Overview

Dataset statistics

Number of variables33
Number of observations255
Missing cells2106
Missing cells (%)25.0%
Duplicate rows4
Duplicate rows (%)1.6%
Total size in memory65.9 KiB
Average record size in memory264.5 B

Variable types

Unsupported23
Categorical3
Text7

Dataset

Description3붙임4_2015문예회관운영현황전북
Author전라북도
URLhttps://www.bigdatahub.go.kr/opendata/dataSet/detail.nm?contentId=37&rlik=49451aebf056b486&serviceId=202810

Alerts

Dataset has 4 (1.6%) duplicate rowsDuplicates
Unnamed: 3 is highly imbalanced (59.1%)Imbalance
2015년 전국 문화기반시설 총람(문예회관) - 2015.12.31 기준 has 7 (2.7%) missing valuesMissing
Unnamed: 2 has 24 (9.4%) missing valuesMissing
Unnamed: 4 has 7 (2.7%) missing valuesMissing
Unnamed: 5 has 25 (9.8%) missing valuesMissing
Unnamed: 6 has 26 (10.2%) missing valuesMissing
Unnamed: 7 has 24 (9.4%) missing valuesMissing
Unnamed: 9 has 50 (19.6%) missing valuesMissing
Unnamed: 10 has 25 (9.8%) missing valuesMissing
Unnamed: 11 has 26 (10.2%) missing valuesMissing
Unnamed: 12 has 203 (79.6%) missing valuesMissing
Unnamed: 13 has 205 (80.4%) missing valuesMissing
Unnamed: 14 has 26 (10.2%) missing valuesMissing
Unnamed: 15 has 59 (23.1%) missing valuesMissing
Unnamed: 16 has 60 (23.5%) missing valuesMissing
Unnamed: 17 has 137 (53.7%) missing valuesMissing
Unnamed: 18 has 138 (54.1%) missing valuesMissing
Unnamed: 19 has 80 (31.4%) missing valuesMissing
Unnamed: 20 has 81 (31.8%) missing valuesMissing
Unnamed: 21 has 164 (64.3%) missing valuesMissing
Unnamed: 22 has 152 (59.6%) missing valuesMissing
Unnamed: 23 has 164 (64.3%) missing valuesMissing
Unnamed: 24 has 166 (65.1%) missing valuesMissing
Unnamed: 25 has 33 (12.9%) missing valuesMissing
Unnamed: 26 has 42 (16.5%) missing valuesMissing
Unnamed: 27 has 28 (11.0%) missing valuesMissing
Unnamed: 28 has 31 (12.2%) missing valuesMissing
Unnamed: 29 has 35 (13.7%) missing valuesMissing
Unnamed: 30 has 27 (10.6%) missing valuesMissing
Unnamed: 31 has 31 (12.2%) missing valuesMissing
Unnamed: 32 has 30 (11.8%) missing valuesMissing
2015년 전국 문화기반시설 총람(문예회관) - 2015.12.31 기준 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
Unnamed: 13 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 14 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 15 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 16 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 17 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 18 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 19 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 20 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 21 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 22 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 23 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 24 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 25 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 26 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 27 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 28 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 29 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 30 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 31 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 32 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-14 01:21:21.548453
Analysis finished2024-03-14 01:21:22.050837
Duration0.5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Missing7
Missing (%)2.7%
Memory size2.1 KiB

Unnamed: 1
Categorical

Distinct19
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
경기도
35 
경상북도
25 
<NA>
24 
경상남도
20 
강원도
19 
Other values (14)
132 

Length

Max length7
Median length4
Mean length4.0705882
Min length2

Unique

Unique2 ?
Unique (%)0.8%

Sample

1st row<NA>
2nd row시도
3rd row<NA>
4th row서울특별시
5th row서울특별시

Common Values

ValueCountFrequency (%)
경기도 35
13.7%
경상북도 25
9.8%
<NA> 24
9.4%
경상남도 20
 
7.8%
강원도 19
 
7.5%
전라남도 19
 
7.5%
충청남도 17
 
6.7%
전라북도 16
 
6.3%
서울특별시 16
 
6.3%
충청북도 13
 
5.1%
Other values (9) 51
20.0%

Length

2024-03-14T10:21:22.114004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 35
13.7%
경상북도 25
9.8%
na 24
9.4%
경상남도 20
 
7.8%
강원도 19
 
7.5%
전라남도 19
 
7.5%
충청남도 17
 
6.7%
전라북도 16
 
6.3%
서울특별시 16
 
6.3%
충청북도 13
 
5.1%
Other values (9) 51
20.0%

Unnamed: 2
Text

MISSING 

Distinct176
Distinct (%)76.2%
Missing24
Missing (%)9.4%
Memory size2.1 KiB
2024-03-14T10:21:22.375239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.0606061
Min length2

Characters and Unicode

Total characters707
Distinct characters118
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique144 ?
Unique (%)62.3%

Sample

1st row시군구
2nd row종로구
3rd row강동구
4th row강북구
5th row관악구
ValueCountFrequency (%)
남구 8
 
3.5%
서구 6
 
2.6%
중구 6
 
2.6%
북구 5
 
2.2%
동구 4
 
1.7%
고양시 3
 
1.3%
창원시 3
 
1.3%
평택시 3
 
1.3%
천안시 3
 
1.3%
포항시 3
 
1.3%
Other values (163) 187
81.0%
2024-03-14T10:21:22.806657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
97
 
13.7%
76
 
10.7%
64
 
9.1%
34
 
4.8%
25
 
3.5%
23
 
3.3%
17
 
2.4%
17
 
2.4%
16
 
2.3%
15
 
2.1%
Other values (108) 323
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 673
95.2%
Space Separator 34
 
4.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
97
 
14.4%
76
 
11.3%
64
 
9.5%
25
 
3.7%
23
 
3.4%
17
 
2.5%
17
 
2.5%
16
 
2.4%
15
 
2.2%
13
 
1.9%
Other values (107) 310
46.1%
Space Separator
ValueCountFrequency (%)
34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 673
95.2%
Common 34
 
4.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
97
 
14.4%
76
 
11.3%
64
 
9.5%
25
 
3.7%
23
 
3.4%
17
 
2.5%
17
 
2.5%
16
 
2.4%
15
 
2.2%
13
 
1.9%
Other values (107) 310
46.1%
Common
ValueCountFrequency (%)
34
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 673
95.2%
ASCII 34
 
4.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
97
 
14.4%
76
 
11.3%
64
 
9.5%
25
 
3.7%
23
 
3.4%
17
 
2.5%
17
 
2.5%
16
 
2.4%
15
 
2.2%
13
 
1.9%
Other values (107) 310
46.1%
ASCII
ValueCountFrequency (%)
34
100.0%

Unnamed: 3
Categorical

IMBALANCE 

Distinct6
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
기초자치단체
202 
<NA>
24 
광역자치단체
23 
기초지자체
 
4
건립주체
 
1

Length

Max length6
Median length6
Mean length5.7764706
Min length3

Unique

Unique2 ?
Unique (%)0.8%

Sample

1st row<NA>
2nd row건립주체
3rd row<NA>
4th row광역자치단체
5th row기초자치단체

Common Values

ValueCountFrequency (%)
기초자치단체 202
79.2%
<NA> 24
 
9.4%
광역자치단체 23
 
9.0%
기초지자체 4
 
1.6%
건립주체 1
 
0.4%
남원시 1
 
0.4%

Length

2024-03-14T10:21:22.943227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:21:23.029736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기초자치단체 202
79.2%
na 24
 
9.4%
광역자치단체 23
 
9.0%
기초지자체 4
 
1.6%
건립주체 1
 
0.4%
남원시 1
 
0.4%

Unnamed: 4
Text

MISSING 

Distinct241
Distinct (%)97.2%
Missing7
Missing (%)2.7%
Memory size2.1 KiB
2024-03-14T10:21:23.240021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length6.9475806
Min length2

Characters and Unicode

Total characters1723
Distinct characters209
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique235 ?
Unique (%)94.8%

Sample

1st row시설명
2nd row(재)세종문화회관
3rd row강동아트센터
4th row강북문화예술회관
5th row관악문화관도서관
ValueCountFrequency (%)
문화예술회관 7
 
2.6%
문화회관 3
 
1.1%
11개 2
 
0.8%
문예회관 2
 
0.8%
전당 2
 
0.8%
북구 2
 
0.8%
19개 2
 
0.8%
8개 2
 
0.8%
서구문화회관 2
 
0.8%
나주문화예술회관 1
 
0.4%
Other values (240) 240
90.6%
2024-03-14T10:21:23.809660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
153
 
8.9%
147
 
8.5%
140
 
8.1%
134
 
7.8%
108
 
6.3%
90
 
5.2%
37
 
2.1%
34
 
2.0%
31
 
1.8%
30
 
1.7%
Other values (199) 819
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1652
95.9%
Decimal Number 34
 
2.0%
Space Separator 31
 
1.8%
Uppercase Letter 2
 
0.1%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%
Math Symbol 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
153
 
9.3%
147
 
8.9%
140
 
8.5%
134
 
8.1%
108
 
6.5%
90
 
5.4%
37
 
2.2%
34
 
2.1%
30
 
1.8%
30
 
1.8%
Other values (183) 749
45.3%
Decimal Number
ValueCountFrequency (%)
1 13
38.2%
5 5
 
14.7%
3 4
 
11.8%
8 3
 
8.8%
2 3
 
8.8%
6 2
 
5.9%
9 2
 
5.9%
7 1
 
2.9%
0 1
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
K 1
50.0%
S 1
50.0%
Space Separator
ValueCountFrequency (%)
31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Math Symbol
ValueCountFrequency (%)
1
100.0%
Other Punctuation
ValueCountFrequency (%)
· 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1652
95.9%
Common 69
 
4.0%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
153
 
9.3%
147
 
8.9%
140
 
8.5%
134
 
8.1%
108
 
6.5%
90
 
5.4%
37
 
2.2%
34
 
2.1%
30
 
1.8%
30
 
1.8%
Other values (183) 749
45.3%
Common
ValueCountFrequency (%)
31
44.9%
1 13
18.8%
5 5
 
7.2%
3 4
 
5.8%
8 3
 
4.3%
2 3
 
4.3%
6 2
 
2.9%
9 2
 
2.9%
7 1
 
1.4%
) 1
 
1.4%
Other values (4) 4
 
5.8%
Latin
ValueCountFrequency (%)
K 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1652
95.9%
ASCII 69
 
4.0%
Math Operators 1
 
0.1%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
153
 
9.3%
147
 
8.9%
140
 
8.5%
134
 
8.1%
108
 
6.5%
90
 
5.4%
37
 
2.2%
34
 
2.1%
30
 
1.8%
30
 
1.8%
Other values (183) 749
45.3%
ASCII
ValueCountFrequency (%)
31
44.9%
1 13
18.8%
5 5
 
7.2%
3 4
 
5.8%
8 3
 
4.3%
2 3
 
4.3%
6 2
 
2.9%
9 2
 
2.9%
7 1
 
1.4%
) 1
 
1.4%
Other values (4) 4
 
5.8%
Math Operators
ValueCountFrequency (%)
1
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

Unnamed: 5
Text

MISSING 

Distinct230
Distinct (%)100.0%
Missing25
Missing (%)9.8%
Memory size2.1 KiB
2024-03-14T10:21:24.168420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length27
Mean length18.765217
Min length6

Characters and Unicode

Total characters4316
Distinct characters247
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique230 ?
Unique (%)100.0%

Sample

1st row주 소
2nd row서울특별시 종로구 세종로 175
3rd row서울특별시 강동구 동남로 870
4th row서울특별시 강북구 삼각산로 85
5th row서울특별시 관악구 신림로3길 35
ValueCountFrequency (%)
경기도 35
 
3.5%
경북 25
 
2.5%
경남 20
 
2.0%
강원도 19
 
1.9%
전남 19
 
1.9%
충남 17
 
1.7%
서울특별시 16
 
1.6%
충북 13
 
1.3%
대구광역시 11
 
1.1%
부산광역시 11
 
1.1%
Other values (672) 817
81.5%
2024-03-14T10:21:24.602650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
783
 
18.1%
192
 
4.4%
167
 
3.9%
1 153
 
3.5%
103
 
2.4%
2 93
 
2.2%
91
 
2.1%
87
 
2.0%
3 84
 
1.9%
83
 
1.9%
Other values (237) 2480
57.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2710
62.8%
Space Separator 784
 
18.2%
Decimal Number 703
 
16.3%
Close Punctuation 43
 
1.0%
Open Punctuation 43
 
1.0%
Dash Punctuation 27
 
0.6%
Other Punctuation 4
 
0.1%
Control 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
192
 
7.1%
167
 
6.2%
103
 
3.8%
91
 
3.4%
87
 
3.2%
83
 
3.1%
79
 
2.9%
72
 
2.7%
69
 
2.5%
68
 
2.5%
Other values (219) 1699
62.7%
Decimal Number
ValueCountFrequency (%)
1 153
21.8%
2 93
13.2%
3 84
11.9%
5 68
9.7%
0 60
 
8.5%
8 55
 
7.8%
4 52
 
7.4%
9 47
 
6.7%
6 47
 
6.7%
7 44
 
6.3%
Space Separator
ValueCountFrequency (%)
783
99.9%
  1
 
0.1%
Other Punctuation
ValueCountFrequency (%)
, 3
75.0%
. 1
 
25.0%
Close Punctuation
ValueCountFrequency (%)
) 43
100.0%
Open Punctuation
ValueCountFrequency (%)
( 43
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%
Control
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2710
62.8%
Common 1606
37.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
192
 
7.1%
167
 
6.2%
103
 
3.8%
91
 
3.4%
87
 
3.2%
83
 
3.1%
79
 
2.9%
72
 
2.7%
69
 
2.5%
68
 
2.5%
Other values (219) 1699
62.7%
Common
ValueCountFrequency (%)
783
48.8%
1 153
 
9.5%
2 93
 
5.8%
3 84
 
5.2%
5 68
 
4.2%
0 60
 
3.7%
8 55
 
3.4%
4 52
 
3.2%
9 47
 
2.9%
6 47
 
2.9%
Other values (8) 164
 
10.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2710
62.8%
ASCII 1605
37.2%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
783
48.8%
1 153
 
9.5%
2 93
 
5.8%
3 84
 
5.2%
5 68
 
4.2%
0 60
 
3.7%
8 55
 
3.4%
4 52
 
3.2%
9 47
 
2.9%
6 47
 
2.9%
Other values (7) 163
 
10.2%
Hangul
ValueCountFrequency (%)
192
 
7.1%
167
 
6.2%
103
 
3.8%
91
 
3.4%
87
 
3.2%
83
 
3.1%
79
 
2.9%
72
 
2.7%
69
 
2.5%
68
 
2.5%
Other values (219) 1699
62.7%
None
ValueCountFrequency (%)
  1
100.0%

Unnamed: 6
Text

MISSING 

Distinct224
Distinct (%)97.8%
Missing26
Missing (%)10.2%
Memory size2.1 KiB
2024-03-14T10:21:24.873729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length12
Mean length12.026201
Min length3

Characters and Unicode

Total characters2754
Distinct characters17
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

Unique219 ?
Unique (%)95.6%

Sample

1st row연락처
2nd row02-399-1114
3rd row02-440-0514
4th row02-944-3068 02-944-3065
5th row02-887-6890
ValueCountFrequency (%)
031-687-0500 2
 
0.9%
1577-7766 2
 
0.9%
031-8015-8152 2
 
0.9%
043-200-4436 2
 
0.9%
062-670-7900 2
 
0.9%
063-281-2780 1
 
0.4%
063-859-4782 1
 
0.4%
063-859-3315 1
 
0.4%
063-454-5521 1
 
0.4%
063-232-2556 1
 
0.4%
Other values (215) 215
93.5%
2024-03-14T10:21:25.242130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 496
18.0%
- 455
16.5%
3 295
10.7%
5 265
9.6%
6 216
7.8%
4 211
7.7%
1 209
7.6%
2 198
 
7.2%
7 143
 
5.2%
8 136
 
4.9%
Other values (7) 130
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2283
82.9%
Dash Punctuation 455
 
16.5%
Space Separator 9
 
0.3%
Math Symbol 3
 
0.1%
Other Letter 3
 
0.1%
Control 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 496
21.7%
3 295
12.9%
5 265
11.6%
6 216
9.5%
4 211
9.2%
1 209
9.2%
2 198
 
8.7%
7 143
 
6.3%
8 136
 
6.0%
9 114
 
5.0%
Other Letter
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 455
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2751
99.9%
Hangul 3
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 496
18.0%
- 455
16.5%
3 295
10.7%
5 265
9.6%
6 216
7.9%
4 211
7.7%
1 209
7.6%
2 198
 
7.2%
7 143
 
5.2%
8 136
 
4.9%
Other values (4) 127
 
4.6%
Hangul
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2751
99.9%
Hangul 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 496
18.0%
- 455
16.5%
3 295
10.7%
5 265
9.6%
6 216
7.9%
4 211
7.7%
1 209
7.6%
2 198
 
7.2%
7 143
 
5.2%
8 136
 
4.9%
Other values (4) 127
 
4.6%
Hangul
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

Unnamed: 7
Text

MISSING 

Distinct203
Distinct (%)87.9%
Missing24
Missing (%)9.4%
Memory size2.1 KiB
2024-03-14T10:21:25.477688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length6.2900433
Min length3

Characters and Unicode

Total characters1453
Distinct characters166
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique180 ?
Unique (%)77.9%

Sample

1st row운영주체
2nd row운영기관명
3rd row(재)세종문화회관
4th row강동구청
5th row강북구도시관리공단
ValueCountFrequency (%)
재)창원문화재단 3
 
1.3%
평택시청 3
 
1.3%
북구청 3
 
1.3%
중구청 3
 
1.3%
포항시시설관리공단 3
 
1.3%
진천군청 2
 
0.8%
시설관리공단 2
 
0.8%
고성군청 2
 
0.8%
김천시청 2
 
0.8%
안양문화예술재단 2
 
0.8%
Other values (197) 211
89.4%
2024-03-14T10:21:25.825583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
133
 
9.2%
101
 
7.0%
82
 
5.6%
69
 
4.7%
69
 
4.7%
59
 
4.1%
55
 
3.8%
( 45
 
3.1%
) 45
 
3.1%
40
 
2.8%
Other values (156) 755
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1349
92.8%
Open Punctuation 45
 
3.1%
Close Punctuation 45
 
3.1%
Space Separator 10
 
0.7%
Decimal Number 3
 
0.2%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
133
 
9.9%
101
 
7.5%
82
 
6.1%
69
 
5.1%
69
 
5.1%
59
 
4.4%
55
 
4.1%
40
 
3.0%
35
 
2.6%
34
 
2.5%
Other values (149) 672
49.8%
Decimal Number
ValueCountFrequency (%)
5 1
33.3%
1 1
33.3%
8 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 45
100.0%
Close Punctuation
ValueCountFrequency (%)
) 45
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Other Punctuation
ValueCountFrequency (%)
· 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1349
92.8%
Common 104
 
7.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
133
 
9.9%
101
 
7.5%
82
 
6.1%
69
 
5.1%
69
 
5.1%
59
 
4.4%
55
 
4.1%
40
 
3.0%
35
 
2.6%
34
 
2.5%
Other values (149) 672
49.8%
Common
ValueCountFrequency (%)
( 45
43.3%
) 45
43.3%
10
 
9.6%
5 1
 
1.0%
· 1
 
1.0%
1 1
 
1.0%
8 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1349
92.8%
ASCII 103
 
7.1%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
133
 
9.9%
101
 
7.5%
82
 
6.1%
69
 
5.1%
69
 
5.1%
59
 
4.4%
55
 
4.1%
40
 
3.0%
35
 
2.6%
34
 
2.5%
Other values (149) 672
49.8%
ASCII
ValueCountFrequency (%)
( 45
43.7%
) 45
43.7%
10
 
9.7%
5 1
 
1.0%
1 1
 
1.0%
8 1
 
1.0%
None
ValueCountFrequency (%)
· 1
100.0%

Unnamed: 8
Categorical

Distinct14
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
지자체 직영
134 
재단법인
43 
<NA>
25 
공기업(지방공단) 위탁
20 
공기업(지방공단)위탁
 
8
Other values (9)
25 

Length

Max length12
Median length6
Mean length6.0117647
Min length4

Unique

Unique5 ?
Unique (%)2.0%

Sample

1st row<NA>
2nd row<NA>
3rd row운영기관 성격
4th row재단법인
5th row지자체 직영

Common Values

ValueCountFrequency (%)
지자체 직영 134
52.5%
재단법인 43
 
16.9%
<NA> 25
 
9.8%
공기업(지방공단) 위탁 20
 
7.8%
공기업(지방공단)위탁 8
 
3.1%
민간위탁 8
 
3.1%
지자체직영 8
 
3.1%
공공기관 위탁 2
 
0.8%
공공기관위탁 2
 
0.8%
운영기관 성격 1
 
0.4%
Other values (4) 4
 
1.6%

Length

2024-03-14T10:21:25.947374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
지자체 134
32.5%
직영 134
32.5%
재단법인 43
 
10.4%
na 25
 
6.1%
위탁 22
 
5.3%
공기업(지방공단 20
 
4.9%
공기업(지방공단)위탁 8
 
1.9%
민간위탁 8
 
1.9%
지자체직영 8
 
1.9%
공공기관 3
 
0.7%
Other values (6) 7
 
1.7%

Unnamed: 9
Text

MISSING 

Distinct185
Distinct (%)90.2%
Missing50
Missing (%)19.6%
Memory size2.1 KiB
2024-03-14T10:21:26.254390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length34
Mean length20.965854
Min length2

Characters and Unicode

Total characters4298
Distinct characters76
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique168 ?
Unique (%)82.0%

Sample

1st row홈페이지
2nd rowwww.sejongpac.or.kr
3rd rowwww.gangdongarts.or.kr
4th rowhttp://www.gangbukcmc.seoul.kr/group02/page02.php
5th rowhttp://www.gacc.or.kr/board/
ValueCountFrequency (%)
www.cwcf.or.kr 3
 
1.4%
http://www.pyeongtaek.go.kr/contents.do?menu_code=500400000000 3
 
1.4%
없음 3
 
1.4%
http://women.cheonan.go.kr 2
 
1.0%
1 2
 
1.0%
http://www.phsisul.org 2
 
1.0%
www.cjcity.net 2
 
1.0%
http://art.hcf.or.kr 2
 
1.0%
http://www.ayac.or.kr 2
 
1.0%
www.snart.or.kr 2
 
1.0%
Other values (176) 184
88.9%
2024-03-14T10:21:26.665675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 569
13.2%
w 416
 
9.7%
r 382
 
8.9%
t 323
 
7.5%
o 265
 
6.2%
/ 225
 
5.2%
g 220
 
5.1%
a 209
 
4.9%
k 198
 
4.6%
n 149
 
3.5%
Other values (66) 1342
31.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3218
74.9%
Other Punctuation 890
 
20.7%
Decimal Number 62
 
1.4%
Uppercase Letter 59
 
1.4%
Other Letter 28
 
0.7%
Space Separator 26
 
0.6%
Connector Punctuation 6
 
0.1%
Math Symbol 4
 
0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 416
12.9%
r 382
11.9%
t 323
10.0%
o 265
 
8.2%
g 220
 
6.8%
a 209
 
6.5%
k 198
 
6.2%
n 149
 
4.6%
c 137
 
4.3%
h 137
 
4.3%
Other values (14) 782
24.3%
Other Letter
ValueCountFrequency (%)
3
10.7%
3
10.7%
3
10.7%
2
 
7.1%
2
 
7.1%
2
 
7.1%
2
 
7.1%
2
 
7.1%
1
 
3.6%
1
 
3.6%
Other values (7) 7
25.0%
Uppercase Letter
ValueCountFrequency (%)
U 9
15.3%
E 8
13.6%
C 8
13.6%
O 5
8.5%
N 5
8.5%
R 4
 
6.8%
D 3
 
5.1%
M 3
 
5.1%
J 2
 
3.4%
K 2
 
3.4%
Other values (5) 10
16.9%
Decimal Number
ValueCountFrequency (%)
0 36
58.1%
1 8
 
12.9%
2 5
 
8.1%
4 4
 
6.5%
5 4
 
6.5%
8 3
 
4.8%
9 1
 
1.6%
3 1
 
1.6%
Other Punctuation
ValueCountFrequency (%)
. 569
63.9%
/ 225
 
25.3%
: 88
 
9.9%
? 4
 
0.4%
, 3
 
0.3%
; 1
 
0.1%
Space Separator
ValueCountFrequency (%)
26
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 6
100.0%
Math Symbol
ValueCountFrequency (%)
= 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3277
76.2%
Common 993
 
23.1%
Hangul 28
 
0.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 416
12.7%
r 382
11.7%
t 323
 
9.9%
o 265
 
8.1%
g 220
 
6.7%
a 209
 
6.4%
k 198
 
6.0%
n 149
 
4.5%
c 137
 
4.2%
h 137
 
4.2%
Other values (29) 841
25.7%
Common
ValueCountFrequency (%)
. 569
57.3%
/ 225
 
22.7%
: 88
 
8.9%
0 36
 
3.6%
26
 
2.6%
1 8
 
0.8%
_ 6
 
0.6%
2 5
 
0.5%
4 4
 
0.4%
5 4
 
0.4%
Other values (10) 22
 
2.2%
Hangul
ValueCountFrequency (%)
3
10.7%
3
10.7%
3
10.7%
2
 
7.1%
2
 
7.1%
2
 
7.1%
2
 
7.1%
2
 
7.1%
1
 
3.6%
1
 
3.6%
Other values (7) 7
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4270
99.3%
Hangul 28
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 569
13.3%
w 416
 
9.7%
r 382
 
8.9%
t 323
 
7.6%
o 265
 
6.2%
/ 225
 
5.3%
g 220
 
5.2%
a 209
 
4.9%
k 198
 
4.6%
n 149
 
3.5%
Other values (49) 1314
30.8%
Hangul
ValueCountFrequency (%)
3
10.7%
3
10.7%
3
10.7%
2
 
7.1%
2
 
7.1%
2
 
7.1%
2
 
7.1%
2
 
7.1%
1
 
3.6%
1
 
3.6%
Other values (7) 7
25.0%

Unnamed: 10
Text

MISSING 

Distinct228
Distinct (%)99.1%
Missing25
Missing (%)9.8%
Memory size2.1 KiB
2024-03-14T10:21:26.940665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length10
Mean length10.113043
Min length6

Characters and Unicode

Total characters2326
Distinct characters26
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

Unique226 ?
Unique (%)98.3%

Sample

1st row개 관 연 월 일
2nd row1978.04.14
3rd row2011.09.01
4th row2001.11.01
5th row2002.10.11
ValueCountFrequency (%)
2011.04.01 2
 
0.8%
2000.04.15 2
 
0.8%
1997.10.01 2
 
0.8%
10 2
 
0.8%
2001.09.21 2
 
0.8%
2006.06.21 1
 
0.4%
1987.12.03 1
 
0.4%
2005.02.16 1
 
0.4%
1989.01.01 1
 
0.4%
1995.05.06 1
 
0.4%
Other values (226) 226
93.8%
2024-03-14T10:21:27.377453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 543
23.3%
. 465
20.0%
1 370
15.9%
2 279
12.0%
9 222
9.5%
5 91
 
3.9%
4 74
 
3.2%
8 73
 
3.1%
3 61
 
2.6%
7 56
 
2.4%
Other values (16) 92
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1816
78.1%
Other Punctuation 465
 
20.0%
Space Separator 24
 
1.0%
Other Letter 15
 
0.6%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%
Control 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3
20.0%
3
20.0%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
Decimal Number
ValueCountFrequency (%)
0 543
29.9%
1 370
20.4%
2 279
15.4%
9 222
12.2%
5 91
 
5.0%
4 74
 
4.1%
8 73
 
4.0%
3 61
 
3.4%
7 56
 
3.1%
6 47
 
2.6%
Other Punctuation
ValueCountFrequency (%)
. 465
100.0%
Space Separator
ValueCountFrequency (%)
24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Control
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2311
99.4%
Hangul 15
 
0.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 543
23.5%
. 465
20.1%
1 370
16.0%
2 279
12.1%
9 222
9.6%
5 91
 
3.9%
4 74
 
3.2%
8 73
 
3.2%
3 61
 
2.6%
7 56
 
2.4%
Other values (5) 77
 
3.3%
Hangul
ValueCountFrequency (%)
3
20.0%
3
20.0%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2311
99.4%
Hangul 15
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 543
23.5%
. 465
20.1%
1 370
16.0%
2 279
12.1%
9 222
9.6%
5 91
 
3.9%
4 74
 
3.2%
8 73
 
3.2%
3 61
 
2.6%
7 56
 
2.4%
Other values (5) 77
 
3.3%
Hangul
ValueCountFrequency (%)
3
20.0%
3
20.0%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%

Unnamed: 11
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)10.2%
Memory size2.1 KiB

Unnamed: 12
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing203
Missing (%)79.6%
Memory size2.1 KiB

Unnamed: 13
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing205
Missing (%)80.4%
Memory size2.1 KiB

Unnamed: 14
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)10.2%
Memory size2.1 KiB

Unnamed: 15
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing59
Missing (%)23.1%
Memory size2.1 KiB

Unnamed: 16
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)23.5%
Memory size2.1 KiB

Unnamed: 17
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing137
Missing (%)53.7%
Memory size2.1 KiB

Unnamed: 18
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing138
Missing (%)54.1%
Memory size2.1 KiB

Unnamed: 19
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)31.4%
Memory size2.1 KiB

Unnamed: 20
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)31.8%
Memory size2.1 KiB

Unnamed: 21
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing164
Missing (%)64.3%
Memory size2.1 KiB

Unnamed: 22
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing152
Missing (%)59.6%
Memory size2.1 KiB

Unnamed: 23
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing164
Missing (%)64.3%
Memory size2.1 KiB

Unnamed: 24
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing166
Missing (%)65.1%
Memory size2.1 KiB

Unnamed: 25
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)12.9%
Memory size2.1 KiB

Unnamed: 26
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)16.5%
Memory size2.1 KiB

Unnamed: 27
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)11.0%
Memory size2.1 KiB

Unnamed: 28
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)12.2%
Memory size2.1 KiB

Unnamed: 29
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)13.7%
Memory size2.1 KiB

Unnamed: 30
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing27
Missing (%)10.6%
Memory size2.1 KiB

Unnamed: 31
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)12.2%
Memory size2.1 KiB

Unnamed: 32
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)11.8%
Memory size2.1 KiB

Sample

2015년 전국 문화기반시설 총람(문예회관) - 2015.12.31 기준Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20Unnamed: 21Unnamed: 22Unnamed: 23Unnamed: 24Unnamed: 25Unnamed: 26Unnamed: 27Unnamed: 28Unnamed: 29Unnamed: 30Unnamed: 31Unnamed: 32
0NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
1연번시도시군구건립주체시설명주 소연락처운영주체<NA>홈페이지개 관 연 월 일연면적\n(m²)종합공연장(대공연장)NaN시설명일반공연장(중공연장)NaN소공연장NaN전시장NaN교육장\n(m²)회의시설등\n(m²)야외공연장NaN총 직원수전문직원수공연일수전시일수공연\n유료관객총이용자수연간운영비\n(백만원)공연 및\n대관수입\n(백만원)
2NaN<NA><NA><NA><NA><NA><NA>운영기관명운영기관 성격<NA><NA>NaN객석수면적(m²)NaN객석수면적(m²)객석수면적(m²)개수면적(m²)NaNNaN수용인원면적(m²)NaNNaNNaNNaNNaNNaNNaNNaN
31서울특별시종로구광역자치단체(재)세종문화회관서울특별시 종로구 세종로 17502-399-1114(재)세종문화회관재단법인www.sejongpac.or.kr1978.04.1463396302217620(재)세종문화회관6092638443162755897557144NaNNaN418241001954432629694745379826951
42서울특별시강동구기초자치단체강동아트센터서울특별시 강동구 동남로 87002-440-0514강동구청지자체 직영www.gangdongarts.or.kr2011.09.0118065NaNNaN강동아트센터85019482504592487.6504NaNNaNNaN262222462060296979843206577
53서울특별시강북구기초자치단체강북문화예술회관서울특별시 강북구 삼각산로 8502-944-3068 02-944-3065강북구도시관리공단공기업(지방공단)위탁http://www.gangbukcmc.seoul.kr/group02/page02.php2001.11.0111266.65NaNNaN강북문화예술회관6661248NaNNaN13169843NaNNaN36318711780661133661268885
64서울특별시관악구기초자치단체관악문화관도서관서울특별시 관악구 신림로3길 3502-887-6890관악문화원사단법인http://www.gacc.or.kr/board/2002.10.1114280NaNNaN관악문화관도서관6983705NaNNaN1270524NaNNaNNaN4631731533783공연장 : 52,301\n전시실 : 9,71521571
75서울특별시광진구기초자치단체나루아트센터서울특별시 광진구 능동로 76번지02-2049-4700광진구시설관리공단공기업(지방공단)위탁www.naruart.or.kr2005.05.01188690.5NaNNaN나루아트센터656853192257.91271NaNNaNNaNNaN9421525012485114522682481
86서울특별시구로구기초자치단체구로아트밸리예술극장서울특별시 구로구 가마산로 25길 9-2402-2029-1700(재)구로문화재단재단법인http://www.guroartsvalley.or.kr/2008.07.228799.78NaNNaN구로아트밸리예술극장5791362.9NaNNaN1212.38142.8439.6NaNNaN28421616012420150701675113
97서울특별시금천구기초자치단체금나래아트홀서울특별시 금천구 시흥대로73길 금천구청 내 금나래아트홀02-2627-2981서을특별시금천구시설관리공단공기업(지방공단)위탁www.gnrart.or.kr2008.10.216262NaNNaN금나래아트홀566755NaNNaN1259425537NaNNaN53315147276201531108151
2015년 전국 문화기반시설 총람(문예회관) - 2015.12.31 기준Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20Unnamed: 21Unnamed: 22Unnamed: 23Unnamed: 24Unnamed: 25Unnamed: 26Unnamed: 27Unnamed: 28Unnamed: 29Unnamed: 30Unnamed: 31Unnamed: 32
245221경상남도고성군기초자치단체고성군문화체육센터경남 고성군 고성읍 송학고분로193055-670-5845고성군청지자체 직영<NA>2003.06.23448NaNNaN고성군문화체육센터374448NaNNaNNaNNaNNaNNaNNaNNaN10540500085002399
246222경상남도남해군기초자치단체남해문화체육센터경남 남해군 남해읍 선소로 12055-860-3716남해군청지자체 직영www.sportsnamhae.go.kr2000.01.023033.57NaNNaN남해문화체육센터NaNNaN270390NaNNaNNaNNaNNaNNaN1099043732555110.3257
247223경상남도산청군기초자치단체산청문화예술회관경남 산청군 금서면 친환경로 263번길 12055-970-6481산청군청지자체 직영<NA>2006.06.214049.21NaNNaN산청문화예술회관497634.74156153.8NaNNaN165.3NaNNaNNaN2010545510222301631
248224경상남도의령군기초자치단체의령군민문화회관경남 의령군 의령읍 의병로24길 31-1055-570-4920의령군청지자체 직영www.uiryeog.go.kr1993.04.213366NaNNaN의령군민문화회관4001018NaNNaNNaNNaNNaN142NaNNaN3179010464747425219
249225경상남도창녕군기초자치단체창녕문화예술회관경남 창녕군 창녕읍 우포2로 1189-25055-530-1911창녕군청지자체 직영https://art.cng.go.kr2012.11.014760.48NaNNaN창녕문화예술회관496830.49198250.221231.6122.47NaN60099041129180186515501852599
250226경상남도하동군기초자치단체하동문화예술회관경남 하동군 하동읍 섬진강대로 2222055-880-2384하동군청지자체 직영http://fac.hadong.go.kr2001.04.146670.66NaNNaN하동문화예술회관6789692003741244.44189NaNNaNNaN201849290007499211538
251227경상남도함안군기초자치단체함안문화예술회관경남 함안군 가야읍 함안대로619-1055-580-3604함안군청지자체 직영http://art.haman.go.kr2005.03.314641NaNNaN함안문화예술회관486984NaNNaN1207NaN2865001070111593115174217171169160
252228경상남도함양군기초자치단체함양문화예술회관경남 함양군 함양읍 필봉산길 55055-960-5531함양군청지자체 직영art.hygn.go.kr2011.11.259668NaNNaN함양문화예술회관48611172052151248NaN214NaNNaN6017015859416527331043
253229경상남도합천군기초자치단체합천문예회관경남 합천읍 황강체육공원로 93055-930-4934합천군청지자체 직영www.hc.go.kr1995.10.275170NaNNaN합천문예회관390485NaNNaN1264NaN132NaNNaN60743108878902
254경상남도<NA><NA><NA>20개<NA><NA><NA><NA><NA><NA>NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN

Duplicate rows

Most frequently occurring

Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10# duplicates
3<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>6
0<NA><NA><NA>11개<NA><NA><NA><NA><NA><NA>2
1<NA><NA><NA>19개<NA><NA><NA><NA><NA><NA>2
2<NA><NA><NA>8개<NA><NA><NA><NA><NA><NA>2