Overview

Dataset statistics

Number of variables12
Number of observations630
Missing cells1393
Missing cells (%)18.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory59.8 KiB
Average record size in memory97.2 B

Variable types

Numeric1
Categorical2
Text9

Dataset

Description고유번호,언어,상호명,콘텐츠URL,주소,신주소,전화번호,웹사이트,운영시간,운영요일,휴무일,교통정보
Author서울관광재단
URLhttps://data.seoul.go.kr/dataList/OA-21051/S/1/datasetView.do

Alerts

언어 is highly overall correlated with 운영요일High correlation
운영요일 is highly overall correlated with 언어High correlation
운영요일 is highly imbalanced (69.4%)Imbalance
전화번호 has 146 (23.2%) missing valuesMissing
웹사이트 has 297 (47.1%) missing valuesMissing
운영시간 has 335 (53.2%) missing valuesMissing
휴무일 has 527 (83.7%) missing valuesMissing
교통정보 has 86 (13.7%) missing valuesMissing
고유번호 has unique valuesUnique

Reproduction

Analysis started2024-05-11 00:29:09.222719
Analysis finished2024-05-11 00:29:22.643966
Duration13.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

고유번호
Real number (ℝ)

UNIQUE 

Distinct630
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22293.21
Minimum34
Maximum45716
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.7 KiB
2024-05-11T00:29:22.990429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34
5-th percentile1783.45
Q14821.25
median24092
Q335650
95-th percentile43768.55
Maximum45716
Range45682
Interquartile range (IQR)30828.75

Descriptive statistics

Standard deviation14639.341
Coefficient of variation (CV)0.65667264
Kurtosis-1.3427894
Mean22293.21
Median Absolute Deviation (MAD)12914
Skewness-0.1606388
Sum14044722
Variance2.143103 × 108
MonotonicityNot monotonic
2024-05-11T00:29:23.528222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2029 1
 
0.2%
27296 1
 
0.2%
38795 1
 
0.2%
38810 1
 
0.2%
38812 1
 
0.2%
1841 1
 
0.2%
4063 1
 
0.2%
12993 1
 
0.2%
12996 1
 
0.2%
30179 1
 
0.2%
Other values (620) 620
98.4%
ValueCountFrequency (%)
34 1
0.2%
35 1
0.2%
91 1
0.2%
92 1
0.2%
93 1
0.2%
369 1
0.2%
371 1
0.2%
378 1
0.2%
379 1
0.2%
667 1
0.2%
ValueCountFrequency (%)
45716 1
0.2%
45714 1
0.2%
45713 1
0.2%
45710 1
0.2%
45709 1
0.2%
45706 1
0.2%
45701 1
0.2%
45696 1
0.2%
45694 1
0.2%
45692 1
0.2%

언어
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
ko
131 
zh-TW
126 
ja
125 
en
124 
zh-CN
124 

Length

Max length5
Median length2
Mean length3.1904762
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowko
2nd rowen
3rd rowko
4th rowko
5th rowzh-CN

Common Values

ValueCountFrequency (%)
ko 131
20.8%
zh-TW 126
20.0%
ja 125
19.8%
en 124
19.7%
zh-CN 124
19.7%

Length

2024-05-11T00:29:24.103397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:29:24.581033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ko 131
20.8%
zh-tw 126
20.0%
ja 125
19.8%
en 124
19.7%
zh-cn 124
19.7%

상호명
Text

Distinct599
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2024-05-11T00:29:25.327369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length42
Mean length10.104762
Min length2

Characters and Unicode

Total characters6366
Distinct characters629
Distinct categories9 ?
Distinct scripts6 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique569 ?
Unique (%)90.3%

Sample

1st row홍릉시험림(홍릉숲)
2nd rowHongneung Arboretum
3rd row마로니에공원
4th row올림픽공원
5th row波拉梅公?
ValueCountFrequency (%)
park 71
 
7.5%
mountain 17
 
1.8%
hangang 11
 
1.2%
forest 10
 
1.1%
야경 9
 
0.9%
공원 7
 
0.7%
7
 
0.7%
stream 6
 
0.6%
night 6
 
0.6%
ecological 6
 
0.6%
Other values (696) 799
84.2%
2024-05-11T00:29:26.679688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
343
 
5.4%
a 308
 
4.8%
? 253
 
4.0%
n 230
 
3.6%
o 195
 
3.1%
公 184
 
2.9%
e 162
 
2.5%
r 162
 
2.5%
ン 140
 
2.2%
園 131
 
2.1%
Other values (619) 4258
66.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3130
49.2%
Lowercase Letter 2000
31.4%
Uppercase Letter 358
 
5.6%
Space Separator 344
 
5.4%
Other Punctuation 284
 
4.5%
Close Punctuation 120
 
1.9%
Open Punctuation 120
 
1.9%
Dash Punctuation 8
 
0.1%
Final Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
公 184
 
5.9%
ン 140
 
4.5%
園 131
 
4.2%
山 90
 
2.9%
원 74
 
2.4%
공 65
 
2.1%
江 37
 
1.2%
サ 36
 
1.2%
ル 33
 
1.1%
산 31
 
1.0%
Other values (556) 2309
73.8%
Lowercase Letter
ValueCountFrequency (%)
a 308
15.4%
n 230
11.5%
o 195
9.8%
e 162
 
8.1%
r 162
 
8.1%
g 119
 
5.9%
i 104
 
5.2%
k 101
 
5.1%
l 90
 
4.5%
s 86
 
4.3%
Other values (15) 443
22.1%
Uppercase Letter
ValueCountFrequency (%)
P 79
22.1%
S 36
10.1%
M 30
 
8.4%
H 24
 
6.7%
N 23
 
6.4%
G 22
 
6.1%
C 17
 
4.7%
B 17
 
4.7%
F 16
 
4.5%
E 11
 
3.1%
Other values (13) 83
23.2%
Other Punctuation
ValueCountFrequency (%)
? 253
89.1%
· 13
 
4.6%
& 8
 
2.8%
' 5
 
1.8%
, 3
 
1.1%
: 1
 
0.4%
： 1
 
0.4%
Space Separator
ValueCountFrequency (%)
343
99.7%
　 1
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 117
97.5%
） 3
 
2.5%
Open Punctuation
ValueCountFrequency (%)
( 117
97.5%
（ 3
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2358
37.0%
Han 1691
26.6%
Common 878
 
13.8%
Hangul 773
 
12.1%
Katakana 646
 
10.1%
Hiragana 20
 
0.3%

Most frequent character per script

Han
ValueCountFrequency (%)
公 184
 
10.9%
園 131
 
7.7%
山 90
 
5.3%
江 37
 
2.2%
川 26
 
1.5%
景 26
 
1.5%
夜 26
 
1.5%
林 26
 
1.5%
漢 25
 
1.5%
道 23
 
1.4%
Other values (265) 1097
64.9%
Hangul
ValueCountFrequency (%)
원 74
 
9.6%
공 65
 
8.4%
산 31
 
4.0%
서 21
 
2.7%
이 13
 
1.7%
강 12
 
1.6%
길 12
 
1.6%
울 12
 
1.6%
화 12
 
1.6%
한 12
 
1.6%
Other values (210) 509
65.8%
Katakana
ValueCountFrequency (%)
ン 140
21.7%
サ 36
 
5.6%
ル 33
 
5.1%
ソ 31
 
4.8%
チ 30
 
4.6%
ョ 28
 
4.3%
ウ 23
 
3.6%
ク 23
 
3.6%
ム 17
 
2.6%
ハ 15
 
2.3%
Other values (57) 270
41.8%
Latin
ValueCountFrequency (%)
a 308
 
13.1%
n 230
 
9.8%
o 195
 
8.3%
e 162
 
6.9%
r 162
 
6.9%
g 119
 
5.0%
i 104
 
4.4%
k 101
 
4.3%
l 90
 
3.8%
s 86
 
3.6%
Other values (38) 801
34.0%
Common
ValueCountFrequency (%)
343
39.1%
? 253
28.8%
) 117
 
13.3%
( 117
 
13.3%
· 13
 
1.5%
& 8
 
0.9%
- 8
 
0.9%
' 5
 
0.6%
（ 3
 
0.3%
） 3
 
0.3%
Other values (5) 8
 
0.9%
Hiragana
ValueCountFrequency (%)
の 17
85.0%
ち 1
 
5.0%
り 1
 
5.0%
び 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3213
50.5%
CJK 1691
26.6%
Hangul 773
 
12.1%
Katakana 646
 
10.1%
None 21
 
0.3%
Hiragana 20
 
0.3%
Punctuation 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
343
 
10.7%
a 308
 
9.6%
? 253
 
7.9%
n 230
 
7.2%
o 195
 
6.1%
e 162
 
5.0%
r 162
 
5.0%
g 119
 
3.7%
) 117
 
3.6%
( 117
 
3.6%
Other values (47) 1207
37.6%
CJK
ValueCountFrequency (%)
公 184
 
10.9%
園 131
 
7.7%
山 90
 
5.3%
江 37
 
2.2%
川 26
 
1.5%
景 26
 
1.5%
夜 26
 
1.5%
林 26
 
1.5%
漢 25
 
1.5%
道 23
 
1.4%
Other values (265) 1097
64.9%
Katakana
ValueCountFrequency (%)
ン 140
21.7%
サ 36
 
5.6%
ル 33
 
5.1%
ソ 31
 
4.8%
チ 30
 
4.6%
ョ 28
 
4.3%
ウ 23
 
3.6%
ク 23
 
3.6%
ム 17
 
2.6%
ハ 15
 
2.3%
Other values (57) 270
41.8%
Hangul
ValueCountFrequency (%)
원 74
 
9.6%
공 65
 
8.4%
산 31
 
4.0%
서 21
 
2.7%
이 13
 
1.7%
강 12
 
1.6%
길 12
 
1.6%
울 12
 
1.6%
화 12
 
1.6%
한 12
 
1.6%
Other values (210) 509
65.8%
Hiragana
ValueCountFrequency (%)
の 17
85.0%
ち 1
 
5.0%
り 1
 
5.0%
び 1
 
5.0%
None
ValueCountFrequency (%)
· 13
61.9%
（ 3
 
14.3%
） 3
 
14.3%
　 1
 
4.8%
： 1
 
4.8%
Punctuation
ValueCountFrequency (%)
’ 2
100.0%

콘텐츠URL
Text

Distinct628
Distinct (%)100.0%
Missing2
Missing (%)0.3%
Memory size5.1 KiB
2024-05-11T00:29:27.884969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length200
Median length157
Mean length125.16879
Min length114

Characters and Unicode

Total characters78606
Distinct characters613
Distinct categories12 ?
Distinct scripts7 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique628 ?
Unique (%)100.0%

Sample

1st rowhttps://korean.visitseoul.net/nature/설화수-발란스-스파/KOP002029?utm_source=seoulopendata&utm_medium=nature&utm_content=KOP002029
2nd rowhttps://english.visitseoul.net/nature/성수연방/ENP002029?utm_source=seoulopendata&utm_medium=nature&utm_content=ENP002029
3rd rowhttps://korean.visitseoul.net/nature/Темплстей-в-храме-Хвагеса-/KOP002071?utm_source=seoulopendata&utm_medium=nature&utm_content=KOP002071
4th rowhttps://korean.visitseoul.net/nature/千年食香/KOP002139?utm_source=seoulopendata&utm_medium=nature&utm_content=KOP002139
5th rowhttps://chinese.visitseoul.net/nature/波拉梅公?/CNP002189?utm_source=seoulopendata&utm_medium=nature&utm_content=CNP002189
ValueCountFrequency (%)
https://tchinese.visitseoul.net/nature/仙遊島公園/tcp000378?utm_source=seoulopendata&utm_medium=nature&utm_content=tcp000378 1
 
0.2%
https://japanese.visitseoul.net/nature/seosomun-historical-park-jp/jpp029945?utm_source=seoulopendata&utm_medium=nature&utm_content=jpp029945 1
 
0.2%
https://korean.visitseoul.net/nature/망우산-사색의-길/kop027296?utm_source=seoulopendata&utm_medium=nature&utm_content=kop027296 1
 
0.2%
https://english.visitseoul.net/nature/eungbongsanmountainpalgakjeongpavilion/enp038785?utm_source=seoulopendata&utm_medium=nature&utm_content=enp038785 1
 
0.2%
https://tchinese.visitseoul.net/nature/鷹峰山八角亭/tcp038785?utm_source=seoulopendata&utm_medium=nature&utm_content=tcp038785 1
 
0.2%
https://tchinese.visitseoul.net/nature/鷹峰山夜景/tcp038786?utm_source=seoulopendata&utm_medium=nature&utm_content=tcp038786 1
 
0.2%
https://japanese.visitseoul.net/nature/seoul-forest-jp/jpp001838?utm_source=seoulopendata&utm_medium=nature&utm_content=jpp001838 1
 
0.2%
https://english.visitseoul.net/nature/gildong-ecological-park/enp004063?utm_source=seoulopendata&utm_medium=nature&utm_content=enp004063 1
 
0.2%
https://korean.visitseoul.net/nature/여의도-한강공원소녀시대숲/kop012993?utm_source=seoulopendata&utm_medium=nature&utm_content=kop012993 1
 
0.2%
https://korean.visitseoul.net/nature/응봉산-팔각정/kop038785?utm_source=seoulopendata&utm_medium=nature&utm_content=kop038785 1
 
0.2%
Other values (618) 618
98.4%
2024-05-11T00:29:29.643907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 7846
 
10.0%
e 7002
 
8.9%
u 5819
 
7.4%
n 4849
 
6.2%
s 3835
 
4.9%
o 3620
 
4.6%
a 3464
 
4.4%
m 3224
 
4.1%
/ 3140
 
4.0%
i 2468
 
3.1%
Other values (603) 33339
42.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 53606
68.2%
Decimal Number 7277
 
9.3%
Other Punctuation 7104
 
9.0%
Uppercase Letter 4286
 
5.5%
Other Letter 2033
 
2.6%
Math Symbol 1884
 
2.4%
Connector Punctuation 1884
 
2.4%
Dash Punctuation 519
 
0.7%
Open Punctuation 5
 
< 0.1%
Close Punctuation 5
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
公 123
 
6.1%
園 72
 
3.5%
山 71
 
3.5%
원 64
 
3.1%
공 57
 
2.8%
산 38
 
1.9%
ン 34
 
1.7%
江 25
 
1.2%
서 22
 
1.1%
夜 20
 
1.0%
Other values (502) 1507
74.1%
Lowercase Letter
ValueCountFrequency (%)
t 7846
14.6%
e 7002
13.1%
u 5819
10.9%
n 4849
9.0%
s 3835
7.2%
o 3620
 
6.8%
a 3464
 
6.5%
m 3224
 
6.0%
i 2468
 
4.6%
r 2307
 
4.3%
Other values (38) 9172
17.1%
Uppercase Letter
ValueCountFrequency (%)
P 1599
37.3%
C 531
 
12.4%
N 520
 
12.1%
T 276
 
6.4%
J 267
 
6.2%
E 264
 
6.2%
K 261
 
6.1%
O 259
 
6.0%
S 56
 
1.3%
M 41
 
1.0%
Other values (17) 212
 
4.9%
Decimal Number
ValueCountFrequency (%)
0 2255
31.0%
2 914
12.6%
3 850
 
11.7%
1 656
 
9.0%
9 566
 
7.8%
6 538
 
7.4%
7 484
 
6.7%
8 447
 
6.1%
5 302
 
4.2%
4 265
 
3.6%
Other Punctuation
ValueCountFrequency (%)
/ 3140
44.2%
. 1257
17.7%
& 1256
 
17.7%
? 821
 
11.6%
: 628
 
8.8%
： 1
 
< 0.1%
, 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
（ 4
80.0%
( 1
 
20.0%
Close Punctuation
ValueCountFrequency (%)
） 4
80.0%
) 1
 
20.0%
Math Symbol
ValueCountFrequency (%)
= 1884
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1884
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 519
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%
Format
ValueCountFrequency (%)
­ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 57837
73.6%
Common 18681
 
23.8%
Han 1169
 
1.5%
Hangul 717
 
0.9%
Katakana 143
 
0.2%
Cyrillic 55
 
0.1%
Hiragana 4
 
< 0.1%

Most frequent character per script

Han
ValueCountFrequency (%)
公 123
 
10.5%
園 72
 
6.2%
山 71
 
6.1%
江 25
 
2.1%
夜 20
 
1.7%
景 20
 
1.7%
首 17
 
1.5%
川 17
 
1.5%
林 16
 
1.4%
道 15
 
1.3%
Other values (248) 773
66.1%
Hangul
ValueCountFrequency (%)
원 64
 
8.9%
공 57
 
7.9%
산 38
 
5.3%
서 22
 
3.1%
이 15
 
2.1%
울 14
 
2.0%
천 13
 
1.8%
대 13
 
1.8%
한 11
 
1.5%
경 10
 
1.4%
Other values (195) 460
64.2%
Latin
ValueCountFrequency (%)
t 7846
13.6%
e 7002
12.1%
u 5819
10.1%
n 4849
 
8.4%
s 3835
 
6.6%
o 3620
 
6.3%
a 3464
 
6.0%
m 3224
 
5.6%
i 2468
 
4.3%
r 2307
 
4.0%
Other values (39) 13403
23.2%
Katakana
ValueCountFrequency (%)
ン 34
23.8%
サ 12
 
8.4%
ル 9
 
6.3%
チ 7
 
4.9%
ジ 4
 
2.8%
ソ 4
 
2.8%
ョ 4
 
2.8%
イ 4
 
2.8%
プ 4
 
2.8%
ボ 3
 
2.1%
Other values (37) 58
40.6%
Common
ValueCountFrequency (%)
/ 3140
16.8%
0 2255
12.1%
= 1884
10.1%
_ 1884
10.1%
. 1257
 
6.7%
& 1256
 
6.7%
2 914
 
4.9%
3 850
 
4.6%
? 821
 
4.4%
1 656
 
3.5%
Other values (16) 3764
20.1%
Cyrillic
ValueCountFrequency (%)
а 5
 
9.1%
е 5
 
9.1%
л 4
 
7.3%
в 4
 
7.3%
м 3
 
5.5%
с 3
 
5.5%
р 3
 
5.5%
о 3
 
5.5%
Х 2
 
3.6%
т 2
 
3.6%
Other values (16) 21
38.2%
Hiragana
ValueCountFrequency (%)
の 3
75.0%
び 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 76506
97.3%
CJK 1169
 
1.5%
Hangul 717
 
0.9%
Katakana 143
 
0.2%
Cyrillic 55
 
0.1%
None 10
 
< 0.1%
Hiragana 4
 
< 0.1%
Punctuation 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 7846
 
10.3%
e 7002
 
9.2%
u 5819
 
7.6%
n 4849
 
6.3%
s 3835
 
5.0%
o 3620
 
4.7%
a 3464
 
4.5%
m 3224
 
4.2%
/ 3140
 
4.1%
i 2468
 
3.2%
Other values (60) 31239
40.8%
CJK
ValueCountFrequency (%)
公 123
 
10.5%
園 72
 
6.2%
山 71
 
6.1%
江 25
 
2.1%
夜 20
 
1.7%
景 20
 
1.7%
首 17
 
1.5%
川 17
 
1.5%
林 16
 
1.4%
道 15
 
1.3%
Other values (248) 773
66.1%
Hangul
ValueCountFrequency (%)
원 64
 
8.9%
공 57
 
7.9%
산 38
 
5.3%
서 22
 
3.1%
이 15
 
2.1%
울 14
 
2.0%
천 13
 
1.8%
대 13
 
1.8%
한 11
 
1.5%
경 10
 
1.4%
Other values (195) 460
64.2%
Katakana
ValueCountFrequency (%)
ン 34
23.8%
サ 12
 
8.4%
ル 9
 
6.3%
チ 7
 
4.9%
ジ 4
 
2.8%
ソ 4
 
2.8%
ョ 4
 
2.8%
イ 4
 
2.8%
プ 4
 
2.8%
ボ 3
 
2.1%
Other values (37) 58
40.6%
Cyrillic
ValueCountFrequency (%)
а 5
 
9.1%
е 5
 
9.1%
л 4
 
7.3%
в 4
 
7.3%
м 3
 
5.5%
с 3
 
5.5%
р 3
 
5.5%
о 3
 
5.5%
Х 2
 
3.6%
т 2
 
3.6%
Other values (16) 21
38.2%
None
ValueCountFrequency (%)
（ 4
40.0%
） 4
40.0%
： 1
 
10.0%
­ 1
 
10.0%
Hiragana
ValueCountFrequency (%)
の 3
75.0%
び 1
 
25.0%
Punctuation
ValueCountFrequency (%)
’ 2
100.0%

주소
Text

Distinct554
Distinct (%)87.9%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2024-05-11T00:29:30.402958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length77
Median length60
Mean length25.82381
Min length2

Characters and Unicode

Total characters16269
Distinct characters483
Distinct categories10 ?
Distinct scripts5 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique525 ?
Unique (%)83.3%

Sample

1st row 서울 동대문구 청량리동 207
2nd row130-712 207, Cheongnyangni 1(il)-dong, Dongdaemun-gu, Seoul
3rd row 서울 종로구 동숭동 1-119
4th row138-749 서울 송파구 방이동 88
5th row156-849 首?市?雀?新大方洞
ValueCountFrequency (%)
서울 133
 
6.4%
seoul 128
 
6.2%
korea 36
 
1.7%
jongno-gu 21
 
1.0%
마포구 19
 
0.9%
종로구 19
 
0.9%
산 17
 
0.8%
노원구 15
 
0.7%
서대문구 14
 
0.7%
영등포구 13
 
0.6%
Other values (832) 1655
80.0%
2024-05-11T00:29:32.197056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2251
 
13.8%
1 957
 
5.9%
- 913
 
5.6%
0 624
 
3.8%
o 569
 
3.5%
g 501
 
3.1%
? 488
 
3.0%
n 482
 
3.0%
2 448
 
2.8%
, 420
 
2.6%
Other values (473) 8616
53.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4621
28.4%
Decimal Number 3799
23.4%
Lowercase Letter 3207
19.7%
Space Separator 2251
13.8%
Other Punctuation 928
 
5.7%
Dash Punctuation 913
 
5.6%
Uppercase Letter 450
 
2.8%
Open Punctuation 49
 
0.3%
Close Punctuation 49
 
0.3%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
洞 309
 
6.7%
市 287
 
6.2%
首 213
 
4.6%
서 186
 
4.0%
구 164
 
3.5%
동 164
 
3.5%
울 152
 
3.3%
ソ 119
 
2.6%
區 114
 
2.5%
ウ 113
 
2.4%
Other values (411) 2800
60.6%
Lowercase Letter
ValueCountFrequency (%)
o 569
17.7%
g 501
15.6%
n 482
15.0%
u 357
11.1%
e 292
9.1%
a 249
7.8%
d 166
 
5.2%
l 144
 
4.5%
i 62
 
1.9%
r 51
 
1.6%
Other values (12) 334
10.4%
Uppercase Letter
ValueCountFrequency (%)
S 182
40.4%
J 48
 
10.7%
G 41
 
9.1%
K 36
 
8.0%
Y 33
 
7.3%
M 26
 
5.8%
D 18
 
4.0%
B 17
 
3.8%
N 14
 
3.1%
H 7
 
1.6%
Other values (9) 28
 
6.2%
Decimal Number
ValueCountFrequency (%)
1 957
25.2%
0 624
16.4%
2 448
11.8%
3 363
 
9.6%
5 310
 
8.2%
4 295
 
7.8%
8 288
 
7.6%
7 194
 
5.1%
9 180
 
4.7%
6 140
 
3.7%
Other Punctuation
ValueCountFrequency (%)
? 488
52.6%
, 420
45.3%
、 14
 
1.5%
· 4
 
0.4%
， 2
 
0.2%
Math Symbol
ValueCountFrequency (%)
> 1
50.0%
< 1
50.0%
Space Separator
ValueCountFrequency (%)
2251
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 913
100.0%
Open Punctuation
ValueCountFrequency (%)
( 49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 49
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7991
49.1%
Latin 3657
22.5%
Han 2601
 
16.0%
Hangul 1510
 
9.3%
Katakana 510
 
3.1%

Most frequent character per script

Han
ValueCountFrequency (%)
洞 309
 
11.9%
市 287
 
11.0%
首 213
 
8.2%
區 114
 
4.4%
爾 111
 
4.3%
山 93
 
3.6%
浦 65
 
2.5%
路 63
 
2.4%
江 44
 
1.7%
西 41
 
1.6%
Other values (213) 1261
48.5%
Hangul
ValueCountFrequency (%)
서 186
 
12.3%
구 164
 
10.9%
동 164
 
10.9%
울 152
 
10.1%
산 48
 
3.2%
포 35
 
2.3%
대 35
 
2.3%
원 31
 
2.1%
로 25
 
1.7%
마 22
 
1.5%
Other values (140) 648
42.9%
Katakana
ValueCountFrequency (%)
ソ 119
23.3%
ウ 113
22.2%
ル 113
22.2%
ン 47
 
9.2%
ド 10
 
2.0%
ク 9
 
1.8%
ム 9
 
1.8%
ョ 8
 
1.6%
チ 7
 
1.4%
ナ 5
 
1.0%
Other values (38) 70
13.7%
Latin
ValueCountFrequency (%)
o 569
15.6%
g 501
13.7%
n 482
13.2%
u 357
9.8%
e 292
8.0%
a 249
 
6.8%
S 182
 
5.0%
d 166
 
4.5%
l 144
 
3.9%
i 62
 
1.7%
Other values (31) 653
17.9%
Common
ValueCountFrequency (%)
2251
28.2%
1 957
12.0%
- 913
11.4%
0 624
 
7.8%
? 488
 
6.1%
2 448
 
5.6%
, 420
 
5.3%
3 363
 
4.5%
5 310
 
3.9%
4 295
 
3.7%
Other values (11) 922
11.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11628
71.5%
CJK 2592
 
15.9%
Hangul 1510
 
9.3%
Katakana 510
 
3.1%
None 20
 
0.1%
CJK Compat Ideographs 9
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2251
19.4%
1 957
 
8.2%
- 913
 
7.9%
0 624
 
5.4%
o 569
 
4.9%
g 501
 
4.3%
? 488
 
4.2%
n 482
 
4.1%
2 448
 
3.9%
, 420
 
3.6%
Other values (49) 3975
34.2%
CJK
ValueCountFrequency (%)
洞 309
 
11.9%
市 287
 
11.1%
首 213
 
8.2%
區 114
 
4.4%
爾 111
 
4.3%
山 93
 
3.6%
浦 65
 
2.5%
路 63
 
2.4%
江 44
 
1.7%
西 41
 
1.6%
Other values (208) 1252
48.3%
Hangul
ValueCountFrequency (%)
서 186
 
12.3%
구 164
 
10.9%
동 164
 
10.9%
울 152
 
10.1%
산 48
 
3.2%
포 35
 
2.3%
대 35
 
2.3%
원 31
 
2.1%
로 25
 
1.7%
마 22
 
1.5%
Other values (140) 648
42.9%
Katakana
ValueCountFrequency (%)
ソ 119
23.3%
ウ 113
22.2%
ル 113
22.2%
ン 47
 
9.2%
ド 10
 
2.0%
ク 9
 
1.8%
ム 9
 
1.8%
ョ 8
 
1.6%
チ 7
 
1.4%
ナ 5
 
1.0%
Other values (38) 70
13.7%
None
ValueCountFrequency (%)
、 14
70.0%
· 4
 
20.0%
， 2
 
10.0%
CJK Compat Ideographs
ValueCountFrequency (%)
陵 3
33.3%
蘆 2
22.2%
良 2
22.2%
龍 1
 
11.1%
落 1
 
11.1%

신주소
Text

Distinct583
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2024-05-11T00:29:33.083041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length104
Median length60
Mean length33.585714
Min length2

Characters and Unicode

Total characters21159
Distinct characters662
Distinct categories10 ?
Distinct scripts5 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique557 ?
Unique (%)88.4%

Sample

1st row02455 서울 동대문구 회기로 57 (청량리동, 국립산림과학원)
2nd row02455, 57, Hoegi-ro, Dongdaemun-gu, Seoul
3rd row03086 서울 종로구 대학로 104 (동숭동)
4th row05540 서울 송파구 올림픽로 424 (방이동, 올림픽공원)
5th row07062 首?特?市?雀?新大方洞395?（汝矣大方路20街33?）
ValueCountFrequency (%)
seoul 137
 
5.5%
서울 92
 
3.7%
korea 30
 
1.2%
서울특별시 27
 
1.1%
03900 24
 
1.0%
jongno-gu 22
 
0.9%
종로구 18
 
0.7%
01802 15
 
0.6%
mapo-gu 14
 
0.6%
마포구 14
 
0.6%
Other values (1131) 2099
84.2%
2024-05-11T00:29:34.589548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2512
 
11.9%
0 1081
 
5.1%
1 666
 
3.1%
o 643
 
3.0%
? 635
 
3.0%
3 542
 
2.6%
2 508
 
2.4%
, 507
 
2.4%
- 491
 
2.3%
g 476
 
2.2%
Other values (652) 13098
61.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7247
34.3%
Decimal Number 4773
22.6%
Lowercase Letter 3494
16.5%
Space Separator 2512
 
11.9%
Other Punctuation 1179
 
5.6%
Uppercase Letter 499
 
2.4%
Dash Punctuation 491
 
2.3%
Close Punctuation 481
 
2.3%
Open Punctuation 481
 
2.3%
Format 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ン 342
 
4.7%
市 317
 
4.4%
路 224
 
3.1%
首 223
 
3.1%
洞 219
 
3.0%
ル 182
 
2.5%
ソ 170
 
2.3%
서 163
 
2.2%
ウ 152
 
2.1%
동 147
 
2.0%
Other values (589) 5108
70.5%
Lowercase Letter
ValueCountFrequency (%)
o 643
18.4%
g 476
13.6%
n 424
12.1%
u 392
11.2%
e 342
9.8%
a 260
7.4%
l 216
 
6.2%
r 167
 
4.8%
i 94
 
2.7%
d 86
 
2.5%
Other values (12) 394
11.3%
Uppercase Letter
ValueCountFrequency (%)
S 195
39.1%
Y 48
 
9.6%
J 41
 
8.2%
G 37
 
7.4%
K 30
 
6.0%
N 26
 
5.2%
M 25
 
5.0%
D 23
 
4.6%
H 17
 
3.4%
B 13
 
2.6%
Other values (9) 44
 
8.8%
Decimal Number
ValueCountFrequency (%)
0 1081
22.6%
1 666
14.0%
3 542
11.4%
2 508
10.6%
4 409
 
8.6%
7 346
 
7.2%
5 340
 
7.1%
8 314
 
6.6%
6 285
 
6.0%
9 282
 
5.9%
Other Punctuation
ValueCountFrequency (%)
? 635
53.9%
, 507
43.0%
、 27
 
2.3%
， 9
 
0.8%
& 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 457
95.0%
） 24
 
5.0%
Open Punctuation
ValueCountFrequency (%)
( 457
95.0%
（ 24
 
5.0%
Space Separator
ValueCountFrequency (%)
2512
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 491
100.0%
Format
ValueCountFrequency (%)
­ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9919
46.9%
Latin 3993
18.9%
Han 3227
 
15.3%
Hangul 2203
 
10.4%
Katakana 1817
 
8.6%

Most frequent character per script

Han
ValueCountFrequency (%)
市 317
 
9.8%
路 224
 
6.9%
首 223
 
6.9%
洞 219
 
6.8%
區 123
 
3.8%
爾 117
 
3.6%
街 86
 
2.7%
浦 78
 
2.4%
山 77
 
2.4%
公 60
 
1.9%
Other values (297) 1703
52.8%
Hangul
ValueCountFrequency (%)
서 163
 
7.4%
동 147
 
6.7%
구 134
 
6.1%
울 129
 
5.9%
로 122
 
5.5%
원 65
 
3.0%
공 51
 
2.3%
산 45
 
2.0%
길 45
 
2.0%
대 36
 
1.6%
Other values (214) 1266
57.5%
Katakana
ValueCountFrequency (%)
ン 342
18.8%
ル 182
 
10.0%
ソ 170
 
9.4%
ウ 152
 
8.4%
ロ 92
 
5.1%
チ 73
 
4.0%
ョ 63
 
3.5%
ド 45
 
2.5%
ク 44
 
2.4%
サ 43
 
2.4%
Other values (58) 611
33.6%
Latin
ValueCountFrequency (%)
o 643
16.1%
g 476
11.9%
n 424
10.6%
u 392
9.8%
e 342
8.6%
a 260
 
6.5%
l 216
 
5.4%
S 195
 
4.9%
r 167
 
4.2%
i 94
 
2.4%
Other values (31) 784
19.6%
Common
ValueCountFrequency (%)
2512
25.3%
0 1081
10.9%
1 666
 
6.7%
? 635
 
6.4%
3 542
 
5.5%
2 508
 
5.1%
, 507
 
5.1%
- 491
 
5.0%
) 457
 
4.6%
( 457
 
4.6%
Other values (12) 2063
20.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13826
65.3%
CJK 3219
 
15.2%
Hangul 2203
 
10.4%
Katakana 1817
 
8.6%
None 86
 
0.4%
CJK Compat Ideographs 8
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2512
18.2%
0 1081
 
7.8%
1 666
 
4.8%
o 643
 
4.7%
? 635
 
4.6%
3 542
 
3.9%
2 508
 
3.7%
, 507
 
3.7%
- 491
 
3.6%
g 476
 
3.4%
Other values (48) 5765
41.7%
Katakana
ValueCountFrequency (%)
ン 342
18.8%
ル 182
 
10.0%
ソ 170
 
9.4%
ウ 152
 
8.4%
ロ 92
 
5.1%
チ 73
 
4.0%
ョ 63
 
3.5%
ド 45
 
2.5%
ク 44
 
2.4%
サ 43
 
2.4%
Other values (58) 611
33.6%
CJK
ValueCountFrequency (%)
市 317
 
9.8%
路 224
 
7.0%
首 223
 
6.9%
洞 219
 
6.8%
區 123
 
3.8%
爾 117
 
3.6%
街 86
 
2.7%
浦 78
 
2.4%
山 77
 
2.4%
公 60
 
1.9%
Other values (292) 1695
52.7%
Hangul
ValueCountFrequency (%)
서 163
 
7.4%
동 147
 
6.7%
구 134
 
6.1%
울 129
 
5.9%
로 122
 
5.5%
원 65
 
3.0%
공 51
 
2.3%
산 45
 
2.0%
길 45
 
2.0%
대 36
 
1.6%
Other values (214) 1266
57.5%
None
ValueCountFrequency (%)
、 27
31.4%
（ 24
27.9%
） 24
27.9%
， 9
 
10.5%
­ 2
 
2.3%
CJK Compat Ideographs
ValueCountFrequency (%)
落 3
37.5%
蘆 2
25.0%
良 1
 
12.5%
陵 1
 
12.5%
龍 1
 
12.5%

전화번호
Text

MISSING 

Distinct200
Distinct (%)41.3%
Missing146
Missing (%)23.2%
Memory size5.1 KiB
2024-05-11T00:29:35.346745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length39
Mean length14.095041
Min length3

Characters and Unicode

Total characters6822
Distinct characters96
Distinct categories12 ?
Distinct scripts5 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique102 ?
Unique (%)21.1%

Sample

1st row02-961-2777
2nd row+82-2-961-2777
3rd row02-2148-4158
4th row02-410-1114
5th row+82-2-2181-1114
ValueCountFrequency (%)
82-2-2286-6061 12
 
2.4%
82-120 9
 
1.8%
82-2-3783-5977 8
 
1.6%
82-2-300-5501 8
 
1.6%
82-2-3780-0521 7
 
1.4%
82-2-743-7985 7
 
1.4%
82-2-412-0190 7
 
1.4%
82-2-120 5
 
1.0%
82 5
 
1.0%
02-792-5661 5
 
1.0%
Other values (197) 425
85.3%
2024-05-11T00:29:36.639199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1311
19.2%
2 1284
18.8%
8 645
9.5%
0 615
9.0%
1 483
 
7.1%
+ 382
 
5.6%
3 373
 
5.5%
5 352
 
5.2%
4 315
 
4.6%
7 302
 
4.4%
Other values (86) 760
11.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4933
72.3%
Dash Punctuation 1311
 
19.2%
Math Symbol 395
 
5.8%
Other Letter 80
 
1.2%
Lowercase Letter 32
 
0.5%
Space Separator 17
 
0.2%
Open Punctuation 14
 
0.2%
Close Punctuation 14
 
0.2%
Other Punctuation 14
 
0.2%
Uppercase Letter 6
 
0.1%
Other values (2) 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
山 5
 
6.2%
公 5
 
6.2%
園 4
 
5.0%
漢 3
 
3.8%
立 3
 
3.8%
北 3
 
3.8%
龍 2
 
2.5%
地 2
 
2.5%
ン 2
 
2.5%
課 2
 
2.5%
Other values (43) 49
61.3%
Lowercase Letter
ValueCountFrequency (%)
e 5
15.6%
r 4
12.5%
t 3
9.4%
i 3
9.4%
s 3
9.4%
n 3
9.4%
f 2
 
6.2%
a 2
 
6.2%
c 2
 
6.2%
y 1
 
3.1%
Other values (4) 4
12.5%
Decimal Number
ValueCountFrequency (%)
2 1284
26.0%
8 645
13.1%
0 615
12.5%
1 483
 
9.8%
3 373
 
7.6%
5 352
 
7.1%
4 315
 
6.4%
7 302
 
6.1%
9 287
 
5.8%
6 277
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
D 2
33.3%
G 1
16.7%
P 1
16.7%
Y 1
16.7%
O 1
16.7%
Other Punctuation
ValueCountFrequency (%)
? 11
78.6%
: 1
 
7.1%
& 1
 
7.1%
/ 1
 
7.1%
Math Symbol
ValueCountFrequency (%)
+ 382
96.7%
~ 13
 
3.3%
Open Punctuation
ValueCountFrequency (%)
( 13
92.9%
（ 1
 
7.1%
Close Punctuation
ValueCountFrequency (%)
) 12
85.7%
） 2
 
14.3%
Dash Punctuation
ValueCountFrequency (%)
- 1311
100.0%
Space Separator
ValueCountFrequency (%)
17
100.0%
Control
ValueCountFrequency (%)
5
100.0%
Format
ValueCountFrequency (%)
­ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6704
98.3%
Han 44
 
0.6%
Latin 38
 
0.6%
Hangul 28
 
0.4%
Katakana 8
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1311
19.6%
2 1284
19.2%
8 645
9.6%
0 615
9.2%
1 483
 
7.2%
+ 382
 
5.7%
3 373
 
5.6%
5 352
 
5.3%
4 315
 
4.7%
7 302
 
4.5%
Other values (14) 642
9.6%
Hangul
ValueCountFrequency (%)
공 2
 
7.1%
한 2
 
7.1%
산 2
 
7.1%
원 2
 
7.1%
지 1
 
3.6%
본 1
 
3.6%
부 1
 
3.6%
녹 1
 
3.6%
업 1
 
3.6%
사 1
 
3.6%
Other values (14) 14
50.0%
Han
ValueCountFrequency (%)
山 5
 
11.4%
公 5
 
11.4%
園 4
 
9.1%
漢 3
 
6.8%
立 3
 
6.8%
北 3
 
6.8%
龍 2
 
4.5%
地 2
 
4.5%
課 2
 
4.5%
江 2
 
4.5%
Other values (12) 13
29.5%
Latin
ValueCountFrequency (%)
e 5
13.2%
r 4
10.5%
t 3
 
7.9%
i 3
 
7.9%
s 3
 
7.9%
n 3
 
7.9%
f 2
 
5.3%
D 2
 
5.3%
a 2
 
5.3%
c 2
 
5.3%
Other values (9) 9
23.7%
Katakana
ValueCountFrequency (%)
ン 2
25.0%
プ 1
12.5%
ッ 1
12.5%
カ 1
12.5%
サ 1
12.5%
ウ 1
12.5%
イ 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6738
98.8%
CJK 44
 
0.6%
Hangul 28
 
0.4%
Katakana 8
 
0.1%
None 4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1311
19.5%
2 1284
19.1%
8 645
9.6%
0 615
9.1%
1 483
 
7.2%
+ 382
 
5.7%
3 373
 
5.5%
5 352
 
5.2%
4 315
 
4.7%
7 302
 
4.5%
Other values (30) 676
10.0%
CJK
ValueCountFrequency (%)
山 5
 
11.4%
公 5
 
11.4%
園 4
 
9.1%
漢 3
 
6.8%
立 3
 
6.8%
北 3
 
6.8%
龍 2
 
4.5%
地 2
 
4.5%
課 2
 
4.5%
江 2
 
4.5%
Other values (12) 13
29.5%
None
ValueCountFrequency (%)
） 2
50.0%
（ 1
25.0%
­ 1
25.0%
Katakana
ValueCountFrequency (%)
ン 2
25.0%
プ 1
12.5%
ッ 1
12.5%
カ 1
12.5%
サ 1
12.5%
ウ 1
12.5%
イ 1
12.5%
Hangul
ValueCountFrequency (%)
공 2
 
7.1%
한 2
 
7.1%
산 2
 
7.1%
원 2
 
7.1%
지 1
 
3.6%
본 1
 
3.6%
부 1
 
3.6%
녹 1
 
3.6%
업 1
 
3.6%
사 1
 
3.6%
Other values (14) 14
50.0%

웹사이트
Text

MISSING 

Distinct119
Distinct (%)35.7%
Missing297
Missing (%)47.1%
Memory size5.1 KiB
2024-05-11T00:29:37.592036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length188
Median length92
Mean length49.198198
Min length18

Characters and Unicode

Total characters16383
Distinct characters87
Distinct categories10 ?
Distinct scripts5 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)16.2%

Sample

1st rowhttp://nifos.forest.go.kr/kfsweb/kfi/kfs/cms/cmsView.do?cmsId=FC_001635&mn=UKFR_02_05_02_01
2nd rowhttps://www.forest.go.kr/newkfsweb/html/HtmlPage.do?pg=/rest/rest_0701.html&mn=KFS_14_01_10_02_08
3rd rowhttp://tour.jongno.go.kr/tour/tour/indvdlz/view.do?nttId=34651&menuId=400176&menuNo=400176
4th rowhttps://www.ksponco.or.kr/olympicpark/
5th rowhttp://parks.seoul.go.kr/template/sub/boramae.do
ValueCountFrequency (%)
http://parks.seoul.go.kr/template/sub/worldcuppark.do 15
 
4.5%
http://parks.seoul.go.kr/template/sub/naksan.do 9
 
2.7%
http://parks.seoul.go.kr/template/sub/seonyudo.do 7
 
2.1%
http://nodeul.org 5
 
1.5%
http://bukhan.knps.or.kr 5
 
1.5%
https://treepla.net 5
 
1.5%
https://hangang.seoul.go.kr/archives/46695 5
 
1.5%
http://munha.yongsan.go.kr/pms/contents/contents.do?contseqn=1018&sitecdv=s0000701&decorator=user07ct&menucdv=01020200 5
 
1.5%
http://parks.seoul.go.kr/parks/detailview.do?pidx=18 5
 
1.5%
http://hangangartpark.kr/main 5
 
1.5%
Other values (104) 267
80.2%
2024-05-11T00:29:39.377470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 1479
 
9.0%
t 1144
 
7.0%
. 1115
 
6.8%
o 1012
 
6.2%
e 848
 
5.2%
s 837
 
5.1%
p 753
 
4.6%
r 725
 
4.4%
a 690
 
4.2%
n 619
 
3.8%
Other values (77) 7161
43.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 11021
67.3%
Other Punctuation 3319
 
20.3%
Decimal Number 1507
 
9.2%
Uppercase Letter 231
 
1.4%
Math Symbol 129
 
0.8%
Other Letter 83
 
0.5%
Connector Punctuation 69
 
0.4%
Dash Punctuation 17
 
0.1%
Control 5
 
< 0.1%
Space Separator 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 1144
 
10.4%
o 1012
 
9.2%
e 848
 
7.7%
s 837
 
7.6%
p 753
 
6.8%
r 725
 
6.6%
a 690
 
6.3%
n 619
 
5.6%
k 549
 
5.0%
g 501
 
4.5%
Other values (16) 3343
30.3%
Other Letter
ValueCountFrequency (%)
服 9
 
10.8%
江 7
 
8.4%
化 6
 
7.2%
務 6
 
7.2%
文 6
 
7.2%
公 6
 
7.2%
園 4
 
4.8%
室 3
 
3.6%
ジ 3
 
3.6%
カ 3
 
3.6%
Other values (13) 30
36.1%
Uppercase Letter
ValueCountFrequency (%)
C 45
19.5%
E 41
17.7%
I 20
8.7%
N 20
8.7%
B 19
8.2%
V 18
 
7.8%
A 17
 
7.4%
F 10
 
4.3%
G 8
 
3.5%
P 7
 
3.0%
Other values (7) 26
11.3%
Decimal Number
ValueCountFrequency (%)
0 490
32.5%
1 206
13.7%
5 141
 
9.4%
2 126
 
8.4%
6 103
 
6.8%
9 97
 
6.4%
8 96
 
6.4%
4 88
 
5.8%
3 81
 
5.4%
7 79
 
5.2%
Other Punctuation
ValueCountFrequency (%)
/ 1479
44.6%
. 1115
33.6%
: 332
 
10.0%
% 249
 
7.5%
? 93
 
2.8%
& 51
 
1.5%
Math Symbol
ValueCountFrequency (%)
= 129
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 69
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Control
ValueCountFrequency (%)
5
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11252
68.7%
Common 5048
30.8%
Han 54
 
0.3%
Katakana 27
 
0.2%
Hangul 2
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 1144
 
10.2%
o 1012
 
9.0%
e 848
 
7.5%
s 837
 
7.4%
p 753
 
6.7%
r 725
 
6.4%
a 690
 
6.1%
n 619
 
5.5%
k 549
 
4.9%
g 501
 
4.5%
Other values (33) 3574
31.8%
Common
ValueCountFrequency (%)
/ 1479
29.3%
. 1115
22.1%
0 490
 
9.7%
: 332
 
6.6%
% 249
 
4.9%
1 206
 
4.1%
5 141
 
2.8%
= 129
 
2.6%
2 126
 
2.5%
6 103
 
2.0%
Other values (11) 678
13.4%
Han
ValueCountFrequency (%)
服 9
16.7%
江 7
13.0%
化 6
11.1%
務 6
11.1%
文 6
11.1%
公 6
11.1%
園 4
7.4%
室 3
 
5.6%
川 2
 
3.7%
漢 2
 
3.7%
Other values (3) 3
 
5.6%
Katakana
ValueCountFrequency (%)
ジ 3
11.1%
カ 3
11.1%
イ 3
11.1%
ョ 3
11.1%
ン 3
11.1%
エ 3
11.1%
ャ 3
11.1%
チ 3
11.1%
ル 3
11.1%
Hangul
ValueCountFrequency (%)
쒧 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16300
99.5%
CJK 54
 
0.3%
Katakana 27
 
0.2%
Hangul 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 1479
 
9.1%
t 1144
 
7.0%
. 1115
 
6.8%
o 1012
 
6.2%
e 848
 
5.2%
s 837
 
5.1%
p 753
 
4.6%
r 725
 
4.4%
a 690
 
4.2%
n 619
 
3.8%
Other values (54) 7078
43.4%
CJK
ValueCountFrequency (%)
服 9
16.7%
江 7
13.0%
化 6
11.1%
務 6
11.1%
文 6
11.1%
公 6
11.1%
園 4
7.4%
室 3
 
5.6%
川 2
 
3.7%
漢 2
 
3.7%
Other values (3) 3
 
5.6%
Katakana
ValueCountFrequency (%)
ジ 3
11.1%
カ 3
11.1%
イ 3
11.1%
ョ 3
11.1%
ン 3
11.1%
エ 3
11.1%
ャ 3
11.1%
チ 3
11.1%
ル 3
11.1%
Hangul
ValueCountFrequency (%)
쒧 2
100.0%

운영시간
Text

MISSING 

Distinct218
Distinct (%)73.9%
Missing335
Missing (%)53.2%
Memory size5.1 KiB
2024-05-11T00:29:40.320563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length974
Median length183
Mean length51.227119
Min length2

Characters and Unicode

Total characters15112
Distinct characters642
Distinct categories13 ?
Distinct scripts6 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique193 ?
Unique (%)65.4%

Sample

1st row평일 10:30 - 15:30 3월~11월(화~금)-숲해설(10:30, 13:30, 15:30) 주말 09:00 - 18:00 3월~10월(하절기)-자유관람 주말 09:00 - 17:00 11월~2월(동절기)-자유관람 주말 10:30 - 14:00 3월~11월-숲해설(10:30, 14:00)
2nd row* Weekdays (Tue - Fri) - Forest Commentary Guide 10:30, 13:30, 15:30 (KST) * Weekends (Sat - Sun) - Open Summer Touring (Mar - Oct) 09:00 ? 18:00 (KST) * Weekends (Sat - Sun) - Open Winter Touring (Nov - Feb) 09:00 ? 17:00 (KST) * Weekends (Sat - Sun) - Forest Commentary Guide 10:30, 14:00 (KST)
3rd row05:00~22:00 도보나 자전거 출입 (광장지역은 24:00) 06:00~22:00 차량 출입 ※ 시설물 안전과 방문객의 신변보호를 위해 22시 이후에는 공원 안쪽으로의 출입을 금합니다.
4th row24小??放
5th row[土曜日及び日曜日の自由??] 3月?10月 9:00-18:00 (KST) 11月?2月 9:00-17:00 (KST) [森解?プログラム] 火曜日?金曜日 10:30, 13:30, 15:30 (KST) 土曜日、日曜日 10:30, 14:00 (KST)
ValueCountFrequency (%)
313
 
14.2%
kst 62
 
2.8%
09:00 38
 
1.7%
24:00 27
 
1.2%
22:00 27
 
1.2%
daily 27
 
1.2%
20:00 26
 
1.2%
17:00 26
 
1.2%
18:00 25
 
1.1%
10:00 24
 
1.1%
Other values (845) 1605
73.0%
2024-05-11T00:29:42.038302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2143
 
14.2%
2100
 
13.9%
: 985
 
6.5%
1 709
 
4.7%
2 476
 
3.1%
? 367
 
2.4%
~ 327
 
2.2%
( 269
 
1.8%
) 268
 
1.8%
3 260
 
1.7%
Other values (632) 7208
47.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4432
29.3%
Other Letter 3065
20.3%
Space Separator 2100
13.9%
Lowercase Letter 2075
13.7%
Other Punctuation 1761
 
11.7%
Uppercase Letter 512
 
3.4%
Math Symbol 333
 
2.2%
Open Punctuation 305
 
2.0%
Close Punctuation 304
 
2.0%
Dash Punctuation 219
 
1.4%
Other values (3) 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
月 177
 
5.8%
時 106
 
3.5%
日 91
 
3.0%
월 64
 
2.1%
小 63
 
2.1%
間 58
 
1.9%
시 58
 
1.9%
放 49
 
1.6%
園 41
 
1.3%
간 38
 
1.2%
Other values (543) 2320
75.7%
Lowercase Letter
ValueCountFrequency (%)
e 250
12.0%
r 197
 
9.5%
a 193
 
9.3%
n 163
 
7.9%
o 162
 
7.8%
t 154
 
7.4%
i 143
 
6.9%
s 113
 
5.4%
l 93
 
4.5%
u 90
 
4.3%
Other values (15) 517
24.9%
Uppercase Letter
ValueCountFrequency (%)
S 97
18.9%
T 80
15.6%
K 73
14.3%
M 44
8.6%
O 32
 
6.2%
D 25
 
4.9%
F 24
 
4.7%
P 20
 
3.9%
A 20
 
3.9%
C 15
 
2.9%
Other values (14) 82
16.0%
Other Punctuation
ValueCountFrequency (%)
: 985
55.9%
? 367
 
20.8%
, 132
 
7.5%
、 59
 
3.4%
/ 54
 
3.1%
： 40
 
2.3%
* 34
 
1.9%
※ 30
 
1.7%
. 24
 
1.4%
／ 13
 
0.7%
Other values (4) 23
 
1.3%
Decimal Number
ValueCountFrequency (%)
0 2143
48.4%
1 709
 
16.0%
2 476
 
10.7%
3 260
 
5.9%
4 206
 
4.6%
9 193
 
4.4%
7 132
 
3.0%
5 117
 
2.6%
8 111
 
2.5%
6 85
 
1.9%
Open Punctuation
ValueCountFrequency (%)
( 269
88.2%
（ 20
 
6.6%
[ 12
 
3.9%
【 4
 
1.3%
Close Punctuation
ValueCountFrequency (%)
) 268
88.2%
） 20
 
6.6%
] 12
 
3.9%
】 4
 
1.3%
Math Symbol
ValueCountFrequency (%)
~ 327
98.2%
∼ 4
 
1.2%
+ 2
 
0.6%
Space Separator
ValueCountFrequency (%)
2100
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 219
100.0%
Format
ValueCountFrequency (%)
­ 3
100.0%
Other Symbol
ValueCountFrequency (%)
◎ 2
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9460
62.6%
Latin 2587
 
17.1%
Han 1783
 
11.8%
Hangul 998
 
6.6%
Hiragana 175
 
1.2%
Katakana 109
 
0.7%

Most frequent character per script

Han
ValueCountFrequency (%)
月 177
 
9.9%
時 106
 
5.9%
日 91
 
5.1%
小 63
 
3.5%
間 58
 
3.3%
放 49
 
2.7%
園 41
 
2.3%
開 36
 
2.0%
分 34
 
1.9%
至 31
 
1.7%
Other values (262) 1097
61.5%
Hangul
ValueCountFrequency (%)
월 64
 
6.4%
시 58
 
5.8%
간 38
 
3.8%
일 37
 
3.7%
기 21
 
2.1%
동 20
 
2.0%
지 17
 
1.7%
원 17
 
1.7%
공 17
 
1.7%
입 17
 
1.7%
Other values (194) 692
69.3%
Latin
ValueCountFrequency (%)
e 250
 
9.7%
r 197
 
7.6%
a 193
 
7.5%
n 163
 
6.3%
o 162
 
6.3%
t 154
 
6.0%
i 143
 
5.5%
s 113
 
4.4%
S 97
 
3.7%
l 93
 
3.6%
Other values (39) 1022
39.5%
Katakana
ValueCountFrequency (%)
ン 14
 
12.8%
プ 6
 
5.5%
ラ 6
 
5.5%
グ 5
 
4.6%
ム 5
 
4.6%
タ 5
 
4.6%
ル 5
 
4.6%
ロ 5
 
4.6%
ト 5
 
4.6%
ウ 4
 
3.7%
Other values (33) 49
45.0%
Common
ValueCountFrequency (%)
0 2143
22.7%
2100
22.2%
: 985
10.4%
1 709
 
7.5%
2 476
 
5.0%
? 367
 
3.9%
~ 327
 
3.5%
( 269
 
2.8%
) 268
 
2.8%
3 260
 
2.7%
Other values (30) 1556
16.4%
Hiragana
ValueCountFrequency (%)
の 24
 
13.7%
は 19
 
10.9%
ま 14
 
8.0%
り 11
 
6.3%
に 11
 
6.3%
で 9
 
5.1%
す 8
 
4.6%
る 7
 
4.0%
と 6
 
3.4%
が 6
 
3.4%
Other values (24) 60
34.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11828
78.3%
CJK 1783
 
11.8%
Hangul 998
 
6.6%
None 182
 
1.2%
Hiragana 175
 
1.2%
Katakana 109
 
0.7%
Punctuation 31
 
0.2%
Math Operators 4
 
< 0.1%
Geometric Shapes 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2143
18.1%
2100
17.8%
: 985
 
8.3%
1 709
 
6.0%
2 476
 
4.0%
? 367
 
3.1%
~ 327
 
2.8%
( 269
 
2.3%
) 268
 
2.3%
3 260
 
2.2%
Other values (64) 3924
33.2%
CJK
ValueCountFrequency (%)
月 177
 
9.9%
時 106
 
5.9%
日 91
 
5.1%
小 63
 
3.5%
間 58
 
3.3%
放 49
 
2.7%
園 41
 
2.3%
開 36
 
2.0%
分 34
 
1.9%
至 31
 
1.7%
Other values (262) 1097
61.5%
Hangul
ValueCountFrequency (%)
월 64
 
6.4%
시 58
 
5.8%
간 38
 
3.8%
일 37
 
3.7%
기 21
 
2.1%
동 20
 
2.0%
지 17
 
1.7%
원 17
 
1.7%
공 17
 
1.7%
입 17
 
1.7%
Other values (194) 692
69.3%
None
ValueCountFrequency (%)
、 59
32.4%
： 40
22.0%
） 20
 
11.0%
（ 20
 
11.0%
／ 13
 
7.1%
， 10
 
5.5%
。 8
 
4.4%
【 4
 
2.2%
】 4
 
2.2%
­ 3
 
1.6%
Punctuation
ValueCountFrequency (%)
※ 30
96.8%
‘ 1
 
3.2%
Hiragana
ValueCountFrequency (%)
の 24
 
13.7%
は 19
 
10.9%
ま 14
 
8.0%
り 11
 
6.3%
に 11
 
6.3%
で 9
 
5.1%
す 8
 
4.6%
る 7
 
4.0%
と 6
 
3.4%
が 6
 
3.4%
Other values (24) 60
34.3%
Katakana
ValueCountFrequency (%)
ン 14
 
12.8%
プ 6
 
5.5%
ラ 6
 
5.5%
グ 5
 
4.6%
ム 5
 
4.6%
タ 5
 
4.6%
ル 5
 
4.6%
ロ 5
 
4.6%
ト 5
 
4.6%
ウ 4
 
3.7%
Other values (33) 49
45.0%
Math Operators
ValueCountFrequency (%)
∼ 4
100.0%
Geometric Shapes
ValueCountFrequency (%)
◎ 2
100.0%

운영요일
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct42
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
<NA>
499 
每日
 
21
매일
 
20
?日
 
13
월~일
 
12
Other values (37)
65 

Length

Max length57
Median length4
Mean length4.2571429
Min length2

Unique

Unique26 ?
Unique (%)4.1%

Sample

1st row화~일
2nd row<NA>
3rd row<NA>
4th row월~일
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 499
79.2%
每日 21
 
3.3%
매일 20
 
3.2%
?日 13
 
2.1%
월~일 12
 
1.9%
週一~週日 6
 
1.0%
화~일 5
 
0.8%
周一~周日 5
 
0.8%
Daily 5
 
0.8%
周一至周日 4
 
0.6%
Other values (32) 40
 
6.3%

Length

2024-05-11T00:29:42.768954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 499
75.6%
每日 21
 
3.2%
매일 20
 
3.0%
日 13
 
2.0%
월~일 12
 
1.8%
週一~週日 6
 
0.9%
화~일 6
 
0.9%
daily 6
 
0.9%
周一~周日 5
 
0.8%
연중무휴 4
 
0.6%
Other values (52) 68
 
10.3%

휴무일
Text

MISSING 

Distinct53
Distinct (%)51.5%
Missing527
Missing (%)83.7%
Memory size5.1 KiB
2024-05-11T00:29:43.720959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length141
Median length69
Mean length14.194175
Min length1

Characters and Unicode

Total characters1462
Distinct characters255
Distinct categories11 ?
Distinct scripts6 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)40.8%

Sample

1st row-월요일 -5월 1일 -법정공휴일(단, 토요일 또는 일요일이 법정공휴일인 경우엔 휴무)
2nd rowClosed Mondays, Labor Day (May 1), All legal holidays (excluding Sundays) [Closed on Saturdays or Sundays that coincide with legal holidays)
3rd row연중무휴
4th row月曜日、5月1日、日曜日を除くすべての法定休日(土曜日または日曜日が法定休日の場合は休み)
5th row每周一，5月1日，除了周日以外的所有法定公休日（若周六日是法定公休日休?）
ValueCountFrequency (%)
open 12
 
5.0%
year 12
 
5.0%
全年無休 11
 
4.6%
round 11
 
4.6%
年中無休 9
 
3.8%
mondays 9
 
3.8%
연중무휴 9
 
3.8%
월요일 8
 
3.3%
closed 8
 
3.3%
6
 
2.5%
Other values (116) 144
60.3%
2024-05-11T00:29:45.165480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
142
 
9.7%
a 52
 
3.6%
n 50
 
3.4%
休 50
 
3.4%
e 47
 
3.2%
o 43
 
2.9%
d 40
 
2.7%
? 40
 
2.7%
r 37
 
2.5%
年 35
 
2.4%
Other values (245) 926
63.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 674
46.1%
Lowercase Letter 428
29.3%
Space Separator 142
 
9.7%
Other Punctuation 101
 
6.9%
Uppercase Letter 49
 
3.4%
Close Punctuation 22
 
1.5%
Open Punctuation 22
 
1.5%
Decimal Number 18
 
1.2%
Dash Punctuation 4
 
0.3%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
休 50
 
7.4%
年 35
 
5.2%
日 33
 
4.9%
無 26
 
3.9%
一 24
 
3.6%
中 21
 
3.1%
全 19
 
2.8%
月 17
 
2.5%
일 17
 
2.5%
曜 16
 
2.4%
Other values (185) 416
61.7%
Lowercase Letter
ValueCountFrequency (%)
a 52
12.1%
n 50
11.7%
e 47
11.0%
o 43
10.0%
d 40
9.3%
r 37
8.6%
y 32
7.5%
s 29
6.8%
l 21
 
4.9%
u 20
 
4.7%
Other values (11) 57
13.3%
Uppercase Letter
ValueCountFrequency (%)
M 11
22.4%
O 10
20.4%
C 7
14.3%
S 5
10.2%
L 3
 
6.1%
P 3
 
6.1%
Z 2
 
4.1%
D 2
 
4.1%
E 1
 
2.0%
A 1
 
2.0%
Other values (4) 4
 
8.2%
Other Punctuation
ValueCountFrequency (%)
? 40
39.6%
、 29
28.7%
, 11
 
10.9%
： 6
 
5.9%
. 4
 
4.0%
* 3
 
3.0%
， 2
 
2.0%
※ 2
 
2.0%
/ 1
 
1.0%
& 1
 
1.0%
Other values (2) 2
 
2.0%
Decimal Number
ValueCountFrequency (%)
1 11
61.1%
5 4
 
22.2%
2 2
 
11.1%
8 1
 
5.6%
Open Punctuation
ValueCountFrequency (%)
( 17
77.3%
（ 4
 
18.2%
[ 1
 
4.5%
Close Punctuation
ValueCountFrequency (%)
) 19
86.4%
） 3
 
13.6%
Space Separator
ValueCountFrequency (%)
142
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 477
32.6%
Han 448
30.6%
Common 311
21.3%
Hangul 189
 
12.9%
Hiragana 28
 
1.9%
Katakana 9
 
0.6%

Most frequent character per script

Han
ValueCountFrequency (%)
休 50
 
11.2%
年 35
 
7.8%
日 33
 
7.4%
無 26
 
5.8%
一 24
 
5.4%
中 21
 
4.7%
全 19
 
4.2%
月 17
 
3.8%
曜 16
 
3.6%
周 13
 
2.9%
Other values (82) 194
43.3%
Hangul
ValueCountFrequency (%)
일 17
 
9.0%
휴 16
 
8.5%
무 13
 
6.9%
월 13
 
6.9%
요 12
 
6.3%
중 10
 
5.3%
연 10
 
5.3%
이 4
 
2.1%
우 3
 
1.6%
단 3
 
1.6%
Other values (70) 88
46.6%
Latin
ValueCountFrequency (%)
a 52
10.9%
n 50
10.5%
e 47
9.9%
o 43
9.0%
d 40
 
8.4%
r 37
 
7.8%
y 32
 
6.7%
s 29
 
6.1%
l 21
 
4.4%
u 20
 
4.2%
Other values (25) 106
22.2%
Common
ValueCountFrequency (%)
142
45.7%
? 40
 
12.9%
、 29
 
9.3%
) 19
 
6.1%
( 17
 
5.5%
, 11
 
3.5%
1 11
 
3.5%
： 6
 
1.9%
. 4
 
1.3%
5 4
 
1.3%
Other values (15) 28
 
9.0%
Hiragana
ValueCountFrequency (%)
は 5
17.9%
の 5
17.9%
が 2
 
7.1%
み 2
 
7.1%
び 2
 
7.1%
お 1
 
3.6%
よ 1
 
3.6%
し 1
 
3.6%
ま 1
 
3.6%
を 1
 
3.6%
Other values (7) 7
25.0%
Katakana
ValueCountFrequency (%)
ン 3
33.3%
タ 2
22.2%
セ 1
 
11.1%
ク 1
 
11.1%
ト 1
 
11.1%
サ 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 742
50.8%
CJK 448
30.6%
Hangul 189
 
12.9%
None 44
 
3.0%
Hiragana 28
 
1.9%
Katakana 9
 
0.6%
Punctuation 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
142
19.1%
a 52
 
7.0%
n 50
 
6.7%
e 47
 
6.3%
o 43
 
5.8%
d 40
 
5.4%
? 40
 
5.4%
r 37
 
5.0%
y 32
 
4.3%
s 29
 
3.9%
Other values (44) 230
31.0%
CJK
ValueCountFrequency (%)
休 50
 
11.2%
年 35
 
7.8%
日 33
 
7.4%
無 26
 
5.8%
一 24
 
5.4%
中 21
 
4.7%
全 19
 
4.2%
月 17
 
3.8%
曜 16
 
3.6%
周 13
 
2.9%
Other values (82) 194
43.3%
None
ValueCountFrequency (%)
、 29
65.9%
： 6
 
13.6%
（ 4
 
9.1%
） 3
 
6.8%
， 2
 
4.5%
Hangul
ValueCountFrequency (%)
일 17
 
9.0%
휴 16
 
8.5%
무 13
 
6.9%
월 13
 
6.9%
요 12
 
6.3%
중 10
 
5.3%
연 10
 
5.3%
이 4
 
2.1%
우 3
 
1.6%
단 3
 
1.6%
Other values (70) 88
46.6%
Hiragana
ValueCountFrequency (%)
は 5
17.9%
の 5
17.9%
が 2
 
7.1%
み 2
 
7.1%
び 2
 
7.1%
お 1
 
3.6%
よ 1
 
3.6%
し 1
 
3.6%
ま 1
 
3.6%
を 1
 
3.6%
Other values (7) 7
25.0%
Katakana
ValueCountFrequency (%)
ン 3
33.3%
タ 2
22.2%
セ 1
 
11.1%
ク 1
 
11.1%
ト 1
 
11.1%
サ 1
 
11.1%
Punctuation
ValueCountFrequency (%)
※ 2
100.0%

교통정보
Text

MISSING 

Distinct523
Distinct (%)96.1%
Missing86
Missing (%)13.7%
Memory size5.1 KiB
2024-05-11T00:29:46.151274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length340
Median length138
Mean length45.481618
Min length7

Characters and Unicode

Total characters24742
Distinct characters720
Distinct categories12 ?
Distinct scripts6 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique502 ?
Unique (%)92.3%

Sample

1st row6호선 고려대역 3번 출구 도보 약 15분 1호선 청량리역 2번 출구 도보 약 20분
2nd row* Subway Line 6, Korea University Station, Exit 3 (10 mins on foot) * Subway Line 1 & Gyeongui-Jungang Line, Cheongnyangni Station, Exit 2 (15 mins on foot)
3rd row4호선 혜화역 2번 출구 도보 5분
4th row8호선 몽촌토성역 1번 출구 5호선(마천방면) 올림픽공원역 3번 출구
5th row7?? 波拉美站2?出口出?后，步行?15分? 2?? 新大方站4?出口出?后，步行?10分?
ValueCountFrequency (%)
station 154
 
4.5%
subway 143
 
4.2%
line 143
 
4.2%
exit 126
 
3.7%
122
 
3.6%
출구 117
 
3.4%
1 84
 
2.5%
2 82
 
2.4%
3 77
 
2.2%
4 63
 
1.8%
Other values (1080) 2313
67.6%
2024-05-11T00:29:47.748914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3309
 
13.4%
? 1555
 
6.3%
n 679
 
2.7%
i 628
 
2.5%
1 622
 
2.5%
t 600
 
2.4%
o 532
 
2.2%
出 525
 
2.1%
a 501
 
2.0%
口 493
 
2.0%
Other values (710) 15298
61.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9043
36.5%
Lowercase Letter 5238
21.2%
Space Separator 3309
 
13.4%
Decimal Number 3231
 
13.1%
Other Punctuation 2290
 
9.3%
Uppercase Letter 891
 
3.6%
Open Punctuation 330
 
1.3%
Close Punctuation 329
 
1.3%
Dash Punctuation 45
 
0.2%
Math Symbol 31
 
0.1%
Other values (2) 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
出 525
 
5.8%
口 493
 
5.5%
線 349
 
3.9%
站 343
 
3.8%
號 338
 
3.7%
ン 246
 
2.7%
番 217
 
2.4%
번 201
 
2.2%
下 195
 
2.2%
地 193
 
2.1%
Other values (624) 5943
65.7%
Lowercase Letter
ValueCountFrequency (%)
n 679
13.0%
i 628
12.0%
t 600
11.5%
o 532
10.2%
a 501
9.6%
e 325
 
6.2%
u 278
 
5.3%
y 204
 
3.9%
s 198
 
3.8%
b 195
 
3.7%
Other values (15) 1098
21.0%
Uppercase Letter
ValueCountFrequency (%)
S 329
36.9%
L 159
17.8%
E 156
17.5%
G 34
 
3.8%
J 26
 
2.9%
H 24
 
2.7%
C 17
 
1.9%
T 17
 
1.9%
M 15
 
1.7%
Y 15
 
1.7%
Other values (14) 99
 
11.1%
Other Punctuation
ValueCountFrequency (%)
? 1555
67.9%
, 365
 
15.9%
、 128
 
5.6%
* 66
 
2.9%
， 59
 
2.6%
& 50
 
2.2%
. 26
 
1.1%
/ 19
 
0.8%
· 15
 
0.7%
: 3
 
0.1%
Other values (2) 4
 
0.2%
Decimal Number
ValueCountFrequency (%)
1 622
19.3%
2 488
15.1%
0 425
13.2%
3 374
11.6%
5 364
11.3%
4 326
10.1%
6 264
8.2%
7 160
 
5.0%
9 112
 
3.5%
8 95
 
2.9%
Close Punctuation
ValueCountFrequency (%)
) 162
49.2%
」 148
45.0%
） 14
 
4.3%
] 5
 
1.5%
Open Punctuation
ValueCountFrequency (%)
( 162
49.1%
「 148
44.8%
（ 15
 
4.5%
[ 5
 
1.5%
Math Symbol
ValueCountFrequency (%)
→ 19
61.3%
~ 12
38.7%
Space Separator
ValueCountFrequency (%)
3309
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%
Control
ValueCountFrequency (%)
3
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9570
38.7%
Latin 6129
24.8%
Han 5307
21.4%
Hangul 2251
 
9.1%
Katakana 1211
 
4.9%
Hiragana 274
 
1.1%

Most frequent character per script

Han
ValueCountFrequency (%)
出 525
 
9.9%
口 493
 
9.3%
線 349
 
6.6%
站 343
 
6.5%
號 338
 
6.4%
番 217
 
4.1%
下 195
 
3.7%
地 193
 
3.6%
分 188
 
3.5%
行 153
 
2.9%
Other values (320) 2313
43.6%
Hangul
ValueCountFrequency (%)
번 201
 
8.9%
구 171
 
7.6%
선 163
 
7.2%
출 155
 
6.9%
호 147
 
6.5%
역 110
 
4.9%
도 71
 
3.2%
분 70
 
3.1%
보 62
 
2.8%
서 35
 
1.6%
Other values (205) 1066
47.4%
Katakana
ValueCountFrequency (%)
ン 246
20.3%
ョ 55
 
4.5%
チ 49
 
4.0%
ル 48
 
4.0%
ク 48
 
4.0%
ウ 41
 
3.4%
ス 37
 
3.1%
サ 34
 
2.8%
バ 33
 
2.7%
イ 27
 
2.2%
Other values (57) 593
49.0%
Latin
ValueCountFrequency (%)
n 679
 
11.1%
i 628
 
10.2%
t 600
 
9.8%
o 532
 
8.7%
a 501
 
8.2%
S 329
 
5.4%
e 325
 
5.3%
u 278
 
4.5%
y 204
 
3.3%
s 198
 
3.2%
Other values (39) 1855
30.3%
Common
ValueCountFrequency (%)
3309
34.6%
? 1555
16.2%
1 622
 
6.5%
2 488
 
5.1%
0 425
 
4.4%
3 374
 
3.9%
, 365
 
3.8%
5 364
 
3.8%
4 326
 
3.4%
6 264
 
2.8%
Other values (27) 1478
15.4%
Hiragana
ValueCountFrequency (%)
か 63
23.0%
ら 63
23.0%
り 34
12.4%
に 31
11.3%
え 14
 
5.1%
よ 10
 
3.6%
で 9
 
3.3%
の 8
 
2.9%
れ 8
 
2.9%
を 5
 
1.8%
Other values (12) 29
10.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15148
61.2%
CJK 5307
 
21.4%
Hangul 2251
 
9.1%
Katakana 1211
 
4.9%
None 530
 
2.1%
Hiragana 274
 
1.1%
Arrows 19
 
0.1%
Punctuation 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3309
21.8%
? 1555
 
10.3%
n 679
 
4.5%
i 628
 
4.1%
1 622
 
4.1%
t 600
 
4.0%
o 532
 
3.5%
a 501
 
3.3%
2 488
 
3.2%
0 425
 
2.8%
Other values (65) 5809
38.3%
CJK
ValueCountFrequency (%)
出 525
 
9.9%
口 493
 
9.3%
線 349
 
6.6%
站 343
 
6.5%
號 338
 
6.4%
番 217
 
4.1%
下 195
 
3.7%
地 193
 
3.6%
分 188
 
3.5%
行 153
 
2.9%
Other values (320) 2313
43.6%
Katakana
ValueCountFrequency (%)
ン 246
20.3%
ョ 55
 
4.5%
チ 49
 
4.0%
ル 48
 
4.0%
ク 48
 
4.0%
ウ 41
 
3.4%
ス 37
 
3.1%
サ 34
 
2.8%
バ 33
 
2.7%
イ 27
 
2.2%
Other values (57) 593
49.0%
Hangul
ValueCountFrequency (%)
번 201
 
8.9%
구 171
 
7.6%
선 163
 
7.2%
출 155
 
6.9%
호 147
 
6.5%
역 110
 
4.9%
도 71
 
3.2%
분 70
 
3.1%
보 62
 
2.8%
서 35
 
1.6%
Other values (205) 1066
47.4%
None
ValueCountFrequency (%)
「 148
27.9%
」 148
27.9%
、 128
24.2%
， 59
 
11.1%
（ 15
 
2.8%
· 15
 
2.8%
） 14
 
2.6%
。 2
 
0.4%
２ 1
 
0.2%
Hiragana
ValueCountFrequency (%)
か 63
23.0%
ら 63
23.0%
り 34
12.4%
に 31
11.3%
え 14
 
5.1%
よ 10
 
3.6%
で 9
 
3.3%
の 8
 
2.9%
れ 8
 
2.9%
を 5
 
1.8%
Other values (12) 29
10.6%
Arrows
ValueCountFrequency (%)
→ 19
100.0%
Punctuation
ValueCountFrequency (%)
’ 2
100.0%

Interactions

2024-05-11T00:29:19.872770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-11T00:29:48.014771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
고유번호언어운영요일휴무일
고유번호1.0000.3500.8290.000
언어0.3501.0000.9741.000
운영요일0.8290.9741.0000.982
휴무일0.0001.0000.9821.000
2024-05-11T00:29:48.278694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
운영요일언어
운영요일1.0000.732
언어0.7321.000
2024-05-11T00:29:48.507714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
고유번호언어운영요일
고유번호1.0000.1520.412
언어0.1521.0000.732
운영요일0.4120.7321.000

Missing values

2024-05-11T00:29:20.460598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T00:29:21.566221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-05-11T00:29:22.199236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

고유번호언어상호명콘텐츠URL주소신주소전화번호웹사이트운영시간운영요일휴무일교통정보
02029ko홍릉시험림(홍릉숲)https://korean.visitseoul.net/nature/설화수-발란스-스파/KOP002029?utm_source=seoulopendata&utm_medium=nature&utm_content=KOP002029서울 동대문구 청량리동 20702455 서울 동대문구 회기로 57 (청량리동, 국립산림과학원)02-961-2777http://nifos.forest.go.kr/kfsweb/kfi/kfs/cms/cmsView.do?cmsId=FC_001635&mn=UKFR_02_05_02_01평일 10:30 - 15:30 3월~11월(화~금)-숲해설(10:30, 13:30, 15:30) 주말 09:00 - 18:00 3월~10월(하절기)-자유관람 주말 09:00 - 17:00 11월~2월(동절기)-자유관람 주말 10:30 - 14:00 3월~11월-숲해설(10:30, 14:00)화~일-월요일 -5월 1일 -법정공휴일(단, 토요일 또는 일요일이 법정공휴일인 경우엔 휴무)6호선 고려대역 3번 출구 도보 약 15분 1호선 청량리역 2번 출구 도보 약 20분
12042enHongneung Arboretumhttps://english.visitseoul.net/nature/성수연방/ENP002029?utm_source=seoulopendata&utm_medium=nature&utm_content=ENP002029130-712 207, Cheongnyangni 1(il)-dong, Dongdaemun-gu, Seoul02455, 57, Hoegi-ro, Dongdaemun-gu, Seoul+82-2-961-2777https://www.forest.go.kr/newkfsweb/html/HtmlPage.do?pg=/rest/rest_0701.html&mn=KFS_14_01_10_02_08* Weekdays (Tue - Fri) - Forest Commentary Guide 10:30, 13:30, 15:30 (KST) * Weekends (Sat - Sun) - Open Summer Touring (Mar - Oct) 09:00 ? 18:00 (KST) * Weekends (Sat - Sun) - Open Winter Touring (Nov - Feb) 09:00 ? 17:00 (KST) * Weekends (Sat - Sun) - Forest Commentary Guide 10:30, 14:00 (KST)<NA>Closed Mondays, Labor Day (May 1), All legal holidays (excluding Sundays) [Closed on Saturdays or Sundays that coincide with legal holidays)* Subway Line 6, Korea University Station, Exit 3 (10 mins on foot) * Subway Line 1 & Gyeongui-Jungang Line, Cheongnyangni Station, Exit 2 (15 mins on foot)
22087ko마로니에공원https://korean.visitseoul.net/nature/Темплстей-в-храме-Хвагеса-/KOP002071?utm_source=seoulopendata&utm_medium=nature&utm_content=KOP002071서울 종로구 동숭동 1-11903086 서울 종로구 대학로 104 (동숭동)02-2148-4158http://tour.jongno.go.kr/tour/tour/indvdlz/view.do?nttId=34651&menuId=400176&menuNo=400176<NA><NA><NA>4호선 혜화역 2번 출구 도보 5분
32139ko올림픽공원https://korean.visitseoul.net/nature/千年食香/KOP002139?utm_source=seoulopendata&utm_medium=nature&utm_content=KOP002139138-749 서울 송파구 방이동 8805540 서울 송파구 올림픽로 424 (방이동, 올림픽공원)02-410-1114https://www.ksponco.or.kr/olympicpark/05:00~22:00 도보나 자전거 출입 (광장지역은 24:00) 06:00~22:00 차량 출입 ※ 시설물 안전과 방문객의 신변보호를 위해 22시 이후에는 공원 안쪽으로의 출입을 금합니다.월~일연중무휴8호선 몽촌토성역 1번 출구 5호선(마천방면) 올림픽공원역 3번 출구
42208zh-CN波拉梅公?https://chinese.visitseoul.net/nature/波拉梅公?/CNP002189?utm_source=seoulopendata&utm_medium=nature&utm_content=CNP002189156-849 首?市?雀?新大方洞07062 首?特?市?雀?新大方洞395?（汝矣大方路20街33?）+82-2-2181-1114http://parks.seoul.go.kr/template/sub/boramae.do24小??放<NA><NA>7?? 波拉美站2?出口出?后，步行?15分? 2?? 新大方站4?出口出?后，步行?10分?
52043jaホンヌン(洪陵)の森(洪陵樹木園)https://japanese.visitseoul.net/nature/와이앤-컴퍼니/JPP002029?utm_source=seoulopendata&utm_medium=nature&utm_content=JPP002029130-712 ソウル市東大門??싽里洞20702455 ソウル市トンデムン(東大門)?フェギロ57 (?싽里洞)+82-2-961-2777http://eng-nifos.forest.go.kr/kfsweb/kfi/kfs/cms/cmsView.do?cmsId=FC_002150&mn=UEFR_04_02_02[土曜日及び日曜日の自由??] 3月?10月 9:00-18:00 (KST) 11月?2月 9:00-17:00 (KST) [森解?プログラム] 火曜日?金曜日 10:30, 13:30, 15:30 (KST) 土曜日、日曜日 10:30, 14:00 (KST)土曜日及び日曜日は予約なしで自由??可能月曜日、5月1日、日曜日を除くすべての法定休日(土曜日または日曜日が法定休日の場合は休み)地下?1?線?チョンニャンニ??2番出口から徒?15分 地下?6?線?コリョデ??3番出口から徒?10分
62044zh-CN洪陵??林（洪陵林）https://chinese.visitseoul.net/nature/그라운드-케이-/CNP002029?utm_source=seoulopendata&utm_medium=nature&utm_content=CNP002029130-712 首?市?大???凉里洞20702455 首?市?大??回基路57+82-2-961-2777http://nifos.forest.go.kr/kfsweb/kfi/kfs/cms/cmsView.do?cmsId=FC_001635&mn=UKFR_02_05_02_01周中(二~五) ?林解??目 10:30, 13:30, 15:30 (KST) 周末(六, 日) 自由?? 夏季(3月~10月) 09:00 - 18:00, 冬季(11月~2月) 09:00 - 17:00 (KST) 周末(六, 日) ?林解??目 10:30, 14:00 (KST)周二三四五六日 （周六、日无需??，自由??）每周一，5月1日，除了周日以外的所有法定公休日（若周六日是法定公休日休?）6?? 高?大?站??科?技?院洪陵初等?校
72071enMarronnier Parkhttps://english.visitseoul.net/nature/The-Spa-At-Grand-Mercure/ENP002071?utm_source=seoulopendata&utm_medium=nature&utm_content=ENP0020711-124, Dongsung-dong, Jongno-gu, Seoul, Korea03087 104, Daehak-ro, Jongno-gu, Seoul, Korea (동숭동)+82-2-2148-4158<NA><NA><NA><NA>Subway Line 4, Hyehwa Station, Exit 2 (5 mins on foot)
8712zh-TW仙遊島公園https://tchinese.visitseoul.net/nature/仙遊島公園/TCP000378?utm_source=seoulopendata&utm_medium=nature&utm_content=TCP000378150-040 首爾市永登浦區堂山洞 107200 首爾市永登浦區仙遊路343+82-2-2634-7250http://parks.seoul.go.kr/template/sub/seonyudo.do公園 06:00~24:00 展示館 09:00~18:00<NA><NA>地鐵9號線仙遊島站2號出口步行7分鐘
91840ko서울숲https://korean.visitseoul.net/nature/서울숲/KOP001838?utm_source=seoulopendata&utm_medium=nature&utm_content=KOP001838서울시 성동구 성수동1가 685-2004770 성동구 뚝섬로 273(성수동1가, 동부공원여가센터)02-460-2905https://parks.seoul.go.kr/서울숲은 24시간 개방합니다. 생태숲 : 05:30~21:30 (생태보전구역) 곤충식물원 : 10:00~17:00 (매주 월 휴관) 나비정원 : 10:00~17:00 (5~10월, 월 휴관) 생태학습장 : 프로그램 운영 시 개장 바닥분수 가동시간 : 5~9월 가동(월요일 정기점검) -5~6월,9월 : 1,2,3,4시, 30분씩 4회 -7~8월 : 12,1,2,3,4시, 30분씩 5회 호수분수 가동시간 : 5~9월 평일 총 2회(11~13시, 15~16시), 휴일 1회(13~16시) 방문자센터 : 09:00~18:00(연중 무휴) / 동절기 10:00~17:00 (11~2월) 휠체어, 유모차, 보행보조차 대여: 최대 2시간 무료대여(※ 신분증 필요) 커뮤니티센터 : 프로그램 및 전시 등의 운영시 개장월~일연중무휴2호선 뚝섬역 8번 출구 도보 15분 분당선 서울숲역 3,4번 출구 도보 5분
고유번호언어상호명콘텐츠URL주소신주소전화번호웹사이트운영시간운영요일휴무일교통정보
62016320ko낙산공원 야경https://korean.visitseoul.net/nature/낙산공원-야경/KOP016320?utm_source=seoulopendata&utm_medium=nature&utm_content=KOP016320서울 종로구 동숭동 산 2-1003085 서울 종로구 낙산길 41 (동숭동)02-743-7985http://parks.seoul.go.kr/template/sub/naksan.do<NA><NA><NA><NA>
62136978zh-TW箭串街https://tchinese.visitseoul.net/nature/箭串街/TCP036971?utm_source=seoulopendata&utm_medium=nature&utm_content=TCP036971首爾市城東區聖水洞2街284-10804792 首爾市城東區廣渡口路200+82-120<NA><NA><NA><NA>2號線龍踏站2號出口步行357米
62211074ja弘益文化公園https://japanese.visitseoul.net/nature/hongdae-playground-jp/JPP011070?utm_source=seoulopendata&utm_medium=nature&utm_content=JPP011070ソウル市麻浦?西橋洞 359 ホンイク(弘益)大?校ソウル市マポ(麻浦)?ワウサンロ21ギル19-3 (西橋洞)ホンイク(弘益)大?校正門前<NA><NA><NA><NA><NA>地下?6?線サンス?２番出口から600m以?
62316477zh-CN梅峰山夜景https://chinese.visitseoul.net/nature/梅峰山的夜景/CNP016326?utm_source=seoulopendata&utm_medium=nature&utm_content=CNP016326首?特?市中?新堂洞梅峰山公?<NA><NA><NA><NA><NA><NA>
62437364ko안산https://korean.visitseoul.net/nature/안산/KOP037364?utm_source=seoulopendata&utm_medium=nature&utm_content=KOP037364서울 서대문구 봉원동 산 2-103721<NA><NA><NA><NA><NA>무악재역4번 출구에서3224m
62537692zh-CN芝?山https://chinese.visitseoul.net/nature/芝?山/CNP037532?utm_source=seoulopendata&utm_medium=nature&utm_content=CNP037532首??川?新月洞08037 首??川?新月洞<NA><NA><NA><NA><NA><NA>
6262140enOlympic Parkhttps://english.visitseoul.net/nature/Millennial-Dining/ENP002139?utm_source=seoulopendata&utm_medium=nature&utm_content=ENP002139138-749 Bangi-dong, Songpa-gu, Seoul, Korea05540 424, Olympic-ro, Songpa-gu, Seoul+82-2-410-1114https://www.ksponco.or.kr/olympicpark/Open daily 05:00 - 22:00 Pedestrian entrance for walking or bike riding (Gwangjin Station until 24:00) 06:00 - 22:00 Entrance permitted for cars ※ For the protection of visitors and the public facilities, entrance to the park is prohibited after 22:00.<NA><NA>* Subway Line 5, Olympic Park Station, Exit 3 * Subway Line 8, Mongchontoseong Station, Exit 1
62730233zh-TW西小門歷史公園https://tchinese.visitseoul.net/nature/西小門歷史公園/TCP029945?utm_source=seoulopendata&utm_medium=nature&utm_content=TCP029945100-142 首爾市中區義州路2街16-7204510 首爾市中區七牌路5+82-2-3147-2401~2https://www.seosomun.org/retrieveContents.do?mCode=111博物館 09:30~17:30 (週三開放至20:30) 公園 24小時開放<NA>博物館週一休館2、5號線忠正路站4號出口
62835624enHwarangdae Railroad Parkhttps://english.visitseoul.net/nature/HwarangdaeRailroadPark/ENP035622?utm_source=seoulopendata&utm_medium=nature&utm_content=ENP03562229-4, Gongneung-dong, Nowon-gu, Seoul01802 608, Hwarang-ro, Nowon-gu, Seoul<NA><NA>224/7<NA>all year aroundSubway Line 6, Hwarangdae Station, Exit 4
62943767jaトゥクソムハンガン(漢江)公園https://japanese.visitseoul.net/nature/TtukseomHangngRiverpark/JPPbdyynw?utm_source=seoulopendata&utm_medium=nature&utm_content=JPPbdyynw05097 ソウル市クァンジン(?津)?カンビョンブクロ139+82-2-3780-0521https://hangang.seoul.go.kr/www/contents/654.do?mid=449<NA><NA><NA>地下?7?線「トゥクソムュウォンジ」?3番出口