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-13374/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
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 07:10:12.671733
Analysis finished2023-12-11 07:10:13.580362
Duration0.91 seconds
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%
Mean209.53237
Minimum1
Maximum714
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-11T16:10:13.654702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.9
Q135.5
median70
Q3539.5
95-th percentile679.5
Maximum714
Range713
Interquartile range (IQR)504

Descriptive statistics

Standard deviation258.61233
Coefficient of variation (CV)1.2342357
Kurtosis-0.88892103
Mean209.53237
Median Absolute Deviation (MAD)39
Skewness1.0046765
Sum29125
Variance66880.338
MonotonicityNot monotonic
2023-12-11T16:10:13.808127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
98 1
 
0.7%
92 1
 
0.7%
93 1
 
0.7%
94 1
 
0.7%
95 1
 
0.7%
96 1
 
0.7%
97 1
 
0.7%
99 1
 
0.7%
90 1
 
0.7%
Other values (129) 129
92.8%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
714 1
0.7%
709 1
0.7%
704 1
0.7%
699 1
0.7%
694 1
0.7%
689 1
0.7%
684 1
0.7%
679 1
0.7%
674 1
0.7%
669 1
0.7%

관리번호
Text

UNIQUE 

Distinct139
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-11T16:10:14.205521image/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%
2023-12-11T16:10:14.798682image/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

Distinct138
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-11T16:10:15.185881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length22
Mean length8.6330935
Min length2

Characters and Unicode

Total characters1200
Distinct characters270
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique137 ?
Unique (%)98.6%

Sample

1st row덕수궁
2nd row덕수궁 중명전
3rd row환구단(원구단)
4th row구 러시아공사관
5th row정동제일교회
ValueCountFrequency (%)
구 8
 
3.2%
명동의 7
 
2.8%
동상 4
 
1.6%
덕수궁 4
 
1.6%
청계천 4
 
1.6%
터 3
 
1.2%
생활 3
 
1.2%
수표교 2
 
0.8%
광통교 2
 
0.8%
명동 2
 
0.8%
Other values (206) 210
84.3%
2023-12-11T16:10:15.765100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
111
 
9.2%
동 36
 
3.0%
관 26
 
2.2%
교 24
 
2.0%
) 22
 
1.8%
( 22
 
1.8%
사 21
 
1.8%
의 20
 
1.7%
이 18
 
1.5%
대 17
 
1.4%
Other values (260) 883
73.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 997
83.1%
Space Separator 111
 
9.2%
Decimal Number 31
 
2.6%
Close Punctuation 22
 
1.8%
Open Punctuation 22
 
1.8%
Other Punctuation 12
 
1.0%
Math Symbol 3
 
0.2%
Dash Punctuation 1
 
0.1%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 36
 
3.6%
관 26
 
2.6%
교 24
 
2.4%
사 21
 
2.1%
의 20
 
2.0%
이 18
 
1.8%
대 17
 
1.7%
서 17
 
1.7%
명 16
 
1.6%
장 16
 
1.6%
Other values (242) 786
78.8%
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 (%)
, 8
66.7%
' 2
 
16.7%
/ 1
 
8.3%
? 1
 
8.3%
Space Separator
ValueCountFrequency (%)
111
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
N 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 997
83.1%
Common 202
 
16.8%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 36
 
3.6%
관 26
 
2.6%
교 24
 
2.4%
사 21
 
2.1%
의 20
 
2.0%
이 18
 
1.8%
대 17
 
1.7%
서 17
 
1.7%
명 16
 
1.6%
장 16
 
1.6%
Other values (242) 786
78.8%
Common
ValueCountFrequency (%)
111
55.0%
) 22
 
10.9%
( 22
 
10.9%
0 9
 
4.5%
, 8
 
4.0%
1 7
 
3.5%
9 5
 
2.5%
5 4
 
2.0%
~ 3
 
1.5%
6 2
 
1.0%
Other values (7) 9
 
4.5%
Latin
ValueCountFrequency (%)
N 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 997
83.1%
ASCII 203
 
16.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
111
54.7%
) 22
 
10.8%
( 22
 
10.8%
0 9
 
4.4%
, 8
 
3.9%
1 7
 
3.4%
9 5
 
2.5%
5 4
 
2.0%
~ 3
 
1.5%
6 2
 
1.0%
Other values (8) 10
 
4.9%
Hangul
ValueCountFrequency (%)
동 36
 
3.6%
관 26
 
2.6%
교 24
 
2.4%
사 21
 
2.1%
의 20
 
2.0%
이 18
 
1.8%
대 17
 
1.7%
서 17
 
1.7%
명 16
 
1.6%
장 16
 
1.6%
Other values (242) 786
78.8%

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
2023-12-11T16:10:16.123742image/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%
2023-12-11T16:10:16.582064image/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
2023-12-11T16:10:16.785602image/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
2023-12-11T16:10:17.261729image/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
2023-12-11T16:10:17.447672image/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
2023-12-11T16:10:17.663057image/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
2023-12-11T16:10:17.893767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length10
Mean length10.2
Min length6

Characters and Unicode

Total characters51
Distinct characters33
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

Unique5 ?
Unique (%)100.0%

Sample

1st row경운궁, 정릉동행궁, 서궁
2nd row대한성공회 서울성당
3rd row미소 전용관
4th row이왕가미술관, 이왕직미술관
5th row한국자유총연맹
ValueCountFrequency (%)
경운궁 1
10.0%
정릉동행궁 1
10.0%
서궁 1
10.0%
대한성공회 1
10.0%
서울성당 1
10.0%
미소 1
10.0%
전용관 1
10.0%
이왕가미술관 1
10.0%
이왕직미술관 1
10.0%
한국자유총연맹 1
10.0%
2023-12-11T16:10:18.271137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5
 
9.8%
관 3
 
5.9%
궁 3
 
5.9%
, 3
 
5.9%
미 3
 
5.9%
이 2
 
3.9%
왕 2
 
3.9%
서 2
 
3.9%
술 2
 
3.9%
한 2
 
3.9%
Other values (23) 24
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 43
84.3%
Space Separator 5
 
9.8%
Other Punctuation 3
 
5.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 3
 
7.0%
궁 3
 
7.0%
미 3
 
7.0%
이 2
 
4.7%
왕 2
 
4.7%
서 2
 
4.7%
술 2
 
4.7%
한 2
 
4.7%
성 2
 
4.7%
직 1
 
2.3%
Other values (21) 21
48.8%
Space Separator
ValueCountFrequency (%)
5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 43
84.3%
Common 8
 
15.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 3
 
7.0%
궁 3
 
7.0%
미 3
 
7.0%
이 2
 
4.7%
왕 2
 
4.7%
서 2
 
4.7%
술 2
 
4.7%
한 2
 
4.7%
성 2
 
4.7%
직 1
 
2.3%
Other values (21) 21
48.8%
Common
ValueCountFrequency (%)
5
62.5%
, 3
37.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 43
84.3%
ASCII 8
 
15.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5
62.5%
, 3
37.5%
Hangul
ValueCountFrequency (%)
관 3
 
7.0%
궁 3
 
7.0%
미 3
 
7.0%
이 2
 
4.7%
왕 2
 
4.7%
서 2
 
4.7%
술 2
 
4.7%
한 2
 
4.7%
성 2
 
4.7%
직 1
 
2.3%
Other values (21) 21
48.8%

개요
Text

UNIQUE 

Distinct139
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-11T16:10:18.755065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length348
Median length117
Mean length86.546763
Min length8

Characters and Unicode

Total characters12030
Distinct characters657
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks8 ?
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 row옛 명칭은 경운궁이었는데 1907년부터 덕수궁으로 불리게 되었습니다. 6만 1500㎡의 면적에 대한문, 중화문, 광명문과 중화전, 준명당, 석어당, 석조전, 함녕전, 즉조당 등의 전각이 남아있습니다.
2nd row1901년에 지어진 중명전은 지금의 덕수궁인 경운궁에 포함된 건물로서 접견소 및 연회장, 도서관으로 사용되었습니다. 1907년에 황태자 가례의 연회가 거행된 장소이며, 을사늑약이 체결되었던 비운의 장소이기도 합니다. 일제강점기인 1915년부터 외국인에 임대되어 경성구락부로 이용되었습니다.
3rd row환구단은 황제가 하늘에 제사를 올리는 제단을 말합니다. 이곳은 조선을 이은 대한제국의 고종황제가 하늘에 제를 올린 곳입니다. 1897년 완공된 환구단은 당시 황실 최고의 도편수였던 심의석이 설계했습니다.
4th row1890년(고종 27)에 러시아인 사바틴(A.I.Sabatin)이 설계한 르네상스 양식의 건물입니다. 본관은 6?25전쟁 때 파괴되었고, 현재는 3층 규모의 탑만이 남았습니다. 고종이 일본의 무력 압박을 피한 아관파천의 현장으로 유명합니다.
5th row정동제일교회는 1895년(고종 32) 착공하여 1897년(광무 1) 10월에 준공된 개신교 교회 예배당입니다.
ValueCountFrequency (%)
있습니다 24
 
1.0%
위해 15
 
0.6%
있는 14
 
0.6%
이 11
 
0.4%
수 10
 
0.4%
때 10
 
0.4%
후 10
 
0.4%
이후 9
 
0.4%
광복 9
 
0.4%
조선 8
 
0.3%
Other values (1896) 2344
95.1%
2023-12-11T16:10:19.512875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2331
 
19.4%
다 235
 
2.0%
이 208
 
1.7%
. 201
 
1.7%
에 194
 
1.6%
니 193
 
1.6%
1 184
 
1.5%
의 177
 
1.5%
년 147
 
1.2%
9 142
 
1.2%
Other values (647) 8018
66.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8320
69.2%
Space Separator 2331
 
19.4%
Decimal Number 778
 
6.5%
Other Punctuation 338
 
2.8%
Lowercase Letter 121
 
1.0%
Open Punctuation 43
 
0.4%
Close Punctuation 43
 
0.4%
Uppercase Letter 31
 
0.3%
Math Symbol 7
 
0.1%
Modifier Symbol 6
 
< 0.1%
Other values (5) 12
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
다 235
 
2.8%
이 208
 
2.5%
에 194
 
2.3%
니 193
 
2.3%
의 177
 
2.1%
년 147
 
1.8%
로 135
 
1.6%
을 132
 
1.6%
한 123
 
1.5%
는 116
 
1.4%
Other values (578) 6660
80.0%
Lowercase Letter
ValueCountFrequency (%)
o 14
11.6%
e 14
11.6%
r 12
9.9%
a 11
9.1%
m 10
8.3%
l 10
8.3%
i 8
 
6.6%
s 7
 
5.8%
n 7
 
5.8%
p 4
 
3.3%
Other values (12) 24
19.8%
Uppercase Letter
ValueCountFrequency (%)
H 5
16.1%
S 5
16.1%
C 3
9.7%
N 3
9.7%
J 2
 
6.5%
A 2
 
6.5%
M 2
 
6.5%
G 2
 
6.5%
B 1
 
3.2%
R 1
 
3.2%
Other values (5) 5
16.1%
Decimal Number
ValueCountFrequency (%)
1 184
23.7%
9 142
18.3%
0 109
14.0%
2 67
 
8.6%
5 56
 
7.2%
6 53
 
6.8%
3 51
 
6.6%
7 44
 
5.7%
8 41
 
5.3%
4 31
 
4.0%
Other Punctuation
ValueCountFrequency (%)
. 201
59.5%
, 105
31.1%
? 29
 
8.6%
' 2
 
0.6%
! 1
 
0.3%
Math Symbol
ValueCountFrequency (%)
~ 5
71.4%
< 1
 
14.3%
> 1
 
14.3%
Modifier Symbol
ValueCountFrequency (%)
˝ 2
33.3%
´ 2
33.3%
˚ 2
33.3%
Open Punctuation
ValueCountFrequency (%)
( 42
97.7%
「 1
 
2.3%
Close Punctuation
ValueCountFrequency (%)
) 42
97.7%
」 1
 
2.3%
Other Symbol
ValueCountFrequency (%)
㎡ 1
50.0%
㎞ 1
50.0%
Space Separator
ValueCountFrequency (%)
2331
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 4
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 4
100.0%
Other Number
ValueCountFrequency (%)
² 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8278
68.8%
Common 3558
29.6%
Latin 152
 
1.3%
Han 42
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
다 235
 
2.8%
이 208
 
2.5%
에 194
 
2.3%
니 193
 
2.3%
의 177
 
2.1%
년 147
 
1.8%
로 135
 
1.6%
을 132
 
1.6%
한 123
 
1.5%
는 116
 
1.4%
Other values (541) 6618
79.9%
Latin
ValueCountFrequency (%)
o 14
 
9.2%
e 14
 
9.2%
r 12
 
7.9%
a 11
 
7.2%
m 10
 
6.6%
l 10
 
6.6%
i 8
 
5.3%
s 7
 
4.6%
n 7
 
4.6%
H 5
 
3.3%
Other values (27) 54
35.5%
Han
ValueCountFrequency (%)
口 2
 
4.8%
校 2
 
4.8%
舍 2
 
4.8%
門 2
 
4.8%
石 2
 
4.8%
社 1
 
2.4%
李 1
 
2.4%
始 1
 
2.4%
榮 1
 
2.4%
福 1
 
2.4%
Other values (27) 27
64.3%
Common
ValueCountFrequency (%)
2331
65.5%
. 201
 
5.6%
1 184
 
5.2%
9 142
 
4.0%
0 109
 
3.1%
, 105
 
3.0%
2 67
 
1.9%
5 56
 
1.6%
6 53
 
1.5%
3 51
 
1.4%
Other values (22) 259
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8278
68.8%
ASCII 3691
30.7%
CJK 41
 
0.3%
Punctuation 8
 
0.1%
None 5
 
< 0.1%
Modifier Letters 4
 
< 0.1%
CJK Compat 2
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2331
63.2%
. 201
 
5.4%
1 184
 
5.0%
9 142
 
3.8%
0 109
 
3.0%
, 105
 
2.8%
2 67
 
1.8%
5 56
 
1.5%
6 53
 
1.4%
3 51
 
1.4%
Other values (49) 392
 
10.6%
Hangul
ValueCountFrequency (%)
다 235
 
2.8%
이 208
 
2.5%
에 194
 
2.3%
니 193
 
2.3%
의 177
 
2.1%
년 147
 
1.8%
로 135
 
1.6%
을 132
 
1.6%
한 123
 
1.5%
는 116
 
1.4%
Other values (541) 6618
79.9%
Punctuation
ValueCountFrequency (%)
’ 4
50.0%
‘ 4
50.0%
CJK
ValueCountFrequency (%)
口 2
 
4.9%
校 2
 
4.9%
舍 2
 
4.9%
門 2
 
4.9%
石 2
 
4.9%
社 1
 
2.4%
始 1
 
2.4%
榮 1
 
2.4%
福 1
 
2.4%
迎 1
 
2.4%
Other values (26) 26
63.4%
Modifier Letters
ValueCountFrequency (%)
˝ 2
50.0%
˚ 2
50.0%
None
ValueCountFrequency (%)
´ 2
40.0%
「 1
20.0%
」 1
20.0%
² 1
20.0%
CJK Compat Ideographs
ValueCountFrequency (%)
李 1
100.0%
CJK Compat
ValueCountFrequency (%)
㎡ 1
50.0%
㎞ 1
50.0%

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

Distinct89
Distinct (%)64.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-11T16:10:19.942621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length29
Mean length16.402878
Min length8

Characters and Unicode

Total characters2280
Distinct characters95
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

Unique78 ?
Unique (%)56.1%

Sample

1st row서울특별시 중구 세종대로 99
2nd row서울특별시 중구 정동길 41-11
3rd row서울특별시 중구 소공로 106
4th row서울특별시 중구 정동길 21-18 정동공원
5th row서울특별시 중구 정동길 46 정동교회
ValueCountFrequency (%)
서울특별시 139
26.8%
중구 100
19.3%
중구/종로구 19
 
3.7%
일대 16
 
3.1%
명동 13
 
2.5%
청계천 9
 
1.7%
정동길 8
 
1.5%
세종대로 7
 
1.4%
소파로 6
 
1.2%
명동길 6
 
1.2%
Other values (121) 195
37.6%
2023-12-11T16:10:20.585451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
380
16.7%
구 156
 
6.8%
서 141
 
6.2%
시 141
 
6.2%
울 140
 
6.1%
별 140
 
6.1%
특 140
 
6.1%
중 120
 
5.3%
로 76
 
3.3%
1 69
 
3.0%
Other values (85) 777
34.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1540
67.5%
Space Separator 380
 
16.7%
Decimal Number 288
 
12.6%
Other Punctuation 26
 
1.1%
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 (%)
구 156
10.1%
서 141
 
9.2%
시 141
 
9.2%
울 140
 
9.1%
별 140
 
9.1%
특 140
 
9.1%
중 120
 
7.8%
로 76
 
4.9%
동 62
 
4.0%
대 36
 
2.3%
Other values (60) 388
25.2%
Decimal Number
ValueCountFrequency (%)
1 69
24.0%
2 50
17.4%
5 29
10.1%
4 22
 
7.6%
3 22
 
7.6%
0 21
 
7.3%
9 20
 
6.9%
7 19
 
6.6%
6 19
 
6.6%
8 17
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
A 3
27.3%
U 1
 
9.1%
T 1
 
9.1%
I 1
 
9.1%
R 1
 
9.1%
C 1
 
9.1%
W 1
 
9.1%
Y 1
 
9.1%
M 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
/ 24
92.3%
, 2
 
7.7%
Space Separator
ValueCountFrequency (%)
380
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1540
67.5%
Common 729
32.0%
Latin 11
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 156
10.1%
서 141
 
9.2%
시 141
 
9.2%
울 140
 
9.1%
별 140
 
9.1%
특 140
 
9.1%
중 120
 
7.8%
로 76
 
4.9%
동 62
 
4.0%
대 36
 
2.3%
Other values (60) 388
25.2%
Common
ValueCountFrequency (%)
380
52.1%
1 69
 
9.5%
2 50
 
6.9%
5 29
 
4.0%
- 25
 
3.4%
/ 24
 
3.3%
4 22
 
3.0%
3 22
 
3.0%
0 21
 
2.9%
9 20
 
2.7%
Other values (6) 67
 
9.2%
Latin
ValueCountFrequency (%)
A 3
27.3%
U 1
 
9.1%
T 1
 
9.1%
I 1
 
9.1%
R 1
 
9.1%
C 1
 
9.1%
W 1
 
9.1%
Y 1
 
9.1%
M 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1540
67.5%
ASCII 740
32.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
380
51.4%
1 69
 
9.3%
2 50
 
6.8%
5 29
 
3.9%
- 25
 
3.4%
/ 24
 
3.2%
4 22
 
3.0%
3 22
 
3.0%
0 21
 
2.8%
9 20
 
2.7%
Other values (15) 78
 
10.5%
Hangul
ValueCountFrequency (%)
구 156
10.1%
서 141
 
9.2%
시 141
 
9.2%
울 140
 
9.1%
별 140
 
9.1%
특 140
 
9.1%
중 120
 
7.8%
로 76
 
4.9%
동 62
 
4.0%
대 36
 
2.3%
Other values (60) 388
25.2%

지역
Categorical

Distinct25
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
39 
서울특별시 중구 명동
13 
서울특별시 중구 퇴계로
9 
서울특별시 중구 세종대로
9 
서울특별시 중구 정동길
8 
Other values (20)
61 

Length

Max length15
Median length14
Mean length9.8920863
Min length4

Unique

Unique5 ?
Unique (%)3.6%

Sample

1st row서울특별시 중구 세종대로
2nd row서울특별시 중구 정동길
3rd row서울특별시 중구 소공로
4th row서울특별시 중구 정동길
5th row서울특별시 중구 정동길

Common Values

ValueCountFrequency (%)
<NA> 39
28.1%
서울특별시 중구 명동 13
 
9.4%
서울특별시 중구 퇴계로 9
 
6.5%
서울특별시 중구 세종대로 9
 
6.5%
서울특별시 중구 정동길 8
 
5.8%
서울특별시 중구 소파로 6
 
4.3%
서울특별시 중구 명동길 6
 
4.3%
서울특별시 중구 을지로 5
 
3.6%
서울특별시 중구 장충단로 5
 
3.6%
서울특별시 중구 장충동 5
 
3.6%
Other values (15) 34
24.5%

Length

2023-12-11T16:10:20.780339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울특별시 100
29.5%
중구 99
29.2%
na 39
 
11.5%
명동 13
 
3.8%
세종대로 10
 
2.9%
퇴계로 9
 
2.7%
정동길 8
 
2.4%
소파로 6
 
1.8%
명동길 6
 
1.8%
을지로 5
 
1.5%
Other values (16) 44
13.0%

제공기관
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
서울시 중구청
100 
서울특별시
39 

Length

Max length7
Median length7
Mean length6.4388489
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울시 중구청
2nd row서울시 중구청
3rd row서울시 중구청
4th row서울시 중구청
5th row서울시 중구청

Common Values

ValueCountFrequency (%)
서울시 중구청 100
71.9%
서울특별시 39
 
28.1%

Length

2023-12-11T16:10:20.954662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T16:10:21.138202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울시 100
41.8%
중구청 100
41.8%
서울특별시 39
 
16.3%

언어유형
Categorical

CONSTANT 

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

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
KOR 139
100.0%

Length

2023-12-11T16:10:21.275619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T16:10:21.386833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
kor 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

2023-12-11T16:10:21.522382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T16:10:21.660766image/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

2023-12-11T16:10:21.789569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T16:10:21.906683image/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

2023-12-11T16:10:22.033401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T16:10:22.147067image/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
2023-12-11T16:10:22.584824image/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%
2023-12-11T16:10:23.456287image/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
2023-12-11T16:10:23.742867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length10.9
Min length6

Characters and Unicode

Total characters218
Distinct characters35
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

Unique18 ?
Unique (%)90.0%

Sample

1st row사적 제124호
2nd row서울특별시 기념물 제16호
3rd row등록문화재 제237호
4th row등록문화재 제267호
5th row등록문화재 제402호
ValueCountFrequency (%)
등록문화재 8
17.8%
서울특별시 5
 
11.1%
사적 4
 
8.9%
기념물 2
 
4.4%
제20호 2
 
4.4%
유형문화재 2
 
4.4%
제124호 2
 
4.4%
서울유형문화재 2
 
4.4%
제1호 2
 
4.4%
국보 1
 
2.2%
Other values (15) 15
33.3%
2023-12-11T16:10:24.229826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26
 
11.9%
제 20
 
9.2%
호 20
 
9.2%
문 12
 
5.5%
화 12
 
5.5%
재 12
 
5.5%
1 10
 
4.6%
2 10
 
4.6%
등 8
 
3.7%
록 8
 
3.7%
Other values (25) 80
36.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 149
68.3%
Decimal Number 43
 
19.7%
Space Separator 26
 
11.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 20
13.4%
호 20
13.4%
문 12
 
8.1%
화 12
 
8.1%
재 12
 
8.1%
등 8
 
5.4%
록 8
 
5.4%
서 7
 
4.7%
울 7
 
4.7%
특 5
 
3.4%
Other values (15) 38
25.5%
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%

Most occurring scripts

ValueCountFrequency (%)
Hangul 149
68.3%
Common 69
31.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 20
13.4%
호 20
13.4%
문 12
 
8.1%
화 12
 
8.1%
재 12
 
8.1%
등 8
 
5.4%
록 8
 
5.4%
서 7
 
4.7%
울 7
 
4.7%
특 5
 
3.4%
Other values (15) 38
25.5%
Common
ValueCountFrequency (%)
26
37.7%
1 10
 
14.5%
2 10
 
14.5%
0 5
 
7.2%
3 4
 
5.8%
7 3
 
4.3%
4 3
 
4.3%
5 3
 
4.3%
8 3
 
4.3%
6 2
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 149
68.3%
ASCII 69
31.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26
37.7%
1 10
 
14.5%
2 10
 
14.5%
0 5
 
7.2%
3 4
 
5.8%
7 3
 
4.3%
4 3
 
4.3%
5 3
 
4.3%
8 3
 
4.3%
6 2
 
2.9%
Hangul
ValueCountFrequency (%)
제 20
13.4%
호 20
13.4%
문 12
 
8.1%
화 12
 
8.1%
재 12
 
8.1%
등 8
 
5.4%
록 8
 
5.4%
서 7
 
4.7%
울 7
 
4.7%
특 5
 
3.4%
Other values (15) 38
25.5%

휴무일
Text

MISSING 

Distinct9
Distinct (%)64.3%
Missing125
Missing (%)89.9%
Memory size1.2 KiB
2023-12-11T16:10:24.482478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length21
Mean length12.714286
Min length6

Characters and Unicode

Total characters178
Distinct characters29
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

Unique5 ?
Unique (%)35.7%

Sample

1st row매주 월요일
2nd row매주 월요일, 공휴일
3rd row매주 월요일, 1월 1일
4th row매주 일요일
5th row매주 월요일, 1월 1일
ValueCountFrequency (%)
매주 14
27.5%
월요일 10
19.6%
1월 5
 
9.8%
1일 4
 
7.8%
공휴일 3
 
5.9%
일요일 3
 
5.9%
12월 1
 
2.0%
근로자의 1
 
2.0%
명절 1
 
2.0%
2일 1
 
2.0%
Other values (8) 8
15.7%
2023-12-11T16:10:24.945019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37
20.8%
일 26
14.6%
월 16
9.0%
매 14
 
7.9%
요 14
 
7.9%
주 14
 
7.9%
, 13
 
7.3%
1 10
 
5.6%
휴 5
 
2.8%
공 3
 
1.7%
Other values (19) 26
14.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 113
63.5%
Space Separator 37
 
20.8%
Decimal Number 14
 
7.9%
Other Punctuation 13
 
7.3%
Math Symbol 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 26
23.0%
월 16
14.2%
매 14
12.4%
요 14
12.4%
주 14
12.4%
휴 5
 
4.4%
공 3
 
2.7%
추 2
 
1.8%
연 2
 
1.8%
석 2
 
1.8%
Other values (13) 15
13.3%
Decimal Number
ValueCountFrequency (%)
1 10
71.4%
2 3
 
21.4%
9 1
 
7.1%
Space Separator
ValueCountFrequency (%)
37
100.0%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 113
63.5%
Common 65
36.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 26
23.0%
월 16
14.2%
매 14
12.4%
요 14
12.4%
주 14
12.4%
휴 5
 
4.4%
공 3
 
2.7%
추 2
 
1.8%
연 2
 
1.8%
석 2
 
1.8%
Other values (13) 15
13.3%
Common
ValueCountFrequency (%)
37
56.9%
, 13
 
20.0%
1 10
 
15.4%
2 3
 
4.6%
9 1
 
1.5%
~ 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 113
63.5%
ASCII 65
36.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37
56.9%
, 13
 
20.0%
1 10
 
15.4%
2 3
 
4.6%
9 1
 
1.5%
~ 1
 
1.5%
Hangul
ValueCountFrequency (%)
일 26
23.0%
월 16
14.2%
매 14
12.4%
요 14
12.4%
주 14
12.4%
휴 5
 
4.4%
공 3
 
2.7%
추 2
 
1.8%
연 2
 
1.8%
석 2
 
1.8%
Other values (13) 15
13.3%

이용시간
Text

MISSING 

Distinct9
Distinct (%)100.0%
Missing130
Missing (%)93.5%
Memory size1.2 KiB
2023-12-11T16:10:25.227863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length42
Mean length23
Min length13

Characters and Unicode

Total characters207
Distinct characters29
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 row매표 및 입장시간 09:00 ~ 20:00 퇴장시간 09:00 ~ 21:00
2nd row매일 10:00 ~ 17:00
3rd row평일 09:00 ~ 21:00
4th row09:00 ~ 18:00
5th row매주 화요일 ~ 일요일 10:00 ~ 18:00
ValueCountFrequency (%)
10
20.8%
10:00 5
10.4%
17:00 5
10.4%
09:00 4
 
8.3%
20:00 3
 
6.2%
18:00 3
 
6.2%
21:00 2
 
4.2%
및 2
 
4.2%
매표 1
 
2.1%
일요일 1
 
2.1%
Other values (12) 12
25.0%
2023-12-11T16:10:25.646976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 58
28.0%
39
18.8%
: 23
 
11.1%
1 16
 
7.7%
~ 12
 
5.8%
일 10
 
4.8%
2 5
 
2.4%
7 5
 
2.4%
, 4
 
1.9%
요 4
 
1.9%
Other values (19) 31
15.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 92
44.4%
Space Separator 39
18.8%
Other Letter 37
17.9%
Other Punctuation 27
 
13.0%
Math Symbol 12
 
5.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 10
27.0%
요 4
 
10.8%
매 3
 
8.1%
간 2
 
5.4%
시 2
 
5.4%
장 2
 
5.4%
화 2
 
5.4%
및 2
 
5.4%
퇴 1
 
2.7%
표 1
 
2.7%
Other values (8) 8
21.6%
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
85.2%
, 4
 
14.8%
Space Separator
ValueCountFrequency (%)
39
100.0%
Math Symbol
ValueCountFrequency (%)
~ 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 170
82.1%
Hangul 37
 
17.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 10
27.0%
요 4
 
10.8%
매 3
 
8.1%
간 2
 
5.4%
시 2
 
5.4%
장 2
 
5.4%
화 2
 
5.4%
및 2
 
5.4%
퇴 1
 
2.7%
표 1
 
2.7%
Other values (8) 8
21.6%
Common
ValueCountFrequency (%)
0 58
34.1%
39
22.9%
: 23
 
13.5%
1 16
 
9.4%
~ 12
 
7.1%
2 5
 
2.9%
7 5
 
2.9%
, 4
 
2.4%
9 4
 
2.4%
8 3
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 170
82.1%
Hangul 37
 
17.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 58
34.1%
39
22.9%
: 23
 
13.5%
1 16
 
9.4%
~ 12
 
7.1%
2 5
 
2.9%
7 5
 
2.9%
, 4
 
2.4%
9 4
 
2.4%
8 3
 
1.8%
Hangul
ValueCountFrequency (%)
일 10
27.0%
요 4
 
10.8%
매 3
 
8.1%
간 2
 
5.4%
시 2
 
5.4%
장 2
 
5.4%
화 2
 
5.4%
및 2
 
5.4%
퇴 1
 
2.7%
표 1
 
2.7%
Other values (8) 8
21.6%

이용요금
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
131 
무료
 
7
대인(만25세이상) 1,000원단체 대인(10인이상) 800원
 
1

Length

Max length34
Median length4
Mean length4.1151079
Min length2

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row대인(만25세이상) 1,000원단체 대인(10인이상) 800원
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 131
94.2%
무료 7
 
5.0%
대인(만25세이상) 1,000원단체 대인(10인이상) 800원 1
 
0.7%

Length

2023-12-11T16:10:25.846470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T16:10:25.994823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 131
92.3%
무료 7
 
4.9%
대인(만25세이상 1
 
0.7%
1,000원단체 1
 
0.7%
대인(10인이상 1
 
0.7%
800원 1
 
0.7%

주차
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
128 
주차가능
 
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 row주차가능

Common Values

ValueCountFrequency (%)
<NA> 128
92.1%
주차가능 11
 
7.9%

Length

2023-12-11T16:10:26.207168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T16:10:26.389300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 128
92.1%
주차가능 11
 
7.9%

장애인 편의시설
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing136
Missing (%)97.8%
Memory size1.2 KiB
2023-12-11T16:10:26.608862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length24
Mean length18
Min length5

Characters and Unicode

Total characters54
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 row휠체어대여
2nd row장애인 단체관람 가능, 안내 점자 책자 구비
3rd row장애인 화장실 구비, 장애인용 엘리베이터 구비
ValueCountFrequency (%)
구비 3
21.4%
장애인 2
14.3%
휠체어대여 1
 
7.1%
단체관람 1
 
7.1%
가능 1
 
7.1%
안내 1
 
7.1%
점자 1
 
7.1%
책자 1
 
7.1%
화장실 1
 
7.1%
장애인용 1
 
7.1%
2023-12-11T16:10:27.043474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11
20.4%
장 4
 
7.4%
구 3
 
5.6%
애 3
 
5.6%
인 3
 
5.6%
비 3
 
5.6%
체 2
 
3.7%
, 2
 
3.7%
자 2
 
3.7%
휠 1
 
1.9%
Other values (20) 20
37.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 41
75.9%
Space Separator 11
 
20.4%
Other Punctuation 2
 
3.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 4
 
9.8%
구 3
 
7.3%
애 3
 
7.3%
인 3
 
7.3%
비 3
 
7.3%
체 2
 
4.9%
자 2
 
4.9%
휠 1
 
2.4%
화 1
 
2.4%
엘 1
 
2.4%
Other values (18) 18
43.9%
Space Separator
ValueCountFrequency (%)
11
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 41
75.9%
Common 13
 
24.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 4
 
9.8%
구 3
 
7.3%
애 3
 
7.3%
인 3
 
7.3%
비 3
 
7.3%
체 2
 
4.9%
자 2
 
4.9%
휠 1
 
2.4%
화 1
 
2.4%
엘 1
 
2.4%
Other values (18) 18
43.9%
Common
ValueCountFrequency (%)
11
84.6%
, 2
 
15.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 41
75.9%
ASCII 13
 
24.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11
84.6%
, 2
 
15.4%
Hangul
ValueCountFrequency (%)
장 4
 
9.8%
구 3
 
7.3%
애 3
 
7.3%
인 3
 
7.3%
비 3
 
7.3%
체 2
 
4.9%
자 2
 
4.9%
휠 1
 
2.4%
화 1
 
2.4%
엘 1
 
2.4%
Other values (18) 18
43.9%

체험안내
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing136
Missing (%)97.8%
Memory size1.2 KiB
2023-12-11T16:10:27.287730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length22
Mean length20
Min length4

Characters and Unicode

Total characters60
Distinct characters40
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 row전통의상 입어보기, 수문장 교대의식 체험
2nd row장구체험
3rd row한풍문화마실, 사진촬영서비스, 짚공예 시연, 전통문화 유산해설
ValueCountFrequency (%)
전통의상 1
8.3%
입어보기 1
8.3%
수문장 1
8.3%
교대의식 1
8.3%
체험 1
8.3%
장구체험 1
8.3%
한풍문화마실 1
8.3%
사진촬영서비스 1
8.3%
짚공예 1
8.3%
시연 1
8.3%
Other values (2) 2
16.7%
2023-12-11T16:10:27.733799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9
 
15.0%
, 4
 
6.7%
문 3
 
5.0%
전 2
 
3.3%
화 2
 
3.3%
통 2
 
3.3%
험 2
 
3.3%
체 2
 
3.3%
장 2
 
3.3%
의 2
 
3.3%
Other values (30) 30
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 47
78.3%
Space Separator 9
 
15.0%
Other Punctuation 4
 
6.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
문 3
 
6.4%
전 2
 
4.3%
화 2
 
4.3%
통 2
 
4.3%
험 2
 
4.3%
체 2
 
4.3%
장 2
 
4.3%
의 2
 
4.3%
시 1
 
2.1%
예 1
 
2.1%
Other values (28) 28
59.6%
Space Separator
ValueCountFrequency (%)
9
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 47
78.3%
Common 13
 
21.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
문 3
 
6.4%
전 2
 
4.3%
화 2
 
4.3%
통 2
 
4.3%
험 2
 
4.3%
체 2
 
4.3%
장 2
 
4.3%
의 2
 
4.3%
시 1
 
2.1%
예 1
 
2.1%
Other values (28) 28
59.6%
Common
ValueCountFrequency (%)
9
69.2%
, 4
30.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 47
78.3%
ASCII 13
 
21.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9
69.2%
, 4
30.8%
Hangul
ValueCountFrequency (%)
문 3
 
6.4%
전 2
 
4.3%
화 2
 
4.3%
통 2
 
4.3%
험 2
 
4.3%
체 2
 
4.3%
장 2
 
4.3%
의 2
 
4.3%
시 1
 
2.1%
예 1
 
2.1%
Other values (28) 28
59.6%

안내서비스
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing138
Missing (%)99.3%
Memory size1.2 KiB
2023-12-11T16:10:27.953602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters12
Distinct characters11
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
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 row다국어 음성안내기 구비
ValueCountFrequency (%)
다국어 1
33.3%
음성안내기 1
33.3%
구비 1
33.3%
2023-12-11T16:10:28.338346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2
16.7%
다 1
8.3%
국 1
8.3%
어 1
8.3%
음 1
8.3%
성 1
8.3%
안 1
8.3%
내 1
8.3%
기 1
8.3%
구 1
8.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10
83.3%
Space Separator 2
 
16.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
다 1
10.0%
국 1
10.0%
어 1
10.0%
음 1
10.0%
성 1
10.0%
안 1
10.0%
내 1
10.0%
기 1
10.0%
구 1
10.0%
비 1
10.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10
83.3%
Common 2
 
16.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
다 1
10.0%
국 1
10.0%
어 1
10.0%
음 1
10.0%
성 1
10.0%
안 1
10.0%
내 1
10.0%
기 1
10.0%
구 1
10.0%
비 1
10.0%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10
83.3%
ASCII 2
 
16.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2
100.0%
Hangul
ValueCountFrequency (%)
다 1
10.0%
국 1
10.0%
어 1
10.0%
음 1
10.0%
성 1
10.0%
안 1
10.0%
내 1
10.0%
기 1
10.0%
구 1
10.0%
비 1
10.0%

예약
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing136
Missing (%)97.8%
Memory size1.2 KiB
2023-12-11T16:10:28.597330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length16.333333
Min length9

Characters and Unicode

Total characters49
Distinct characters27
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 row인터넷, 모바일, 전화, 방문예메 가능
2nd row온라인, 전화 예매, 현장구매 가능
3rd row단체관람예약 가능
ValueCountFrequency (%)
가능 3
25.0%
전화 2
16.7%
인터넷 1
 
8.3%
모바일 1
 
8.3%
방문예메 1
 
8.3%
온라인 1
 
8.3%
예매 1
 
8.3%
현장구매 1
 
8.3%
단체관람예약 1
 
8.3%
2023-12-11T16:10:28.973536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9
18.4%
, 5
 
10.2%
능 3
 
6.1%
가 3
 
6.1%
예 3
 
6.1%
인 2
 
4.1%
화 2
 
4.1%
전 2
 
4.1%
매 2
 
4.1%
라 1
 
2.0%
Other values (17) 17
34.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 35
71.4%
Space Separator 9
 
18.4%
Other Punctuation 5
 
10.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
능 3
 
8.6%
가 3
 
8.6%
예 3
 
8.6%
인 2
 
5.7%
화 2
 
5.7%
전 2
 
5.7%
매 2
 
5.7%
라 1
 
2.9%
단 1
 
2.9%
구 1
 
2.9%
Other values (15) 15
42.9%
Space Separator
ValueCountFrequency (%)
9
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 35
71.4%
Common 14
 
28.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
능 3
 
8.6%
가 3
 
8.6%
예 3
 
8.6%
인 2
 
5.7%
화 2
 
5.7%
전 2
 
5.7%
매 2
 
5.7%
라 1
 
2.9%
단 1
 
2.9%
구 1
 
2.9%
Other values (15) 15
42.9%
Common
ValueCountFrequency (%)
9
64.3%
, 5
35.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 35
71.4%
ASCII 14
 
28.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9
64.3%
, 5
35.7%
Hangul
ValueCountFrequency (%)
능 3
 
8.6%
가 3
 
8.6%
예 3
 
8.6%
인 2
 
5.7%
화 2
 
5.7%
전 2
 
5.7%
매 2
 
5.7%
라 1
 
2.9%
단 1
 
2.9%
구 1
 
2.9%
Other values (15) 15
42.9%

Sample

상세고유순번관리번호명칭관련항목연계자원경도정보(127.XX)위도정보(36.XXX)이명칭개요시대분류주제분류지번주소도로명주소지역제공기관언어유형제작일유형형식전화번호지정현황휴무일이용시간이용요금주차장애인 편의시설체험안내안내서비스예약
01JGS_000001덕수궁<NA>JGH_000370126.9765337.56502경운궁, 정릉동행궁, 서궁옛 명칭은 경운궁이었는데 1907년부터 덕수궁으로 불리게 되었습니다. 6만 1500㎡의 면적에 대한문, 중화문, 광명문과 중화전, 준명당, 석어당, 석조전, 함녕전, 즉조당 등의 전각이 남아있습니다.<NA><NA><NA>서울특별시 중구 세종대로 99서울특별시 중구 세종대로서울시 중구청KOR2015-12-30DATAHTML02-771-9951사적 제124호매주 월요일매표 및 입장시간 09:00 ~ 20:00 퇴장시간 09:00 ~ 21:00대인(만25세이상) 1,000원단체 대인(10인이상) 800원<NA>휠체어대여전통의상 입어보기, 수문장 교대의식 체험<NA><NA>
12JGS_000002덕수궁 중명전<NA>JGH_000350126.9725237.56659<NA>1901년에 지어진 중명전은 지금의 덕수궁인 경운궁에 포함된 건물로서 접견소 및 연회장, 도서관으로 사용되었습니다. 1907년에 황태자 가례의 연회가 거행된 장소이며, 을사늑약이 체결되었던 비운의 장소이기도 합니다. 일제강점기인 1915년부터 외국인에 임대되어 경성구락부로 이용되었습니다.<NA><NA><NA>서울특별시 중구 정동길 41-11서울특별시 중구 정동길서울시 중구청KOR2015-12-30DATAHTML<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23JGS_000003환구단(원구단)<NA>JGH_000335126.9796937.56506<NA>환구단은 황제가 하늘에 제사를 올리는 제단을 말합니다. 이곳은 조선을 이은 대한제국의 고종황제가 하늘에 제를 올린 곳입니다. 1897년 완공된 환구단은 당시 황실 최고의 도편수였던 심의석이 설계했습니다.<NA><NA><NA>서울특별시 중구 소공로 106서울특별시 중구 소공로서울시 중구청KOR2015-12-30DATAHTML<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
34JGS_000004구 러시아공사관<NA>JGH_000355126.9714637.56825<NA>1890년(고종 27)에 러시아인 사바틴(A.I.Sabatin)이 설계한 르네상스 양식의 건물입니다. 본관은 6?25전쟁 때 파괴되었고, 현재는 3층 규모의 탑만이 남았습니다. 고종이 일본의 무력 압박을 피한 아관파천의 현장으로 유명합니다.<NA><NA><NA>서울특별시 중구 정동길 21-18 정동공원서울특별시 중구 정동길서울시 중구청KOR2015-12-30DATAHTML<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
45JGS_000005정동제일교회<NA>JGH_000367126.9723637.56542<NA>정동제일교회는 1895년(고종 32) 착공하여 1897년(광무 1) 10월에 준공된 개신교 교회 예배당입니다.<NA><NA><NA>서울특별시 중구 정동길 46 정동교회서울특별시 중구 정동길서울시 중구청KOR2015-12-30DATAHTML<NA><NA><NA><NA><NA>주차가능<NA><NA><NA><NA>
56JGS_000006구 배재학당 동관(배재학당 역사박물관)<NA>JGH_000368126.9726237.56378<NA>이 건물은 1916년 준공하여 배재중?고등학교가 1984년 강동구로 이전하기 전까지 교사로 사용한 곳입니다. 배재학당은 선교사 아펜젤러(Henry Gerhard Appenzeller)가 1885년 8월에 세운 학교로 처음에는 주변의 민가를 사들여 교사(校舍)로 사용했습니다.<NA><NA><NA>서울특별시 중구 서소문로 11길 19서울특별시 중구 서소문로서울시 중구청KOR2015-12-30DATAHTML<NA>서울특별시 기념물 제16호매주 월요일, 공휴일매일 10:00 ~ 17:00무료<NA><NA><NA><NA><NA>
67JGS_000007서울시립미술관<NA>JGH_000313126.9737737.56402<NA>이곳은 육영공원과 독일공사관, 경성재판소가 있던 자리입니다. 광복 후에는 대한민국의 대법원 건물이 되었으며 2002년에 서울시립미술관으로 개관하였습니다.<NA><NA><NA>서울특별시 중구 덕수궁길 61서울특별시 중구 덕수궁길서울시 중구청KOR2015-12-30DATAHTML02-2124-8800등록문화재 제237호매주 월요일, 1월 1일<NA><NA>주차가능<NA><NA><NA><NA>
78JGS_000008경운궁 양이재<NA>JGH_000361126.9754437.56694<NA>대화재로 불탔던 경운궁(덕수궁)을 다시 지을 때 같이 지은 건물로 1905년에 완공되었습니다. 대한제국 황족과 귀족들의 근대식 교육을 담당했던 곳이었으며 현재는 대한성공회 주교 집무실로 사용되고 있습니다.<NA><NA><NA>서울특별시 중구 세종대로21길 15서울특별시 중구 세종대로서울시 중구청KOR2015-12-30DATAHTML<NA>등록문화재 제267호<NA><NA><NA><NA><NA><NA><NA><NA>
89JGS_000009구 신아일보사 별관<NA>JGH_000354126.9721737.56619<NA>1930년대 지하 1층, 지상 2층으로 건축된 철근콘크리트 건물로 미국기업인 싱어미싱회사 한국지부로 사용되다가, 1963년 신아일보가 매입하여 1975년 3, 4층을 증축하여 별관으로 사용합니다. 신아일보는 1980년 신군부의 언론통폐합으로 경향신문에 흡수?통합되었습니다.<NA><NA><NA>서울특별시 중구 정동길 33서울특별시 중구 정동길서울시 중구청KOR2015-12-30DATAHTML<NA>등록문화재 제402호<NA><NA><NA><NA><NA><NA><NA><NA>
910JGS_000010구세군중앙회관<NA>JGH_000352126.973637.56761<NA>구세군중앙회관은 구세군의 사관 양성과 선교활동 사회사업의 근거지로 사용하기 위해 1928년에 준공되었습니다.<NA><NA><NA>서울특별시 중구 덕수궁길 130서울특별시 중구 덕수궁길서울시 중구청KOR2015-12-30DATAHTML02-720-9494서울특별시 기념물 제20호<NA><NA><NA><NA><NA><NA><NA><NA>
상세고유순번관리번호명칭관련항목연계자원경도정보(127.XX)위도정보(36.XXX)이명칭개요시대분류주제분류지번주소도로명주소지역제공기관언어유형제작일유형형식전화번호지정현황휴무일이용시간이용요금주차장애인 편의시설체험안내안내서비스예약
129674JGS_000131연등놀이<NA><NA>126.9818737.568862<NA>부처님께 복을 비는 연등놀이<NA><NA><NA>서울특별시 청계천<NA>서울특별시KOR<NA>DATAHTML<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
130679JGS_000132돌싸움<NA><NA>126.98433937.568659<NA>조선의 호전적인 돌싸움<NA><NA><NA>서울특별시 청계천<NA>서울특별시KOR<NA>DATAHTML<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
131684JGS_000133택견<NA><NA>127.00124237.569457<NA>대쾌도. 조선의 마지막 택견수련터와 인사동 택견배틀<NA><NA><NA>서울특별시 청계천<NA>서울특별시KOR<NA>DATAHTML<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
132689JGS_000134수선전도<NA><NA>126.9848937.568552<NA>한양을 그린 수선전도<NA><NA><NA>서울특별시 종로구<NA>서울특별시KOR<NA>DATAHTML<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
133694JGS_000135정조대왕능행반차도<NA><NA>126.9852737.568509<NA>사도세자의 묘에 참배 가는 정조대왕 행렬<NA><NA><NA>서울특별시 종로구<NA>서울특별시KOR<NA>DATAHTML<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
134699JGS_000136영조어필/준천가<NA><NA>127.00968237.569826<NA>영조의 준천공사에 대한 기쁨과 채제공의 시<NA><NA><NA>서울특별시 종로구<NA>서울특별시KOR<NA>DATAHTML<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
135704JGS_000137오간수문<NA><NA>127.01061437.569765<NA>청계천의 물길이 나가는 한양의 성벽, 오간수문<NA><NA><NA>서울특별시 종로구<NA>서울특별시KOR<NA>DATAHTML<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
136709JGS_000138준천도<NA><NA>127.0096837.569675<NA>영조, 오간수문에서 준천공사를 독려하다.<NA><NA><NA>서울특별시 중구<NA>서울특별시KOR<NA>DATAHTML<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
137714JGS_000139청계천 옛 모습 벽화<NA><NA>127.01377437.569842<NA>청계천 옛 모습<NA><NA><NA>서울특별시 종로구<NA>서울특별시KOR<NA>DATAHTML<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13819JGS_000019세실극장<NA>JGH_001147126.9759937.56673<NA>1976년 대한성공회 대성당 부속건물에 개관한 소극장입니다. 대한민국연극제를 1회부터 5회까지 개최한 소극장으로, 1970년대 불었던 소극장 운동의 중심지였습니다.<NA><NA><NA>서울특별시 중구 세종대로19길 16서울특별시 중구 세종대로서울시 중구청KOR2015-12-30DATAHTML02-742-7601<NA><NA><NA><NA><NA><NA><NA><NA><NA>