Overview

Dataset statistics

Number of variables9
Number of observations25
Missing cells24
Missing cells (%)10.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory79.3 B

Variable types

Numeric2
Categorical1
Text6

Dataset

Description전라북도 지정된 전문 예술법인.단체 정보(지정형태, 유형, 법인명, 성명, 소재지, 회원수, 목적사업, 변경내용 및 변경일자 등)
Author전라북도
URLhttps://www.data.go.kr/data/3081251/fileData.do

Alerts

변경내용 및 변경일자 has constant value ""Constant
변경내용 및 변경일자 has 24 (96.0%) missing valuesMissing
연번 has unique valuesUnique
법 인 명 has unique valuesUnique
성 명 has unique valuesUnique
목적사업 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:37:51.677094
Analysis finished2023-12-12 21:37:52.707984
Duration1.03 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13
Minimum1
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:37:52.784394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.2
Q17
median13
Q319
95-th percentile23.8
Maximum25
Range24
Interquartile range (IQR)12

Descriptive statistics

Standard deviation7.3598007
Coefficient of variation (CV)0.56613852
Kurtosis-1.2
Mean13
Median Absolute Deviation (MAD)6
Skewness0
Sum325
Variance54.166667
MonotonicityStrictly increasing
2023-12-13T06:37:52.933719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 1
 
4.0%
2 1
 
4.0%
25 1
 
4.0%
24 1
 
4.0%
23 1
 
4.0%
22 1
 
4.0%
21 1
 
4.0%
20 1
 
4.0%
19 1
 
4.0%
18 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
1 1
4.0%
2 1
4.0%
3 1
4.0%
4 1
4.0%
5 1
4.0%
6 1
4.0%
7 1
4.0%
8 1
4.0%
9 1
4.0%
10 1
4.0%
ValueCountFrequency (%)
25 1
4.0%
24 1
4.0%
23 1
4.0%
22 1
4.0%
21 1
4.0%
20 1
4.0%
19 1
4.0%
18 1
4.0%
17 1
4.0%
16 1
4.0%

지정형태
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
전문예술법인
14 
전문예술단체
11 

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
56.0%
전문예술단체 11
44.0%

Length

2023-12-13T06:37:53.082987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:37:53.206329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전문예술법인 14
56.0%
전문예술단체 11
44.0%

유 형
Text

Distinct14
Distinct (%)56.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-13T06:37:53.354467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.52
Min length2

Characters and Unicode

Total characters88
Distinct characters30
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

Unique10 ?
Unique (%)40.0%

Sample

1st row오페라단
2nd row종합예술단
3rd row전통예술단
4th row전통예술단
5th row전통예술단
ValueCountFrequency (%)
전통예술단 5
20.0%
연극단 4
16.0%
음악 4
16.0%
문화단체 2
 
8.0%
오페라단 1
 
4.0%
종합예술단 1
 
4.0%
국악공연단 1
 
4.0%
서예전시 1
 
4.0%
필봉농악단 1
 
4.0%
전통예술 1
 
4.0%
Other values (4) 4
16.0%
2023-12-13T06:37:53.721982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
단 15
17.0%
예 8
 
9.1%
전 7
 
8.0%
술 7
 
8.0%
악 7
 
8.0%
통 6
 
6.8%
연 5
 
5.7%
극 4
 
4.5%
음 4
 
4.5%
체 2
 
2.3%
Other values (20) 23
26.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 88
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
단 15
17.0%
예 8
 
9.1%
전 7
 
8.0%
술 7
 
8.0%
악 7
 
8.0%
통 6
 
6.8%
연 5
 
5.7%
극 4
 
4.5%
음 4
 
4.5%
체 2
 
2.3%
Other values (20) 23
26.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 88
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
단 15
17.0%
예 8
 
9.1%
전 7
 
8.0%
술 7
 
8.0%
악 7
 
8.0%
통 6
 
6.8%
연 5
 
5.7%
극 4
 
4.5%
음 4
 
4.5%
체 2
 
2.3%
Other values (20) 23
26.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 88
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
단 15
17.0%
예 8
 
9.1%
전 7
 
8.0%
술 7
 
8.0%
악 7
 
8.0%
통 6
 
6.8%
연 5
 
5.7%
극 4
 
4.5%
음 4
 
4.5%
체 2
 
2.3%
Other values (20) 23
26.1%

법 인 명
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-13T06:37:54.007205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length9.6
Min length4

Characters and Unicode

Total characters240
Distinct characters113
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

Unique25 ?
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 (%)
문화재단 2
 
4.1%
사)호남 1
 
2.0%
오페라단 1
 
2.0%
사)전주세계소리축제조직위원회 1
 
2.0%
재)전주 1
 
2.0%
재)익산 1
 
2.0%
사)현대사진 1
 
2.0%
미디어 1
 
2.0%
연구소 1
 
2.0%
팝페라 1
 
2.0%
Other values (38) 38
77.6%
2023-12-13T06:37:54.566757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25
 
10.4%
사 14
 
5.8%
) 14
 
5.8%
전 7
 
2.9%
단 7
 
2.9%
예 7
 
2.9%
회 5
 
2.1%
연 5
 
2.1%
화 5
 
2.1%
문 5
 
2.1%
Other values (103) 146
60.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 190
79.2%
Space Separator 25
 
10.4%
Close Punctuation 14
 
5.8%
Lowercase Letter 5
 
2.1%
Open Punctuation 3
 
1.2%
Uppercase Letter 2
 
0.8%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 14
 
7.4%
전 7
 
3.7%
단 7
 
3.7%
예 7
 
3.7%
회 5
 
2.6%
연 5
 
2.6%
화 5
 
2.6%
문 5
 
2.6%
소 4
 
2.1%
원 4
 
2.1%
Other values (92) 127
66.8%
Lowercase Letter
ValueCountFrequency (%)
t 1
20.0%
i 1
20.0%
c 1
20.0%
k 1
20.0%
s 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
T 1
50.0%
Space Separator
ValueCountFrequency (%)
25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 189
78.8%
Common 43
 
17.9%
Latin 7
 
2.9%
Han 1
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 14
 
7.4%
전 7
 
3.7%
단 7
 
3.7%
예 7
 
3.7%
회 5
 
2.6%
연 5
 
2.6%
화 5
 
2.6%
문 5
 
2.6%
소 4
 
2.1%
원 4
 
2.1%
Other values (91) 126
66.7%
Latin
ValueCountFrequency (%)
B 1
14.3%
T 1
14.3%
t 1
14.3%
i 1
14.3%
c 1
14.3%
k 1
14.3%
s 1
14.3%
Common
ValueCountFrequency (%)
25
58.1%
) 14
32.6%
( 3
 
7.0%
& 1
 
2.3%
Han
ValueCountFrequency (%)
打 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 189
78.8%
ASCII 50
 
20.8%
CJK 1
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25
50.0%
) 14
28.0%
( 3
 
6.0%
B 1
 
2.0%
& 1
 
2.0%
T 1
 
2.0%
t 1
 
2.0%
i 1
 
2.0%
c 1
 
2.0%
k 1
 
2.0%
Hangul
ValueCountFrequency (%)
사 14
 
7.4%
전 7
 
3.7%
단 7
 
3.7%
예 7
 
3.7%
회 5
 
2.6%
연 5
 
2.6%
화 5
 
2.6%
문 5
 
2.6%
소 4
 
2.1%
원 4
 
2.1%
Other values (91) 126
66.7%
CJK
ValueCountFrequency (%)
打 1
100.0%

성 명
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-13T06:37:54.816352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.96
Min length2

Characters and Unicode

Total characters74
Distinct characters35
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

Unique25 ?
Unique (%)100.0%

Sample

1st row강*규
2nd row이*례
3rd row최*춘
4th row김*형
5th row양*환
ValueCountFrequency (%)
강*규 1
 
4.0%
전*근 1
 
4.0%
이*열 1
 
4.0%
선*현 1
 
4.0%
김*원 1
 
4.0%
정*주 1
 
4.0%
이*희 1
 
4.0%
김*식 1
 
4.0%
박*환 1
 
4.0%
박*철 1
 
4.0%
Other values (15) 15
60.0%
2023-12-13T06:37:55.159930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 25
33.8%
김 6
 
8.1%
이 4
 
5.4%
박 3
 
4.1%
성 2
 
2.7%
규 2
 
2.7%
최 2
 
2.7%
양 2
 
2.7%
환 2
 
2.7%
주 1
 
1.4%
Other values (25) 25
33.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 49
66.2%
Other Punctuation 25
33.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 6
 
12.2%
이 4
 
8.2%
박 3
 
6.1%
성 2
 
4.1%
규 2
 
4.1%
최 2
 
4.1%
양 2
 
4.1%
환 2
 
4.1%
주 1
 
2.0%
철 1
 
2.0%
Other values (24) 24
49.0%
Other Punctuation
ValueCountFrequency (%)
* 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 49
66.2%
Common 25
33.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 6
 
12.2%
이 4
 
8.2%
박 3
 
6.1%
성 2
 
4.1%
규 2
 
4.1%
최 2
 
4.1%
양 2
 
4.1%
환 2
 
4.1%
주 1
 
2.0%
철 1
 
2.0%
Other values (24) 24
49.0%
Common
ValueCountFrequency (%)
* 25
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 49
66.2%
ASCII 25
33.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 25
100.0%
Hangul
ValueCountFrequency (%)
김 6
 
12.2%
이 4
 
8.2%
박 3
 
6.1%
성 2
 
4.1%
규 2
 
4.1%
최 2
 
4.1%
양 2
 
4.1%
환 2
 
4.1%
주 1
 
2.0%
철 1
 
2.0%
Other values (24) 24
49.0%

소 재 지
Text

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-13T06:37:55.429859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length29
Mean length21.68
Min length14

Characters and Unicode

Total characters542
Distinct characters95
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

Unique23 ?
Unique (%)92.0%

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 동문길 115-5
5th row전주시 완산구 동문길 115-5
ValueCountFrequency (%)
전주시 21
 
17.6%
완산구 17
 
14.3%
덕진구 3
 
2.5%
2가 3
 
2.5%
동문길 3
 
2.5%
용머리로 2
 
1.7%
1길 2
 
1.7%
경원동 2
 
1.7%
소리로 2
 
1.7%
115-5 2
 
1.7%
Other values (62) 62
52.1%
2023-12-13T06:37:55.901142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
95
 
17.5%
주 25
 
4.6%
전 24
 
4.4%
시 22
 
4.1%
구 21
 
3.9%
1 21
 
3.9%
산 21
 
3.9%
동 19
 
3.5%
완 19
 
3.5%
2 19
 
3.5%
Other values (85) 256
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 307
56.6%
Decimal Number 104
 
19.2%
Space Separator 95
 
17.5%
Dash Punctuation 11
 
2.0%
Close Punctuation 11
 
2.0%
Open Punctuation 11
 
2.0%
Other Punctuation 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 25
 
8.1%
전 24
 
7.8%
시 22
 
7.2%
구 21
 
6.8%
산 21
 
6.8%
동 19
 
6.2%
완 19
 
6.2%
길 11
 
3.6%
가 11
 
3.6%
로 10
 
3.3%
Other values (70) 124
40.4%
Decimal Number
ValueCountFrequency (%)
1 21
20.2%
2 19
18.3%
3 16
15.4%
5 12
11.5%
4 11
10.6%
7 7
 
6.7%
0 6
 
5.8%
6 5
 
4.8%
8 5
 
4.8%
9 2
 
1.9%
Space Separator
ValueCountFrequency (%)
95
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 307
56.6%
Common 235
43.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 25
 
8.1%
전 24
 
7.8%
시 22
 
7.2%
구 21
 
6.8%
산 21
 
6.8%
동 19
 
6.2%
완 19
 
6.2%
길 11
 
3.6%
가 11
 
3.6%
로 10
 
3.3%
Other values (70) 124
40.4%
Common
ValueCountFrequency (%)
95
40.4%
1 21
 
8.9%
2 19
 
8.1%
3 16
 
6.8%
5 12
 
5.1%
- 11
 
4.7%
) 11
 
4.7%
4 11
 
4.7%
( 11
 
4.7%
7 7
 
3.0%
Other values (5) 21
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 307
56.6%
ASCII 235
43.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
95
40.4%
1 21
 
8.9%
2 19
 
8.1%
3 16
 
6.8%
5 12
 
5.1%
- 11
 
4.7%
) 11
 
4.7%
4 11
 
4.7%
( 11
 
4.7%
7 7
 
3.0%
Other values (5) 21
 
8.9%
Hangul
ValueCountFrequency (%)
주 25
 
8.1%
전 24
 
7.8%
시 22
 
7.2%
구 21
 
6.8%
산 21
 
6.8%
동 19
 
6.2%
완 19
 
6.2%
길 11
 
3.6%
가 11
 
3.6%
로 10
 
3.3%
Other values (70) 124
40.4%

회원수
Real number (ℝ)

Distinct21
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean463.88
Minimum11
Maximum10000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:37:56.090570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile12
Q120
median62
Q3105
95-th percentile190.8
Maximum10000
Range9989
Interquartile range (IQR)85

Descriptive statistics

Standard deviation1987.3713
Coefficient of variation (CV)4.2842357
Kurtosis24.961351
Mean463.88
Median Absolute Deviation (MAD)43
Skewness4.9944419
Sum11597
Variance3949644.5
MonotonicityNot monotonic
2023-12-13T06:37:56.238052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
15 2
 
8.0%
40 2
 
8.0%
111 2
 
8.0%
12 2
 
8.0%
200 1
 
4.0%
100 1
 
4.0%
10000 1
 
4.0%
45 1
 
4.0%
62 1
 
4.0%
11 1
 
4.0%
Other values (11) 11
44.0%
ValueCountFrequency (%)
11 1
4.0%
12 2
8.0%
14 1
4.0%
15 2
8.0%
20 1
4.0%
24 1
4.0%
25 1
4.0%
40 2
8.0%
45 1
4.0%
62 1
4.0%
ValueCountFrequency (%)
10000 1
4.0%
200 1
4.0%
154 1
4.0%
145 1
4.0%
111 2
8.0%
105 1
4.0%
102 1
4.0%
100 1
4.0%
92 1
4.0%
72 1
4.0%

목적사업
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-13T06:37:56.497679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length27
Mean length22.52
Min length9

Characters and Unicode

Total characters563
Distinct characters138
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row오페라를 통한 한국음악의 세계화, 지역 문화의 세계화
2nd row지역 사회의 문화, 예술 향상과 지역 간의 문화교류
3rd row공연활동, 전통예술분야 의 교육, 체험 진행,
4th row전통문화 전승 및 보급사업
5th row전통문화예술 보급 및 창작작품 공연
ValueCountFrequency (%)
및 9
 
6.6%
지역 4
 
2.9%
통해 3
 
2.2%
연극 3
 
2.2%
다양한 3
 
2.2%
보급 3
 
2.2%
보존 2
 
1.5%
전승 2
 
1.5%
확대 2
 
1.5%
등 2
 
1.5%
Other values (98) 104
75.9%
2023-12-13T06:37:56.990325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
113
 
20.1%
화 23
 
4.1%
문 19
 
3.4%
전 16
 
2.8%
예 15
 
2.7%
, 15
 
2.7%
술 14
 
2.5%
의 12
 
2.1%
연 11
 
2.0%
통 10
 
1.8%
Other values (128) 315
56.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 433
76.9%
Space Separator 113
 
20.1%
Other Punctuation 15
 
2.7%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
화 23
 
5.3%
문 19
 
4.4%
전 16
 
3.7%
예 15
 
3.5%
술 14
 
3.2%
의 12
 
2.8%
연 11
 
2.5%
통 10
 
2.3%
공 9
 
2.1%
지 9
 
2.1%
Other values (124) 295
68.1%
Space Separator
ValueCountFrequency (%)
113
100.0%
Other Punctuation
ValueCountFrequency (%)
, 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 433
76.9%
Common 130
 
23.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
화 23
 
5.3%
문 19
 
4.4%
전 16
 
3.7%
예 15
 
3.5%
술 14
 
3.2%
의 12
 
2.8%
연 11
 
2.5%
통 10
 
2.3%
공 9
 
2.1%
지 9
 
2.1%
Other values (124) 295
68.1%
Common
ValueCountFrequency (%)
113
86.9%
, 15
 
11.5%
) 1
 
0.8%
( 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 433
76.9%
ASCII 130
 
23.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
113
86.9%
, 15
 
11.5%
) 1
 
0.8%
( 1
 
0.8%
Hangul
ValueCountFrequency (%)
화 23
 
5.3%
문 19
 
4.4%
전 16
 
3.7%
예 15
 
3.5%
술 14
 
3.2%
의 12
 
2.8%
연 11
 
2.5%
통 10
 
2.3%
공 9
 
2.1%
지 9
 
2.1%
Other values (124) 295
68.1%

변경내용 및 변경일자
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing24
Missing (%)96.0%
Memory size332.0 B
2023-12-13T06:37:57.132778image/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%
2023-12-13T06:37:57.383259image/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

2023-12-13T06:37:52.293798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:37:52.124915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:37:52.382272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:37:52.207293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:37:57.483478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번지정형태유 형법 인 명성 명소 재 지회원수목적사업
연번1.0000.4360.8081.0001.0001.0000.0001.000
지정형태0.4361.0000.0611.0001.0000.0000.0001.000
유 형0.8080.0611.0001.0001.0001.0001.0001.000
법 인 명1.0001.0001.0001.0001.0001.0001.0001.000
성 명1.0001.0001.0001.0001.0001.0001.0001.000
소 재 지1.0000.0001.0001.0001.0001.0001.0001.000
회원수0.0000.0001.0001.0001.0001.0001.0001.000
목적사업1.0001.0001.0001.0001.0001.0001.0001.000
2023-12-13T06:37:57.605220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번회원수지정형태
연번1.000-0.3740.000
회원수-0.3741.0000.000
지정형태0.0000.0001.000

Missing values

2023-12-13T06:37:52.493379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:37:52.648791image/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

연번지정형태유 형법 인 명성 명소 재 지회원수목적사업변경내용 및 변경일자
01전문예술법인오페라단사)호남 오페라단강*규전주시 완산구 서노송동 568-134 성지빌딩 5층200오페라를 통한 한국음악의 세계화, 지역 문화의 세계화<NA>
12전문예술법인종합예술단사)예술기획 예루이*례전주시 완산구 중앙동 1가 55-3번지154지역 사회의 문화, 예술 향상과 지역 간의 문화교류<NA>
23전문예술법인전통예술단사)전통예술원 모악최*춘전주시 완산구 현무3길 77-15, 4층 (경원동 3가)72공연활동, 전통예술분야 의 교육, 체험 진행,‘12년 법인전환
34전문예술법인전통예술단사)전통문화 마을김*형전주시 완산구 동문길 115-540전통문화 전승 및 보급사업<NA>
45전문예술단체전통예술단예술단 판 打 stick양*환전주시 완산구 동문길 115-540전통문화예술 보급 및 창작작품 공연<NA>
56전문예술법인연극단사)공연문화발전소 명태최*성전주시 완산구 전주객사4길 74-11(고사동)145다양한 공연예술 문화 프로그램 개발 및 대안문화 창조<NA>
67전문예술법인국악공연단사)타악연희원 아퀴박*대전주시 완산구 선너머 4길 2870전통예술을 근간으로 하여 현대적인 창작활동 및 지속적인 교육사업 등<NA>
78전문예술단체연극단창작극회홍*찬전주시 완산구 동문길 100105연극 공연과 교육프로그램, 축제의 조명음향시스템 지원사업, 관련 캐릭터<NA>
89전문예술법인전통예술단사)온고을 소리청김*자전주시 완산구 한지길 92(풍남동3가)102전통문화예술(판소리, 창극, 단막극, 국악 실내악 등)의 보존, 전승,창작, 보급<NA>
910전문예술단체전통예술단문화포럼 나니레김*훈전주시 완산구 전주객사2길 48111다양한 공연서비스 지원<NA>
연번지정형태유 형법 인 명성 명소 재 지회원수목적사업변경내용 및 변경일자
1516전문예술법인문화단체(재)전주 문화재단이*숙전주시 완산구 권삼득로 76(서노송동)12전주시 문화예술진흥<NA>
1617전문예술법인문화단체(재)익산 문화재단박*철익산시 평동로 1길 28-4(평화동)14익산시 문화예술진흥<NA>
1718전문예술법인사진사)현대사진 미디어 연구소박*환전주시 완산구 천잠로 303 전주대학교 예술관 별관 306호111전주포토페스티벌 개최<NA>
1819전문예술단체음악팝페라 T&B김*식전주시 완산구 따박골 1길 3, 2층 (중화산동2가)11클레식 음악 연주<NA>
1920전문예술단체음악뮤직씨어터 슈바빙이*희완주군 용진면 구억명덕로 343-2862다양한 예술활동을 통해 고급문화의 대중화 및 생활문화 저변확대<NA>
2021전문예술단체음악프로인데 성악 연구회정*주전주시 완산구 용머리로 73(효자동1가)12문화예술향유 확대를 위한 음악활동<NA>
2122전문예술법인음악사단법인 드림필김*원전주시 용머리로 203, 2층(서완산동 2가)45전북지역 음악공연문화 활성화<NA>
2223전문예술단체기타(사)한국예총 전라북도연합회선*현전주시 덕진구 소리로 3110000향토예술의 창달로 예술문화 발전에 기여<NA>
2324전문예술단체국악국악예술단 고창이*열고창군 고창읍 읍내리 456-1100지역 고유문화의 개발, 보급 보존, 전승 및 선향<NA>
2425전문예술단체무용포스댄스 컴퍼니오*룡전주시 완산구 중화산동 2가 596-1315복합적인 예술활동을 통해 문화적 공공성 확대<NA>