Overview

Dataset statistics

Number of variables8
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory72.3 B

Variable types

Text4
Numeric2
DateTime2

Dataset

Description제주특별자치도에 소재하고 있는 전시관과 관련한 데이터로 명칭, 설립업체, 소재지, 규모, 소장자료 정보, 등록일 등의 정보를 제공합니다.
Author제주특별자치도
URLhttps://www.data.go.kr/data/15056260/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
명칭 has unique valuesUnique
소재지 has unique valuesUnique
규모(미터제곱) has unique valuesUnique
소장자료 수 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:29:02.125893
Analysis finished2023-12-12 16:29:03.100068
Duration0.97 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

명칭
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-13T01:29:03.243851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length8.3333333
Min length4

Characters and Unicode

Total characters175
Distinct characters79
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row제주테디베어뮤지엄
2nd row세계미니어쳐전시관
3rd row소인국테마파크전시관
4th row제주공룡랜드전시장
5th row닥종이인형전시관
ValueCountFrequency (%)
제주테디베어뮤지엄 1
 
4.5%
세계미니어쳐전시관 1
 
4.5%
설문대여성문화센터여성역사문화전시관 1
 
4.5%
세계술박물관 1
 
4.5%
이랜드뮤지엄 1
 
4.5%
타임파크 1
 
4.5%
탐라신화공원 1
 
4.5%
종합전시관 1
 
4.5%
제주아이스뮤지엄 1
 
4.5%
sos박물관 1
 
4.5%
Other values (12) 12
54.5%
2023-12-13T01:29:03.588717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13
 
7.4%
7
 
4.0%
7
 
4.0%
7
 
4.0%
7
 
4.0%
5
 
2.9%
5
 
2.9%
5
 
2.9%
5
 
2.9%
5
 
2.9%
Other values (69) 109
62.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 171
97.7%
Uppercase Letter 3
 
1.7%
Space Separator 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
13
 
7.6%
7
 
4.1%
7
 
4.1%
7
 
4.1%
7
 
4.1%
5
 
2.9%
5
 
2.9%
5
 
2.9%
5
 
2.9%
5
 
2.9%
Other values (66) 105
61.4%
Uppercase Letter
ValueCountFrequency (%)
S 2
66.7%
O 1
33.3%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 171
97.7%
Latin 3
 
1.7%
Common 1
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
13
 
7.6%
7
 
4.1%
7
 
4.1%
7
 
4.1%
7
 
4.1%
5
 
2.9%
5
 
2.9%
5
 
2.9%
5
 
2.9%
5
 
2.9%
Other values (66) 105
61.4%
Latin
ValueCountFrequency (%)
S 2
66.7%
O 1
33.3%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 171
97.7%
ASCII 4
 
2.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
13
 
7.6%
7
 
4.1%
7
 
4.1%
7
 
4.1%
7
 
4.1%
5
 
2.9%
5
 
2.9%
5
 
2.9%
5
 
2.9%
5
 
2.9%
Other values (66) 105
61.4%
ASCII
ValueCountFrequency (%)
S 2
50.0%
1
25.0%
O 1
25.0%
Distinct13
Distinct (%)61.9%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-13T01:29:03.743429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length6.952381
Min length2

Characters and Unicode

Total characters146
Distinct characters72
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)57.1%

Sample

1st row(주)제이에스앤에프
2nd row(주)미니미니랜드
3rd row(주)소인국테마파크금기룡
4th row(주)석성
5th row개인
ValueCountFrequency (%)
개인 9
42.9%
주)제이에스앤에프 1
 
4.8%
주)미니미니랜드 1
 
4.8%
주)소인국테마파크금기룡 1
 
4.8%
주)석성 1
 
4.8%
조안스튜디오 1
 
4.8%
사)제주전통옹기보존전승회 1
 
4.8%
주)아일랜드조이 1
 
4.8%
주)탐라신들의고향진상배 1
 
4.8%
타임파크 1
 
4.8%
Other values (3) 3
 
14.3%
2023-12-13T01:29:04.340050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 10
 
6.8%
10
 
6.8%
) 10
 
6.8%
10
 
6.8%
9
 
6.2%
4
 
2.7%
3
 
2.1%
3
 
2.1%
3
 
2.1%
3
 
2.1%
Other values (62) 81
55.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 126
86.3%
Open Punctuation 10
 
6.8%
Close Punctuation 10
 
6.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
10
 
7.9%
10
 
7.9%
9
 
7.1%
4
 
3.2%
3
 
2.4%
3
 
2.4%
3
 
2.4%
3
 
2.4%
3
 
2.4%
3
 
2.4%
Other values (60) 75
59.5%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 126
86.3%
Common 20
 
13.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
10
 
7.9%
10
 
7.9%
9
 
7.1%
4
 
3.2%
3
 
2.4%
3
 
2.4%
3
 
2.4%
3
 
2.4%
3
 
2.4%
3
 
2.4%
Other values (60) 75
59.5%
Common
ValueCountFrequency (%)
( 10
50.0%
) 10
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 126
86.3%
ASCII 20
 
13.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 10
50.0%
) 10
50.0%
Hangul
ValueCountFrequency (%)
10
 
7.9%
10
 
7.9%
9
 
7.1%
4
 
3.2%
3
 
2.4%
3
 
2.4%
3
 
2.4%
3
 
2.4%
3
 
2.4%
3
 
2.4%
Other values (60) 75
59.5%

소재지
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-13T01:29:04.567618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length27
Mean length23.809524
Min length18

Characters and Unicode

Total characters500
Distinct characters70
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row제주특별자치도 서귀포시 중문관광로 110번길 31
2nd row제주특별자치도 제주시 조천읍 비자림로 606
3rd row제주특별자치도 서귀포시 안덕면 평화로 629
4th row제주특별자치도 제주시 애월읍 광령평화2길 1
5th row제주특별자치도 서귀포시 월드컵로 33
ValueCountFrequency (%)
제주특별자치도 21
21.9%
서귀포시 12
 
12.5%
제주시 9
 
9.4%
조천읍 3
 
3.1%
애월읍 2
 
2.1%
월드컵로 2
 
2.1%
31 2
 
2.1%
선교로 2
 
2.1%
대정읍 2
 
2.1%
평화로 2
 
2.1%
Other values (39) 39
40.6%
2023-12-13T01:29:04.996671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
75
 
15.0%
32
 
6.4%
30
 
6.0%
22
 
4.4%
21
 
4.2%
21
 
4.2%
21
 
4.2%
21
 
4.2%
21
 
4.2%
19
 
3.8%
Other values (60) 217
43.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 347
69.4%
Space Separator 75
 
15.0%
Decimal Number 75
 
15.0%
Dash Punctuation 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
32
 
9.2%
30
 
8.6%
22
 
6.3%
21
 
6.1%
21
 
6.1%
21
 
6.1%
21
 
6.1%
21
 
6.1%
19
 
5.5%
14
 
4.0%
Other values (48) 125
36.0%
Decimal Number
ValueCountFrequency (%)
1 16
21.3%
3 13
17.3%
4 9
12.0%
0 8
10.7%
2 7
9.3%
6 7
9.3%
9 6
 
8.0%
5 4
 
5.3%
8 3
 
4.0%
7 2
 
2.7%
Space Separator
ValueCountFrequency (%)
75
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 347
69.4%
Common 153
30.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
32
 
9.2%
30
 
8.6%
22
 
6.3%
21
 
6.1%
21
 
6.1%
21
 
6.1%
21
 
6.1%
21
 
6.1%
19
 
5.5%
14
 
4.0%
Other values (48) 125
36.0%
Common
ValueCountFrequency (%)
75
49.0%
1 16
 
10.5%
3 13
 
8.5%
4 9
 
5.9%
0 8
 
5.2%
2 7
 
4.6%
6 7
 
4.6%
9 6
 
3.9%
5 4
 
2.6%
8 3
 
2.0%
Other values (2) 5
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 347
69.4%
ASCII 153
30.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
75
49.0%
1 16
 
10.5%
3 13
 
8.5%
4 9
 
5.9%
0 8
 
5.2%
2 7
 
4.6%
6 7
 
4.6%
9 6
 
3.9%
5 4
 
2.6%
8 3
 
2.0%
Other values (2) 5
 
3.3%
Hangul
ValueCountFrequency (%)
32
 
9.2%
30
 
8.6%
22
 
6.3%
21
 
6.1%
21
 
6.1%
21
 
6.1%
21
 
6.1%
21
 
6.1%
19
 
5.5%
14
 
4.0%
Other values (48) 125
36.0%

규모(미터제곱)
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17381.741
Minimum845.84
Maximum90571
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-13T01:29:05.208530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum845.84
5-th percentile1243
Q12510
median7490
Q318469
95-th percentile49644
Maximum90571
Range89725.16
Interquartile range (IQR)15959

Descriptive statistics

Standard deviation23015.112
Coefficient of variation (CV)1.324097
Kurtosis4.0779176
Mean17381.741
Median Absolute Deviation (MAD)6065
Skewness1.9820784
Sum365016.57
Variance5.296954 × 108
MonotonicityNot monotonic
2023-12-13T01:29:05.358097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
13555.0 1
 
4.8%
47663.0 1
 
4.8%
39789.0 1
 
4.8%
14134.0 1
 
4.8%
3033.0 1
 
4.8%
4878.0 1
 
4.8%
36574.0 1
 
4.8%
9950.0 1
 
4.8%
9994.0 1
 
4.8%
845.84 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
845.84 1
4.8%
1243.0 1
4.8%
1305.73 1
4.8%
1684.0 1
4.8%
1716.0 1
4.8%
2510.0 1
4.8%
3033.0 1
4.8%
4878.0 1
4.8%
4975.0 1
4.8%
4993.0 1
4.8%
ValueCountFrequency (%)
90571.0 1
4.8%
49644.0 1
4.8%
47663.0 1
4.8%
39789.0 1
4.8%
36574.0 1
4.8%
18469.0 1
4.8%
14134.0 1
4.8%
13555.0 1
4.8%
9994.0 1
4.8%
9950.0 1
4.8%
Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-13T01:29:05.527291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length4.9047619
Min length2

Characters and Unicode

Total characters103
Distinct characters46
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

Unique17 ?
Unique (%)81.0%

Sample

1st row곰인형
2nd row조형물 등
3rd row조형물 등
4th row화석 등
5th row공예품 등
ValueCountFrequency (%)
14
40.0%
화석 2
 
5.7%
조형물 2
 
5.7%
곰인형 2
 
5.7%
재난관련서적 1
 
2.9%
조가비 1
 
2.9%
술관련물품 1
 
2.9%
영화소품 1
 
2.9%
3d아트미술품 1
 
2.9%
기메 1
 
2.9%
Other values (9) 9
25.7%
2023-12-13T01:29:05.839917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14
 
13.6%
14
 
13.6%
5
 
4.9%
5
 
4.9%
5
 
4.9%
3
 
2.9%
3
 
2.9%
3
 
2.9%
3
 
2.9%
3
 
2.9%
Other values (36) 45
43.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 87
84.5%
Space Separator 14
 
13.6%
Uppercase Letter 1
 
1.0%
Decimal Number 1
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
14
 
16.1%
5
 
5.7%
5
 
5.7%
5
 
5.7%
3
 
3.4%
3
 
3.4%
3
 
3.4%
3
 
3.4%
3
 
3.4%
3
 
3.4%
Other values (33) 40
46.0%
Space Separator
ValueCountFrequency (%)
14
100.0%
Uppercase Letter
ValueCountFrequency (%)
D 1
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 87
84.5%
Common 15
 
14.6%
Latin 1
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
14
 
16.1%
5
 
5.7%
5
 
5.7%
5
 
5.7%
3
 
3.4%
3
 
3.4%
3
 
3.4%
3
 
3.4%
3
 
3.4%
3
 
3.4%
Other values (33) 40
46.0%
Common
ValueCountFrequency (%)
14
93.3%
3 1
 
6.7%
Latin
ValueCountFrequency (%)
D 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 87
84.5%
ASCII 16
 
15.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14
87.5%
D 1
 
6.2%
3 1
 
6.2%
Hangul
ValueCountFrequency (%)
14
 
16.1%
5
 
5.7%
5
 
5.7%
5
 
5.7%
3
 
3.4%
3
 
3.4%
3
 
3.4%
3
 
3.4%
3
 
3.4%
3
 
3.4%
Other values (33) 40
46.0%

소장자료 수
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean356.04762
Minimum63
Maximum2171
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-13T01:29:06.002248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum63
5-th percentile72
Q1114
median189
Q3312
95-th percentile1356
Maximum2171
Range2108
Interquartile range (IQR)198

Descriptive statistics

Standard deviation504.4882
Coefficient of variation (CV)1.4169122
Kurtosis8.8984787
Mean356.04762
Median Absolute Deviation (MAD)114
Skewness2.9280939
Sum7477
Variance254508.35
MonotonicityNot monotonic
2023-12-13T01:29:06.161117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1356 1
 
4.8%
63 1
 
4.8%
514 1
 
4.8%
2171 1
 
4.8%
189 1
 
4.8%
207 1
 
4.8%
75 1
 
4.8%
73 1
 
4.8%
114 1
 
4.8%
241 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
63 1
4.8%
72 1
4.8%
73 1
4.8%
75 1
4.8%
97 1
4.8%
114 1
4.8%
119 1
4.8%
120 1
4.8%
124 1
4.8%
167 1
4.8%
ValueCountFrequency (%)
2171 1
4.8%
1356 1
4.8%
514 1
4.8%
500 1
4.8%
448 1
4.8%
312 1
4.8%
305 1
4.8%
241 1
4.8%
210 1
4.8%
207 1
4.8%
Distinct18
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum2006-03-24 00:00:00
Maximum2017-06-05 00:00:00
2023-12-13T01:29:06.302753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:29:06.439858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum2021-08-27 00:00:00
Maximum2021-08-27 00:00:00
2023-12-13T01:29:06.567994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:29:06.696349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T01:29:02.684841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:29:02.530742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:29:02.767966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:29:02.605283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:29:06.784547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
명칭설립업체소재지규모(미터제곱)소장자료 정보소장자료 수등록일
명칭1.0001.0001.0001.0001.0001.0001.000
설립업체1.0001.0001.0000.9610.0000.8690.634
소재지1.0001.0001.0001.0001.0001.0001.000
규모(미터제곱)1.0000.9611.0001.0000.0000.1820.000
소장자료 정보1.0000.0001.0000.0001.0000.8940.932
소장자료 수1.0000.8691.0000.1820.8941.0000.000
등록일1.0000.6341.0000.0000.9320.0001.000
2023-12-13T01:29:06.944880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
규모(미터제곱)소장자료 수
규모(미터제곱)1.000-0.055
소장자료 수-0.0551.000

Missing values

2023-12-13T01:29:02.894642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:29:03.044423image/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

명칭설립업체소재지규모(미터제곱)소장자료 정보소장자료 수등록일데이터기준일자
0제주테디베어뮤지엄(주)제이에스앤에프제주특별자치도 서귀포시 중문관광로 110번길 3113555.0곰인형13562010-08-142021-08-27
1세계미니어쳐전시관(주)미니미니랜드제주특별자치도 제주시 조천읍 비자림로 60647663.0조형물 등632006-03-242021-08-27
2소인국테마파크전시관(주)소인국테마파크금기룡제주특별자치도 서귀포시 안덕면 평화로 62949644.0조형물 등722007-04-022021-08-27
3제주공룡랜드전시장(주)석성제주특별자치도 제주시 애월읍 광령평화2길 190571.0화석 등2102007-07-132021-08-27
4닥종이인형전시관개인제주특별자치도 서귀포시 월드컵로 331305.73공예품 등1672007-07-132021-08-27
5조안베어뮤지엄조안스튜디오제주특별자치도 서귀포시 대포로 1131716.0수작업곰인형1192008-12-302021-08-27
6석부작박물관공원개인제주특별자치도 서귀포시 일주동로 894118469.0석부작 등5002007-08-302021-08-27
7테지움사파리개인제주특별자치도 제주시 애월읍 평화로 21592510.0곰인형 등1242009-12-142021-08-27
8제주옹기박물관(사)제주전통옹기보존전승회제주특별자치도 서귀포시 대정읍 무영로254번길 3-14975.0옹기3052010-05-282021-08-27
9초콜릿박물관개인제주특별자치도 서귀포시 대정읍 일주서로3000번길 1444993.0토기류 등1202010-05-282021-08-27
명칭설립업체소재지규모(미터제곱)소장자료 정보소장자료 수등록일데이터기준일자
11믿거나말거나(주)아일랜드조이제주특별자치도 서귀포시 중문관광로110번길 327490.0조각품 등4482011-01-262021-08-27
12세계조가비박물관개인제주특별자치도 서귀포시 태평로 2841243.0조가비 등3122011-08-032021-08-27
13SOS박물관개인제주특별자치도 서귀포시 월드컵로 31845.84재난관련서적 등2412012-08-062021-08-27
14제주아이스뮤지엄 종합전시관개인제주특별자치도 제주시 은수길 699994.0얼음조각 등1142012-09-282021-08-27
15탐라신화공원(주)탐라신들의고향진상배제주특별자치도 제주시 조천읍 선교로 4749950.0기메 등732012-11-102021-08-27
16타임파크타임파크제주특별자치도 제주시 한경면 녹차분재로 639-736574.03D아트미술품752013-01-102021-08-27
17이랜드뮤지엄(주)이랜드파크제주특별자치도 제주시 한림읍 한림해안로 5304878.0영화소품2072015-04-202021-08-27
18세계술박물관개인제주특별자치도 서귀포시 표선면 한마음초등로 4313033.0술관련물품1892016-02-262021-08-27
19설문대여성문화센터여성역사문화전시관제주특별자치도지사(설문대여성문화센터)제주특별자치도 제주시 선덕로8길 1214134.0민속자료 등21712017-06-052021-08-27
20세계자연유산센터세계유산전시관제주특별자치도지사(세계유산본부)제주특별자치도 제주시 조천읍 선교로 569-3639789.0화석 등5142017-06-052021-08-27