Overview

Dataset statistics

Number of variables24
Number of observations159
Missing cells865
Missing cells (%)22.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory31.0 KiB
Average record size in memory199.8 B

Variable types

Text7
Categorical10
Unsupported5
Numeric2

Dataset

Description파일 다운로드
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-15272/F/1/datasetView.do

Alerts

평일관람시작시각 has constant value ""Constant
평일관람종료시각 has constant value ""Constant
공휴일관람종료시각 has constant value ""Constant
휴관정보 has constant value ""Constant
공휴일관람시작시각 is highly imbalanced (94.5%)Imbalance
데이터기준일자 is highly imbalanced (91.8%)Imbalance
소재지지번주소 has 159 (100.0%) missing valuesMissing
위도 has 33 (20.8%) missing valuesMissing
경도 has 33 (20.8%) missing valuesMissing
운영홈페이지 has 4 (2.5%) missing valuesMissing
편의시설정보 has 159 (100.0%) missing valuesMissing
관람료기타정보 has 159 (100.0%) missing valuesMissing
박물관미술관소개 has 159 (100.0%) missing valuesMissing
교통안내정보 has 159 (100.0%) missing valuesMissing
시설명 has unique valuesUnique
소재지지번주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
관람료기타정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
박물관미술관소개 is an unsupported type, check if it needs cleaning or further analysisUnsupported
교통안내정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-11 04:28:36.107714
Analysis finished2023-12-11 04:28:36.828479
Duration0.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

UNIQUE 

Distinct159
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-11T13:28:37.085825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length8.490566
Min length4

Characters and Unicode

Total characters1350
Distinct characters241
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

Unique159 ?
Unique (%)100.0%

Sample

1st row둘리뮤지엄
2nd row서대문자연사박물관
3rd row서대문형무소역사관
4th row서울교육박물관
5th row서울상상나라
ValueCountFrequency (%)
박물관 8
 
4.0%
미술관 4
 
2.0%
경희대학교 3
 
1.5%
숙명여자대학교 2
 
1.0%
자연사박물관 2
 
1.0%
종로구립 2
 
1.0%
롯데월드 2
 
1.0%
한익환서울특별시아트박물관 1
 
0.5%
서울여자대학교박물관 1
 
0.5%
복식박물관 1
 
0.5%
Other values (176) 176
87.1%
2023-12-11T13:28:37.634675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
관 152
 
11.3%
박 96
 
7.1%
물 94
 
7.0%
47
 
3.5%
학 45
 
3.3%
대 43
 
3.2%
술 43
 
3.2%
미 42
 
3.1%
교 39
 
2.9%
한 24
 
1.8%
Other values (231) 725
53.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1268
93.9%
Space Separator 47
 
3.5%
Uppercase Letter 17
 
1.3%
Close Punctuation 4
 
0.3%
Open Punctuation 4
 
0.3%
Decimal Number 4
 
0.3%
Lowercase Letter 4
 
0.3%
Control 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 152
 
12.0%
박 96
 
7.6%
물 94
 
7.4%
학 45
 
3.5%
대 43
 
3.4%
술 43
 
3.4%
미 42
 
3.3%
교 39
 
3.1%
한 24
 
1.9%
자 24
 
1.9%
Other values (209) 666
52.5%
Uppercase Letter
ValueCountFrequency (%)
C 3
17.6%
E 2
11.8%
S 2
11.8%
K 1
 
5.9%
W 1
 
5.9%
J 1
 
5.9%
L 1
 
5.9%
O 1
 
5.9%
I 1
 
5.9%
P 1
 
5.9%
Other values (3) 3
17.6%
Lowercase Letter
ValueCountFrequency (%)
e 2
50.0%
m 1
25.0%
u 1
25.0%
Decimal Number
ValueCountFrequency (%)
6 2
50.0%
3 2
50.0%
Space Separator
ValueCountFrequency (%)
47
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Control
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1268
93.9%
Common 61
 
4.5%
Latin 21
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 152
 
12.0%
박 96
 
7.6%
물 94
 
7.4%
학 45
 
3.5%
대 43
 
3.4%
술 43
 
3.4%
미 42
 
3.3%
교 39
 
3.1%
한 24
 
1.9%
자 24
 
1.9%
Other values (209) 666
52.5%
Latin
ValueCountFrequency (%)
C 3
14.3%
E 2
 
9.5%
S 2
 
9.5%
e 2
 
9.5%
K 1
 
4.8%
W 1
 
4.8%
m 1
 
4.8%
J 1
 
4.8%
L 1
 
4.8%
O 1
 
4.8%
Other values (6) 6
28.6%
Common
ValueCountFrequency (%)
47
77.0%
) 4
 
6.6%
( 4
 
6.6%
6 2
 
3.3%
3 2
 
3.3%
2
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1268
93.9%
ASCII 82
 
6.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
관 152
 
12.0%
박 96
 
7.6%
물 94
 
7.4%
학 45
 
3.5%
대 43
 
3.4%
술 43
 
3.4%
미 42
 
3.3%
교 39
 
3.1%
한 24
 
1.9%
자 24
 
1.9%
Other values (209) 666
52.5%
ASCII
ValueCountFrequency (%)
47
57.3%
) 4
 
4.9%
( 4
 
4.9%
C 3
 
3.7%
E 2
 
2.4%
S 2
 
2.4%
6 2
 
2.4%
3 2
 
2.4%
e 2
 
2.4%
2
 
2.4%
Other values (12) 12
 
14.6%

박물관미술관구분
Categorical

Distinct7
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
사립
104 
대학
30 
공립
20 
국립
 
2
사랍
 
1
Other values (2)
 
2

Length

Max length4
Median length2
Mean length2.0188679
Min length2

Unique

Unique3 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
사립 104
65.4%
대학 30
 
18.9%
공립 20
 
12.6%
국립 2
 
1.3%
사랍 1
 
0.6%
사립 1
 
0.6%
사립 1
 
0.6%

Length

2023-12-11T13:28:37.844160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T13:28:38.009249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 106
66.7%
대학 30
 
18.9%
공립 20
 
12.6%
국립 2
 
1.3%
사랍 1
 
0.6%

소재지도로명주소
Text

Distinct151
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-11T13:28:38.523609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length33
Mean length19.855346
Min length12

Characters and Unicode

Total characters3157
Distinct characters203
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

Unique144 ?
Unique (%)90.6%

Sample

1st row서울특별시 도봉구 시루봉로 1길 6
2nd row서울특별시 서대문구 연희로 32길 51
3rd row서울특별시 서대문구 통일로251
4th row서울특별시 종로구 북촌로 5길 48
5th row서울특별시 광진구 능동로 216
ValueCountFrequency (%)
서울특별시 159
 
22.8%
종로구 51
 
7.3%
중구 13
 
1.9%
용산구 9
 
1.3%
서초구 8
 
1.1%
성북구 7
 
1.0%
서대문구 7
 
1.0%
송파구 7
 
1.0%
강남구 6
 
0.9%
남부순환로 6
 
0.9%
Other values (303) 423
60.8%
2023-12-11T13:28:39.259026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
542
17.2%
로 188
 
6.0%
서 183
 
5.8%
시 162
 
5.1%
울 161
 
5.1%
별 161
 
5.1%
특 161
 
5.1%
구 150
 
4.8%
1 96
 
3.0%
2 78
 
2.5%
Other values (193) 1275
40.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2059
65.2%
Space Separator 542
 
17.2%
Decimal Number 512
 
16.2%
Dash Punctuation 15
 
0.5%
Close Punctuation 9
 
0.3%
Open Punctuation 9
 
0.3%
Other Punctuation 8
 
0.3%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 188
 
9.1%
서 183
 
8.9%
시 162
 
7.9%
울 161
 
7.8%
별 161
 
7.8%
특 161
 
7.8%
구 150
 
7.3%
길 69
 
3.4%
종 57
 
2.8%
대 42
 
2.0%
Other values (176) 725
35.2%
Decimal Number
ValueCountFrequency (%)
1 96
18.8%
2 78
15.2%
5 58
11.3%
3 52
10.2%
4 50
9.8%
0 50
9.8%
6 46
9.0%
7 31
 
6.1%
9 27
 
5.3%
8 24
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
B 2
66.7%
F 1
33.3%
Space Separator
ValueCountFrequency (%)
542
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2059
65.2%
Common 1095
34.7%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 188
 
9.1%
서 183
 
8.9%
시 162
 
7.9%
울 161
 
7.8%
별 161
 
7.8%
특 161
 
7.8%
구 150
 
7.3%
길 69
 
3.4%
종 57
 
2.8%
대 42
 
2.0%
Other values (176) 725
35.2%
Common
ValueCountFrequency (%)
542
49.5%
1 96
 
8.8%
2 78
 
7.1%
5 58
 
5.3%
3 52
 
4.7%
4 50
 
4.6%
0 50
 
4.6%
6 46
 
4.2%
7 31
 
2.8%
9 27
 
2.5%
Other values (5) 65
 
5.9%
Latin
ValueCountFrequency (%)
B 2
66.7%
F 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2059
65.2%
ASCII 1098
34.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
542
49.4%
1 96
 
8.7%
2 78
 
7.1%
5 58
 
5.3%
3 52
 
4.7%
4 50
 
4.6%
0 50
 
4.6%
6 46
 
4.2%
7 31
 
2.8%
9 27
 
2.5%
Other values (7) 68
 
6.2%
Hangul
ValueCountFrequency (%)
로 188
 
9.1%
서 183
 
8.9%
시 162
 
7.9%
울 161
 
7.8%
별 161
 
7.8%
특 161
 
7.8%
구 150
 
7.3%
길 69
 
3.4%
종 57
 
2.8%
대 42
 
2.0%
Other values (176) 725
35.2%

소재지지번주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing159
Missing (%)100.0%
Memory size1.5 KiB

위도
Real number (ℝ)

MISSING 

Distinct124
Distinct (%)98.4%
Missing33
Missing (%)20.8%
Infinite0
Infinite (%)0.0%
Mean38.25459
Minimum35.44802
Maximum126.98175
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-11T13:28:39.457776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.44802
5-th percentile37.480043
Q137.549772
median37.571878
Q337.584761
95-th percentile37.617261
Maximum126.98175
Range91.533731
Interquartile range (IQR)0.034989598

Descriptive statistics

Standard deviation7.9700465
Coefficient of variation (CV)0.20834223
Kurtosis125.84685
Mean38.25459
Median Absolute Deviation (MAD)0.01833542
Skewness11.214664
Sum4820.0783
Variance63.521641
MonotonicityNot monotonic
2023-12-11T13:28:39.673632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.524051 2
 
1.3%
37.589433 2
 
1.3%
37.59771 1
 
0.6%
37.495555 1
 
0.6%
37.544679 1
 
0.6%
37.55152 1
 
0.6%
37.591711 1
 
0.6%
37.587447 1
 
0.6%
37.583155 1
 
0.6%
37.46453 1
 
0.6%
Other values (114) 114
71.7%
(Missing) 33
 
20.8%
ValueCountFrequency (%)
35.44802 1
0.6%
37.259943 1
0.6%
37.46453 1
0.6%
37.46642 1
0.6%
37.47375026 1
0.6%
37.479002 1
0.6%
37.479918 1
0.6%
37.480418 1
0.6%
37.485667 1
0.6%
37.485889 1
0.6%
ValueCountFrequency (%)
126.9817505 1
0.6%
37.6538158 1
0.6%
37.652736 1
0.6%
37.65243153 1
0.6%
37.642261 1
0.6%
37.64033477 1
0.6%
37.61877901 1
0.6%
37.612707 1
0.6%
37.611903 1
0.6%
37.61189018 1
0.6%

경도
Real number (ℝ)

MISSING 

Distinct125
Distinct (%)99.2%
Missing33
Missing (%)20.8%
Infinite0
Infinite (%)0.0%
Mean126.29752
Minimum37.559439
Maximum128.38629
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-11T13:28:39.904338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.559439
5-th percentile126.92699
Q1126.966
median126.98503
Q3127.02831
95-th percentile127.10971
Maximum128.38629
Range90.826856
Interquartile range (IQR)0.062313175

Descriptive statistics

Standard deviation7.96982
Coefficient of variation (CV)0.063103536
Kurtosis125.92489
Mean126.29752
Median Absolute Deviation (MAD)0.0256281
Skewness-11.219949
Sum15913.487
Variance63.51803
MonotonicityNot monotonic
2023-12-11T13:28:40.100547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.032784 2
 
1.3%
127.055198 1
 
0.6%
126.95707 1
 
0.6%
126.96411 1
 
0.6%
127.075253 1
 
0.6%
127.021257 1
 
0.6%
126.994751 1
 
0.6%
127.056948 1
 
0.6%
126.952209 1
 
0.6%
126.975955 1
 
0.6%
Other values (115) 115
72.3%
(Missing) 33
 
20.8%
ValueCountFrequency (%)
37.55943913 1
0.6%
126.838467 1
0.6%
126.844051 1
0.6%
126.8507495 1
0.6%
126.8510306 1
0.6%
126.914879 1
0.6%
126.926043 1
0.6%
126.9298387 1
0.6%
126.930237 1
0.6%
126.9325193 1
0.6%
ValueCountFrequency (%)
128.386295 1
0.6%
127.1477157 1
0.6%
127.1208007 1
0.6%
127.11822 1
0.6%
127.115509 1
0.6%
127.11397 1
0.6%
127.110334 1
0.6%
127.107832 1
0.6%
127.1044469 1
0.6%
127.102944 1
0.6%

운영기관전화번호
Text

Distinct154
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-11T13:28:40.424539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length11
Mean length11.490566
Min length11

Characters and Unicode

Total characters1827
Distinct characters15
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique150 ?
Unique (%)94.3%

Sample

1st row02-990-2200
2nd row02-330-8899
3rd row02-360-8590
4th row02-2011-5780
5th row02-6450-9500
ValueCountFrequency (%)
02-580-1300 3
 
1.9%
02-780-6382 2
 
1.3%
02-710-9134 2
 
1.3%
02-547-9177 2
 
1.3%
02-3399-3065 1
 
0.6%
02-880-5333 1
 
0.6%
02-6490-6586~7 1
 
0.6%
02-970-5311 1
 
0.6%
02-760-1216 1
 
0.6%
02-920-7325 1
 
0.6%
Other values (144) 144
90.6%
2023-12-11T13:28:40.954107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 337
18.4%
- 316
17.3%
2 297
16.3%
7 135
7.4%
1 127
 
7.0%
3 126
 
6.9%
6 113
 
6.2%
4 111
 
6.1%
5 95
 
5.2%
9 85
 
4.7%
Other values (5) 85
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1501
82.2%
Dash Punctuation 316
 
17.3%
Math Symbol 5
 
0.3%
Other Punctuation 3
 
0.2%
Space Separator 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 337
22.5%
2 297
19.8%
7 135
9.0%
1 127
 
8.5%
3 126
 
8.4%
6 113
 
7.5%
4 111
 
7.4%
5 95
 
6.3%
9 85
 
5.7%
8 75
 
5.0%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
, 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 316
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1827
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 337
18.4%
- 316
17.3%
2 297
16.3%
7 135
7.4%
1 127
 
7.0%
3 126
 
6.9%
6 113
 
6.2%
4 111
 
6.1%
5 95
 
5.2%
9 85
 
4.7%
Other values (5) 85
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1827
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 337
18.4%
- 316
17.3%
2 297
16.3%
7 135
7.4%
1 127
 
7.0%
3 126
 
6.9%
6 113
 
6.2%
4 111
 
6.1%
5 95
 
5.2%
9 85
 
4.7%
Other values (5) 85
 
4.7%

운영기관명
Text

Distinct135
Distinct (%)84.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-11T13:28:41.299716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length16
Mean length6.572327
Min length2

Characters and Unicode

Total characters1045
Distinct characters204
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

Unique121 ?
Unique (%)76.1%

Sample

1st row도봉구
2nd row서대문구
3rd row서대문구
4th row서울특별시특별시교육청
5th row서울특별시특별시
ValueCountFrequency (%)
서울특별시특별시 10
 
5.4%
서울특별시대학교 3
 
1.6%
문화체육관광부 3
 
1.6%
경희대학교 3
 
1.6%
숙명여자대학교 3
 
1.6%
예술의전당 3
 
1.6%
롯데월드 2
 
1.1%
학교법인 2
 
1.1%
재단법인 2
 
1.1%
성보문화재단 2
 
1.1%
Other values (143) 151
82.1%
2023-12-11T13:28:41.723976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 41
 
3.9%
대 39
 
3.7%
학 38
 
3.6%
시 33
 
3.2%
특 31
 
3.0%
별 31
 
3.0%
재 28
 
2.7%
화 28
 
2.7%
문 27
 
2.6%
단 24
 
2.3%
Other values (194) 725
69.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 977
93.5%
Space Separator 24
 
2.3%
Open Punctuation 11
 
1.1%
Close Punctuation 11
 
1.1%
Other Symbol 10
 
1.0%
Other Punctuation 8
 
0.8%
Control 3
 
0.3%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 41
 
4.2%
대 39
 
4.0%
학 38
 
3.9%
시 33
 
3.4%
특 31
 
3.2%
별 31
 
3.2%
재 28
 
2.9%
화 28
 
2.9%
문 27
 
2.8%
단 24
 
2.5%
Other values (182) 657
67.2%
Other Punctuation
ValueCountFrequency (%)
" 2
25.0%
: 2
25.0%
/ 1
12.5%
, 1
12.5%
. 1
12.5%
? 1
12.5%
Space Separator
ValueCountFrequency (%)
24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 10
100.0%
Control
ValueCountFrequency (%)
3
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 987
94.4%
Common 58
 
5.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 41
 
4.2%
대 39
 
4.0%
학 38
 
3.9%
시 33
 
3.3%
특 31
 
3.1%
별 31
 
3.1%
재 28
 
2.8%
화 28
 
2.8%
문 27
 
2.7%
단 24
 
2.4%
Other values (183) 667
67.6%
Common
ValueCountFrequency (%)
24
41.4%
( 11
19.0%
) 11
19.0%
3
 
5.2%
" 2
 
3.4%
: 2
 
3.4%
/ 1
 
1.7%
, 1
 
1.7%
. 1
 
1.7%
1 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 977
93.5%
ASCII 58
 
5.6%
None 10
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 41
 
4.2%
대 39
 
4.0%
학 38
 
3.9%
시 33
 
3.4%
특 31
 
3.2%
별 31
 
3.2%
재 28
 
2.9%
화 28
 
2.9%
문 27
 
2.8%
단 24
 
2.5%
Other values (182) 657
67.2%
ASCII
ValueCountFrequency (%)
24
41.4%
( 11
19.0%
) 11
19.0%
3
 
5.2%
" 2
 
3.4%
: 2
 
3.4%
/ 1
 
1.7%
, 1
 
1.7%
. 1
 
1.7%
1 1
 
1.7%
None
ValueCountFrequency (%)
㈜ 10
100.0%

운영홈페이지
Text

MISSING 

Distinct149
Distinct (%)96.1%
Missing4
Missing (%)2.5%
Memory size1.4 KiB
2023-12-11T13:28:42.363840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length104
Median length41
Mean length23.277419
Min length2

Characters and Unicode

Total characters3608
Distinct characters72
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique145 ?
Unique (%)93.5%

Sample

1st rowdoolymuseum.or.kr
2nd rowhttp://namu.sdm.go.kr
3rd rowwww.sscmc.or.kr
4th rowhttp://edumuseum.sen.go.kr
5th rowwww.seoulchildrensmuseum.org
ValueCountFrequency (%)
www.sac.or.kr 3
 
1.8%
www.sungshin.ac.kr/museum 3
 
1.8%
없음 2
 
1.2%
sema.seoul.go.kr 2
 
1.2%
museum.ssu.ac.kr 1
 
0.6%
http://museum.snu.ac.kr 1
 
0.6%
museum.smu.ac.kr 1
 
0.6%
museum.uos.ac.kr 1
 
0.6%
shb.skku.edu/museum 1
 
0.6%
http://museum.sejong.ac.kr 1
 
0.6%
Other values (149) 149
90.3%
2023-12-11T13:28:42.919206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 409
 
11.3%
w 339
 
9.4%
m 282
 
7.8%
u 260
 
7.2%
o 253
 
7.0%
r 201
 
5.6%
e 187
 
5.2%
s 183
 
5.1%
/ 173
 
4.8%
t 159
 
4.4%
Other values (62) 1162
32.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2890
80.1%
Other Punctuation 643
 
17.8%
Other Letter 22
 
0.6%
Decimal Number 18
 
0.5%
Uppercase Letter 13
 
0.4%
Space Separator 11
 
0.3%
Control 5
 
0.1%
Dash Punctuation 3
 
0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 339
11.7%
m 282
 
9.8%
u 260
 
9.0%
o 253
 
8.8%
r 201
 
7.0%
e 187
 
6.5%
s 183
 
6.3%
t 159
 
5.5%
k 139
 
4.8%
a 138
 
4.8%
Other values (15) 749
25.9%
Other Letter
ValueCountFrequency (%)
음 2
 
9.1%
없 2
 
9.1%
서 1
 
4.5%
울 1
 
4.5%
특 1
 
4.5%
관 1
 
4.5%
물 1
 
4.5%
박 1
 
4.5%
돌 1
 
4.5%
옛 1
 
4.5%
Other values (10) 10
45.5%
Decimal Number
ValueCountFrequency (%)
6 3
16.7%
3 3
16.7%
2 3
16.7%
0 3
16.7%
8 2
11.1%
1 1
 
5.6%
9 1
 
5.6%
7 1
 
5.6%
5 1
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
W 6
46.2%
R 2
 
15.4%
O 1
 
7.7%
C 1
 
7.7%
T 1
 
7.7%
A 1
 
7.7%
K 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
. 409
63.6%
/ 173
26.9%
: 60
 
9.3%
, 1
 
0.2%
Space Separator
ValueCountFrequency (%)
8
72.7%
　 3
 
27.3%
Control
ValueCountFrequency (%)
5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2903
80.5%
Common 683
 
18.9%
Hangul 22
 
0.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 339
11.7%
m 282
 
9.7%
u 260
 
9.0%
o 253
 
8.7%
r 201
 
6.9%
e 187
 
6.4%
s 183
 
6.3%
t 159
 
5.5%
k 139
 
4.8%
a 138
 
4.8%
Other values (22) 762
26.2%
Common
ValueCountFrequency (%)
. 409
59.9%
/ 173
25.3%
: 60
 
8.8%
8
 
1.2%
5
 
0.7%
6 3
 
0.4%
- 3
 
0.4%
3 3
 
0.4%
2 3
 
0.4%
0 3
 
0.4%
Other values (10) 13
 
1.9%
Hangul
ValueCountFrequency (%)
음 2
 
9.1%
없 2
 
9.1%
서 1
 
4.5%
울 1
 
4.5%
특 1
 
4.5%
관 1
 
4.5%
물 1
 
4.5%
박 1
 
4.5%
돌 1
 
4.5%
옛 1
 
4.5%
Other values (10) 10
45.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3583
99.3%
Hangul 22
 
0.6%
None 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 409
 
11.4%
w 339
 
9.5%
m 282
 
7.9%
u 260
 
7.3%
o 253
 
7.1%
r 201
 
5.6%
e 187
 
5.2%
s 183
 
5.1%
/ 173
 
4.8%
t 159
 
4.4%
Other values (41) 1137
31.7%
None
ValueCountFrequency (%)
　 3
100.0%
Hangul
ValueCountFrequency (%)
음 2
 
9.1%
없 2
 
9.1%
서 1
 
4.5%
울 1
 
4.5%
특 1
 
4.5%
관 1
 
4.5%
물 1
 
4.5%
박 1
 
4.5%
돌 1
 
4.5%
옛 1
 
4.5%
Other values (10) 10
45.5%

편의시설정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing159
Missing (%)100.0%
Memory size1.5 KiB

평일관람시작시각
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
00:00
159 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row00:00
2nd row00:00
3rd row00:00
4th row00:00
5th row00:00

Common Values

ValueCountFrequency (%)
00:00 159
100.0%

Length

2023-12-11T13:28:43.115309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T13:28:43.250775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00 159
100.0%

평일관람종료시각
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
00:00
159 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row00:00
2nd row00:00
3rd row00:00
4th row00:00
5th row00:00

Common Values

ValueCountFrequency (%)
00:00 159
100.0%

Length

2023-12-11T13:28:43.397525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T13:28:43.530654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00 159
100.0%

공휴일관람시작시각
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
00:00
158 
0:00
 
1

Length

Max length5
Median length5
Mean length4.9937107
Min length4

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row00:00
2nd row00:00
3rd row00:00
4th row00:00
5th row00:00

Common Values

ValueCountFrequency (%)
00:00 158
99.4%
0:00 1
 
0.6%

Length

2023-12-11T13:28:43.651340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T13:28:43.779986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00 158
99.4%
0:00 1
 
0.6%

공휴일관람종료시각
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
00:00
159 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row00:00
2nd row00:00
3rd row00:00
4th row00:00
5th row00:00

Common Values

ValueCountFrequency (%)
00:00 159
100.0%

Length

2023-12-11T13:28:43.943871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T13:28:44.080568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00 159
100.0%

휴관정보
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
홈페이지참고
159 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
홈페이지참고 159
100.0%

Length

2023-12-11T13:28:44.200528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T13:28:44.327888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
홈페이지참고 159
100.0%

어른관람료
Categorical

Distinct19
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
0
60 
<NA>
36 
3000
14 
5000
13 
2000
7 
Other values (14)
29 

Length

Max length5
Median length4
Mean length2.9245283
Min length1

Unique

Unique8 ?
Unique (%)5.0%

Sample

1st row5000
2nd row6000
3rd row3000
4th row0
5th row4000

Common Values

ValueCountFrequency (%)
0 60
37.7%
<NA> 36
22.6%
3000 14
 
8.8%
5000 13
 
8.2%
2000 7
 
4.4%
6000 4
 
2.5%
10000 4
 
2.5%
1000 4
 
2.5%
4000 3
 
1.9%
7000 3
 
1.9%
Other values (9) 11
 
6.9%

Length

2023-12-11T13:28:44.491200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0 60
37.7%
na 36
22.6%
3000 14
 
8.8%
5000 13
 
8.2%
2000 7
 
4.4%
6000 4
 
2.5%
10000 4
 
2.5%
1000 4
 
2.5%
15000 3
 
1.9%
7000 3
 
1.9%
Other values (9) 11
 
6.9%

청소년관람료
Categorical

Distinct22
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
0
60 
<NA>
39 
2000
11 
3000
10 
5000
 
6
Other values (17)
33 

Length

Max length5
Median length4
Mean length2.8930818
Min length1

Unique

Unique11 ?
Unique (%)6.9%

Sample

1st row5000
2nd row3000
3rd row1500
4th row0
5th row4000

Common Values

ValueCountFrequency (%)
0 60
37.7%
<NA> 39
24.5%
2000 11
 
6.9%
3000 10
 
6.3%
5000 6
 
3.8%
4000 5
 
3.1%
1000 5
 
3.1%
1500 4
 
2.5%
500 4
 
2.5%
6000 2
 
1.3%
Other values (12) 13
 
8.2%

Length

2023-12-11T13:28:44.681901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0 60
37.7%
na 39
24.5%
2000 11
 
6.9%
3000 10
 
6.3%
5000 6
 
3.8%
4000 5
 
3.1%
1000 5
 
3.1%
1500 4
 
2.5%
500 4
 
2.5%
6000 2
 
1.3%
Other values (12) 13
 
8.2%

어린이관람료
Categorical

Distinct20
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
0
61 
<NA>
39 
2000
11 
3000
10 
1000
7 
Other values (15)
31 

Length

Max length5
Median length4
Mean length2.8679245
Min length1

Unique

Unique8 ?
Unique (%)5.0%

Sample

1st row5000
2nd row2000
3rd row1000
4th row0
5th row4000

Common Values

ValueCountFrequency (%)
0 61
38.4%
<NA> 39
24.5%
2000 11
 
6.9%
3000 10
 
6.3%
1000 7
 
4.4%
4000 6
 
3.8%
5000 4
 
2.5%
500 3
 
1.9%
6000 3
 
1.9%
1500 3
 
1.9%
Other values (10) 12
 
7.5%

Length

2023-12-11T13:28:44.895192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0 61
38.4%
na 39
24.5%
2000 11
 
6.9%
3000 10
 
6.3%
1000 7
 
4.4%
4000 6
 
3.8%
5000 4
 
2.5%
500 3
 
1.9%
6000 3
 
1.9%
1500 3
 
1.9%
Other values (10) 12
 
7.5%

관람료기타정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing159
Missing (%)100.0%
Memory size1.5 KiB

박물관미술관소개
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing159
Missing (%)100.0%
Memory size1.5 KiB

교통안내정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing159
Missing (%)100.0%
Memory size1.5 KiB

관리기관전화번호
Text

Distinct154
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-11T13:28:45.228476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length11
Mean length11.490566
Min length11

Characters and Unicode

Total characters1827
Distinct characters15
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique150 ?
Unique (%)94.3%

Sample

1st row02-990-2200
2nd row02-330-8899
3rd row02-360-8590
4th row02-2011-5780
5th row02-6450-9500
ValueCountFrequency (%)
02-580-1300 3
 
1.9%
02-780-6382 2
 
1.3%
02-710-9134 2
 
1.3%
02-547-9177 2
 
1.3%
02-3399-3065 1
 
0.6%
02-880-5333 1
 
0.6%
02-6490-6586~7 1
 
0.6%
02-970-5311 1
 
0.6%
02-760-1216 1
 
0.6%
02-920-7325 1
 
0.6%
Other values (144) 144
90.6%
2023-12-11T13:28:45.828266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 337
18.4%
- 316
17.3%
2 297
16.3%
7 135
7.4%
1 127
 
7.0%
3 126
 
6.9%
6 113
 
6.2%
4 111
 
6.1%
5 95
 
5.2%
9 85
 
4.7%
Other values (5) 85
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1501
82.2%
Dash Punctuation 316
 
17.3%
Math Symbol 5
 
0.3%
Other Punctuation 3
 
0.2%
Space Separator 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 337
22.5%
2 297
19.8%
7 135
9.0%
1 127
 
8.5%
3 126
 
8.4%
6 113
 
7.5%
4 111
 
7.4%
5 95
 
6.3%
9 85
 
5.7%
8 75
 
5.0%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
, 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 316
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1827
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 337
18.4%
- 316
17.3%
2 297
16.3%
7 135
7.4%
1 127
 
7.0%
3 126
 
6.9%
6 113
 
6.2%
4 111
 
6.1%
5 95
 
5.2%
9 85
 
4.7%
Other values (5) 85
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1827
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 337
18.4%
- 316
17.3%
2 297
16.3%
7 135
7.4%
1 127
 
7.0%
3 126
 
6.9%
6 113
 
6.2%
4 111
 
6.1%
5 95
 
5.2%
9 85
 
4.7%
Other values (5) 85
 
4.7%

관리기관명
Text

Distinct135
Distinct (%)84.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-11T13:28:46.196157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length16
Mean length6.572327
Min length2

Characters and Unicode

Total characters1045
Distinct characters204
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

Unique121 ?
Unique (%)76.1%

Sample

1st row도봉구
2nd row서대문구
3rd row서대문구
4th row서울특별시특별시교육청
5th row서울특별시특별시
ValueCountFrequency (%)
서울특별시특별시 10
 
5.4%
서울특별시대학교 3
 
1.6%
문화체육관광부 3
 
1.6%
경희대학교 3
 
1.6%
숙명여자대학교 3
 
1.6%
예술의전당 3
 
1.6%
롯데월드 2
 
1.1%
학교법인 2
 
1.1%
재단법인 2
 
1.1%
성보문화재단 2
 
1.1%
Other values (143) 151
82.1%
2023-12-11T13:28:46.718298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 41
 
3.9%
대 39
 
3.7%
학 38
 
3.6%
시 33
 
3.2%
특 31
 
3.0%
별 31
 
3.0%
재 28
 
2.7%
화 28
 
2.7%
문 27
 
2.6%
단 24
 
2.3%
Other values (194) 725
69.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 977
93.5%
Space Separator 24
 
2.3%
Open Punctuation 11
 
1.1%
Close Punctuation 11
 
1.1%
Other Symbol 10
 
1.0%
Other Punctuation 8
 
0.8%
Control 3
 
0.3%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 41
 
4.2%
대 39
 
4.0%
학 38
 
3.9%
시 33
 
3.4%
특 31
 
3.2%
별 31
 
3.2%
재 28
 
2.9%
화 28
 
2.9%
문 27
 
2.8%
단 24
 
2.5%
Other values (182) 657
67.2%
Other Punctuation
ValueCountFrequency (%)
" 2
25.0%
: 2
25.0%
/ 1
12.5%
, 1
12.5%
. 1
12.5%
? 1
12.5%
Space Separator
ValueCountFrequency (%)
24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 10
100.0%
Control
ValueCountFrequency (%)
3
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 987
94.4%
Common 58
 
5.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 41
 
4.2%
대 39
 
4.0%
학 38
 
3.9%
시 33
 
3.3%
특 31
 
3.1%
별 31
 
3.1%
재 28
 
2.8%
화 28
 
2.8%
문 27
 
2.7%
단 24
 
2.4%
Other values (183) 667
67.6%
Common
ValueCountFrequency (%)
24
41.4%
( 11
19.0%
) 11
19.0%
3
 
5.2%
" 2
 
3.4%
: 2
 
3.4%
/ 1
 
1.7%
, 1
 
1.7%
. 1
 
1.7%
1 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 977
93.5%
ASCII 58
 
5.6%
None 10
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 41
 
4.2%
대 39
 
4.0%
학 38
 
3.9%
시 33
 
3.4%
특 31
 
3.2%
별 31
 
3.2%
재 28
 
2.9%
화 28
 
2.9%
문 27
 
2.8%
단 24
 
2.5%
Other values (182) 657
67.2%
ASCII
ValueCountFrequency (%)
24
41.4%
( 11
19.0%
) 11
19.0%
3
 
5.2%
" 2
 
3.4%
: 2
 
3.4%
/ 1
 
1.7%
, 1
 
1.7%
. 1
 
1.7%
1 1
 
1.7%
None
ValueCountFrequency (%)
㈜ 10
100.0%

데이터기준일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2017-12-31
156 
2018-06-20
 
1
2018-05-21
 
1
2018-03-20
 
1

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique3 ?
Unique (%)1.9%

Sample

1st row2017-12-31
2nd row2017-12-31
3rd row2017-12-31
4th row2017-12-31
5th row2017-12-31

Common Values

ValueCountFrequency (%)
2017-12-31 156
98.1%
2018-06-20 1
 
0.6%
2018-05-21 1
 
0.6%
2018-03-20 1
 
0.6%

Length

2023-12-11T13:28:46.901335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T13:28:47.049610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2017-12-31 156
98.1%
2018-06-20 1
 
0.6%
2018-05-21 1
 
0.6%
2018-03-20 1
 
0.6%

Sample

시설명박물관미술관구분소재지도로명주소소재지지번주소위도경도운영기관전화번호운영기관명운영홈페이지편의시설정보평일관람시작시각평일관람종료시각공휴일관람시작시각공휴일관람종료시각휴관정보어른관람료청소년관람료어린이관람료관람료기타정보박물관미술관소개교통안내정보관리기관전화번호관리기관명데이터기준일자
0둘리뮤지엄공립서울특별시 도봉구 시루봉로 1길 6<NA>37.652432127.0276402-990-2200도봉구doolymuseum.or.kr<NA>00:0000:0000:0000:00홈페이지참고500050005000<NA><NA><NA>02-990-2200도봉구2017-12-31
1서대문자연사박물관공립서울특별시 서대문구 연희로 32길 51<NA>37.576753126.93785802-330-8899서대문구http://namu.sdm.go.kr<NA>00:0000:0000:0000:00홈페이지참고600030002000<NA><NA><NA>02-330-8899서대문구2017-12-31
2서대문형무소역사관공립서울특별시 서대문구 통일로251<NA>37.572442126.95954102-360-8590서대문구www.sscmc.or.kr<NA>00:0000:0000:0000:00홈페이지참고300015001000<NA><NA><NA>02-360-8590서대문구2017-12-31
3서울교육박물관공립서울특별시 종로구 북촌로 5길 48<NA>37.581031126.98369402-2011-5780서울특별시특별시교육청http://edumuseum.sen.go.kr<NA>00:0000:0000:0000:00홈페이지참고000<NA><NA><NA>02-2011-5780서울특별시특별시교육청2017-12-31
4서울상상나라공립서울특별시 광진구 능동로 216<NA>37.549458127.08626102-6450-9500서울특별시특별시www.seoulchildrensmuseum.org<NA>00:0000:0000:0000:00홈페이지참고400040004000<NA><NA><NA>02-6450-9500서울특별시특별시2017-12-31
5서울약령시한의약박물관공립서울특별시 동대문구 약령중앙로26<NA>37.580472127.03731702-969-9241동대문구청http://kmedi.ddm.go.kr(서울특별시한방진흥센터)<NA>00:0000:0000:0000:00홈페이지참고유료<NA><NA><NA><NA><NA>02-969-9241동대문구청2017-12-31
6서울역사박물관공립서울특별시 종로구 새문안로 55(신문로2가 2-1)<NA>37.570879126.96882902-724-0274서울특별시특별시www.museum.seoul.kr<NA>00:0000:0000:0000:00홈페이지참고000<NA><NA><NA>02-724-0274서울특별시특별시2017-12-31
7성북선잠박물관공립서울특별시 성북구 성북로 96(성북동)<NA>37.59323126.99821802-744-0027서울특별시특별시 성북구청http://museum.sb.go.kr/<NA>00:0000:0000:0000:00홈페이지참고1000500300<NA><NA><NA>02-744-0027서울특별시특별시 성북구청2018-06-20
8손기정기념관공립서울특별시 중구 손기정로 101<NA>37.555625126.9638902-364-1936서울특별시특별시 중구청www.sonkeechung.com<NA>00:0000:0000:0000:00홈페이지참고000<NA><NA><NA>02-364-1936서울특별시특별시 중구청2017-12-31
9수도박물관공립서울특별시 성동구 왕십리로 27<NA>37.640335126.93800802-3146-5936서울특별시특별시http://arisumuseum.seoul.go.kr<NA>00:0000:0000:0000:00홈페이지참고000<NA><NA><NA>02-3146-5936서울특별시특별시2017-12-31
시설명박물관미술관구분소재지도로명주소소재지지번주소위도경도운영기관전화번호운영기관명운영홈페이지편의시설정보평일관람시작시각평일관람종료시각공휴일관람시작시각공휴일관람종료시각휴관정보어른관람료청소년관람료어린이관람료관람료기타정보박물관미술관소개교통안내정보관리기관전화번호관리기관명데이터기준일자
149유리지공예관사립서울특별시 서초구 중앙로 555<NA><NA><NA>02-578-6663유리지https://yoolizzycraftmuseum.org https://blog.naver.com/yoolizzy https://www.facebook.com/yoolizzymuseum/<NA>00:0000:0000:0000:00홈페이지참고5000<NA><NA><NA><NA><NA>02-578-6663유리지2017-12-31
150일민미술관사립서울특별시 종로구 세종대로 152<NA>37.569824126.97767702-2020-2050(재)일민문화재단www.ilmin.org<NA>00:0000:0000:0000:00홈페이지참고<NA><NA><NA><NA><NA><NA>02-2020-2050(재)일민문화재단2017-12-31
151자하미술관사립서울특별시 종로구 창의문로5가길46<NA>37.589433126.960402-395-3222자하미술관 강종권www.zahamuseum.com<NA>00:0000:0000:0000:00홈페이지참고2000<NA><NA><NA><NA><NA>02-395-3222자하미술관 강종권2017-12-31
152코리아나미술관사립서울특별시 강남구 언주로 827<NA>37.524051127.03278402-547-9177㈜코리아나화장품www.spacec.co.kr<NA>00:0000:0000:0000:00홈페이지참고<NA><NA><NA><NA><NA><NA>02-547-9177㈜코리아나화장품2017-12-31
153토탈미술관사립서울특별시 종로구 평창32길 8<NA>37.611903126.97562102-379-7037노준의www.totalmuseum.org<NA>00:0000:0000:0000:00홈페이지참고300020002000<NA><NA><NA>02-379-7037노준의2017-12-31
154포스코미술관사립서울특별시 강남구 대치4동 892 포스코센터 내<NA>37.505831127.05608802-3457-1665㈜포스코http://www.poscoartmuseum.org/<NA>00:0000:0000:0000:00홈페이지참고<NA><NA><NA><NA><NA><NA>02-3457-1665㈜포스코2017-12-31
155학아재미술관사립서울특별시 종로구 돈화문로 98<NA><NA><NA>02-766-7647김로이www.hagajae.com<NA>00:0000:0000:0000:00홈페이지참고<NA><NA><NA><NA><NA><NA>02-766-7647김로이2017-12-31
156한미사진미술관사립서울특별시 송파구 위례성대로 14 한미타워 19, 20층<NA>37.516608127.1139702-418-1315가현문화재단www.photomuseum.or.kr<NA>00:0000:0000:0000:00홈페이지참고<NA><NA><NA><NA><NA><NA>02-418-1315가현문화재단2017-12-31
157헬로우뮤지움사립서울특별시 성동구 금호로 72<NA>37.507358127.04031202-3217-4222김효정 (김이삭)www.hellomuseum.com<NA>00:0000:0000:0000:00홈페이지참고<NA><NA><NA><NA><NA><NA>02-3217-4222김효정 (김이삭)2017-12-31
158환기미술관사립서울특별시 종로구 자하문로 40길 63<NA>37.594431126.96628902-391-7701(재)환기재단http://whankimuseum.org/<NA>00:0000:0000:0000:00홈페이지참고<NA><NA><NA><NA><NA><NA>02-391-7701(재)환기재단2017-12-31