Overview

Dataset statistics

Number of variables29
Number of observations139
Missing cells1771
Missing cells (%)43.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory32.6 KiB
Average record size in memory239.9 B

Variable types

Numeric3
Text14
Unsupported4
Categorical8

Dataset

Description상세고유순번,관리번호,명칭,관련항목,연계자원,경도정보(127.XX),위도정보(36.XXX),이명칭,개요,시대분류,주제분류,지번주소,도로명주소,지역,제공기관,언어유형,제작일,유형,형식,전화번호,지정현황,휴무일,이용시간,이용요금,주차,장애인 편의시설,체험안내,안내서비스,예약
Author중구
URLhttps://data.seoul.go.kr/dataList/OA-13378/S/1/datasetView.do

Alerts

언어유형 has constant value ""Constant
유형 has constant value ""Constant
형식 has constant value ""Constant
안내서비스 has constant value ""Constant
이용요금 is highly imbalanced (78.0%)Imbalance
주차 is highly imbalanced (60.1%)Imbalance
관련항목 has 139 (100.0%) missing valuesMissing
연계자원 has 54 (38.8%) missing valuesMissing
이명칭 has 134 (96.4%) missing valuesMissing
시대분류 has 139 (100.0%) missing valuesMissing
주제분류 has 139 (100.0%) missing valuesMissing
지번주소 has 139 (100.0%) missing valuesMissing
전화번호 has 107 (77.0%) missing valuesMissing
지정현황 has 119 (85.6%) missing valuesMissing
휴무일 has 125 (89.9%) missing valuesMissing
이용시간 has 130 (93.5%) missing valuesMissing
장애인 편의시설 has 136 (97.8%) missing valuesMissing
체험안내 has 136 (97.8%) missing valuesMissing
안내서비스 has 138 (99.3%) missing valuesMissing
예약 has 136 (97.8%) missing valuesMissing
상세고유순번 has unique valuesUnique
관리번호 has unique valuesUnique
명칭 has unique valuesUnique
개요 has unique valuesUnique
관련항목 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시대분류 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주제분류 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지번주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-11 05:23:28.734062
Analysis finished2023-12-11 05:23:30.093372
Duration1.36 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상세고유순번
Real number (ℝ)

UNIQUE 

Distinct139
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean354.55396
Minimum201
Maximum718
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-11T14:23:30.528527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201
5-th percentile207.9
Q1235.5
median270
Q3543.5
95-th percentile683.5
Maximum718
Range517
Interquartile range (IQR)308

Descriptive statistics

Standard deviation171.81297
Coefficient of variation (CV)0.48458908
Kurtosis-0.70919598
Mean354.55396
Median Absolute Deviation (MAD)39
Skewness1.0245935
Sum49283
Variance29519.698
MonotonicityNot monotonic
2023-12-11T14:23:30.739153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
201 1
 
0.7%
298 1
 
0.7%
292 1
 
0.7%
293 1
 
0.7%
294 1
 
0.7%
295 1
 
0.7%
296 1
 
0.7%
297 1
 
0.7%
299 1
 
0.7%
290 1
 
0.7%
Other values (129) 129
92.8%
ValueCountFrequency (%)
201 1
0.7%
202 1
0.7%
203 1
0.7%
204 1
0.7%
205 1
0.7%
206 1
0.7%
207 1
0.7%
208 1
0.7%
209 1
0.7%
210 1
0.7%
ValueCountFrequency (%)
718 1
0.7%
713 1
0.7%
708 1
0.7%
703 1
0.7%
698 1
0.7%
693 1
0.7%
688 1
0.7%
683 1
0.7%
678 1
0.7%
673 1
0.7%

관리번호
Text

UNIQUE 

Distinct139
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-11T14:23:31.137849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters1390
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique139 ?
Unique (%)100.0%

Sample

1st rowJGS_000001
2nd rowJGS_000002
3rd rowJGS_000003
4th rowJGS_000004
5th rowJGS_000005
ValueCountFrequency (%)
jgs_000001 1
 
0.7%
jgs_000106 1
 
0.7%
jgs_000104 1
 
0.7%
jgs_000103 1
 
0.7%
jgs_000102 1
 
0.7%
jgs_000101 1
 
0.7%
jgs_000100 1
 
0.7%
jgs_000099 1
 
0.7%
jgs_000098 1
 
0.7%
jgs_000072 1
 
0.7%
Other values (129) 129
92.8%
2023-12-11T14:23:31.704426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 548
39.4%
J 139
 
10.0%
G 139
 
10.0%
S 139
 
10.0%
_ 139
 
10.0%
1 74
 
5.3%
3 34
 
2.4%
2 34
 
2.4%
6 24
 
1.7%
5 24
 
1.7%
Other values (4) 96
 
6.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 834
60.0%
Uppercase Letter 417
30.0%
Connector Punctuation 139
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 548
65.7%
1 74
 
8.9%
3 34
 
4.1%
2 34
 
4.1%
6 24
 
2.9%
5 24
 
2.9%
4 24
 
2.9%
9 24
 
2.9%
7 24
 
2.9%
8 24
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
J 139
33.3%
G 139
33.3%
S 139
33.3%
Connector Punctuation
ValueCountFrequency (%)
_ 139
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 973
70.0%
Latin 417
30.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 548
56.3%
_ 139
 
14.3%
1 74
 
7.6%
3 34
 
3.5%
2 34
 
3.5%
6 24
 
2.5%
5 24
 
2.5%
4 24
 
2.5%
9 24
 
2.5%
7 24
 
2.5%
Latin
ValueCountFrequency (%)
J 139
33.3%
G 139
33.3%
S 139
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1390
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 548
39.4%
J 139
 
10.0%
G 139
 
10.0%
S 139
 
10.0%
_ 139
 
10.0%
1 74
 
5.3%
3 34
 
2.4%
2 34
 
2.4%
6 24
 
1.7%
5 24
 
1.7%
Other values (4) 96
 
6.9%

명칭
Text

UNIQUE 

Distinct139
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-11T14:23:32.114524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length25
Mean length8.4172662
Min length2

Characters and Unicode

Total characters1170
Distinct characters414
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique139 ?
Unique (%)100.0%

Sample

1st row德壽宮
2nd row德壽宮重明殿
3rd row옠丘壇（圓丘壇）
4th row原俄羅斯公使館
5th row貞洞第一?會
ValueCountFrequency (%)
德壽宮 1
 
0.7%
明洞的小劇場(三一路倉庫劇場等 1
 
0.7%
廣通橋 1
 
0.7%
毛廛橋 1
 
0.7%
溪川的歷史 1
 
0.7%
聖公會聖歌修女院 1
 
0.7%
南山藝術中心 1
 
0.7%
長通橋 1
 
0.7%
中餐廳雅?園的故事 1
 
0.7%
唐人街(駐韓中國大使館附近 1
 
0.7%
Other values (137) 137
93.2%
2023-12-11T14:23:32.689880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
? 30
 
2.6%
( 28
 
2.4%
) 28
 
2.4%
橋 26
 
2.2%
館 25
 
2.1%
的 22
 
1.9%
洞 22
 
1.9%
明 18
 
1.5%
場 15
 
1.3%
大 14
 
1.2%
Other values (404) 942
80.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1001
85.6%
Other Punctuation 42
 
3.6%
Open Punctuation 34
 
2.9%
Close Punctuation 34
 
2.9%
Decimal Number 31
 
2.6%
Lowercase Letter 11
 
0.9%
Space Separator 8
 
0.7%
Math Symbol 3
 
0.3%
Uppercase Letter 3
 
0.3%
Final Punctuation 1
 
0.1%
Other values (2) 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
橋 26
 
2.6%
館 25
 
2.5%
的 22
 
2.2%
洞 22
 
2.2%
明 18
 
1.8%
場 15
 
1.5%
大 14
 
1.4%
首 14
 
1.4%
爾 13
 
1.3%
國 13
 
1.3%
Other values (368) 819
81.8%
Lowercase Letter
ValueCountFrequency (%)
i 2
18.2%
c 2
18.2%
e 1
9.1%
s 1
9.1%
m 1
9.1%
p 1
9.1%
o 1
9.1%
n 1
9.1%
l 1
9.1%
Decimal Number
ValueCountFrequency (%)
0 9
29.0%
1 7
22.6%
9 5
16.1%
5 4
12.9%
6 2
 
6.5%
7 2
 
6.5%
8 1
 
3.2%
3 1
 
3.2%
Other Punctuation
ValueCountFrequency (%)
? 30
71.4%
， 6
 
14.3%
, 3
 
7.1%
' 2
 
4.8%
. 1
 
2.4%
Open Punctuation
ValueCountFrequency (%)
( 28
82.4%
（ 4
 
11.8%
《 2
 
5.9%
Close Punctuation
ValueCountFrequency (%)
) 28
82.4%
） 4
 
11.8%
》 2
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
M 1
33.3%
N 1
33.3%
S 1
33.3%
Space Separator
ValueCountFrequency (%)
8
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Final Punctuation
ValueCountFrequency (%)
” 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
“ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Han 1000
85.5%
Common 155
 
13.2%
Latin 14
 
1.2%
Hangul 1
 
0.1%

Most frequent character per script

Han
ValueCountFrequency (%)
橋 26
 
2.6%
館 25
 
2.5%
的 22
 
2.2%
洞 22
 
2.2%
明 18
 
1.8%
場 15
 
1.5%
大 14
 
1.4%
首 14
 
1.4%
爾 13
 
1.3%
國 13
 
1.3%
Other values (367) 818
81.8%
Common
ValueCountFrequency (%)
? 30
19.4%
( 28
18.1%
) 28
18.1%
0 9
 
5.8%
8
 
5.2%
1 7
 
4.5%
， 6
 
3.9%
9 5
 
3.2%
5 4
 
2.6%
（ 4
 
2.6%
Other values (14) 26
16.8%
Latin
ValueCountFrequency (%)
i 2
14.3%
c 2
14.3%
e 1
7.1%
M 1
7.1%
N 1
7.1%
s 1
7.1%
S 1
7.1%
m 1
7.1%
p 1
7.1%
o 1
7.1%
Other values (2) 2
14.3%
Hangul
ValueCountFrequency (%)
옠 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
CJK 1000
85.5%
ASCII 149
 
12.7%
None 18
 
1.5%
Punctuation 2
 
0.2%
Hangul 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
? 30
20.1%
( 28
18.8%
) 28
18.8%
0 9
 
6.0%
8
 
5.4%
1 7
 
4.7%
9 5
 
3.4%
5 4
 
2.7%
~ 3
 
2.0%
, 3
 
2.0%
Other values (19) 24
16.1%
CJK
ValueCountFrequency (%)
橋 26
 
2.6%
館 25
 
2.5%
的 22
 
2.2%
洞 22
 
2.2%
明 18
 
1.8%
場 15
 
1.5%
大 14
 
1.4%
首 14
 
1.4%
爾 13
 
1.3%
國 13
 
1.3%
Other values (367) 818
81.8%
None
ValueCountFrequency (%)
， 6
33.3%
（ 4
22.2%
） 4
22.2%
》 2
 
11.1%
《 2
 
11.1%
Punctuation
ValueCountFrequency (%)
” 1
50.0%
“ 1
50.0%
Hangul
ValueCountFrequency (%)
옠 1
100.0%

관련항목
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing139
Missing (%)100.0%
Memory size1.4 KiB

연계자원
Text

MISSING 

Distinct85
Distinct (%)100.0%
Missing54
Missing (%)38.8%
Memory size1.2 KiB
2023-12-11T14:23:33.033743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters850
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique85 ?
Unique (%)100.0%

Sample

1st rowJGH_000370
2nd rowJGH_000350
3rd rowJGH_000335
4th rowJGH_000355
5th rowJGH_000367
ValueCountFrequency (%)
jgh_000360 1
 
1.2%
jgh_001149 1
 
1.2%
jgh_000669 1
 
1.2%
jgh_000820 1
 
1.2%
jgh_000381 1
 
1.2%
jgh_000018 1
 
1.2%
jgh_000036 1
 
1.2%
jgh_000462 1
 
1.2%
jgh_000526 1
 
1.2%
jgh_000097 1
 
1.2%
Other values (75) 75
88.2%
2023-12-11T14:23:33.464660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 276
32.5%
J 85
 
10.0%
G 85
 
10.0%
H 85
 
10.0%
_ 85
 
10.0%
1 46
 
5.4%
4 32
 
3.8%
3 30
 
3.5%
5 28
 
3.3%
7 27
 
3.2%
Other values (4) 71
 
8.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 510
60.0%
Uppercase Letter 255
30.0%
Connector Punctuation 85
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 276
54.1%
1 46
 
9.0%
4 32
 
6.3%
3 30
 
5.9%
5 28
 
5.5%
7 27
 
5.3%
2 26
 
5.1%
6 23
 
4.5%
8 12
 
2.4%
9 10
 
2.0%
Uppercase Letter
ValueCountFrequency (%)
J 85
33.3%
G 85
33.3%
H 85
33.3%
Connector Punctuation
ValueCountFrequency (%)
_ 85
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 595
70.0%
Latin 255
30.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 276
46.4%
_ 85
 
14.3%
1 46
 
7.7%
4 32
 
5.4%
3 30
 
5.0%
5 28
 
4.7%
7 27
 
4.5%
2 26
 
4.4%
6 23
 
3.9%
8 12
 
2.0%
Latin
ValueCountFrequency (%)
J 85
33.3%
G 85
33.3%
H 85
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 850
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 276
32.5%
J 85
 
10.0%
G 85
 
10.0%
H 85
 
10.0%
_ 85
 
10.0%
1 46
 
5.4%
4 32
 
3.8%
3 30
 
3.5%
5 28
 
3.3%
7 27
 
3.2%
Other values (4) 71
 
8.4%

경도정보(127.XX)
Real number (ℝ)

Distinct136
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.99109
Minimum126.97063
Maximum127.03793
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-11T14:23:33.652029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.97063
5-th percentile126.97261
Q1126.98046
median126.98598
Q3127.00282
95-th percentile127.0176
Maximum127.03793
Range0.067301
Interquartile range (IQR)0.022365

Descriptive statistics

Standard deviation0.015043339
Coefficient of variation (CV)0.0001184598
Kurtosis0.11521607
Mean126.99109
Median Absolute Deviation (MAD)0.00938
Skewness0.87087351
Sum17651.761
Variance0.00022630206
MonotonicityNot monotonic
2023-12-11T14:23:33.855619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.98378 2
 
1.4%
126.98187 2
 
1.4%
126.97063 2
 
1.4%
126.98283 1
 
0.7%
126.98517 1
 
0.7%
126.98468 1
 
0.7%
126.98509 1
 
0.7%
126.9846 1
 
0.7%
126.98455 1
 
0.7%
126.9849 1
 
0.7%
Other values (126) 126
90.6%
ValueCountFrequency (%)
126.97063 2
1.4%
126.97133 1
0.7%
126.97146 1
0.7%
126.97217 1
0.7%
126.97236 1
0.7%
126.97252 1
0.7%
126.97262 1
0.7%
126.97285 1
0.7%
126.97294 1
0.7%
126.97337 1
0.7%
ValueCountFrequency (%)
127.037931 1
0.7%
127.033545 1
0.7%
127.030354 1
0.7%
127.026658 1
0.7%
127.025354 1
0.7%
127.023407 1
0.7%
127.01905 1
0.7%
127.017441 1
0.7%
127.015917 1
0.7%
127.01503 1
0.7%

위도정보(36.XXX)
Real number (ℝ)

Distinct134
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.563656
Minimum37.55116
Maximum37.572332
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-11T14:23:34.061259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.55116
5-th percentile37.552521
Q137.559335
median37.56481
Q337.56853
95-th percentile37.569886
Maximum37.572332
Range0.021172
Interquartile range (IQR)0.0091955

Descriptive statistics

Standard deviation0.0055815617
Coefficient of variation (CV)0.00014858941
Kurtosis-0.6104961
Mean37.563656
Median Absolute Deviation (MAD)0.00385
Skewness-0.66687544
Sum5221.3482
Variance3.1153831 × 10-5
MonotonicityNot monotonic
2023-12-11T14:23:34.228049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.56339 3
 
2.2%
37.569794 2
 
1.4%
37.568862 2
 
1.4%
37.5662 2
 
1.4%
37.56394 1
 
0.7%
37.56255 1
 
0.7%
37.56231 1
 
0.7%
37.56125 1
 
0.7%
37.56275 1
 
0.7%
37.56303 1
 
0.7%
Other values (124) 124
89.2%
ValueCountFrequency (%)
37.55116 1
0.7%
37.55139 1
0.7%
37.55159 1
0.7%
37.55164 1
0.7%
37.55184 1
0.7%
37.55201 1
0.7%
37.55235 1
0.7%
37.55254 1
0.7%
37.55284 1
0.7%
37.55347 1
0.7%
ValueCountFrequency (%)
37.572332 1
0.7%
37.571725 1
0.7%
37.571037 1
0.7%
37.571027 1
0.7%
37.570804 1
0.7%
37.57076 1
0.7%
37.570278 1
0.7%
37.569842 1
0.7%
37.569826 1
0.7%
37.569794 2
1.4%

이명칭
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing134
Missing (%)96.4%
Memory size1.2 KiB
2023-12-11T14:23:34.428715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length9
Mean length9.4
Min length5

Characters and Unicode

Total characters47
Distinct characters36
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row慶運宮,貞陵洞行宮，西宮
2nd row大韓聖公會首爾聖堂
3rd row美笑專用館
4th row李王家美術館 ,李王職業術館
5th row韓國自由總聯盟
ValueCountFrequency (%)
慶運宮,貞陵洞行宮，西宮 1
16.7%
大韓聖公會首爾聖堂 1
16.7%
美笑專用館 1
16.7%
李王家美術館 1
16.7%
李王職業術館 1
16.7%
韓國自由總聯盟 1
16.7%
2023-12-11T14:23:34.783110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
宮 3
 
6.4%
館 3
 
6.4%
美 2
 
4.3%
韓 2
 
4.3%
, 2
 
4.3%
李 2
 
4.3%
王 2
 
4.3%
術 2
 
4.3%
聖 2
 
4.3%
家 1
 
2.1%
Other values (26) 26
55.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 43
91.5%
Other Punctuation 3
 
6.4%
Space Separator 1
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
宮 3
 
7.0%
館 3
 
7.0%
美 2
 
4.7%
韓 2
 
4.7%
李 2
 
4.7%
王 2
 
4.7%
術 2
 
4.7%
聖 2
 
4.7%
家 1
 
2.3%
職 1
 
2.3%
Other values (23) 23
53.5%
Other Punctuation
ValueCountFrequency (%)
, 2
66.7%
， 1
33.3%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Han 43
91.5%
Common 4
 
8.5%

Most frequent character per script

Han
ValueCountFrequency (%)
宮 3
 
7.0%
館 3
 
7.0%
美 2
 
4.7%
韓 2
 
4.7%
李 2
 
4.7%
王 2
 
4.7%
術 2
 
4.7%
聖 2
 
4.7%
家 1
 
2.3%
職 1
 
2.3%
Other values (23) 23
53.5%
Common
ValueCountFrequency (%)
, 2
50.0%
1
25.0%
， 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
CJK 41
87.2%
ASCII 3
 
6.4%
CJK Compat Ideographs 2
 
4.3%
None 1
 
2.1%

Most frequent character per block

CJK
ValueCountFrequency (%)
宮 3
 
7.3%
館 3
 
7.3%
美 2
 
4.9%
韓 2
 
4.9%
王 2
 
4.9%
術 2
 
4.9%
聖 2
 
4.9%
家 1
 
2.4%
職 1
 
2.4%
專 1
 
2.4%
Other values (22) 22
53.7%
ASCII
ValueCountFrequency (%)
, 2
66.7%
1
33.3%
CJK Compat Ideographs
ValueCountFrequency (%)
李 2
100.0%
None
ValueCountFrequency (%)
， 1
100.0%

개요
Text

UNIQUE 

Distinct139
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-11T14:23:35.046003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length146
Median length88
Mean length56.964029
Min length6

Characters and Unicode

Total characters7918
Distinct characters1045
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique139 ?
Unique (%)100.0%

Sample

1st row舊名稱是慶運宮，但1907年開始被稱?德壽宮。 6萬1500㎡面積上殘留著大漢門，中和門，光明門和中和殿，浚?堂，昔禦堂，石造殿，咸寧殿，卽祚堂等殿閣。
2nd row1901年建造的重明殿是現在德壽宮的慶運宮內包含的建築，被用作接見所及宴會廳，圖書館。是1907年皇太子的慶典宴會?行的場所，也是簽訂乙巳勒約的悲劇場所。日本帝國主義時代的1915年開始被外國人租賃後使用?京城俱樂部。
3rd row옠丘壇是皇帝向天祭祀的祭壇。這裡是繼承朝鮮的大韓帝國高宗皇帝向天祭祀的地方。1897年完工的옠丘壇是當時皇室中最高都邊首的沈宜錫所設計。
4th row1890年（高宗 27）俄羅斯人薩巴?尼(A.I.Sabatin)設計的文藝復興風格的建築。6?25戰爭時期本館被破壞，現在只留下了3層規模的塔。被有名?高宗避難日本武力威脅的俄館播遷現場。
5th row貞洞第一?會是在1895年(高宗 32 )動工, 1897年(光武 1 ) 10月竣工的改新敎?會禮拜堂。
ValueCountFrequency (%)
舊名稱是慶運宮，但1907年開始被稱?德壽宮。 1
 
0.5%
1970年代明洞是在全國地價最高的地方，曾是新的時裝流行過的地方。年輕人把從西歐引進的嬉皮士文化也在茶館和?酒店享用。 1
 
0.5%
由建築家金重業設計，完工於1965年的建築物?30多年用於婦?科醫院，現在被使用於一般辦公室等。露石混凝土和柔和的曲線的形象是此建築物的特徵。 1
 
0.5%
新堂洞炒年?胡同是從1950年代開始的。辣椒醬和?麵醬混在一起發出的辣??而鹹絲絲而?津津的味道具有中毒性。是外國人尋?的旅遊勝地。 1
 
0.5%
是位於首爾特別市中區的歷史文化主題公園。是建於東大門運動場舊址的東大門設計廣場的一部分，是展示建築當時發現的遺物、遺跡。?外，還可觀察過去在東大門運動場進行過的比賽。 1
 
0.5%
此紀念館是保管、展示在曾竣工於日帝??期1925年5月24日後於2007年12月被앯的東大門運動場?行過的比賽及集會關聯記錄物和東大門運動場內部設施的地方。 1
 
0.5%
原位於漢陽都城東大門下面的無間水門就是原在南面的水門。從南山流下來的水流提供二間水門與?溪川主流合流。因作成2個霓虹門參照二間水門。 1
 
0.5%
建於舊東大門運動場的東大門設計廣場是於2009年4月開工，於2014年3月開館的複合文化空間。 1
 
0.5%
從日帝??期到解放,經過6?25戰爭到1960年代?止明洞的茶館是文化藝術家聚集在一起進行討論、工作、休息的場所。 1
 
0.5%
茶館是於日帝??期首次建立,經過光復和 1
 
0.5%
Other values (175) 175
94.6%
2023-12-11T14:23:35.495228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
的 352
 
4.4%
? 239
 
3.0%
。 195
 
2.5%
1 177
 
2.2%
年 145
 
1.8%
9 135
 
1.7%
是 116
 
1.5%
， 112
 
1.4%
於 106
 
1.3%
0 103
 
1.3%
Other values (1035) 6238
78.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6210
78.4%
Decimal Number 741
 
9.4%
Other Punctuation 624
 
7.9%
Lowercase Letter 133
 
1.7%
Space Separator 49
 
0.6%
Uppercase Letter 32
 
0.4%
Close Punctuation 31
 
0.4%
Open Punctuation 31
 
0.4%
Initial Punctuation 26
 
0.3%
Final Punctuation 25
 
0.3%
Other values (3) 16
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
的 352
 
5.7%
年 145
 
2.3%
是 116
 
1.9%
於 106
 
1.7%
建 94
 
1.5%
國 91
 
1.5%
在 73
 
1.2%
場 59
 
1.0%
館 54
 
0.9%
大 51
 
0.8%
Other values (961) 5069
81.6%
Lowercase Letter
ValueCountFrequency (%)
e 17
12.8%
o 14
10.5%
r 12
9.0%
a 11
8.3%
n 11
8.3%
m 10
 
7.5%
i 10
 
7.5%
l 9
 
6.8%
s 7
 
5.3%
y 5
 
3.8%
Other values (13) 27
20.3%
Uppercase Letter
ValueCountFrequency (%)
S 7
21.9%
H 5
15.6%
C 3
9.4%
M 3
9.4%
N 3
9.4%
A 2
 
6.2%
G 2
 
6.2%
F 1
 
3.1%
R 1
 
3.1%
J 1
 
3.1%
Other values (4) 4
12.5%
Decimal Number
ValueCountFrequency (%)
1 177
23.9%
9 135
18.2%
0 103
13.9%
2 64
 
8.6%
5 53
 
7.2%
6 52
 
7.0%
3 49
 
6.6%
7 42
 
5.7%
8 39
 
5.3%
4 27
 
3.6%
Other Punctuation
ValueCountFrequency (%)
? 239
38.3%
。 195
31.2%
， 112
17.9%
、 49
 
7.9%
, 13
 
2.1%
. 10
 
1.6%
' 3
 
0.5%
； 2
 
0.3%
！ 1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 18
58.1%
） 10
32.3%
》 2
 
6.5%
」 1
 
3.2%
Open Punctuation
ValueCountFrequency (%)
( 18
58.1%
（ 10
32.3%
《 2
 
6.5%
「 1
 
3.2%
Math Symbol
ValueCountFrequency (%)
~ 5
71.4%
> 1
 
14.3%
< 1
 
14.3%
Initial Punctuation
ValueCountFrequency (%)
“ 21
80.8%
‘ 5
 
19.2%
Final Punctuation
ValueCountFrequency (%)
” 20
80.0%
’ 5
 
20.0%
Space Separator
ValueCountFrequency (%)
49
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Han 6200
78.3%
Common 1543
 
19.5%
Latin 165
 
2.1%
Hangul 10
 
0.1%

Most frequent character per script

Han
ValueCountFrequency (%)
的 352
 
5.7%
年 145
 
2.3%
是 116
 
1.9%
於 106
 
1.7%
建 94
 
1.5%
國 91
 
1.5%
在 73
 
1.2%
場 59
 
1.0%
館 54
 
0.9%
大 51
 
0.8%
Other values (954) 5059
81.6%
Common
ValueCountFrequency (%)
? 239
15.5%
。 195
12.6%
1 177
11.5%
9 135
 
8.7%
， 112
 
7.3%
0 103
 
6.7%
2 64
 
4.1%
5 53
 
3.4%
6 52
 
3.4%
49
 
3.2%
Other values (27) 364
23.6%
Latin
ValueCountFrequency (%)
e 17
 
10.3%
o 14
 
8.5%
r 12
 
7.3%
a 11
 
6.7%
n 11
 
6.7%
m 10
 
6.1%
i 10
 
6.1%
l 9
 
5.5%
s 7
 
4.2%
S 7
 
4.2%
Other values (27) 57
34.5%
Hangul
ValueCountFrequency (%)
앯 3
30.0%
옠 2
20.0%
앀 1
 
10.0%
슾 1
 
10.0%
쑒 1
 
10.0%
싽 1
 
10.0%
쑮 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
CJK 6200
78.3%
ASCII 1271
 
16.1%
None 385
 
4.9%
Punctuation 51
 
0.6%
Hangul 10
 
0.1%
CJK Compat 1
 
< 0.1%

Most frequent character per block

CJK
ValueCountFrequency (%)
的 352
 
5.7%
年 145
 
2.3%
是 116
 
1.9%
於 106
 
1.7%
建 94
 
1.5%
國 91
 
1.5%
在 73
 
1.2%
場 59
 
1.0%
館 54
 
0.9%
大 51
 
0.8%
Other values (954) 5059
81.6%
ASCII
ValueCountFrequency (%)
? 239
18.8%
1 177
13.9%
9 135
10.6%
0 103
 
8.1%
2 64
 
5.0%
5 53
 
4.2%
6 52
 
4.1%
49
 
3.9%
3 49
 
3.9%
7 42
 
3.3%
Other values (48) 308
24.2%
None
ValueCountFrequency (%)
。 195
50.6%
， 112
29.1%
、 49
 
12.7%
（ 10
 
2.6%
） 10
 
2.6%
《 2
 
0.5%
； 2
 
0.5%
》 2
 
0.5%
「 1
 
0.3%
！ 1
 
0.3%
Punctuation
ValueCountFrequency (%)
“ 21
41.2%
” 20
39.2%
’ 5
 
9.8%
‘ 5
 
9.8%
Hangul
ValueCountFrequency (%)
앯 3
30.0%
옠 2
20.0%
앀 1
 
10.0%
슾 1
 
10.0%
쑒 1
 
10.0%
싽 1
 
10.0%
쑮 1
 
10.0%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%

시대분류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing139
Missing (%)100.0%
Memory size1.4 KiB

주제분류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing139
Missing (%)100.0%
Memory size1.4 KiB

지번주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing139
Missing (%)100.0%
Memory size1.4 KiB

도로명주소
Text

Distinct87
Distinct (%)62.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-11T14:23:35.798267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length29
Mean length16.294964
Min length8

Characters and Unicode

Total characters2265
Distinct characters107
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique74 ?
Unique (%)53.2%

Sample

1st row首爾特別市 中區 世宗大路 99
2nd row首爾特別市 中區 貞洞路 41-11
3rd row首爾特別市 中區 小公路 106
4th row首爾特別市 中區 貞洞路 21-18 貞洞公園
5th row首爾特別市 中區 貞洞路 46 貞洞?會
ValueCountFrequency (%)
首爾特別市 139
27.6%
中區 99
19.6%
中區/鐘路區 19
 
3.8%
一帶 15
 
3.0%
明洞 12
 
2.4%
溪川 9
 
1.8%
貞洞路 8
 
1.6%
忠洞2街 7
 
1.4%
世宗大路 7
 
1.4%
明洞路 6
 
1.2%
Other values (119) 183
36.3%
2023-12-11T14:23:36.271852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
365
16.1%
區 154
 
6.8%
市 141
 
6.2%
首 140
 
6.2%
爾 140
 
6.2%
別 140
 
6.2%
特 140
 
6.2%
中 119
 
5.3%
路 111
 
4.9%
1 69
 
3.0%
Other values (97) 746
32.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1516
66.9%
Space Separator 365
 
16.1%
Decimal Number 286
 
12.6%
Other Punctuation 52
 
2.3%
Dash Punctuation 25
 
1.1%
Uppercase Letter 11
 
0.5%
Close Punctuation 5
 
0.2%
Open Punctuation 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
區 154
10.2%
市 141
 
9.3%
首 140
 
9.2%
爾 140
 
9.2%
別 140
 
9.2%
特 140
 
9.2%
中 119
 
7.8%
路 111
 
7.3%
洞 49
 
3.2%
鐘 25
 
1.6%
Other values (71) 357
23.5%
Decimal Number
ValueCountFrequency (%)
1 69
24.1%
2 50
17.5%
5 29
10.1%
4 22
 
7.7%
3 21
 
7.3%
0 21
 
7.3%
9 20
 
7.0%
7 19
 
6.6%
6 19
 
6.6%
8 16
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
A 3
27.3%
R 1
 
9.1%
I 1
 
9.1%
T 1
 
9.1%
U 1
 
9.1%
Y 1
 
9.1%
W 1
 
9.1%
C 1
 
9.1%
M 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
? 26
50.0%
/ 24
46.2%
, 2
 
3.8%
Space Separator
ValueCountFrequency (%)
365
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Han 1516
66.9%
Common 738
32.6%
Latin 11
 
0.5%

Most frequent character per script

Han
ValueCountFrequency (%)
區 154
10.2%
市 141
 
9.3%
首 140
 
9.2%
爾 140
 
9.2%
別 140
 
9.2%
特 140
 
9.2%
中 119
 
7.8%
路 111
 
7.3%
洞 49
 
3.2%
鐘 25
 
1.6%
Other values (71) 357
23.5%
Common
ValueCountFrequency (%)
365
49.5%
1 69
 
9.3%
2 50
 
6.8%
5 29
 
3.9%
? 26
 
3.5%
- 25
 
3.4%
/ 24
 
3.3%
4 22
 
3.0%
3 21
 
2.8%
0 21
 
2.8%
Other values (7) 86
 
11.7%
Latin
ValueCountFrequency (%)
A 3
27.3%
R 1
 
9.1%
I 1
 
9.1%
T 1
 
9.1%
U 1
 
9.1%
Y 1
 
9.1%
W 1
 
9.1%
C 1
 
9.1%
M 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
CJK 1516
66.9%
ASCII 749
33.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
365
48.7%
1 69
 
9.2%
2 50
 
6.7%
5 29
 
3.9%
? 26
 
3.5%
- 25
 
3.3%
/ 24
 
3.2%
4 22
 
2.9%
3 21
 
2.8%
0 21
 
2.8%
Other values (16) 97
 
13.0%
CJK
ValueCountFrequency (%)
區 154
10.2%
市 141
 
9.3%
首 140
 
9.2%
爾 140
 
9.2%
別 140
 
9.2%
特 140
 
9.2%
中 119
 
7.8%
路 111
 
7.3%
洞 49
 
3.2%
鐘 25
 
1.6%
Other values (71) 357
23.5%

지역
Categorical

Distinct25
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
39 
首爾特別市 中區 明洞
13 
首爾特別市 中區 退溪路
9 
首爾特別市 中區 世宗大路
9 
首爾特別市 中區 貞洞路
8 
Other values (20)
61 

Length

Max length15
Median length14
Mean length9.8920863
Min length4

Unique

Unique5 ?
Unique (%)3.6%

Sample

1st row首爾特別市 中區 世宗大路
2nd row首爾特別市 中區 貞洞路
3rd row首爾特別市 中區 小公路
4th row首爾特別市 中區 貞洞路
5th row首爾特別市 中區 貞洞路

Common Values

ValueCountFrequency (%)
<NA> 39
28.1%
首爾特別市 中區 明洞 13
 
9.4%
首爾特別市 中區 退溪路 9
 
6.5%
首爾特別市 中區 世宗大路 9
 
6.5%
首爾特別市 中區 貞洞路 8
 
5.8%
首爾特別市 中區 小波路 6
 
4.3%
首爾特別市 中區 明洞路 6
 
4.3%
首爾特別市 中區 乙支路 5
 
3.6%
首爾特別市 中區 ?忠壇路 5
 
3.6%
首爾特別市 中區 ?忠洞 5
 
3.6%
Other values (15) 34
24.5%

Length

2023-12-11T14:23:36.424301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
首爾特別市 100
29.5%
中區 99
29.2%
na 39
 
11.5%
明洞 13
 
3.8%
世宗大路 10
 
2.9%
退溪路 9
 
2.7%
貞洞路 8
 
2.4%
小波路 6
 
1.8%
明洞路 6
 
1.8%
乙支路 5
 
1.5%
Other values (16) 44
13.0%

제공기관
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
首爾市?中區廳?
100 
首爾特別市
39 

Length

Max length8
Median length8
Mean length7.1582734
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row首爾市?中區廳?
2nd row首爾市?中區廳?
3rd row首爾市?中區廳?
4th row首爾市?中區廳?
5th row首爾市?中區廳?

Common Values

ValueCountFrequency (%)
首爾市?中區廳? 100
71.9%
首爾特別市 39
 
28.1%

Length

2023-12-11T14:23:36.571598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:23:36.721645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
首爾市?中區廳 100
71.9%
首爾特別市 39
 
28.1%

언어유형
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
CHL
139 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
CHL 139
100.0%

Length

2023-12-11T14:23:36.855652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:23:36.985524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
chl 139
100.0%

제작일
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2015-12-30
100 
<NA>
39 

Length

Max length10
Median length10
Mean length8.3165468
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2015-12-30
2nd row2015-12-30
3rd row2015-12-30
4th row2015-12-30
5th row2015-12-30

Common Values

ValueCountFrequency (%)
2015-12-30 100
71.9%
<NA> 39
 
28.1%

Length

2023-12-11T14:23:37.113354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:23:37.234765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2015-12-30 100
71.9%
na 39
 
28.1%

유형
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
DATA
139 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
DATA 139
100.0%

Length

2023-12-11T14:23:37.345066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:23:37.481814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
data 139
100.0%

형식
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
HTML
139 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
HTML 139
100.0%

Length

2023-12-11T14:23:37.598055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:23:37.721149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
html 139
100.0%

전화번호
Text

MISSING 

Distinct32
Distinct (%)100.0%
Missing107
Missing (%)77.0%
Memory size1.2 KiB
2023-12-11T14:23:37.987877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length11.46875
Min length6

Characters and Unicode

Total characters367
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row02-771-9951
2nd row02-2124-8800
3rd row02-720-9494
4th row02-730-6611
5th row02-777-4258
ValueCountFrequency (%)
02-753-2403 1
 
3.0%
1588-1234 1
 
3.0%
02-3455-8341 1
 
3.0%
02-779-6107 1
 
3.0%
02-753-2805 1
 
3.0%
02-2280-4114 1
 
3.0%
02-774-1784 1
 
3.0%
02-759-4881 1
 
3.0%
02-771-9951 1
 
3.0%
02-3455-9277 1
 
3.0%
Other values (23) 23
69.7%
2023-12-11T14:23:38.482133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 67
18.3%
2 63
17.2%
- 61
16.6%
1 30
8.2%
7 29
7.9%
4 26
 
7.1%
5 22
 
6.0%
8 20
 
5.4%
6 19
 
5.2%
3 16
 
4.4%
Other values (4) 14
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 302
82.3%
Dash Punctuation 61
 
16.6%
Math Symbol 2
 
0.5%
Other Punctuation 1
 
0.3%
Space Separator 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 67
22.2%
2 63
20.9%
1 30
9.9%
7 29
9.6%
4 26
 
8.6%
5 22
 
7.3%
8 20
 
6.6%
6 19
 
6.3%
3 16
 
5.3%
9 10
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 61
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 367
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 67
18.3%
2 63
17.2%
- 61
16.6%
1 30
8.2%
7 29
7.9%
4 26
 
7.1%
5 22
 
6.0%
8 20
 
5.4%
6 19
 
5.2%
3 16
 
4.4%
Other values (4) 14
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 367
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 67
18.3%
2 63
17.2%
- 61
16.6%
1 30
8.2%
7 29
7.9%
4 26
 
7.1%
5 22
 
6.0%
8 20
 
5.4%
6 19
 
5.2%
3 16
 
4.4%
Other values (4) 14
 
3.8%

지정현황
Text

MISSING 

Distinct19
Distinct (%)95.0%
Missing119
Missing (%)85.6%
Memory size1.2 KiB
2023-12-11T14:23:38.703981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length11.6
Min length6

Characters and Unicode

Total characters232
Distinct characters36
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)90.0%

Sample

1st row史跡 第124號
2nd row首爾特別市 紀念物 第16號
3rd row登記文化遺? 第237號
4th row登記文化遺? 第267號
5th row登記文化遺? 第402號
ValueCountFrequency (%)
登記文化遺 8
17.8%
首爾特別市 5
 
11.1%
史跡 4
 
8.9%
紀念物 2
 
4.4%
第20號 2
 
4.4%
有形文化遺 2
 
4.4%
第124號 2
 
4.4%
首爾市有形文化遺 2
 
4.4%
第1號 2
 
4.4%
國寶 1
 
2.2%
Other values (15) 15
33.3%
2023-12-11T14:23:39.133744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26
 
11.2%
第 20
 
8.6%
號 20
 
8.6%
文 12
 
5.2%
化 12
 
5.2%
遺 12
 
5.2%
? 12
 
5.2%
1 10
 
4.3%
2 10
 
4.3%
登 8
 
3.4%
Other values (26) 90
38.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 151
65.1%
Decimal Number 43
 
18.5%
Space Separator 26
 
11.2%
Other Punctuation 12
 
5.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
第 20
13.2%
號 20
13.2%
文 12
 
7.9%
化 12
 
7.9%
遺 12
 
7.9%
登 8
 
5.3%
記 8
 
5.3%
市 7
 
4.6%
爾 7
 
4.6%
首 7
 
4.6%
Other values (15) 38
25.2%
Decimal Number
ValueCountFrequency (%)
1 10
23.3%
2 10
23.3%
0 5
11.6%
3 4
 
9.3%
7 3
 
7.0%
4 3
 
7.0%
5 3
 
7.0%
8 3
 
7.0%
6 2
 
4.7%
Space Separator
ValueCountFrequency (%)
26
100.0%
Other Punctuation
ValueCountFrequency (%)
? 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Han 151
65.1%
Common 81
34.9%

Most frequent character per script

Han
ValueCountFrequency (%)
第 20
13.2%
號 20
13.2%
文 12
 
7.9%
化 12
 
7.9%
遺 12
 
7.9%
登 8
 
5.3%
記 8
 
5.3%
市 7
 
4.6%
爾 7
 
4.6%
首 7
 
4.6%
Other values (15) 38
25.2%
Common
ValueCountFrequency (%)
26
32.1%
? 12
14.8%
1 10
 
12.3%
2 10
 
12.3%
0 5
 
6.2%
3 4
 
4.9%
7 3
 
3.7%
4 3
 
3.7%
5 3
 
3.7%
8 3
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
CJK 151
65.1%
ASCII 81
34.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26
32.1%
? 12
14.8%
1 10
 
12.3%
2 10
 
12.3%
0 5
 
6.2%
3 4
 
4.9%
7 3
 
3.7%
4 3
 
3.7%
5 3
 
3.7%
8 3
 
3.7%
CJK
ValueCountFrequency (%)
第 20
13.2%
號 20
13.2%
文 12
 
7.9%
化 12
 
7.9%
遺 12
 
7.9%
登 8
 
5.3%
記 8
 
5.3%
市 7
 
4.6%
爾 7
 
4.6%
首 7
 
4.6%
Other values (15) 38
25.2%

휴무일
Text

MISSING 

Distinct10
Distinct (%)71.4%
Missing125
Missing (%)89.9%
Memory size1.2 KiB
2023-12-11T14:23:39.328990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length16
Mean length8.7142857
Min length3

Characters and Unicode

Total characters122
Distinct characters24
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)50.0%

Sample

1st row每週一
2nd row每週一,公休日
3rd row每週一, 1月1日
4th row每週日
5th row每週一, 1月1日
ValueCountFrequency (%)
每週一 9
36.0%
1月1日 3
 
12.0%
每週日 3
 
12.0%
公休日 2
 
8.0%
每週一,公休日 1
 
4.0%
每週二 1
 
4.0%
1月1日,春節,中秋節 1
 
4.0%
春節及中秋節連休 1
 
4.0%
12月29日~下年1月 1
 
4.0%
2日 1
 
4.0%
Other values (2) 2
 
8.0%
2023-12-11T14:23:39.728338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
每 14
11.5%
週 14
11.5%
日 13
10.7%
, 13
10.7%
11
9.0%
一 10
8.2%
1 10
8.2%
節 6
 
4.9%
月 6
 
4.9%
休 4
 
3.3%
Other values (14) 21
17.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 83
68.0%
Decimal Number 14
 
11.5%
Other Punctuation 13
 
10.7%
Space Separator 11
 
9.0%
Math Symbol 1
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
每 14
16.9%
週 14
16.9%
日 13
15.7%
一 10
12.0%
節 6
7.2%
月 6
7.2%
休 4
 
4.8%
公 3
 
3.6%
春 2
 
2.4%
中 2
 
2.4%
Other values (8) 9
10.8%
Decimal Number
ValueCountFrequency (%)
1 10
71.4%
2 3
 
21.4%
9 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Han 83
68.0%
Common 39
32.0%

Most frequent character per script

Han
ValueCountFrequency (%)
每 14
16.9%
週 14
16.9%
日 13
15.7%
一 10
12.0%
節 6
7.2%
月 6
7.2%
休 4
 
4.8%
公 3
 
3.6%
春 2
 
2.4%
中 2
 
2.4%
Other values (8) 9
10.8%
Common
ValueCountFrequency (%)
, 13
33.3%
11
28.2%
1 10
25.6%
2 3
 
7.7%
9 1
 
2.6%
~ 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
CJK 83
68.0%
ASCII 39
32.0%

Most frequent character per block

CJK
ValueCountFrequency (%)
每 14
16.9%
週 14
16.9%
日 13
15.7%
一 10
12.0%
節 6
7.2%
月 6
7.2%
休 4
 
4.8%
公 3
 
3.6%
春 2
 
2.4%
中 2
 
2.4%
Other values (8) 9
10.8%
ASCII
ValueCountFrequency (%)
, 13
33.3%
11
28.2%
1 10
25.6%
2 3
 
7.7%
9 1
 
2.6%
~ 1
 
2.6%

이용시간
Text

MISSING 

Distinct9
Distinct (%)100.0%
Missing130
Missing (%)93.5%
Memory size1.2 KiB
2023-12-11T14:23:39.936884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length40
Mean length22.222222
Min length13

Characters and Unicode

Total characters200
Distinct characters31
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)100.0%

Sample

1st row?票及入場時間 09:00 ~ 20:00 退場時間 09:00 ~ 21:00
2nd row明日 10:00 ~ 17:00
3rd row平日 09:00 ~ 21:00
4th row09:00 ~ 18:00
5th row每週二 ~ 周日 10:00 ~ 18:00
ValueCountFrequency (%)
10
23.8%
17:00 5
11.9%
10:00 5
11.9%
09:00 4
 
9.5%
20:00 3
 
7.1%
18:00 3
 
7.1%
21:00 2
 
4.8%
周日 1
 
2.4%
週六 1
 
2.4%
週一~週五,周日及公休日 1
 
2.4%
Other values (7) 7
16.7%
2023-12-11T14:23:40.286451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 58
29.0%
33
16.5%
: 23
 
11.5%
1 16
 
8.0%
~ 12
 
6.0%
日 6
 
3.0%
2 5
 
2.5%
週 5
 
2.5%
7 5
 
2.5%
, 4
 
2.0%
Other values (21) 33
16.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 92
46.0%
Other Letter 35
 
17.5%
Space Separator 33
 
16.5%
Other Punctuation 28
 
14.0%
Math Symbol 12
 
6.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
日 6
17.1%
週 5
14.3%
周 3
 
8.6%
間 2
 
5.7%
時 2
 
5.7%
場 2
 
5.7%
及 2
 
5.7%
二 2
 
5.7%
休 1
 
2.9%
一 1
 
2.9%
Other values (9) 9
25.7%
Decimal Number
ValueCountFrequency (%)
0 58
63.0%
1 16
 
17.4%
2 5
 
5.4%
7 5
 
5.4%
9 4
 
4.3%
8 3
 
3.3%
4 1
 
1.1%
Other Punctuation
ValueCountFrequency (%)
: 23
82.1%
, 4
 
14.3%
? 1
 
3.6%
Space Separator
ValueCountFrequency (%)
33
100.0%
Math Symbol
ValueCountFrequency (%)
~ 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 165
82.5%
Han 35
 
17.5%

Most frequent character per script

Han
ValueCountFrequency (%)
日 6
17.1%
週 5
14.3%
周 3
 
8.6%
間 2
 
5.7%
時 2
 
5.7%
場 2
 
5.7%
及 2
 
5.7%
二 2
 
5.7%
休 1
 
2.9%
一 1
 
2.9%
Other values (9) 9
25.7%
Common
ValueCountFrequency (%)
0 58
35.2%
33
20.0%
: 23
 
13.9%
1 16
 
9.7%
~ 12
 
7.3%
2 5
 
3.0%
7 5
 
3.0%
, 4
 
2.4%
9 4
 
2.4%
8 3
 
1.8%
Other values (2) 2
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 165
82.5%
CJK 35
 
17.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 58
35.2%
33
20.0%
: 23
 
13.9%
1 16
 
9.7%
~ 12
 
7.3%
2 5
 
3.0%
7 5
 
3.0%
, 4
 
2.4%
9 4
 
2.4%
8 3
 
1.8%
Other values (2) 2
 
1.2%
CJK
ValueCountFrequency (%)
日 6
17.1%
週 5
14.3%
周 3
 
8.6%
間 2
 
5.7%
時 2
 
5.7%
場 2
 
5.7%
及 2
 
5.7%
二 2
 
5.7%
休 1
 
2.9%
一 1
 
2.9%
Other values (9) 9
25.7%

이용요금
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
131 
免費
 
7
大人(滿25歲以上) 1,000韓元 團體大人(10人以上) 800韓元
 
1

Length

Max length36
Median length4
Mean length4.1294964
Min length2

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row大人(滿25歲以上) 1,000韓元 團體大人(10人以上) 800韓元
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 131
94.2%
免費 7
 
5.0%
大人(滿25歲以上) 1,000韓元 團體大人(10人以上) 800韓元 1
 
0.7%

Length

2023-12-11T14:23:40.496738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:23:40.601533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 131
92.3%
免費 7
 
4.9%
大人(滿25歲以上 1
 
0.7%
1,000韓元 1
 
0.7%
團體大人(10人以上 1
 
0.7%
800韓元 1
 
0.7%

주차
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
128 
有停車場
 
11

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 128
92.1%
有停車場 11
 
7.9%

Length

2023-12-11T14:23:40.710782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:23:40.806994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 128
92.1%
有停車場 11
 
7.9%

장애인 편의시설
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing136
Missing (%)97.8%
Memory size1.2 KiB
2023-12-11T14:23:40.946153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length13.666667
Min length4

Characters and Unicode

Total characters41
Distinct characters30
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st row出借輪椅
2nd row殘疾人可以團體參觀,具備盲文指南手冊
3rd row具備殘疾人衛生間, 具備殘疾人專用電梯
ValueCountFrequency (%)
出借輪椅 1
25.0%
殘疾人可以團體參觀,具備盲文指南手冊 1
25.0%
具備殘疾人衛生間 1
25.0%
具備殘疾人專用電梯 1
25.0%
2023-12-11T14:23:41.255038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
備 3
 
7.3%
具 3
 
7.3%
殘 3
 
7.3%
疾 3
 
7.3%
人 3
 
7.3%
, 2
 
4.9%
生 1
 
2.4%
手 1
 
2.4%
冊 1
 
2.4%
衛 1
 
2.4%
Other values (20) 20
48.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38
92.7%
Other Punctuation 2
 
4.9%
Space Separator 1
 
2.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
備 3
 
7.9%
具 3
 
7.9%
殘 3
 
7.9%
疾 3
 
7.9%
人 3
 
7.9%
生 1
 
2.6%
手 1
 
2.6%
冊 1
 
2.6%
衛 1
 
2.6%
間 1
 
2.6%
Other values (18) 18
47.4%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Han 38
92.7%
Common 3
 
7.3%

Most frequent character per script

Han
ValueCountFrequency (%)
備 3
 
7.9%
具 3
 
7.9%
殘 3
 
7.9%
疾 3
 
7.9%
人 3
 
7.9%
生 1
 
2.6%
手 1
 
2.6%
冊 1
 
2.6%
衛 1
 
2.6%
間 1
 
2.6%
Other values (18) 18
47.4%
Common
ValueCountFrequency (%)
, 2
66.7%
1
33.3%

Most occurring blocks

ValueCountFrequency (%)
CJK 38
92.7%
ASCII 3
 
7.3%

Most frequent character per block

CJK
ValueCountFrequency (%)
備 3
 
7.9%
具 3
 
7.9%
殘 3
 
7.9%
疾 3
 
7.9%
人 3
 
7.9%
生 1
 
2.6%
手 1
 
2.6%
冊 1
 
2.6%
衛 1
 
2.6%
間 1
 
2.6%
Other values (18) 18
47.4%
ASCII
ValueCountFrequency (%)
, 2
66.7%
1
33.3%

체험안내
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing136
Missing (%)97.8%
Memory size1.2 KiB
2023-12-11T14:23:41.443313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length16
Mean length16
Min length4

Characters and Unicode

Total characters48
Distinct characters38
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st row試穿傳統服裝、體驗守門將換崗儀式
2nd row長鼓體驗
3rd row韓風文化村,攝影服務, 稻草工藝演示, 傳統文化遺?解說
ValueCountFrequency (%)
試穿傳統服裝、體驗守門將換崗儀式 1
20.0%
長鼓體驗 1
20.0%
韓風文化村,攝影服務 1
20.0%
稻草工藝演示 1
20.0%
傳統文化遺?解說 1
20.0%
2023-12-11T14:23:41.754558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 3
 
6.2%
化 2
 
4.2%
傳 2
 
4.2%
統 2
 
4.2%
服 2
 
4.2%
文 2
 
4.2%
體 2
 
4.2%
驗 2
 
4.2%
2
 
4.2%
草 1
 
2.1%
Other values (28) 28
58.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 41
85.4%
Other Punctuation 5
 
10.4%
Space Separator 2
 
4.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
化 2
 
4.9%
傳 2
 
4.9%
統 2
 
4.9%
服 2
 
4.9%
文 2
 
4.9%
體 2
 
4.9%
驗 2
 
4.9%
草 1
 
2.4%
攝 1
 
2.4%
影 1
 
2.4%
Other values (24) 24
58.5%
Other Punctuation
ValueCountFrequency (%)
, 3
60.0%
? 1
 
20.0%
、 1
 
20.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Han 41
85.4%
Common 7
 
14.6%

Most frequent character per script

Han
ValueCountFrequency (%)
化 2
 
4.9%
傳 2
 
4.9%
統 2
 
4.9%
服 2
 
4.9%
文 2
 
4.9%
體 2
 
4.9%
驗 2
 
4.9%
草 1
 
2.4%
攝 1
 
2.4%
影 1
 
2.4%
Other values (24) 24
58.5%
Common
ValueCountFrequency (%)
, 3
42.9%
2
28.6%
? 1
 
14.3%
、 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
CJK 41
85.4%
ASCII 6
 
12.5%
None 1
 
2.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 3
50.0%
2
33.3%
? 1
 
16.7%
CJK
ValueCountFrequency (%)
化 2
 
4.9%
傳 2
 
4.9%
統 2
 
4.9%
服 2
 
4.9%
文 2
 
4.9%
體 2
 
4.9%
驗 2
 
4.9%
草 1
 
2.4%
攝 1
 
2.4%
影 1
 
2.4%
Other values (24) 24
58.5%
None
ValueCountFrequency (%)
、 1
100.0%

안내서비스
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing138
Missing (%)99.3%
Memory size1.2 KiB
2023-12-11T14:23:41.915885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters10
Distinct characters9
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row具備多國語語音導遊機
ValueCountFrequency (%)
具備多國語語音導遊機 1
100.0%
2023-12-11T14:23:42.161594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
語 2
20.0%
具 1
10.0%
備 1
10.0%
多 1
10.0%
國 1
10.0%
音 1
10.0%
導 1
10.0%
遊 1
10.0%
機 1
10.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
語 2
20.0%
具 1
10.0%
備 1
10.0%
多 1
10.0%
國 1
10.0%
音 1
10.0%
導 1
10.0%
遊 1
10.0%
機 1
10.0%

Most occurring scripts

ValueCountFrequency (%)
Han 10
100.0%

Most frequent character per script

Han
ValueCountFrequency (%)
語 2
20.0%
具 1
10.0%
備 1
10.0%
多 1
10.0%
國 1
10.0%
音 1
10.0%
導 1
10.0%
遊 1
10.0%
機 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
CJK 10
100.0%

Most frequent character per block

CJK
ValueCountFrequency (%)
語 2
20.0%
具 1
10.0%
備 1
10.0%
多 1
10.0%
國 1
10.0%
音 1
10.0%
導 1
10.0%
遊 1
10.0%
機 1
10.0%

예약
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing136
Missing (%)97.8%
Memory size1.2 KiB
2023-12-11T14:23:42.328074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length12.666667
Min length8

Characters and Unicode

Total characters38
Distinct characters24
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st row網路、手機、電話、訪問預? 可能
2nd row網路、電話預購，現場購買可能
3rd row預約團體參觀可能
ValueCountFrequency (%)
網路、手機、電話、訪問預 1
25.0%
可能 1
25.0%
網路、電話預購，現場購買可能 1
25.0%
預約團體參觀可能 1
25.0%
2023-12-11T14:23:42.882124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
、 4
 
10.5%
可 3
 
7.9%
預 3
 
7.9%
能 3
 
7.9%
購 2
 
5.3%
路 2
 
5.3%
網 2
 
5.3%
話 2
 
5.3%
電 2
 
5.3%
訪 1
 
2.6%
Other values (14) 14
36.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31
81.6%
Other Punctuation 6
 
15.8%
Space Separator 1
 
2.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
可 3
 
9.7%
預 3
 
9.7%
能 3
 
9.7%
購 2
 
6.5%
路 2
 
6.5%
網 2
 
6.5%
話 2
 
6.5%
電 2
 
6.5%
訪 1
 
3.2%
場 1
 
3.2%
Other values (10) 10
32.3%
Other Punctuation
ValueCountFrequency (%)
、 4
66.7%
， 1
 
16.7%
? 1
 
16.7%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Han 31
81.6%
Common 7
 
18.4%

Most frequent character per script

Han
ValueCountFrequency (%)
可 3
 
9.7%
預 3
 
9.7%
能 3
 
9.7%
購 2
 
6.5%
路 2
 
6.5%
網 2
 
6.5%
話 2
 
6.5%
電 2
 
6.5%
訪 1
 
3.2%
場 1
 
3.2%
Other values (10) 10
32.3%
Common
ValueCountFrequency (%)
、 4
57.1%
， 1
 
14.3%
1
 
14.3%
? 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
CJK 31
81.6%
None 5
 
13.2%
ASCII 2
 
5.3%

Most frequent character per block

None
ValueCountFrequency (%)
、 4
80.0%
， 1
 
20.0%
CJK
ValueCountFrequency (%)
可 3
 
9.7%
預 3
 
9.7%
能 3
 
9.7%
購 2
 
6.5%
路 2
 
6.5%
網 2
 
6.5%
話 2
 
6.5%
電 2
 
6.5%
訪 1
 
3.2%
場 1
 
3.2%
Other values (10) 10
32.3%
ASCII
ValueCountFrequency (%)
1
50.0%
? 1
50.0%

Sample

상세고유순번관리번호명칭관련항목연계자원경도정보(127.XX)위도정보(36.XXX)이명칭개요시대분류주제분류지번주소도로명주소지역제공기관언어유형제작일유형형식전화번호지정현황휴무일이용시간이용요금주차장애인 편의시설체험안내안내서비스예약
0201JGS_000001德壽宮<NA>JGH_000370126.9765337.56502慶運宮,貞陵洞行宮，西宮舊名稱是慶運宮，但1907年開始被稱?德壽宮。 6萬1500㎡面積上殘留著大漢門，中和門，光明門和中和殿，浚?堂，昔禦堂，石造殿，咸寧殿，卽祚堂等殿閣。<NA><NA><NA>首爾特別市 中區 世宗大路 99首爾特別市 中區 世宗大路首爾市?中區廳?CHL2015-12-30DATAHTML02-771-9951史跡 第124號每週一?票及入場時間 09:00 ~ 20:00 退場時間 09:00 ~ 21:00大人(滿25歲以上) 1,000韓元 團體大人(10人以上) 800韓元<NA>出借輪椅試穿傳統服裝、體驗守門將換崗儀式<NA><NA>
1202JGS_000002德壽宮重明殿<NA>JGH_000350126.9725237.56659<NA>1901年建造的重明殿是現在德壽宮的慶運宮內包含的建築，被用作接見所及宴會廳，圖書館。是1907年皇太子的慶典宴會?行的場所，也是簽訂乙巳勒約的悲劇場所。日本帝國主義時代的1915年開始被外國人租賃後使用?京城俱樂部。<NA><NA><NA>首爾特別市 中區 貞洞路 41-11首爾特別市 中區 貞洞路首爾市?中區廳?CHL2015-12-30DATAHTML<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2203JGS_000003옠丘壇（圓丘壇）<NA>JGH_000335126.9796937.56506<NA>옠丘壇是皇帝向天祭祀的祭壇。這裡是繼承朝鮮的大韓帝國高宗皇帝向天祭祀的地方。1897年完工的옠丘壇是當時皇室中最高都邊首的沈宜錫所設計。<NA><NA><NA>首爾特別市 中區 小公路 106首爾特別市 中區 小公路首爾市?中區廳?CHL2015-12-30DATAHTML<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3204JGS_000004原俄羅斯公使館<NA>JGH_000355126.9714637.56825<NA>1890年（高宗 27）俄羅斯人薩巴?尼(A.I.Sabatin)設計的文藝復興風格的建築。6?25戰爭時期本館被破壞，現在只留下了3層規模的塔。被有名?高宗避難日本武力威脅的俄館播遷現場。<NA><NA><NA>首爾特別市 中區 貞洞路 21-18 貞洞公園首爾特別市 中區 貞洞路首爾市?中區廳?CHL2015-12-30DATAHTML<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4205JGS_000005貞洞第一?會<NA>JGH_000367126.9723637.56542<NA>貞洞第一?會是在1895年(高宗 32 )動工, 1897年(光武 1 ) 10月竣工的改新敎?會禮拜堂。<NA><NA><NA>首爾特別市 中區 貞洞路 46 貞洞?會首爾特別市 中區 貞洞路首爾市?中區廳?CHL2015-12-30DATAHTML<NA><NA><NA><NA><NA>有停車場<NA><NA><NA><NA>
5206JGS_000006培材學堂歷史博物館（舊培材學堂東館）<NA>JGH_000368126.9726237.56378<NA>此建築物竣工於1916年，在1984年培才中學部及高中部將校舍遷至江東區前，其一直作?校舍使用。1885年8月傳?士亨利?格哈德?阿彭策爾(Henry Gerhard Appenzeller)建立了培才學堂，建校初期以購置周圍民宅作?校舍運營。<NA><NA><NA>首爾特別市 中區 西小門路11路 19首爾特別市 中區 西小門路首爾市?中區廳?CHL2015-12-30DATAHTML<NA>首爾特別市 紀念物 第16號每週一,公休日明日 10:00 ~ 17:00免費<NA><NA><NA><NA><NA>
6207JGS_000007首爾市立美術館<NA>JGH_000313126.9737737.56402<NA>這裡是育英公院和德國公使館、京城裁判所的舊址。解放後改作大韓民國大法院，?於2002年作?首爾市立美術館重新開館。<NA><NA><NA>首爾特別市 中區 德壽宮路 61首爾特別市 中區 德壽宮路首爾市?中區廳?CHL2015-12-30DATAHTML02-2124-8800登記文化遺? 第237號每週一, 1月1日<NA><NA>有停車場<NA><NA><NA><NA>
7208JGS_000008慶運宮養怡齋<NA>JGH_000361126.9754437.56694<NA>此建築物竣工於1905年，與重建遭受重火災的慶運宮（德壽宮）?同時期建築。是大韓帝國皇族和貴族作?實施近代式?育的場所，現作?大韓聖公會主?辦公室使用。<NA><NA><NA>首爾特別市 中區 世宗大路21路 15首爾特別市 中區 世宗大路首爾市?中區廳?CHL2015-12-30DATAHTML<NA>登記文化遺? 第267號<NA><NA><NA><NA><NA><NA><NA><NA>
8209JGS_000009舊新亞日報社分館<NA>JGH_000354126.9721737.56619<NA>?1930年建設的由地下一層和地上兩層結構構成的鋼筋混凝土建築。原由美國企業勝家縫?機公司（SingerSewingMachineCompany）作?韓國分公司使用，1963年被新亞日報購買?加高了3,4層後，作?其分館使用。新亞日報在1980年新軍部的整合媒體政策中，被?入到了京?新報中。<NA><NA><NA>首爾特別市 中區 貞洞路 33首爾特別市 中區 貞洞路首爾市?中區廳?CHL2015-12-30DATAHTML<NA>登記文化遺? 第402號<NA><NA><NA><NA><NA><NA><NA><NA>
9210JGS_000010救世軍中央會館<NA>JGH_000352126.973637.56761<NA>救世軍中央會館竣工於1928年，作?救世軍培養士官和傳?活動的社會事性業根據地建設。<NA><NA><NA>首爾特別市 中區 德壽宮路 130首爾特別市 中區 德壽宮路首爾市?中區廳?CHL2015-12-30DATAHTML02-720-9494首爾特別市 紀念物 第20號<NA><NA><NA><NA><NA><NA><NA><NA>
상세고유순번관리번호명칭관련항목연계자원경도정보(127.XX)위도정보(36.XXX)이명칭개요시대분류주제분류지번주소도로명주소지역제공기관언어유형제작일유형형식전화번호지정현황휴무일이용시간이용요금주차장애인 편의시설체험안내안내서비스예약
129678JGS_000131燃燈遊?<NA><NA>126.9818737.568862<NA>向佛祖祈福的燃燈遊?<NA><NA><NA>首爾特別市 ?溪川<NA>首爾特別市CHL<NA>DATAHTML<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
130683JGS_000132石戰<NA><NA>126.98433937.568659<NA>朝鮮“好戰'性格的石戰<NA><NA><NA>首爾特別市 ?溪川<NA>首爾特別市CHL<NA>DATAHTML<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
131688JGS_000133?溪川的“跆?”<NA><NA>127.00124237.569457<NA>朝鮮最後的跆?訓練場及仁寺洞的跆?對決<NA><NA><NA>首爾特別市 ?溪川<NA>首爾特別市CHL<NA>DATAHTML<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
132693JGS_000134首善全圖<NA><NA>126.9848937.568552<NA>?出“漢陽”的《首善全圖》<NA><NA><NA>首爾特別市 鐘路區<NA>首爾特別市CHL<NA>DATAHTML<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
133698JGS_000135正祖大王的《陵行班次圖》<NA><NA>126.9852737.568509<NA>祭拜死於悲運的“思悼世子”-正祖大王的參拜隊伍<NA><NA><NA>首爾特別市 鐘路區<NA>首爾特別市CHL<NA>DATAHTML<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
134703JGS_000136英祖御筆，《濬川歌》<NA><NA>127.00968237.569826<NA>英祖對濬川工程的喜悅及蔡濟恭的詩<NA><NA><NA>首爾特別市 鐘路區<NA>首爾特別市CHL<NA>DATAHTML<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
135708JGS_000137五間水門<NA><NA>127.01061437.569765<NA>?溪川之河水通過的-漢陽城樓五間水門<NA><NA><NA>首爾特別市 鐘路區<NA>首爾特別市CHL<NA>DATAHTML<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
136713JGS_000138濬川圖<NA><NA>127.0096837.569675<NA>英祖在五間水門鼓勵濬川工程<NA><NA><NA>首爾特別市 中區<NA>首爾特別市CHL<NA>DATAHTML<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
137718JGS_000139?溪川的原貌及壁?<NA><NA>127.01377437.569842<NA>?溪川的原貌<NA><NA><NA>首爾特別市 鐘路區<NA>首爾特別市CHL<NA>DATAHTML<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
138219JGS_000019西世(cecil)劇場<NA>JGH_001147126.9759937.56673<NA>是于1976年在大韓聖公會大?堂附屬建築開館的小劇場。 作??辦韓國?劇節首屆到第五屆的小劇場，曾是於1970年代盛行的小劇場運動的中心。<NA><NA><NA>首爾特別市 中區 世宗大路19路 16首爾特別市 中區 世宗大路首爾市?中區廳?CHL2015-12-30DATAHTML02-742-7601<NA><NA><NA><NA><NA><NA><NA><NA><NA>