Overview

Dataset statistics

Number of variables13
Number of observations26
Missing cells6
Missing cells (%)1.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory109.1 B

Variable types

Text1
Unsupported12

Alerts

Unnamed: 2 has 1 (3.8%) missing valuesMissing
Unnamed: 4 has 1 (3.8%) missing valuesMissing
Unnamed: 6 has 1 (3.8%) missing valuesMissing
Unnamed: 8 has 1 (3.8%) missing valuesMissing
Unnamed: 10 has 1 (3.8%) missing valuesMissing
Unnamed: 12 has 1 (3.8%) missing valuesMissing
군산해역에서 어획된 품종별 개체수 및 현존량(2013년) 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 01:06:39.991050
Analysis finished2024-03-14 01:06:40.422468
Duration0.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-03-14T10:06:40.567168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26.5
Mean length21.615385
Min length2

Characters and Unicode

Total characters562
Distinct characters91
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

Unique26 ?
Unique (%)100.0%

Sample

1st row일자
2nd row구분
3rd row조피볼락(Sebastes schlegelii)
4th row황해볼락(Sebastes koreanus)
5th row쑤기미(Inimicus japonicus)
ValueCountFrequency (%)
japonicus 2
 
4.1%
일자 1
 
2.0%
trituberculatus 1
 
2.0%
gillii 1
 
2.0%
보구치(pennahia 1
 
2.0%
argentata 1
 
2.0%
붕장어(conger 1
 
2.0%
myriaster 1
 
2.0%
멸치(engraulis 1
 
2.0%
노랑가오리(dasyatis 1
 
2.0%
Other values (38) 38
77.6%
2024-03-14T10:06:40.853020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 48
 
8.5%
s 42
 
7.5%
e 35
 
6.2%
i 34
 
6.0%
u 28
 
5.0%
o 27
 
4.8%
t 24
 
4.3%
( 23
 
4.1%
r 23
 
4.1%
) 23
 
4.1%
Other values (81) 255
45.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 389
69.2%
Other Letter 81
 
14.4%
Open Punctuation 23
 
4.1%
Close Punctuation 23
 
4.1%
Space Separator 23
 
4.1%
Uppercase Letter 23
 
4.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6
 
7.4%
5
 
6.2%
5
 
6.2%
3
 
3.7%
3
 
3.7%
2
 
2.5%
2
 
2.5%
2
 
2.5%
2
 
2.5%
2
 
2.5%
Other values (44) 49
60.5%
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%
r 23
 
5.9%
l 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%
D 1
 
4.3%
E 1
 
4.3%
R 1
 
4.3%
Z 1
 
4.3%
I 1
 
4.3%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Space Separator
ValueCountFrequency (%)
23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 412
73.3%
Hangul 81
 
14.4%
Common 69
 
12.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6
 
7.4%
5
 
6.2%
5
 
6.2%
3
 
3.7%
3
 
3.7%
2
 
2.5%
2
 
2.5%
2
 
2.5%
2
 
2.5%
2
 
2.5%
Other values (44) 49
60.5%
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%
r 23
 
5.6%
l 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
85.6%
Hangul 81
 
14.4%

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%
( 23
 
4.8%
r 23
 
4.8%
) 23
 
4.8%
Other values (27) 174
36.2%
Hangul
ValueCountFrequency (%)
6
 
7.4%
5
 
6.2%
5
 
6.2%
3
 
3.7%
3
 
3.7%
2
 
2.5%
2
 
2.5%
2
 
2.5%
2
 
2.5%
2
 
2.5%
Other values (44) 49
60.5%

Unnamed: 1
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size340.0 B

Unnamed: 2
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1
Missing (%)3.8%
Memory size340.0 B

Unnamed: 3
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size340.0 B

Unnamed: 4
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1
Missing (%)3.8%
Memory size340.0 B

Unnamed: 5
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size340.0 B

Unnamed: 6
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1
Missing (%)3.8%
Memory size340.0 B

Unnamed: 7
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size340.0 B

Unnamed: 8
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1
Missing (%)3.8%
Memory size340.0 B

Unnamed: 9
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size340.0 B

Unnamed: 10
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1
Missing (%)3.8%
Memory size340.0 B

Unnamed: 11
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size340.0 B

Unnamed: 12
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1
Missing (%)3.8%
Memory size340.0 B

Missing values

2024-03-14T10:06:40.089787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T10:06:40.226502image/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.
2024-03-14T10:06:40.356734image/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(2013년)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(㎏)
2조피볼락(Sebastes schlegelii)10.4------51.361.3
3황해볼락(Sebastes koreanus)----20.210.1--30.3
4쑤기미(Inimicus japonicus)----10.210.2--20.4
5삼세기(Hemitripterus villosus)42.310.4------52.7
6노래미(Hexagrammos agrammus)--60.530.520.4--111.4
7넙치(Paralichthys olivadeus)--12.151.151.510.2124.9
8문치가자미(Pleuronectes yokohamae)51.5--51.5----103
9도다리(Pleuronichthys comutus)10.442.230.6----83.2
군산해역에서 어획된 품종별 개체수 및 현존량(2013년)Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12
16붕장어(Conger myriaster)--10.2------10.2
17멸치(Engraulis japonicus)--40.2------40.2
18노랑가오리(Dasyatis akajei)10.8--10.8----21.6
19꽃게(Portunus trituberculatus)10.2--30.3459.8--4910.3
20민꽃게(Charybdis japonica)30.210.1111.1131.351.3334
21갯가재(Oratosquilla oratoria)50.140.230.220.120.1160.7
22참갑오징어(Sepia esculenta)--186.8------186.8
23주꾸미(Octopus ocellatus)--10.1--10.1--20.2
24피뿔고둥(Rapana venosa)--203.2102.2101.9305.27012.5
25합계246.86316.85511.78817.2449.327461.4