Overview

Dataset statistics

Number of variables8
Number of observations144
Missing cells5
Missing cells (%)0.4%
Duplicate rows1
Duplicate rows (%)0.7%
Total size in memory9.6 KiB
Average record size in memory67.9 B

Variable types

Numeric2
Text3
Categorical3

Dataset

Description- 제주도 내 문화 예술 법인의 법인명, 주소 등의 정보를 제공합니다. - 데이터 제공처: LOCALDATA
Author제주특별자치도 미래성장과
URLhttps://www.jejudatahub.net/data/view/data/1019

Alerts

영업상태명 has constant value ""Constant
데이터 기준일 has constant value ""Constant
Dataset has 1 (0.7%) duplicate rowsDuplicates
인허가일자 is highly overall correlated with 데이터갱신일자High correlation
데이터갱신일자 is highly overall correlated with 인허가일자High correlation
소재지 도로명 주소 has 5 (3.5%) missing valuesMissing

Reproduction

Analysis started2023-12-11 20:10:44.441256
Analysis finished2023-12-11 20:10:45.600566
Duration1.16 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

인허가일자
Real number (ℝ)

HIGH CORRELATION 

Distinct135
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20115444
Minimum19660704
Maximum20211005
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T05:10:45.930456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19660704
5-th percentile20010477
Q120080518
median20125522
Q320173236
95-th percentile20201076
Maximum20211005
Range550301
Interquartile range (IQR)92717.75

Descriptive statistics

Standard deviation86323.601
Coefficient of variation (CV)0.0042914093
Kurtosis11.99908
Mean20115444
Median Absolute Deviation (MAD)45162.5
Skewness-2.7770072
Sum2.8966239 × 109
Variance7.4517642 × 109
MonotonicityNot monotonic
2023-12-12T05:10:46.084769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20080508 2
 
1.4%
20180601 2
 
1.4%
20100726 2
 
1.4%
20090113 2
 
1.4%
20081204 2
 
1.4%
20140421 2
 
1.4%
20060707 2
 
1.4%
20140923 2
 
1.4%
20191007 2
 
1.4%
20170213 1
 
0.7%
Other values (125) 125
86.8%
ValueCountFrequency (%)
19660704 1
0.7%
19660722 1
0.7%
19720615 1
0.7%
19940406 1
0.7%
19941206 1
0.7%
19960507 1
0.7%
20001230 1
0.7%
20010402 1
0.7%
20010904 1
0.7%
20020122 1
0.7%
ValueCountFrequency (%)
20211005 1
0.7%
20210902 1
0.7%
20210826 1
0.7%
20210823 1
0.7%
20210811 1
0.7%
20210528 1
0.7%
20201204 1
0.7%
20201104 1
0.7%
20200914 1
0.7%
20200731 1
0.7%
Distinct142
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T05:10:46.380057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length18
Mean length12.208333
Min length5

Characters and Unicode

Total characters1758
Distinct characters238
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique140 ?
Unique (%)97.2%

Sample

1st row재단법인 제주영상문화산업진흥원
2nd row사단법인 제주빌레앙상블
3rd row사단법인 제주특별자치도 시낭송 협회
4th row사단법인 사운드브릿지
5th row사단법인 사람과사람들
ValueCountFrequency (%)
사단법인 69
27.5%
재단법인 15
 
6.0%
제주특별자치도 4
 
1.6%
제주 3
 
1.2%
2
 
0.8%
제주마을문화진흥원 2
 
0.8%
봉려관불교문화연구원 2
 
0.8%
사)제주특별자치도 2
 
0.8%
사)제주국제합창제 1
 
0.4%
음악학회 1
 
0.4%
Other values (150) 150
59.8%
2023-12-12T05:10:46.776698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
121
 
6.9%
107
 
6.1%
104
 
5.9%
95
 
5.4%
93
 
5.3%
82
 
4.7%
69
 
3.9%
66
 
3.8%
50
 
2.8%
44
 
2.5%
Other values (228) 927
52.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1574
89.5%
Space Separator 107
 
6.1%
Close Punctuation 36
 
2.0%
Open Punctuation 35
 
2.0%
Uppercase Letter 3
 
0.2%
Other Punctuation 2
 
0.1%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
121
 
7.7%
104
 
6.6%
95
 
6.0%
93
 
5.9%
82
 
5.2%
69
 
4.4%
66
 
4.2%
50
 
3.2%
44
 
2.8%
31
 
2.0%
Other values (220) 819
52.0%
Uppercase Letter
ValueCountFrequency (%)
T 1
33.3%
W 1
33.3%
I 1
33.3%
Space Separator
ValueCountFrequency (%)
107
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1574
89.5%
Common 181
 
10.3%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
121
 
7.7%
104
 
6.6%
95
 
6.0%
93
 
5.9%
82
 
5.2%
69
 
4.4%
66
 
4.2%
50
 
3.2%
44
 
2.8%
31
 
2.0%
Other values (220) 819
52.0%
Common
ValueCountFrequency (%)
107
59.1%
) 36
 
19.9%
( 35
 
19.3%
. 2
 
1.1%
3 1
 
0.6%
Latin
ValueCountFrequency (%)
T 1
33.3%
W 1
33.3%
I 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1574
89.5%
ASCII 184
 
10.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
121
 
7.7%
104
 
6.6%
95
 
6.0%
93
 
5.9%
82
 
5.2%
69
 
4.4%
66
 
4.2%
50
 
3.2%
44
 
2.8%
31
 
2.0%
Other values (220) 819
52.0%
ASCII
ValueCountFrequency (%)
107
58.2%
) 36
 
19.6%
( 35
 
19.0%
. 2
 
1.1%
3 1
 
0.5%
T 1
 
0.5%
W 1
 
0.5%
I 1
 
0.5%

영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
영업/정상
144 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row영업/정상
3rd row영업/정상
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
영업/정상 144
100.0%

Length

2023-12-12T05:10:46.905484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:10:47.000746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 144
100.0%
Distinct138
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T05:10:47.361817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length40
Mean length28.277778
Min length21

Characters and Unicode

Total characters4072
Distinct characters171
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique133 ?
Unique (%)92.4%

Sample

1st row제주특별자치도 제주시 일도이동 837번지 20호
2nd row제주특별자치도 제주시 일도이동 1030번지 10호
3rd row제주특별자치도 제주시 이도이동 76번지 13호
4th row제주특별자치도 제주시 노형동 1284번지 11호
5th row제주특별자치도 제주시 이도이동 1176번지 67호 제주벤처마루 608호
ValueCountFrequency (%)
제주특별자치도 144
 
17.8%
제주시 112
 
13.9%
서귀포시 32
 
4.0%
1호 27
 
3.3%
0호 16
 
2.0%
4호 13
 
1.6%
연동 12
 
1.5%
이도이동 11
 
1.4%
0동 10
 
1.2%
이도일동 10
 
1.2%
Other values (267) 420
52.0%
2023-12-12T05:10:47.879779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
669
 
16.4%
260
 
6.4%
258
 
6.3%
189
 
4.6%
1 168
 
4.1%
149
 
3.7%
146
 
3.6%
145
 
3.6%
144
 
3.5%
144
 
3.5%
Other values (161) 1800
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2676
65.7%
Decimal Number 721
 
17.7%
Space Separator 669
 
16.4%
Uppercase Letter 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
260
 
9.7%
258
 
9.6%
189
 
7.1%
149
 
5.6%
146
 
5.5%
145
 
5.4%
144
 
5.4%
144
 
5.4%
144
 
5.4%
144
 
5.4%
Other values (146) 953
35.6%
Decimal Number
ValueCountFrequency (%)
1 168
23.3%
0 105
14.6%
2 89
12.3%
3 83
11.5%
4 62
 
8.6%
6 57
 
7.9%
7 43
 
6.0%
5 41
 
5.7%
8 40
 
5.5%
9 33
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
C 3
50.0%
B 1
 
16.7%
K 1
 
16.7%
N 1
 
16.7%
Space Separator
ValueCountFrequency (%)
669
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2676
65.7%
Common 1390
34.1%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
260
 
9.7%
258
 
9.6%
189
 
7.1%
149
 
5.6%
146
 
5.5%
145
 
5.4%
144
 
5.4%
144
 
5.4%
144
 
5.4%
144
 
5.4%
Other values (146) 953
35.6%
Common
ValueCountFrequency (%)
669
48.1%
1 168
 
12.1%
0 105
 
7.6%
2 89
 
6.4%
3 83
 
6.0%
4 62
 
4.5%
6 57
 
4.1%
7 43
 
3.1%
5 41
 
2.9%
8 40
 
2.9%
Latin
ValueCountFrequency (%)
C 3
50.0%
B 1
 
16.7%
K 1
 
16.7%
N 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2676
65.7%
ASCII 1396
34.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
669
47.9%
1 168
 
12.0%
0 105
 
7.5%
2 89
 
6.4%
3 83
 
5.9%
4 62
 
4.4%
6 57
 
4.1%
7 43
 
3.1%
5 41
 
2.9%
8 40
 
2.9%
Other values (5) 39
 
2.8%
Hangul
ValueCountFrequency (%)
260
 
9.7%
258
 
9.6%
189
 
7.1%
149
 
5.6%
146
 
5.5%
145
 
5.4%
144
 
5.4%
144
 
5.4%
144
 
5.4%
144
 
5.4%
Other values (146) 953
35.6%
Distinct136
Distinct (%)97.8%
Missing5
Missing (%)3.5%
Memory size1.3 KiB
2023-12-12T05:10:48.271587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length41
Mean length29.741007
Min length23

Characters and Unicode

Total characters4134
Distinct characters194
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

Unique133 ?
Unique (%)95.7%

Sample

1st row제주특별자치도 제주시 신산로 82-0 (일도이동)
2nd row제주특별자치도 제주시 중앙로 491-0, 지하층 (아라이동)
3rd row제주특별자치도 제주시 연신로 87-5 (이도이동)
4th row제주특별자치도 제주시 정존13길 13-0 (노형동)
5th row제주특별자치도 제주시 중앙로 217-0, 608호 (이도이동,제주벤처마루)
ValueCountFrequency (%)
제주특별자치도 139
 
18.6%
제주시 108
 
14.4%
서귀포시 31
 
4.1%
0동 10
 
1.3%
중앙로 9
 
1.2%
애월읍 9
 
1.2%
연동 8
 
1.1%
이도일동 7
 
0.9%
2층 7
 
0.9%
3층 6
 
0.8%
Other values (318) 414
55.3%
2023-12-12T05:10:48.880411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
609
 
14.7%
256
 
6.2%
249
 
6.0%
184
 
4.5%
146
 
3.5%
141
 
3.4%
139
 
3.4%
139
 
3.4%
139
 
3.4%
139
 
3.4%
Other values (184) 1993
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2589
62.6%
Space Separator 609
 
14.7%
Decimal Number 564
 
13.6%
Close Punctuation 111
 
2.7%
Open Punctuation 111
 
2.7%
Dash Punctuation 85
 
2.1%
Other Punctuation 62
 
1.5%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
256
 
9.9%
249
 
9.6%
184
 
7.1%
146
 
5.6%
141
 
5.4%
139
 
5.4%
139
 
5.4%
139
 
5.4%
139
 
5.4%
107
 
4.1%
Other values (166) 950
36.7%
Decimal Number
ValueCountFrequency (%)
1 114
20.2%
0 91
16.1%
2 85
15.1%
4 50
8.9%
3 50
8.9%
5 46
8.2%
6 45
 
8.0%
7 30
 
5.3%
8 29
 
5.1%
9 24
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
K 1
33.3%
N 1
33.3%
C 1
33.3%
Space Separator
ValueCountFrequency (%)
609
100.0%
Close Punctuation
ValueCountFrequency (%)
) 111
100.0%
Open Punctuation
ValueCountFrequency (%)
( 111
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 85
100.0%
Other Punctuation
ValueCountFrequency (%)
, 62
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2589
62.6%
Common 1542
37.3%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
256
 
9.9%
249
 
9.6%
184
 
7.1%
146
 
5.6%
141
 
5.4%
139
 
5.4%
139
 
5.4%
139
 
5.4%
139
 
5.4%
107
 
4.1%
Other values (166) 950
36.7%
Common
ValueCountFrequency (%)
609
39.5%
1 114
 
7.4%
) 111
 
7.2%
( 111
 
7.2%
0 91
 
5.9%
2 85
 
5.5%
- 85
 
5.5%
, 62
 
4.0%
4 50
 
3.2%
3 50
 
3.2%
Other values (5) 174
 
11.3%
Latin
ValueCountFrequency (%)
K 1
33.3%
N 1
33.3%
C 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2589
62.6%
ASCII 1545
37.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
609
39.4%
1 114
 
7.4%
) 111
 
7.2%
( 111
 
7.2%
0 91
 
5.9%
2 85
 
5.5%
- 85
 
5.5%
, 62
 
4.0%
4 50
 
3.2%
3 50
 
3.2%
Other values (8) 177
 
11.5%
Hangul
ValueCountFrequency (%)
256
 
9.9%
249
 
9.6%
184
 
7.1%
146
 
5.6%
141
 
5.4%
139
 
5.4%
139
 
5.4%
139
 
5.4%
139
 
5.4%
107
 
4.1%
Other values (166) 950
36.7%
Distinct12
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
문화(사단)
48 
예술(사단)
29 
종교(사단)
29 
행정(재단)
14 
종교(재단)
10 
Other values (7)
14 

Length

Max length7
Median length6
Mean length6.0625
Min length6

Unique

Unique2 ?
Unique (%)1.4%

Sample

1st row컨텐츠(재단)
2nd row예술(사단)
3rd row문화(사단)
4th row예술(사단)
5th row문화(사단)

Common Values

ValueCountFrequency (%)
문화(사단) 48
33.3%
예술(사단) 29
20.1%
종교(사단) 29
20.1%
행정(재단) 14
 
9.7%
종교(재단) 10
 
6.9%
문화재(사단) 3
 
2.1%
컨텐츠(사단) 3
 
2.1%
문화(재단) 2
 
1.4%
예술(재단) 2
 
1.4%
문화재(재단) 2
 
1.4%
Other values (2) 2
 
1.4%

Length

2023-12-12T05:10:49.022736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
문화(사단 48
33.3%
예술(사단 29
20.1%
종교(사단 29
20.1%
행정(재단 14
 
9.7%
종교(재단 10
 
6.9%
문화재(사단 3
 
2.1%
컨텐츠(사단 3
 
2.1%
문화(재단 2
 
1.4%
예술(재단 2
 
1.4%
문화재(재단 2
 
1.4%
Other values (2) 2
 
1.4%

데이터갱신일자
Real number (ℝ)

HIGH CORRELATION 

Distinct28
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20190021
Minimum20180831
Maximum20211007
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T05:10:49.174171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20180831
5-th percentile20180831
Q120180831
median20190615
Q320190712
95-th percentile20210799
Maximum20211007
Range30176
Interquartile range (IQR)9880.5

Descriptive statistics

Standard deviation10814.868
Coefficient of variation (CV)0.00053565414
Kurtosis-0.360769
Mean20190021
Median Absolute Deviation (MAD)9784
Skewness0.98683617
Sum2.907363 × 109
Variance1.1696138 × 108
MonotonicityNot monotonic
2023-12-12T05:10:49.305178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
20180831 65
45.1%
20190706 27
18.8%
20210209 12
 
8.3%
20190615 12
 
8.3%
20190619 2
 
1.4%
20200205 2
 
1.4%
20191009 2
 
1.4%
20210828 2
 
1.4%
20210722 1
 
0.7%
20210904 1
 
0.7%
Other values (18) 18
 
12.5%
ValueCountFrequency (%)
20180831 65
45.1%
20190615 12
 
8.3%
20190619 2
 
1.4%
20190703 1
 
0.7%
20190706 27
18.8%
20190711 1
 
0.7%
20190713 1
 
0.7%
20190829 1
 
0.7%
20190904 1
 
0.7%
20190928 1
 
0.7%
ValueCountFrequency (%)
20211007 1
0.7%
20210904 1
0.7%
20210902 1
0.7%
20210829 1
0.7%
20210828 2
1.4%
20210825 1
0.7%
20210813 1
0.7%
20210722 1
0.7%
20210629 1
0.7%
20210627 1
0.7%

데이터 기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
20211031
144 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20211031
2nd row20211031
3rd row20211031
4th row20211031
5th row20211031

Common Values

ValueCountFrequency (%)
20211031 144
100.0%

Length

2023-12-12T05:10:49.434834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:10:49.523897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20211031 144
100.0%

Interactions

2023-12-12T05:10:45.194400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:10:44.959408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:10:45.298040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:10:45.076094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T05:10:49.575978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인허가일자문화체육업종명데이터갱신일자
인허가일자1.0000.3620.000
문화체육업종명0.3621.0000.046
데이터갱신일자0.0000.0461.000
2023-12-12T05:10:49.672382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인허가일자데이터갱신일자문화체육업종명
인허가일자1.0000.5710.169
데이터갱신일자0.5711.0000.346
문화체육업종명0.1690.3461.000

Missing values

2023-12-12T05:10:45.421717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T05:10:45.550037image/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

인허가일자법인명영업상태명소재지 지번 주소소재지 도로명 주소문화체육업종명데이터갱신일자데이터 기준일
020180228재단법인 제주영상문화산업진흥원영업/정상제주특별자치도 제주시 일도이동 837번지 20호제주특별자치도 제주시 신산로 82-0 (일도이동)컨텐츠(재단)2019061920211031
120161227사단법인 제주빌레앙상블영업/정상제주특별자치도 제주시 일도이동 1030번지 10호제주특별자치도 제주시 중앙로 491-0, 지하층 (아라이동)예술(사단)2020020520211031
220160404사단법인 제주특별자치도 시낭송 협회영업/정상제주특별자치도 제주시 이도이동 76번지 13호제주특별자치도 제주시 연신로 87-5 (이도이동)문화(사단)2019061520211031
320190225사단법인 사운드브릿지영업/정상제주특별자치도 제주시 노형동 1284번지 11호제주특별자치도 제주시 정존13길 13-0 (노형동)예술(사단)2019061520211031
420190304사단법인 사람과사람들영업/정상제주특별자치도 제주시 이도이동 1176번지 67호 제주벤처마루 608호제주특별자치도 제주시 중앙로 217-0, 608호 (이도이동,제주벤처마루)문화(사단)2019061520211031
520190318사단법인 제주특별자치도작은도서관협회영업/정상제주특별자치도 제주시 노형동 2520번지 16호제주특별자치도 제주시 노형로 351-0, 1층 (노형동)문화(사단)2019061520211031
620161129사단법인 제주어연구소영업/정상제주특별자치도 제주시 영평동 2393번지 0호제주특별자치도 제주시 능산길 6-45 (영평동)문화(사단)2019061520211031
720160728재단법인 성프란치스코평화센터영업/정상제주특별자치도 서귀포시 강정동 4522번지 1호제주특별자치도 서귀포시 말질로 187-0 (강정동)종교(재단)2019070620211031
820190412사단법인 제주화교화인연합회영업/정상제주특별자치도 제주시 연동 300번지 1호제주특별자치도 제주시 연삼로 38-0, 2층 2호 (연동)문화(사단)2019061520211031
919660704(재)대한예수교장로회제주노회유지재단영업/정상제주특별자치도 제주시 조천읍 와흘리 14번지 3호제주특별자치도 제주시 조천읍 남조로 2125-0행정(재단)2019061520211031
인허가일자법인명영업상태명소재지 지번 주소소재지 도로명 주소문화체육업종명데이터갱신일자데이터 기준일
13420200326사단법인 한국라틴문화교류원영업/정상제주특별자치도 제주시 조천읍 조천리 858번지 0호제주특별자치도 제주시 조천읍 조흥길 80-16문화(사단)2021020920211031
13520200417(사)설문대영업/정상제주특별자치도 제주시 조천읍 교래리 291번지 0호제주특별자치도 제주시 조천읍 교래2길 11-0문화(사단)2021020920211031
13620200504사단법인 문화예술공간몬딱영업/정상제주특별자치도 서귀포시 안덕면 감산리 210번지 4호제주특별자치도 서귀포시 안덕면 일주서로1488번길 5-0문화(사단)2021020920211031
13720200629사단법인 실크로드선교회영업/정상제주특별자치도 제주시 아라일동 6136번지 3호제주특별자치도 제주시 중앙로 567-0, 2층 201호 (아라일동)종교(사단)2021062420211031
13820150327재단법인 천송재단영업/정상제주특별자치도 제주시 삼도일동 534번지 17호 에덴빌딩 6층호제주특별자치도 제주시 서사로 134-0 (삼도일동)문화(재단)2021020920211031
13920200716사단법인 은송 선교 연구소영업/정상제주특별자치도 제주시 구좌읍 덕천리 176번지 0호제주특별자치도 제주시 구좌읍 덕평로 396-52종교(사단)2021020920211031
14020200731제주문화예술교육협회영업/정상제주특별자치도 제주시 이도이동 408번지 6호 은경빌딩 401호제주특별자치도 제주시 고마로 136-0, 401호 (이도이동,은경빌딩)문화(사단)2021020920211031
14120200914사단법인 에스라신학연구원영업/정상제주특별자치도 제주시 오라삼동 2097번지 1호제주특별자치도 제주시 연미2길 54-0 (오라삼동)종교(사단)2021020920211031
14220201104사단법인 법화일승 지용회영업/정상제주특별자치도 제주시 애월읍 광령리 2807번지 18호제주특별자치도 제주시 애월읍 광령평화2길 170-19종교(사단)2021020920211031
14320201204사단법인 복음과도시영업/정상제주특별자치도 서귀포시 안덕면 동광리 257번지 0호 드림교회제주특별자치도 서귀포시 안덕면 신화역사로 601-0 (드림교회)종교(사단)2021020920211031

Duplicate rows

Most frequently occurring

인허가일자법인명영업상태명소재지 지번 주소소재지 도로명 주소문화체육업종명데이터갱신일자데이터 기준일# duplicates
020191007사단법인 제주마을문화진흥원영업/정상제주특별자치도 서귀포시 동홍동 503번지 1호제주특별자치도 서귀포시 동홍남로 24-4, 3층 (동홍동)문화(사단)20191009202110312