Overview

Dataset statistics

Number of variables5
Number of observations985
Missing cells1970
Missing cells (%)40.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory41.5 KiB
Average record size in memory43.1 B

Variable types

Text2
Categorical1
Unsupported2

Dataset

Description국립해양박물관이 보유하고 있는 기증자료 목록으로 자료 번호, 자료 명칭, 수량에 대한 데이터입니다.
Author국립해양박물관
URLhttps://www.data.go.kr/data/15018539/fileData.do

Alerts

주수량 has constant value ""Constant
Unnamed: 3 has 985 (100.0%) missing valuesMissing
Unnamed: 4 has 985 (100.0%) missing valuesMissing
자료번호 has unique valuesUnique
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

Reproduction

Analysis started2023-12-12 13:07:32.168696
Analysis finished2023-12-12 13:07:32.582274
Duration0.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

자료번호
Text

UNIQUE 

Distinct985
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
2023-12-12T22:07:32.848100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.9035533
Min length4

Characters and Unicode

Total characters5815
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique985 ?
Unique (%)100.0%

Sample

1st row기증 1
2nd row기증 2
3rd row기증 3
4th row기증 4
5th row기증 5
ValueCountFrequency (%)
기증 968
49.1%
신기증 17
 
0.9%
10 2
 
0.1%
2 2
 
0.1%
17 2
 
0.1%
16 2
 
0.1%
15 2
 
0.1%
14 2
 
0.1%
13 2
 
0.1%
12 2
 
0.1%
Other values (960) 969
49.2%
2023-12-12T22:07:33.356614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 985
16.9%
증 985
16.9%
985
16.9%
1 312
 
5.4%
6 299
 
5.1%
5 296
 
5.1%
7 296
 
5.1%
9 295
 
5.1%
4 294
 
5.1%
3 290
 
5.0%
Other values (4) 778
13.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2843
48.9%
Other Letter 1987
34.2%
Space Separator 985
 
16.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 312
11.0%
6 299
10.5%
5 296
10.4%
7 296
10.4%
9 295
10.4%
4 294
10.3%
3 290
10.2%
8 287
10.1%
2 270
9.5%
0 204
7.2%
Other Letter
ValueCountFrequency (%)
기 985
49.6%
증 985
49.6%
신 17
 
0.9%
Space Separator
ValueCountFrequency (%)
985
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3828
65.8%
Hangul 1987
34.2%

Most frequent character per script

Common
ValueCountFrequency (%)
985
25.7%
1 312
 
8.2%
6 299
 
7.8%
5 296
 
7.7%
7 296
 
7.7%
9 295
 
7.7%
4 294
 
7.7%
3 290
 
7.6%
8 287
 
7.5%
2 270
 
7.1%
Hangul
ValueCountFrequency (%)
기 985
49.6%
증 985
49.6%
신 17
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3828
65.8%
Hangul 1987
34.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 985
49.6%
증 985
49.6%
신 17
 
0.9%
ASCII
ValueCountFrequency (%)
985
25.7%
1 312
 
8.2%
6 299
 
7.8%
5 296
 
7.7%
7 296
 
7.7%
9 295
 
7.7%
4 294
 
7.7%
3 290
 
7.6%
8 287
 
7.5%
2 270
 
7.1%

자료명칭
Text

Distinct832
Distinct (%)84.5%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
2023-12-12T22:07:34.100450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length35
Mean length9.0091371
Min length1

Characters and Unicode

Total characters8874
Distinct characters599
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique743 ?
Unique (%)75.4%

Sample

1st row영사기
2nd row해양 조사 영상 필름
3rd row타륜
4th row자이로컴퍼스
5th row습식 기록식 어군탐지기
ValueCountFrequency (%)
사진 59
 
2.8%
어촌 44
 
2.1%
동삼동 44
 
2.1%
일괄 28
 
1.3%
모형 27
 
1.3%
산호 18
 
0.9%
부속품 17
 
0.8%
슬라이드 16
 
0.8%
선박용 15
 
0.7%
이맹기 14
 
0.7%
Other values (1294) 1824
86.6%
2023-12-12T22:07:34.601772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1129
 
12.7%
기 150
 
1.7%
이 147
 
1.7%
동 133
 
1.5%
사 129
 
1.5%
( 115
 
1.3%
) 115
 
1.3%
어 113
 
1.3%
선 87
 
1.0%
진 81
 
0.9%
Other values (589) 6675
75.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6173
69.6%
Space Separator 1130
 
12.7%
Uppercase Letter 608
 
6.9%
Lowercase Letter 449
 
5.1%
Decimal Number 171
 
1.9%
Open Punctuation 129
 
1.5%
Close Punctuation 129
 
1.5%
Math Symbol 29
 
0.3%
Dash Punctuation 27
 
0.3%
Other Punctuation 25
 
0.3%
Other values (3) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 150
 
2.4%
이 147
 
2.4%
동 133
 
2.2%
사 129
 
2.1%
어 113
 
1.8%
선 87
 
1.4%
진 81
 
1.3%
대 78
 
1.3%
부 77
 
1.2%
장 77
 
1.2%
Other values (509) 5101
82.6%
Uppercase Letter
ValueCountFrequency (%)
E 63
 
10.4%
S 51
 
8.4%
L 49
 
8.1%
A 47
 
7.7%
O 37
 
6.1%
H 36
 
5.9%
T 36
 
5.9%
N 36
 
5.9%
R 31
 
5.1%
I 31
 
5.1%
Other values (15) 191
31.4%
Lowercase Letter
ValueCountFrequency (%)
a 53
11.8%
e 50
11.1%
i 47
10.5%
r 31
 
6.9%
n 29
 
6.5%
o 28
 
6.2%
l 28
 
6.2%
u 27
 
6.0%
s 26
 
5.8%
t 24
 
5.3%
Other values (13) 106
23.6%
Decimal Number
ValueCountFrequency (%)
1 63
36.8%
0 26
15.2%
5 20
 
11.7%
2 18
 
10.5%
3 12
 
7.0%
9 10
 
5.8%
7 8
 
4.7%
4 6
 
3.5%
8 5
 
2.9%
6 3
 
1.8%
Other Punctuation
ValueCountFrequency (%)
, 9
36.0%
. 9
36.0%
& 2
 
8.0%
/ 2
 
8.0%
: 1
 
4.0%
· 1
 
4.0%
' 1
 
4.0%
Open Punctuation
ValueCountFrequency (%)
( 115
89.1%
『 13
 
10.1%
「 1
 
0.8%
Close Punctuation
ValueCountFrequency (%)
) 115
89.1%
』 13
 
10.1%
」 1
 
0.8%
Math Symbol
ValueCountFrequency (%)
< 14
48.3%
> 14
48.3%
~ 1
 
3.4%
Space Separator
ValueCountFrequency (%)
1129
99.9%
　 1
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%
Other Symbol
ValueCountFrequency (%)
㎏ 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6173
69.6%
Common 1643
 
18.5%
Latin 1058
 
11.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 150
 
2.4%
이 147
 
2.4%
동 133
 
2.2%
사 129
 
2.1%
어 113
 
1.8%
선 87
 
1.4%
진 81
 
1.3%
대 78
 
1.3%
부 77
 
1.2%
장 77
 
1.2%
Other values (509) 5101
82.6%
Latin
ValueCountFrequency (%)
E 63
 
6.0%
a 53
 
5.0%
S 51
 
4.8%
e 50
 
4.7%
L 49
 
4.6%
i 47
 
4.4%
A 47
 
4.4%
O 37
 
3.5%
H 36
 
3.4%
T 36
 
3.4%
Other values (39) 589
55.7%
Common
ValueCountFrequency (%)
1129
68.7%
( 115
 
7.0%
) 115
 
7.0%
1 63
 
3.8%
- 27
 
1.6%
0 26
 
1.6%
5 20
 
1.2%
2 18
 
1.1%
< 14
 
0.9%
> 14
 
0.9%
Other values (21) 102
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6171
69.5%
ASCII 2668
30.1%
None 30
 
0.3%
Compat Jamo 2
 
< 0.1%
CJK Compat 2
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1129
42.3%
( 115
 
4.3%
) 115
 
4.3%
1 63
 
2.4%
E 63
 
2.4%
a 53
 
2.0%
S 51
 
1.9%
e 50
 
1.9%
L 49
 
1.8%
i 47
 
1.8%
Other values (62) 933
35.0%
Hangul
ValueCountFrequency (%)
기 150
 
2.4%
이 147
 
2.4%
동 133
 
2.2%
사 129
 
2.1%
어 113
 
1.8%
선 87
 
1.4%
진 81
 
1.3%
대 78
 
1.3%
부 77
 
1.2%
장 77
 
1.2%
Other values (508) 5099
82.6%
None
ValueCountFrequency (%)
『 13
43.3%
』 13
43.3%
　 1
 
3.3%
· 1
 
3.3%
」 1
 
3.3%
「 1
 
3.3%
Compat Jamo
ValueCountFrequency (%)
ㄱ 2
100.0%
CJK Compat
ValueCountFrequency (%)
㎏ 2
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

주수량
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
1
985 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 985
100.0%

Length

2023-12-12T22:07:34.729785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:07:34.823534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 985
100.0%

Unnamed: 3
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing985
Missing (%)100.0%
Memory size8.8 KiB

Unnamed: 4
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing985
Missing (%)100.0%
Memory size8.8 KiB

Missing values

2023-12-12T22:07:32.460038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:07:32.547466image/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

자료번호자료명칭주수량Unnamed: 3Unnamed: 4
0기증 1영사기1<NA><NA>
1기증 2해양 조사 영상 필름1<NA><NA>
2기증 3타륜1<NA><NA>
3기증 4자이로컴퍼스1<NA><NA>
4기증 5습식 기록식 어군탐지기1<NA><NA>
5기증 6선박용 인터폰1<NA><NA>
6기증 7선박용 혼 스피커1<NA><NA>
7기증 8VHF 무전기, 송수신기 일괄1<NA><NA>
8기증 9GPS 플러터1<NA><NA>
9기증 10소나1<NA><NA>
자료번호자료명칭주수량Unnamed: 3Unnamed: 4
975신기증 8극지 안전활동 지침서1<NA><NA>
976신기증 9극지 안전활동 지침서1<NA><NA>
977신기증 10타자기1<NA><NA>
978신기증 11측량기1<NA><NA>
979신기증 12교재1<NA><NA>
980신기증 13텍사스 A&M대 박사학위증서1<NA><NA>
981신기증 14텍사스 A&M대 학생증1<NA><NA>
982신기증 15사진1<NA><NA>
983신기증 16훈장증1<NA><NA>
984신기증 17Sigma Xi 우수논문 상장1<NA><NA>