Overview

Dataset statistics

Number of variables13
Number of observations34
Missing cells6
Missing cells (%)1.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.6 KiB
Average record size in memory107.9 B

Variable types

Text1
Unsupported12

Alerts

Unnamed: 2 has 1 (2.9%) missing valuesMissing
Unnamed: 4 has 1 (2.9%) missing valuesMissing
Unnamed: 6 has 1 (2.9%) missing valuesMissing
Unnamed: 8 has 1 (2.9%) missing valuesMissing
Unnamed: 10 has 1 (2.9%) missing valuesMissing
Unnamed: 12 has 1 (2.9%) missing valuesMissing
군산해역에서 어획된 품종별 개체수 및 현존량(2015년) has unique valuesUnique
Unnamed: 1 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 2 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 3 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 4 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 5 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 6 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 7 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 8 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 9 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 10 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 11 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 12 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-14 02:39:51.972084
Analysis finished2024-03-14 02:39:52.396068
Duration0.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-03-14T11:39:52.531550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length28.5
Mean length22.382353
Min length2

Characters and Unicode

Total characters761
Distinct characters100
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)100.0%

Sample

1st row일자
2nd row구분
3rd row가숭어(Chelon haematocheiius)
4th row고등어(Scomber japonicus)
5th row갯가재(Oratosquilla oratoria)
ValueCountFrequency (%)
japonicus 3
 
4.4%
일자 1
 
1.5%
günther 1
 
1.5%
albiflora 1
 
1.5%
해삼(stichopus 1
 
1.5%
황해볼락(sebastes 1
 
1.5%
koreanus 1
 
1.5%
피뿔고둥(rapana 1
 
1.5%
venosa 1
 
1.5%
토굴(ostrea 1
 
1.5%
Other values (56) 56
82.4%
2024-03-14T11:39:52.841095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 64
 
8.4%
s 55
 
7.2%
i 52
 
6.8%
e 45
 
5.9%
o 40
 
5.3%
u 37
 
4.9%
34
 
4.5%
( 31
 
4.1%
) 31
 
4.1%
l 29
 
3.8%
Other values (90) 343
45.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 532
69.9%
Other Letter 101
 
13.3%
Space Separator 34
 
4.5%
Uppercase Letter 32
 
4.2%
Open Punctuation 31
 
4.1%
Close Punctuation 31
 
4.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6
 
5.9%
5
 
5.0%
4
 
4.0%
4
 
4.0%
4
 
4.0%
4
 
4.0%
3
 
3.0%
3
 
3.0%
3
 
3.0%
2
 
2.0%
Other values (50) 63
62.4%
Lowercase Letter
ValueCountFrequency (%)
a 64
12.0%
s 55
10.3%
i 52
9.8%
e 45
 
8.5%
o 40
 
7.5%
u 37
 
7.0%
l 29
 
5.5%
r 28
 
5.3%
t 28
 
5.3%
n 27
 
5.1%
Other values (15) 127
23.9%
Uppercase Letter
ValueCountFrequency (%)
S 7
21.9%
P 6
18.8%
L 5
15.6%
C 4
12.5%
O 2
 
6.2%
H 2
 
6.2%
R 1
 
3.1%
M 1
 
3.1%
G 1
 
3.1%
N 1
 
3.1%
Other values (2) 2
 
6.2%
Space Separator
ValueCountFrequency (%)
34
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 564
74.1%
Hangul 101
 
13.3%
Common 96
 
12.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6
 
5.9%
5
 
5.0%
4
 
4.0%
4
 
4.0%
4
 
4.0%
4
 
4.0%
3
 
3.0%
3
 
3.0%
3
 
3.0%
2
 
2.0%
Other values (50) 63
62.4%
Latin
ValueCountFrequency (%)
a 64
11.3%
s 55
 
9.8%
i 52
 
9.2%
e 45
 
8.0%
o 40
 
7.1%
u 37
 
6.6%
l 29
 
5.1%
r 28
 
5.0%
t 28
 
5.0%
n 27
 
4.8%
Other values (27) 159
28.2%
Common
ValueCountFrequency (%)
34
35.4%
( 31
32.3%
) 31
32.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 659
86.6%
Hangul 101
 
13.3%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 64
 
9.7%
s 55
 
8.3%
i 52
 
7.9%
e 45
 
6.8%
o 40
 
6.1%
u 37
 
5.6%
34
 
5.2%
( 31
 
4.7%
) 31
 
4.7%
l 29
 
4.4%
Other values (29) 241
36.6%
Hangul
ValueCountFrequency (%)
6
 
5.9%
5
 
5.0%
4
 
4.0%
4
 
4.0%
4
 
4.0%
4
 
4.0%
3
 
3.0%
3
 
3.0%
3
 
3.0%
2
 
2.0%
Other values (50) 63
62.4%
None
ValueCountFrequency (%)
ü 1
100.0%

Unnamed: 1
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size404.0 B

Unnamed: 2
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1
Missing (%)2.9%
Memory size404.0 B

Unnamed: 3
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size404.0 B

Unnamed: 4
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1
Missing (%)2.9%
Memory size404.0 B

Unnamed: 5
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size404.0 B

Unnamed: 6
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1
Missing (%)2.9%
Memory size404.0 B

Unnamed: 7
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size404.0 B

Unnamed: 8
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1
Missing (%)2.9%
Memory size404.0 B

Unnamed: 9
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size404.0 B

Unnamed: 10
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1
Missing (%)2.9%
Memory size404.0 B

Unnamed: 11
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size404.0 B

Unnamed: 12
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1
Missing (%)2.9%
Memory size404.0 B

Missing values

2024-03-14T11:39:52.082113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T11:39:52.219251image/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.
2024-03-14T11:39:52.336249image/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

군산해역에서 어획된 품종별 개체수 및 현존량(2015년)Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12
0일자3월NaN5월NaN7월NaN9월NaN11월NaN합계NaN
1구분개체수(마리)현존량(㎏)개체수(마리)현존량(㎏)개체수(마리)현존량(㎏)개체수(마리)현존량(㎏)개체수(마리)현존량(㎏)개체수(마리)현존량(㎏)
2가숭어(Chelon haematocheiius)1211.8710.3914.1
3고등어(Scomber japonicus)10.0510.05
4갯가재(Oratosquilla oratoria)50.2220.03130.5200.75
5꽃게(Portunus trituberculatus)10.22499.23168115.42
6노랑각시서대(Zebrias fasciatus)20.120.1
7넙치(Paralichthys olivadeus)30.820.351.1
8돌가자미(kareius bicoloratus)10.3210.32
9꼼치(Liparis tanakae)2624.72624.7
군산해역에서 어획된 품종별 개체수 및 현존량(2015년)Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12
24조피볼락(Sebastes schlegelii)72.162.3134.4
25쥐노래미(Hexagrammos otakii)20.3320.33
26참갑오징어(Sepia esculenta)146.9110.4157.31
27참서대(Cynoglossus joyneri Günther)10.160.470.5
28참조기(Larimichthys polyactis)130.7130.7
29토굴(Ostrea denselamellosa Lischke)10.3610.36
30피뿔고둥(Rapana venosa)10.270.5770.760.7212.17
31황해볼락(Sebastes koreanus)30.130.1
32해삼(Stichopus japonicus)10.410.4
33합계115.614212.6610013.678618.967039.630990.5