Overview

Dataset statistics

Number of variables13
Number of observations25
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory109.3 B

Variable types

Text3
Categorical10

Alerts

11월 is highly overall correlated with 3월 and 7 other fieldsHigh correlation
11월.1 is highly overall correlated with 3월 and 6 other fieldsHigh correlation
3월 is highly overall correlated with 3월.1 and 6 other fieldsHigh correlation
3월.1 is highly overall correlated with 3월 and 1 other fieldsHigh correlation
5월 is highly overall correlated with 5월.1 and 4 other fieldsHigh correlation
5월.1 is highly overall correlated with 3월 and 4 other fieldsHigh correlation
7월 is highly overall correlated with 3월 and 5 other fieldsHigh correlation
7월.1 is highly overall correlated with 3월 and 4 other fieldsHigh correlation
9월 is highly overall correlated with 3월 and 5 other fieldsHigh correlation
9월.1 is highly overall correlated with 5월 and 6 other fieldsHigh correlation
일자 has unique valuesUnique

Reproduction

Analysis started2024-03-14 01:06:33.131281
Analysis finished2024-03-14 01:06:34.120215
Duration0.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일자
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-03-14T10:06:34.250807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length27
Mean length22.4
Min length2

Characters and Unicode

Total characters560
Distinct characters90
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row구분
2nd row조피볼락(Sebastes schlegelii)
3rd row황해볼락(Sebastes koreanus)
4th row쑤기미(Inimicus japonicus)
5th row삼세기(Hemitripterus villosus)
ValueCountFrequency (%)
japonicus 2
 
4.2%
구분 1
 
2.1%
trituberculatus 1
 
2.1%
gillii 1
 
2.1%
보구치(pennahia 1
 
2.1%
argentata 1
 
2.1%
붕장어(conger 1
 
2.1%
myriaster 1
 
2.1%
멸치(engraulis 1
 
2.1%
노랑가오리(dasyatis 1
 
2.1%
Other values (37) 37
77.1%
2024-03-14T10:06:34.534698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 48
 
8.6%
s 42
 
7.5%
e 35
 
6.2%
i 34
 
6.1%
u 28
 
5.0%
o 27
 
4.8%
t 24
 
4.3%
l 23
 
4.1%
23
 
4.1%
) 23
 
4.1%
Other values (80) 253
45.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 389
69.5%
Other Letter 79
 
14.1%
Space Separator 23
 
4.1%
Close Punctuation 23
 
4.1%
Open Punctuation 23
 
4.1%
Uppercase Letter 23
 
4.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
가 6
 
7.6%
미 5
 
6.3%
치 5
 
6.3%
어 3
 
3.8%
리 2
 
2.5%
자 2
 
2.5%
노 2
 
2.5%
오 2
 
2.5%
꽃 2
 
2.5%
게 2
 
2.5%
Other values (43) 48
60.8%
Lowercase Letter
ValueCountFrequency (%)
a 48
12.3%
s 42
10.8%
e 35
9.0%
i 34
 
8.7%
u 28
 
7.2%
o 27
 
6.9%
t 24
 
6.2%
l 23
 
5.9%
r 23
 
5.9%
n 19
 
4.9%
Other values (13) 86
22.1%
Uppercase Letter
ValueCountFrequency (%)
P 6
26.1%
C 4
17.4%
S 3
13.0%
O 2
 
8.7%
H 2
 
8.7%
E 1
 
4.3%
D 1
 
4.3%
R 1
 
4.3%
I 1
 
4.3%
K 1
 
4.3%
Space Separator
ValueCountFrequency (%)
23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 412
73.6%
Hangul 79
 
14.1%
Common 69
 
12.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
가 6
 
7.6%
미 5
 
6.3%
치 5
 
6.3%
어 3
 
3.8%
리 2
 
2.5%
자 2
 
2.5%
노 2
 
2.5%
오 2
 
2.5%
꽃 2
 
2.5%
게 2
 
2.5%
Other values (43) 48
60.8%
Latin
ValueCountFrequency (%)
a 48
11.7%
s 42
 
10.2%
e 35
 
8.5%
i 34
 
8.3%
u 28
 
6.8%
o 27
 
6.6%
t 24
 
5.8%
l 23
 
5.6%
r 23
 
5.6%
n 19
 
4.6%
Other values (24) 109
26.5%
Common
ValueCountFrequency (%)
23
33.3%
) 23
33.3%
( 23
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 481
85.9%
Hangul 79
 
14.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 48
 
10.0%
s 42
 
8.7%
e 35
 
7.3%
i 34
 
7.1%
u 28
 
5.8%
o 27
 
5.6%
t 24
 
5.0%
l 23
 
4.8%
23
 
4.8%
) 23
 
4.8%
Other values (27) 174
36.2%
Hangul
ValueCountFrequency (%)
가 6
 
7.6%
미 5
 
6.3%
치 5
 
6.3%
어 3
 
3.8%
리 2
 
2.5%
자 2
 
2.5%
노 2
 
2.5%
오 2
 
2.5%
꽃 2
 
2.5%
게 2
 
2.5%
Other values (43) 48
60.8%

3월
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)28.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
-
12 
1
7 
5
2 
개체수(마리)
 
1
4
 
1
Other values (2)
2 

Length

Max length7
Median length1
Mean length1.28
Min length1

Unique

Unique4 ?
Unique (%)16.0%

Sample

1st row개체수(마리)
2nd row1
3rd row-
4th row-
5th row4

Common Values

ValueCountFrequency (%)
- 12
48.0%
1 7
28.0%
5 2
 
8.0%
개체수(마리) 1
 
4.0%
4 1
 
4.0%
3 1
 
4.0%
24 1
 
4.0%

Length

2024-03-14T10:06:34.653872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:06:34.747577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
12
48.0%
1 7
28.0%
5 2
 
8.0%
개체수(마리 1
 
4.0%
4 1
 
4.0%
3 1
 
4.0%
24 1
 
4.0%

3월.1
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
-
12 
0.2
4 
0.4
2 
현존량(㎏)
 
1
2.3
 
1
Other values (5)
5 

Length

Max length6
Median length3
Mean length2.16
Min length1

Unique

Unique7 ?
Unique (%)28.0%

Sample

1st row현존량(㎏)
2nd row0.4
3rd row-
4th row-
5th row2.3

Common Values

ValueCountFrequency (%)
- 12
48.0%
0.2 4
 
16.0%
0.4 2
 
8.0%
현존량(㎏) 1
 
4.0%
2.3 1
 
4.0%
1.5 1
 
4.0%
0.5 1
 
4.0%
0.8 1
 
4.0%
0.1 1
 
4.0%
6.8 1
 
4.0%

Length

2024-03-14T10:06:34.855000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:06:34.961352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
12
48.0%
0.2 4
 
16.0%
0.4 2
 
8.0%
현존량(㎏ 1
 
4.0%
2.3 1
 
4.0%
1.5 1
 
4.0%
0.5 1
 
4.0%
0.8 1
 
4.0%
0.1 1
 
4.0%
6.8 1
 
4.0%

5월
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
-
10 
1
7 
4
3 
개체수(마리)
 
1
6
 
1
Other values (3)
3 

Length

Max length7
Median length1
Mean length1.36
Min length1

Unique

Unique5 ?
Unique (%)20.0%

Sample

1st row개체수(마리)
2nd row-
3rd row-
4th row-
5th row1

Common Values

ValueCountFrequency (%)
- 10
40.0%
1 7
28.0%
4 3
 
12.0%
개체수(마리) 1
 
4.0%
6 1
 
4.0%
18 1
 
4.0%
20 1
 
4.0%
63 1
 
4.0%

Length

2024-03-14T10:06:35.090719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:06:35.261072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10
40.0%
1 7
28.0%
4 3
 
12.0%
개체수(마리 1
 
4.0%
6 1
 
4.0%
18 1
 
4.0%
20 1
 
4.0%
63 1
 
4.0%

5월.1
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)48.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
-
10 
0.2
4 
0.1
2 
현존량(㎏)
 
1
0.4
 
1
Other values (7)
7 

Length

Max length6
Median length3
Mean length2.36
Min length1

Unique

Unique9 ?
Unique (%)36.0%

Sample

1st row현존량(㎏)
2nd row-
3rd row-
4th row-
5th row0.4

Common Values

ValueCountFrequency (%)
- 10
40.0%
0.2 4
 
16.0%
0.1 2
 
8.0%
현존량(㎏) 1
 
4.0%
0.4 1
 
4.0%
0.5 1
 
4.0%
2.1 1
 
4.0%
2.2 1
 
4.0%
0.6 1
 
4.0%
6.8 1
 
4.0%
Other values (2) 2
 
8.0%

Length

2024-03-14T10:06:35.371715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
10
40.0%
0.2 4
 
16.0%
0.1 2
 
8.0%
현존량(㎏ 1
 
4.0%
0.4 1
 
4.0%
0.5 1
 
4.0%
2.1 1
 
4.0%
2.2 1
 
4.0%
0.6 1
 
4.0%
6.8 1
 
4.0%
Other values (2) 2
 
8.0%

7월
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
-
10 
3
4 
2
2 
1
2 
5
2 
Other values (5)
5 

Length

Max length7
Median length1
Mean length1.36
Min length1

Unique

Unique5 ?
Unique (%)20.0%

Sample

1st row개체수(마리)
2nd row-
3rd row2
4th row1
5th row-

Common Values

ValueCountFrequency (%)
- 10
40.0%
3 4
 
16.0%
2 2
 
8.0%
1 2
 
8.0%
5 2
 
8.0%
개체수(마리) 1
 
4.0%
6 1
 
4.0%
11 1
 
4.0%
10 1
 
4.0%
55 1
 
4.0%

Length

2024-03-14T10:06:35.464778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:06:35.554103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10
40.0%
3 4
 
16.0%
2 2
 
8.0%
1 2
 
8.0%
5 2
 
8.0%
개체수(마리 1
 
4.0%
6 1
 
4.0%
11 1
 
4.0%
10 1
 
4.0%
55 1
 
4.0%

7월.1
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)44.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
-
10 
0.2
3 
1.1
2 
0.8
2 
2.2
2 
Other values (6)
6 

Length

Max length6
Median length3
Mean length2.36
Min length1

Unique

Unique6 ?
Unique (%)24.0%

Sample

1st row현존량(㎏)
2nd row-
3rd row0.2
4th row0.2
5th row-

Common Values

ValueCountFrequency (%)
- 10
40.0%
0.2 3
 
12.0%
1.1 2
 
8.0%
0.8 2
 
8.0%
2.2 2
 
8.0%
현존량(㎏) 1
 
4.0%
0.5 1
 
4.0%
1.5 1
 
4.0%
0.6 1
 
4.0%
0.3 1
 
4.0%

Length

2024-03-14T10:06:35.862976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
10
40.0%
0.2 3
 
12.0%
1.1 2
 
8.0%
0.8 2
 
8.0%
2.2 2
 
8.0%
현존량(㎏ 1
 
4.0%
0.5 1
 
4.0%
1.5 1
 
4.0%
0.6 1
 
4.0%
0.3 1
 
4.0%

9월
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
-
12 
1
3 
2
3 
개체수(마리)
 
1
5
 
1
Other values (5)
5 

Length

Max length7
Median length1
Mean length1.4
Min length1

Unique

Unique7 ?
Unique (%)28.0%

Sample

1st row개체수(마리)
2nd row-
3rd row1
4th row1
5th row-

Common Values

ValueCountFrequency (%)
- 12
48.0%
1 3
 
12.0%
2 3
 
12.0%
개체수(마리) 1
 
4.0%
5 1
 
4.0%
6 1
 
4.0%
45 1
 
4.0%
13 1
 
4.0%
10 1
 
4.0%
88 1
 
4.0%

Length

2024-03-14T10:06:35.984347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:06:36.104810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
12
48.0%
1 3
 
12.0%
2 3
 
12.0%
개체수(마리 1
 
4.0%
5 1
 
4.0%
6 1
 
4.0%
45 1
 
4.0%
13 1
 
4.0%
10 1
 
4.0%
88 1
 
4.0%

9월.1
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)48.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
-
12 
0.1
3 
현존량(㎏)
 
1
0.2
 
1
0.4
 
1
Other values (7)
7 

Length

Max length6
Median length4
Mean length2.2
Min length1

Unique

Unique10 ?
Unique (%)40.0%

Sample

1st row현존량(㎏)
2nd row-
3rd row0.1
4th row0.2
5th row-

Common Values

ValueCountFrequency (%)
- 12
48.0%
0.1 3
 
12.0%
현존량(㎏) 1
 
4.0%
0.2 1
 
4.0%
0.4 1
 
4.0%
1.5 1
 
4.0%
1.2 1
 
4.0%
0.6 1
 
4.0%
9.8 1
 
4.0%
1.3 1
 
4.0%
Other values (2) 2
 
8.0%

Length

2024-03-14T10:06:36.244659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
12
48.0%
0.1 3
 
12.0%
현존량(㎏ 1
 
4.0%
0.2 1
 
4.0%
0.4 1
 
4.0%
1.5 1
 
4.0%
1.2 1
 
4.0%
0.6 1
 
4.0%
9.8 1
 
4.0%
1.3 1
 
4.0%
Other values (2) 2
 
8.0%

11월
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)28.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
-
17 
5
2 
1
2 
개체수(마리)
 
1
2
 
1
Other values (2)
2 

Length

Max length7
Median length1
Mean length1.32
Min length1

Unique

Unique4 ?
Unique (%)16.0%

Sample

1st row개체수(마리)
2nd row5
3rd row-
4th row-
5th row-

Common Values

ValueCountFrequency (%)
- 17
68.0%
5 2
 
8.0%
1 2
 
8.0%
개체수(마리) 1
 
4.0%
2 1
 
4.0%
30 1
 
4.0%
44 1
 
4.0%

Length

2024-03-14T10:06:36.342721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:06:36.424659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
17
68.0%
5 2
 
8.0%
1 2
 
8.0%
개체수(마리 1
 
4.0%
2 1
 
4.0%
30 1
 
4.0%
44 1
 
4.0%

11월.1
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
-
17 
1.3
2 
현존량(㎏)
 
1
0.2
 
1
1.2
 
1
Other values (3)
3 

Length

Max length6
Median length1
Mean length1.76
Min length1

Unique

Unique6 ?
Unique (%)24.0%

Sample

1st row현존량(㎏)
2nd row1.3
3rd row-
4th row-
5th row-

Common Values

ValueCountFrequency (%)
- 17
68.0%
1.3 2
 
8.0%
현존량(㎏) 1
 
4.0%
0.2 1
 
4.0%
1.2 1
 
4.0%
0.1 1
 
4.0%
5.2 1
 
4.0%
9.3 1
 
4.0%

Length

2024-03-14T10:06:36.519431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:06:36.605930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
17
68.0%
1.3 2
 
8.0%
현존량(㎏ 1
 
4.0%
0.2 1
 
4.0%
1.2 1
 
4.0%
0.1 1
 
4.0%
5.2 1
 
4.0%
9.3 1
 
4.0%

합계
Text

Distinct17
Distinct (%)68.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-03-14T10:06:36.703407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length1
Mean length1.64
Min length1

Characters and Unicode

Total characters41
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)48.0%

Sample

1st row개체수(마리)
2nd row6
3rd row3
4th row2
5th row5
ValueCountFrequency (%)
1 4
16.0%
2 3
12.0%
8 2
 
8.0%
5 2
 
8.0%
6 2
 
8.0%
개체수(마리 1
 
4.0%
49 1
 
4.0%
70 1
 
4.0%
18 1
 
4.0%
33 1
 
4.0%
Other values (7) 7
28.0%
2024-03-14T10:06:36.914203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 10
24.4%
2 5
12.2%
8 3
 
7.3%
6 3
 
7.3%
4 3
 
7.3%
3 3
 
7.3%
5 2
 
4.9%
0 2
 
4.9%
7 2
 
4.9%
마 1
 
2.4%
Other values (7) 7
17.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 34
82.9%
Other Letter 5
 
12.2%
Close Punctuation 1
 
2.4%
Open Punctuation 1
 
2.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 10
29.4%
2 5
14.7%
8 3
 
8.8%
6 3
 
8.8%
4 3
 
8.8%
3 3
 
8.8%
5 2
 
5.9%
0 2
 
5.9%
7 2
 
5.9%
9 1
 
2.9%
Other Letter
ValueCountFrequency (%)
마 1
20.0%
리 1
20.0%
개 1
20.0%
수 1
20.0%
체 1
20.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 36
87.8%
Hangul 5
 
12.2%

Most frequent character per script

Common
ValueCountFrequency (%)
1 10
27.8%
2 5
13.9%
8 3
 
8.3%
6 3
 
8.3%
4 3
 
8.3%
3 3
 
8.3%
5 2
 
5.6%
0 2
 
5.6%
7 2
 
5.6%
) 1
 
2.8%
Other values (2) 2
 
5.6%
Hangul
ValueCountFrequency (%)
마 1
20.0%
리 1
20.0%
개 1
20.0%
수 1
20.0%
체 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 36
87.8%
Hangul 5
 
12.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 10
27.8%
2 5
13.9%
8 3
 
8.3%
6 3
 
8.3%
4 3
 
8.3%
3 3
 
8.3%
5 2
 
5.6%
0 2
 
5.6%
7 2
 
5.6%
) 1
 
2.8%
Other values (2) 2
 
5.6%
Hangul
ValueCountFrequency (%)
마 1
20.0%
리 1
20.0%
개 1
20.0%
수 1
20.0%
체 1
20.0%

합계.1
Text

Distinct20
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-03-14T10:06:37.044641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3
Min length1

Characters and Unicode

Total characters75
Distinct characters17
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)68.0%

Sample

1st row현존량(㎏)
2nd row1.3
3rd row0.3
4th row0.4
5th row2.7
ValueCountFrequency (%)
0.2 4
 
16.0%
1.2 2
 
8.0%
4 2
 
8.0%
현존량(㎏ 1
 
4.0%
1.3 1
 
4.0%
12.5 1
 
4.0%
6.8 1
 
4.0%
0.7 1
 
4.0%
10.3 1
 
4.0%
1.6 1
 
4.0%
Other values (10) 10
40.0%
2024-03-14T10:06:37.262128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 21
28.0%
0 10
13.3%
2 9
12.0%
1 8
 
10.7%
4 6
 
8.0%
3 5
 
6.7%
6 4
 
5.3%
5 2
 
2.7%
7 2
 
2.7%
( 1
 
1.3%
Other values (7) 7
 
9.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 48
64.0%
Other Punctuation 21
28.0%
Other Letter 3
 
4.0%
Open Punctuation 1
 
1.3%
Close Punctuation 1
 
1.3%
Other Symbol 1
 
1.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10
20.8%
2 9
18.8%
1 8
16.7%
4 6
12.5%
3 5
10.4%
6 4
 
8.3%
5 2
 
4.2%
7 2
 
4.2%
9 1
 
2.1%
8 1
 
2.1%
Other Letter
ValueCountFrequency (%)
량 1
33.3%
존 1
33.3%
현 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Symbol
ValueCountFrequency (%)
㎏ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 72
96.0%
Hangul 3
 
4.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 21
29.2%
0 10
13.9%
2 9
12.5%
1 8
 
11.1%
4 6
 
8.3%
3 5
 
6.9%
6 4
 
5.6%
5 2
 
2.8%
7 2
 
2.8%
( 1
 
1.4%
Other values (4) 4
 
5.6%
Hangul
ValueCountFrequency (%)
량 1
33.3%
존 1
33.3%
현 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 71
94.7%
Hangul 3
 
4.0%
CJK Compat 1
 
1.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 21
29.6%
0 10
14.1%
2 9
12.7%
1 8
 
11.3%
4 6
 
8.5%
3 5
 
7.0%
6 4
 
5.6%
5 2
 
2.8%
7 2
 
2.8%
( 1
 
1.4%
Other values (3) 3
 
4.2%
CJK Compat
ValueCountFrequency (%)
㎏ 1
100.0%
Hangul
ValueCountFrequency (%)
량 1
33.3%
존 1
33.3%
현 1
33.3%

Correlations

2024-03-14T10:06:37.379930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일자3월3월.15월5월.17월7월.19월9월.111월11월.1합계합계.1
일자1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
3월1.0001.0000.9540.6730.8330.8270.8200.8230.7800.9310.7870.9110.890
3월.11.0000.9541.0000.5000.3260.7620.7770.0000.0000.7990.7170.6220.993
5월1.0000.6730.5001.0000.9960.7960.8300.7830.8730.8210.9120.9730.962
5월.11.0000.8330.3260.9961.0000.8030.8300.8350.9400.8400.8690.9140.914
7월1.0000.8270.7620.7960.8031.0000.8910.9490.8900.8640.8440.9450.943
7월.11.0000.8200.7770.8300.8300.8911.0000.8630.8990.7450.7020.9390.965
9월1.0000.8230.0000.7830.8350.9490.8631.0000.9890.8960.8960.9610.975
9월.11.0000.7800.0000.8730.9400.8900.8990.9891.0000.8830.9040.9320.944
11월1.0000.9310.7990.8210.8400.8640.7450.8960.8831.0001.0000.9490.944
11월.11.0000.7870.7170.9120.8690.8440.7020.8960.9041.0001.0000.9360.933
합계1.0000.9110.6220.9730.9140.9450.9390.9610.9320.9490.9361.0000.929
합계.11.0000.8900.9930.9620.9140.9430.9650.9750.9440.9440.9330.9291.000
2024-03-14T10:06:37.549107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
3월.19월.111월7월.17월11월.15월.19월5월3월
3월.11.0000.0000.5100.4340.2960.4000.0000.0000.2070.802
9월.10.0001.0000.5830.6130.5930.5700.5460.8870.5150.431
11월0.5100.5831.0000.4140.6110.9720.5130.6720.5980.598
7월.10.4340.6130.4141.0000.6210.3630.4830.5670.5220.510
7월0.2960.5930.6110.6211.0000.5690.4450.6060.4970.551
11월.10.4000.5700.9720.3630.5691.0000.5070.6660.5390.550
5월.10.0000.5460.5130.4830.4450.5071.0000.4920.8180.502
9월0.0000.8870.6720.5670.6060.6660.4921.0000.4790.545
5월0.2070.5150.5980.5220.4970.5390.8180.4791.0000.416
3월0.8020.4310.5980.5100.5510.5500.5020.5450.4161.000
2024-03-14T10:06:37.649160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
3월3월.15월5월.17월7월.19월9월.111월11월.1
3월1.0000.8020.4160.5020.5510.5100.5450.4310.5980.550
3월.10.8021.0000.2070.0000.2960.4340.0000.0000.5100.400
5월0.4160.2071.0000.8180.4970.5220.4790.5150.5980.539
5월.10.5020.0000.8181.0000.4450.4830.4920.5460.5130.507
7월0.5510.2960.4970.4451.0000.6210.6060.5930.6110.569
7월.10.5100.4340.5220.4830.6211.0000.5670.6130.4140.363
9월0.5450.0000.4790.4920.6060.5671.0000.8870.6720.666
9월.10.4310.0000.5150.5460.5930.6130.8871.0000.5830.570
11월0.5980.5100.5980.5130.6110.4140.6720.5831.0000.972
11월.10.5500.4000.5390.5070.5690.3630.6660.5700.9721.000

Missing values

2024-03-14T10:06:33.866529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T10:06:34.063619image/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

일자3월3월.15월5월.17월7월.19월9월.111월11월.1합계합계.1
0구분개체수(마리)현존량(㎏)개체수(마리)현존량(㎏)개체수(마리)현존량(㎏)개체수(마리)현존량(㎏)개체수(마리)현존량(㎏)개체수(마리)현존량(㎏)
1조피볼락(Sebastes schlegelii)10.4------51.361.3
2황해볼락(Sebastes koreanus)----20.210.1--30.3
3쑤기미(Inimicus japonicus)----10.210.2--20.4
4삼세기(Hemitripterus villosus)42.310.4------52.7
5노래미(Hexagrammos agrammus)--60.530.520.4--111.4
6넙치(Paralichthys olivadeus)--12.151.151.510.2124.9
7문치가자미(Pleuronectes yokohamae)51.5--51.5----103
8도다리(Pleuronichthys comutus)10.442.230.6----83.2
9돌가자미(Kareius bicoloratus)10.5--------10.5
일자3월3월.15월5월.17월7월.19월9월.111월11월.1합계합계.1
15붕장어(Conger myriaster)--10.2------10.2
16멸치(Engraulis japonicus)--40.2------40.2
17노랑가오리(Dasyatis akajei)10.8--10.8----21.6
18꽃게(Portunus trituberculatus)10.2--30.3459.8--4910.3
19민꽃게(Charybdis japonica)30.210.1111.1131.351.3334
20갯가재(Oratosquilla oratoria)50.140.230.220.120.1160.7
21참갑오징어(Sepia esculenta)--186.8------186.8
22주꾸미(Octopus ocellatus)--10.1--10.1--20.2
23피뿔고둥(Rapana venosa)--203.2102.2101.9305.27012.5
24합계246.86316.85511.78817.2449.327461.4