Overview

Dataset statistics

Number of variables6
Number of observations41
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory51.2 B

Variable types

Text4
Categorical2

Dataset

Description광주광역시 2022년 12월 말 기준 공연장 현황 정보로 공연장명, 소재지, 관리자, 전화번호 등의 항목을 제공합니다.
Author광주광역시
URLhttps://www.data.go.kr/data/3036284/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
공연장명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 23:08:28.183388
Analysis finished2023-12-12 23:08:28.631775
Duration0.45 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

공연장명
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-13T08:08:28.807138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length9.4878049
Min length5

Characters and Unicode

Total characters389
Distinct characters102
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)100.0%

Sample

1st row북구청소년수련관 상상마루 공연장
2nd row북구문화센터
3rd row문화예술회관 대극장
4th row문화예술회관 소극장
5th row5.18기념문화관(민주홀)
ValueCountFrequency (%)
소극장 5
 
7.7%
국립아시아문화전당 4
 
6.2%
문화예술회관 3
 
4.6%
공연장 2
 
3.1%
광주 2
 
3.1%
지니아트홀 1
 
1.5%
어린이 1
 
1.5%
극장 1
 
1.5%
극장1 1
 
1.5%
극장2 1
 
1.5%
Other values (44) 44
67.7%
2023-12-13T08:08:29.147963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24
 
6.2%
장 20
 
5.1%
극 17
 
4.4%
문 17
 
4.4%
화 16
 
4.1%
아 14
 
3.6%
광 14
 
3.6%
관 13
 
3.3%
주 11
 
2.8%
소 10
 
2.6%
Other values (92) 233
59.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 349
89.7%
Space Separator 24
 
6.2%
Decimal Number 10
 
2.6%
Close Punctuation 2
 
0.5%
Other Punctuation 2
 
0.5%
Open Punctuation 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 20
 
5.7%
극 17
 
4.9%
문 17
 
4.9%
화 16
 
4.6%
아 14
 
4.0%
광 14
 
4.0%
관 13
 
3.7%
주 11
 
3.2%
소 10
 
2.9%
홀 9
 
2.6%
Other values (83) 208
59.6%
Decimal Number
ValueCountFrequency (%)
1 3
30.0%
2 2
20.0%
5 2
20.0%
8 2
20.0%
3 1
 
10.0%
Space Separator
ValueCountFrequency (%)
24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 349
89.7%
Common 40
 
10.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 20
 
5.7%
극 17
 
4.9%
문 17
 
4.9%
화 16
 
4.6%
아 14
 
4.0%
광 14
 
4.0%
관 13
 
3.7%
주 11
 
3.2%
소 10
 
2.9%
홀 9
 
2.6%
Other values (83) 208
59.6%
Common
ValueCountFrequency (%)
24
60.0%
1 3
 
7.5%
2 2
 
5.0%
) 2
 
5.0%
. 2
 
5.0%
5 2
 
5.0%
( 2
 
5.0%
8 2
 
5.0%
3 1
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 349
89.7%
ASCII 40
 
10.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24
60.0%
1 3
 
7.5%
2 2
 
5.0%
) 2
 
5.0%
. 2
 
5.0%
5 2
 
5.0%
( 2
 
5.0%
8 2
 
5.0%
3 1
 
2.5%
Hangul
ValueCountFrequency (%)
장 20
 
5.7%
극 17
 
4.9%
문 17
 
4.9%
화 16
 
4.6%
아 14
 
4.0%
광 14
 
4.0%
관 13
 
3.7%
주 11
 
3.2%
소 10
 
2.9%
홀 9
 
2.6%
Other values (83) 208
59.6%

시군구
Categorical

Distinct5
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Memory size460.0 B
동구
16 
서구
11 
남구
6 
북구
4 
광산구
4 

Length

Max length3
Median length2
Mean length2.097561
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row북구
2nd row북구
3rd row북구
4th row북구
5th row서구

Common Values

ValueCountFrequency (%)
동구 16
39.0%
서구 11
26.8%
남구 6
 
14.6%
북구 4
 
9.8%
광산구 4
 
9.8%

Length

2023-12-13T08:08:29.261599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:08:29.361303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동구 16
39.0%
서구 11
26.8%
남구 6
 
14.6%
북구 4
 
9.8%
광산구 4
 
9.8%

소재지
Text

Distinct33
Distinct (%)80.5%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-13T08:08:29.572618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length16
Mean length12.243902
Min length6

Characters and Unicode

Total characters502
Distinct characters89
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

Unique28 ?
Unique (%)68.3%

Sample

1st row대천로 86
2nd row하서로 299
3rd row북문대로 60
4th row북문대로 60
5th row 내방로 152 (쌍촌동)
ValueCountFrequency (%)
문화전당로 5
 
5.0%
38 4
 
4.0%
천변좌로 3
 
3.0%
338번길 3
 
3.0%
7 3
 
3.0%
쌍촌동 3
 
3.0%
광천동 2
 
2.0%
b1 2
 
2.0%
3 2
 
2.0%
금남로 2
 
2.0%
Other values (63) 72
71.3%
2023-12-13T08:08:29.925500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
110
21.9%
로 38
 
7.6%
1 29
 
5.8%
3 19
 
3.8%
8 18
 
3.6%
동 16
 
3.2%
2 15
 
3.0%
( 13
 
2.6%
) 13
 
2.6%
길 12
 
2.4%
Other values (79) 219
43.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 223
44.4%
Decimal Number 128
25.5%
Space Separator 110
21.9%
Open Punctuation 13
 
2.6%
Close Punctuation 13
 
2.6%
Dash Punctuation 7
 
1.4%
Other Punctuation 5
 
1.0%
Uppercase Letter 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 38
 
17.0%
동 16
 
7.2%
길 12
 
5.4%
번 9
 
4.0%
문 7
 
3.1%
대 7
 
3.1%
천 7
 
3.1%
금 6
 
2.7%
중 6
 
2.7%
화 6
 
2.7%
Other values (62) 109
48.9%
Decimal Number
ValueCountFrequency (%)
1 29
22.7%
3 19
14.8%
8 18
14.1%
2 15
11.7%
9 12
9.4%
0 11
 
8.6%
7 7
 
5.5%
6 7
 
5.5%
4 6
 
4.7%
5 4
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
B 2
66.7%
A 1
33.3%
Space Separator
ValueCountFrequency (%)
110
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 276
55.0%
Hangul 223
44.4%
Latin 3
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 38
 
17.0%
동 16
 
7.2%
길 12
 
5.4%
번 9
 
4.0%
문 7
 
3.1%
대 7
 
3.1%
천 7
 
3.1%
금 6
 
2.7%
중 6
 
2.7%
화 6
 
2.7%
Other values (62) 109
48.9%
Common
ValueCountFrequency (%)
110
39.9%
1 29
 
10.5%
3 19
 
6.9%
8 18
 
6.5%
2 15
 
5.4%
( 13
 
4.7%
) 13
 
4.7%
9 12
 
4.3%
0 11
 
4.0%
- 7
 
2.5%
Other values (5) 29
 
10.5%
Latin
ValueCountFrequency (%)
B 2
66.7%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 279
55.6%
Hangul 223
44.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
110
39.4%
1 29
 
10.4%
3 19
 
6.8%
8 18
 
6.5%
2 15
 
5.4%
( 13
 
4.7%
) 13
 
4.7%
9 12
 
4.3%
0 11
 
3.9%
- 7
 
2.5%
Other values (7) 32
 
11.5%
Hangul
ValueCountFrequency (%)
로 38
 
17.0%
동 16
 
7.2%
길 12
 
5.4%
번 9
 
4.0%
문 7
 
3.1%
대 7
 
3.1%
천 7
 
3.1%
금 6
 
2.7%
중 6
 
2.7%
화 6
 
2.7%
Other values (62) 109
48.9%

관리자
Text

Distinct34
Distinct (%)82.9%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-13T08:08:30.135756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length8.2195122
Min length2

Characters and Unicode

Total characters337
Distinct characters99
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)70.7%

Sample

1st row광주북구청소년수련관
2nd row광주광역시 북구청
3rd row광주광역시
4th row광주광역시
5th row5.18기념문화센터
ValueCountFrequency (%)
광주광역시 7
 
13.0%
국립아시아문화전당 3
 
5.6%
광주문화재단 3
 
5.6%
재)광주광역시 3
 
5.6%
광산구청 2
 
3.7%
서구청 2
 
3.7%
5.18기념문화센터 2
 
3.7%
광주북구청소년수련관 1
 
1.9%
김남국 1
 
1.9%
국립아시아문화전당재단 1
 
1.9%
Other values (29) 29
53.7%
2023-12-13T08:08:30.456566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
광 34
 
10.1%
주 22
 
6.5%
시 16
 
4.7%
13
 
3.9%
문 13
 
3.9%
화 13
 
3.9%
재 13
 
3.9%
역 11
 
3.3%
( 9
 
2.7%
) 9
 
2.7%
Other values (89) 184
54.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 298
88.4%
Space Separator 13
 
3.9%
Open Punctuation 9
 
2.7%
Close Punctuation 9
 
2.7%
Decimal Number 6
 
1.8%
Other Punctuation 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 34
 
11.4%
주 22
 
7.4%
시 16
 
5.4%
문 13
 
4.4%
화 13
 
4.4%
재 13
 
4.4%
역 11
 
3.7%
청 8
 
2.7%
구 8
 
2.7%
아 8
 
2.7%
Other values (82) 152
51.0%
Decimal Number
ValueCountFrequency (%)
1 2
33.3%
8 2
33.3%
5 2
33.3%
Space Separator
ValueCountFrequency (%)
13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 298
88.4%
Common 39
 
11.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 34
 
11.4%
주 22
 
7.4%
시 16
 
5.4%
문 13
 
4.4%
화 13
 
4.4%
재 13
 
4.4%
역 11
 
3.7%
청 8
 
2.7%
구 8
 
2.7%
아 8
 
2.7%
Other values (82) 152
51.0%
Common
ValueCountFrequency (%)
13
33.3%
( 9
23.1%
) 9
23.1%
1 2
 
5.1%
8 2
 
5.1%
. 2
 
5.1%
5 2
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 298
88.4%
ASCII 39
 
11.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
광 34
 
11.4%
주 22
 
7.4%
시 16
 
5.4%
문 13
 
4.4%
화 13
 
4.4%
재 13
 
4.4%
역 11
 
3.7%
청 8
 
2.7%
구 8
 
2.7%
아 8
 
2.7%
Other values (82) 152
51.0%
ASCII
ValueCountFrequency (%)
13
33.3%
( 9
23.1%
) 9
23.1%
1 2
 
5.1%
8 2
 
5.1%
. 2
 
5.1%
5 2
 
5.1%

연락처
Text

Distinct34
Distinct (%)82.9%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-13T08:08:30.680331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.097561
Min length12

Characters and Unicode

Total characters496
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)70.7%

Sample

1st row062-268-2321
2nd row062-410-6628
3rd row062-613-8333
4th row062-613-8333
5th row062-376-5197
ValueCountFrequency (%)
062-670-7400 3
 
7.3%
062-601-4473 3
 
7.3%
062-613-8333 2
 
4.9%
062-376-5197 2
 
4.9%
062-360-8431 2
 
4.9%
062-654-3625 1
 
2.4%
062-223-2690 1
 
2.4%
062-222-6280 1
 
2.4%
062-227-7439 1
 
2.4%
062-430-0334 1
 
2.4%
Other values (24) 24
58.5%
2023-12-13T08:08:31.089288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 82
16.5%
- 82
16.5%
2 75
15.1%
6 74
14.9%
3 40
8.1%
7 39
7.9%
4 34
6.9%
5 20
 
4.0%
1 19
 
3.8%
8 17
 
3.4%
Other values (2) 14
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 412
83.1%
Dash Punctuation 82
 
16.5%
Space Separator 2
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 82
19.9%
2 75
18.2%
6 74
18.0%
3 40
9.7%
7 39
9.5%
4 34
8.3%
5 20
 
4.9%
1 19
 
4.6%
8 17
 
4.1%
9 12
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 82
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 496
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 82
16.5%
- 82
16.5%
2 75
15.1%
6 74
14.9%
3 40
8.1%
7 39
7.9%
4 34
6.9%
5 20
 
4.0%
1 19
 
3.8%
8 17
 
3.4%
Other values (2) 14
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 496
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 82
16.5%
- 82
16.5%
2 75
15.1%
6 74
14.9%
3 40
8.1%
7 39
7.9%
4 34
6.9%
5 20
 
4.0%
1 19
 
3.8%
8 17
 
3.4%
Other values (2) 14
 
2.8%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
2022-12-31
41 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-12-31
2nd row2022-12-31
3rd row2022-12-31
4th row2022-12-31
5th row2022-12-31

Common Values

ValueCountFrequency (%)
2022-12-31 41
100.0%

Length

2023-12-13T08:08:31.222563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:08:31.328742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-12-31 41
100.0%

Correlations

2023-12-13T08:08:31.412204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공연장명시군구소재지관리자연락처
공연장명1.0001.0001.0001.0001.000
시군구1.0001.0001.0001.0001.000
소재지1.0001.0001.0000.9971.000
관리자1.0001.0000.9971.0001.000
연락처1.0001.0001.0001.0001.000

Missing values

2023-12-13T08:08:28.504300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:08:28.598790image/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

공연장명시군구소재지관리자연락처데이터기준일자
0북구청소년수련관 상상마루 공연장북구대천로 86광주북구청소년수련관062-268-23212022-12-31
1북구문화센터북구하서로 299광주광역시 북구청062-410-66282022-12-31
2문화예술회관 대극장북구북문대로 60광주광역시062-613-83332022-12-31
3문화예술회관 소극장북구북문대로 60광주광역시062-613-83332022-12-31
45.18기념문화관(민주홀)서구내방로 152 (쌍촌동)5.18기념문화센터062-376-51972022-12-31
5광주광역시 청소년수련원 청소년극장서구학생독립로 37 (화정동)(재)한국천주교살레시오수녀회062-373-09422022-12-31
6광주학생교육문화회관서구상무민주로 61 (쌍촌동)광주학생교육문화회관062-380-88572022-12-31
7빛고을국악전수관서구풍금로 182 (금호동, 빛고을국악전수관)서구청062-360-74622022-12-31
85.18기념문화관(대동홀)서구내방로 152 (쌍촌동)5.18기념문화센터062-376-51972022-12-31
9서구문화센터공연장서구마재로 3 (금호동)(재)광주기독교청년회유지재단062-654-43002022-12-31
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31광주음악산업진흥센터남구사직길 17(재)광주정보문화산업진흥원062-654-36252022-12-31
32광주광역시남구 종합문화예술회관남구봉선로 208학교법인 호심학원 광주대학교062-670-50612022-12-31
33빛고을시민문화관남구천변좌로 338번길 7(재)광주광역시 광주문화재단062-670-74002022-12-31
34빛고을아트스페이스 소공연장남구천변좌로 338번길 7(재)광주광역시 광주문화재단062-670-74002022-12-31
35홀로그램극장 광주남구천변좌로 338번길 7(재)광주광역시 광주문화재단062-670-74002022-12-31
36핑크노이즈남구대남대로 185, A동 4층이진숙070-7759-82082022-12-31
37광산문화예술회관광산구광산로68번길 13광주광역시 광산구청062-960-88642022-12-31
38수완레미어린이극장광산구장신로 98(장덕동)홍미경062-975-28602022-12-31
39광산구청소년수련관 공연장광산구첨단중앙로182번길 39(쌍암동)최협062-971-55332022-12-31
40수완종합체육관광산구왕버들로132번길 11광주광역시 광산구청062-960-99242022-12-31