Overview

Dataset statistics

Number of variables13
Number of observations33
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.5 KiB
Average record size in memory108.0 B

Variable types

Text4
Categorical9

Alerts

3월.1 is highly overall correlated with 3월 and 2 other fieldsHigh correlation
3월 is highly overall correlated with 3월.1 and 4 other fieldsHigh correlation
5월 is highly overall correlated with 3월.1 and 5 other fieldsHigh correlation
5월.1 is highly overall correlated with 5월 and 2 other fieldsHigh correlation
7월 is highly overall correlated with 5월 and 4 other fieldsHigh correlation
9월 is highly overall correlated with 3월 and 5 other fieldsHigh correlation
9월.1 is highly overall correlated with 3월 and 4 other fieldsHigh correlation
11월 is highly overall correlated with 3월 and 7 other fieldsHigh correlation
11월.1 is highly overall correlated with 3월 and 4 other fieldsHigh correlation
일자 has unique valuesUnique

Reproduction

Analysis started2024-03-14 00:07:22.700244
Analysis finished2024-03-14 00:07:23.591307
Duration0.89 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일자
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-03-14T09:07:23.761899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length27
Mean length22.787879
Min length2

Characters and Unicode

Total characters752
Distinct characters104
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

Unique33 ?
Unique (%)100.0%

Sample

1st row구분
2nd row조피볼락(Sebastes schlegelii)
3rd row황해볼락(Sebastes koreanus)
4th row개볼락(Sebastes pachycephalus)
5th row쑤기미(Inimicus japonicus)
ValueCountFrequency (%)
구분 1
 
1.6%
조피볼락(sebastes 1
 
1.6%
obtusata 1
 
1.6%
보리멸(sillago 1
 
1.6%
sihama 1
 
1.6%
동갈돗돔(hapalogenys 1
 
1.6%
nitens 1
 
1.6%
어름돔(plectorhinchus 1
 
1.6%
cinctus 1
 
1.6%
수조기(nivea 1
 
1.6%
Other values (54) 54
84.4%
2024-03-14T09:07:24.125965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 64
 
8.5%
s 57
 
7.6%
e 47
 
6.2%
i 44
 
5.9%
o 39
 
5.2%
u 38
 
5.1%
n 34
 
4.5%
( 31
 
4.1%
31
 
4.1%
) 31
 
4.1%
Other values (94) 336
44.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 527
70.1%
Other Letter 101
 
13.4%
Open Punctuation 31
 
4.1%
Space Separator 31
 
4.1%
Close Punctuation 31
 
4.1%
Uppercase Letter 31
 
4.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
치 8
 
7.9%
가 5
 
5.0%
어 4
 
4.0%
미 4
 
4.0%
락 3
 
3.0%
볼 3
 
3.0%
기 3
 
3.0%
구 2
 
2.0%
자 2
 
2.0%
리 2
 
2.0%
Other values (56) 65
64.4%
Lowercase Letter
ValueCountFrequency (%)
a 64
12.1%
s 57
10.8%
e 47
 
8.9%
i 44
 
8.3%
o 39
 
7.4%
u 38
 
7.2%
n 34
 
6.5%
l 29
 
5.5%
t 28
 
5.3%
r 26
 
4.9%
Other values (14) 121
23.0%
Uppercase Letter
ValueCountFrequency (%)
P 9
29.0%
S 8
25.8%
C 4
12.9%
H 3
 
9.7%
T 1
 
3.2%
N 1
 
3.2%
R 1
 
3.2%
O 1
 
3.2%
I 1
 
3.2%
K 1
 
3.2%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Space Separator
ValueCountFrequency (%)
31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 558
74.2%
Hangul 101
 
13.4%
Common 93
 
12.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
치 8
 
7.9%
가 5
 
5.0%
어 4
 
4.0%
미 4
 
4.0%
락 3
 
3.0%
볼 3
 
3.0%
기 3
 
3.0%
구 2
 
2.0%
자 2
 
2.0%
리 2
 
2.0%
Other values (56) 65
64.4%
Latin
ValueCountFrequency (%)
a 64
11.5%
s 57
 
10.2%
e 47
 
8.4%
i 44
 
7.9%
o 39
 
7.0%
u 38
 
6.8%
n 34
 
6.1%
l 29
 
5.2%
t 28
 
5.0%
r 26
 
4.7%
Other values (25) 152
27.2%
Common
ValueCountFrequency (%)
( 31
33.3%
31
33.3%
) 31
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 651
86.6%
Hangul 101
 
13.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 64
 
9.8%
s 57
 
8.8%
e 47
 
7.2%
i 44
 
6.8%
o 39
 
6.0%
u 38
 
5.8%
n 34
 
5.2%
( 31
 
4.8%
31
 
4.8%
) 31
 
4.8%
Other values (28) 235
36.1%
Hangul
ValueCountFrequency (%)
치 8
 
7.9%
가 5
 
5.0%
어 4
 
4.0%
미 4
 
4.0%
락 3
 
3.0%
볼 3
 
3.0%
기 3
 
3.0%
구 2
 
2.0%
자 2
 
2.0%
리 2
 
2.0%
Other values (56) 65
64.4%

3월
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)27.3%
Missing0
Missing (%)0.0%
Memory size396.0 B
-
21 
3
3 
1
3 
개체수(마리)
 
1
2
 
1
Other values (4)
4 

Length

Max length7
Median length1
Mean length1.2727273
Min length1

Unique

Unique6 ?
Unique (%)18.2%

Sample

1st row개체수(마리)
2nd row2
3rd row3
4th row-
5th row-

Common Values

ValueCountFrequency (%)
- 21
63.6%
3 3
 
9.1%
1 3
 
9.1%
개체수(마리) 1
 
3.0%
2 1
 
3.0%
19 1
 
3.0%
7 1
 
3.0%
55 1
 
3.0%
95 1
 
3.0%

Length

2024-03-14T09:07:24.241995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:07:24.342527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
21
63.6%
3 3
 
9.1%
1 3
 
9.1%
개체수(마리 1
 
3.0%
2 1
 
3.0%
19 1
 
3.0%
7 1
 
3.0%
55 1
 
3.0%
95 1
 
3.0%

3월.1
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size396.0 B
-
21 
0.2
3 
현존량(㎏)
 
1
0.7
 
1
10.7
 
1
Other values (6)
6 

Length

Max length6
Median length1
Mean length1.9090909
Min length1

Unique

Unique9 ?
Unique (%)27.3%

Sample

1st row현존량(㎏)
2nd row0.7
3rd row0.2
4th row-
5th row-

Common Values

ValueCountFrequency (%)
- 21
63.6%
0.2 3
 
9.1%
현존량(㎏) 1
 
3.0%
0.7 1
 
3.0%
10.7 1
 
3.0%
0.9 1
 
3.0%
0.3 1
 
3.0%
15.2 1
 
3.0%
0.1 1
 
3.0%
1.2 1
 
3.0%

Length

2024-03-14T09:07:24.455039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
21
63.6%
0.2 3
 
9.1%
현존량(㎏ 1
 
3.0%
0.7 1
 
3.0%
10.7 1
 
3.0%
0.9 1
 
3.0%
0.3 1
 
3.0%
15.2 1
 
3.0%
0.1 1
 
3.0%
1.2 1
 
3.0%

5월
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)27.3%
Missing0
Missing (%)0.0%
Memory size396.0 B
-
16 
1
7 
2
4 
개체수(마리)
 
1
7
 
1
Other values (4)
4 

Length

Max length7
Median length1
Mean length1.2121212
Min length1

Unique

Unique6 ?
Unique (%)18.2%

Sample

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

Common Values

ValueCountFrequency (%)
- 16
48.5%
1 7
21.2%
2 4
 
12.1%
개체수(마리) 1
 
3.0%
7 1
 
3.0%
3 1
 
3.0%
8 1
 
3.0%
6 1
 
3.0%
39 1
 
3.0%

Length

2024-03-14T09:07:24.550103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:07:24.647430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
16
48.5%
1 7
21.2%
2 4
 
12.1%
개체수(마리 1
 
3.0%
7 1
 
3.0%
3 1
 
3.0%
8 1
 
3.0%
6 1
 
3.0%
39 1
 
3.0%

5월.1
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size396.0 B
-
16 
0.3
4 
0.1
3 
0.4
2 
0.2
2 
Other values (6)
6 

Length

Max length6
Median length3
Mean length2.1212121
Min length1

Unique

Unique6 ?
Unique (%)18.2%

Sample

1st row현존량(㎏)
2nd row0.4
3rd row0.1
4th row-
5th row0.6

Common Values

ValueCountFrequency (%)
- 16
48.5%
0.3 4
 
12.1%
0.1 3
 
9.1%
0.4 2
 
6.1%
0.2 2
 
6.1%
현존량(㎏) 1
 
3.0%
0.6 1
 
3.0%
1.2 1
 
3.0%
3.3 1
 
3.0%
1.4 1
 
3.0%

Length

2024-03-14T09:07:24.780484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
16
48.5%
0.3 4
 
12.1%
0.1 3
 
9.1%
0.4 2
 
6.1%
0.2 2
 
6.1%
현존량(㎏ 1
 
3.0%
0.6 1
 
3.0%
1.2 1
 
3.0%
3.3 1
 
3.0%
1.4 1
 
3.0%

7월
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)39.4%
Missing0
Missing (%)0.0%
Memory size396.0 B
-
11 
2
7 
1
4 
3
2 
개체수(마리)
 
1
Other values (8)
8 

Length

Max length7
Median length1
Mean length1.3636364
Min length1

Unique

Unique9 ?
Unique (%)27.3%

Sample

1st row개체수(마리)
2nd row3
3rd row-
4th row-
5th row5

Common Values

ValueCountFrequency (%)
- 11
33.3%
2 7
21.2%
1 4
 
12.1%
3 2
 
6.1%
개체수(마리) 1
 
3.0%
5 1
 
3.0%
12 1
 
3.0%
4 1
 
3.0%
42 1
 
3.0%
57 1
 
3.0%
Other values (3) 3
 
9.1%

Length

2024-03-14T09:07:24.880794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
11
33.3%
2 7
21.2%
1 4
 
12.1%
3 2
 
6.1%
개체수(마리 1
 
3.0%
5 1
 
3.0%
12 1
 
3.0%
4 1
 
3.0%
42 1
 
3.0%
57 1
 
3.0%
Other values (3) 3
 
9.1%

7월.1
Text

Distinct17
Distinct (%)51.5%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-03-14T09:07:24.969298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length2.3333333
Min length1

Characters and Unicode

Total characters77
Distinct characters17
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)36.4%

Sample

1st row현존량(㎏)
2nd row1
3rd row-
4th row-
5th row1.1
ValueCountFrequency (%)
11
33.3%
0.5 3
 
9.1%
0.3 3
 
9.1%
0.2 2
 
6.1%
1 2
 
6.1%
0.8 1
 
3.0%
현존량(㎏ 1
 
3.0%
0.1 1
 
3.0%
3.5 1
 
3.0%
4.2 1
 
3.0%
Other values (7) 7
21.2%
2024-03-14T09:07:25.198695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 19
24.7%
0 13
16.9%
- 11
14.3%
1 7
 
9.1%
3 5
 
6.5%
5 4
 
5.2%
2 4
 
5.2%
4 4
 
5.2%
8 2
 
2.6%
량 1
 
1.3%
Other values (7) 7
 
9.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 41
53.2%
Other Punctuation 19
24.7%
Dash Punctuation 11
 
14.3%
Other Letter 3
 
3.9%
Other Symbol 1
 
1.3%
Open Punctuation 1
 
1.3%
Close Punctuation 1
 
1.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 13
31.7%
1 7
17.1%
3 5
 
12.2%
5 4
 
9.8%
2 4
 
9.8%
4 4
 
9.8%
8 2
 
4.9%
6 1
 
2.4%
7 1
 
2.4%
Other Letter
ValueCountFrequency (%)
량 1
33.3%
존 1
33.3%
현 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Other Symbol
ValueCountFrequency (%)
㎏ 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 74
96.1%
Hangul 3
 
3.9%

Most frequent character per script

Common
ValueCountFrequency (%)
. 19
25.7%
0 13
17.6%
- 11
14.9%
1 7
 
9.5%
3 5
 
6.8%
5 4
 
5.4%
2 4
 
5.4%
4 4
 
5.4%
8 2
 
2.7%
㎏ 1
 
1.4%
Other values (4) 4
 
5.4%
Hangul
ValueCountFrequency (%)
량 1
33.3%
존 1
33.3%
현 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 73
94.8%
Hangul 3
 
3.9%
CJK Compat 1
 
1.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 19
26.0%
0 13
17.8%
- 11
15.1%
1 7
 
9.6%
3 5
 
6.8%
5 4
 
5.5%
2 4
 
5.5%
4 4
 
5.5%
8 2
 
2.7%
( 1
 
1.4%
Other values (3) 3
 
4.1%
Hangul
ValueCountFrequency (%)
량 1
33.3%
존 1
33.3%
현 1
33.3%
CJK Compat
ValueCountFrequency (%)
㎏ 1
100.0%

9월
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size396.0 B
-
17 
1
3 
2
3 
6
2 
5
2 
Other values (6)
6 

Length

Max length7
Median length1
Mean length1.2727273
Min length1

Unique

Unique6 ?
Unique (%)18.2%

Sample

1st row개체수(마리)
2nd row3
3rd row-
4th row-
5th row6

Common Values

ValueCountFrequency (%)
- 17
51.5%
1 3
 
9.1%
2 3
 
9.1%
6 2
 
6.1%
5 2
 
6.1%
개체수(마리) 1
 
3.0%
3 1
 
3.0%
8 1
 
3.0%
38 1
 
3.0%
10 1
 
3.0%

Length

2024-03-14T09:07:25.349070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
17
51.5%
1 3
 
9.1%
2 3
 
9.1%
6 2
 
6.1%
5 2
 
6.1%
개체수(마리 1
 
3.0%
3 1
 
3.0%
8 1
 
3.0%
38 1
 
3.0%
10 1
 
3.0%

9월.1
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)42.4%
Missing0
Missing (%)0.0%
Memory size396.0 B
-
17 
0.3
2 
0.05
2 
1.1
2 
현존량(㎏)
 
1
Other values (9)
9 

Length

Max length6
Median length1
Mean length2.1515152
Min length1

Unique

Unique10 ?
Unique (%)30.3%

Sample

1st row현존량(㎏)
2nd row0.3
3rd row-
4th row-
5th row1.2

Common Values

ValueCountFrequency (%)
- 17
51.5%
0.3 2
 
6.1%
0.05 2
 
6.1%
1.1 2
 
6.1%
현존량(㎏) 1
 
3.0%
1.2 1
 
3.0%
1.3 1
 
3.0%
2.5 1
 
3.0%
2.3 1
 
3.0%
0.5 1
 
3.0%
Other values (4) 4
 
12.1%

Length

2024-03-14T09:07:25.468040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
17
51.5%
0.3 2
 
6.1%
0.05 2
 
6.1%
1.1 2
 
6.1%
현존량(㎏ 1
 
3.0%
1.2 1
 
3.0%
1.3 1
 
3.0%
2.5 1
 
3.0%
2.3 1
 
3.0%
0.5 1
 
3.0%
Other values (4) 4
 
12.1%

11월
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)24.2%
Missing0
Missing (%)0.0%
Memory size396.0 B
-
22 
1
4 
5
 
2
개체수(마리)
 
1
8
 
1
Other values (3)
3 

Length

Max length7
Median length1
Mean length1.2121212
Min length1

Unique

Unique5 ?
Unique (%)15.2%

Sample

1st row개체수(마리)
2nd row8
3rd row-
4th row1
5th row-

Common Values

ValueCountFrequency (%)
- 22
66.7%
1 4
 
12.1%
5 2
 
6.1%
개체수(마리) 1
 
3.0%
8 1
 
3.0%
4 1
 
3.0%
9 1
 
3.0%
35 1
 
3.0%

Length

2024-03-14T09:07:25.565228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:07:25.654069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
22
66.7%
1 4
 
12.1%
5 2
 
6.1%
개체수(마리 1
 
3.0%
8 1
 
3.0%
4 1
 
3.0%
9 1
 
3.0%
35 1
 
3.0%

11월.1
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)30.3%
Missing0
Missing (%)0.0%
Memory size396.0 B
-
22 
0.1
 
2
1.4
 
2
현존량(㎏)
 
1
1.7
 
1
Other values (5)
5 

Length

Max length6
Median length1
Mean length1.7575758
Min length1

Unique

Unique7 ?
Unique (%)21.2%

Sample

1st row현존량(㎏)
2nd row1.7
3rd row-
4th row0.1
5th row-

Common Values

ValueCountFrequency (%)
- 22
66.7%
0.1 2
 
6.1%
1.4 2
 
6.1%
현존량(㎏) 1
 
3.0%
1.7 1
 
3.0%
2.3 1
 
3.0%
0.4 1
 
3.0%
0.2 1
 
3.0%
0.9 1
 
3.0%
8.5 1
 
3.0%

Length

2024-03-14T09:07:25.745612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:07:25.828680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
22
66.7%
0.1 2
 
6.1%
1.4 2
 
6.1%
현존량(㎏ 1
 
3.0%
1.7 1
 
3.0%
2.3 1
 
3.0%
0.4 1
 
3.0%
0.2 1
 
3.0%
0.9 1
 
3.0%
8.5 1
 
3.0%

합계
Text

Distinct18
Distinct (%)54.5%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-03-14T09:07:25.943865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length1
Mean length1.6060606
Min length1

Characters and Unicode

Total characters53
Distinct characters16
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

Unique13 ?
Unique (%)39.4%

Sample

1st row개체수(마리)
2nd row18
3rd row5
4th row1
5th row12
ValueCountFrequency (%)
1 9
27.3%
12 4
12.1%
2 3
 
9.1%
5 2
 
6.1%
3 2
 
6.1%
67 1
 
3.0%
개체수(마리 1
 
3.0%
81 1
 
3.0%
44 1
 
3.0%
9 1
 
3.0%
Other values (8) 8
24.2%
2024-03-14T09:07:26.211540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 18
34.0%
2 8
15.1%
3 5
 
9.4%
4 5
 
9.4%
8 3
 
5.7%
7 3
 
5.7%
5 2
 
3.8%
6 1
 
1.9%
9 1
 
1.9%
개 1
 
1.9%
Other values (6) 6
 
11.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 46
86.8%
Other Letter 5
 
9.4%
Open Punctuation 1
 
1.9%
Close Punctuation 1
 
1.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 18
39.1%
2 8
17.4%
3 5
 
10.9%
4 5
 
10.9%
8 3
 
6.5%
7 3
 
6.5%
5 2
 
4.3%
6 1
 
2.2%
9 1
 
2.2%
Other Letter
ValueCountFrequency (%)
개 1
20.0%
체 1
20.0%
수 1
20.0%
마 1
20.0%
리 1
20.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 48
90.6%
Hangul 5
 
9.4%

Most frequent character per script

Common
ValueCountFrequency (%)
1 18
37.5%
2 8
16.7%
3 5
 
10.4%
4 5
 
10.4%
8 3
 
6.2%
7 3
 
6.2%
5 2
 
4.2%
6 1
 
2.1%
9 1
 
2.1%
( 1
 
2.1%
Hangul
ValueCountFrequency (%)
개 1
20.0%
체 1
20.0%
수 1
20.0%
마 1
20.0%
리 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 48
90.6%
Hangul 5
 
9.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 18
37.5%
2 8
16.7%
3 5
 
10.4%
4 5
 
10.4%
8 3
 
6.2%
7 3
 
6.2%
5 2
 
4.2%
6 1
 
2.1%
9 1
 
2.1%
( 1
 
2.1%
Hangul
ValueCountFrequency (%)
개 1
20.0%
체 1
20.0%
수 1
20.0%
마 1
20.0%
리 1
20.0%

합계.1
Text

Distinct24
Distinct (%)72.7%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-03-14T09:07:26.372994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.0606061
Min length1

Characters and Unicode

Total characters101
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 (%)51.5%

Sample

1st row현존량(㎏)
2nd row4.1
3rd row0.3
4th row0.1
5th row2.9
ValueCountFrequency (%)
0.3 3
 
9.1%
0.1 3
 
9.1%
0.2 2
 
6.1%
0.6 2
 
6.1%
0.7 2
 
6.1%
3.6 2
 
6.1%
1 2
 
6.1%
0.4 1
 
3.0%
1.1 1
 
3.0%
7.4 1
 
3.0%
Other values (14) 14
42.4%
2024-03-14T09:07:26.639595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 29
28.7%
0 17
16.8%
1 13
12.9%
3 8
 
7.9%
6 5
 
5.0%
9 5
 
5.0%
2 5
 
5.0%
7 4
 
4.0%
4 4
 
4.0%
5 3
 
3.0%
Other values (7) 8
 
7.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 66
65.3%
Other Punctuation 29
28.7%
Other Letter 3
 
3.0%
Open Punctuation 1
 
1.0%
Other Symbol 1
 
1.0%
Close Punctuation 1
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 17
25.8%
1 13
19.7%
3 8
12.1%
6 5
 
7.6%
9 5
 
7.6%
2 5
 
7.6%
7 4
 
6.1%
4 4
 
6.1%
5 3
 
4.5%
8 2
 
3.0%
Other Letter
ValueCountFrequency (%)
현 1
33.3%
존 1
33.3%
량 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Other Symbol
ValueCountFrequency (%)
㎏ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 98
97.0%
Hangul 3
 
3.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 29
29.6%
0 17
17.3%
1 13
13.3%
3 8
 
8.2%
6 5
 
5.1%
9 5
 
5.1%
2 5
 
5.1%
7 4
 
4.1%
4 4
 
4.1%
5 3
 
3.1%
Other values (4) 5
 
5.1%
Hangul
ValueCountFrequency (%)
현 1
33.3%
존 1
33.3%
량 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 97
96.0%
Hangul 3
 
3.0%
CJK Compat 1
 
1.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 29
29.9%
0 17
17.5%
1 13
13.4%
3 8
 
8.2%
6 5
 
5.2%
9 5
 
5.2%
2 5
 
5.2%
7 4
 
4.1%
4 4
 
4.1%
5 3
 
3.1%
Other values (3) 4
 
4.1%
Hangul
ValueCountFrequency (%)
현 1
33.3%
존 1
33.3%
량 1
33.3%
CJK Compat
ValueCountFrequency (%)
㎏ 1
100.0%

Correlations

2024-03-14T09:07:26.724803image/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
3월1.0001.0000.9860.8910.7470.7810.7050.8120.8660.8800.8570.9730.960
3월.11.0000.9861.0000.8070.8540.6790.4930.8340.7430.8650.8090.9140.927
5월1.0000.8910.8071.0000.9670.8890.9110.8270.8080.8510.8290.9950.926
5월.11.0000.7470.8540.9671.0000.8820.8920.8850.7750.8260.7310.9330.906
7월1.0000.7810.6790.8890.8821.0000.9810.8940.8910.8670.8100.9440.953
7월.11.0000.7050.4930.9110.8920.9811.0000.9020.8930.8440.7310.9000.946
9월1.0000.8120.8340.8270.8850.8940.9021.0000.9790.9020.9200.9460.977
9월.11.0000.8660.7430.8080.7750.8910.8930.9791.0000.8720.8890.9130.985
11월1.0000.8800.8650.8510.8260.8670.8440.9020.8721.0000.9760.9670.994
11월.11.0000.8570.8090.8290.7310.8100.7310.9200.8890.9761.0000.9470.931
합계1.0000.9730.9140.9950.9330.9440.9000.9460.9130.9670.9471.0000.959
합계.11.0000.9600.9270.9260.9060.9530.9460.9770.9850.9940.9310.9591.000
2024-03-14T09:07:26.832665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
3월.19월.111월7월11월.15월.19월5월3월
3월.11.0000.3570.6070.3130.4940.4030.3760.5080.918
9월.10.3571.0000.5440.5670.5670.3940.8400.4430.530
11월0.6070.5441.0000.5620.8850.5420.6790.6190.670
7월0.3130.5670.5621.0000.4620.5800.6050.5950.428
11월.10.4940.5670.8850.4621.0000.3990.7010.5520.598
5월.10.4030.3940.5420.5800.3991.0000.4490.8540.431
9월0.3760.8400.6790.6050.7010.4491.0000.5380.516
5월0.5080.4430.6190.5950.5520.8540.5381.0000.487
3월0.9180.5300.6700.4280.5980.4310.5160.4871.000
2024-03-14T09:07:26.929919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
3월3월.15월5월.17월9월9월.111월11월.1
3월1.0000.9180.4870.4310.4280.5160.5300.6700.598
3월.10.9181.0000.5080.4030.3130.3760.3570.6070.494
5월0.4870.5081.0000.8540.5950.5380.4430.6190.552
5월.10.4310.4030.8541.0000.5800.4490.3940.5420.399
7월0.4280.3130.5950.5801.0000.6050.5670.5620.462
9월0.5160.3760.5380.4490.6051.0000.8400.6790.701
9월.10.5300.3570.4430.3940.5670.8401.0000.5440.567
11월0.6700.6070.6190.5420.5620.6790.5441.0000.885
11월.10.5980.4940.5520.3990.4620.7010.5670.8851.000

Missing values

2024-03-14T09:07:23.399467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T09:07:23.542033image/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)20.720.43130.381.7184.1
2황해볼락(Sebastes koreanus)30.220.1------50.3
3개볼락(Sebastes pachycephalus)--------10.110.1
4쑤기미(Inimicus japonicus)--10.651.161.2--122.9
5삼세기(Hemitripterus villosus)1910.7------42.32313
6노래미(Hexagrammos agrammus)30.971.210.2----112.3
7넙치(Paralichthys olivadeus)----20.551.351.4123.2
8별넙치(Pseudorhombus cinnamoneus)----120.6----120.6
9문치가자미(Pleuronectes yokohamae)10.3--20.3----30.6
일자3월3월.15월5월.17월7월.19월9월.111월11월.1합계합계.1
23말쥐치(Thamnaconus modestus)--10.210.2----20.4
24웅어(Coili nasus)10.1--------10.1
25날매퉁이(Saurida elongata)----21----21
26꽃게(Portunus trituberculatus)----424.2385.410.1819.7
27민꽃게(Charybdis japonica)30.230.3573.8100.950.9786.1
28갯가재(Oratosquilla oratoria)551.220.180.520.1--671.9
29대하(Penaeus chinensis)--10.1------10.1
30참갑오징어(Sepia esculenta)--83.310.3----93.6
31피뿔고둥(Rapana venosa)--61.4233.561.191.4447.4
32합계9529.7399.217521.49017.1358.543485.9