Overview

Dataset statistics

Number of variables5
Number of observations57
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory43.3 B

Variable types

Numeric1
Text2
Categorical2

Dataset

Description대전지역 전문예술법인단체 지정현황에 대한 데이터로 단체명, 활동분야, 소재지, 전문예술법인 단체 지정일 현황을 제공합니다.
URLhttps://www.data.go.kr/data/15081488/fileData.do

Alerts

연번 has unique valuesUnique
단체명 has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2023-12-12 11:58:15.718401
Analysis finished2023-12-12 11:58:16.356413
Duration0.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct57
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29
Minimum1
Maximum57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2023-12-12T20:58:16.456734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.8
Q115
median29
Q343
95-th percentile54.2
Maximum57
Range56
Interquartile range (IQR)28

Descriptive statistics

Standard deviation16.598193
Coefficient of variation (CV)0.57235147
Kurtosis-1.2
Mean29
Median Absolute Deviation (MAD)14
Skewness0
Sum1653
Variance275.5
MonotonicityStrictly increasing
2023-12-12T20:58:16.621682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.8%
44 1
 
1.8%
32 1
 
1.8%
33 1
 
1.8%
34 1
 
1.8%
35 1
 
1.8%
36 1
 
1.8%
37 1
 
1.8%
38 1
 
1.8%
39 1
 
1.8%
Other values (47) 47
82.5%
ValueCountFrequency (%)
1 1
1.8%
2 1
1.8%
3 1
1.8%
4 1
1.8%
5 1
1.8%
6 1
1.8%
7 1
1.8%
8 1
1.8%
9 1
1.8%
10 1
1.8%
ValueCountFrequency (%)
57 1
1.8%
56 1
1.8%
55 1
1.8%
54 1
1.8%
53 1
1.8%
52 1
1.8%
51 1
1.8%
50 1
1.8%
49 1
1.8%
48 1
1.8%

단체명
Text

UNIQUE 

Distinct57
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
2023-12-12T20:58:16.941780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length15
Mean length10.561404
Min length4

Characters and Unicode

Total characters602
Distinct characters170
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

Unique57 ?
Unique (%)100.0%

Sample

1st row(재)대전고암미술문화재단
2nd row(재)대전문화재단
3rd row(사)대전민예총
4th row(사)대전팝스오케스트라
5th row(사)마당극패 우금치
ValueCountFrequency (%)
극단 8
 
8.5%
대전광역시지회 4
 
4.3%
대전지회 4
 
4.3%
앙상블 2
 
2.1%
이정애 1
 
1.1%
사는 1
 
1.1%
토끼가 1
 
1.1%
오늘 1
 
1.1%
장애인인식개선 1
 
1.1%
오페라 1
 
1.1%
Other values (70) 70
74.5%
2023-12-12T20:58:17.472259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37
 
6.1%
회 28
 
4.7%
대 24
 
4.0%
전 24
 
4.0%
사 22
 
3.7%
( 21
 
3.5%
) 21
 
3.5%
단 19
 
3.2%
국 13
 
2.2%
극 13
 
2.2%
Other values (160) 380
63.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 512
85.0%
Space Separator 37
 
6.1%
Open Punctuation 21
 
3.5%
Close Punctuation 21
 
3.5%
Uppercase Letter 8
 
1.3%
Other Punctuation 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 28
 
5.5%
대 24
 
4.7%
전 24
 
4.7%
사 22
 
4.3%
단 19
 
3.7%
국 13
 
2.5%
극 13
 
2.5%
예 12
 
2.3%
한 11
 
2.1%
지 11
 
2.1%
Other values (148) 335
65.4%
Uppercase Letter
ValueCountFrequency (%)
E 2
25.0%
H 1
12.5%
U 1
12.5%
S 1
12.5%
O 1
12.5%
D 1
12.5%
I 1
12.5%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
, 1
33.3%
Space Separator
ValueCountFrequency (%)
37
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 512
85.0%
Common 82
 
13.6%
Latin 8
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 28
 
5.5%
대 24
 
4.7%
전 24
 
4.7%
사 22
 
4.3%
단 19
 
3.7%
국 13
 
2.5%
극 13
 
2.5%
예 12
 
2.3%
한 11
 
2.1%
지 11
 
2.1%
Other values (148) 335
65.4%
Latin
ValueCountFrequency (%)
E 2
25.0%
H 1
12.5%
U 1
12.5%
S 1
12.5%
O 1
12.5%
D 1
12.5%
I 1
12.5%
Common
ValueCountFrequency (%)
37
45.1%
( 21
25.6%
) 21
25.6%
. 2
 
2.4%
, 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 512
85.0%
ASCII 90
 
15.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37
41.1%
( 21
23.3%
) 21
23.3%
E 2
 
2.2%
. 2
 
2.2%
H 1
 
1.1%
U 1
 
1.1%
S 1
 
1.1%
O 1
 
1.1%
D 1
 
1.1%
Other values (2) 2
 
2.2%
Hangul
ValueCountFrequency (%)
회 28
 
5.5%
대 24
 
4.7%
전 24
 
4.7%
사 22
 
4.3%
단 19
 
3.7%
국 13
 
2.5%
극 13
 
2.5%
예 12
 
2.3%
한 11
 
2.1%
지 11
 
2.1%
Other values (148) 335
65.4%

활동분야
Categorical

Distinct3
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size588.0 B
공연예술분야
47 
기타분야
6 
시각예술분야
 
4

Length

Max length6
Median length6
Mean length5.7894737
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row시각예술분야
2nd row기타분야
3rd row기타분야
4th row공연예술분야
5th row공연예술분야

Common Values

ValueCountFrequency (%)
공연예술분야 47
82.5%
기타분야 6
 
10.5%
시각예술분야 4
 
7.0%

Length

2023-12-12T20:58:17.660826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:58:17.820121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공연예술분야 47
82.5%
기타분야 6
 
10.5%
시각예술분야 4
 
7.0%

소재지
Text

UNIQUE 

Distinct57
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
2023-12-12T20:58:18.106309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length30
Mean length25.982456
Min length12

Characters and Unicode

Total characters1481
Distinct characters125
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)100.0%

Sample

1st row대전 서구 둔산대로 157(만년동)
2nd row대전 중구 중앙로 32 대전예술가의 집(문화동)
3rd row대전 중구 중앙로 32, 406호 대전예술가의 집(문화동)
4th row대전 유성구 대학로81번길 65, 109호(궁동, 공동코아)
5th row대전 서구 둔산대로 201 평송청소년문화센터 3층(만년동)
ValueCountFrequency (%)
대전 57
 
18.0%
중구 26
 
8.2%
서구 18
 
5.7%
중앙로 12
 
3.8%
32 12
 
3.8%
유성구 9
 
2.8%
대전예술가의 8
 
2.5%
집(문화동 7
 
2.2%
지하1층 4
 
1.3%
둔산대로 3
 
0.9%
Other values (144) 160
50.6%
2023-12-12T20:58:18.562747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
263
 
17.8%
대 90
 
6.1%
전 69
 
4.7%
1 62
 
4.2%
구 58
 
3.9%
로 57
 
3.8%
동 55
 
3.7%
) 43
 
2.9%
( 43
 
2.9%
0 40
 
2.7%
Other values (115) 701
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 796
53.7%
Decimal Number 296
 
20.0%
Space Separator 263
 
17.8%
Close Punctuation 43
 
2.9%
Open Punctuation 43
 
2.9%
Other Punctuation 35
 
2.4%
Dash Punctuation 4
 
0.3%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 90
 
11.3%
전 69
 
8.7%
구 58
 
7.3%
로 57
 
7.2%
동 55
 
6.9%
중 40
 
5.0%
번 26
 
3.3%
길 24
 
3.0%
호 22
 
2.8%
서 21
 
2.6%
Other values (99) 334
42.0%
Decimal Number
ValueCountFrequency (%)
1 62
20.9%
0 40
13.5%
2 40
13.5%
3 40
13.5%
4 29
9.8%
6 22
 
7.4%
5 22
 
7.4%
8 19
 
6.4%
7 15
 
5.1%
9 7
 
2.4%
Space Separator
ValueCountFrequency (%)
263
100.0%
Close Punctuation
ValueCountFrequency (%)
) 43
100.0%
Open Punctuation
ValueCountFrequency (%)
( 43
100.0%
Other Punctuation
ValueCountFrequency (%)
, 35
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 796
53.7%
Common 684
46.2%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 90
 
11.3%
전 69
 
8.7%
구 58
 
7.3%
로 57
 
7.2%
동 55
 
6.9%
중 40
 
5.0%
번 26
 
3.3%
길 24
 
3.0%
호 22
 
2.8%
서 21
 
2.6%
Other values (99) 334
42.0%
Common
ValueCountFrequency (%)
263
38.5%
1 62
 
9.1%
) 43
 
6.3%
( 43
 
6.3%
0 40
 
5.8%
2 40
 
5.8%
3 40
 
5.8%
, 35
 
5.1%
4 29
 
4.2%
6 22
 
3.2%
Other values (5) 67
 
9.8%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 796
53.7%
ASCII 685
46.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
263
38.4%
1 62
 
9.1%
) 43
 
6.3%
( 43
 
6.3%
0 40
 
5.8%
2 40
 
5.8%
3 40
 
5.8%
, 35
 
5.1%
4 29
 
4.2%
6 22
 
3.2%
Other values (6) 68
 
9.9%
Hangul
ValueCountFrequency (%)
대 90
 
11.3%
전 69
 
8.7%
구 58
 
7.3%
로 57
 
7.2%
동 55
 
6.9%
중 40
 
5.0%
번 26
 
3.3%
길 24
 
3.0%
호 22
 
2.8%
서 21
 
2.6%
Other values (99) 334
42.0%

지정일
Categorical

Distinct10
Distinct (%)17.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
2015-09-01
16 
2014-09-04
13 
2018-03-06
6 
2014-07-20
5 
2019-09-26
5 
Other values (5)
12 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique1 ?
Unique (%)1.8%

Sample

1st row2015-09-01
2nd row2015-09-01
3rd row2015-09-01
4th row2015-09-01
5th row2014-07-20

Common Values

ValueCountFrequency (%)
2015-09-01 16
28.1%
2014-09-04 13
22.8%
2018-03-06 6
 
10.5%
2014-07-20 5
 
8.8%
2019-09-26 5
 
8.8%
2022-10-31 5
 
8.8%
2017-03-31 2
 
3.5%
2016-05-18 2
 
3.5%
2021-09-23 2
 
3.5%
2014-09-01 1
 
1.8%

Length

2023-12-12T20:58:18.732566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:58:18.913961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2015-09-01 16
28.1%
2014-09-04 13
22.8%
2018-03-06 6
 
10.5%
2014-07-20 5
 
8.8%
2019-09-26 5
 
8.8%
2022-10-31 5
 
8.8%
2017-03-31 2
 
3.5%
2016-05-18 2
 
3.5%
2021-09-23 2
 
3.5%
2014-09-01 1
 
1.8%

Interactions

2023-12-12T20:58:16.084474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:58:19.042905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번단체명활동분야소재지지정일
연번1.0001.0000.2091.0000.859
단체명1.0001.0001.0001.0001.000
활동분야0.2091.0001.0001.0000.000
소재지1.0001.0001.0001.0001.000
지정일0.8591.0000.0001.0001.000
2023-12-12T20:58:19.166008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정일활동분야
지정일1.0000.000
활동분야0.0001.000
2023-12-12T20:58:19.275136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번활동분야지정일
연번1.0000.1060.428
활동분야0.1061.0000.000
지정일0.4280.0001.000

Missing values

2023-12-12T20:58:16.207549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:58:16.313512image/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

연번단체명활동분야소재지지정일
01(재)대전고암미술문화재단시각예술분야대전 서구 둔산대로 157(만년동)2015-09-01
12(재)대전문화재단기타분야대전 중구 중앙로 32 대전예술가의 집(문화동)2015-09-01
23(사)대전민예총기타분야대전 중구 중앙로 32, 406호 대전예술가의 집(문화동)2015-09-01
34(사)대전팝스오케스트라공연예술분야대전 유성구 대학로81번길 65, 109호(궁동, 공동코아)2015-09-01
45(사)마당극패 우금치공연예술분야대전 서구 둔산대로 201 평송청소년문화센터 3층(만년동)2014-07-20
56(사)정은혜민족무용단공연예술분야대전 서구 도안북로 1362017-03-31
67(사)한국국악협회 대전광역시지회공연예술분야대전 중구 중앙로 32 대전예술가의집(문화동)2014-09-01
78(사)한국무용협회 대전지회공연예술분야대전 중구 중앙로 32, 511호 대전예술가의 집(문화동)2015-09-01
89(사)한국미술협회대전지회시각예술분야대전 중구 중앙로 32, 506호 대전예술가의 집(문화동)2015-09-01
910(사)한국사진작가협회 대전지회시각예술분야대전 중구 중앙로 32, 516호 대전예술가의 집(문화동)2015-09-01
연번단체명활동분야소재지지정일
4748림스타악기앙상블공연예술분야대전 유성구 대학로 135-1(궁동, 지하1층)2019-09-26
4849남사당대전지회(꼭두쇠남사당)공연예술분야대전 대덕구 한밭대로 1006번길 16(오정동, 지하1층)2019-09-26
4950EIDOS(에이도스)공연예술분야대전 유성구 노은로 178(지족동, 금강프라자 805호)2019-09-26
5051대전 오라토리오공연예술분야대전 서구 월평로34번길 15, 지하층(월평동)2021-09-23
5152국제연극연구소 H.U.E공연예술분야대전 중구 중교로 40, 3층2021-09-23
5253유벨톤심포니오케스트라공연예술분야대전 유성구 온천로 26, 1521호 리베라 아이누리22022-10-31
5354다함쿱사회적협동조합공연예술분야대전 동구 대전로448번길 70, 지하 101호2022-10-31
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