Overview

Dataset statistics

Number of variables5
Number of observations65
Missing cells12
Missing cells (%)3.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory42.0 B

Variable types

Text3
DateTime1
Categorical1

Dataset

Description전라남도 내 박물관 65개소에 대한 정보(박물관 명, 주소, 연락처, 등록일, 국공립 여부 등)에 대해서 조회하실 수 있습니다.
Author전라남도
URLhttps://www.data.go.kr/data/15124435/fileData.do

Alerts

등록일 has 12 (18.5%) missing valuesMissing
박물관명 has unique valuesUnique
주소 has unique valuesUnique
연락처 has unique valuesUnique

Reproduction

Analysis started2023-12-12 01:43:07.269465
Analysis finished2023-12-12 01:43:07.852172
Duration0.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

박물관명
Text

UNIQUE 

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size652.0 B
2023-12-12T10:43:08.078586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length8.4615385
Min length5

Characters and Unicode

Total characters550
Distinct characters155
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

Unique65 ?
Unique (%)100.0%

Sample

1st row해양유물전시관
2nd row국립나주박물관
3rd row전라남도농업박물관
4th row전라남도산림박물관
5th row목포자연사박물관
ValueCountFrequency (%)
박물관 3
 
3.5%
기념관 2
 
2.3%
유물전시관 2
 
2.3%
해양유물전시관 1
 
1.2%
와보랑께 1
 
1.2%
우리삶문화옥당박물관 1
 
1.2%
영암곤충박물관 1
 
1.2%
도갑사성보박물관 1
 
1.2%
대흥사성보박물관 1
 
1.2%
땅끝해양자연사박물관 1
 
1.2%
Other values (72) 72
83.7%
2023-12-12T10:43:08.567617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
관 63
 
11.5%
물 46
 
8.4%
박 42
 
7.6%
22
 
4.0%
시 13
 
2.4%
사 13
 
2.4%
전 12
 
2.2%
기 11
 
2.0%
도 11
 
2.0%
화 10
 
1.8%
Other values (145) 307
55.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 527
95.8%
Space Separator 22
 
4.0%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 63
 
12.0%
물 46
 
8.7%
박 42
 
8.0%
시 13
 
2.5%
사 13
 
2.5%
전 12
 
2.3%
기 11
 
2.1%
도 11
 
2.1%
화 10
 
1.9%
보 8
 
1.5%
Other values (143) 298
56.5%
Space Separator
ValueCountFrequency (%)
22
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 527
95.8%
Common 23
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 63
 
12.0%
물 46
 
8.7%
박 42
 
8.0%
시 13
 
2.5%
사 13
 
2.5%
전 12
 
2.3%
기 11
 
2.1%
도 11
 
2.1%
화 10
 
1.9%
보 8
 
1.5%
Other values (143) 298
56.5%
Common
ValueCountFrequency (%)
22
95.7%
3 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 527
95.8%
ASCII 23
 
4.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
관 63
 
12.0%
물 46
 
8.7%
박 42
 
8.0%
시 13
 
2.5%
사 13
 
2.5%
전 12
 
2.3%
기 11
 
2.1%
도 11
 
2.1%
화 10
 
1.9%
보 8
 
1.5%
Other values (143) 298
56.5%
ASCII
ValueCountFrequency (%)
22
95.7%
3 1
 
4.3%

주소
Text

UNIQUE 

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size652.0 B
2023-12-12T10:43:09.003267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length15.753846
Min length10

Characters and Unicode

Total characters1024
Distinct characters146
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)100.0%

Sample

1st row목포시 남농로 136
2nd row나주시 반남면 고분로 747
3rd row영암군 영암읍 삼호읍 녹색로 653-15
4th row완도군 군외면 초평1길 156
5th row목포시 남농로 135
ValueCountFrequency (%)
순천시 8
 
3.2%
강진군 6
 
2.4%
신안군 6
 
2.4%
담양군 5
 
2.0%
영암군 5
 
2.0%
목포시 5
 
2.0%
나주시 5
 
2.0%
해남군 4
 
1.6%
군서면 3
 
1.2%
청자촌길 3
 
1.2%
Other values (178) 203
80.2%
2023-12-12T10:43:09.665782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
188
 
18.4%
군 48
 
4.7%
면 38
 
3.7%
로 35
 
3.4%
1 34
 
3.3%
길 32
 
3.1%
5 28
 
2.7%
6 25
 
2.4%
3 23
 
2.2%
시 22
 
2.1%
Other values (136) 551
53.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 607
59.3%
Decimal Number 209
 
20.4%
Space Separator 188
 
18.4%
Dash Punctuation 15
 
1.5%
Open Punctuation 2
 
0.2%
Close Punctuation 2
 
0.2%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
군 48
 
7.9%
면 38
 
6.3%
로 35
 
5.8%
길 32
 
5.3%
시 22
 
3.6%
읍 17
 
2.8%
영 14
 
2.3%
산 14
 
2.3%
대 12
 
2.0%
천 10
 
1.6%
Other values (121) 365
60.1%
Decimal Number
ValueCountFrequency (%)
1 34
16.3%
5 28
13.4%
6 25
12.0%
3 23
11.0%
2 20
9.6%
0 18
8.6%
9 16
7.7%
4 16
7.7%
7 16
7.7%
8 13
 
6.2%
Space Separator
ValueCountFrequency (%)
188
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 607
59.3%
Common 417
40.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
군 48
 
7.9%
면 38
 
6.3%
로 35
 
5.8%
길 32
 
5.3%
시 22
 
3.6%
읍 17
 
2.8%
영 14
 
2.3%
산 14
 
2.3%
대 12
 
2.0%
천 10
 
1.6%
Other values (121) 365
60.1%
Common
ValueCountFrequency (%)
188
45.1%
1 34
 
8.2%
5 28
 
6.7%
6 25
 
6.0%
3 23
 
5.5%
2 20
 
4.8%
0 18
 
4.3%
9 16
 
3.8%
4 16
 
3.8%
7 16
 
3.8%
Other values (5) 33
 
7.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 607
59.3%
ASCII 417
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
188
45.1%
1 34
 
8.2%
5 28
 
6.7%
6 25
 
6.0%
3 23
 
5.5%
2 20
 
4.8%
0 18
 
4.3%
9 16
 
3.8%
4 16
 
3.8%
7 16
 
3.8%
Other values (5) 33
 
7.9%
Hangul
ValueCountFrequency (%)
군 48
 
7.9%
면 38
 
6.3%
로 35
 
5.8%
길 32
 
5.3%
시 22
 
3.6%
읍 17
 
2.8%
영 14
 
2.3%
산 14
 
2.3%
대 12
 
2.0%
천 10
 
1.6%
Other values (121) 365
60.1%

연락처
Text

UNIQUE 

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size652.0 B
2023-12-12T10:43:10.008248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.092308
Min length12

Characters and Unicode

Total characters786
Distinct characters13
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)100.0%

Sample

1st row061-270-2000
2nd row061-330-7800
3rd row061-462-2796
4th row061-550-3514
5th row061-270-3655
ValueCountFrequency (%)
061-270-2000 1
 
1.5%
061-754-6062 1
 
1.5%
061-749-9625 1
 
1.5%
061-381-1700 1
 
1.5%
061-383-3863 1
 
1.5%
061-381-1239 1
 
1.5%
061-382-0080 1
 
1.5%
061-783-7610 1
 
1.5%
061-852-3038 1
 
1.5%
070-4233-9060 1
 
1.5%
Other values (55) 55
84.6%
2023-12-12T10:43:10.554484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 143
18.2%
- 130
16.5%
6 97
12.3%
1 94
12.0%
3 62
7.9%
5 56
 
7.1%
4 49
 
6.2%
2 46
 
5.9%
7 42
 
5.3%
8 37
 
4.7%
Other values (3) 30
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 652
83.0%
Dash Punctuation 130
 
16.5%
Space Separator 4
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 143
21.9%
6 97
14.9%
1 94
14.4%
3 62
9.5%
5 56
 
8.6%
4 49
 
7.5%
2 46
 
7.1%
7 42
 
6.4%
8 37
 
5.7%
9 26
 
4.0%
Space Separator
ValueCountFrequency (%)
3
75.0%
　 1
 
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 130
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 786
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 143
18.2%
- 130
16.5%
6 97
12.3%
1 94
12.0%
3 62
7.9%
5 56
 
7.1%
4 49
 
6.2%
2 46
 
5.9%
7 42
 
5.3%
8 37
 
4.7%
Other values (3) 30
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 785
99.9%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 143
18.2%
- 130
16.6%
6 97
12.4%
1 94
12.0%
3 62
7.9%
5 56
 
7.1%
4 49
 
6.2%
2 46
 
5.9%
7 42
 
5.4%
8 37
 
4.7%
Other values (2) 29
 
3.7%
None
ValueCountFrequency (%)
　 1
100.0%

등록일
Date

MISSING 

Distinct49
Distinct (%)92.5%
Missing12
Missing (%)18.5%
Memory size652.0 B
Minimum1993-11-20 00:00:00
Maximum2021-06-23 00:00:00
2023-12-12T10:43:10.751383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:43:10.943707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)

비고
Categorical

Distinct4
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size652.0 B
공립
31 
사립
20 
공립, 미등록
12 
국립
 
2

Length

Max length7
Median length2
Mean length2.9230769
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row국립
2nd row국립
3rd row공립
4th row공립
5th row공립

Common Values

ValueCountFrequency (%)
공립 31
47.7%
사립 20
30.8%
공립, 미등록 12
 
18.5%
국립 2
 
3.1%

Length

2023-12-12T10:43:11.097307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:43:11.562949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공립 43
55.8%
사립 20
26.0%
미등록 12
 
15.6%
국립 2
 
2.6%

Correlations

2023-12-12T10:43:11.660012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
박물관명주소연락처등록일비고
박물관명1.0001.0001.0001.0001.000
주소1.0001.0001.0001.0001.000
연락처1.0001.0001.0001.0001.000
등록일1.0001.0001.0001.0000.972
비고1.0001.0001.0000.9721.000

Missing values

2023-12-12T10:43:07.660599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:43:07.797580image/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

박물관명주소연락처등록일비고
0해양유물전시관목포시 남농로 136061-270-20002017-12-14국립
1국립나주박물관나주시 반남면 고분로 747061-330-78002013-10-18국립
2전라남도농업박물관영암군 영암읍 삼호읍 녹색로 653-15061-462-27961993-11-20공립
3전라남도산림박물관완도군 군외면 초평1길 156061-550-35142009-12-24공립
4목포자연사박물관목포시 남농로 135061-270-36552006-08-25공립
5목포생활도자박물관목포시 남농로 117061-270-84802008-04-16공립
6목포근대역사관목포시 영산로29번길 6061-242-03402017-03-20공립
7김대중 노벨평화상 기념관목포시 삼학로 92번길 68061-245-56602013-12-05공립
8여수민족전시관여수시 율촌면 서부로 1442061-683-22312013-11-11공립
9순천시립뿌리깊은나무박물관순천시 낙악면 평촌 3길 45061-749-88552012-10-08공립
박물관명주소연락처등록일비고
55광양 역사문화관광양시 광양읍 매천로 829061-797-2305<NA>공립, 미등록
56전라병영성 하멜기념관강진군 병영면 병영성로 180061-430-3318<NA>공립, 미등록
57왕인박사 기념관영암군 군서면 왕인로 440061-470-6656<NA>공립, 미등록
58홍길동 전시관장성군 황룡면 홍길동로 431061-390-7251<NA>공립, 미등록
59필암서원 유물전시관장성군 황룡면 필암서원로 187061-390-7224<NA>공립, 미등록
60증도 갯벌생태전시관신안군 증도면 지도증도로 1766-4061-275-8400<NA>공립, 미등록
61하의3도 농민운동기념관신안군 하의면 대리 35-9061-275-5025<NA>공립, 미등록
62에로스서각박물관신안군 암태면 박달로 362-26061-240-8656<NA>공립, 미등록
63세계화석광물박물관신안군 안좌면 대리길 18-20061-262-0230<NA>공립, 미등록
64신안철새박물관신안군 흑산면 흑산일주로 212061-241-1005<NA>공립, 미등록