Overview

Dataset statistics

Number of variables8
Number of observations22
Missing cells21
Missing cells (%)11.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory72.0 B

Variable types

Numeric2
Categorical1
Text5

Dataset

Description전문예술법인단체지정현황201412
Author전라북도
URLhttps://www.bigdatahub.go.kr/opendata/dataSet/detail.nm?contentId=37&rlik=49451aebf056b486&serviceId=202029

Alerts

변경내용및변경일자 has constant value ""Constant
연번호 is highly overall correlated with 지정번호High correlation
지정번호 is highly overall correlated with 연번호High correlation
변경내용및변경일자 has 21 (95.5%) missing valuesMissing
연번호 has unique valuesUnique
지정번호 has unique valuesUnique
법인명(단체) has unique valuesUnique
성명(대표자) has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2024-03-14 02:23:26.752875
Analysis finished2024-03-14 02:23:27.499973
Duration0.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.5
Minimum1
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-03-14T11:23:27.543717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.05
Q16.25
median11.5
Q316.75
95-th percentile20.95
Maximum22
Range21
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation6.4935866
Coefficient of variation (CV)0.5646597
Kurtosis-1.2
Mean11.5
Median Absolute Deviation (MAD)5.5
Skewness0
Sum253
Variance42.166667
MonotonicityStrictly increasing
2024-03-14T11:23:27.667298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1 1
 
4.5%
13 1
 
4.5%
22 1
 
4.5%
21 1
 
4.5%
20 1
 
4.5%
19 1
 
4.5%
18 1
 
4.5%
17 1
 
4.5%
16 1
 
4.5%
15 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
1 1
4.5%
2 1
4.5%
3 1
4.5%
4 1
4.5%
5 1
4.5%
6 1
4.5%
7 1
4.5%
8 1
4.5%
9 1
4.5%
10 1
4.5%
ValueCountFrequency (%)
22 1
4.5%
21 1
4.5%
20 1
4.5%
19 1
4.5%
18 1
4.5%
17 1
4.5%
16 1
4.5%
15 1
4.5%
14 1
4.5%
13 1
4.5%

지정번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.227273
Minimum1
Maximum34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-03-14T11:23:27.872037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.15
Q112.5
median23.5
Q328.75
95-th percentile32.95
Maximum34
Range33
Interquartile range (IQR)16.25

Descriptive statistics

Standard deviation10.514986
Coefficient of variation (CV)0.51984202
Kurtosis-1.0254897
Mean20.227273
Median Absolute Deviation (MAD)7.5
Skewness-0.49229141
Sum445
Variance110.56494
MonotonicityStrictly increasing
2024-03-14T11:23:28.016098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1 1
 
4.5%
25 1
 
4.5%
34 1
 
4.5%
33 1
 
4.5%
32 1
 
4.5%
31 1
 
4.5%
30 1
 
4.5%
29 1
 
4.5%
28 1
 
4.5%
27 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
1 1
4.5%
2 1
4.5%
5 1
4.5%
6 1
4.5%
11 1
4.5%
12 1
4.5%
14 1
4.5%
16 1
4.5%
17 1
4.5%
19 1
4.5%
ValueCountFrequency (%)
34 1
4.5%
33 1
4.5%
32 1
4.5%
31 1
4.5%
30 1
4.5%
29 1
4.5%
28 1
4.5%
27 1
4.5%
26 1
4.5%
25 1
4.5%

지정형태
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
전문예술법인
14 
전문예술단체
8 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전문예술법인
2nd row전문예술법인
3rd row전문예술법인
4th row전문예술법인
5th row전문예술단체

Common Values

ValueCountFrequency (%)
전문예술법인 14
63.6%
전문예술단체 8
36.4%

Length

2024-03-14T11:23:28.117767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:23:28.205825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전문예술법인 14
63.6%
전문예술단체 8
36.4%

유형
Text

Distinct11
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-03-14T11:23:28.316015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.7272727
Min length2

Characters and Unicode

Total characters82
Distinct characters26
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)31.8%

Sample

1st row오페라단
2nd row종합예술단
3rd row전통예술단
4th row전통예술단
5th row전통예술단
ValueCountFrequency (%)
전통예술단 5
22.7%
연극단 4
18.2%
음악 4
18.2%
문화단체 2
 
9.1%
오페라단 1
 
4.5%
종합예술단 1
 
4.5%
국악공연단 1
 
4.5%
서예전시 1
 
4.5%
필봉농악단 1
 
4.5%
전통예술 1
 
4.5%
2024-03-14T11:23:28.541910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
단 15
18.3%
예 8
9.8%
전 7
 
8.5%
술 7
 
8.5%
악 6
 
7.3%
통 6
 
7.3%
연 5
 
6.1%
극 4
 
4.9%
음 4
 
4.9%
체 2
 
2.4%
Other values (16) 18
22.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 82
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
단 15
18.3%
예 8
9.8%
전 7
 
8.5%
술 7
 
8.5%
악 6
 
7.3%
통 6
 
7.3%
연 5
 
6.1%
극 4
 
4.9%
음 4
 
4.9%
체 2
 
2.4%
Other values (16) 18
22.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 82
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
단 15
18.3%
예 8
9.8%
전 7
 
8.5%
술 7
 
8.5%
악 6
 
7.3%
통 6
 
7.3%
연 5
 
6.1%
극 4
 
4.9%
음 4
 
4.9%
체 2
 
2.4%
Other values (16) 18
22.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 82
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
단 15
18.3%
예 8
9.8%
전 7
 
8.5%
술 7
 
8.5%
악 6
 
7.3%
통 6
 
7.3%
연 5
 
6.1%
극 4
 
4.9%
음 4
 
4.9%
체 2
 
2.4%
Other values (16) 18
22.0%

법인명(단체)
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-03-14T11:23:28.728600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length9.6363636
Min length4

Characters and Unicode

Total characters212
Distinct characters107
Distinct categories7 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row사)호남 오페라단
2nd row사)예술기획 예루
3rd row사)전통예술원 모악
4th row사)전통문화 마을
5th row예술단 판 打 stick
ValueCountFrequency (%)
사)호남 1
 
2.4%
미디어 1
 
2.4%
임실필봉 1
 
2.4%
농악보존회 1
 
2.4%
극단 1
 
2.4%
까치동 1
 
2.4%
사)전주세계소리축제조직위원회 1
 
2.4%
재)전주문화재단 1
 
2.4%
재)익산문화재단 1
 
2.4%
사)현대사진 1
 
2.4%
Other values (32) 32
76.2%
2024-03-14T11:23:29.046050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20
 
9.4%
사 13
 
6.1%
) 13
 
6.1%
단 6
 
2.8%
전 6
 
2.8%
회 5
 
2.4%
화 5
 
2.4%
예 5
 
2.4%
문 5
 
2.4%
원 4
 
1.9%
Other values (97) 130
61.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 169
79.7%
Space Separator 20
 
9.4%
Close Punctuation 13
 
6.1%
Lowercase Letter 5
 
2.4%
Open Punctuation 2
 
0.9%
Uppercase Letter 2
 
0.9%
Other Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 13
 
7.7%
단 6
 
3.6%
전 6
 
3.6%
회 5
 
3.0%
화 5
 
3.0%
예 5
 
3.0%
문 5
 
3.0%
원 4
 
2.4%
연 4
 
2.4%
악 4
 
2.4%
Other values (86) 112
66.3%
Lowercase Letter
ValueCountFrequency (%)
k 1
20.0%
s 1
20.0%
t 1
20.0%
i 1
20.0%
c 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
T 1
50.0%
Space Separator
ValueCountFrequency (%)
20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 168
79.2%
Common 36
 
17.0%
Latin 7
 
3.3%
Han 1
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 13
 
7.7%
단 6
 
3.6%
전 6
 
3.6%
회 5
 
3.0%
화 5
 
3.0%
예 5
 
3.0%
문 5
 
3.0%
원 4
 
2.4%
연 4
 
2.4%
악 4
 
2.4%
Other values (85) 111
66.1%
Latin
ValueCountFrequency (%)
k 1
14.3%
B 1
14.3%
T 1
14.3%
s 1
14.3%
t 1
14.3%
i 1
14.3%
c 1
14.3%
Common
ValueCountFrequency (%)
20
55.6%
) 13
36.1%
( 2
 
5.6%
& 1
 
2.8%
Han
ValueCountFrequency (%)
打 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 168
79.2%
ASCII 43
 
20.3%
CJK 1
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20
46.5%
) 13
30.2%
( 2
 
4.7%
k 1
 
2.3%
B 1
 
2.3%
& 1
 
2.3%
T 1
 
2.3%
s 1
 
2.3%
t 1
 
2.3%
i 1
 
2.3%
Hangul
ValueCountFrequency (%)
사 13
 
7.7%
단 6
 
3.6%
전 6
 
3.6%
회 5
 
3.0%
화 5
 
3.0%
예 5
 
3.0%
문 5
 
3.0%
원 4
 
2.4%
연 4
 
2.4%
악 4
 
2.4%
Other values (85) 111
66.1%
CJK
ValueCountFrequency (%)
打 1
100.0%

성명(대표자)
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-03-14T11:23:29.218952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9545455
Min length2

Characters and Unicode

Total characters65
Distinct characters41
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row김영구
2nd row이종례
3rd row최기춘
4th row김진형
5th row양진환
ValueCountFrequency (%)
김영구 1
 
4.5%
이종례 1
 
4.5%
정기주 1
 
4.5%
이은희 1
 
4.5%
김선식 1
 
4.5%
박승환 1
 
4.5%
이한수 1
 
4.5%
유광찬 1
 
4.5%
김한 1
 
4.5%
전춘근 1
 
4.5%
Other values (12) 12
54.5%
2024-03-14T11:23:29.479837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 7
 
10.8%
진 4
 
6.2%
이 3
 
4.6%
성 3
 
4.6%
재 2
 
3.1%
종 2
 
3.1%
한 2
 
3.1%
최 2
 
3.1%
기 2
 
3.1%
춘 2
 
3.1%
Other values (31) 36
55.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 65
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 7
 
10.8%
진 4
 
6.2%
이 3
 
4.6%
성 3
 
4.6%
재 2
 
3.1%
종 2
 
3.1%
한 2
 
3.1%
최 2
 
3.1%
기 2
 
3.1%
춘 2
 
3.1%
Other values (31) 36
55.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 65
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 7
 
10.8%
진 4
 
6.2%
이 3
 
4.6%
성 3
 
4.6%
재 2
 
3.1%
종 2
 
3.1%
한 2
 
3.1%
최 2
 
3.1%
기 2
 
3.1%
춘 2
 
3.1%
Other values (31) 36
55.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 65
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 7
 
10.8%
진 4
 
6.2%
이 3
 
4.6%
성 3
 
4.6%
재 2
 
3.1%
종 2
 
3.1%
한 2
 
3.1%
최 2
 
3.1%
기 2
 
3.1%
춘 2
 
3.1%
Other values (31) 36
55.4%

소재지
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-03-14T11:23:29.666624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length30
Mean length23.545455
Min length15

Characters and Unicode

Total characters518
Distinct characters94
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

Unique22 ?
Unique (%)100.0%

Sample

1st row전주시 완산구 서노송동 568-134 성지빌딩 5층
2nd row전주시 완산구 중앙동 1가 55-3번지
3rd row전주시 완산구 현무3길 77-15, 4층 (경원동 3가)
4th row전주시 완산구 경원동 1가 111-9
5th row전주시 완산구 은행로 34(풍남동3가)
ValueCountFrequency (%)
전주시 19
 
17.3%
완산구 17
 
15.5%
경원동 4
 
3.6%
1가 4
 
3.6%
용머리로 2
 
1.8%
2가 2
 
1.8%
1길 2
 
1.8%
덕진구 2
 
1.8%
28-4(평화동 1
 
0.9%
평동로 1
 
0.9%
Other values (56) 56
50.9%
2024-03-14T11:23:30.074441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
88
 
17.0%
1 23
 
4.4%
주 22
 
4.2%
전 21
 
4.1%
산 21
 
4.1%
시 20
 
3.9%
구 20
 
3.9%
동 20
 
3.9%
완 19
 
3.7%
2 19
 
3.7%
Other values (84) 245
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 291
56.2%
Decimal Number 99
 
19.1%
Space Separator 88
 
17.0%
Close Punctuation 13
 
2.5%
Open Punctuation 13
 
2.5%
Dash Punctuation 11
 
2.1%
Other Punctuation 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 22
 
7.6%
전 21
 
7.2%
산 21
 
7.2%
시 20
 
6.9%
구 20
 
6.9%
동 20
 
6.9%
완 19
 
6.5%
가 14
 
4.8%
로 10
 
3.4%
길 6
 
2.1%
Other values (69) 118
40.5%
Decimal Number
ValueCountFrequency (%)
1 23
23.2%
2 19
19.2%
3 17
17.2%
4 12
12.1%
7 6
 
6.1%
5 6
 
6.1%
0 5
 
5.1%
6 4
 
4.0%
8 4
 
4.0%
9 3
 
3.0%
Space Separator
ValueCountFrequency (%)
88
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 291
56.2%
Common 227
43.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 22
 
7.6%
전 21
 
7.2%
산 21
 
7.2%
시 20
 
6.9%
구 20
 
6.9%
동 20
 
6.9%
완 19
 
6.5%
가 14
 
4.8%
로 10
 
3.4%
길 6
 
2.1%
Other values (69) 118
40.5%
Common
ValueCountFrequency (%)
88
38.8%
1 23
 
10.1%
2 19
 
8.4%
3 17
 
7.5%
) 13
 
5.7%
( 13
 
5.7%
4 12
 
5.3%
- 11
 
4.8%
7 6
 
2.6%
5 6
 
2.6%
Other values (5) 19
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 291
56.2%
ASCII 227
43.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
88
38.8%
1 23
 
10.1%
2 19
 
8.4%
3 17
 
7.5%
) 13
 
5.7%
( 13
 
5.7%
4 12
 
5.3%
- 11
 
4.8%
7 6
 
2.6%
5 6
 
2.6%
Other values (5) 19
 
8.4%
Hangul
ValueCountFrequency (%)
주 22
 
7.6%
전 21
 
7.2%
산 21
 
7.2%
시 20
 
6.9%
구 20
 
6.9%
동 20
 
6.9%
완 19
 
6.5%
가 14
 
4.8%
로 10
 
3.4%
길 6
 
2.1%
Other values (69) 118
40.5%

변경내용및변경일자
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing21
Missing (%)95.5%
Memory size308.0 B
2024-03-14T11:23:30.219177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters9
Distinct characters9
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row‘12년 법인전환
ValueCountFrequency (%)
‘12년 1
50.0%
법인전환 1
50.0%
2024-03-14T11:23:30.433981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
‘ 1
11.1%
1 1
11.1%
2 1
11.1%
년 1
11.1%
1
11.1%
법 1
11.1%
인 1
11.1%
전 1
11.1%
환 1
11.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5
55.6%
Decimal Number 2
 
22.2%
Initial Punctuation 1
 
11.1%
Space Separator 1
 
11.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
년 1
20.0%
법 1
20.0%
인 1
20.0%
전 1
20.0%
환 1
20.0%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5
55.6%
Common 4
44.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
년 1
20.0%
법 1
20.0%
인 1
20.0%
전 1
20.0%
환 1
20.0%
Common
ValueCountFrequency (%)
‘ 1
25.0%
1 1
25.0%
2 1
25.0%
1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5
55.6%
ASCII 3
33.3%
Punctuation 1
 
11.1%

Most frequent character per block

Punctuation
ValueCountFrequency (%)
‘ 1
100.0%
ASCII
ValueCountFrequency (%)
1 1
33.3%
2 1
33.3%
1
33.3%
Hangul
ValueCountFrequency (%)
년 1
20.0%
법 1
20.0%
인 1
20.0%
전 1
20.0%
환 1
20.0%

Interactions

2024-03-14T11:23:27.196800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T11:23:27.043471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T11:23:27.264038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T11:23:27.116938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T11:23:30.515127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번호지정번호지정형태유형법인명(단체)성명(대표자)소재지
연번호1.0000.8900.0000.7801.0001.0001.000
지정번호0.8901.0000.4490.7701.0001.0001.000
지정형태0.0000.4491.0000.0001.0001.0001.000
유형0.7800.7700.0001.0001.0001.0001.000
법인명(단체)1.0001.0001.0001.0001.0001.0001.000
성명(대표자)1.0001.0001.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0001.0001.000
2024-03-14T11:23:30.621206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번호지정번호지정형태
연번호1.0001.0000.000
지정번호1.0001.0000.342
지정형태0.0000.3421.000

Missing values

2024-03-14T11:23:27.361443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T11:23:27.461951image/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

연번호지정번호지정형태유형법인명(단체)성명(대표자)소재지변경내용및변경일자
011전문예술법인오페라단사)호남 오페라단김영구전주시 완산구 서노송동 568-134 성지빌딩 5층<NA>
122전문예술법인종합예술단사)예술기획 예루이종례전주시 완산구 중앙동 1가 55-3번지<NA>
235전문예술법인전통예술단사)전통예술원 모악최기춘전주시 완산구 현무3길 77-15, 4층 (경원동 3가)‘12년 법인전환
346전문예술법인전통예술단사)전통문화 마을김진형전주시 완산구 경원동 1가 111-9<NA>
4511전문예술단체전통예술단예술단 판 打 stick양진환전주시 완산구 은행로 34(풍남동3가)<NA>
5612전문예술법인연극단사)공연문화발전소 명태최경성전주시 완산구 전주객사4길 74-11(고사동)<NA>
6714전문예술법인국악공연단사)타악연희원 아퀴박종대전주시 완산구 중화산동 1가 219-14<NA>
7816전문예술단체연극단창작극회홍석찬전주시 완산구 경원동 1가 10-2<NA>
8917전문예술법인전통예술단사)온고을 소리청김영자전주시 완산구 한지길 92(풍남동3가)<NA>
91019전문예술단체전통예술단문화포럼 나니레김성훈전주시 완산구 기린대로 128(남노송동)<NA>
연번호지정번호지정형태유형법인명(단체)성명(대표자)소재지변경내용및변경일자
121325전문예술단체필봉농악단임실필봉 농악보존회양진성임실군 강진면 필봉리 234<NA>
131426전문예술단체연극단극단 까치동전춘근전주시 완산구 경원동 2가 24-6<NA>
141527전문예술법인전통예술사)전주세계소리축제조직위원회김한전주시 덕진구 소리로 31(덕진동1가)<NA>
151628전문예술법인문화단체(재)전주문화재단유광찬전주시 완산구 권삼득로 76(서노송동)<NA>
161729전문예술법인문화단체(재)익산문화재단이한수익산시 평동로 1길 28-4(평화동)<NA>
171830전문예술법인사진사)현대사진 미디어 연구소박승환전주시 완산구 천잠로 303 전주대학교 예술관 별관 306호<NA>
181931전문예술단체음악팝페라 T&B김선식전주시 완산구 따박골 1길 3, 2층 (중화산동2가)<NA>
192032전문예술단체음악뮤직씨어터 슈바빙이은희완주군 용진면 구억명덕로 343-28<NA>
202133전문예술단체음악프로인데 성악 연구회정기주전주시 완산구 용머리로 73(효자동1가)<NA>
212234전문예술법인음악사단법인 드림필김재원전주시 완산구 용머리로 203, 2층(서완산동 2가)<NA>