Overview

Dataset statistics

Number of variables13
Number of observations28
Missing cells156
Missing cells (%)42.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.0 KiB
Average record size in memory108.7 B

Variable types

Text13

Alerts

Unnamed: 1 has 17 (60.7%) missing valuesMissing
Unnamed: 2 has 18 (64.3%) missing valuesMissing
Unnamed: 3 has 13 (46.4%) missing valuesMissing
Unnamed: 4 has 14 (50.0%) missing valuesMissing
Unnamed: 5 has 13 (46.4%) missing valuesMissing
Unnamed: 6 has 14 (50.0%) missing valuesMissing
Unnamed: 7 has 12 (42.9%) missing valuesMissing
Unnamed: 8 has 13 (46.4%) missing valuesMissing
Unnamed: 9 has 20 (71.4%) missing valuesMissing
Unnamed: 10 has 21 (75.0%) missing valuesMissing
Unnamed: 12 has 1 (3.6%) missing valuesMissing
부안해역에서 어획된 품종별 개체수 및 현존량(2014년) has unique valuesUnique

Reproduction

Analysis started2024-03-14 00:30:49.315045
Analysis finished2024-03-14 00:30:50.143054
Duration0.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

부안해역에서 어획된 품종별 개체수 및 현존량(2014년)
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2024-03-14T09:30:50.319343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length26.5
Mean length21.714286
Min length2

Characters and Unicode

Total characters608
Distinct characters95
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

Unique28 ?
Unique (%)100.0%

Sample

1st row일자
2nd row구분
3rd row조피볼락(Sebastes schlegelii)
4th row쑤기미(Inimicus japonicus)
5th row일지말락쏠치(Minous monodactylus)
ValueCountFrequency (%)
일자 1
 
1.9%
꽃게(portunus 1
 
1.9%
tanakae 1
 
1.9%
어름돔(plectorhinchus 1
 
1.9%
cinctus 1
 
1.9%
수조기(nivea 1
 
1.9%
albiflora 1
 
1.9%
보구치(pennahia 1
 
1.9%
argentata 1
 
1.9%
말쥐치(thamnaconus 1
 
1.9%
Other values (44) 44
81.5%
2024-03-14T09:30:50.641871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 60
 
9.9%
s 38
 
6.2%
e 32
 
5.3%
u 32
 
5.3%
i 32
 
5.3%
o 31
 
5.1%
26
 
4.3%
t 26
 
4.3%
l 25
 
4.1%
) 25
 
4.1%
Other values (85) 281
46.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 421
69.2%
Other Letter 86
 
14.1%
Space Separator 26
 
4.3%
Close Punctuation 25
 
4.1%
Open Punctuation 25
 
4.1%
Uppercase Letter 25
 
4.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
치 7
 
8.1%
어 4
 
4.7%
미 4
 
4.7%
기 3
 
3.5%
가 3
 
3.5%
꽃 2
 
2.3%
자 2
 
2.3%
게 2
 
2.3%
돔 2
 
2.3%
참 2
 
2.3%
Other values (47) 55
64.0%
Lowercase Letter
ValueCountFrequency (%)
a 60
14.3%
s 38
 
9.0%
e 32
 
7.6%
u 32
 
7.6%
i 32
 
7.6%
o 31
 
7.4%
t 26
 
6.2%
l 25
 
5.9%
n 24
 
5.7%
r 22
 
5.2%
Other values (14) 99
23.5%
Uppercase Letter
ValueCountFrequency (%)
P 8
32.0%
S 4
16.0%
C 2
 
8.0%
O 2
 
8.0%
L 2
 
8.0%
H 2
 
8.0%
R 1
 
4.0%
T 1
 
4.0%
N 1
 
4.0%
M 1
 
4.0%
Space Separator
ValueCountFrequency (%)
26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 446
73.4%
Hangul 86
 
14.1%
Common 76
 
12.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
치 7
 
8.1%
어 4
 
4.7%
미 4
 
4.7%
기 3
 
3.5%
가 3
 
3.5%
꽃 2
 
2.3%
자 2
 
2.3%
게 2
 
2.3%
돔 2
 
2.3%
참 2
 
2.3%
Other values (47) 55
64.0%
Latin
ValueCountFrequency (%)
a 60
13.5%
s 38
 
8.5%
e 32
 
7.2%
u 32
 
7.2%
i 32
 
7.2%
o 31
 
7.0%
t 26
 
5.8%
l 25
 
5.6%
n 24
 
5.4%
r 22
 
4.9%
Other values (25) 124
27.8%
Common
ValueCountFrequency (%)
26
34.2%
) 25
32.9%
( 25
32.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 522
85.9%
Hangul 86
 
14.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 60
 
11.5%
s 38
 
7.3%
e 32
 
6.1%
u 32
 
6.1%
i 32
 
6.1%
o 31
 
5.9%
26
 
5.0%
t 26
 
5.0%
l 25
 
4.8%
) 25
 
4.8%
Other values (28) 195
37.4%
Hangul
ValueCountFrequency (%)
치 7
 
8.1%
어 4
 
4.7%
미 4
 
4.7%
기 3
 
3.5%
가 3
 
3.5%
꽃 2
 
2.3%
자 2
 
2.3%
게 2
 
2.3%
돔 2
 
2.3%
참 2
 
2.3%
Other values (47) 55
64.0%

Unnamed: 1
Text

MISSING 

Distinct8
Distinct (%)72.7%
Missing17
Missing (%)60.7%
Memory size356.0 B
2024-03-14T09:30:50.769728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length1
Mean length1.8181818
Min length1

Characters and Unicode

Total characters20
Distinct characters12
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

Unique5 ?
Unique (%)45.5%

Sample

1st row3월
2nd row개체수(마리)
3rd row1
4th row7
5th row2
ValueCountFrequency (%)
1 2
18.2%
2 2
18.2%
3 2
18.2%
3월 1
9.1%
개체수(마리 1
9.1%
7 1
9.1%
13 1
9.1%
32 1
9.1%
2024-03-14T09:30:50.991962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 5
25.0%
1 3
15.0%
2 3
15.0%
월 1
 
5.0%
개 1
 
5.0%
체 1
 
5.0%
수 1
 
5.0%
( 1
 
5.0%
마 1
 
5.0%
리 1
 
5.0%
Other values (2) 2
 
10.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12
60.0%
Other Letter 6
30.0%
Open Punctuation 1
 
5.0%
Close Punctuation 1
 
5.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
월 1
16.7%
개 1
16.7%
체 1
16.7%
수 1
16.7%
마 1
16.7%
리 1
16.7%
Decimal Number
ValueCountFrequency (%)
3 5
41.7%
1 3
25.0%
2 3
25.0%
7 1
 
8.3%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14
70.0%
Hangul 6
30.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 5
35.7%
1 3
21.4%
2 3
21.4%
( 1
 
7.1%
) 1
 
7.1%
7 1
 
7.1%
Hangul
ValueCountFrequency (%)
월 1
16.7%
개 1
16.7%
체 1
16.7%
수 1
16.7%
마 1
16.7%
리 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14
70.0%
Hangul 6
30.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 5
35.7%
1 3
21.4%
2 3
21.4%
( 1
 
7.1%
) 1
 
7.1%
7 1
 
7.1%
Hangul
ValueCountFrequency (%)
월 1
16.7%
개 1
16.7%
체 1
16.7%
수 1
16.7%
마 1
16.7%
리 1
16.7%

Unnamed: 2
Text

MISSING 

Distinct10
Distinct (%)100.0%
Missing18
Missing (%)64.3%
Memory size356.0 B
2024-03-14T09:30:51.129634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.3
Min length4

Characters and Unicode

Total characters43
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

Unique10 ?
Unique (%)100.0%

Sample

1st row현존량(㎏)
2nd row0.14
3rd row2.28
4th row0.19
5th row5.76
ValueCountFrequency (%)
현존량(㎏ 1
10.0%
0.14 1
10.0%
2.28 1
10.0%
0.19 1
10.0%
5.76 1
10.0%
0.03 1
10.0%
0.13 1
10.0%
0.07 1
10.0%
2.64 1
10.0%
11.24 1
10.0%
2024-03-14T09:30:51.461674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 9
20.9%
0 7
16.3%
1 5
11.6%
2 4
9.3%
4 3
 
7.0%
6 2
 
4.7%
7 2
 
4.7%
3 2
 
4.7%
존 1
 
2.3%
) 1
 
2.3%
Other values (7) 7
16.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 28
65.1%
Other Punctuation 9
 
20.9%
Other Letter 3
 
7.0%
Close Punctuation 1
 
2.3%
Other Symbol 1
 
2.3%
Open Punctuation 1
 
2.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7
25.0%
1 5
17.9%
2 4
14.3%
4 3
10.7%
6 2
 
7.1%
7 2
 
7.1%
3 2
 
7.1%
8 1
 
3.6%
9 1
 
3.6%
5 1
 
3.6%
Other Letter
ValueCountFrequency (%)
존 1
33.3%
량 1
33.3%
현 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Symbol
ValueCountFrequency (%)
㎏ 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 40
93.0%
Hangul 3
 
7.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 9
22.5%
0 7
17.5%
1 5
12.5%
2 4
10.0%
4 3
 
7.5%
6 2
 
5.0%
7 2
 
5.0%
3 2
 
5.0%
) 1
 
2.5%
㎏ 1
 
2.5%
Other values (4) 4
10.0%
Hangul
ValueCountFrequency (%)
존 1
33.3%
량 1
33.3%
현 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 39
90.7%
Hangul 3
 
7.0%
CJK Compat 1
 
2.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 9
23.1%
0 7
17.9%
1 5
12.8%
2 4
10.3%
4 3
 
7.7%
6 2
 
5.1%
7 2
 
5.1%
3 2
 
5.1%
) 1
 
2.6%
8 1
 
2.6%
Other values (3) 3
 
7.7%
Hangul
ValueCountFrequency (%)
존 1
33.3%
량 1
33.3%
현 1
33.3%
CJK Compat
ValueCountFrequency (%)
㎏ 1
100.0%

Unnamed: 3
Text

MISSING 

Distinct8
Distinct (%)53.3%
Missing13
Missing (%)46.4%
Memory size356.0 B
2024-03-14T09:30:51.594983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length1
Mean length1.6
Min length1

Characters and Unicode

Total characters24
Distinct characters14
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

Unique6 ?
Unique (%)40.0%

Sample

1st row5월
2nd row개체수(마리)
3rd row7
4th row1
5th row1
ValueCountFrequency (%)
1 6
40.0%
2 3
20.0%
5월 1
 
6.7%
개체수(마리 1
 
6.7%
7 1
 
6.7%
12 1
 
6.7%
6 1
 
6.7%
37 1
 
6.7%
2024-03-14T09:30:51.816647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 7
29.2%
2 4
16.7%
7 2
 
8.3%
5 1
 
4.2%
월 1
 
4.2%
개 1
 
4.2%
체 1
 
4.2%
수 1
 
4.2%
( 1
 
4.2%
마 1
 
4.2%
Other values (4) 4
16.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16
66.7%
Other Letter 6
 
25.0%
Open Punctuation 1
 
4.2%
Close Punctuation 1
 
4.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 7
43.8%
2 4
25.0%
7 2
 
12.5%
5 1
 
6.2%
6 1
 
6.2%
3 1
 
6.2%
Other Letter
ValueCountFrequency (%)
월 1
16.7%
개 1
16.7%
체 1
16.7%
수 1
16.7%
마 1
16.7%
리 1
16.7%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18
75.0%
Hangul 6
 
25.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 7
38.9%
2 4
22.2%
7 2
 
11.1%
5 1
 
5.6%
( 1
 
5.6%
) 1
 
5.6%
6 1
 
5.6%
3 1
 
5.6%
Hangul
ValueCountFrequency (%)
월 1
16.7%
개 1
16.7%
체 1
16.7%
수 1
16.7%
마 1
16.7%
리 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18
75.0%
Hangul 6
 
25.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 7
38.9%
2 4
22.2%
7 2
 
11.1%
5 1
 
5.6%
( 1
 
5.6%
) 1
 
5.6%
6 1
 
5.6%
3 1
 
5.6%
Hangul
ValueCountFrequency (%)
월 1
16.7%
개 1
16.7%
체 1
16.7%
수 1
16.7%
마 1
16.7%
리 1
16.7%

Unnamed: 4
Text

MISSING 

Distinct13
Distinct (%)92.9%
Missing14
Missing (%)50.0%
Memory size356.0 B
2024-03-14T09:30:51.934919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.0714286
Min length3

Characters and Unicode

Total characters57
Distinct characters16
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

Unique12 ?
Unique (%)85.7%

Sample

1st row현존량(㎏)
2nd row1.65
3rd row0.09
4th row0.17
5th row0.86
ValueCountFrequency (%)
0.09 2
14.3%
현존량(㎏ 1
 
7.1%
1.65 1
 
7.1%
0.17 1
 
7.1%
0.86 1
 
7.1%
0.01 1
 
7.1%
0.89 1
 
7.1%
0.07 1
 
7.1%
0.91 1
 
7.1%
0.02 1
 
7.1%
Other values (3) 3
21.4%
2024-03-14T09:30:52.169796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 15
26.3%
. 13
22.8%
9 5
 
8.8%
8 5
 
8.8%
1 4
 
7.0%
3 3
 
5.3%
6 2
 
3.5%
7 2
 
3.5%
현 1
 
1.8%
존 1
 
1.8%
Other values (6) 6
 
10.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 38
66.7%
Other Punctuation 13
 
22.8%
Other Letter 3
 
5.3%
Open Punctuation 1
 
1.8%
Other Symbol 1
 
1.8%
Close Punctuation 1
 
1.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 15
39.5%
9 5
 
13.2%
8 5
 
13.2%
1 4
 
10.5%
3 3
 
7.9%
6 2
 
5.3%
7 2
 
5.3%
5 1
 
2.6%
2 1
 
2.6%
Other Letter
ValueCountFrequency (%)
현 1
33.3%
존 1
33.3%
량 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 13
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 54
94.7%
Hangul 3
 
5.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 15
27.8%
. 13
24.1%
9 5
 
9.3%
8 5
 
9.3%
1 4
 
7.4%
3 3
 
5.6%
6 2
 
3.7%
7 2
 
3.7%
( 1
 
1.9%
㎏ 1
 
1.9%
Other values (3) 3
 
5.6%
Hangul
ValueCountFrequency (%)
현 1
33.3%
존 1
33.3%
량 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 53
93.0%
Hangul 3
 
5.3%
CJK Compat 1
 
1.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 15
28.3%
. 13
24.5%
9 5
 
9.4%
8 5
 
9.4%
1 4
 
7.5%
3 3
 
5.7%
6 2
 
3.8%
7 2
 
3.8%
( 1
 
1.9%
) 1
 
1.9%
Other values (2) 2
 
3.8%
Hangul
ValueCountFrequency (%)
현 1
33.3%
존 1
33.3%
량 1
33.3%
CJK Compat
ValueCountFrequency (%)
㎏ 1
100.0%

Unnamed: 5
Text

MISSING 

Distinct13
Distinct (%)86.7%
Missing13
Missing (%)46.4%
Memory size356.0 B
2024-03-14T09:30:52.295018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length1.9333333
Min length1

Characters and Unicode

Total characters29
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

Unique11 ?
Unique (%)73.3%

Sample

1st row7월
2nd row개체수(마리)
3rd row5
4th row23
5th row3
ValueCountFrequency (%)
2 2
13.3%
1 2
13.3%
7월 1
 
6.7%
개체수(마리 1
 
6.7%
5 1
 
6.7%
23 1
 
6.7%
3 1
 
6.7%
4 1
 
6.7%
53 1
 
6.7%
67 1
 
6.7%
Other values (3) 3
20.0%
2024-03-14T09:30:52.518938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 5
17.2%
2 4
13.8%
1 3
10.3%
7 2
 
6.9%
5 2
 
6.9%
4 2
 
6.9%
0 2
 
6.9%
월 1
 
3.4%
개 1
 
3.4%
체 1
 
3.4%
Other values (6) 6
20.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 21
72.4%
Other Letter 6
 
20.7%
Open Punctuation 1
 
3.4%
Close Punctuation 1
 
3.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 5
23.8%
2 4
19.0%
1 3
14.3%
7 2
 
9.5%
5 2
 
9.5%
4 2
 
9.5%
0 2
 
9.5%
6 1
 
4.8%
Other Letter
ValueCountFrequency (%)
월 1
16.7%
개 1
16.7%
체 1
16.7%
수 1
16.7%
마 1
16.7%
리 1
16.7%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 23
79.3%
Hangul 6
 
20.7%

Most frequent character per script

Common
ValueCountFrequency (%)
3 5
21.7%
2 4
17.4%
1 3
13.0%
7 2
 
8.7%
5 2
 
8.7%
4 2
 
8.7%
0 2
 
8.7%
( 1
 
4.3%
) 1
 
4.3%
6 1
 
4.3%
Hangul
ValueCountFrequency (%)
월 1
16.7%
개 1
16.7%
체 1
16.7%
수 1
16.7%
마 1
16.7%
리 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23
79.3%
Hangul 6
 
20.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 5
21.7%
2 4
17.4%
1 3
13.0%
7 2
 
8.7%
5 2
 
8.7%
4 2
 
8.7%
0 2
 
8.7%
( 1
 
4.3%
) 1
 
4.3%
6 1
 
4.3%
Hangul
ValueCountFrequency (%)
월 1
16.7%
개 1
16.7%
체 1
16.7%
수 1
16.7%
마 1
16.7%
리 1
16.7%

Unnamed: 6
Text

MISSING 

Distinct13
Distinct (%)92.9%
Missing14
Missing (%)50.0%
Memory size356.0 B
2024-03-14T09:30:52.668578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.5714286
Min length3

Characters and Unicode

Total characters50
Distinct characters16
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

Unique12 ?
Unique (%)85.7%

Sample

1st row현존량(㎏)
2nd row1.4
3rd row2.92
4th row1.6
5th row0.02
ValueCountFrequency (%)
0.02 2
14.3%
현존량(㎏ 1
 
7.1%
1.4 1
 
7.1%
2.92 1
 
7.1%
1.6 1
 
7.1%
0.8 1
 
7.1%
0.04 1
 
7.1%
0.3 1
 
7.1%
6.6 1
 
7.1%
4.7 1
 
7.1%
Other values (3) 3
21.4%
2024-03-14T09:30:52.887625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 13
26.0%
0 8
16.0%
2 5
 
10.0%
1 4
 
8.0%
4 3
 
6.0%
9 3
 
6.0%
6 3
 
6.0%
8 2
 
4.0%
3 2
 
4.0%
현 1
 
2.0%
Other values (6) 6
12.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 31
62.0%
Other Punctuation 13
26.0%
Other Letter 3
 
6.0%
Open Punctuation 1
 
2.0%
Other Symbol 1
 
2.0%
Close Punctuation 1
 
2.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8
25.8%
2 5
16.1%
1 4
12.9%
4 3
 
9.7%
9 3
 
9.7%
6 3
 
9.7%
8 2
 
6.5%
3 2
 
6.5%
7 1
 
3.2%
Other Letter
ValueCountFrequency (%)
현 1
33.3%
존 1
33.3%
량 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 13
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 47
94.0%
Hangul 3
 
6.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 13
27.7%
0 8
17.0%
2 5
 
10.6%
1 4
 
8.5%
4 3
 
6.4%
9 3
 
6.4%
6 3
 
6.4%
8 2
 
4.3%
3 2
 
4.3%
( 1
 
2.1%
Other values (3) 3
 
6.4%
Hangul
ValueCountFrequency (%)
현 1
33.3%
존 1
33.3%
량 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 46
92.0%
Hangul 3
 
6.0%
CJK Compat 1
 
2.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 13
28.3%
0 8
17.4%
2 5
 
10.9%
1 4
 
8.7%
4 3
 
6.5%
9 3
 
6.5%
6 3
 
6.5%
8 2
 
4.3%
3 2
 
4.3%
( 1
 
2.2%
Other values (2) 2
 
4.3%
Hangul
ValueCountFrequency (%)
현 1
33.3%
존 1
33.3%
량 1
33.3%
CJK Compat
ValueCountFrequency (%)
㎏ 1
100.0%

Unnamed: 7
Text

MISSING 

Distinct12
Distinct (%)75.0%
Missing12
Missing (%)42.9%
Memory size356.0 B
2024-03-14T09:30:53.001405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length1.9375
Min length1

Characters and Unicode

Total characters31
Distinct characters15
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

Unique10 ?
Unique (%)62.5%

Sample

1st row9월
2nd row개체수(마리)
3rd row16
4th row10
5th row1
ValueCountFrequency (%)
1 4
25.0%
2 2
12.5%
9월 1
 
6.2%
개체수(마리 1
 
6.2%
16 1
 
6.2%
10 1
 
6.2%
11 1
 
6.2%
12 1
 
6.2%
22 1
 
6.2%
65 1
 
6.2%
Other values (2) 2
12.5%
2024-03-14T09:30:53.204009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 10
32.3%
2 5
16.1%
9 2
 
6.5%
6 2
 
6.5%
5 2
 
6.5%
월 1
 
3.2%
개 1
 
3.2%
체 1
 
3.2%
수 1
 
3.2%
( 1
 
3.2%
Other values (5) 5
16.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 23
74.2%
Other Letter 6
 
19.4%
Open Punctuation 1
 
3.2%
Close Punctuation 1
 
3.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 10
43.5%
2 5
21.7%
9 2
 
8.7%
6 2
 
8.7%
5 2
 
8.7%
0 1
 
4.3%
4 1
 
4.3%
Other Letter
ValueCountFrequency (%)
월 1
16.7%
개 1
16.7%
체 1
16.7%
수 1
16.7%
마 1
16.7%
리 1
16.7%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 25
80.6%
Hangul 6
 
19.4%

Most frequent character per script

Common
ValueCountFrequency (%)
1 10
40.0%
2 5
20.0%
9 2
 
8.0%
6 2
 
8.0%
5 2
 
8.0%
( 1
 
4.0%
) 1
 
4.0%
0 1
 
4.0%
4 1
 
4.0%
Hangul
ValueCountFrequency (%)
월 1
16.7%
개 1
16.7%
체 1
16.7%
수 1
16.7%
마 1
16.7%
리 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 25
80.6%
Hangul 6
 
19.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 10
40.0%
2 5
20.0%
9 2
 
8.0%
6 2
 
8.0%
5 2
 
8.0%
( 1
 
4.0%
) 1
 
4.0%
0 1
 
4.0%
4 1
 
4.0%
Hangul
ValueCountFrequency (%)
월 1
16.7%
개 1
16.7%
체 1
16.7%
수 1
16.7%
마 1
16.7%
리 1
16.7%

Unnamed: 8
Text

MISSING 

Distinct14
Distinct (%)93.3%
Missing13
Missing (%)46.4%
Memory size356.0 B
2024-03-14T09:30:53.330462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length3.9333333
Min length3

Characters and Unicode

Total characters59
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

Unique13 ?
Unique (%)86.7%

Sample

1st row현존량(㎏)
2nd row4.02
3rd row1.56
4th row0.07
5th row0.2
ValueCountFrequency (%)
0.2 2
13.3%
현존량(㎏ 1
 
6.7%
4.02 1
 
6.7%
1.56 1
 
6.7%
0.07 1
 
6.7%
3.49 1
 
6.7%
2.6 1
 
6.7%
0.08 1
 
6.7%
0.45 1
 
6.7%
3.75 1
 
6.7%
Other values (4) 4
26.7%
2024-03-14T09:30:53.607119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 14
23.7%
0 12
20.3%
2 5
 
8.5%
3 5
 
8.5%
4 4
 
6.8%
7 3
 
5.1%
6 3
 
5.1%
5 3
 
5.1%
8 2
 
3.4%
㎏ 1
 
1.7%
Other values (7) 7
11.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 39
66.1%
Other Punctuation 14
 
23.7%
Other Letter 3
 
5.1%
Other Symbol 1
 
1.7%
Open Punctuation 1
 
1.7%
Close Punctuation 1
 
1.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12
30.8%
2 5
12.8%
3 5
12.8%
4 4
 
10.3%
7 3
 
7.7%
6 3
 
7.7%
5 3
 
7.7%
8 2
 
5.1%
1 1
 
2.6%
9 1
 
2.6%
Other Letter
ValueCountFrequency (%)
량 1
33.3%
존 1
33.3%
현 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 14
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 56
94.9%
Hangul 3
 
5.1%

Most frequent character per script

Common
ValueCountFrequency (%)
. 14
25.0%
0 12
21.4%
2 5
 
8.9%
3 5
 
8.9%
4 4
 
7.1%
7 3
 
5.4%
6 3
 
5.4%
5 3
 
5.4%
8 2
 
3.6%
㎏ 1
 
1.8%
Other values (4) 4
 
7.1%
Hangul
ValueCountFrequency (%)
량 1
33.3%
존 1
33.3%
현 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 55
93.2%
Hangul 3
 
5.1%
CJK Compat 1
 
1.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 14
25.5%
0 12
21.8%
2 5
 
9.1%
3 5
 
9.1%
4 4
 
7.3%
7 3
 
5.5%
6 3
 
5.5%
5 3
 
5.5%
8 2
 
3.6%
1 1
 
1.8%
Other values (3) 3
 
5.5%
CJK Compat
ValueCountFrequency (%)
㎏ 1
100.0%
Hangul
ValueCountFrequency (%)
량 1
33.3%
존 1
33.3%
현 1
33.3%

Unnamed: 9
Text

MISSING 

Distinct8
Distinct (%)100.0%
Missing20
Missing (%)71.4%
Memory size356.0 B
2024-03-14T09:30:53.788557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length2.625
Min length1

Characters and Unicode

Total characters21
Distinct characters14
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

Unique8 ?
Unique (%)100.0%

Sample

1st row11월
2nd row개체수(마리)
3rd row76
4th row2
5th row4
ValueCountFrequency (%)
11월 1
12.5%
개체수(마리 1
12.5%
76 1
12.5%
2 1
12.5%
4 1
12.5%
16 1
12.5%
12 1
12.5%
110 1
12.5%
2024-03-14T09:30:54.016929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 6
28.6%
6 2
 
9.5%
2 2
 
9.5%
월 1
 
4.8%
개 1
 
4.8%
체 1
 
4.8%
수 1
 
4.8%
( 1
 
4.8%
마 1
 
4.8%
리 1
 
4.8%
Other values (4) 4
19.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13
61.9%
Other Letter 6
28.6%
Open Punctuation 1
 
4.8%
Close Punctuation 1
 
4.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 6
46.2%
6 2
 
15.4%
2 2
 
15.4%
7 1
 
7.7%
4 1
 
7.7%
0 1
 
7.7%
Other Letter
ValueCountFrequency (%)
월 1
16.7%
개 1
16.7%
체 1
16.7%
수 1
16.7%
마 1
16.7%
리 1
16.7%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15
71.4%
Hangul 6
 
28.6%

Most frequent character per script

Common
ValueCountFrequency (%)
1 6
40.0%
6 2
 
13.3%
2 2
 
13.3%
( 1
 
6.7%
) 1
 
6.7%
7 1
 
6.7%
4 1
 
6.7%
0 1
 
6.7%
Hangul
ValueCountFrequency (%)
월 1
16.7%
개 1
16.7%
체 1
16.7%
수 1
16.7%
마 1
16.7%
리 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15
71.4%
Hangul 6
 
28.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 6
40.0%
6 2
 
13.3%
2 2
 
13.3%
( 1
 
6.7%
) 1
 
6.7%
7 1
 
6.7%
4 1
 
6.7%
0 1
 
6.7%
Hangul
ValueCountFrequency (%)
월 1
16.7%
개 1
16.7%
체 1
16.7%
수 1
16.7%
마 1
16.7%
리 1
16.7%

Unnamed: 10
Text

MISSING 

Distinct6
Distinct (%)85.7%
Missing21
Missing (%)75.0%
Memory size356.0 B
2024-03-14T09:30:54.117514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.7142857
Min length3

Characters and Unicode

Total characters26
Distinct characters15
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

Unique5 ?
Unique (%)71.4%

Sample

1st row현존량(㎏)
2nd row24.7
3rd row0.7
4th row1.4
5th row9.5
ValueCountFrequency (%)
1.4 2
28.6%
현존량(㎏ 1
14.3%
24.7 1
14.3%
0.7 1
14.3%
9.5 1
14.3%
37.7 1
14.3%
2024-03-14T09:30:54.332738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 6
23.1%
7 4
15.4%
4 3
11.5%
1 2
 
7.7%
현 1
 
3.8%
존 1
 
3.8%
량 1
 
3.8%
( 1
 
3.8%
㎏ 1
 
3.8%
) 1
 
3.8%
Other values (5) 5
19.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14
53.8%
Other Punctuation 6
23.1%
Other Letter 3
 
11.5%
Open Punctuation 1
 
3.8%
Other Symbol 1
 
3.8%
Close Punctuation 1
 
3.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 4
28.6%
4 3
21.4%
1 2
14.3%
2 1
 
7.1%
0 1
 
7.1%
9 1
 
7.1%
5 1
 
7.1%
3 1
 
7.1%
Other Letter
ValueCountFrequency (%)
현 1
33.3%
존 1
33.3%
량 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 6
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 23
88.5%
Hangul 3
 
11.5%

Most frequent character per script

Common
ValueCountFrequency (%)
. 6
26.1%
7 4
17.4%
4 3
13.0%
1 2
 
8.7%
( 1
 
4.3%
㎏ 1
 
4.3%
) 1
 
4.3%
2 1
 
4.3%
0 1
 
4.3%
9 1
 
4.3%
Other values (2) 2
 
8.7%
Hangul
ValueCountFrequency (%)
현 1
33.3%
존 1
33.3%
량 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22
84.6%
Hangul 3
 
11.5%
CJK Compat 1
 
3.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 6
27.3%
7 4
18.2%
4 3
13.6%
1 2
 
9.1%
( 1
 
4.5%
) 1
 
4.5%
2 1
 
4.5%
0 1
 
4.5%
9 1
 
4.5%
5 1
 
4.5%
Hangul
ValueCountFrequency (%)
현 1
33.3%
존 1
33.3%
량 1
33.3%
CJK Compat
ValueCountFrequency (%)
㎏ 1
100.0%

Unnamed: 11
Text

Distinct17
Distinct (%)60.7%
Missing0
Missing (%)0.0%
Memory size356.0 B
2024-03-14T09:30:54.450314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length1
Mean length1.7142857
Min length1

Characters and Unicode

Total characters48
Distinct characters19
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 (%)46.4%

Sample

1st row합계
2nd row개체수(마리)
3rd row105
4th row33
5th row1
ValueCountFrequency (%)
2 6
21.4%
1 5
17.9%
3 2
 
7.1%
16 2
 
7.1%
159 1
 
3.6%
4 1
 
3.6%
37 1
 
3.6%
31 1
 
3.6%
8 1
 
3.6%
76 1
 
3.6%
Other values (7) 7
25.0%
2024-03-14T09:30:54.658246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 11
22.9%
2 7
14.6%
3 7
14.6%
5 4
 
8.3%
6 3
 
6.2%
7 2
 
4.2%
9 2
 
4.2%
( 1
 
2.1%
8 1
 
2.1%
) 1
 
2.1%
Other values (9) 9
18.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 39
81.2%
Other Letter 7
 
14.6%
Open Punctuation 1
 
2.1%
Close Punctuation 1
 
2.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 11
28.2%
2 7
17.9%
3 7
17.9%
5 4
 
10.3%
6 3
 
7.7%
7 2
 
5.1%
9 2
 
5.1%
8 1
 
2.6%
0 1
 
2.6%
4 1
 
2.6%
Other Letter
ValueCountFrequency (%)
리 1
14.3%
마 1
14.3%
개 1
14.3%
수 1
14.3%
체 1
14.3%
계 1
14.3%
합 1
14.3%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 41
85.4%
Hangul 7
 
14.6%

Most frequent character per script

Common
ValueCountFrequency (%)
1 11
26.8%
2 7
17.1%
3 7
17.1%
5 4
 
9.8%
6 3
 
7.3%
7 2
 
4.9%
9 2
 
4.9%
( 1
 
2.4%
8 1
 
2.4%
) 1
 
2.4%
Other values (2) 2
 
4.9%
Hangul
ValueCountFrequency (%)
리 1
14.3%
마 1
14.3%
개 1
14.3%
수 1
14.3%
체 1
14.3%
계 1
14.3%
합 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 41
85.4%
Hangul 7
 
14.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 11
26.8%
2 7
17.1%
3 7
17.1%
5 4
 
9.8%
6 3
 
7.3%
7 2
 
4.9%
9 2
 
4.9%
( 1
 
2.4%
8 1
 
2.4%
) 1
 
2.4%
Other values (2) 2
 
4.9%
Hangul
ValueCountFrequency (%)
리 1
14.3%
마 1
14.3%
개 1
14.3%
수 1
14.3%
체 1
14.3%
계 1
14.3%
합 1
14.3%

Unnamed: 12
Text

MISSING 

Distinct27
Distinct (%)100.0%
Missing1
Missing (%)3.6%
Memory size356.0 B
2024-03-14T09:30:54.813082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.1481481
Min length3

Characters and Unicode

Total characters112
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

Unique27 ?
Unique (%)100.0%

Sample

1st row현존량(㎏)
2nd row31.91
3rd row4.48
4th row0.07
5th row2.98
ValueCountFrequency (%)
현존량(㎏ 1
 
3.7%
9.5 1
 
3.7%
9.94 1
 
3.7%
0.09 1
 
3.7%
10.23 1
 
3.7%
0.14 1
 
3.7%
10.62 1
 
3.7%
10.38 1
 
3.7%
0.45 1
 
3.7%
0.3 1
 
3.7%
Other values (17) 17
63.0%
2024-03-14T09:30:55.109587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 26
23.2%
0 23
20.5%
9 11
9.8%
1 11
9.8%
8 7
 
6.2%
4 6
 
5.4%
5 5
 
4.5%
2 5
 
4.5%
3 5
 
4.5%
6 4
 
3.6%
Other values (7) 9
 
8.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 80
71.4%
Other Punctuation 26
 
23.2%
Other Letter 3
 
2.7%
Close Punctuation 1
 
0.9%
Other Symbol 1
 
0.9%
Open Punctuation 1
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 23
28.7%
9 11
13.8%
1 11
13.8%
8 7
 
8.8%
4 6
 
7.5%
5 5
 
6.2%
2 5
 
6.2%
3 5
 
6.2%
6 4
 
5.0%
7 3
 
3.8%
Other Letter
ValueCountFrequency (%)
존 1
33.3%
량 1
33.3%
현 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Symbol
ValueCountFrequency (%)
㎏ 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 109
97.3%
Hangul 3
 
2.7%

Most frequent character per script

Common
ValueCountFrequency (%)
. 26
23.9%
0 23
21.1%
9 11
10.1%
1 11
10.1%
8 7
 
6.4%
4 6
 
5.5%
5 5
 
4.6%
2 5
 
4.6%
3 5
 
4.6%
6 4
 
3.7%
Other values (4) 6
 
5.5%
Hangul
ValueCountFrequency (%)
존 1
33.3%
량 1
33.3%
현 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 108
96.4%
Hangul 3
 
2.7%
CJK Compat 1
 
0.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 26
24.1%
0 23
21.3%
9 11
10.2%
1 11
10.2%
8 7
 
6.5%
4 6
 
5.6%
5 5
 
4.6%
2 5
 
4.6%
3 5
 
4.6%
6 4
 
3.7%
Other values (3) 5
 
4.6%
Hangul
ValueCountFrequency (%)
존 1
33.3%
량 1
33.3%
현 1
33.3%
CJK Compat
ValueCountFrequency (%)
㎏ 1
100.0%

Correlations

2024-03-14T09:30:55.189545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
부안해역에서 어획된 품종별 개체수 및 현존량(2014년)Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12
부안해역에서 어획된 품종별 개체수 및 현존량(2014년)1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
Unnamed: 11.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
Unnamed: 21.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
Unnamed: 31.0001.0001.0001.0000.9530.8950.8601.0001.0001.0001.0000.9901.000
Unnamed: 41.0001.0001.0000.9531.0001.0001.0001.0001.0001.0001.0000.9631.000
Unnamed: 51.0001.0001.0000.8951.0001.0001.0001.0001.0001.0001.0001.0001.000
Unnamed: 61.0001.0001.0000.8601.0001.0001.0001.0001.0001.0001.0001.0001.000
Unnamed: 71.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
Unnamed: 81.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0000.9001.000
Unnamed: 91.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
Unnamed: 101.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
Unnamed: 111.0001.0001.0000.9900.9631.0001.0001.0000.9001.0001.0001.0001.000
Unnamed: 121.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000

Missing values

2024-03-14T09:30:49.765356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T09:30:49.899152image/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.
2024-03-14T09:30:50.033362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

부안해역에서 어획된 품종별 개체수 및 현존량(2014년)Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12
0일자3월<NA>5월<NA>7월<NA>9월<NA>11월<NA>합계<NA>
1구분개체수(마리)현존량(㎏)개체수(마리)현존량(㎏)개체수(마리)현존량(㎏)개체수(마리)현존량(㎏)개체수(마리)현존량(㎏)개체수(마리)현존량(㎏)
2조피볼락(Sebastes schlegelii)10.1471.6551.4164.027624.710531.91
3쑤기미(Inimicus japonicus)<NA><NA><NA><NA>232.92101.56<NA><NA>334.48
4일지말락쏠치(Minous monodactylus)<NA><NA><NA><NA><NA><NA>10.07<NA><NA>10.07
5삼세기(Hemitripterus villosus)72.28<NA><NA><NA><NA><NA><NA>20.792.98
6노래미(Hexagrammos agrammus)<NA><NA>10.09<NA><NA>20.2<NA><NA>30.29
7넙치(Paralichthys olivadeus)<NA><NA><NA><NA><NA><NA>113.4941.4154.89
8별넙치(Pseudorhombus cinnamoneus)<NA><NA><NA><NA><NA><NA>20.2<NA><NA>20.2
9문치가자미(Pleuronectes yokohamae)20.19<NA><NA><NA><NA><NA><NA><NA><NA>20.19
부안해역에서 어획된 품종별 개체수 및 현존량(2014년)Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12
18보구치(Pennahia argentata)<NA><NA>10.0710.04<NA><NA><NA><NA>20.11
19말쥐치(Thamnaconus modestus)<NA><NA><NA><NA>10.3<NA><NA><NA><NA>10.3
20날매퉁이(Saurida elongata)<NA><NA><NA><NA><NA><NA>10.45<NA><NA>10.45
21꽃게(Portunus trituberculatus)10.03<NA><NA>536.6223.75<NA><NA>7610.38
22민꽃게(Charybdis japonica)30.13120.91674.7653.48121.415910.62
23갯가재(Oratosquilla oratoria)30.0720.0220.0210.03<NA><NA>80.14
24참갑오징어(Sepia esculenta)<NA><NA>10.33309.9<NA><NA><NA><NA>3110.23
25주꾸미(Octopus ochellatus )<NA><NA>20.09<NA><NA><NA><NA><NA><NA>20.09
26피뿔고둥(Rapana venosa)132.6463.8132.850.7<NA><NA>379.94
27합계3211.24378.8920431.114920.6311037.7532109.56