Overview

Dataset statistics

Number of variables25
Number of observations25
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.2 KiB
Average record size in memory211.3 B

Variable types

Numeric6
Categorical8
Text10
Boolean1

Alerts

menu_cd has constant value ""Constant
lang_cd has constant value ""Constant
ctgry_one_nm has constant value ""Constant
reprsnt_menu_nm has constant value ""Constant
tour_hntip_cn is highly imbalanced (69.6%)Imbalance
tour_etiquette_cn is highly imbalanced (58.9%)Imbalance
oper_pd is highly imbalanced (64.0%)Imbalance
tursm_cntnts_seq_no has unique valuesUnique
main_thumb_url has unique valuesUnique
detail_view_url has unique valuesUnique
cntnts_reprsnt_title_nm has unique valuesUnique
cntnts_reprsnt_subtitl_nm has unique valuesUnique
main_place_nm has unique valuesUnique
trrsrt_la has unique valuesUnique
trrsrt_lo has unique valuesUnique
hashtag_cn has unique valuesUnique
views_co has unique valuesUnique
like_co has 6 (24.0%) zerosZeros
favorite_co has 10 (40.0%) zerosZeros

Reproduction

Analysis started2023-12-10 10:10:35.584565
Analysis finished2023-12-10 10:10:37.155286
Duration1.57 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

tursm_cntnts_seq_no
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean422
Minimum43
Maximum839
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-10T19:10:37.354402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum43
5-th percentile102.4
Q1360
median447
Q3481
95-th percentile528.4
Maximum839
Range796
Interquartile range (IQR)121

Descriptive statistics

Standard deviation150.35126
Coefficient of variation (CV)0.3562826
Kurtosis4.1087621
Mean422
Median Absolute Deviation (MAD)45
Skewness-0.46148248
Sum10550
Variance22605.5
MonotonicityStrictly increasing
2023-12-10T19:10:37.630043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
43 1
 
4.0%
44 1
 
4.0%
839 1
 
4.0%
530 1
 
4.0%
522 1
 
4.0%
495 1
 
4.0%
492 1
 
4.0%
482 1
 
4.0%
481 1
 
4.0%
474 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
43 1
4.0%
44 1
4.0%
336 1
4.0%
338 1
4.0%
339 1
4.0%
341 1
4.0%
360 1
4.0%
401 1
4.0%
428 1
4.0%
429 1
4.0%
ValueCountFrequency (%)
839 1
4.0%
530 1
4.0%
522 1
4.0%
495 1
4.0%
492 1
4.0%
482 1
4.0%
481 1
4.0%
474 1
4.0%
473 1
4.0%
467 1
4.0%

menu_cd
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
DOM_000000202008001000
25 

Length

Max length22
Median length22
Mean length22
Min length22

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowDOM_000000202008001000
2nd rowDOM_000000202008001000
3rd rowDOM_000000202008001000
4th rowDOM_000000202008001000
5th rowDOM_000000202008001000

Common Values

ValueCountFrequency (%)
DOM_000000202008001000 25
100.0%

Length

2023-12-10T19:10:37.868035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:10:38.101671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
dom_000000202008001000 25
100.0%

lang_cd
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
ko
25 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
ko 25
100.0%

Length

2023-12-10T19:10:38.276764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:10:38.433326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ko 25
100.0%

main_thumb_url
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-10T19:10:38.842452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length49
Mean length49
Min length49

Characters and Unicode

Total characters1225
Distinct characters31
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row/uploadImgs/files/cntnts/20191225152141281_thumbL
2nd row/uploadImgs/files/cntnts/20200922114413657_thumbL
3rd row/uploadImgs/files/cntnts/20191227164117189_thumbL
4th row/uploadImgs/files/cntnts/20191227170821497_thumbL
5th row/uploadImgs/files/cntnts/20191227171546642_thumbL
ValueCountFrequency (%)
uploadimgs/files/cntnts/20191225152141281_thumbl 1
 
4.0%
uploadimgs/files/cntnts/20191231183025713_thumbl 1
 
4.0%
uploadimgs/files/cntnts/20200110155525744_thumbl 1
 
4.0%
uploadimgs/files/cntnts/20200110114647029_thumbl 1
 
4.0%
uploadimgs/files/cntnts/20200102110803231_thumbl 1
 
4.0%
uploadimgs/files/cntnts/20200110152742630_thumbl 1
 
4.0%
uploadimgs/files/cntnts/20200101163824503_thumbl 1
 
4.0%
uploadimgs/files/cntnts/20200101163230920_thumbl 1
 
4.0%
uploadimgs/files/cntnts/20200101152554130_thumbl 1
 
4.0%
uploadimgs/files/cntnts/20200101151536599_thumbl 1
 
4.0%
Other values (15) 15
60.0%
2023-12-10T19:10:39.543722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 101
 
8.2%
/ 100
 
8.2%
2 83
 
6.8%
0 80
 
6.5%
t 75
 
6.1%
s 75
 
6.1%
m 50
 
4.1%
u 50
 
4.1%
n 50
 
4.1%
l 50
 
4.1%
Other values (21) 511
41.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 625
51.0%
Decimal Number 425
34.7%
Other Punctuation 100
 
8.2%
Uppercase Letter 50
 
4.1%
Connector Punctuation 25
 
2.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 75
12.0%
s 75
12.0%
m 50
 
8.0%
u 50
 
8.0%
n 50
 
8.0%
l 50
 
8.0%
p 25
 
4.0%
b 25
 
4.0%
h 25
 
4.0%
g 25
 
4.0%
Other values (7) 175
28.0%
Decimal Number
ValueCountFrequency (%)
1 101
23.8%
2 83
19.5%
0 80
18.8%
9 32
 
7.5%
3 31
 
7.3%
5 29
 
6.8%
4 22
 
5.2%
7 20
 
4.7%
6 14
 
3.3%
8 13
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
L 25
50.0%
I 25
50.0%
Other Punctuation
ValueCountFrequency (%)
/ 100
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 675
55.1%
Common 550
44.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 75
 
11.1%
s 75
 
11.1%
m 50
 
7.4%
u 50
 
7.4%
n 50
 
7.4%
l 50
 
7.4%
p 25
 
3.7%
L 25
 
3.7%
b 25
 
3.7%
h 25
 
3.7%
Other values (9) 225
33.3%
Common
ValueCountFrequency (%)
1 101
18.4%
/ 100
18.2%
2 83
15.1%
0 80
14.5%
9 32
 
5.8%
3 31
 
5.6%
5 29
 
5.3%
_ 25
 
4.5%
4 22
 
4.0%
7 20
 
3.6%
Other values (2) 27
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1225
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 101
 
8.2%
/ 100
 
8.2%
2 83
 
6.8%
0 80
 
6.5%
t 75
 
6.1%
s 75
 
6.1%
m 50
 
4.1%
u 50
 
4.1%
n 50
 
4.1%
l 50
 
4.1%
Other values (21) 511
41.7%

detail_view_url
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-10T19:10:40.094179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length87
Median length87
Mean length86.92
Min length86

Characters and Unicode

Total characters2173
Distinct characters42
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st rowhttps://www.visitbusan.net/index.do?menuCd=DOM_000000202008001000&uc_seq=43&lang_cd=ko
2nd rowhttps://www.visitbusan.net/index.do?menuCd=DOM_000000202008001000&uc_seq=44&lang_cd=ko
3rd rowhttps://www.visitbusan.net/index.do?menuCd=DOM_000000202008001000&uc_seq=336&lang_cd=ko
4th rowhttps://www.visitbusan.net/index.do?menuCd=DOM_000000202008001000&uc_seq=338&lang_cd=ko
5th rowhttps://www.visitbusan.net/index.do?menuCd=DOM_000000202008001000&uc_seq=339&lang_cd=ko
ValueCountFrequency (%)
https://www.visitbusan.net/index.do?menucd=dom_000000202008001000&uc_seq=43&lang_cd=ko 1
 
4.0%
https://www.visitbusan.net/index.do?menucd=dom_000000202008001000&uc_seq=448&lang_cd=ko 1
 
4.0%
https://www.visitbusan.net/index.do?menucd=dom_000000202008001000&uc_seq=530&lang_cd=ko 1
 
4.0%
https://www.visitbusan.net/index.do?menucd=dom_000000202008001000&uc_seq=522&lang_cd=ko 1
 
4.0%
https://www.visitbusan.net/index.do?menucd=dom_000000202008001000&uc_seq=495&lang_cd=ko 1
 
4.0%
https://www.visitbusan.net/index.do?menucd=dom_000000202008001000&uc_seq=492&lang_cd=ko 1
 
4.0%
https://www.visitbusan.net/index.do?menucd=dom_000000202008001000&uc_seq=482&lang_cd=ko 1
 
4.0%
https://www.visitbusan.net/index.do?menucd=dom_000000202008001000&uc_seq=481&lang_cd=ko 1
 
4.0%
https://www.visitbusan.net/index.do?menucd=dom_000000202008001000&uc_seq=474&lang_cd=ko 1
 
4.0%
https://www.visitbusan.net/index.do?menucd=dom_000000202008001000&uc_seq=473&lang_cd=ko 1
 
4.0%
Other values (15) 15
60.0%
2023-12-10T19:10:40.895000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 353
 
16.2%
n 125
 
5.8%
t 100
 
4.6%
s 100
 
4.6%
d 100
 
4.6%
e 100
 
4.6%
i 75
 
3.5%
_ 75
 
3.5%
u 75
 
3.5%
= 75
 
3.5%
Other values (32) 995
45.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1150
52.9%
Decimal Number 523
24.1%
Other Punctuation 250
 
11.5%
Uppercase Letter 100
 
4.6%
Connector Punctuation 75
 
3.5%
Math Symbol 75
 
3.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 125
10.9%
t 100
 
8.7%
s 100
 
8.7%
d 100
 
8.7%
e 100
 
8.7%
i 75
 
6.5%
u 75
 
6.5%
w 75
 
6.5%
c 50
 
4.3%
o 50
 
4.3%
Other values (11) 300
26.1%
Decimal Number
ValueCountFrequency (%)
0 353
67.5%
2 56
 
10.7%
8 31
 
5.9%
1 29
 
5.5%
4 24
 
4.6%
3 13
 
2.5%
6 5
 
1.0%
9 5
 
1.0%
7 4
 
0.8%
5 3
 
0.6%
Other Punctuation
ValueCountFrequency (%)
. 75
30.0%
/ 75
30.0%
& 50
20.0%
: 25
 
10.0%
? 25
 
10.0%
Uppercase Letter
ValueCountFrequency (%)
M 25
25.0%
D 25
25.0%
C 25
25.0%
O 25
25.0%
Connector Punctuation
ValueCountFrequency (%)
_ 75
100.0%
Math Symbol
ValueCountFrequency (%)
= 75
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1250
57.5%
Common 923
42.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 125
 
10.0%
t 100
 
8.0%
s 100
 
8.0%
d 100
 
8.0%
e 100
 
8.0%
i 75
 
6.0%
u 75
 
6.0%
w 75
 
6.0%
c 50
 
4.0%
o 50
 
4.0%
Other values (15) 400
32.0%
Common
ValueCountFrequency (%)
0 353
38.2%
_ 75
 
8.1%
= 75
 
8.1%
. 75
 
8.1%
/ 75
 
8.1%
2 56
 
6.1%
& 50
 
5.4%
8 31
 
3.4%
1 29
 
3.1%
: 25
 
2.7%
Other values (7) 79
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2173
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 353
 
16.2%
n 125
 
5.8%
t 100
 
4.6%
s 100
 
4.6%
d 100
 
4.6%
e 100
 
4.6%
i 75
 
3.5%
_ 75
 
3.5%
u 75
 
3.5%
= 75
 
3.5%
Other values (32) 995
45.8%
Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-10T19:10:41.375954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25
Mean length20.24
Min length5

Characters and Unicode

Total characters506
Distinct characters180
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

Unique25 ?
Unique (%)100.0%

Sample

1st row미래를 비추는 거울, 아이들의 공간 키자니아
2nd row직접 만나는 바다 부산아쿠아리움
3rd row낙동강을 따라 떠나는 생태여행, 낙동강생태탐방선
4th row한국 서핑의 시작? 바로 부산 서핑!
5th row패들보드와 함께 발견하는 자연의 경이로움
ValueCountFrequency (%)
부산 5
 
3.8%
어묵 2
 
1.5%
따라 2
 
1.5%
즐겨라 2
 
1.5%
담은 2
 
1.5%
함께 2
 
1.5%
바다와 2
 
1.5%
만드는 2
 
1.5%
한국의 2
 
1.5%
직접 2
 
1.5%
Other values (108) 109
82.6%
2023-12-10T19:10:42.032736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
107
 
21.1%
10
 
2.0%
9
 
1.8%
9
 
1.8%
9
 
1.8%
8
 
1.6%
8
 
1.6%
, 8
 
1.6%
8
 
1.6%
! 7
 
1.4%
Other values (170) 323
63.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 382
75.5%
Space Separator 107
 
21.1%
Other Punctuation 17
 
3.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
10
 
2.6%
9
 
2.4%
9
 
2.4%
9
 
2.4%
8
 
2.1%
8
 
2.1%
8
 
2.1%
7
 
1.8%
7
 
1.8%
6
 
1.6%
Other values (166) 301
78.8%
Other Punctuation
ValueCountFrequency (%)
, 8
47.1%
! 7
41.2%
? 2
 
11.8%
Space Separator
ValueCountFrequency (%)
107
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 382
75.5%
Common 124
 
24.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
10
 
2.6%
9
 
2.4%
9
 
2.4%
9
 
2.4%
8
 
2.1%
8
 
2.1%
8
 
2.1%
7
 
1.8%
7
 
1.8%
6
 
1.6%
Other values (166) 301
78.8%
Common
ValueCountFrequency (%)
107
86.3%
, 8
 
6.5%
! 7
 
5.6%
? 2
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 382
75.5%
ASCII 124
 
24.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
107
86.3%
, 8
 
6.5%
! 7
 
5.6%
? 2
 
1.6%
Hangul
ValueCountFrequency (%)
10
 
2.6%
9
 
2.4%
9
 
2.4%
9
 
2.4%
8
 
2.1%
8
 
2.1%
8
 
2.1%
7
 
1.8%
7
 
1.8%
6
 
1.6%
Other values (166) 301
78.8%
Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-10T19:10:42.617318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length22
Mean length18
Min length4

Characters and Unicode

Total characters450
Distinct characters181
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row어린이 직업체험 놀이터
2nd row도심 속 작은 바다로 가자
3rd row흐르는 물결을 따라 부산을 느끼다
4th row날개를 펴고, 부서지는 하얀 파도 위의 ‘인간 새’가 되어보자.
5th row조용히 파도를 즐기는 가장 아름다운 방법
ValueCountFrequency (%)
부산 4
 
3.3%
함께 2
 
1.6%
도심 2
 
1.6%
2
 
1.6%
섞이는 2
 
1.6%
속에서 2
 
1.6%
즐긴다 1
 
0.8%
투어 1
 
0.8%
실내에서도 1
 
0.8%
짜릿하게 1
 
0.8%
Other values (104) 104
85.2%
2023-12-10T19:10:43.418071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
97
 
21.6%
11
 
2.4%
9
 
2.0%
9
 
2.0%
9
 
2.0%
9
 
2.0%
9
 
2.0%
8
 
1.8%
8
 
1.8%
8
 
1.8%
Other values (171) 273
60.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 344
76.4%
Space Separator 97
 
21.6%
Other Punctuation 6
 
1.3%
Math Symbol 1
 
0.2%
Initial Punctuation 1
 
0.2%
Final Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
11
 
3.2%
9
 
2.6%
9
 
2.6%
9
 
2.6%
9
 
2.6%
9
 
2.6%
8
 
2.3%
8
 
2.3%
8
 
2.3%
7
 
2.0%
Other values (165) 257
74.7%
Other Punctuation
ValueCountFrequency (%)
. 3
50.0%
, 3
50.0%
Space Separator
ValueCountFrequency (%)
97
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
1
100.0%
Final Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 344
76.4%
Common 106
 
23.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
11
 
3.2%
9
 
2.6%
9
 
2.6%
9
 
2.6%
9
 
2.6%
9
 
2.6%
8
 
2.3%
8
 
2.3%
8
 
2.3%
7
 
2.0%
Other values (165) 257
74.7%
Common
ValueCountFrequency (%)
97
91.5%
. 3
 
2.8%
, 3
 
2.8%
~ 1
 
0.9%
1
 
0.9%
1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 344
76.4%
ASCII 104
 
23.1%
Punctuation 2
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
97
93.3%
. 3
 
2.9%
, 3
 
2.9%
~ 1
 
1.0%
Hangul
ValueCountFrequency (%)
11
 
3.2%
9
 
2.6%
9
 
2.6%
9
 
2.6%
9
 
2.6%
9
 
2.6%
8
 
2.3%
8
 
2.3%
8
 
2.3%
7
 
2.0%
Other values (165) 257
74.7%
Punctuation
ValueCountFrequency (%)
1
50.0%
1
50.0%

main_place_nm
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-10T19:10:43.760666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length16
Mean length7.4
Min length2

Characters and Unicode

Total characters185
Distinct characters105
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

Unique25 ?
Unique (%)100.0%

Sample

1st row키자니아
2nd row부산아쿠아리움
3rd row낙동강생태탐방선
4th row서핑
5th row패들보트
ValueCountFrequency (%)
체험 2
 
5.1%
키자니아 1
 
2.6%
힐링 1
 
2.6%
실내에서도 1
 
2.6%
짜릿하게 1
 
2.6%
즐긴다 1
 
2.6%
실내놀이 1
 
2.6%
종결자 1
 
2.6%
온천 1
 
2.6%
부산쿠킹클래스 1
 
2.6%
Other values (28) 28
71.8%
2023-12-10T19:10:44.374521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14
 
7.6%
8
 
4.3%
8
 
4.3%
7
 
3.8%
6
 
3.2%
4
 
2.2%
3
 
1.6%
3
 
1.6%
3
 
1.6%
3
 
1.6%
Other values (95) 126
68.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 169
91.4%
Space Separator 14
 
7.6%
Other Punctuation 2
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8
 
4.7%
8
 
4.7%
7
 
4.1%
6
 
3.6%
4
 
2.4%
3
 
1.8%
3
 
1.8%
3
 
1.8%
3
 
1.8%
3
 
1.8%
Other values (93) 121
71.6%
Space Separator
ValueCountFrequency (%)
14
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 169
91.4%
Common 16
 
8.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8
 
4.7%
8
 
4.7%
7
 
4.1%
6
 
3.6%
4
 
2.4%
3
 
1.8%
3
 
1.8%
3
 
1.8%
3
 
1.8%
3
 
1.8%
Other values (93) 121
71.6%
Common
ValueCountFrequency (%)
14
87.5%
, 2
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 169
91.4%
ASCII 16
 
8.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14
87.5%
, 2
 
12.5%
Hangul
ValueCountFrequency (%)
8
 
4.7%
8
 
4.7%
7
 
4.1%
6
 
3.6%
4
 
2.4%
3
 
1.8%
3
 
1.8%
3
 
1.8%
3
 
1.8%
3
 
1.8%
Other values (93) 121
71.6%

ctgry_one_nm
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
해양체험
25 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
해양체험 25
100.0%

Length

2023-12-10T19:10:44.745151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:10:44.922827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해양체험 25
100.0%

ctgry_two_nm
Categorical

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
역사문화
14 
해양레저
스포츠

Length

Max length4
Median length4
Mean length3.88
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row역사문화
2nd row해양레저
3rd row해양레저
4th row해양레저
5th row해양레저

Common Values

ValueCountFrequency (%)
역사문화 14
56.0%
해양레저 8
32.0%
스포츠 3
 
12.0%

Length

2023-12-10T19:10:45.093159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:10:45.302689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
역사문화 14
56.0%
해양레저 8
32.0%
스포츠 3
 
12.0%

gugun_nm
Categorical

Distinct11
Distinct (%)44.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
해운대구
수영구
중구
동래구
서구
Other values (6)

Length

Max length4
Median length3
Mean length3.12
Min length2

Unique

Unique5 ?
Unique (%)20.0%

Sample

1st row해운대구
2nd row해운대구
3rd row사하구
4th row해운대구
5th row수영구

Common Values

ValueCountFrequency (%)
해운대구 8
32.0%
수영구 3
 
12.0%
중구 3
 
12.0%
동래구 2
 
8.0%
서구 2
 
8.0%
부산진구 2
 
8.0%
사하구 1
 
4.0%
북구 1
 
4.0%
영도구 1
 
4.0%
남구 1
 
4.0%

Length

2023-12-10T19:10:45.502292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
해운대구 8
32.0%
수영구 3
 
12.0%
중구 3
 
12.0%
동래구 2
 
8.0%
서구 2
 
8.0%
부산진구 2
 
8.0%
사하구 1
 
4.0%
북구 1
 
4.0%
영도구 1
 
4.0%
남구 1
 
4.0%

trrsrt_la
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.153539
Minimum35.072613
Maximum35.228443
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-10T19:10:45.730258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.072613
5-th percentile35.094384
Q135.138103
median35.158394
Q335.16993
95-th percentile35.225582
Maximum35.228443
Range0.1558303
Interquartile range (IQR)0.0318265

Descriptive statistics

Standard deviation0.040561565
Coefficient of variation (CV)0.0011538402
Kurtosis-0.064407391
Mean35.153539
Median Absolute Deviation (MAD)0.0184707
Skewness-0.034218291
Sum878.83847
Variance0.0016452406
MonotonicityNot monotonic
2023-12-10T19:10:45.944278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
35.16993 1
 
4.0%
35.1593819 1
 
4.0%
35.169857 1
 
4.0%
35.1837311 1
 
4.0%
35.1466942 1
 
4.0%
35.1002617 1
 
4.0%
35.2249565 1
 
4.0%
35.1768646 1
 
4.0%
35.1012878 1
 
4.0%
35.1584778 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
35.0726128 1
4.0%
35.0929146 1
4.0%
35.1002617 1
4.0%
35.1012535 1
4.0%
35.1012878 1
4.0%
35.1097832 1
4.0%
35.1381035 1
4.0%
35.1466942 1
4.0%
35.1531601 1
4.0%
35.153183 1
4.0%
ValueCountFrequency (%)
35.2284431 1
4.0%
35.2257385 1
4.0%
35.2249565 1
4.0%
35.1837311 1
4.0%
35.178566 1
4.0%
35.1768646 1
4.0%
35.16993 1
4.0%
35.169857 1
4.0%
35.1615257 1
4.0%
35.161274 1
4.0%

trrsrt_lo
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.1238
Minimum128.89934
Maximum129.94913
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-10T19:10:46.185655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.89934
5-th percentile129.00632
Q1129.03232
median129.10725
Q3129.16064
95-th percentile129.19584
Maximum129.94913
Range1.0497894
Interquartile range (IQR)0.1283264

Descriptive statistics

Standard deviation0.18587964
Coefficient of variation (CV)0.0014395459
Kurtosis17.538542
Mean129.1238
Median Absolute Deviation (MAD)0.0634308
Skewness3.8372023
Sum3228.0951
Variance0.034551241
MonotonicityNot monotonic
2023-12-10T19:10:46.427760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
129.128215 1
 
4.0%
129.1610107 1
 
4.0%
129.122818 1
 
4.0%
128.8993378 1
 
4.0%
129.0670624 1
 
4.0%
129.0280457 1
 
4.0%
129.0771942 1
 
4.0%
129.0276794 1
 
4.0%
129.0207214 1
 
4.0%
129.1752777 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
128.8993378 1
4.0%
129.0035095 1
4.0%
129.0175629 1
4.0%
129.0207214 1
4.0%
129.0276794 1
4.0%
129.0280457 1
4.0%
129.0323181 1
4.0%
129.0428009 1
4.0%
129.0611267 1
4.0%
129.0670624 1
4.0%
ValueCountFrequency (%)
129.9491272 1
4.0%
129.1997223 1
4.0%
129.1802979 1
4.0%
129.1752777 1
4.0%
129.1706848 1
4.0%
129.1610107 1
4.0%
129.1606445 1
4.0%
129.1397095 1
4.0%
129.128215 1
4.0%
129.122818 1
4.0%

hashtag_cn
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-10T19:10:46.877135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length142
Median length80
Mean length79.56
Min length43

Characters and Unicode

Total characters1989
Distinct characters245
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

Unique25 ?
Unique (%)100.0%

Sample

1st row#해운대구,#키자니아부산,#부산여행,#KIDZANIA,#어린이체험,#직업체험,#가족체험
2nd row#부산여행,#씨라이프부산아쿠아리움,#아쿠아리움,#해운대가볼만한곳,#실내체험,#부산아쿠아리움,#해운대아쿠아리움,#해운대,#수족관,#이색체험
3rd row#부산,#하단동,#낙동강생태탐방선,#낙동강,#탐방선,#배,#자연,#문화,#힐링,#가족여행,#부산여행
4th row#부산여행,#해양레포츠,#레포츠체험,#이색체험,#수상레포츠,#서핑,#서퍼,#연인과함께,#아이와함께,#송정,#다대포,#광안리,#해운대,#해양레저체험
5th row#부산데이트코스,#광안리해수욕장,#다대포해수욕장,#패들보드,#스탠드업패들보드,#부산패들보드,#부산여행,#해양레포츠,#국내패들보드,#자연,#일출명소,#일몰명소,#해양레저체험
ValueCountFrequency (%)
해운대구,#키자니아부산,#부산여행,#kidzania,#어린이체험,#직업체험,#가족체험 1
 
4.0%
부산여행,#체험여행,#스포츠체험,#이색체험,#태권도,#전통문화,#상설문화,#상설문화관광,#전통문화체험 1
 
4.0%
부산여행,#체험학습,#이색체험,#농장체험,#딸기체험,#블루베리체험,#아이와함께,#가족여행,#친구와함께,#추천여행 1
 
4.0%
역사문화체험,#발효,#전통주,#막걸리,#전통,#발효체험,#전통주체험,#막걸리체험,#누룩체험,#청주체험,#이색체험 1
 
4.0%
부산여행,#부산가볼만한곳,#원데이클래스,#핸드메이드캔들,#캔들체험,#부산캔들,#부산기념품,#이색데이트,#부산바다,#부산을담다,#이색체험,#아이와함께,#연인과함께,#친구와함께 1
 
4.0%
부산여행,#이색체험,#다도,#다도체험,#차,#금강공원,#부산다도체험,#부산체험,#가족여행,#아이와함께,#친구와함께,#문화체험 1
 
4.0%
부산여행,#템플스테이,#백양산,#절,#사찰,#부산템플스테이,#선암사,#힐링,#휴식,#예불,#공양,#차담,#명상,#사색,#이색여행,#추천여행,#가족과함께,#친구와함께,#연인과함께 1
 
4.0%
부산여행,#추천여행,#외국인쿠킹클래스,#한식쿠킹클래스,#이색체험,#친구와함께,#연인과함께,#부산가볼만한곳,#부산요리공방,#부산원데이클래스 1
 
4.0%
부산여행,#부산온천,#온천힐링,#해운대온천,#동래온천,#부산온천여행,#부산힐링,#겨울여행,#추천여행,#가족여행,#부산가볼만한곳 1
 
4.0%
부산가볼만한곳,#실내스포츠,#실내놀이,#볼링,#양궁,#하이클라이밍,#아이스링크,#발탈출,#vr,#축구,#야구,#친구와함께,#연인과함께,#이색체험 1
 
4.0%
Other values (15) 15
60.0%
2023-12-10T19:10:47.847657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
# 307
 
15.4%
, 282
 
14.2%
68
 
3.4%
61
 
3.1%
59
 
3.0%
59
 
3.0%
54
 
2.7%
44
 
2.2%
42
 
2.1%
31
 
1.6%
Other values (235) 982
49.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1379
69.3%
Other Punctuation 589
29.6%
Uppercase Letter 16
 
0.8%
Decimal Number 5
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
68
 
4.9%
61
 
4.4%
59
 
4.3%
59
 
4.3%
54
 
3.9%
44
 
3.2%
42
 
3.0%
31
 
2.2%
31
 
2.2%
26
 
1.9%
Other values (219) 904
65.6%
Uppercase Letter
ValueCountFrequency (%)
M 2
12.5%
T 2
12.5%
B 2
12.5%
I 2
12.5%
A 2
12.5%
R 1
6.2%
V 1
6.2%
D 1
6.2%
K 1
6.2%
Z 1
6.2%
Decimal Number
ValueCountFrequency (%)
1 3
60.0%
0 1
 
20.0%
2 1
 
20.0%
Other Punctuation
ValueCountFrequency (%)
# 307
52.1%
, 282
47.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1379
69.3%
Common 594
29.9%
Latin 16
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
68
 
4.9%
61
 
4.4%
59
 
4.3%
59
 
4.3%
54
 
3.9%
44
 
3.2%
42
 
3.0%
31
 
2.2%
31
 
2.2%
26
 
1.9%
Other values (219) 904
65.6%
Latin
ValueCountFrequency (%)
M 2
12.5%
T 2
12.5%
B 2
12.5%
I 2
12.5%
A 2
12.5%
R 1
6.2%
V 1
6.2%
D 1
6.2%
K 1
6.2%
Z 1
6.2%
Common
ValueCountFrequency (%)
# 307
51.7%
, 282
47.5%
1 3
 
0.5%
0 1
 
0.2%
2 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1379
69.3%
ASCII 610
30.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
# 307
50.3%
, 282
46.2%
1 3
 
0.5%
M 2
 
0.3%
T 2
 
0.3%
B 2
 
0.3%
I 2
 
0.3%
A 2
 
0.3%
0 1
 
0.2%
R 1
 
0.2%
Other values (6) 6
 
1.0%
Hangul
ValueCountFrequency (%)
68
 
4.9%
61
 
4.4%
59
 
4.3%
59
 
4.3%
54
 
3.9%
44
 
3.2%
42
 
3.0%
31
 
2.2%
31
 
2.2%
26
 
1.9%
Other values (219) 904
65.6%

tour_hntip_cn
Categorical

IMBALANCE 

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
N
23 
첫 회원가입을 하면 35% 할인권을 받을 수 있다.해피 포인트카드 할인, 멤버쉽 할인 등이 있으니 알아보고 할인받자.36개월 미만의 유아는 무료 입장이 가능하나 체험은 불가하다.
 
1
다양한 아쿠아리움 공연 프로그램이 있어요(시간 정보 확인)물품보관함 있음(유료)
 
1

Length

Max length99
Median length1
Mean length6.64
Min length1

Unique

Unique2 ?
Unique (%)8.0%

Sample

1st row첫 회원가입을 하면 35% 할인권을 받을 수 있다.해피 포인트카드 할인, 멤버쉽 할인 등이 있으니 알아보고 할인받자.36개월 미만의 유아는 무료 입장이 가능하나 체험은 불가하다.
2nd row다양한 아쿠아리움 공연 프로그램이 있어요(시간 정보 확인)물품보관함 있음(유료)
3rd rowN
4th rowN
5th rowN

Common Values

ValueCountFrequency (%)
N 23
92.0%
첫 회원가입을 하면 35% 할인권을 받을 수 있다.해피 포인트카드 할인, 멤버쉽 할인 등이 있으니 알아보고 할인받자.36개월 미만의 유아는 무료 입장이 가능하나 체험은 불가하다. 1
 
4.0%
다양한 아쿠아리움 공연 프로그램이 있어요(시간 정보 확인)물품보관함 있음(유료) 1
 
4.0%

Length

2023-12-10T19:10:48.067183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:10:48.324764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 23
42.6%
할인 2
 
3.7%
미만의 1
 
1.9%
확인)물품보관함 1
 
1.9%
정보 1
 
1.9%
있어요(시간 1
 
1.9%
프로그램이 1
 
1.9%
공연 1
 
1.9%
아쿠아리움 1
 
1.9%
다양한 1
 
1.9%
Other values (21) 21
38.9%

tour_etiquette_cn
Categorical

IMBALANCE 

Distinct5
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
N
21 
물과 이유식 및 알러지식을 제외한 일체의 음식 반입 제한, 퀵보드 및 인라인 스케이트 반입 제한, 반려동물 입장 불가
 
1
수조는 두드리지 마세요.
 
1
사전 예약 필수기상악화 등의 이유로 운항 취소 가능(취소 시 홈페이지 공고)승선기록부 작성과 안전교육으로 승선 최소 20분 전 도착해주세요
 
1
전화 예약 필수(09:00~17:00)
 
1

Length

Max length77
Median length1
Mean length7.88
Min length1

Unique

Unique4 ?
Unique (%)16.0%

Sample

1st row물과 이유식 및 알러지식을 제외한 일체의 음식 반입 제한, 퀵보드 및 인라인 스케이트 반입 제한, 반려동물 입장 불가
2nd row수조는 두드리지 마세요.
3rd row사전 예약 필수기상악화 등의 이유로 운항 취소 가능(취소 시 홈페이지 공고)승선기록부 작성과 안전교육으로 승선 최소 20분 전 도착해주세요
4th rowN
5th rowN

Common Values

ValueCountFrequency (%)
N 21
84.0%
물과 이유식 및 알러지식을 제외한 일체의 음식 반입 제한, 퀵보드 및 인라인 스케이트 반입 제한, 반려동물 입장 불가 1
 
4.0%
수조는 두드리지 마세요. 1
 
4.0%
사전 예약 필수기상악화 등의 이유로 운항 취소 가능(취소 시 홈페이지 공고)승선기록부 작성과 안전교육으로 승선 최소 20분 전 도착해주세요 1
 
4.0%
전화 예약 필수(09:00~17:00) 1
 
4.0%

Length

2023-12-10T19:10:48.663570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:10:48.882780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 21
33.3%
반입 2
 
3.2%
제한 2
 
3.2%
예약 2
 
3.2%
2
 
3.2%
도착해주세요 1
 
1.6%
공고)승선기록부 1
 
1.6%
이유로 1
 
1.6%
운항 1
 
1.6%
취소 1
 
1.6%
Other values (29) 29
46.0%
Distinct19
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-10T19:10:49.480848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length249
Median length113
Mean length71.4
Min length1

Characters and Unicode

Total characters1785
Distinct characters182
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)72.0%

Sample

1st row도시철도 2호선 센텀시티역 신세계백화점 후문 센텀시티 몰 3번 게이트 입장 버스 5-1, 36, 39, 40, 63, 115 , 139, 141, 155, 181, 307, 1001, 1002 신세계 센텀시티역 하차
2nd row도시철도 2호선 해운대역 지하철 3, 5번 출구 도보 10분버스 139, 307 해운대해수욕장 입구 하차시티투어버스 부산역(레드라인) → 해운대해수욕장 하차주차 SEALIFE 부산아쿠아리움 주차장(유료)
3rd row을숙도사무소(4~10월 운영)도시철도 1호선 하단역 3번 출구 → 58, 58-1, 58-2, 마을버스 강서구20 → 을숙도 휴게소 하차주차 을숙도 공영주차장(유료)화명계류장(11~3월 운영)도시철도 2호선 수정역 3번 출구 도보 15분버스 126, 121, 111, 59, 15 수정역 하차주차 화명수상레포츠타운 주차장
4th row송정해수욕장시내버스 185 → 광어골 입구 하차 도보 3분동해선 송정역 하차 도보 18분
5th row광안리 해양레포츠센터도시철도 2호선 금련산역 하차 도보 10분주차 센터 앞 주차장(무료)다대포 해양레포츠센터도시철도 1호선 다대포해수욕장역 하차 도보 5분주차 다대포해수욕장 공영주차장(유료)
ValueCountFrequency (%)
도보 28
 
7.3%
하차 19
 
5.0%
출구 18
 
4.7%
2호선 11
 
2.9%
도시철도 11
 
2.9%
1호선 7
 
1.8%
n 7
 
1.8%
6
 
1.6%
1번 5
 
1.3%
5번 5
 
1.3%
Other values (195) 265
69.4%
2023-12-10T19:10:50.251437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
357
 
20.0%
1 128
 
7.2%
, 89
 
5.0%
71
 
4.0%
48
 
2.7%
3 45
 
2.5%
0 44
 
2.5%
34
 
1.9%
5 31
 
1.7%
2 31
 
1.7%
Other values (172) 907
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 916
51.3%
Decimal Number 363
 
20.3%
Space Separator 357
 
20.0%
Other Punctuation 90
 
5.0%
Uppercase Letter 14
 
0.8%
Open Punctuation 13
 
0.7%
Close Punctuation 13
 
0.7%
Dash Punctuation 11
 
0.6%
Math Symbol 8
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
71
 
7.8%
48
 
5.2%
34
 
3.7%
30
 
3.3%
28
 
3.1%
28
 
3.1%
27
 
2.9%
26
 
2.8%
26
 
2.8%
23
 
2.5%
Other values (147) 575
62.8%
Decimal Number
ValueCountFrequency (%)
1 128
35.3%
3 45
 
12.4%
0 44
 
12.1%
5 31
 
8.5%
2 31
 
8.5%
6 19
 
5.2%
4 18
 
5.0%
8 17
 
4.7%
7 16
 
4.4%
9 14
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
N 7
50.0%
E 2
 
14.3%
I 1
 
7.1%
S 1
 
7.1%
A 1
 
7.1%
L 1
 
7.1%
F 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 89
98.9%
1
 
1.1%
Math Symbol
ValueCountFrequency (%)
6
75.0%
~ 2
 
25.0%
Space Separator
ValueCountFrequency (%)
357
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 916
51.3%
Common 855
47.9%
Latin 14
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
71
 
7.8%
48
 
5.2%
34
 
3.7%
30
 
3.3%
28
 
3.1%
28
 
3.1%
27
 
2.9%
26
 
2.8%
26
 
2.8%
23
 
2.5%
Other values (147) 575
62.8%
Common
ValueCountFrequency (%)
357
41.8%
1 128
 
15.0%
, 89
 
10.4%
3 45
 
5.3%
0 44
 
5.1%
5 31
 
3.6%
2 31
 
3.6%
6 19
 
2.2%
4 18
 
2.1%
8 17
 
2.0%
Other values (8) 76
 
8.9%
Latin
ValueCountFrequency (%)
N 7
50.0%
E 2
 
14.3%
I 1
 
7.1%
S 1
 
7.1%
A 1
 
7.1%
L 1
 
7.1%
F 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 916
51.3%
ASCII 862
48.3%
Arrows 6
 
0.3%
Punctuation 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
357
41.4%
1 128
 
14.8%
, 89
 
10.3%
3 45
 
5.2%
0 44
 
5.1%
5 31
 
3.6%
2 31
 
3.6%
6 19
 
2.2%
4 18
 
2.1%
8 17
 
2.0%
Other values (13) 83
 
9.6%
Hangul
ValueCountFrequency (%)
71
 
7.8%
48
 
5.2%
34
 
3.7%
30
 
3.3%
28
 
3.1%
28
 
3.1%
27
 
2.9%
26
 
2.8%
26
 
2.8%
23
 
2.5%
Other values (147) 575
62.8%
Arrows
ValueCountFrequency (%)
6
100.0%
Punctuation
ValueCountFrequency (%)
1
100.0%

oper_pd
Categorical

IMBALANCE 

Distinct4
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
N
22 
종일권 : 오전 10시 ~ 저녁 7시 30분 오후권 : 오후 3시 ~ 저녁 7시 30분 5시간권 : 입장 ~ 5시간 이용 (2시 이후 입장 불가)
 
1
09:00 ~ 22:00(입장 21:00)
 
1
수영강상설카약체험장 7월~9월삼락상설카약체험장 7월~10월
 
1

Length

Max length81
Median length1
Mean length6.32
Min length1

Unique

Unique3 ?
Unique (%)12.0%

Sample

1st row종일권 : 오전 10시 ~ 저녁 7시 30분 오후권 : 오후 3시 ~ 저녁 7시 30분 5시간권 : 입장 ~ 5시간 이용 (2시 이후 입장 불가)
2nd row09:00 ~ 22:00(입장 21:00)
3rd rowN
4th rowN
5th rowN

Common Values

ValueCountFrequency (%)
N 22
88.0%
종일권 : 오전 10시 ~ 저녁 7시 30분 오후권 : 오후 3시 ~ 저녁 7시 30분 5시간권 : 입장 ~ 5시간 이용 (2시 이후 입장 불가) 1
 
4.0%
09:00 ~ 22:00(입장 21:00) 1
 
4.0%
수영강상설카약체험장 7월~9월삼락상설카약체험장 7월~10월 1
 
4.0%

Length

2023-12-10T19:10:50.518558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:10:50.700316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 22
40.0%
7
 
12.7%
저녁 2
 
3.6%
30분 2
 
3.6%
7시 2
 
3.6%
입장 2
 
3.6%
10시 1
 
1.8%
오전 1
 
1.8%
7월~9월삼락상설카약체험장 1
 
1.8%
수영강상설카약체험장 1
 
1.8%
Other values (14) 14
25.5%
Distinct13
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-10T19:10:50.930907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length13
Mean length3.96
Min length1

Characters and Unicode

Total characters99
Distinct characters47
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

Unique9 ?
Unique (%)36.0%

Sample

1st row연 1회 시설 보수 및 점검관계로 휴장
2nd row없음
3rd row월요일,화요일
4th rowN
5th rowN
ValueCountFrequency (%)
n 10
27.0%
전화문의 2
 
5.4%
연중무휴 2
 
5.4%
월요일 2
 
5.4%
상이 1
 
2.7%
1
 
2.7%
주막 1
 
2.7%
1
 
2.7%
일요일(체험장 1
 
2.7%
일요일 1
 
2.7%
Other values (15) 15
40.5%
2023-12-10T19:10:51.453312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12
 
12.1%
N 10
 
10.1%
8
 
8.1%
6
 
6.1%
4
 
4.0%
4
 
4.0%
3
 
3.0%
3
 
3.0%
2
 
2.0%
, 2
 
2.0%
Other values (37) 45
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 72
72.7%
Space Separator 12
 
12.1%
Uppercase Letter 10
 
10.1%
Other Punctuation 2
 
2.0%
Open Punctuation 1
 
1.0%
Decimal Number 1
 
1.0%
Close Punctuation 1
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8
 
11.1%
6
 
8.3%
4
 
5.6%
4
 
5.6%
3
 
4.2%
3
 
4.2%
2
 
2.8%
2
 
2.8%
2
 
2.8%
2
 
2.8%
Other values (31) 36
50.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Uppercase Letter
ValueCountFrequency (%)
N 10
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 72
72.7%
Common 17
 
17.2%
Latin 10
 
10.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8
 
11.1%
6
 
8.3%
4
 
5.6%
4
 
5.6%
3
 
4.2%
3
 
4.2%
2
 
2.8%
2
 
2.8%
2
 
2.8%
2
 
2.8%
Other values (31) 36
50.0%
Common
ValueCountFrequency (%)
12
70.6%
, 2
 
11.8%
( 1
 
5.9%
1 1
 
5.9%
) 1
 
5.9%
Latin
ValueCountFrequency (%)
N 10
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 72
72.7%
ASCII 27
 
27.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12
44.4%
N 10
37.0%
, 2
 
7.4%
( 1
 
3.7%
1 1
 
3.7%
) 1
 
3.7%
Hangul
ValueCountFrequency (%)
8
 
11.1%
6
 
8.3%
4
 
5.6%
4
 
5.6%
3
 
4.2%
3
 
4.2%
2
 
2.8%
2
 
2.8%
2
 
2.8%
2
 
2.8%
Other values (31) 36
50.0%
Distinct16
Distinct (%)64.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-10T19:10:51.775067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length22
Mean length11.4
Min length1

Characters and Unicode

Total characters285
Distinct characters76
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

Unique12 ?
Unique (%)48.0%

Sample

1st row월~일
2nd row월~일
3rd row수,목,일 09:30~17:00금,토 09:30~15:00(회차별 출발시간 확인)
4th rowN
5th row각 레포츠센터 홈페이지 참조
ValueCountFrequency (%)
n 7
 
13.5%
참조 4
 
7.7%
홈페이지 3
 
5.8%
상이 2
 
3.8%
전화문의 2
 
3.8%
월~일 2
 
3.8%
프로그램별 2
 
3.8%
10:00 1
 
1.9%
개인(10인 1
 
1.9%
이하 1
 
1.9%
Other values (27) 27
51.9%
2023-12-10T19:10:52.327609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 41
 
14.4%
30
 
10.5%
1 18
 
6.3%
: 18
 
6.3%
~ 16
 
5.6%
8
 
2.8%
8
 
2.8%
N 7
 
2.5%
7
 
2.5%
9 7
 
2.5%
Other values (66) 125
43.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 120
42.1%
Decimal Number 80
28.1%
Space Separator 30
 
10.5%
Other Punctuation 24
 
8.4%
Math Symbol 16
 
5.6%
Uppercase Letter 7
 
2.5%
Close Punctuation 4
 
1.4%
Open Punctuation 4
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8
 
6.7%
8
 
6.7%
7
 
5.8%
6
 
5.0%
4
 
3.3%
4
 
3.3%
4
 
3.3%
4
 
3.3%
4
 
3.3%
4
 
3.3%
Other values (47) 67
55.8%
Decimal Number
ValueCountFrequency (%)
0 41
51.2%
1 18
22.5%
9 7
 
8.8%
3 5
 
6.2%
8 4
 
5.0%
7 2
 
2.5%
2 1
 
1.2%
4 1
 
1.2%
5 1
 
1.2%
Other Punctuation
ValueCountFrequency (%)
: 18
75.0%
, 4
 
16.7%
/ 2
 
8.3%
Close Punctuation
ValueCountFrequency (%)
) 3
75.0%
] 1
 
25.0%
Open Punctuation
ValueCountFrequency (%)
( 3
75.0%
[ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
30
100.0%
Math Symbol
ValueCountFrequency (%)
~ 16
100.0%
Uppercase Letter
ValueCountFrequency (%)
N 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 158
55.4%
Hangul 120
42.1%
Latin 7
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8
 
6.7%
8
 
6.7%
7
 
5.8%
6
 
5.0%
4
 
3.3%
4
 
3.3%
4
 
3.3%
4
 
3.3%
4
 
3.3%
4
 
3.3%
Other values (47) 67
55.8%
Common
ValueCountFrequency (%)
0 41
25.9%
30
19.0%
1 18
11.4%
: 18
11.4%
~ 16
 
10.1%
9 7
 
4.4%
3 5
 
3.2%
, 4
 
2.5%
8 4
 
2.5%
) 3
 
1.9%
Other values (8) 12
 
7.6%
Latin
ValueCountFrequency (%)
N 7
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 165
57.9%
Hangul 120
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 41
24.8%
30
18.2%
1 18
10.9%
: 18
10.9%
~ 16
 
9.7%
N 7
 
4.2%
9 7
 
4.2%
3 5
 
3.0%
, 4
 
2.4%
8 4
 
2.4%
Other values (9) 15
 
9.1%
Hangul
ValueCountFrequency (%)
8
 
6.7%
8
 
6.7%
7
 
5.8%
6
 
5.0%
4
 
3.3%
4
 
3.3%
4
 
3.3%
4
 
3.3%
4
 
3.3%
4
 
3.3%
Other values (47) 67
55.8%
Distinct19
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-10T19:10:52.777259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length90
Median length27
Mean length15.72
Min length1

Characters and Unicode

Total characters393
Distinct characters110
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

Unique17 ?
Unique (%)68.0%

Sample

1st row종일권 : 어린이:59,000원/보호자:19,000원 오후권 : 어린이:36,000원/보호자:16,000원 5시간권 : 어린이:42,000원/보호자:19,000원
2nd row대인 [13세~성인] 29,000원소인 [만3세~12세] 23,000원장애인 17,000원
3rd row연령, 요일, 코스별 상이(홈페이지 참조)
4th row서핑 교육 과정, 장비대여, 시간에 따라 상이
5th row각 레포츠센터 홈페이지 참조
ValueCountFrequency (%)
n 6
 
8.2%
참조 6
 
8.2%
4
 
5.5%
홈페이지 3
 
4.1%
상이 3
 
4.1%
상이(홈페이지 2
 
2.7%
프로그램별 2
 
2.7%
수영강상설카약체험장 1
 
1.4%
무료삼락상설카약체험장 1
 
1.4%
시설사용료 1
 
1.4%
Other values (44) 44
60.3%
2023-12-10T19:10:53.405411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 50
 
12.7%
48
 
12.2%
, 19
 
4.8%
16
 
4.1%
14
 
3.6%
: 9
 
2.3%
1 7
 
1.8%
7
 
1.8%
N 6
 
1.5%
3 6
 
1.5%
Other values (100) 211
53.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 206
52.4%
Decimal Number 85
21.6%
Space Separator 48
 
12.2%
Other Punctuation 31
 
7.9%
Uppercase Letter 9
 
2.3%
Open Punctuation 5
 
1.3%
Close Punctuation 5
 
1.3%
Math Symbol 4
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
16
 
7.8%
14
 
6.8%
7
 
3.4%
6
 
2.9%
6
 
2.9%
6
 
2.9%
6
 
2.9%
6
 
2.9%
6
 
2.9%
5
 
2.4%
Other values (77) 128
62.1%
Decimal Number
ValueCountFrequency (%)
0 50
58.8%
1 7
 
8.2%
3 6
 
7.1%
2 6
 
7.1%
6 4
 
4.7%
9 4
 
4.7%
5 3
 
3.5%
8 2
 
2.4%
4 2
 
2.4%
7 1
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
N 6
66.7%
D 1
 
11.1%
S 1
 
11.1%
U 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
, 19
61.3%
: 9
29.0%
/ 3
 
9.7%
Open Punctuation
ValueCountFrequency (%)
( 3
60.0%
[ 2
40.0%
Close Punctuation
ValueCountFrequency (%)
) 3
60.0%
] 2
40.0%
Space Separator
ValueCountFrequency (%)
48
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 206
52.4%
Common 178
45.3%
Latin 9
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
16
 
7.8%
14
 
6.8%
7
 
3.4%
6
 
2.9%
6
 
2.9%
6
 
2.9%
6
 
2.9%
6
 
2.9%
6
 
2.9%
5
 
2.4%
Other values (77) 128
62.1%
Common
ValueCountFrequency (%)
0 50
28.1%
48
27.0%
, 19
 
10.7%
: 9
 
5.1%
1 7
 
3.9%
3 6
 
3.4%
2 6
 
3.4%
6 4
 
2.2%
~ 4
 
2.2%
9 4
 
2.2%
Other values (9) 21
11.8%
Latin
ValueCountFrequency (%)
N 6
66.7%
D 1
 
11.1%
S 1
 
11.1%
U 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 206
52.4%
ASCII 187
47.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 50
26.7%
48
25.7%
, 19
 
10.2%
: 9
 
4.8%
1 7
 
3.7%
N 6
 
3.2%
3 6
 
3.2%
2 6
 
3.2%
6 4
 
2.1%
~ 4
 
2.1%
Other values (13) 28
15.0%
Hangul
ValueCountFrequency (%)
16
 
7.8%
14
 
6.8%
7
 
3.4%
6
 
2.9%
6
 
2.9%
6
 
2.9%
6
 
2.9%
6
 
2.9%
6
 
2.9%
5
 
2.4%
Other values (77) 128
62.1%

reprsnt_menu_nm
Boolean

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size157.0 B
False
25 
ValueCountFrequency (%)
False 25
100.0%
2023-12-10T19:10:53.640830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

views_co
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1695
Minimum631
Maximum2937
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-10T19:10:53.865738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum631
5-th percentile972.2
Q11313
median1576
Q32176
95-th percentile2542.8
Maximum2937
Range2306
Interquartile range (IQR)863

Descriptive statistics

Standard deviation581.72201
Coefficient of variation (CV)0.34319883
Kurtosis-0.68352721
Mean1695
Median Absolute Deviation (MAD)443
Skewness0.24468132
Sum42375
Variance338400.5
MonotonicityNot monotonic
2023-12-10T19:10:54.141483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
2374 1
 
4.0%
2585 1
 
4.0%
631 1
 
4.0%
1158 1
 
4.0%
1576 1
 
4.0%
1096 1
 
4.0%
1875 1
 
4.0%
972 1
 
4.0%
1313 1
 
4.0%
1359 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
631 1
4.0%
972 1
4.0%
973 1
4.0%
1096 1
4.0%
1158 1
4.0%
1175 1
4.0%
1313 1
4.0%
1346 1
4.0%
1359 1
4.0%
1361 1
4.0%
ValueCountFrequency (%)
2937 1
4.0%
2585 1
4.0%
2374 1
4.0%
2346 1
4.0%
2270 1
4.0%
2178 1
4.0%
2176 1
4.0%
2110 1
4.0%
2019 1
4.0%
1915 1
4.0%

like_co
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.92
Minimum0
Maximum7
Zeros6
Zeros (%)24.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-10T19:10:54.745455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q33
95-th percentile5.8
Maximum7
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.0190757
Coefficient of variation (CV)1.0516019
Kurtosis0.554346
Mean1.92
Median Absolute Deviation (MAD)1
Skewness1.2077209
Sum48
Variance4.0766667
MonotonicityNot monotonic
2023-12-10T19:10:54.935595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 9
36.0%
0 6
24.0%
2 3
 
12.0%
5 2
 
8.0%
3 2
 
8.0%
7 1
 
4.0%
6 1
 
4.0%
4 1
 
4.0%
ValueCountFrequency (%)
0 6
24.0%
1 9
36.0%
2 3
 
12.0%
3 2
 
8.0%
4 1
 
4.0%
5 2
 
8.0%
6 1
 
4.0%
7 1
 
4.0%
ValueCountFrequency (%)
7 1
 
4.0%
6 1
 
4.0%
5 2
 
8.0%
4 1
 
4.0%
3 2
 
8.0%
2 3
 
12.0%
1 9
36.0%
0 6
24.0%

favorite_co
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.16
Minimum0
Maximum6
Zeros10
Zeros (%)40.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-10T19:10:55.132391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile4.6
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.5459625
Coefficient of variation (CV)1.3327263
Kurtosis4.0555819
Mean1.16
Median Absolute Deviation (MAD)1
Skewness1.9901965
Sum29
Variance2.39
MonotonicityNot monotonic
2023-12-10T19:10:55.370862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 10
40.0%
1 9
36.0%
2 3
 
12.0%
5 1
 
4.0%
6 1
 
4.0%
3 1
 
4.0%
ValueCountFrequency (%)
0 10
40.0%
1 9
36.0%
2 3
 
12.0%
3 1
 
4.0%
5 1
 
4.0%
6 1
 
4.0%
ValueCountFrequency (%)
6 1
 
4.0%
5 1
 
4.0%
3 1
 
4.0%
2 3
 
12.0%
1 9
36.0%
0 10
40.0%

Sample

tursm_cntnts_seq_nomenu_cdlang_cdmain_thumb_urldetail_view_urlcntnts_reprsnt_title_nmcntnts_reprsnt_subtitl_nmmain_place_nmctgry_one_nmctgry_two_nmgugun_nmtrrsrt_latrrsrt_lohashtag_cntour_hntip_cntour_etiquette_cntrnsport_guid_cnoper_pdrstde_guid_cnutiliiza_wkday_nd_pdutiliiza_chrge_cnreprsnt_menu_nmviews_colike_cofavorite_co
043DOM_000000202008001000ko/uploadImgs/files/cntnts/20191225152141281_thumbLhttps://www.visitbusan.net/index.do?menuCd=DOM_000000202008001000&uc_seq=43&lang_cd=ko미래를 비추는 거울, 아이들의 공간 키자니아어린이 직업체험 놀이터키자니아해양체험역사문화해운대구35.16993129.128215#해운대구,#키자니아부산,#부산여행,#KIDZANIA,#어린이체험,#직업체험,#가족체험첫 회원가입을 하면 35% 할인권을 받을 수 있다.해피 포인트카드 할인, 멤버쉽 할인 등이 있으니 알아보고 할인받자.36개월 미만의 유아는 무료 입장이 가능하나 체험은 불가하다.물과 이유식 및 알러지식을 제외한 일체의 음식 반입 제한, 퀵보드 및 인라인 스케이트 반입 제한, 반려동물 입장 불가도시철도 2호선 센텀시티역 신세계백화점 후문 센텀시티 몰 3번 게이트 입장 버스 5-1, 36, 39, 40, 63, 115 , 139, 141, 155, 181, 307, 1001, 1002 신세계 센텀시티역 하차종일권 : 오전 10시 ~ 저녁 7시 30분 오후권 : 오후 3시 ~ 저녁 7시 30분 5시간권 : 입장 ~ 5시간 이용 (2시 이후 입장 불가)연 1회 시설 보수 및 점검관계로 휴장월~일종일권 : 어린이:59,000원/보호자:19,000원 오후권 : 어린이:36,000원/보호자:16,000원 5시간권 : 어린이:42,000원/보호자:19,000원N237455
144DOM_000000202008001000ko/uploadImgs/files/cntnts/20200922114413657_thumbLhttps://www.visitbusan.net/index.do?menuCd=DOM_000000202008001000&uc_seq=44&lang_cd=ko직접 만나는 바다 부산아쿠아리움도심 속 작은 바다로 가자부산아쿠아리움해양체험해양레저해운대구35.159382129.161011#부산여행,#씨라이프부산아쿠아리움,#아쿠아리움,#해운대가볼만한곳,#실내체험,#부산아쿠아리움,#해운대아쿠아리움,#해운대,#수족관,#이색체험다양한 아쿠아리움 공연 프로그램이 있어요(시간 정보 확인)물품보관함 있음(유료)수조는 두드리지 마세요.도시철도 2호선 해운대역 지하철 3, 5번 출구 도보 10분버스 139, 307 해운대해수욕장 입구 하차시티투어버스 부산역(레드라인) → 해운대해수욕장 하차주차 SEALIFE 부산아쿠아리움 주차장(유료)09:00 ~ 22:00(입장 21:00)없음월~일대인 [13세~성인] 29,000원소인 [만3세~12세] 23,000원장애인 17,000원N258576
2336DOM_000000202008001000ko/uploadImgs/files/cntnts/20191227164117189_thumbLhttps://www.visitbusan.net/index.do?menuCd=DOM_000000202008001000&uc_seq=336&lang_cd=ko낙동강을 따라 떠나는 생태여행, 낙동강생태탐방선흐르는 물결을 따라 부산을 느끼다낙동강생태탐방선해양체험해양레저사하구35.109783129.949127#부산,#하단동,#낙동강생태탐방선,#낙동강,#탐방선,#배,#자연,#문화,#힐링,#가족여행,#부산여행N사전 예약 필수기상악화 등의 이유로 운항 취소 가능(취소 시 홈페이지 공고)승선기록부 작성과 안전교육으로 승선 최소 20분 전 도착해주세요을숙도사무소(4~10월 운영)도시철도 1호선 하단역 3번 출구 → 58, 58-1, 58-2, 마을버스 강서구20 → 을숙도 휴게소 하차주차 을숙도 공영주차장(유료)화명계류장(11~3월 운영)도시철도 2호선 수정역 3번 출구 도보 15분버스 126, 121, 111, 59, 15 수정역 하차주차 화명수상레포츠타운 주차장N월요일,화요일수,목,일 09:30~17:00금,토 09:30~15:00(회차별 출발시간 확인)연령, 요일, 코스별 상이(홈페이지 참조)N293710
3338DOM_000000202008001000ko/uploadImgs/files/cntnts/20191227170821497_thumbLhttps://www.visitbusan.net/index.do?menuCd=DOM_000000202008001000&uc_seq=338&lang_cd=ko한국 서핑의 시작? 바로 부산 서핑!날개를 펴고, 부서지는 하얀 파도 위의 ‘인간 새’가 되어보자.서핑해양체험해양레저해운대구35.178566129.199722#부산여행,#해양레포츠,#레포츠체험,#이색체험,#수상레포츠,#서핑,#서퍼,#연인과함께,#아이와함께,#송정,#다대포,#광안리,#해운대,#해양레저체험NN송정해수욕장시내버스 185 → 광어골 입구 하차 도보 3분동해선 송정역 하차 도보 18분NNN서핑 교육 과정, 장비대여, 시간에 따라 상이N201962
4339DOM_000000202008001000ko/uploadImgs/files/cntnts/20191227171546642_thumbLhttps://www.visitbusan.net/index.do?menuCd=DOM_000000202008001000&uc_seq=339&lang_cd=ko패들보드와 함께 발견하는 자연의 경이로움조용히 파도를 즐기는 가장 아름다운 방법패들보트해양체험해양레저수영구35.153183129.118988#부산데이트코스,#광안리해수욕장,#다대포해수욕장,#패들보드,#스탠드업패들보드,#부산패들보드,#부산여행,#해양레포츠,#국내패들보드,#자연,#일출명소,#일몰명소,#해양레저체험NN광안리 해양레포츠센터도시철도 2호선 금련산역 하차 도보 10분주차 센터 앞 주차장(무료)다대포 해양레포츠센터도시철도 1호선 다대포해수욕장역 하차 도보 5분주차 다대포해수욕장 공영주차장(유료)NN각 레포츠센터 홈페이지 참조각 레포츠센터 홈페이지 참조N141051
5341DOM_000000202008001000ko/uploadImgs/files/cntnts/20191227173214585_thumbLhttps://www.visitbusan.net/index.do?menuCd=DOM_000000202008001000&uc_seq=341&lang_cd=ko이 맛에 요트 탄다 부산 요트투어요트 위에서 만나는 부산 바다요트투어해양체험해양레저해운대구35.161274129.13971#부산여행,#부산요트,#요트투어,#이색체험,#해양레포츠,#레포츠체험,#가족과함께,#연인과함께,#수영만요트경기장,#다이아몬드베이,#더베이101,#요트클럽,#요트요금,#보트투어,#부산데이트코스,#해양레저체험NNNN업체별 상이업체별 상이업체별 상이N227012
6360DOM_000000202008001000ko/uploadImgs/files/cntnts/20191227203346261_thumbLhttps://www.visitbusan.net/index.do?menuCd=DOM_000000202008001000&uc_seq=360&lang_cd=ko부산 한복체험은 어디에서 하면 되지?한복남 부산타워점한복남 부산타워점해양체험역사문화중구35.101253129.032318#부산여행,#부산명소,#한복체험관,#용두산공원,#아담,#이색체험,#친구와함께,#연인과함께NN도시철도1호선 중앙역 1번 출구 도보 6분버스134, 26, 30, 7, 71, 9, 103, 11, 113, 126, 15 남포동 하차 도보 10분주차 용두산공원 공영주차장(유료)N월요일화~일 10:00~18:00유료(홈페이지 참조)N234610
7401DOM_000000202008001000ko/uploadImgs/files/cntnts/20191230185559349_thumbLhttps://www.visitbusan.net/index.do?menuCd=DOM_000000202008001000&uc_seq=401&lang_cd=ko선상에서 즐겨라! 부산 크루즈 유람선크루즈 유람선크루즈 유람선해양체험해양레저해운대구35.158394129.170685#부산여행,#해양레저,#바다풍경,#이색체험,#가족과함께,#부산데이트코스,#친구와함께,#해운대유람선,#티파니21,#팬스타크루즈,#해운대유람선선착장,#미포유람선선착장,#부산항국제여객터미널,#해양레저체험NNNNNNNN211011
8428DOM_000000202008001000ko/uploadImgs/files/cntnts/20191231100023950_thumbLhttps://www.visitbusan.net/index.do?menuCd=DOM_000000202008001000&uc_seq=428&lang_cd=ko풍류의 고장 동래의 우아함을 담은 동래학춤음악과 소리, 그리고 학춤에 하나로 젖어들다.동래학춤해양체험역사문화동래구35.228443129.085037#부산여행,#이색체험,#역사문화체험,#동래학춤,#춤,#전통춤,#전통무용,#동래NN도시철도 1호선 부산대역 1번 출구 도보 9분버스 8, 100, 100-1, 110, 110-1, 111-1, 131, 144 부산대 후문 하차N전화문의전화문의전화문의N117511
9429DOM_000000202008001000ko/uploadImgs/files/cntnts/20191231100658927_thumbLhttps://www.visitbusan.net/index.do?menuCd=DOM_000000202008001000&uc_seq=429&lang_cd=ko바다와 음악, 버스커와 관객이 만드는 최고의 무대부산 밤바다 버스킹버스킹해양체험역사문화해운대구35.161526129.160644#부산여행,#부산가볼만한곳,#거리공연,#버스킹,#노래,#통기타,#라이브,#연인과함께,#친구와함께,#가족여행,#추천여행,#해운대,#광안리,#밤바다NN해운대해수욕장도시철도 2호선 해운대역 5번 출구 도보 11분버스 139, 307, 1003 해운대해수욕장 하차 도보 2분광안리해수욕장도시철도 2호선 광안역 5번 출구 도보 13분버스 41, 42 광안리해수욕장 하차NN상시무료N191500
tursm_cntnts_seq_nomenu_cdlang_cdmain_thumb_urldetail_view_urlcntnts_reprsnt_title_nmcntnts_reprsnt_subtitl_nmmain_place_nmctgry_one_nmctgry_two_nmgugun_nmtrrsrt_latrrsrt_lohashtag_cntour_hntip_cntour_etiquette_cntrnsport_guid_cnoper_pdrstde_guid_cnutiliiza_wkday_nd_pdutiliiza_chrge_cnreprsnt_menu_nmviews_colike_cofavorite_co
15467DOM_000000202008001000ko/uploadImgs/files/cntnts/20200101141306217_thumbLhttps://www.visitbusan.net/index.do?menuCd=DOM_000000202008001000&uc_seq=467&lang_cd=ko달맞이언덕 갤러리 투어달맞이언덕 갤러리 투어달맞이언덕 갤러리 투어해양체험역사문화해운대구35.155926129.180298#부산여행,#부산갤러리,#달맞이갤러리촌,#해운대,#달맞이고개,#문탠로드,#갤러리조이,#조현화랑,#갤러리이듬,#데이트코스,#연인과함께,#가족여행,#친구와함께,#이색체험,#사계절NNNNNNNN177300
16473DOM_000000202008001000ko/uploadImgs/files/cntnts/20200101151536599_thumbLhttps://www.visitbusan.net/index.do?menuCd=DOM_000000202008001000&uc_seq=473&lang_cd=ko실내에서도 짜릿하게 즐긴다, 실내놀이 종결자실내에서도 짜릿하게 즐긴다, 실내놀이 종결자실내에서도 짜릿하게 즐긴다, 실내놀이 종결자해양체험스포츠부산진구35.156151129.061127#부산가볼만한곳,#실내스포츠,#실내놀이,#볼링,#양궁,#하이클라이밍,#아이스링크,#발탈출,#VR,#축구,#야구,#친구와함께,#연인과함께,#이색체험NNNNNNNN97300
17474DOM_000000202008001000ko/uploadImgs/files/cntnts/20200101152554130_thumbLhttps://www.visitbusan.net/index.do?menuCd=DOM_000000202008001000&uc_seq=474&lang_cd=ko온천 힐링온천 힐링온천 힐링해양체험역사문화해운대구35.158478129.175278#부산여행,#부산온천,#온천힐링,#해운대온천,#동래온천,#부산온천여행,#부산힐링,#겨울여행,#추천여행,#가족여행,#부산가볼만한곳NNNNNNNN135931
18481DOM_000000202008001000ko/uploadImgs/files/cntnts/20200101163230920_thumbLhttps://www.visitbusan.net/index.do?menuCd=DOM_000000202008001000&uc_seq=481&lang_cd=ko직접 만드는 한국의 맛!부산 요리 원데이클래스부산쿠킹클래스해양체험역사문화서구35.101288129.020721#부산여행,#추천여행,#외국인쿠킹클래스,#한식쿠킹클래스,#이색체험,#친구와함께,#연인과함께,#부산가볼만한곳,#부산요리공방,#부산원데이클래스NN도시철도 1호선 토성역 3번 출구 도보 3분버스 16, 70, 123, 161, 190, 1003 부산대학병원(토성역) 하차 도보 1분주차 인근 주차장(유료)N연중무휴10:00~18:3085 USDN131311
19482DOM_000000202008001000ko/uploadImgs/files/cntnts/20200101163824503_thumbLhttps://www.visitbusan.net/index.do?menuCd=DOM_000000202008001000&uc_seq=482&lang_cd=ko일상 속 쉼표를 찍는 시간, 템플스테이속세를 잠시 떠나 나 자신을 만나보자선암사해양체험역사문화부산진구35.176865129.027679#부산여행,#템플스테이,#백양산,#절,#사찰,#부산템플스테이,#선암사,#힐링,#휴식,#예불,#공양,#차담,#명상,#사색,#이색여행,#추천여행,#가족과함께,#친구와함께,#연인과함께NN도시철도 1호선 서면역 9번 출구 → 롯데호텔백화점 맞은편 정류장 버스 17, 23 환승 → 선암사 입구 하차 도보 14분주차 선암사 주차장N연중무휴홈페이지 참조홈페이지 참조N97211
20492DOM_000000202008001000ko/uploadImgs/files/cntnts/20200110152742630_thumbLhttps://www.visitbusan.net/index.do?menuCd=DOM_000000202008001000&uc_seq=492&lang_cd=ko차 한 잔에 여유와 예절을 담아, 다례 체험단순한 음료 이상의 의미가 차 한 잔에 담겨있다.다도체험해양체험역사문화동래구35.224956129.077194#부산여행,#이색체험,#다도,#다도체험,#차,#금강공원,#부산다도체험,#부산체험,#가족여행,#아이와함께,#친구와함께,#문화체험NN도시철도 1호선 온천장역 5번 출구 도보 16분마을버스 동래구1-1 금강식물원 하차N전화문의전화문의20,000원N187521
21495DOM_000000202008001000ko/uploadImgs/files/cntnts/20200102110803231_thumbLhttps://www.visitbusan.net/index.do?menuCd=DOM_000000202008001000&uc_seq=495&lang_cd=ko부산바다를 담은 핸드메이드 캔들바다의 향기는 캔들을 타고~랜드마크프로젝트 부산바다캔들샵해양체험역사문화중구35.100262129.028046#부산여행,#부산가볼만한곳,#원데이클래스,#핸드메이드캔들,#캔들체험,#부산캔들,#부산기념품,#이색데이트,#부산바다,#부산을담다,#이색체험,#아이와함께,#연인과함께,#친구와함께NN도시철도 1호선 자갈치역 7번 출구 도보 5분버스 5-1, 27, 41, 1003, 8, 9, 11, 17, 26, 70, 87, 103, 134, 1000, 1004 남포동 하차 도보 이동주차 인근 공영주차장N월요일화~일요일/11:00~19:00바다를 담다 기념품 6,000원 ~ 20,000원클래스 수강 별도문의N109611
22522DOM_000000202008001000ko/uploadImgs/files/cntnts/20200110114647029_thumbLhttps://www.visitbusan.net/index.do?menuCd=DOM_000000202008001000&uc_seq=522&lang_cd=ko항아리에 담긴 우리의 지혜와 얼, 발효체험섞이는 밥과 누룩처럼 섞이는 손에서 피어나는 정발효체험해양체험역사문화남구35.146694129.067062#역사문화체험,#발효,#전통주,#막걸리,#전통,#발효체험,#전통주체험,#막걸리체험,#누룩체험,#청주체험,#이색체험NN도시철도 2호선 부산국제금융센터‧부산은행역 4번 출구 하차 도보 1분시내버스 138-1, 24, 583 문전교차로 하차N일요일(체험장 내 주막)프로그램별 상이프로그램별 상이N157620
23530DOM_000000202008001000ko/uploadImgs/files/cntnts/20200110155525744_thumbLhttps://www.visitbusan.net/index.do?menuCd=DOM_000000202008001000&uc_seq=530&lang_cd=ko주말 소풍으로 딱 좋은 농장체험농장체험농장체험해양체험역사문화강서구35.183731128.899338#부산여행,#체험학습,#이색체험,#농장체험,#딸기체험,#블루베리체험,#아이와함께,#가족여행,#친구와함께,#추천여행N전화 예약 필수(09:00~17:00)대중교통 없음주차 두루팜 체험농장 주차장NN프로그램별 상이(홈페이지 참조)프로그램별 상이(홈페이지 참조)N115800
24839DOM_000000202008001000ko/uploadImgs/files/cntnts/20200722141011374_thumbLhttps://www.visitbusan.net/index.do?menuCd=DOM_000000202008001000&uc_seq=839&lang_cd=ko강물 따라 유유히 카약을 즐기다카약과 함께 나만의 시원한 여름나기수영강상설카약체험장, 삼락상설카약체험장해양체험해양레저수영구35.169857129.122818#부산여행,#부산가볼만한곳,#부산이색여행,#부산데이트코스,#전망좋은곳,#나홀로여행,#친구와함께,#연인과함께,#아이와함께,#여름여행,#해양레저체험,#스포츠체험,#아이와함께체험,#해양레포츠,#체험학습,#무료체험,#수영강상설카약체험장,#삼락상설카약체험장,#카약NN수영강상설카약체험장 도시철도 2호선 민락역 4번 출구 도보5분(현대아파트 103동 앞)버스 141, 155, 210, 39, 40, 5-1, 63 수영현대아파트(민락역) 하차 도보 5분삼락수상레포츠타운(삼락오토캠핑장 옆)부산김해 경전철 궤법르네시떼역 1번 출구 도보 16분버스 8, 15, 31, 33, 59, 61, 62, 77, 110, 123, 126, 138-1, 160, 161, 169, 338 삼락생태공원 하차주차 삼락생태공원 주차장수영강상설카약체험장 7월~9월삼락상설카약체험장 7월~10월월, 화09:30~18:00 [수~일요일 운영]수영강상설카약체험장 무료삼락상설카약체험장 시설사용료 3000원N63100