7%
138 1
0.7%
137 1
0.7%
136 1
0.7%
135 1
0.7%
134 1
0.7%

국가_번호
Real number (ℝ)

HIGH CORRELATION 

Distinct90
Distinct (%)64.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.47482
Minimum1
Maximum90
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T13:40:48.031645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.9
Q126.5
median55
Q370
95-th percentile88.1
Maximum90
Range89
Interquartile range (IQR)43.5

Descriptive statistics

Standard deviation26.222938
Coefficient of variation (CV)0.51952514
Kurtosis-1.2459455
Mean50.47482
Median Absolute Deviation (MAD)22
Skewness-0.24003899
Sum7016
Variance687.64248
MonotonicityNot monotonic
2023-12-12T13:40:48.516900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
70 20
 
14.4%
89 6
 
4.3%
21 6
 
4.3%
30 5
 
3.6%
24 4
 
2.9%
45 3
 
2.2%
66 3
 
2.2%
82 2
 
1.4%
85 2
 
1.4%
88 2
 
1.4%
Other values (80) 86
61.9%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 2
1.4%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
90 1
 
0.7%
89 6
4.3%
88 2
 
1.4%
87 1
 
0.7%
86 1
 
0.7%
85 2
 
1.4%
84 2
 
1.4%
83 1
 
0.7%
82 2
 
1.4%
81 1
 
0.7%
Distinct96
Distinct (%)69.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T13:40:48.766767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length26
Mean length9.9856115
Min length3

Characters and Unicode

Total characters1388
Distinct characters182
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

Unique92 ?
Unique (%)66.2%

Sample

1st row정보없음
2nd row정보없음
3rd row정보없음
4th row환경부 국가지속가능개발협의회 사무국
5th row정보없음
ValueCountFrequency (%)
정보없음 34
 
13.0%
15
 
5.7%
환경부 11
 
4.2%
정부 9
 
3.4%
환경 5
 
1.9%
산하 5
 
1.9%
생물다양성 4
 
1.5%
환경지속가능개발부 3
 
1.1%
자연환경총국 3
 
1.1%
환경과 2
 
0.8%
Other values (162) 171
65.3%
2023-12-12T13:40:49.206369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
123
 
8.9%
64
 
4.6%
64
 
4.6%
63
 
4.5%
56
 
4.0%
51
 
3.7%
51
 
3.7%
36
 
2.6%
35
 
2.5%
34
 
2.4%
Other values (172) 811
58.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1206
86.9%
Space Separator 123
 
8.9%
Uppercase Letter 33
 
2.4%
Other Punctuation 12
 
0.9%
Close Punctuation 6
 
0.4%
Open Punctuation 6
 
0.4%
Lowercase Letter 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
64
 
5.3%
64
 
5.3%
63
 
5.2%
56
 
4.6%
51
 
4.2%
51
 
4.2%
36
 
3.0%
35
 
2.9%
34
 
2.8%
34
 
2.8%
Other values (151) 718
59.5%
Uppercase Letter
ValueCountFrequency (%)
A 5
15.2%
E 3
9.1%
S 3
9.1%
N 3
9.1%
G 3
9.1%
I 3
9.1%
M 2
 
6.1%
C 2
 
6.1%
O 2
 
6.1%
B 2
 
6.1%
Other values (4) 5
15.2%
Other Punctuation
ValueCountFrequency (%)
, 10
83.3%
/ 2
 
16.7%
Space Separator
ValueCountFrequency (%)
123
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Lowercase Letter
ValueCountFrequency (%)
y 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1206
86.9%
Common 148
 
10.7%
Latin 34
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
64
 
5.3%
64
 
5.3%
63
 
5.2%
56
 
4.6%
51
 
4.2%
51
 
4.2%
36
 
3.0%
35
 
2.9%
34
 
2.8%
34
 
2.8%
Other values (151) 718
59.5%
Latin
ValueCountFrequency (%)
A 5
14.7%
E 3
8.8%
S 3
8.8%
N 3
8.8%
G 3
8.8%
I 3
8.8%
M 2
 
5.9%
C 2
 
5.9%
O 2
 
5.9%
B 2
 
5.9%
Other values (5) 6
17.6%
Common
ValueCountFrequency (%)
123
83.1%
, 10
 
6.8%
) 6
 
4.1%
( 6
 
4.1%
/ 2
 
1.4%
- 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1206
86.9%
ASCII 182
 
13.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
123
67.6%
, 10
 
5.5%
) 6
 
3.3%
( 6
 
3.3%
A 5
 
2.7%
E 3
 
1.6%
S 3
 
1.6%
N 3
 
1.6%
G 3
 
1.6%
I 3
 
1.6%
Other values (11) 17
 
9.3%
Hangul
ValueCountFrequency (%)
64
 
5.3%
64
 
5.3%
63
 
5.2%
56
 
4.6%
51
 
4.2%
51
 
4.2%
36
 
3.0%
35
 
2.9%
34
 
2.8%
34
 
2.8%
Other values (151) 718
59.5%
Distinct100
Distinct (%)71.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T13:40:49.515548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length175
Median length90
Mean length43.330935
Min length4

Characters and Unicode

Total characters6023
Distinct characters61
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

Unique97 ?
Unique (%)69.8%

Sample

1st row정보없음
2nd row정보없음
3rd row정보없음
4th rowGeneral Secretariat of the National Council for Sustainable Development, Ministry of Environment
5th row정보없음
ValueCountFrequency (%)
of 118
 
14.4%
and 59
 
7.2%
environment 49
 
6.0%
the 48
 
5.9%
ministry 43
 
5.3%
정보없음 38
 
4.6%
directorate 24
 
2.9%
general 22
 
2.7%
natural 20
 
2.4%
for 17
 
2.1%
Other values (170) 380
46.5%
2023-12-12T13:40:49.989023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
680
 
11.3%
n 536
 
8.9%
e 520
 
8.6%
t 472
 
7.8%
o 426
 
7.1%
i 406
 
6.7%
r 387
 
6.4%
a 369
 
6.1%
s 176
 
2.9%
l 167
 
2.8%
Other values (51) 1884
31.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4470
74.2%
Space Separator 680
 
11.3%
Uppercase Letter 639
 
10.6%
Other Letter 152
 
2.5%
Other Punctuation 30
 
0.5%
Open Punctuation 23
 
0.4%
Close Punctuation 23
 
0.4%
Dash Punctuation 5
 
0.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 536
12.0%
e 520
11.6%
t 472
10.6%
o 426
9.5%
i 406
9.1%
r 387
8.7%
a 369
8.3%
s 176
 
3.9%
l 167
 
3.7%
f 158
 
3.5%
Other values (15) 853
19.1%
Uppercase Letter
ValueCountFrequency (%)
E 88
13.8%
M 74
11.6%
N 62
9.7%
D 55
8.6%
A 53
8.3%
C 42
 
6.6%
G 39
 
6.1%
S 37
 
5.8%
P 36
 
5.6%
I 26
 
4.1%
Other values (13) 127
19.9%
Other Letter
ValueCountFrequency (%)
38
25.0%
38
25.0%
38
25.0%
38
25.0%
Other Punctuation
ValueCountFrequency (%)
, 27
90.0%
& 1
 
3.3%
. 1
 
3.3%
/ 1
 
3.3%
Space Separator
ValueCountFrequency (%)
680
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5109
84.8%
Common 762
 
12.7%
Hangul 152
 
2.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 536
 
10.5%
e 520
 
10.2%
t 472
 
9.2%
o 426
 
8.3%
i 406
 
7.9%
r 387
 
7.6%
a 369
 
7.2%
s 176
 
3.4%
l 167
 
3.3%
f 158
 
3.1%
Other values (38) 1492
29.2%
Common
ValueCountFrequency (%)
680
89.2%
, 27
 
3.5%
( 23
 
3.0%
) 23
 
3.0%
- 5
 
0.7%
3 1
 
0.1%
& 1
 
0.1%
. 1
 
0.1%
/ 1
 
0.1%
Hangul
ValueCountFrequency (%)
38
25.0%
38
25.0%
38
25.0%
38
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5871
97.5%
Hangul 152
 
2.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
680
 
11.6%
n 536
 
9.1%
e 520
 
8.9%
t 472
 
8.0%
o 426
 
7.3%
i 406
 
6.9%
r 387
 
6.6%
a 369
 
6.3%
s 176
 
3.0%
l 167
 
2.8%
Other values (47) 1732
29.5%
Hangul
ValueCountFrequency (%)
38
25.0%
38
25.0%
38
25.0%
38
25.0%
Distinct91
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T13:40:50.260482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length167
Median length102
Mean length38.043165
Min length3

Characters and Unicode

Total characters5288
Distinct characters133
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique90 ?
Unique (%)64.7%

Sample

1st row정보없음
2nd row정보없음
3rd row정보없음
4th row정보없음
5th row정보없음
ValueCountFrequency (%)
de 94
 
12.5%
정보없음 49
 
6.5%
y 26
 
3.5%
la 23
 
3.1%
direccin 19
 
2.5%
medio 18
 
2.4%
general 18
 
2.4%
ambiente 14
 
1.9%
del 13
 
1.7%
natural 10
 
1.3%
Other values (308) 466
62.1%
2023-12-12T13:40:50.673449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
613
 
11.6%
e 518
 
9.8%
i 366
 
6.9%
a 341
 
6.4%
n 296
 
5.6%
r 270
 
5.1%
o 234
 
4.4%
t 231
 
4.4%
d 219
 
4.1%
l 203
 
3.8%
Other values (123) 1997
37.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3577
67.6%
Uppercase Letter 774
 
14.6%
Space Separator 613
 
11.6%
Other Letter 225
 
4.3%
Other Punctuation 36
 
0.7%
Close Punctuation 26
 
0.5%
Open Punctuation 26
 
0.5%
Dash Punctuation 8
 
0.2%
Final Punctuation 2
 
< 0.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
M 73
 
9.4%
N 67
 
8.7%
A 60
 
7.8%
D 58
 
7.5%
G 41
 
5.3%
E 41
 
5.3%
C 39
 
5.0%
S 37
 
4.8%
P 34
 
4.4%
I 31
 
4.0%
Other values (42) 293
37.9%
Lowercase Letter
ValueCountFrequency (%)
e 518
14.5%
i 366
10.2%
a 341
9.5%
n 296
8.3%
r 270
 
7.5%
o 234
 
6.5%
t 231
 
6.5%
d 219
 
6.1%
l 203
 
5.7%
s 167
 
4.7%
Other values (36) 732
20.5%
Other Letter
ValueCountFrequency (%)
51
22.7%
50
22.2%
49
21.8%
49
21.8%
5
 
2.2%
2
 
0.9%
1
 
0.4%
1
 
0.4%
1
 
0.4%
1
 
0.4%
Other values (15) 15
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 26
72.2%
' 8
 
22.2%
. 1
 
2.8%
& 1
 
2.8%
Space Separator
ValueCountFrequency (%)
613
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Final Punctuation
ValueCountFrequency (%)
2
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4059
76.8%
Common 712
 
13.5%
Cyrillic 292
 
5.5%
Hangul 225
 
4.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 518
12.8%
i 366
 
9.0%
a 341
 
8.4%
n 296
 
7.3%
r 270
 
6.7%
o 234
 
5.8%
t 231
 
5.7%
d 219
 
5.4%
l 203
 
5.0%
s 167
 
4.1%
Other values (41) 1214
29.9%
Cyrillic
ValueCountFrequency (%)
О 19
 
6.5%
и 19
 
6.5%
С 15
 
5.1%
Р 15
 
5.1%
т 15
 
5.1%
И 14
 
4.8%
Н 13
 
4.5%
е 13
 
4.5%
н 12
 
4.1%
Е 12
 
4.1%
Other values (37) 145
49.7%
Hangul
ValueCountFrequency (%)
51
22.7%
50
22.2%
49
21.8%
49
21.8%
5
 
2.2%
2
 
0.9%
1
 
0.4%
1
 
0.4%
1
 
0.4%
1
 
0.4%
Other values (15) 15
 
6.7%
Common
ValueCountFrequency (%)
613
86.1%
) 26
 
3.7%
, 26
 
3.7%
( 26
 
3.7%
- 8
 
1.1%
' 8
 
1.1%
2
 
0.3%
3 1
 
0.1%
. 1
 
0.1%
& 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4765
90.1%
Cyrillic 292
 
5.5%
Hangul 225
 
4.3%
None 4
 
0.1%
Punctuation 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
613
12.9%
e 518
 
10.9%
i 366
 
7.7%
a 341
 
7.2%
n 296
 
6.2%
r 270
 
5.7%
o 234
 
4.9%
t 231
 
4.8%
d 219
 
4.6%
l 203
 
4.3%
Other values (49) 1474
30.9%
Hangul
ValueCountFrequency (%)
51
22.7%
50
22.2%
49
21.8%
49
21.8%
5
 
2.2%
2
 
0.9%
1
 
0.4%
1
 
0.4%
1
 
0.4%
1
 
0.4%
Other values (15) 15
 
6.7%
Cyrillic
ValueCountFrequency (%)
О 19
 
6.5%
и 19
 
6.5%
С 15
 
5.1%
Р 15
 
5.1%
т 15
 
5.1%
И 14
 
4.8%
Н 13
 
4.5%
е 13
 
4.5%
н 12
 
4.1%
Е 12
 
4.1%
Other values (37) 145
49.7%
None
ValueCountFrequency (%)
ø 4
100.0%
Punctuation
ValueCountFrequency (%)
2
100.0%
Distinct53
Distinct (%)38.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T13:40:50.928378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length85
Median length83
Mean length13.064748
Min length2

Characters and Unicode

Total characters1816
Distinct characters195
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)36.0%

Sample

1st row정보없음
2nd row정보없음
3rd row정보없음
4th row모든 유전자원
5th row정보없음
ValueCountFrequency (%)
유전자원 62
 
13.7%
모든 55
 
12.2%
정보없음 38
 
8.4%
접근 20
 
4.4%
대한 20
 
4.4%
18
 
4.0%
지역사회에 16
 
3.5%
관한 6
 
1.3%
따른 6
 
1.3%
법률」에 6
 
1.3%
Other values (140) 204
45.2%
2023-12-12T13:40:51.303731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
313
 
17.2%
91
 
5.0%
89
 
4.9%
83
 
4.6%
74
 
4.1%
55
 
3.0%
55
 
3.0%
, 50
 
2.8%
47
 
2.6%
44
 
2.4%
Other values (185) 915
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1396
76.9%
Space Separator 313
 
17.2%
Other Punctuation 52
 
2.9%
Lowercase Letter 28
 
1.5%
Close Punctuation 10
 
0.6%
Open Punctuation 10
 
0.6%
Uppercase Letter 7
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
91
 
6.5%
89
 
6.4%
83
 
5.9%
74
 
5.3%
55
 
3.9%
55
 
3.9%
47
 
3.4%
44
 
3.2%
39
 
2.8%
39
 
2.8%
Other values (158) 780
55.9%
Lowercase Letter
ValueCountFrequency (%)
l 4
14.3%
o 4
14.3%
e 4
14.3%
i 3
10.7%
g 2
7.1%
m 2
7.1%
n 2
7.1%
h 2
7.1%
f 1
 
3.6%
s 1
 
3.6%
Other values (3) 3
10.7%
Uppercase Letter
ValueCountFrequency (%)
F 1
14.3%
W 1
14.3%
C 1
14.3%
I 1
14.3%
P 1
14.3%
R 1
14.3%
B 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 50
96.2%
/ 2
 
3.8%
Close Punctuation
ValueCountFrequency (%)
6
60.0%
) 4
40.0%
Open Punctuation
ValueCountFrequency (%)
6
60.0%
( 4
40.0%
Space Separator
ValueCountFrequency (%)
313
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1396
76.9%
Common 385
 
21.2%
Latin 35
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
91
 
6.5%
89
 
6.4%
83
 
5.9%
74
 
5.3%
55
 
3.9%
55
 
3.9%
47
 
3.4%
44
 
3.2%
39
 
2.8%
39
 
2.8%
Other values (158) 780
55.9%
Latin
ValueCountFrequency (%)
l 4
 
11.4%
o 4
 
11.4%
e 4
 
11.4%
i 3
 
8.6%
g 2
 
5.7%
m 2
 
5.7%
n 2
 
5.7%
h 2
 
5.7%
f 1
 
2.9%
s 1
 
2.9%
Other values (10) 10
28.6%
Common
ValueCountFrequency (%)
313
81.3%
, 50
 
13.0%
6
 
1.6%
6
 
1.6%
) 4
 
1.0%
( 4
 
1.0%
/ 2
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1392
76.7%
ASCII 408
 
22.5%
None 12
 
0.7%
Compat Jamo 4
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
313
76.7%
, 50
 
12.3%
l 4
 
1.0%
o 4
 
1.0%
e 4
 
1.0%
) 4
 
1.0%
( 4
 
1.0%
i 3
 
0.7%
/ 2
 
0.5%
g 2
 
0.5%
Other values (15) 18
 
4.4%
Hangul
ValueCountFrequency (%)
91
 
6.5%
89
 
6.4%
83
 
6.0%
74
 
5.3%
55
 
4.0%
55
 
4.0%
47
 
3.4%
44
 
3.2%
39
 
2.8%
39
 
2.8%
Other values (157) 776
55.7%
None
ValueCountFrequency (%)
6
50.0%
6
50.0%
Compat Jamo
ValueCountFrequency (%)
4
100.0%
Distinct83
Distinct (%)59.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T13:40:51.478543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length141
Median length91
Mean length20.899281
Min length4

Characters and Unicode

Total characters2905
Distinct characters49
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique82 ?
Unique (%)59.0%

Sample

1st row정보없음
2nd row정보없음
3rd row정보없음
4th rowhttp://ncsd.moe.gov.kh/
5th row정보없음
ValueCountFrequency (%)
정보없음 57
41.0%
https://mst.dk 1
 
0.7%
https://www.envir.ee/en 1
 
0.7%
http://www.mjedisi.gov.al 1
 
0.7%
http://www.minzp.sk 1
 
0.7%
https://www.miteco.gob.es/es 1
 
0.7%
https://www.bafu.admin.ch/bafu/en/home.html 1
 
0.7%
http://www.swedishepa.se 1
 
0.7%
http://www.ekologija.gov.rs 1
 
0.7%
https://mi.government.bg/bg 1
 
0.7%
Other values (73) 73
52.5%
2023-12-12T13:40:51.836868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 267
 
9.2%
t 239
 
8.2%
w 230
 
7.9%
. 221
 
7.6%
e 171
 
5.9%
o 133
 
4.6%
p 123
 
4.2%
n 114
 
3.9%
s 113
 
3.9%
a 104
 
3.6%
Other values (39) 1190
41.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2048
70.5%
Other Punctuation 571
 
19.7%
Other Letter 229
 
7.9%
Dash Punctuation 37
 
1.3%
Decimal Number 7
 
0.2%
Uppercase Letter 5
 
0.2%
Space Separator 3
 
0.1%
Math Symbol 3
 
0.1%
Connector Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 239
 
11.7%
w 230
 
11.2%
e 171
 
8.3%
o 133
 
6.5%
p 123
 
6.0%
n 114
 
5.6%
s 113
 
5.5%
a 104
 
5.1%
h 101
 
4.9%
i 99
 
4.8%
Other values (16) 621
30.3%
Other Letter
ValueCountFrequency (%)
57
24.9%
57
24.9%
57
24.9%
57
24.9%
1
 
0.4%
Decimal Number
ValueCountFrequency (%)
1 3
42.9%
7 1
 
14.3%
0 1
 
14.3%
4 1
 
14.3%
2 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
/ 267
46.8%
. 221
38.7%
: 82
 
14.4%
& 1
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
P 2
40.0%
L 1
20.0%
A 1
20.0%
I 1
20.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Math Symbol
ValueCountFrequency (%)
= 3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2053
70.7%
Common 623
 
21.4%
Hangul 229
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 239
 
11.6%
w 230
 
11.2%
e 171
 
8.3%
o 133
 
6.5%
p 123
 
6.0%
n 114
 
5.6%
s 113
 
5.5%
a 104
 
5.1%
h 101
 
4.9%
i 99
 
4.8%
Other values (20) 626
30.5%
Common
ValueCountFrequency (%)
/ 267
42.9%
. 221
35.5%
: 82
 
13.2%
- 37
 
5.9%
3
 
0.5%
= 3
 
0.5%
1 3
 
0.5%
7 1
 
0.2%
0 1
 
0.2%
4 1
 
0.2%
Other values (4) 4
 
0.6%
Hangul
ValueCountFrequency (%)
57
24.9%
57
24.9%
57
24.9%
57
24.9%
1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2676
92.1%
Hangul 229
 
7.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 267
 
10.0%
t 239
 
8.9%
w 230
 
8.6%
. 221
 
8.3%
e 171
 
6.4%
o 133
 
5.0%
p 123
 
4.6%
n 114
 
4.3%
s 113
 
4.2%
a 104
 
3.9%
Other values (34) 961
35.9%
Hangul
ValueCountFrequency (%)
57
24.9%
57
24.9%
57
24.9%
57
24.9%
1
 
0.4%

책임기관_추가데이터1
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
정보없음
139 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정보없음 139
100.0%

Length

2023-12-12T13:40:52.013872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:40:52.152822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정보없음 139
100.0%

책임기관_추가데이터2
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
정보없음
139 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정보없음 139
100.0%

Length

2023-12-12T13:40:52.282062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:40:52.400827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정보없음 139
100.0%

Interactions

2023-12-12T13:40:46.970197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:40:46.725218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:40:47.102026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:40:46.866709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:40:52.472416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
책임기관_번호국가_번호책임기관_국문명책임기관_영문명책임기관_원문명책임기관_소관유전자원책임기관_링크
책임기관_번호1.0000.9720.0000.0000.0000.0000.000
국가_번호0.9721.0000.0000.0000.0000.0000.594
책임기관_국문명0.0000.0001.0001.0000.9990.9990.998
책임기관_영문명0.0000.0001.0001.0000.9990.9990.999
책임기관_원문명0.0000.0000.9990.9991.0001.0000.998
책임기관_소관유전자원0.0000.0000.9990.9991.0001.0000.918
책임기관_링크0.0000.5940.9980.9990.9980.9181.000
2023-12-12T13:40:52.645958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
책임기관_번호국가_번호
책임기관_번호1.0000.997
국가_번호0.9971.000

Missing values

2023-12-12T13:40:47.248720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:40:47.424679image/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

책임기관_번호국가_번호책임기관_국문명책임기관_영문명책임기관_원문명책임기관_소관유전자원책임기관_링크책임기관_추가데이터1책임기관_추가데이터2
01211정보없음정보없음정보없음정보없음정보없음정보없음정보없음
11312정보없음정보없음정보없음정보없음정보없음정보없음정보없음
21413정보없음정보없음정보없음정보없음정보없음정보없음정보없음
31514환경부 국가지속가능개발협의회 사무국General Secretariat of the National Council for Sustainable Development, Ministry of Environment정보없음모든 유전자원http://ncsd.moe.gov.kh/정보없음정보없음
41615정보없음정보없음정보없음정보없음정보없음정보없음정보없음
51716정보없음정보없음정보없음정보없음정보없음정보없음정보없음
61817환경보호국Environmental Protection Agency정보없음모든 유전자원http://www.epaguyana.org/정보없음정보없음
71918국가지역보호협의회National Council of Protected Areas (CONAP)Consejo Nacional de reas Protegidas -CONAP-모든 유전자원http://www.conap.gob.gt/정보없음정보없음
82119정보없음정보없음정보없음정보없음정보없음정보없음정보없음
92220환경자원부Ministry of the Environment and Natural ResourcesMinisterio de Medio Ambiente y Recursos Naturales모든 유전자원 및 유전자원 관련 전통지식http://www.ambiente.gob.do/정보없음정보없음
책임기관_번호국가_번호책임기관_국문명책임기관_영문명책임기관_원문명책임기관_소관유전자원책임기관_링크책임기관_추가데이터1책임기관_추가데이터2
12922정보없음정보없음정보없음정보없음정보없음정보없음정보없음
13033정보없음정보없음정보없음정보없음정보없음정보없음정보없음
13144정보없음정보없음정보없음정보없음정보없음정보없음정보없음
13255천연자원환경부Ministry of Natural Resources and EnvironmentB TI NGUYN V MI TRNG식물, 동물, 미생물, 진균류, 야생종, 현지외자원, 숲, 호수, 온건다습지역, 해양 및 해안지역, 산, 보호지역 및 섬, 유전자원과 관련된 전통지식https://vietnamabs.gov.vn/)정보없음정보없음
13365농업농촌발전부Ministry of Agriculture and Rural DevelopmentB NNG NGHIP & PHT TRIN NNG THN농촌지역의 순화종 및 재배종https://www.mard.gov.vn/Pages/default.aspx정보없음정보없음
13476농업산림부Ministry of Agriculture and Forests정보없음모든 유전자원http://www.moaf.gov.bt/정보없음정보없음
13587국립공원위원회National Parks Board(NParks)정보없음모든 유전자원http://www.nparks.gov.sg정보없음정보없음
13698정보없음정보없음정보없음정보없음정보없음정보없음정보없음
137109국가생물다양성총국National Biodiversity Authority정보없음모든 유전자원https://www.facebook.com/nbaindia.org/정보없음정보없음
1381110정보없음정보없음정보없음정보없음정보없음정보없음정보없음