Overview

Dataset statistics

Number of variables25
Number of observations100
Missing cells313
Missing cells (%)12.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory20.2 KiB
Average record size in memory207.3 B

Variable types

Numeric6
Categorical7
Text11
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
utiliiza_chrge_cn is highly imbalanced (54.0%)Imbalance
tour_hntip_cn has 53 (53.0%) missing valuesMissing
tour_etiquette_cn has 59 (59.0%) missing valuesMissing
oper_pd has 94 (94.0%) missing valuesMissing
utiliiza_wkday_nd_pd has 7 (7.0%) missing valuesMissing
reprsnt_menu_nm has 99 (99.0%) missing valuesMissing
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
trrsrt_la has unique valuesUnique
trrsrt_lo has unique valuesUnique
hashtag_cn has unique valuesUnique
views_co has unique valuesUnique
like_co has 19 (19.0%) zerosZeros
favorite_co has 33 (33.0%) zerosZeros

Reproduction

Analysis started2023-12-10 09:43:22.202946
Analysis finished2023-12-10 09:43:24.391978
Duration2.19 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

tursm_cntnts_seq_no
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean359.3
Minimum255
Maximum876
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:43:24.502424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum255
5-th percentile260.95
Q1284.25
median343.5
Q3410.5
95-th percentile464
Maximum876
Range621
Interquartile range (IQR)126.25

Descriptive statistics

Standard deviation109.29383
Coefficient of variation (CV)0.30418545
Kurtosis10.775864
Mean359.3
Median Absolute Deviation (MAD)62
Skewness2.8181967
Sum35930
Variance11945.141
MonotonicityNot monotonic
2023-12-10T18:43:24.737941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
255 1
 
1.0%
365 1
 
1.0%
396 1
 
1.0%
377 1
 
1.0%
373 1
 
1.0%
372 1
 
1.0%
371 1
 
1.0%
370 1
 
1.0%
369 1
 
1.0%
368 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
255 1
1.0%
257 1
1.0%
258 1
1.0%
259 1
1.0%
260 1
1.0%
261 1
1.0%
264 1
1.0%
265 1
1.0%
266 1
1.0%
267 1
1.0%
ValueCountFrequency (%)
876 1
1.0%
848 1
1.0%
838 1
1.0%
501 1
1.0%
483 1
1.0%
463 1
1.0%
459 1
1.0%
458 1
1.0%
457 1
1.0%
456 1
1.0%

menu_cd
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
DOM_000000201001001000
100 

Length

Max length22
Median length22
Mean length22
Min length22

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowDOM_000000201001001000
2nd rowDOM_000000201001001000
3rd rowDOM_000000201001001000
4th rowDOM_000000201001001000
5th rowDOM_000000201001001000

Common Values

ValueCountFrequency (%)
DOM_000000201001001000 100
100.0%

Length

2023-12-10T18:43:24.915472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:43:25.067019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
dom_000000201001001000 100
100.0%

lang_cd
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
ko
100 

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 100
100.0%

Length

2023-12-10T18:43:25.214725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:43:25.388937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ko 100
100.0%

main_thumb_url
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T18:43:25.790670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length49
Mean length49
Min length49

Characters and Unicode

Total characters4900
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

Unique100 ?
Unique (%)100.0%

Sample

1st row/uploadImgs/files/cntnts/20191222164810529_thumbL
2nd row/uploadImgs/files/cntnts/20200722140028489_thumbL
3rd row/uploadImgs/files/cntnts/20191222175627506_thumbL
4th row/uploadImgs/files/cntnts/20191222180829962_thumbL
5th row/uploadImgs/files/cntnts/20191222181829937_thumbL
ValueCountFrequency (%)
uploadimgs/files/cntnts/20191222164810529_thumbl 1
 
1.0%
uploadimgs/files/cntnts/20191227204420832_thumbl 1
 
1.0%
uploadimgs/files/cntnts/20191229160529389_thumbl 1
 
1.0%
uploadimgs/files/cntnts/20191229153530528_thumbl 1
 
1.0%
uploadimgs/files/cntnts/20191229152254942_thumbl 1
 
1.0%
uploadimgs/files/cntnts/20191229151710512_thumbl 1
 
1.0%
uploadimgs/files/cntnts/20191229150845004_thumbl 1
 
1.0%
uploadimgs/files/cntnts/20191229150331682_thumbl 1
 
1.0%
uploadimgs/files/cntnts/20191229145728609_thumbl 1
 
1.0%
uploadimgs/files/cntnts/20191229144834500_thumbl 1
 
1.0%
Other values (90) 90
90.0%
2023-12-10T18:43:26.386813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 400
 
8.2%
2 383
 
7.8%
1 376
 
7.7%
t 300
 
6.1%
s 300
 
6.1%
0 218
 
4.4%
m 200
 
4.1%
u 200
 
4.1%
n 200
 
4.1%
l 200
 
4.1%
Other values (21) 2123
43.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2500
51.0%
Decimal Number 1700
34.7%
Other Punctuation 400
 
8.2%
Uppercase Letter 200
 
4.1%
Connector Punctuation 100
 
2.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 300
12.0%
s 300
12.0%
m 200
 
8.0%
u 200
 
8.0%
n 200
 
8.0%
l 200
 
8.0%
p 100
 
4.0%
b 100
 
4.0%
h 100
 
4.0%
g 100
 
4.0%
Other values (7) 700
28.0%
Decimal Number
ValueCountFrequency (%)
2 383
22.5%
1 376
22.1%
0 218
12.8%
9 176
10.4%
5 126
 
7.4%
3 116
 
6.8%
6 80
 
4.7%
7 77
 
4.5%
4 74
 
4.4%
8 74
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
L 100
50.0%
I 100
50.0%
Other Punctuation
ValueCountFrequency (%)
/ 400
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 100
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2700
55.1%
Common 2200
44.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 300
 
11.1%
s 300
 
11.1%
m 200
 
7.4%
u 200
 
7.4%
n 200
 
7.4%
l 200
 
7.4%
p 100
 
3.7%
L 100
 
3.7%
b 100
 
3.7%
h 100
 
3.7%
Other values (9) 900
33.3%
Common
ValueCountFrequency (%)
/ 400
18.2%
2 383
17.4%
1 376
17.1%
0 218
9.9%
9 176
8.0%
5 126
 
5.7%
3 116
 
5.3%
_ 100
 
4.5%
6 80
 
3.6%
7 77
 
3.5%
Other values (2) 148
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4900
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 400
 
8.2%
2 383
 
7.8%
1 376
 
7.7%
t 300
 
6.1%
s 300
 
6.1%
0 218
 
4.4%
m 200
 
4.1%
u 200
 
4.1%
n 200
 
4.1%
l 200
 
4.1%
Other values (21) 2123
43.3%

detail_view_url
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T18:43:27.072032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length87
Median length87
Mean length86.96
Min length83

Characters and Unicode

Total characters8696
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

Unique100 ?
Unique (%)100.0%

Sample

1st rowhttps://www.visitbusan.net/index.do?menuCd=DOM_000000201001001000&uc_seq=255&lang_cd=ko
2nd rowhttps://www.visitbusan.net/index.do?menuCd=DOM_000000201001001000&uc_seq=838&lang_cd=ko
3rd rowhttps://www.visitbusan.net/index.do?menuCd=DOM_000000201001001000&uc_seq=257&lang_cd=ko
4th rowhttps://www.visitbusan.net/index.do?menuCd=DOM_000000201001001000&uc_seq=258&lang_cd=ko
5th rowhttps://www.visitbusan.net/index.do?menuCd=DOM_000000201001001000&uc_seq=259&lang_cd=ko
ValueCountFrequency (%)
https://www.visitbusan.net/index.do?menucd=dom_000000201001001000&uc_seq=255&lang_cd=ko 1
 
1.0%
https://www.visitbusan.net/index.do?menucd=dom_000000201001001000&uc_seq=362&lang_cd=ko 1
 
1.0%
https://www.visitbusan.net/index.do?menucd=dom_000000201001001000&uc_seq=377&lang_cd=ko 1
 
1.0%
https://www.visitbusan.net/index.do?menucd=dom_000000201001001000&uc_seq=373&lang_cd=ko 1
 
1.0%
https://www.visitbusan.net/index.do?menucd=dom_000000201001001000&uc_seq=372&lang_cd=ko 1
 
1.0%
https://www.visitbusan.net/index.do?menucd=dom_000000201001001000&uc_seq=371&lang_cd=ko 1
 
1.0%
https://www.visitbusan.net/index.do?menucd=dom_000000201001001000&uc_seq=370&lang_cd=ko 1
 
1.0%
https://www.visitbusan.net/index.do?menucd=dom_000000201001001000&uc_seq=369&lang_cd=ko 1
 
1.0%
https://www.visitbusan.net/index.do?menucd=dom_000000201001001000&uc_seq=368&lang_cd=ko 1
 
1.0%
https://www.visitbusan.net/index.do?menucd=dom_000000201001001000&uc_seq=367&lang_cd=ko 1
 
1.0%
Other values (90) 90
90.0%
2023-12-10T18:43:28.135591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1416
 
16.3%
n 500
 
5.7%
s 400
 
4.6%
t 400
 
4.6%
d 400
 
4.6%
e 400
 
4.6%
1 316
 
3.6%
= 300
 
3.4%
u 300
 
3.4%
_ 300
 
3.4%
Other values (32) 3964
45.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4597
52.9%
Decimal Number 2100
24.1%
Other Punctuation 999
 
11.5%
Uppercase Letter 400
 
4.6%
Math Symbol 300
 
3.4%
Connector Punctuation 300
 
3.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 500
10.9%
s 400
 
8.7%
t 400
 
8.7%
d 400
 
8.7%
e 400
 
8.7%
u 300
 
6.5%
i 300
 
6.5%
w 297
 
6.5%
c 200
 
4.4%
o 200
 
4.4%
Other values (11) 1200
26.1%
Decimal Number
ValueCountFrequency (%)
0 1416
67.4%
1 316
 
15.0%
2 149
 
7.1%
3 54
 
2.6%
4 41
 
2.0%
6 29
 
1.4%
5 26
 
1.2%
7 26
 
1.2%
8 24
 
1.1%
9 19
 
0.9%
Other Punctuation
ValueCountFrequency (%)
/ 300
30.0%
. 299
29.9%
& 200
20.0%
: 100
 
10.0%
? 100
 
10.0%
Uppercase Letter
ValueCountFrequency (%)
M 100
25.0%
O 100
25.0%
D 100
25.0%
C 100
25.0%
Math Symbol
ValueCountFrequency (%)
= 300
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 300
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4997
57.5%
Common 3699
42.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 500
 
10.0%
s 400
 
8.0%
t 400
 
8.0%
d 400
 
8.0%
e 400
 
8.0%
u 300
 
6.0%
i 300
 
6.0%
w 297
 
5.9%
c 200
 
4.0%
o 200
 
4.0%
Other values (15) 1600
32.0%
Common
ValueCountFrequency (%)
0 1416
38.3%
1 316
 
8.5%
= 300
 
8.1%
_ 300
 
8.1%
/ 300
 
8.1%
. 299
 
8.1%
& 200
 
5.4%
2 149
 
4.0%
: 100
 
2.7%
? 100
 
2.7%
Other values (7) 219
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8696
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1416
 
16.3%
n 500
 
5.7%
s 400
 
4.6%
t 400
 
4.6%
d 400
 
4.6%
e 400
 
4.6%
1 316
 
3.6%
= 300
 
3.4%
u 300
 
3.4%
_ 300
 
3.4%
Other values (32) 3964
45.6%
Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T18:43:28.728779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length24
Mean length18.43
Min length5

Characters and Unicode

Total characters1843
Distinct characters357
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

Unique100 ?
Unique (%)100.0%

Sample

1st row가파른 절벽 끝에 흰여울문화마을
2nd row부산의 옛 흔적을 찾아, 우암동 소막마을
3rd row해양 문화의 꽃 국립해양박물관
4th row영도 등대와 함께한 100년 태종대
5th row기장바다의 색다른 풍경 죽성성당
ValueCountFrequency (%)
5
 
1.2%
부산의 5
 
1.2%
자연 4
 
0.9%
부산 4
 
0.9%
만나다 4
 
0.9%
부산을 3
 
0.7%
바다의 3
 
0.7%
함께하는 3
 
0.7%
가득한 3
 
0.7%
품은 3
 
0.7%
Other values (372) 395
91.4%
2023-12-10T18:43:29.664452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
332
 
18.0%
41
 
2.2%
32
 
1.7%
32
 
1.7%
31
 
1.7%
31
 
1.7%
30
 
1.6%
29
 
1.6%
, 28
 
1.5%
26
 
1.4%
Other values (347) 1231
66.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1433
77.8%
Space Separator 332
 
18.0%
Other Punctuation 37
 
2.0%
Decimal Number 25
 
1.4%
Uppercase Letter 5
 
0.3%
Lowercase Letter 4
 
0.2%
Initial Punctuation 2
 
0.1%
Final Punctuation 2
 
0.1%
Connector Punctuation 1
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
41
 
2.9%
32
 
2.2%
32
 
2.2%
31
 
2.2%
31
 
2.2%
30
 
2.1%
29
 
2.0%
26
 
1.8%
25
 
1.7%
23
 
1.6%
Other values (319) 1133
79.1%
Decimal Number
ValueCountFrequency (%)
1 7
28.0%
0 7
28.0%
3 3
12.0%
4 3
12.0%
9 3
12.0%
6 1
 
4.0%
8 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 28
75.7%
! 5
 
13.5%
. 1
 
2.7%
& 1
 
2.7%
? 1
 
2.7%
/ 1
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
A 1
20.0%
C 1
20.0%
P 1
20.0%
E 1
20.0%
F 1
20.0%
Lowercase Letter
ValueCountFrequency (%)
t 1
25.0%
a 1
25.0%
e 1
25.0%
f 1
25.0%
Space Separator
ValueCountFrequency (%)
332
100.0%
Initial Punctuation
ValueCountFrequency (%)
2
100.0%
Final Punctuation
ValueCountFrequency (%)
2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1433
77.8%
Common 401
 
21.8%
Latin 9
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
41
 
2.9%
32
 
2.2%
32
 
2.2%
31
 
2.2%
31
 
2.2%
30
 
2.1%
29
 
2.0%
26
 
1.8%
25
 
1.7%
23
 
1.6%
Other values (319) 1133
79.1%
Common
ValueCountFrequency (%)
332
82.8%
, 28
 
7.0%
1 7
 
1.7%
0 7
 
1.7%
! 5
 
1.2%
3 3
 
0.7%
4 3
 
0.7%
9 3
 
0.7%
2
 
0.5%
2
 
0.5%
Other values (9) 9
 
2.2%
Latin
ValueCountFrequency (%)
t 1
11.1%
A 1
11.1%
C 1
11.1%
a 1
11.1%
e 1
11.1%
f 1
11.1%
P 1
11.1%
E 1
11.1%
F 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1433
77.8%
ASCII 406
 
22.0%
Punctuation 4
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
332
81.8%
, 28
 
6.9%
1 7
 
1.7%
0 7
 
1.7%
! 5
 
1.2%
3 3
 
0.7%
4 3
 
0.7%
9 3
 
0.7%
_ 1
 
0.2%
t 1
 
0.2%
Other values (16) 16
 
3.9%
Hangul
ValueCountFrequency (%)
41
 
2.9%
32
 
2.2%
32
 
2.2%
31
 
2.2%
31
 
2.2%
30
 
2.1%
29
 
2.0%
26
 
1.8%
25
 
1.7%
23
 
1.6%
Other values (319) 1133
79.1%
Punctuation
ValueCountFrequency (%)
2
50.0%
2
50.0%
Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T18:43:30.334213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length22
Mean length14.17
Min length3

Characters and Unicode

Total characters1417
Distinct characters334
Distinct categories7 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)100.0%

Sample

1st row흰여울길에서 만난 느림의 미학
2nd row글. 일러스트 여행드로잉작가 정승빈
3rd row해양, 어디까지 알고 있니?
4th row가족. 연인, 친구와 함께라면 더없이 좋은
5th row드라마 세트장의 놀라운 변화
ValueCountFrequency (%)
부산 7
 
2.0%
6
 
1.7%
바다 4
 
1.1%
가다 4
 
1.1%
좋은 4
 
1.1%
과거와 3
 
0.8%
부산의 3
 
0.8%
걷는 3
 
0.8%
도심 3
 
0.8%
3
 
0.8%
Other values (296) 316
88.8%
2023-12-10T18:43:31.260114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
256
 
18.1%
33
 
2.3%
29
 
2.0%
23
 
1.6%
22
 
1.6%
22
 
1.6%
20
 
1.4%
19
 
1.3%
19
 
1.3%
19
 
1.3%
Other values (324) 955
67.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1124
79.3%
Space Separator 256
 
18.1%
Other Punctuation 23
 
1.6%
Decimal Number 8
 
0.6%
Uppercase Letter 4
 
0.3%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
33
 
2.9%
29
 
2.6%
23
 
2.0%
22
 
2.0%
22
 
2.0%
20
 
1.8%
19
 
1.7%
19
 
1.7%
19
 
1.7%
15
 
1.3%
Other values (308) 903
80.3%
Decimal Number
ValueCountFrequency (%)
1 3
37.5%
0 2
25.0%
3 1
 
12.5%
9 1
 
12.5%
8 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
, 16
69.6%
. 3
 
13.0%
? 2
 
8.7%
! 2
 
8.7%
Uppercase Letter
ValueCountFrequency (%)
E 1
25.0%
P 1
25.0%
C 1
25.0%
A 1
25.0%
Space Separator
ValueCountFrequency (%)
256
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1123
79.3%
Common 289
 
20.4%
Latin 4
 
0.3%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
33
 
2.9%
29
 
2.6%
23
 
2.0%
22
 
2.0%
22
 
2.0%
20
 
1.8%
19
 
1.7%
19
 
1.7%
19
 
1.7%
15
 
1.3%
Other values (307) 902
80.3%
Common
ValueCountFrequency (%)
256
88.6%
, 16
 
5.5%
. 3
 
1.0%
1 3
 
1.0%
? 2
 
0.7%
! 2
 
0.7%
0 2
 
0.7%
3 1
 
0.3%
( 1
 
0.3%
) 1
 
0.3%
Other values (2) 2
 
0.7%
Latin
ValueCountFrequency (%)
E 1
25.0%
P 1
25.0%
C 1
25.0%
A 1
25.0%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1123
79.3%
ASCII 293
 
20.7%
CJK 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
256
87.4%
, 16
 
5.5%
. 3
 
1.0%
1 3
 
1.0%
? 2
 
0.7%
! 2
 
0.7%
0 2
 
0.7%
E 1
 
0.3%
P 1
 
0.3%
C 1
 
0.3%
Other values (6) 6
 
2.0%
Hangul
ValueCountFrequency (%)
33
 
2.9%
29
 
2.6%
23
 
2.0%
22
 
2.0%
22
 
2.0%
20
 
1.8%
19
 
1.7%
19
 
1.7%
19
 
1.7%
15
 
1.3%
Other values (307) 902
80.3%
CJK
ValueCountFrequency (%)
1
100.0%
Distinct99
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T18:43:31.805692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length13
Mean length7.27
Min length2

Characters and Unicode

Total characters727
Distinct characters215
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

Unique98 ?
Unique (%)98.0%

Sample

1st row흰여울문화마을
2nd row우암동 소막마을
3rd row국립해양박물관
4th row태종대 유원지
5th row죽성성당
ValueCountFrequency (%)
우암동 2
 
1.4%
해수욕장 2
 
1.4%
오륙도 2
 
1.4%
광안리 2
 
1.4%
아미동 2
 
1.4%
영화의 2
 
1.4%
가덕도 2
 
1.4%
소막마을 2
 
1.4%
신선대 2
 
1.4%
유원지 2
 
1.4%
Other values (121) 121
85.8%
2023-12-10T18:43:32.685199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
41
 
5.6%
29
 
4.0%
28
 
3.9%
18
 
2.5%
18
 
2.5%
18
 
2.5%
16
 
2.2%
15
 
2.1%
15
 
2.1%
, 14
 
1.9%
Other values (205) 515
70.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 649
89.3%
Space Separator 41
 
5.6%
Other Punctuation 16
 
2.2%
Decimal Number 14
 
1.9%
Uppercase Letter 5
 
0.7%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
29
 
4.5%
28
 
4.3%
18
 
2.8%
18
 
2.8%
18
 
2.8%
16
 
2.5%
15
 
2.3%
15
 
2.3%
13
 
2.0%
12
 
1.8%
Other values (188) 467
72.0%
Decimal Number
ValueCountFrequency (%)
1 5
35.7%
9 3
21.4%
4 2
 
14.3%
0 1
 
7.1%
3 1
 
7.1%
6 1
 
7.1%
8 1
 
7.1%
Uppercase Letter
ValueCountFrequency (%)
F 1
20.0%
C 1
20.0%
E 1
20.0%
P 1
20.0%
A 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 14
87.5%
/ 2
 
12.5%
Space Separator
ValueCountFrequency (%)
41
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 649
89.3%
Common 73
 
10.0%
Latin 5
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
29
 
4.5%
28
 
4.3%
18
 
2.8%
18
 
2.8%
18
 
2.8%
16
 
2.5%
15
 
2.3%
15
 
2.3%
13
 
2.0%
12
 
1.8%
Other values (188) 467
72.0%
Common
ValueCountFrequency (%)
41
56.2%
, 14
 
19.2%
1 5
 
6.8%
9 3
 
4.1%
4 2
 
2.7%
/ 2
 
2.7%
0 1
 
1.4%
3 1
 
1.4%
6 1
 
1.4%
) 1
 
1.4%
Other values (2) 2
 
2.7%
Latin
ValueCountFrequency (%)
F 1
20.0%
C 1
20.0%
E 1
20.0%
P 1
20.0%
A 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 649
89.3%
ASCII 78
 
10.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
41
52.6%
, 14
 
17.9%
1 5
 
6.4%
9 3
 
3.8%
4 2
 
2.6%
/ 2
 
2.6%
0 1
 
1.3%
3 1
 
1.3%
6 1
 
1.3%
F 1
 
1.3%
Other values (7) 7
 
9.0%
Hangul
ValueCountFrequency (%)
29
 
4.5%
28
 
4.3%
18
 
2.8%
18
 
2.8%
18
 
2.8%
16
 
2.5%
15
 
2.3%
15
 
2.3%
13
 
2.0%
12
 
1.8%
Other values (188) 467
72.0%

ctgry_one_nm
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
명소
100 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
명소 100
100.0%

Length

2023-12-10T18:43:32.962289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:43:33.170761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
명소 100
100.0%

ctgry_two_nm
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
자연
35 
문화
33 
역사
23 
공원

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row자연
2nd row역사
3rd row문화
4th row자연
5th row자연

Common Values

ValueCountFrequency (%)
자연 35
35.0%
문화 33
33.0%
역사 23
23.0%
공원 9
 
9.0%

Length

2023-12-10T18:43:33.360937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:43:33.572517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자연 35
35.0%
문화 33
33.0%
역사 23
23.0%
공원 9
 
9.0%

gugun_nm
Categorical

Distinct15
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
기장군
11 
해운대구
10 
남구
중구
서구
Other values (10)
52 

Length

Max length4
Median length3
Mean length2.82
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영도구
2nd row남구
3rd row영도구
4th row영도구
5th row기장군

Common Values

ValueCountFrequency (%)
기장군 11
11.0%
해운대구 10
10.0%
남구 9
9.0%
중구 9
9.0%
서구 9
9.0%
부산진구 9
9.0%
동래구 8
8.0%
사하구 6
 
6.0%
영도구 5
 
5.0%
동구 5
 
5.0%
Other values (5) 19
19.0%

Length

2023-12-10T18:43:33.873162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기장군 11
11.0%
해운대구 10
10.0%
남구 9
9.0%
중구 9
9.0%
서구 9
9.0%
부산진구 9
9.0%
동래구 8
8.0%
사하구 6
 
6.0%
영도구 5
 
5.0%
동구 5
 
5.0%
Other values (5) 19
19.0%

trrsrt_la
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.158515
Minimum35.022896
Maximum35.374046
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:43:34.207691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.022896
5-th percentile35.0585
Q135.10319
median35.158295
Q335.200815
95-th percentile35.280312
Maximum35.374046
Range0.3511505
Interquartile range (IQR)0.097624725

Descriptive statistics

Standard deviation0.068352589
Coefficient of variation (CV)0.0019441262
Kurtosis0.66261245
Mean35.158515
Median Absolute Deviation (MAD)0.050024
Skewness0.6525769
Sum3515.8515
Variance0.0046720765
MonotonicityNot monotonic
2023-12-10T18:43:34.510108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.0788498 1
 
1.0%
35.095787 1
 
1.0%
35.2801361 1
 
1.0%
35.1531792 1
 
1.0%
35.158474 1
 
1.0%
35.1769333 1
 
1.0%
35.1581154 1
 
1.0%
35.1121254 1
 
1.0%
35.095295 1
 
1.0%
35.1007233 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
35.0228958 1
1.0%
35.0268745 1
1.0%
35.0465202 1
1.0%
35.0526428 1
1.0%
35.0527267 1
1.0%
35.0588036 1
1.0%
35.0759506 1
1.0%
35.0787277 1
1.0%
35.0788498 1
1.0%
35.0807266 1
1.0%
ValueCountFrequency (%)
35.3740463 1
1.0%
35.3711739 1
1.0%
35.2915039 1
1.0%
35.2873344 1
1.0%
35.2836456 1
1.0%
35.2801361 1
1.0%
35.2725792 1
1.0%
35.2694817 1
1.0%
35.260025 1
1.0%
35.2590561 1
1.0%

trrsrt_lo
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.07126
Minimum128.8172
Maximum129.26433
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:43:34.866274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.8172
5-th percentile128.96056
Q1129.02744
median129.05971
Q3129.11594
95-th percentile129.22593
Maximum129.26433
Range0.4471283
Interquartile range (IQR)0.088497125

Descriptive statistics

Standard deviation0.080870636
Coefficient of variation (CV)0.00062655802
Kurtosis1.209176
Mean129.07126
Median Absolute Deviation (MAD)0.0425644
Skewness-0.036945069
Sum12907.126
Variance0.0065400597
MonotonicityNot monotonic
2023-12-10T18:43:35.142802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.0440216 1
 
1.0%
129.0092621 1
 
1.0%
129.0511932 1
 
1.0%
129.118866 1
 
1.0%
129.1598663 1
 
1.0%
129.1149597 1
 
1.0%
129.0826874 1
 
1.0%
129.0279236 1
 
1.0%
129.0365601 1
 
1.0%
129.0326385 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
128.8171997 1
1.0%
128.8339539 1
1.0%
128.8752136 1
1.0%
128.9428253 1
1.0%
128.9569397 1
1.0%
128.9607544 1
1.0%
128.9628296 1
1.0%
128.9739685 1
1.0%
128.9796753 1
1.0%
129.0007935 1
1.0%
ValueCountFrequency (%)
129.264328 1
1.0%
129.248642 1
1.0%
129.2335968 1
1.0%
129.2328796 1
1.0%
129.2278442 1
1.0%
129.2258301 1
1.0%
129.2242279 1
1.0%
129.223465 1
1.0%
129.2127075 1
1.0%
129.1996613 1
1.0%

hashtag_cn
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T18:43:35.606035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length132
Median length86
Mean length73.93
Min length28

Characters and Unicode

Total characters7393
Distinct characters376
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)100.0%

Sample

1st row#자연,#바다,#문화예술마을,#흰여울문화마을,#바다풍경,#절영해안산책로,#절벽,#계단,#골목길,#휴가,#추천여행,#원도심투어
2nd row#부산여행,#부산이색여행,#근현대사,#역사여행,#우암동소막마을,#원도심투어,#부산가볼만한곳,#역사문화재,#테마거리,#부모님과함께,#친구와함께,#아이와함께,#혼자가는여행,#가족여행,#부산음식,#부산맛집,#이달의부산여행,#7월부산여행
3rd row#부산여행,#박물관,#체험학습,#실내여행지,#경치좋은곳,#사계절,#국립해양박물관,#어린이박물관,#가족나들이,#영도여행,#아이와함께
4th row#부산여행,#태종대,#해안절경,#다누비열차,#부산데이트코스,#가족과함께,#인생샷,#영도등대,#등대투어,#뷰포인트
5th row#포토스폿,#부산여행,#죽성성당,#부산핫플레이스,#죽성드림세트장,#부산데이트코스,#기장죽성성당,#바다풍경,#드라이브코스,#기장해안산책로,#뷰포인트,#바다여행
ValueCountFrequency (%)
자연,#바다,#문화예술마을,#흰여울문화마을,#바다풍경,#절영해안산책로,#절벽,#계단,#골목길,#휴가,#추천여행,#원도심투어 1
 
1.0%
부산여행,#부산가볼만한곳,#공원,#수변공원,#조각공원,#apec나루공원,#산책,#조깅,#자전거 1
 
1.0%
부산여행,#바다,#광안리,#해수욕장,#수변공원,#야경,#광안대교,#해양스포츠,#바나나보트,#서핑,#패들보드,#카페,#회센터,#포토스폿,#가족여행,#광안리해수욕장,#아이와함께,#여름휴가,#연인과함께#자연,#친구와함께,#수제맥주,#바다여행 1
 
1.0%
부산,#해운대해수욕장,#동백섬,#동백해안산책로,#누리마루,#여름,#산책,#바람,#힐링,#관광,#휴가,#추천여행,#가족여행,#바다,#해운대포장마차,#더베이101,#바다여행 1
 
1.0%
부산여행,#부산가볼만한곳,#유니크베뉴,#이색여행,#추천여행,#부산모임장소,#복합문화공간,#부산mice,#부산명소,#f1963,#포토스폿 1
 
1.0%
부산여행,#부산가볼만한곳,#부산여행코스,#남구명소,#부산명소,#부산관광코스,#부산야경,#황령산전망쉼터,#황령산,#부산드라이브코스,#황령산봉수대,#황령산전망대,#부산데이트코스,#황령산벚꽃,#뷰포인트 1
 
1.0%
부산여행,#부산가볼만한곳,#부산명소,#부산드라이브코스,#민주공원,#4.19민주혁명,#부마민주항쟁,#6.10민주항쟁,#충혼탑,#민주공원겹벚꽃,#부산나들이,#부산데이트코스,#걷기길,#중앙공원 1
 
1.0%
부산여행,#영도대교,#영도대교역사,#일제강점기,#영도,#영도여행,#도개교,#영도다리도개시간,#피난민,#이산가족,#한국전쟁,#부산영도,#부산추억,#역사여행,#부산대교,#원도심투어 1
 
1.0%
부산,#부산여행,#용두산공원,#부산타워,#랜드마크,#부산야경,#관광코스,#가족여행,#추천여행,#전망좋은곳,#힐링,#친구와함께,#트릭아트,#원도심투어 1
 
1.0%
부산여행,#트릭아이뮤지엄부산,#부산영화체험박물관,#부산실내여행,#이색데이트,#아이와함께,#이색체험,#친구와함께,#인생샷,#부산데이트코스,#부산가볼만한곳,#포토스폿 1
 
1.0%
Other values (90) 90
90.0%
2023-12-10T18:43:36.397736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
# 1211
 
16.4%
, 1109
 
15.0%
362
 
4.9%
278
 
3.8%
222
 
3.0%
217
 
2.9%
115
 
1.6%
101
 
1.4%
80
 
1.1%
74
 
1.0%
Other values (366) 3624
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5016
67.8%
Other Punctuation 2323
31.4%
Decimal Number 38
 
0.5%
Uppercase Letter 15
 
0.2%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
362
 
7.2%
278
 
5.5%
222
 
4.4%
217
 
4.3%
115
 
2.3%
101
 
2.0%
80
 
1.6%
74
 
1.5%
69
 
1.4%
66
 
1.3%
Other values (341) 3432
68.4%
Decimal Number
ValueCountFrequency (%)
1 10
26.3%
9 6
15.8%
0 5
13.2%
4 5
13.2%
6 4
 
10.5%
3 2
 
5.3%
8 2
 
5.3%
7 2
 
5.3%
2 1
 
2.6%
5 1
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
C 3
20.0%
E 3
20.0%
F 2
13.3%
M 1
 
6.7%
I 1
 
6.7%
O 1
 
6.7%
X 1
 
6.7%
B 1
 
6.7%
P 1
 
6.7%
A 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
# 1211
52.1%
, 1109
47.7%
. 2
 
0.1%
· 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
] 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5016
67.8%
Common 2362
31.9%
Latin 15
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
362
 
7.2%
278
 
5.5%
222
 
4.4%
217
 
4.3%
115
 
2.3%
101
 
2.0%
80
 
1.6%
74
 
1.5%
69
 
1.4%
66
 
1.3%
Other values (341) 3432
68.4%
Common
ValueCountFrequency (%)
# 1211
51.3%
, 1109
47.0%
1 10
 
0.4%
9 6
 
0.3%
0 5
 
0.2%
4 5
 
0.2%
6 4
 
0.2%
3 2
 
0.1%
. 2
 
0.1%
8 2
 
0.1%
Other values (5) 6
 
0.3%
Latin
ValueCountFrequency (%)
C 3
20.0%
E 3
20.0%
F 2
13.3%
M 1
 
6.7%
I 1
 
6.7%
O 1
 
6.7%
X 1
 
6.7%
B 1
 
6.7%
P 1
 
6.7%
A 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5016
67.8%
ASCII 2376
32.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
# 1211
51.0%
, 1109
46.7%
1 10
 
0.4%
9 6
 
0.3%
0 5
 
0.2%
4 5
 
0.2%
6 4
 
0.2%
C 3
 
0.1%
E 3
 
0.1%
F 2
 
0.1%
Other values (14) 18
 
0.8%
Hangul
ValueCountFrequency (%)
362
 
7.2%
278
 
5.5%
222
 
4.4%
217
 
4.3%
115
 
2.3%
101
 
2.0%
80
 
1.6%
74
 
1.5%
69
 
1.4%
66
 
1.3%
Other values (341) 3432
68.4%
None
ValueCountFrequency (%)
· 1
100.0%

tour_hntip_cn
Text

MISSING 

Distinct47
Distinct (%)100.0%
Missing53
Missing (%)53.0%
Memory size932.0 B
2023-12-10T18:43:36.898301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length122
Median length58
Mean length48.851064
Min length8

Characters and Unicode

Total characters2296
Distinct characters344
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)100.0%

Sample

1st row도시락을 가지고 온다면 실내 피크닉룸, 야외 피크닉존을 이용할 수 있다.
2nd row다누비 열차 운영 09:20~17:30순환도로 야간 차량 개방 18:00~22:00해상 유람선 운영(소요시간 40분) 각 유람선별 운영시간 상이
3rd row성당을 중심으로 해안산책로가 잘 정비되어있다.
4th row물을 꼭 챙기고 걷기 편한 신발 착용모기기피제와 부채 무료대여단체 관광버스 방문 시 예약필수
5th row해안산책로와 연결된 국립수산과학원에서 신기하고 재미있는 바다체험을 즐길 수 있다.힐튼호텔 아난티코브 타운이 근처에 있어 데이트 코스로도 추천.
ValueCountFrequency (%)
11
 
2.3%
있다 7
 
1.4%
함께 5
 
1.0%
4
 
0.8%
근무 4
 
0.8%
통해 4
 
0.8%
즐길 3
 
0.6%
운영 3
 
0.6%
홈페이지 3
 
0.6%
3
 
0.6%
Other values (390) 441
90.4%
2023-12-10T18:43:37.656923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
441
 
19.2%
0 61
 
2.7%
45
 
2.0%
40
 
1.7%
. 37
 
1.6%
36
 
1.6%
1 33
 
1.4%
31
 
1.4%
28
 
1.2%
25
 
1.1%
Other values (334) 1519
66.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1540
67.1%
Space Separator 441
 
19.2%
Decimal Number 143
 
6.2%
Other Punctuation 99
 
4.3%
Open Punctuation 16
 
0.7%
Close Punctuation 16
 
0.7%
Math Symbol 11
 
0.5%
Lowercase Letter 7
 
0.3%
Uppercase Letter 7
 
0.3%
Initial Punctuation 6
 
0.3%
Other values (2) 10
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
45
 
2.9%
40
 
2.6%
36
 
2.3%
31
 
2.0%
28
 
1.8%
25
 
1.6%
25
 
1.6%
24
 
1.6%
22
 
1.4%
22
 
1.4%
Other values (297) 1242
80.6%
Decimal Number
ValueCountFrequency (%)
0 61
42.7%
1 33
23.1%
2 11
 
7.7%
4 8
 
5.6%
3 8
 
5.6%
9 8
 
5.6%
6 4
 
2.8%
7 4
 
2.8%
5 3
 
2.1%
8 3
 
2.1%
Other Punctuation
ValueCountFrequency (%)
. 37
37.4%
: 24
24.2%
, 15
15.2%
# 14
 
14.1%
/ 5
 
5.1%
! 2
 
2.0%
· 1
 
1.0%
1
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
F 2
28.6%
X 1
14.3%
R 1
14.3%
M 1
14.3%
N 1
14.3%
U 1
14.3%
Lowercase Letter
ValueCountFrequency (%)
u 2
28.6%
m 2
28.6%
k 1
14.3%
e 1
14.3%
s 1
14.3%
Dash Punctuation
ValueCountFrequency (%)
- 3
75.0%
1
 
25.0%
Space Separator
ValueCountFrequency (%)
441
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Math Symbol
ValueCountFrequency (%)
~ 11
100.0%
Initial Punctuation
ValueCountFrequency (%)
6
100.0%
Final Punctuation
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1540
67.1%
Common 742
32.3%
Latin 14
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
45
 
2.9%
40
 
2.6%
36
 
2.3%
31
 
2.0%
28
 
1.8%
25
 
1.6%
25
 
1.6%
24
 
1.6%
22
 
1.4%
22
 
1.4%
Other values (297) 1242
80.6%
Common
ValueCountFrequency (%)
441
59.4%
0 61
 
8.2%
. 37
 
5.0%
1 33
 
4.4%
: 24
 
3.2%
( 16
 
2.2%
) 16
 
2.2%
, 15
 
2.0%
# 14
 
1.9%
~ 11
 
1.5%
Other values (16) 74
 
10.0%
Latin
ValueCountFrequency (%)
u 2
14.3%
F 2
14.3%
m 2
14.3%
k 1
7.1%
e 1
7.1%
X 1
7.1%
R 1
7.1%
M 1
7.1%
s 1
7.1%
N 1
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1540
67.1%
ASCII 741
32.3%
Punctuation 14
 
0.6%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
441
59.5%
0 61
 
8.2%
. 37
 
5.0%
1 33
 
4.5%
: 24
 
3.2%
( 16
 
2.2%
) 16
 
2.2%
, 15
 
2.0%
# 14
 
1.9%
~ 11
 
1.5%
Other values (22) 73
 
9.9%
Hangul
ValueCountFrequency (%)
45
 
2.9%
40
 
2.6%
36
 
2.3%
31
 
2.0%
28
 
1.8%
25
 
1.6%
25
 
1.6%
24
 
1.6%
22
 
1.4%
22
 
1.4%
Other values (297) 1242
80.6%
Punctuation
ValueCountFrequency (%)
6
42.9%
6
42.9%
1
 
7.1%
1
 
7.1%
None
ValueCountFrequency (%)
· 1
100.0%

tour_etiquette_cn
Text

MISSING 

Distinct40
Distinct (%)97.6%
Missing59
Missing (%)59.0%
Memory size932.0 B
2023-12-10T18:43:38.200997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length156
Median length56
Mean length45.219512
Min length11

Characters and Unicode

Total characters1854
Distinct characters285
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)95.1%

Sample

1st row마을주민들이 살고 있으니 기본 에티켓은 지켜주세요.
2nd row두호마을 주민의 생활과 생업에 방해되지 않도록 음주가무 및 야간 고성방가에 유의.차량주차는 통행에 방해가 되지 않도록 유의.
3rd row유모차, 자전거, 등산용구(스틱 등) 이용금지 식물채취 및 훼손, 곤충채집 금지애완동물 동반 불가
4th row사찰 경내에서는 목소리를 낮춘다.법당 출입 시 정면에 있는 문(스님만 출입)을 사용하지 말고 측면의 문으로 출입한다.신발은 가지런히 벗어 놓는다.
5th row부산치유의 숲은 상수원보호구역입니다.-흡연, 음주, 취사(캠핑)행위 금지-자전거 및 오토바이 출입금지-무단채취 및 훼손 금지
ValueCountFrequency (%)
11
 
2.5%
주세요 10
 
2.3%
금지 9
 
2.1%
6
 
1.4%
동반 6
 
1.4%
쓰레기는 5
 
1.1%
조용히 5
 
1.1%
행위 5
 
1.1%
실제 4
 
0.9%
쓰레기 4
 
0.9%
Other values (304) 371
85.1%
2023-12-10T18:43:39.374210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
395
 
21.3%
46
 
2.5%
41
 
2.2%
. 35
 
1.9%
33
 
1.8%
, 32
 
1.7%
28
 
1.5%
27
 
1.5%
26
 
1.4%
23
 
1.2%
Other values (275) 1168
63.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1357
73.2%
Space Separator 395
 
21.3%
Other Punctuation 73
 
3.9%
Decimal Number 9
 
0.5%
Close Punctuation 7
 
0.4%
Open Punctuation 7
 
0.4%
Dash Punctuation 6
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
46
 
3.4%
41
 
3.0%
33
 
2.4%
28
 
2.1%
27
 
2.0%
26
 
1.9%
23
 
1.7%
22
 
1.6%
21
 
1.5%
21
 
1.5%
Other values (259) 1069
78.8%
Other Punctuation
ValueCountFrequency (%)
. 35
47.9%
, 32
43.8%
2
 
2.7%
· 2
 
2.7%
/ 1
 
1.4%
: 1
 
1.4%
Decimal Number
ValueCountFrequency (%)
1 4
44.4%
3 1
 
11.1%
7 1
 
11.1%
0 1
 
11.1%
4 1
 
11.1%
9 1
 
11.1%
Space Separator
ValueCountFrequency (%)
395
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1357
73.2%
Common 497
 
26.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
46
 
3.4%
41
 
3.0%
33
 
2.4%
28
 
2.1%
27
 
2.0%
26
 
1.9%
23
 
1.7%
22
 
1.6%
21
 
1.5%
21
 
1.5%
Other values (259) 1069
78.8%
Common
ValueCountFrequency (%)
395
79.5%
. 35
 
7.0%
, 32
 
6.4%
) 7
 
1.4%
( 7
 
1.4%
- 6
 
1.2%
1 4
 
0.8%
2
 
0.4%
· 2
 
0.4%
3 1
 
0.2%
Other values (6) 6
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1357
73.2%
ASCII 493
 
26.6%
Punctuation 2
 
0.1%
None 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
395
80.1%
. 35
 
7.1%
, 32
 
6.5%
) 7
 
1.4%
( 7
 
1.4%
- 6
 
1.2%
1 4
 
0.8%
3 1
 
0.2%
7 1
 
0.2%
/ 1
 
0.2%
Other values (4) 4
 
0.8%
Hangul
ValueCountFrequency (%)
46
 
3.4%
41
 
3.0%
33
 
2.4%
28
 
2.1%
27
 
2.0%
26
 
1.9%
23
 
1.7%
22
 
1.6%
21
 
1.5%
21
 
1.5%
Other values (259) 1069
78.8%
Punctuation
ValueCountFrequency (%)
2
100.0%
None
ValueCountFrequency (%)
· 2
100.0%
Distinct97
Distinct (%)98.0%
Missing1
Missing (%)1.0%
Memory size932.0 B
2023-12-10T18:43:39.928888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length242
Median length111
Mean length90.323232
Min length25

Characters and Unicode

Total characters8942
Distinct characters291
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique95 ?
Unique (%)96.0%

Sample

1st row도시철도 1호선 남포역 6번 출구 → 7, 71, 508 버스 환승 → 영선동 백련사 하차버스 7,71,508 영선동 백련사 하차부산시티투어버스 부산역(점보버스) → 흰여울문화마을 하차주차 절영해안산책로 입구 공영 주차장 (유료)
2nd row도시철도 1호선 남포역 6번 출구 → 186, 66번 버스 환승 → 국립해양박물관 하차부산시티투어버스 부산역(점보버스) → 국립해양박물관 하차주차 국립해양박물관 주차장 (유료)
3rd row도시철도 1호선 부산역 7번 출구 → 66, 88, 101 버스 환승 → 태종대(태종대온천) 하차버스 8, 30, 66, 88, 101, 186 태종대(태종대온천) 하차주차 정문입구 주차장(버스전용), 제7주차장, 자유랜드 주차장 (유료)
4th row버스 해운대온천사거리 정류장 급행 1003 버스 → 기장성당 하차 → 마을버스 6 환승 → 두호마을 하차마을버스 기장군청 정류장 마을버스 6 → 두호마을 하차주차 죽성성당 인근 주차장 (유료)
5th row도시철도 1호선 노포역 → 2-3 마을버스 환승 → 미동마을 하차주차 아홉산숲 주차장
ValueCountFrequency (%)
도보 108
 
5.4%
98
 
4.9%
하차 90
 
4.5%
출구 90
 
4.5%
도시철도 81
 
4.0%
1호선 54
 
2.7%
환승 43
 
2.1%
버스 39
 
1.9%
하차주차 34
 
1.7%
2호선 30
 
1.5%
Other values (569) 1341
66.8%
2023-12-10T18:43:40.767821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1941
21.7%
1 513
 
5.7%
, 407
 
4.6%
316
 
3.5%
292
 
3.3%
2 185
 
2.1%
0 177
 
2.0%
174
 
1.9%
3 167
 
1.9%
162
 
1.8%
Other values (281) 4608
51.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4648
52.0%
Space Separator 1941
21.7%
Decimal Number 1649
 
18.4%
Other Punctuation 427
 
4.8%
Math Symbol 101
 
1.1%
Dash Punctuation 58
 
0.6%
Close Punctuation 56
 
0.6%
Open Punctuation 56
 
0.6%
Uppercase Letter 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
316
 
6.8%
292
 
6.3%
174
 
3.7%
162
 
3.5%
162
 
3.5%
155
 
3.3%
141
 
3.0%
134
 
2.9%
134
 
2.9%
124
 
2.7%
Other values (254) 2854
61.4%
Decimal Number
ValueCountFrequency (%)
1 513
31.1%
2 185
 
11.2%
0 177
 
10.7%
3 167
 
10.1%
8 139
 
8.4%
6 126
 
7.6%
5 105
 
6.4%
4 87
 
5.3%
7 80
 
4.9%
9 70
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 407
95.3%
10
 
2.3%
: 6
 
1.4%
/ 3
 
0.7%
· 1
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
N 2
33.3%
K 2
33.3%
F 1
16.7%
S 1
16.7%
Math Symbol
ValueCountFrequency (%)
98
97.0%
~ 2
 
2.0%
1
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 57
98.3%
1
 
1.7%
Space Separator
ValueCountFrequency (%)
1941
100.0%
Close Punctuation
ValueCountFrequency (%)
) 56
100.0%
Open Punctuation
ValueCountFrequency (%)
( 56
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4648
52.0%
Common 4288
48.0%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
316
 
6.8%
292
 
6.3%
174
 
3.7%
162
 
3.5%
162
 
3.5%
155
 
3.3%
141
 
3.0%
134
 
2.9%
134
 
2.9%
124
 
2.7%
Other values (254) 2854
61.4%
Common
ValueCountFrequency (%)
1941
45.3%
1 513
 
12.0%
, 407
 
9.5%
2 185
 
4.3%
0 177
 
4.1%
3 167
 
3.9%
8 139
 
3.2%
6 126
 
2.9%
5 105
 
2.4%
98
 
2.3%
Other values (13) 430
 
10.0%
Latin
ValueCountFrequency (%)
N 2
33.3%
K 2
33.3%
F 1
16.7%
S 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4648
52.0%
ASCII 4183
46.8%
Arrows 98
 
1.1%
Punctuation 11
 
0.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1941
46.4%
1 513
 
12.3%
, 407
 
9.7%
2 185
 
4.4%
0 177
 
4.2%
3 167
 
4.0%
8 139
 
3.3%
6 126
 
3.0%
5 105
 
2.5%
4 87
 
2.1%
Other values (12) 336
 
8.0%
Hangul
ValueCountFrequency (%)
316
 
6.8%
292
 
6.3%
174
 
3.7%
162
 
3.5%
162
 
3.5%
155
 
3.3%
141
 
3.0%
134
 
2.9%
134
 
2.9%
124
 
2.7%
Other values (254) 2854
61.4%
Arrows
ValueCountFrequency (%)
98
100.0%
Punctuation
ValueCountFrequency (%)
10
90.9%
1
 
9.1%
None
ValueCountFrequency (%)
· 1
50.0%
1
50.0%

oper_pd
Text

MISSING 

Distinct4
Distinct (%)66.7%
Missing94
Missing (%)94.0%
Memory size932.0 B
2023-12-10T18:43:41.069003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length10
Min length2

Characters and Unicode

Total characters60
Distinct characters31
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)50.0%

Sample

1st row상시
2nd row개장기간 : 매년 7월 1일 ~ 8월 31일
3rd row매일(휴무일 제외)
4th row유엔기념공원 매일유엔평화기념관 화~일
5th row상시
ValueCountFrequency (%)
상시 3
18.8%
2
12.5%
개장기간 1
 
6.2%
매년 1
 
6.2%
7월 1
 
6.2%
1일 1
 
6.2%
8월 1
 
6.2%
31일 1
 
6.2%
매일(휴무일 1
 
6.2%
제외 1
 
6.2%
Other values (3) 3
18.8%
2023-12-10T18:43:41.779423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10
16.7%
6
 
10.0%
3
 
5.0%
3
 
5.0%
3
 
5.0%
3
 
5.0%
2
 
3.3%
2
 
3.3%
~ 2
 
3.3%
1 2
 
3.3%
Other values (21) 24
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 40
66.7%
Space Separator 10
 
16.7%
Decimal Number 5
 
8.3%
Math Symbol 2
 
3.3%
Close Punctuation 1
 
1.7%
Open Punctuation 1
 
1.7%
Other Punctuation 1
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6
15.0%
3
 
7.5%
3
 
7.5%
3
 
7.5%
3
 
7.5%
2
 
5.0%
2
 
5.0%
2
 
5.0%
2
 
5.0%
2
 
5.0%
Other values (12) 12
30.0%
Decimal Number
ValueCountFrequency (%)
1 2
40.0%
8 1
20.0%
3 1
20.0%
7 1
20.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Other Punctuation
ValueCountFrequency (%)
: 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 40
66.7%
Common 20
33.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6
15.0%
3
 
7.5%
3
 
7.5%
3
 
7.5%
3
 
7.5%
2
 
5.0%
2
 
5.0%
2
 
5.0%
2
 
5.0%
2
 
5.0%
Other values (12) 12
30.0%
Common
ValueCountFrequency (%)
10
50.0%
~ 2
 
10.0%
1 2
 
10.0%
) 1
 
5.0%
8 1
 
5.0%
( 1
 
5.0%
3 1
 
5.0%
7 1
 
5.0%
: 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 40
66.7%
ASCII 20
33.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10
50.0%
~ 2
 
10.0%
1 2
 
10.0%
) 1
 
5.0%
8 1
 
5.0%
( 1
 
5.0%
3 1
 
5.0%
7 1
 
5.0%
: 1
 
5.0%
Hangul
ValueCountFrequency (%)
6
15.0%
3
 
7.5%
3
 
7.5%
3
 
7.5%
3
 
7.5%
2
 
5.0%
2
 
5.0%
2
 
5.0%
2
 
5.0%
2
 
5.0%
Other values (12) 12
30.0%

rstde_guid_cn
Categorical

Distinct35
Distinct (%)35.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
연중무휴
45 
<NA>
17 
매주 월요일, 1월 1일
 
3
매주 월요일
 
2
월요일
 
2
Other values (30)
31 

Length

Max length49
Median length4
Mean length8.8
Min length3

Unique

Unique29 ?
Unique (%)29.0%

Sample

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

Common Values

ValueCountFrequency (%)
연중무휴 45
45.0%
<NA> 17
 
17.0%
매주 월요일, 1월 1일 3
 
3.0%
매주 월요일 2
 
2.0%
월요일 2
 
2.0%
1월 1일, 매주 월요일 2
 
2.0%
매주 월요일, 1월 1일, 명절 당일 1
 
1.0%
월요일, 1월1일, 명절연휴, 임시공휴일 1
 
1.0%
매주 월요일, 설날‧추석연휴 1
 
1.0%
1월 1일, 월요일 1
 
1.0%
Other values (25) 25
25.0%

Length

2023-12-10T18:43:42.080993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
연중무휴 45
21.4%
월요일 28
13.3%
매주 19
 
9.0%
na 17
 
8.1%
1월 13
 
6.2%
1일 13
 
6.2%
당일 7
 
3.3%
명절 4
 
1.9%
법정공휴일 2
 
1.0%
공휴일 2
 
1.0%
Other values (54) 60
28.6%

utiliiza_wkday_nd_pd
Text

MISSING 

Distinct53
Distinct (%)57.0%
Missing7
Missing (%)7.0%
Memory size932.0 B
2023-12-10T18:43:42.599962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length173
Median length89
Mean length19.150538
Min length2

Characters and Unicode

Total characters1781
Distinct characters159
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

Unique48 ?
Unique (%)51.6%

Sample

1st row화 ~ 일국립해양박물관 -평일 09:00~18:00 -토요일 [9월~4월] 09:00~19:00 / [5월~8월] 09:00~21:00 -일요일, 공휴일 09:00~19:00 -설날‧추석 익일, 어린이날, 광복절 09:00~21:00 해양도서관 - 09:00~18:00 - 휴관일: 박물관 휴관일 및 법정공휴일
2nd row하절기 3~10월(04:00~24:00) / 동절기 11~2월(05:00~24:00)
3rd row평일, 주말 09:00~18:00 (입장마감 16시30분)
4th row매일, 05:00 ~ 일몰 시까지
5th row매일
ValueCountFrequency (%)
상시 36
 
12.9%
28
 
10.0%
화~일 13
 
4.7%
09:00~18:00 12
 
4.3%
매일 8
 
2.9%
평일 6
 
2.2%
17:00 6
 
2.2%
18:00 5
 
1.8%
09:00 5
 
1.8%
10:00~17:00 4
 
1.4%
Other values (127) 156
55.9%
2023-12-10T18:43:43.595260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 384
21.6%
186
 
10.4%
: 160
 
9.0%
~ 109
 
6.1%
1 102
 
5.7%
58
 
3.3%
9 55
 
3.1%
44
 
2.5%
43
 
2.4%
( 38
 
2.1%
Other values (149) 602
33.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 673
37.8%
Other Letter 540
30.3%
Space Separator 186
 
10.4%
Other Punctuation 183
 
10.3%
Math Symbol 109
 
6.1%
Open Punctuation 40
 
2.2%
Close Punctuation 40
 
2.2%
Dash Punctuation 10
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
58
 
10.7%
44
 
8.1%
43
 
8.0%
23
 
4.3%
23
 
4.3%
16
 
3.0%
14
 
2.6%
14
 
2.6%
13
 
2.4%
12
 
2.2%
Other values (128) 280
51.9%
Decimal Number
ValueCountFrequency (%)
0 384
57.1%
1 102
 
15.2%
9 55
 
8.2%
2 37
 
5.5%
8 36
 
5.3%
3 20
 
3.0%
7 19
 
2.8%
4 10
 
1.5%
5 6
 
0.9%
6 4
 
0.6%
Other Punctuation
ValueCountFrequency (%)
: 160
87.4%
/ 13
 
7.1%
, 8
 
4.4%
2
 
1.1%
Open Punctuation
ValueCountFrequency (%)
( 38
95.0%
[ 2
 
5.0%
Close Punctuation
ValueCountFrequency (%)
) 38
95.0%
] 2
 
5.0%
Space Separator
ValueCountFrequency (%)
186
100.0%
Math Symbol
ValueCountFrequency (%)
~ 109
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1241
69.7%
Hangul 540
30.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
58
 
10.7%
44
 
8.1%
43
 
8.0%
23
 
4.3%
23
 
4.3%
16
 
3.0%
14
 
2.6%
14
 
2.6%
13
 
2.4%
12
 
2.2%
Other values (128) 280
51.9%
Common
ValueCountFrequency (%)
0 384
30.9%
186
15.0%
: 160
12.9%
~ 109
 
8.8%
1 102
 
8.2%
9 55
 
4.4%
( 38
 
3.1%
) 38
 
3.1%
2 37
 
3.0%
8 36
 
2.9%
Other values (11) 96
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1239
69.6%
Hangul 540
30.3%
Punctuation 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 384
31.0%
186
15.0%
: 160
12.9%
~ 109
 
8.8%
1 102
 
8.2%
9 55
 
4.4%
( 38
 
3.1%
) 38
 
3.1%
2 37
 
3.0%
8 36
 
2.9%
Other values (10) 94
 
7.6%
Hangul
ValueCountFrequency (%)
58
 
10.7%
44
 
8.1%
43
 
8.0%
23
 
4.3%
23
 
4.3%
16
 
3.0%
14
 
2.6%
14
 
2.6%
13
 
2.4%
12
 
2.2%
Other values (128) 280
51.9%
Punctuation
ValueCountFrequency (%)
2
100.0%

utiliiza_chrge_cn
Categorical

IMBALANCE 

Distinct23
Distinct (%)23.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
무료
71 
무료(주차요금 별도)
 
5
<NA>
 
4
연령별 상이(홈페이지 참조)
 
1
관람료 무료(단, 4D영상관, 유료특별전시 제외)
 
1
Other values (18)
18 

Length

Max length47
Median length2
Mean length5.53
Min length2

Unique

Unique20 ?
Unique (%)20.0%

Sample

1st row무료
2nd row<NA>
3rd row관람료 무료(단, 4D영상관, 유료특별전시 제외)
4th row무료 (다누비 열차 요금 별도)
5th row<NA>

Common Values

ValueCountFrequency (%)
무료 71
71.0%
무료(주차요금 별도) 5
 
5.0%
<NA> 4
 
4.0%
연령별 상이(홈페이지 참조) 1
 
1.0%
관람료 무료(단, 4D영상관, 유료특별전시 제외) 1
 
1.0%
무료 (다누비 열차 요금 별도) 1
 
1.0%
5,000원 (5세부터) 1
 
1.0%
메뉴판 참조 1
 
1.0%
무료(카페이용 요금별도) 1
 
1.0%
무료(도서구입 별도) 1
 
1.0%
Other values (13) 13
 
13.0%

Length

2023-12-10T18:43:43.909986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
무료 72
48.6%
별도 10
 
6.8%
참조 7
 
4.7%
무료(주차요금 5
 
3.4%
na 4
 
2.7%
상이(홈페이지 4
 
2.7%
상이 2
 
1.4%
입장료 2
 
1.4%
무료(카페이용 2
 
1.4%
체험별‧연령별 1
 
0.7%
Other values (39) 39
26.4%

reprsnt_menu_nm
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing99
Missing (%)99.0%
Memory size332.0 B
False
 
1
(Missing)
99 
ValueCountFrequency (%)
False 1
 
1.0%
(Missing) 99
99.0%
2023-12-10T18:43:44.097663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

views_co
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2264.44
Minimum515
Maximum5697
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:43:44.300209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum515
5-th percentile1016.45
Q11498.75
median2132.5
Q32714.5
95-th percentile4165.15
Maximum5697
Range5182
Interquartile range (IQR)1215.75

Descriptive statistics

Standard deviation1020.4481
Coefficient of variation (CV)0.45064036
Kurtosis0.98196023
Mean2264.44
Median Absolute Deviation (MAD)624.5
Skewness1.0097945
Sum226444
Variance1041314.2
MonotonicityNot monotonic
2023-12-10T18:43:44.607937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4335 1
 
1.0%
5217 1
 
1.0%
2195 1
 
1.0%
4990 1
 
1.0%
5697 1
 
1.0%
2116 1
 
1.0%
2289 1
 
1.0%
1913 1
 
1.0%
2822 1
 
1.0%
3834 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
515 1
1.0%
898 1
1.0%
945 1
1.0%
952 1
1.0%
1006 1
1.0%
1017 1
1.0%
1045 1
1.0%
1058 1
1.0%
1151 1
1.0%
1162 1
1.0%
ValueCountFrequency (%)
5697 1
1.0%
5217 1
1.0%
4990 1
1.0%
4335 1
1.0%
4206 1
1.0%
4163 1
1.0%
4128 1
1.0%
3892 1
1.0%
3834 1
1.0%
3802 1
1.0%

like_co
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.57
Minimum0
Maximum59
Zeros19
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:43:44.835124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile15
Maximum59
Range59
Interquartile range (IQR)3

Descriptive statistics

Standard deviation8.5224066
Coefficient of variation (CV)1.8648592
Kurtosis22.211589
Mean4.57
Median Absolute Deviation (MAD)2
Skewness4.3670203
Sum457
Variance72.631414
MonotonicityNot monotonic
2023-12-10T18:43:45.065865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1 21
21.0%
2 20
20.0%
0 19
19.0%
4 10
10.0%
3 6
 
6.0%
5 4
 
4.0%
7 3
 
3.0%
9 3
 
3.0%
12 2
 
2.0%
15 2
 
2.0%
Other values (9) 10
10.0%
ValueCountFrequency (%)
0 19
19.0%
1 21
21.0%
2 20
20.0%
3 6
 
6.0%
4 10
10.0%
5 4
 
4.0%
6 1
 
1.0%
7 3
 
3.0%
8 2
 
2.0%
9 3
 
3.0%
ValueCountFrequency (%)
59 1
 
1.0%
43 1
 
1.0%
39 1
 
1.0%
16 1
 
1.0%
15 2
2.0%
14 1
 
1.0%
13 1
 
1.0%
12 2
2.0%
10 1
 
1.0%
9 3
3.0%

favorite_co
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.42
Minimum0
Maximum25
Zeros33
Zeros (%)33.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:43:45.289628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33.25
95-th percentile7.1
Maximum25
Range25
Interquartile range (IQR)3.25

Descriptive statistics

Standard deviation3.785085
Coefficient of variation (CV)1.5640847
Kurtosis16.16646
Mean2.42
Median Absolute Deviation (MAD)1
Skewness3.5454483
Sum242
Variance14.326869
MonotonicityNot monotonic
2023-12-10T18:43:45.561152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 33
33.0%
1 23
23.0%
2 12
 
12.0%
4 10
 
10.0%
3 7
 
7.0%
5 5
 
5.0%
6 4
 
4.0%
7 1
 
1.0%
9 1
 
1.0%
19 1
 
1.0%
Other values (3) 3
 
3.0%
ValueCountFrequency (%)
0 33
33.0%
1 23
23.0%
2 12
 
12.0%
3 7
 
7.0%
4 10
 
10.0%
5 5
 
5.0%
6 4
 
4.0%
7 1
 
1.0%
9 1
 
1.0%
10 1
 
1.0%
ValueCountFrequency (%)
25 1
 
1.0%
19 1
 
1.0%
15 1
 
1.0%
10 1
 
1.0%
9 1
 
1.0%
7 1
 
1.0%
6 4
 
4.0%
5 5
5.0%
4 10
10.0%
3 7
7.0%

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
0255DOM_000000201001001000ko/uploadImgs/files/cntnts/20191222164810529_thumbLhttps://www.visitbusan.net/index.do?menuCd=DOM_000000201001001000&uc_seq=255&lang_cd=ko가파른 절벽 끝에 흰여울문화마을흰여울길에서 만난 느림의 미학흰여울문화마을명소자연영도구35.07885129.044022#자연,#바다,#문화예술마을,#흰여울문화마을,#바다풍경,#절영해안산책로,#절벽,#계단,#골목길,#휴가,#추천여행,#원도심투어<NA>마을주민들이 살고 있으니 기본 에티켓은 지켜주세요.도시철도 1호선 남포역 6번 출구 → 7, 71, 508 버스 환승 → 영선동 백련사 하차버스 7,71,508 영선동 백련사 하차부산시티투어버스 부산역(점보버스) → 흰여울문화마을 하차주차 절영해안산책로 입구 공영 주차장 (유료)<NA><NA><NA>무료<NA>4335156
1838DOM_000000201001001000ko/uploadImgs/files/cntnts/20200722140028489_thumbLhttps://www.visitbusan.net/index.do?menuCd=DOM_000000201001001000&uc_seq=838&lang_cd=ko부산의 옛 흔적을 찾아, 우암동 소막마을글. 일러스트 여행드로잉작가 정승빈우암동 소막마을명소역사남구35.126194129.075974#부산여행,#부산이색여행,#근현대사,#역사여행,#우암동소막마을,#원도심투어,#부산가볼만한곳,#역사문화재,#테마거리,#부모님과함께,#친구와함께,#아이와함께,#혼자가는여행,#가족여행,#부산음식,#부산맛집,#이달의부산여행,#7월부산여행<NA><NA><NA><NA><NA><NA><NA><NA>104591
2257DOM_000000201001001000ko/uploadImgs/files/cntnts/20191222175627506_thumbLhttps://www.visitbusan.net/index.do?menuCd=DOM_000000201001001000&uc_seq=257&lang_cd=ko해양 문화의 꽃 국립해양박물관해양, 어디까지 알고 있니?국립해양박물관명소문화영도구35.078728129.080185#부산여행,#박물관,#체험학습,#실내여행지,#경치좋은곳,#사계절,#국립해양박물관,#어린이박물관,#가족나들이,#영도여행,#아이와함께도시락을 가지고 온다면 실내 피크닉룸, 야외 피크닉존을 이용할 수 있다.<NA>도시철도 1호선 남포역 6번 출구 → 186, 66번 버스 환승 → 국립해양박물관 하차부산시티투어버스 부산역(점보버스) → 국립해양박물관 하차주차 국립해양박물관 주차장 (유료)<NA>매주 월요일화 ~ 일국립해양박물관 -평일 09:00~18:00 -토요일 [9월~4월] 09:00~19:00 / [5월~8월] 09:00~21:00 -일요일, 공휴일 09:00~19:00 -설날‧추석 익일, 어린이날, 광복절 09:00~21:00 해양도서관 - 09:00~18:00 - 휴관일: 박물관 휴관일 및 법정공휴일관람료 무료(단, 4D영상관, 유료특별전시 제외)<NA>311742
3258DOM_000000201001001000ko/uploadImgs/files/cntnts/20191222180829962_thumbLhttps://www.visitbusan.net/index.do?menuCd=DOM_000000201001001000&uc_seq=258&lang_cd=ko영도 등대와 함께한 100년 태종대가족. 연인, 친구와 함께라면 더없이 좋은태종대 유원지명소자연영도구35.052643129.087799#부산여행,#태종대,#해안절경,#다누비열차,#부산데이트코스,#가족과함께,#인생샷,#영도등대,#등대투어,#뷰포인트다누비 열차 운영 09:20~17:30순환도로 야간 차량 개방 18:00~22:00해상 유람선 운영(소요시간 40분) 각 유람선별 운영시간 상이<NA>도시철도 1호선 부산역 7번 출구 → 66, 88, 101 버스 환승 → 태종대(태종대온천) 하차버스 8, 30, 66, 88, 101, 186 태종대(태종대온천) 하차주차 정문입구 주차장(버스전용), 제7주차장, 자유랜드 주차장 (유료)<NA><NA>하절기 3~10월(04:00~24:00) / 동절기 11~2월(05:00~24:00)무료 (다누비 열차 요금 별도)<NA>4163164
4259DOM_000000201001001000ko/uploadImgs/files/cntnts/20191222181829937_thumbLhttps://www.visitbusan.net/index.do?menuCd=DOM_000000201001001000&uc_seq=259&lang_cd=ko기장바다의 색다른 풍경 죽성성당드라마 세트장의 놀라운 변화죽성성당명소자연기장군35.241013129.248642#포토스폿,#부산여행,#죽성성당,#부산핫플레이스,#죽성드림세트장,#부산데이트코스,#기장죽성성당,#바다풍경,#드라이브코스,#기장해안산책로,#뷰포인트,#바다여행성당을 중심으로 해안산책로가 잘 정비되어있다.두호마을 주민의 생활과 생업에 방해되지 않도록 음주가무 및 야간 고성방가에 유의.차량주차는 통행에 방해가 되지 않도록 유의.버스 해운대온천사거리 정류장 급행 1003 버스 → 기장성당 하차 → 마을버스 6 환승 → 두호마을 하차마을버스 기장군청 정류장 마을버스 6 → 두호마을 하차주차 죽성성당 인근 주차장 (유료)<NA><NA><NA><NA><NA>288173
5260DOM_000000201001001000ko/uploadImgs/files/cntnts/20191222185645736_thumbLhttps://www.visitbusan.net/index.do?menuCd=DOM_000000201001001000&uc_seq=260&lang_cd=ko400년간 지켜온 자연 그대로의 숲을 만나다대나무의 집, 기장 아홉산 숲아홉산 숲명소자연기장군35.287334129.170456#부산여행,#아홉산숲,#대나무숲,#기장가볼만한곳,#부산데이트,#아홉산숲산책로,#부산영화촬영지,#주말여행지물을 꼭 챙기고 걷기 편한 신발 착용모기기피제와 부채 무료대여단체 관광버스 방문 시 예약필수유모차, 자전거, 등산용구(스틱 등) 이용금지 식물채취 및 훼손, 곤충채집 금지애완동물 동반 불가도시철도 1호선 노포역 → 2-3 마을버스 환승 → 미동마을 하차주차 아홉산숲 주차장<NA>매주 월요일평일, 주말 09:00~18:00 (입장마감 16시30분)5,000원 (5세부터)<NA>234884
6261DOM_000000201001001000ko/uploadImgs/files/cntnts/20191222190823385_thumbLhttps://www.visitbusan.net/index.do?menuCd=DOM_000000201001001000&uc_seq=261&lang_cd=ko기장에 가면 해동용궁사바다전망 성지, 해동용궁사를 가다해동용궁사명소문화기장군35.188583129.223465#부산,#자연,#해동용궁사,#사찰,#부산여행,#기장여행,#바다풍경,#해안절경,#일출명소,#해안산책로,#해파랑길,#갈맷길,#국립수산과학원,#추천여행,#데이트코스,#뷰포인트해안산책로와 연결된 국립수산과학원에서 신기하고 재미있는 바다체험을 즐길 수 있다.힐튼호텔 아난티코브 타운이 근처에 있어 데이트 코스로도 추천.사찰 경내에서는 목소리를 낮춘다.법당 출입 시 정면에 있는 문(스님만 출입)을 사용하지 말고 측면의 문으로 출입한다.신발은 가지런히 벗어 놓는다.도시철도 2호선 해운대역 7번 출구 → 181, 100, 해운대 9 버스 환승 → 해동용궁사 하차동해선 오시리아역 1번 출구 → 오시리아역 버스정류장 139 버스 환승 → 해동용궁사 하차부산시티투어버스 부산역(레드라인) → 해운대해수욕장 버스 환승(블루라인 ) → 해동용궁사 하차주차 해동용궁사 주차장 (유료)<NA><NA>매일, 05:00 ~ 일몰 시까지<NA><NA>3153144
7848DOM_000000201001001000ko/uploadImgs/files/cntnts/20200729150013892_thumbLhttps://www.visitbusan.net/index.do?menuCd=DOM_000000201001001000&uc_seq=848&lang_cd=ko부산치유의 숲마냥 걷기만 해도 좋은 숲부산치유의숲명소자연기장군35.269482129.129547#부산여행,#부산가볼만한곳,#전망좋은곳,#경치좋은곳,#산책하기좋은돗,#숲속여행,#산,#도보여행,#숲길,#등산,#힐링,#부모님과함께,#친구와함께,#혼자가는여행,#아이와함께,#여름여행,#부산치유의숲,#이달의부산여행,#7월부산여행<NA>부산치유의 숲은 상수원보호구역입니다.-흡연, 음주, 취사(캠핑)행위 금지-자전거 및 오토바이 출입금지-무단채취 및 훼손 금지도시철도 1호선 범어사역 2번 출구, 마을버스 기장군2-3 환승, 부산치유의 숲 하차주차 부산치유의 숲 주차장상시설날∙추석 당일 휴무매일무료<NA>51556
8264DOM_000000201001001000ko/uploadImgs/files/cntnts/20191224171115847_thumbLhttps://www.visitbusan.net/index.do?menuCd=DOM_000000201001001000&uc_seq=264&lang_cd=ko오래된 이야기가 있는 곳, 문화공감수정 그리고 초량1941근대목조 건물과 함께 하는 여유로운 초량 카페 투어문화공감 수정, 초량1941명소문화동구35.125794129.042648#부산원도심,#초량카페,#문화공감수정,#초량1941,#일본식가옥,#초량이바구길,#부산카페,#부산여행,#부산가볼만한곳,#힐링,#근대문화,#핫플레이스,#포토스폿,#원도심투어문화공감 수정 내부 구경 무료초량1941 이바구길의 끝자락에 위치해 부산의 경치를 한눈에 담기 좋은 장소문화공감 수정 어르신들이 일을 하고 있기에 존중하는 자세를 가지자.초량1941 노키드존(10세 미만 출입 제한), 내부 사진 촬영 금지문화공감 수정도시철도 1호선 부산진역 1번 출구 도보 7분버스 103 경남여중 하차 59, 67, 81, 167 고관입구 하차부산역에서 택시로 기본요금초량1941버스 22, 38, 52, 86, 186 금수사 하차부산역에서 택시로 기본요금<NA>문화공감 수정 명절 휴무초량1941 매주 월요일문화공감 수정 매일 09:00~18:00초량1941 화~일 11:00~19:00메뉴판 참조<NA>352754
9265DOM_000000201001001000ko/uploadImgs/files/cntnts/20191225143353231_thumbLhttps://www.visitbusan.net/index.do?menuCd=DOM_000000201001001000&uc_seq=265&lang_cd=ko부산바다의 과거와 현재, 일광해수욕장트렌디한 해양스포츠부터 옛 풍경까지일광해수욕장명소자연기장군35.260025129.233597#부산바다,#일광해수욕장,#기장여행,#부산여행,#부산가볼만한곳,#해수욕장,#여름국내여행지,#바캉스,#물놀이,#부산명소,#해양레포츠,#바다여행해변 양 끝으로 텐트 설치 허용 구역이 있다(무료).샤워장 이용 전 몸에 묻은 모래 씻고 이용할 것 지정된 장소, 시간 외 해수욕, 쓰레기 투기, 취사, 야영 금지백사장 흡연, 모래 채취 금지도시철도 2호선 해운대역 → 1006, 180번 버스환승 → 일광해수욕장 입구 하차버스 188, 180, 1006 일광해수욕장 입구 하차마을버스 기장군2, 기장군8-1, 기장군9, 기장군3, 기장군8 일광해수욕장 입구 하차개장기간 : 매년 7월 1일 ~ 8월 31일<NA>09:00~18:00 (개장 중 입수가능 시간)무료<NA>169621
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
90444DOM_000000201001001000ko/uploadImgs/files/cntnts/20191231180337567_thumbLhttps://www.visitbusan.net/index.do?menuCd=DOM_000000201001001000&uc_seq=444&lang_cd=ko하늘과 바다가 만나는 길, 가덕도 연대봉미처 몰랐던 부산의 한 조각을 만나다가덕도 연대봉명소자연강서구35.026874128.833954#가덕도,#연대봉,#등산,#바다,#섬,#거가대교,#산,#거제도,#봉수대,#부산등산,#부산트래킹,#가족여행,#부산가볼만한곳,#부산당일코스,#뷰포인트,#포토스폿<NA><NA>도시철도 1호선 하단역 3번 출구 → 버스 520 환승 → 전망대 정류장 하차 연대봉까지 도보 이동<NA>연중무휴상시무료<NA>259932
91445DOM_000000201001001000ko/uploadImgs/files/cntnts/20191231181104098_thumbLhttps://www.visitbusan.net/index.do?menuCd=DOM_000000201001001000&uc_seq=445&lang_cd=ko부산의 가을을 담은 승학산 억새평원억새평원이 주는 넉넉함과 소박한 아름다움승학산 억새평원명소자연사하구35.116604128.979675#자연,#산,#가을여행,#전망좋은곳,#등산,#트레킹,#승학산,#억새,#억새평원,#부산억새,#하단,#낙동강,#을숙도,#가을감성,#가을등산,#가을트레킹,#승학산억새,#부산등산,#뷰포인트,#포토스폿<NA><NA>도시철도 1호선 당리역 1번 출구 → 마을버스 사하구2, 2-1 동원베네스트2차아파트 하차 등산로 도보 이동버스 123, 126, 138, 16, 2, 3, 520, 58-2, 1001 사하구청 하차 도보 23분<NA>연중무휴상시무료<NA>156921
92450DOM_000000201001001000ko/uploadImgs/files/cntnts/20191231184354051_thumbLhttps://www.visitbusan.net/index.do?menuCd=DOM_000000201001001000&uc_seq=450&lang_cd=ko이야기와 예술이 있는 대룡마을부산 예술가들이 모여 사는 곳대룡마을명소문화기장군35.371174129.264328#부산,#장안읍,#오리,#대룡마을,#복합문화공간,#예술인창작촌,#갤러리,#전설,#방앗간,#도서관,#담장,#산책,#주말,#추천여행,#부산여행,#부산데이트코스,#무인카페,#산책하기좋은곳<NA>마을에는 주민들이 살고 있으니 너무 소란스럽게 하지 말아 주세요.버스 187 대룡마을 하차주차 대룡마을 공영주차장(무료)<NA>연중무휴상시무료<NA>105811
93456DOM_000000201001001000ko/uploadImgs/files/cntnts/20191231192024538_thumbLhttps://www.visitbusan.net/index.do?menuCd=DOM_000000201001001000&uc_seq=456&lang_cd=ko힐링이 필요한 날 대신공원대신공원대신공원명소자연서구35.121811129.01564#부산여행,#공원,#대신공원,#구덕저수지,#산책하기좋은곳,#힐링,#숲속여행,#피크닉,#소풍<NA><NA>버스 167, 190 동아대학교병원 하차 도보 5분마을버스 서구5 동아대학교 구덕캠퍼스 하차 도보 4분주차 대신공원 공영주차장(유료)<NA>연중무휴상시무료<NA>127601
94457DOM_000000201001001000ko/uploadImgs/files/cntnts/20191231192531286_thumbLhttps://www.visitbusan.net/index.do?menuCd=DOM_000000201001001000&uc_seq=457&lang_cd=ko소풍 명당 화명수목원화명수목원화명수목원명소자연북구35.252571129.042053#부산여행,#자연,#산,#수목원,#화명수목원,#산책하기좋은곳,#힐링,#소풍,#피크닉<NA><NA>도시철도 2호선 화명역 6번 출구 → 마을버스 금정구1 환승 → 화명수목원 하차주차 화명수목원 주차장<NA>월요일, 1월 1일, 추석‧설 당일화~일09:00~18:00(3~10월)09:00~17:00(11~2월)무료<NA>148910
95458DOM_000000201001001000ko/uploadImgs/files/cntnts/20191231193124555_thumbLhttps://www.visitbusan.net/index.do?menuCd=DOM_000000201001001000&uc_seq=458&lang_cd=ko천년의 향기 선암사선암사선암사명소문화부산진구35.176968129.02771#부산여행,#부산가볼만한곳,#숲속여행,#사찰,#절,#힐링,#산책로,#경치좋은곳,#선암사<NA><NA>도시철도 1호선 서면역 9번 출구 → 롯데호텔백화점 맞은편 정류장 버스 17, 23 환승 → 선암사 입구 하차 도보 14분주차 선암사 주차장<NA>연중무휴상시무료<NA>171812
96459DOM_000000201001001000ko/uploadImgs/files/cntnts/20191231193736138_thumbLhttps://www.visitbusan.net/index.do?menuCd=DOM_000000201001001000&uc_seq=459&lang_cd=ko운수사에 서면 낙동강이 내 품으로운수사운수사명소문화사상구35.184319129.013458#부산여행,#부산가볼만한곳,#사찰,#절,#운수사,#산책하기좋은곳,#힐링,#숲속여행<NA><NA>도시철도 2호선 모라역 3번 출구 → 버스 148 환승 → 운수사 입구 하차 도보 17분주차 운수사 주차장<NA>연중무휴상시무료<NA>169901
97463DOM_000000201001001000ko/uploadImgs/files/cntnts/20191231201409836_thumbLhttps://www.visitbusan.net/index.do?menuCd=DOM_000000201001001000&uc_seq=463&lang_cd=ko가족과 함께 룰루랄라 스포원파크즐겁고 안전한 가족놀이터를 찾는다면?스포원파크명소자연금정구35.291504129.104874#자연,#공원,#부산여행,#부산가볼만한곳,#스포원파크,#피크닉,#나들이,#산책,#조깅,#자전거여행,#수변공원,#레포츠체험,#아이와함께,#가족여행자전거대여 가능(유료)<NA>도시철도 1호선 노포역 하차 1번 출구 → 버스 환승 29, 37, 49, 51, 80, 90, 131, 148, 301, 금정구2-2 금정공영차고지 하차 도보 12분<NA>공원 연중무휴스포츠센터 매주 2, 4주 월요일홈페이지 참조홈페이지 참조<NA>162220
98483DOM_000000201001001000ko/uploadImgs/files/cntnts/20200101164518953_thumbLhttps://www.visitbusan.net/index.do?menuCd=DOM_000000201001001000&uc_seq=483&lang_cd=ko소막마을을 아시나요?근대역사 문화유산우암동 소막마을명소역사남구35.125599129.070175#부산여행,#근현대사,#문화유산,#역사여행,#걷기여행,#골목길,#우암동,#소막마을,#동항성당,#다크투어리즘,#원도심투어<NA>실제 주민의 거주공간이니 조용히 둘러보자.버스 134, 23, 26, 68, 138-1, 168 남부중앙새마을금고 하차 도보 3분<NA><NA>상시무료<NA>161600
99501DOM_000000201001001000ko/uploadImgs/files/cntnts/20200102125306322_thumbLhttps://www.visitbusan.net/index.do?menuCd=DOM_000000201001001000&uc_seq=501&lang_cd=ko언제나 그 자리에, 충렬사충렬사충렬사명소역사동래구35.201191129.096069#부산여행,#가족여행,#기념관,#전통,#문화유적지,#체험학습,#역사여행,#부산충렬사,#산책,#아이와함께,#친구와함께<NA><NA>도시철도 4호선 충렬사역 1번 출구 도보 1분버스 105, 129-1, 148, 29, 42, 99, 1010 낙민역 하차주차 충렬사 주차장<NA>연중무휴09:00~21:00(4~9월)09:00~20:00(10~3월)본전/기념관 09:00~18:00무료<NA>240422