Overview

Dataset statistics

Number of variables16
Number of observations1616
Missing cells10596
Missing cells (%)41.0%
Duplicate rows14
Duplicate rows (%)0.9%
Total size in memory203.7 KiB
Average record size in memory129.1 B

Variable types

Text1
Categorical8
Boolean7

Dataset

Description2023년 제주관광정보시스템(VISITJEJU)의 관광지 콘텐츠 정보로 콘텐츠명, 평일오픈시간, 평일클로즈시간, 주말오픈시간, 주말클로즈시간 등의 정보를 제공합니다.
Author제주관광공사
URLhttps://www.data.go.kr/data/15041982/fileData.do

Alerts

Dataset has 14 (0.9%) duplicate rowsDuplicates
평일오픈시간 is highly overall correlated with 평일클로즈시간 and 4 other fieldsHigh correlation
주말클로즈시간 is highly overall correlated with 평일오픈시간 and 3 other fieldsHigh correlation
휴식종료시간 is highly overall correlated with 평일오픈시간 and 4 other fieldsHigh correlation
주말오픈시간 is highly overall correlated with 평일오픈시간 and 5 other fieldsHigh correlation
휴식시작시간 is highly overall correlated with 주말오픈시간 and 1 other fieldsHigh correlation
평일클로즈시간 is highly overall correlated with 평일오픈시간 and 3 other fieldsHigh correlation
장애인엘레베이터 is highly overall correlated with 영유아돌봄시설High correlation
장애인화장실 is highly overall correlated with 장애인화장실유효공간High correlation
장애인화장실유효공간 is highly overall correlated with 장애인화장실High correlation
영유아돌봄시설 is highly overall correlated with 장애인엘레베이터High correlation
안내소접근가능여부 is highly overall correlated with 평일오픈시간 and 1 other fieldsHigh correlation
평일오픈시간 is highly imbalanced (53.8%)Imbalance
평일클로즈시간 is highly imbalanced (51.8%)Imbalance
주말오픈시간 is highly imbalanced (53.4%)Imbalance
주말클로즈시간 is highly imbalanced (52.6%)Imbalance
휴식시작시간 is highly imbalanced (90.5%)Imbalance
휴식종료시간 is highly imbalanced (86.0%)Imbalance
난이도 is highly imbalanced (55.3%)Imbalance
장애인주차구역 is highly imbalanced (55.5%)Imbalance
장애인화장실 is highly imbalanced (58.1%)Imbalance
안내소접근가능여부 is highly imbalanced (54.9%)Imbalance
기타시설 is highly imbalanced (88.4%)Imbalance
장애인주차구역 has 1497 (92.6%) missing valuesMissing
장애인엘레베이터 has 1530 (94.7%) missing valuesMissing
장애인화장실 has 1498 (92.7%) missing valuesMissing
장애인화장실유효공간 has 1500 (92.8%) missing valuesMissing
장애인관람석및열람석 has 1554 (96.2%) missing valuesMissing
영유아돌봄시설 has 1507 (93.3%) missing valuesMissing
안내소접근가능여부 has 1510 (93.4%) missing valuesMissing

Reproduction

Analysis started2024-03-23 06:33:08.508560
Analysis finished2024-03-23 06:33:16.889822
Duration8.38 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

콘텐츠명
Text

Distinct1572
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
2024-03-23T06:33:17.546860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length32
Mean length7.4956683
Min length2

Characters and Unicode

Total characters12113
Distinct characters781
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1555 ?
Unique (%)96.2%

Sample

1st row법화사지
2nd row스쿠버스쿨
3rd row보롬왓
4th row귀빈사
5th row너븐숭이 4.3기념관
ValueCountFrequency (%)
29
 
1.3%
제주올레 27
 
1.2%
제주 17
 
0.8%
야무치 13
 
0.6%
길 9
 
0.4%
순례길 9
 
0.4%
234 9
 
0.4%
농어촌체험마을 9
 
0.4%
옛터 7
 
0.3%
스튜디오 6
 
0.3%
Other values (1935) 2115
94.0%
2024-03-23T06:33:18.975137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
646
 
5.3%
제 276
 
2.3%
오 256
 
2.1%
주 242
 
2.0%
름 221
 
1.8%
이 194
 
1.6%
리 194
 
1.6%
( 179
 
1.5%
) 179
 
1.5%
스 165
 
1.4%
Other values (771) 9561
78.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10165
83.9%
Space Separator 646
 
5.3%
Decimal Number 485
 
4.0%
Lowercase Letter 216
 
1.8%
Open Punctuation 189
 
1.6%
Close Punctuation 189
 
1.6%
Other Punctuation 86
 
0.7%
Uppercase Letter 78
 
0.6%
Dash Punctuation 26
 
0.2%
Control 18
 
0.1%
Other values (2) 15
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 276
 
2.7%
오 256
 
2.5%
주 242
 
2.4%
름 221
 
2.2%
이 194
 
1.9%
리 194
 
1.9%
스 165
 
1.6%
도 139
 
1.4%
마 134
 
1.3%
해 132
 
1.3%
Other values (701) 8212
80.8%
Lowercase Letter
ValueCountFrequency (%)
d 37
17.1%
t 35
16.2%
f 25
11.6%
s 25
11.6%
e 15
6.9%
a 14
 
6.5%
r 12
 
5.6%
w 9
 
4.2%
o 8
 
3.7%
i 7
 
3.2%
Other values (11) 29
13.4%
Uppercase Letter
ValueCountFrequency (%)
T 10
12.8%
E 9
11.5%
A 8
10.3%
V 8
10.3%
C 7
9.0%
N 5
 
6.4%
S 5
 
6.4%
O 4
 
5.1%
U 3
 
3.8%
W 3
 
3.8%
Other values (10) 16
20.5%
Decimal Number
ValueCountFrequency (%)
2 100
20.6%
1 99
20.4%
4 98
20.2%
3 92
19.0%
5 34
 
7.0%
7 28
 
5.8%
9 12
 
2.5%
0 11
 
2.3%
8 6
 
1.2%
6 5
 
1.0%
Other Punctuation
ValueCountFrequency (%)
, 46
53.5%
. 12
 
14.0%
& 11
 
12.8%
/ 5
 
5.8%
· 5
 
5.8%
: 5
 
5.8%
? 1
 
1.2%
@ 1
 
1.2%
Math Symbol
ValueCountFrequency (%)
~ 2
33.3%
< 2
33.3%
> 2
33.3%
Open Punctuation
ValueCountFrequency (%)
( 179
94.7%
[ 10
 
5.3%
Close Punctuation
ValueCountFrequency (%)
) 179
94.7%
] 10
 
5.3%
Space Separator
ValueCountFrequency (%)
646
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Control
ValueCountFrequency (%)
18
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10130
83.6%
Common 1654
 
13.7%
Latin 294
 
2.4%
Han 35
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 276
 
2.7%
오 256
 
2.5%
주 242
 
2.4%
름 221
 
2.2%
이 194
 
1.9%
리 194
 
1.9%
스 165
 
1.6%
도 139
 
1.4%
마 134
 
1.3%
해 132
 
1.3%
Other values (676) 8177
80.7%
Latin
ValueCountFrequency (%)
d 37
 
12.6%
t 35
 
11.9%
f 25
 
8.5%
s 25
 
8.5%
e 15
 
5.1%
a 14
 
4.8%
r 12
 
4.1%
T 10
 
3.4%
E 9
 
3.1%
w 9
 
3.1%
Other values (31) 103
35.0%
Common
ValueCountFrequency (%)
646
39.1%
( 179
 
10.8%
) 179
 
10.8%
2 100
 
6.0%
1 99
 
6.0%
4 98
 
5.9%
3 92
 
5.6%
, 46
 
2.8%
5 34
 
2.1%
7 28
 
1.7%
Other values (19) 153
 
9.3%
Han
ValueCountFrequency (%)
岳 8
22.9%
月 3
 
8.6%
山 2
 
5.7%
坪 1
 
2.9%
板 1
 
2.9%
峰 1
 
2.9%
德 1
 
2.9%
今 1
 
2.9%
古 1
 
2.9%
來 1
 
2.9%
Other values (15) 15
42.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10116
83.5%
ASCII 1943
 
16.0%
CJK 33
 
0.3%
Compat Jamo 14
 
0.1%
None 5
 
< 0.1%
CJK Compat Ideographs 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
646
33.2%
( 179
 
9.2%
) 179
 
9.2%
2 100
 
5.1%
1 99
 
5.1%
4 98
 
5.0%
3 92
 
4.7%
, 46
 
2.4%
d 37
 
1.9%
t 35
 
1.8%
Other values (59) 432
22.2%
Hangul
ValueCountFrequency (%)
제 276
 
2.7%
오 256
 
2.5%
주 242
 
2.4%
름 221
 
2.2%
이 194
 
1.9%
리 194
 
1.9%
스 165
 
1.6%
도 139
 
1.4%
마 134
 
1.3%
해 132
 
1.3%
Other values (670) 8163
80.7%
CJK
ValueCountFrequency (%)
岳 8
24.2%
月 3
 
9.1%
山 2
 
6.1%
坪 1
 
3.0%
板 1
 
3.0%
峰 1
 
3.0%
德 1
 
3.0%
今 1
 
3.0%
古 1
 
3.0%
來 1
 
3.0%
Other values (13) 13
39.4%
None
ValueCountFrequency (%)
· 5
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅇ 5
35.7%
ㄹ 3
21.4%
ㅈ 2
 
14.3%
ㄱ 2
 
14.3%
ㅍ 1
 
7.1%
ㄴ 1
 
7.1%
CJK Compat Ideographs
ValueCountFrequency (%)
鹿 1
50.0%
列 1
50.0%

평일오픈시간
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct38
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
<NA>
863 
09:00
273 
10:00
156 
00:00
100 
09:30
 
43
Other values (33)
181 

Length

Max length5
Median length4
Mean length4.4647277
Min length4

Unique

Unique15 ?
Unique (%)0.9%

Sample

1st row<NA>
2nd row<NA>
3rd row09:00
4th row14:00
5th row09:00

Common Values

ValueCountFrequency (%)
<NA> 863
53.4%
09:00 273
 
16.9%
10:00 156
 
9.7%
00:00 100
 
6.2%
09:30 43
 
2.7%
08:00 40
 
2.5%
11:00 31
 
1.9%
06:00 15
 
0.9%
12:00 12
 
0.7%
08:30 11
 
0.7%
Other values (28) 72
 
4.5%

Length

2024-03-23T06:33:19.509518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 863
53.4%
09:00 273
 
16.9%
10:00 156
 
9.7%
00:00 100
 
6.2%
09:30 43
 
2.7%
08:00 40
 
2.5%
11:00 31
 
1.9%
06:00 15
 
0.9%
12:00 12
 
0.7%
10:30 11
 
0.7%
Other values (28) 72
 
4.5%

평일클로즈시간
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct39
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
<NA>
864 
18:00
251 
00:00
102 
17:00
 
84
19:00
 
84
Other values (34)
231 

Length

Max length5
Median length4
Mean length4.4653465
Min length4

Unique

Unique10 ?
Unique (%)0.6%

Sample

1st row<NA>
2nd row<NA>
3rd row18:00
4th row16:00
5th row18:00

Common Values

ValueCountFrequency (%)
<NA> 864
53.5%
18:00 251
 
15.5%
00:00 102
 
6.3%
17:00 84
 
5.2%
19:00 84
 
5.2%
20:00 55
 
3.4%
22:00 35
 
2.2%
17:30 26
 
1.6%
21:00 20
 
1.2%
18:30 19
 
1.2%
Other values (29) 76
 
4.7%

Length

2024-03-23T06:33:19.980013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 864
53.5%
18:00 251
 
15.5%
00:00 102
 
6.3%
17:00 84
 
5.2%
19:00 84
 
5.2%
20:00 55
 
3.4%
22:00 35
 
2.2%
17:30 26
 
1.6%
21:00 20
 
1.2%
18:30 19
 
1.2%
Other values (29) 76
 
4.7%

주말오픈시간
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct32
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
<NA>
890 
09:00
254 
10:00
161 
00:00
101 
09:30
 
44
Other values (27)
166 

Length

Max length5
Median length4
Mean length4.4486386
Min length4

Unique

Unique13 ?
Unique (%)0.8%

Sample

1st row<NA>
2nd row<NA>
3rd row09:00
4th row<NA>
5th row09:00

Common Values

ValueCountFrequency (%)
<NA> 890
55.1%
09:00 254
 
15.7%
10:00 161
 
10.0%
00:00 101
 
6.2%
09:30 44
 
2.7%
08:00 39
 
2.4%
11:00 33
 
2.0%
06:00 14
 
0.9%
10:30 11
 
0.7%
08:30 11
 
0.7%
Other values (22) 58
 
3.6%

Length

2024-03-23T06:33:20.647302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 890
55.1%
09:00 254
 
15.7%
10:00 161
 
10.0%
00:00 101
 
6.2%
09:30 44
 
2.7%
08:00 39
 
2.4%
11:00 33
 
2.0%
06:00 14
 
0.9%
08:30 11
 
0.7%
10:30 11
 
0.7%
Other values (22) 58
 
3.6%

주말클로즈시간
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct37
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
<NA>
891 
18:00
243 
00:00
108 
17:00
 
81
19:00
 
81
Other values (32)
212 

Length

Max length5
Median length4
Mean length4.4486386
Min length4

Unique

Unique12 ?
Unique (%)0.7%

Sample

1st row<NA>
2nd row<NA>
3rd row18:00
4th row<NA>
5th row18:00

Common Values

ValueCountFrequency (%)
<NA> 891
55.1%
18:00 243
 
15.0%
00:00 108
 
6.7%
17:00 81
 
5.0%
19:00 81
 
5.0%
20:00 53
 
3.3%
22:00 31
 
1.9%
17:30 25
 
1.5%
18:30 15
 
0.9%
21:00 13
 
0.8%
Other values (27) 75
 
4.6%

Length

2024-03-23T06:33:21.249022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 891
55.1%
18:00 243
 
15.0%
00:00 108
 
6.7%
17:00 81
 
5.0%
19:00 81
 
5.0%
20:00 53
 
3.3%
22:00 31
 
1.9%
17:30 25
 
1.5%
18:30 15
 
0.9%
21:00 13
 
0.8%
Other values (27) 75
 
4.6%

휴식시작시간
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
<NA>
1584 
00:00
 
28
01:30
 
4

Length

Max length5
Median length4
Mean length4.019802
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1584
98.0%
00:00 28
 
1.7%
01:30 4
 
0.2%

Length

2024-03-23T06:33:21.912883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T06:33:22.261197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1584
98.0%
00:00 28
 
1.7%
01:30 4
 
0.2%

휴식종료시간
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
<NA>
1584 
00:00
 
32

Length

Max length5
Median length4
Mean length4.019802
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1584
98.0%
00:00 32
 
2.0%

Length

2024-03-23T06:33:22.664943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T06:33:23.106956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1584
98.0%
00:00 32
 
2.0%

난이도
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
<NA>
1331 
1
153 
2
 
114
3
 
18

Length

Max length4
Median length4
Mean length3.4709158
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row1

Common Values

ValueCountFrequency (%)
<NA> 1331
82.4%
1 153
 
9.5%
2 114
 
7.1%
3 18
 
1.1%

Length

2024-03-23T06:33:23.589340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T06:33:24.033679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1331
82.4%
1 153
 
9.5%
2 114
 
7.1%
3 18
 
1.1%

장애인주차구역
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)1.7%
Missing1497
Missing (%)92.6%
Memory size3.3 KiB
True
 
108
False
 
11
(Missing)
1497 
ValueCountFrequency (%)
True 108
 
6.7%
False 11
 
0.7%
(Missing) 1497
92.6%
2024-03-23T06:33:24.476706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

장애인엘레베이터
Boolean

HIGH CORRELATION  MISSING 

Distinct2
Distinct (%)2.3%
Missing1530
Missing (%)94.7%
Memory size3.3 KiB
True
 
45
False
 
41
(Missing)
1530 
ValueCountFrequency (%)
True 45
 
2.8%
False 41
 
2.5%
(Missing) 1530
94.7%
2024-03-23T06:33:24.861126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

장애인화장실
Boolean

HIGH CORRELATION  IMBALANCE  MISSING 

Distinct2
Distinct (%)1.7%
Missing1498
Missing (%)92.7%
Memory size3.3 KiB
True
 
108
False
 
10
(Missing)
1498 
ValueCountFrequency (%)
True 108
 
6.7%
False 10
 
0.6%
(Missing) 1498
92.7%
2024-03-23T06:33:25.157458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

장애인화장실유효공간
Boolean

HIGH CORRELATION  MISSING 

Distinct2
Distinct (%)1.7%
Missing1500
Missing (%)92.8%
Memory size3.3 KiB
True
 
96
False
 
20
(Missing)
1500 
ValueCountFrequency (%)
True 96
 
5.9%
False 20
 
1.2%
(Missing) 1500
92.8%
2024-03-23T06:33:25.432019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

장애인관람석및열람석
Boolean

MISSING 

Distinct2
Distinct (%)3.2%
Missing1554
Missing (%)96.2%
Memory size3.3 KiB
False
 
47
True
 
15
(Missing)
1554 
ValueCountFrequency (%)
False 47
 
2.9%
True 15
 
0.9%
(Missing) 1554
96.2%
2024-03-23T06:33:25.840221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

영유아돌봄시설
Boolean

HIGH CORRELATION  MISSING 

Distinct2
Distinct (%)1.8%
Missing1507
Missing (%)93.3%
Memory size3.3 KiB
False
 
79
True
 
30
(Missing)
1507 
ValueCountFrequency (%)
False 79
 
4.9%
True 30
 
1.9%
(Missing) 1507
93.3%
2024-03-23T06:33:26.196975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

안내소접근가능여부
Boolean

HIGH CORRELATION  IMBALANCE  MISSING 

Distinct2
Distinct (%)1.9%
Missing1510
Missing (%)93.4%
Memory size3.3 KiB
True
 
96
False
 
10
(Missing)
1510 
ValueCountFrequency (%)
True 96
 
5.9%
False 10
 
0.6%
(Missing) 1510
93.4%
2024-03-23T06:33:26.517028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

기타시설
Categorical

IMBALANCE 

Distinct25
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
<NA>
1517 
휠체어, 유모차
 
34
휠체어, 유모차,
 
12
-
 
10
휠체어, 유모차 등
 
10
Other values (20)
 
33

Length

Max length81
Median length4
Mean length4.3434406
Min length1

Unique

Unique17 ?
Unique (%)1.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row휠체어, 유모차,

Common Values

ValueCountFrequency (%)
<NA> 1517
93.9%
휠체어, 유모차 34
 
2.1%
휠체어, 유모차, 12
 
0.7%
- 10
 
0.6%
휠체어, 유모차 등 10
 
0.6%
휠체어 9
 
0.6%
휠체어, 유모차, 5
 
0.3%
■ 휠체어, ■ 유모차 2
 
0.1%
x 1
 
0.1%
유모차 1
 
0.1%
Other values (15) 15
 
0.9%

Length

2024-03-23T06:33:26.966903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1517
86.7%
휠체어 79
 
4.5%
유모차 69
 
3.9%
등 13
 
0.7%
11
 
0.6%
■ 9
 
0.5%
■유모차 4
 
0.2%
레스토랑 3
 
0.2%
기념품점 3
 
0.2%
■휠체어 2
 
0.1%
Other values (38) 39
 
2.2%

Correlations

2024-03-23T06:33:27.275487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
평일오픈시간평일클로즈시간주말오픈시간주말클로즈시간휴식시작시간난이도장애인주차구역장애인엘레베이터장애인화장실장애인화장실유효공간장애인관람석및열람석영유아돌봄시설안내소접근가능여부기타시설
평일오픈시간1.0000.9740.9970.9590.0000.6300.5030.2450.0000.0000.3960.3770.7410.145
평일클로즈시간0.9741.0000.9570.9990.0000.6010.4870.3390.0000.0000.0000.0000.2650.000
주말오픈시간0.9970.9571.0000.9621.0000.4970.5030.2450.0000.0000.3960.3770.7410.145
주말클로즈시간0.9590.9990.9621.0000.0000.5560.4870.3390.0000.0000.0000.0000.2650.000
휴식시작시간0.0000.0001.0000.0001.000NaNNaNNaNNaNNaNNaNNaNNaNNaN
난이도0.6300.6010.4970.556NaN1.0000.1450.2170.0000.0000.0750.0000.1660.000
장애인주차구역0.5030.4870.5030.487NaN0.1451.0000.0000.2090.0000.0000.0710.2550.000
장애인엘레베이터0.2450.3390.2450.339NaN0.2170.0001.0000.4550.3790.4170.7660.2120.258
장애인화장실0.0000.0000.0000.000NaN0.0000.2090.4551.0000.8510.1010.2050.0000.000
장애인화장실유효공간0.0000.0000.0000.000NaN0.0000.0000.3790.8511.0000.0000.1820.0000.329
장애인관람석및열람석0.3960.0000.3960.000NaN0.0750.0000.4170.1010.0001.0000.3970.0000.409
영유아돌봄시설0.3770.0000.3770.000NaN0.0000.0710.7660.2050.1820.3971.0000.0280.198
안내소접근가능여부0.7410.2650.7410.265NaN0.1660.2550.2120.0000.0000.0000.0281.0000.000
기타시설0.1450.0000.1450.000NaN0.0000.0000.2580.0000.3290.4090.1980.0001.000
2024-03-23T06:33:27.876995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
난이도장애인주차구역안내소접근가능여부평일오픈시간주말클로즈시간장애인엘레베이터장애인화장실휴식종료시간주말오픈시간휴식시작시간영유아돌봄시설기타시설장애인관람석및열람석평일클로즈시간장애인화장실유효공간
난이도1.0000.2380.2720.3560.3350.3530.000NaN0.305NaN0.0000.0000.1190.3720.000
장애인주차구역0.2381.0000.1640.4420.4460.0000.134NaN0.442NaN0.0440.0000.0000.4460.000
안내소접근가능여부0.2720.1641.0000.5550.2380.1350.000NaN0.555NaN0.0150.0000.0000.2380.000
평일오픈시간0.3560.4420.5551.0000.5590.2170.0001.0000.9110.0000.2740.0000.3660.6240.000
주말클로즈시간0.3350.4460.2380.5591.0000.2430.0001.0000.5850.0000.0000.0000.0000.8670.000
장애인엘레베이터0.3530.0000.1350.2170.2431.0000.301NaN0.217NaN0.5550.1870.2730.2430.247
장애인화장실0.0000.1340.0000.0000.0000.3011.000NaN0.000NaN0.1310.0000.0620.0000.648
휴식종료시간NaNNaNNaN1.0001.000NaNNaN1.0001.0001.000NaNNaNNaN1.000NaN
주말오픈시간0.3050.4420.5550.9110.5850.2170.0001.0001.0000.9830.2740.0000.3660.5630.000
휴식시작시간NaNNaNNaN0.0000.000NaNNaN1.0000.9831.000NaNNaNNaN0.000NaN
영유아돌봄시설0.0000.0440.0150.2740.0000.5550.131NaN0.274NaN1.0000.1480.2600.0000.116
기타시설0.0000.0000.0000.0000.0000.1870.000NaN0.000NaN0.1481.0000.3070.0000.249
장애인관람석및열람석0.1190.0000.0000.3660.0000.2730.062NaN0.366NaN0.2600.3071.0000.0000.000
평일클로즈시간0.3720.4460.2380.6240.8670.2430.0001.0000.5630.0000.0000.0000.0001.0000.000
장애인화장실유효공간0.0000.0000.0000.0000.0000.2470.648NaN0.000NaN0.1160.2490.0000.0001.000
2024-03-23T06:33:28.416447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
평일오픈시간평일클로즈시간주말오픈시간주말클로즈시간휴식시작시간휴식종료시간난이도장애인주차구역장애인엘레베이터장애인화장실장애인화장실유효공간장애인관람석및열람석영유아돌봄시설안내소접근가능여부기타시설
평일오픈시간1.0000.6240.9110.5590.0001.0000.3560.4420.2170.0000.0000.3660.2740.5550.000
평일클로즈시간0.6241.0000.5630.8670.0001.0000.3720.4460.2430.0000.0000.0000.0000.2380.000
주말오픈시간0.9110.5631.0000.5850.9831.0000.3050.4420.2170.0000.0000.3660.2740.5550.000
주말클로즈시간0.5590.8670.5851.0000.0001.0000.3350.4460.2430.0000.0000.0000.0000.2380.000
휴식시작시간0.0000.0000.9830.0001.0001.000NaN0.0000.0000.0000.0000.0000.0000.0000.000
휴식종료시간1.0001.0001.0001.0001.0001.000NaN0.0000.0000.0000.0000.0000.0000.0000.000
난이도0.3560.3720.3050.335NaNNaN1.0000.2380.3530.0000.0000.1190.0000.2720.000
장애인주차구역0.4420.4460.4420.4460.0000.0000.2381.0000.0000.1340.0000.0000.0440.1640.000
장애인엘레베이터0.2170.2430.2170.2430.0000.0000.3530.0001.0000.3010.2470.2730.5550.1350.187
장애인화장실0.0000.0000.0000.0000.0000.0000.0000.1340.3011.0000.6480.0620.1310.0000.000
장애인화장실유효공간0.0000.0000.0000.0000.0000.0000.0000.0000.2470.6481.0000.0000.1160.0000.249
장애인관람석및열람석0.3660.0000.3660.0000.0000.0000.1190.0000.2730.0620.0001.0000.2600.0000.307
영유아돌봄시설0.2740.0000.2740.0000.0000.0000.0000.0440.5550.1310.1160.2601.0000.0150.148
안내소접근가능여부0.5550.2380.5550.2380.0000.0000.2720.1640.1350.0000.0000.0000.0151.0000.000
기타시설0.0000.0000.0000.0000.0000.0000.0000.0000.1870.0000.2490.3070.1480.0001.000

Missing values

2024-03-23T06:33:14.194143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T06:33:15.121914image/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.
2024-03-23T06:33:16.255160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

콘텐츠명평일오픈시간평일클로즈시간주말오픈시간주말클로즈시간휴식시작시간휴식종료시간난이도장애인주차구역장애인엘레베이터장애인화장실장애인화장실유효공간장애인관람석및열람석영유아돌봄시설안내소접근가능여부기타시설
0법화사지<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1스쿠버스쿨<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2보롬왓09:0018:0009:0018:00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3귀빈사14:0016:00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4너븐숭이 4.3기념관09:0018:0009:0018:00<NA><NA>1yyyyyyy휠체어, 유모차,
5천지연폭포09:0022:0009:0022:00<NA><NA>2ynyynny휠체어, 유모차
6제주프린지페스티벌<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7방주오름 (방지오름, 방제오름)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8묵리처녀당<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9서귀포자연휴양림09:0018:0009:0018:00<NA><NA>2y<NA>yy<NA>nn휠체어, 유모차
콘텐츠명평일오픈시간평일클로즈시간주말오픈시간주말클로즈시간휴식시작시간휴식종료시간난이도장애인주차구역장애인엘레베이터장애인화장실장애인화장실유효공간장애인관람석및열람석영유아돌봄시설안내소접근가능여부기타시설
1606사려니팜11:0018:0011:0018:00<NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA>
1607가시림09:0017:0009:0017:00<NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA>
1608쇠소깍산물관광농원09:0018:0009:0018:00<NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA>
1609뒹굴개08:0019:0008:0019:00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1610제주애견학교08:0018:0008:0018:00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1611퓸퓸몽10:0020:0010:0020:00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1612해피애견놀이방07:3019:3007:3019:30<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1613무지개요트09:0020:0009:0020:00<NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA>
1614제주홀릭뮤지엄09:3018:0009:3018:00<NA><NA>2<NA><NA><NA><NA><NA><NA><NA><NA>
1615제주홀릭뮤지엄09:3018:0009:3018:00<NA><NA>2<NA><NA><NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

콘텐츠명평일오픈시간평일클로즈시간주말오픈시간주말클로즈시간휴식시작시간휴식종료시간난이도장애인주차구역장애인엘레베이터장애인화장실장애인화장실유효공간장애인관람석및열람석영유아돌봄시설안내소접근가능여부기타시설# duplicates
10야무치00:0000:0000:0000:0000:0000:00<NA><NA><NA><NA><NA><NA><NA><NA><NA>10
123400:0000:0000:0000:0000:0000:00<NA><NA><NA><NA><NA><NA><NA><NA><NA>8
423424242400:0000:0000:0000:00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>5
523432423424200:0000:0000:0000:00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>5
8dfdsfs00:0000:0001:3000:0001:3000:00<NA><NA><NA><NA><NA><NA><NA><NA><NA>4
623454334500:0000:0000:0000:00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3
11야무치 코퍼레이션00:0000:0000:0000:0000:0000:00<NA><NA><NA><NA><NA><NA><NA><NA><NA>3
0111111111111111111111100:0000:0000:0000:0000:0000:00<NA><NA><NA><NA><NA><NA><NA><NA><NA>2
223423400:0000:0000:0000:00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2
3234234200:0000:0000:0000:00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2