Overview

Dataset statistics

Number of variables29
Number of observations797
Missing cells8297
Missing cells (%)35.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory183.0 KiB
Average record size in memory235.2 B

Variable types

Text12
Numeric2
Unsupported13
Categorical1
DateTime1

Dataset

Description서울특별시 중구가 보유하고 있는 중요 역사 문화 자원에 대하여 영어, 일어, 중국어 등 다국어 정보로 안내하고 있습니다.
Author서울특별시 중구
URLhttps://www.data.go.kr/data/15045494/fileData.do

Alerts

Unnamed: 26 has constant value ""Constant
Unnamed: 27 has constant value ""Constant
Unnamed: 28 has constant value ""Constant
Unnamed: 25 is highly imbalanced (98.6%)Imbalance
관련항목 has 425 (53.3%) missing valuesMissing
연계자원 has 712 (89.3%) missing valuesMissing
경도정보(127.XX) has 72 (9.0%) missing valuesMissing
위도정보(36.XXX) has 72 (9.0%) missing valuesMissing
이명칭 has 635 (79.7%) missing valuesMissing
역사정보 has 43 (5.4%) missing valuesMissing
시작일(발생일) has 9 (1.1%) missing valuesMissing
인물 has 773 (97.0%) missing valuesMissing
Unnamed: 21 has 779 (97.7%) missing valuesMissing
Unnamed: 22 has 785 (98.5%) missing valuesMissing
Unnamed: 23 has 791 (99.2%) missing valuesMissing
Unnamed: 24 has 795 (99.7%) missing valuesMissing
Unnamed: 26 has 796 (99.9%) missing valuesMissing
Unnamed: 27 has 796 (99.9%) missing valuesMissing
Unnamed: 28 has 796 (99.9%) missing valuesMissing
경도정보(127.XX) is highly skewed (γ1 = -26.92507595)Skewed
위도정보(36.XXX) is highly skewed (γ1 = 26.92572966)Skewed
관리번호 has unique valuesUnique
역사정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시작일(발생일) is an unsupported type, check if it needs cleaning or further analysisUnsupported
인물 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공기관 is an unsupported type, check if it needs cleaning or further analysisUnsupported
언어유형 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작일 is an unsupported type, check if it needs cleaning or further analysisUnsupported
유형 is an unsupported type, check if it needs cleaning or further analysisUnsupported
형식 is an unsupported type, check if it needs cleaning or further analysisUnsupported
등록일 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 21 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 22 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 23 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 24 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-15 02:12:44.952225
Analysis finished2024-03-15 02:12:46.146372
Duration1.19 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리번호
Text

UNIQUE 

Distinct797
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
2024-03-15T11:12:47.146880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters7970
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

Unique797 ?
Unique (%)100.0%

Sample

1st rowJGH_000028
2nd rowJGH_000479
3rd rowJGH_000006
4th rowJGH_000483
5th rowJGH_000001
ValueCountFrequency (%)
jgh_000028 1
 
0.1%
jgh_000816 1
 
0.1%
jgh_000845 1
 
0.1%
jgh_000811 1
 
0.1%
jgh_000774 1
 
0.1%
jgh_000775 1
 
0.1%
jgh_001126 1
 
0.1%
jgh_000797 1
 
0.1%
jgh_000805 1
 
0.1%
jgh_000846 1
 
0.1%
Other values (787) 787
98.7%
2024-03-15T11:12:48.629085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2623
32.9%
J 797
 
10.0%
G 797
 
10.0%
H 797
 
10.0%
_ 797
 
10.0%
1 268
 
3.4%
5 257
 
3.2%
7 255
 
3.2%
6 254
 
3.2%
4 250
 
3.1%
Other values (4) 875
 
11.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4782
60.0%
Uppercase Letter 2391
30.0%
Connector Punctuation 797
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2623
54.9%
1 268
 
5.6%
5 257
 
5.4%
7 255
 
5.3%
6 254
 
5.3%
4 250
 
5.2%
3 241
 
5.0%
8 233
 
4.9%
2 230
 
4.8%
9 171
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
J 797
33.3%
G 797
33.3%
H 797
33.3%
Connector Punctuation
ValueCountFrequency (%)
_ 797
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5579
70.0%
Latin 2391
30.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2623
47.0%
_ 797
 
14.3%
1 268
 
4.8%
5 257
 
4.6%
7 255
 
4.6%
6 254
 
4.6%
4 250
 
4.5%
3 241
 
4.3%
8 233
 
4.2%
2 230
 
4.1%
Latin
ValueCountFrequency (%)
J 797
33.3%
G 797
33.3%
H 797
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7970
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2623
32.9%
J 797
 
10.0%
G 797
 
10.0%
H 797
 
10.0%
_ 797
 
10.0%
1 268
 
3.4%
5 257
 
3.2%
7 255
 
3.2%
6 254
 
3.2%
4 250
 
3.1%
Other values (4) 875
 
11.0%

명칭
Text

Distinct795
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
2024-03-15T11:12:49.805735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length103
Median length74
Mean length30.652447
Min length3

Characters and Unicode

Total characters24430
Distinct characters82
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique793 ?
Unique (%)99.5%

Sample

1st rowDongguk University Hyehwagwan Building
2nd rowEungbong Park
3rd rowThe House of Yi Seung-eop in Samgak-dong
4th rowSeoul Art Space Sindang
5th rowKorea House
ValueCountFrequency (%)
of 356
 
10.1%
site 169
 
4.8%
the 80
 
2.3%
bridge 55
 
1.6%
seoul 48
 
1.4%
center 48
 
1.4%
stream 47
 
1.3%
school 42
 
1.2%
house 38
 
1.1%
park 37
 
1.0%
Other values (1231) 2614
74.0%
2024-03-15T11:12:51.488101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2739
 
11.2%
e 2269
 
9.3%
o 1999
 
8.2%
n 1856
 
7.6%
a 1654
 
6.8%
i 1170
 
4.8%
g 1148
 
4.7%
t 1034
 
4.2%
r 1026
 
4.2%
u 854
 
3.5%
Other values (72) 8681
35.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 18032
73.8%
Uppercase Letter 2978
 
12.2%
Space Separator 2739
 
11.2%
Dash Punctuation 226
 
0.9%
Decimal Number 139
 
0.6%
Open Punctuation 97
 
0.4%
Close Punctuation 97
 
0.4%
Other Punctuation 90
 
0.4%
Final Punctuation 28
 
0.1%
Other Letter 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 2269
12.6%
o 1999
11.1%
n 1856
10.3%
a 1654
 
9.2%
i 1170
 
6.5%
g 1148
 
6.4%
t 1034
 
5.7%
r 1026
 
5.7%
u 854
 
4.7%
l 713
 
4.0%
Other values (18) 4309
23.9%
Uppercase Letter
ValueCountFrequency (%)
S 668
22.4%
C 286
 
9.6%
H 221
 
7.4%
M 195
 
6.5%
B 178
 
6.0%
P 170
 
5.7%
T 142
 
4.8%
G 140
 
4.7%
J 132
 
4.4%
D 106
 
3.6%
Other values (16) 740
24.8%
Decimal Number
ValueCountFrequency (%)
2 41
29.5%
1 30
21.6%
8 12
 
8.6%
3 12
 
8.6%
9 10
 
7.2%
6 10
 
7.2%
4 8
 
5.8%
7 8
 
5.8%
5 5
 
3.6%
0 3
 
2.2%
Other Punctuation
ValueCountFrequency (%)
, 49
54.4%
' 18
 
20.0%
. 11
 
12.2%
& 8
 
8.9%
" 2
 
2.2%
! 1
 
1.1%
: 1
 
1.1%
Other Letter
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 96
99.0%
[ 1
 
1.0%
Close Punctuation
ValueCountFrequency (%)
) 96
99.0%
] 1
 
1.0%
Space Separator
ValueCountFrequency (%)
2739
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 226
100.0%
Final Punctuation
ValueCountFrequency (%)
28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 21010
86.0%
Common 3416
 
14.0%
Han 4
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 2269
 
10.8%
o 1999
 
9.5%
n 1856
 
8.8%
a 1654
 
7.9%
i 1170
 
5.6%
g 1148
 
5.5%
t 1034
 
4.9%
r 1026
 
4.9%
u 854
 
4.1%
l 713
 
3.4%
Other values (44) 7287
34.7%
Common
ValueCountFrequency (%)
2739
80.2%
- 226
 
6.6%
( 96
 
2.8%
) 96
 
2.8%
, 49
 
1.4%
2 41
 
1.2%
1 30
 
0.9%
28
 
0.8%
' 18
 
0.5%
8 12
 
0.4%
Other values (14) 81
 
2.4%
Han
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24396
99.9%
Punctuation 28
 
0.1%
CJK 3
 
< 0.1%
None 2
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2739
 
11.2%
e 2269
 
9.3%
o 1999
 
8.2%
n 1856
 
7.6%
a 1654
 
6.8%
i 1170
 
4.8%
g 1148
 
4.7%
t 1034
 
4.2%
r 1026
 
4.2%
u 854
 
3.5%
Other values (65) 8647
35.4%
Punctuation
ValueCountFrequency (%)
28
100.0%
CJK
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%
None
ValueCountFrequency (%)
ū 1
50.0%
ç 1
50.0%
CJK Compat Ideographs
ValueCountFrequency (%)
1
100.0%

관련항목
Text

MISSING 

Distinct282
Distinct (%)75.8%
Missing425
Missing (%)53.3%
Memory size6.4 KiB
2024-03-15T11:12:52.175318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length164
Median length10
Mean length19.897849
Min length10

Characters and Unicode

Total characters7402
Distinct characters16
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique254 ?
Unique (%)68.3%

Sample

1st rowJGH_000010
2nd rowJGH_000432
3rd rowJGH_000010
4th rowJGH_000010
5th rowJGH_000010
ValueCountFrequency (%)
jgh_000444 21
 
5.6%
jgh_001181 19
 
5.1%
jgh_000370 13
 
3.5%
jgh_000010 7
 
1.9%
jgh_000447 6
 
1.6%
jgh_000727 4
 
1.1%
jgh_000400 4
 
1.1%
jgh_000131 3
 
0.8%
jgh_000456 3
 
0.8%
jgh_000444,jgh_000445 2
 
0.5%
Other values (272) 290
78.0%
2024-03-15T11:12:53.086971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2423
32.7%
J 706
 
9.5%
G 706
 
9.5%
H 706
 
9.5%
_ 706
 
9.5%
, 335
 
4.5%
4 322
 
4.4%
1 246
 
3.3%
8 230
 
3.1%
7 226
 
3.1%
Other values (6) 796
 
10.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4242
57.3%
Uppercase Letter 2118
28.6%
Connector Punctuation 706
 
9.5%
Other Punctuation 335
 
4.5%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2423
57.1%
4 322
 
7.6%
1 246
 
5.8%
8 230
 
5.4%
7 226
 
5.3%
3 203
 
4.8%
6 192
 
4.5%
5 153
 
3.6%
2 128
 
3.0%
9 119
 
2.8%
Uppercase Letter
ValueCountFrequency (%)
J 706
33.3%
G 706
33.3%
H 706
33.3%
Connector Punctuation
ValueCountFrequency (%)
_ 706
100.0%
Other Punctuation
ValueCountFrequency (%)
, 335
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5284
71.4%
Latin 2118
28.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2423
45.9%
_ 706
 
13.4%
, 335
 
6.3%
4 322
 
6.1%
1 246
 
4.7%
8 230
 
4.4%
7 226
 
4.3%
3 203
 
3.8%
6 192
 
3.6%
5 153
 
2.9%
Other values (3) 248
 
4.7%
Latin
ValueCountFrequency (%)
J 706
33.3%
G 706
33.3%
H 706
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7402
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2423
32.7%
J 706
 
9.5%
G 706
 
9.5%
H 706
 
9.5%
_ 706
 
9.5%
, 335
 
4.5%
4 322
 
4.4%
1 246
 
3.3%
8 230
 
3.1%
7 226
 
3.1%
Other values (6) 796
 
10.8%

연계자원
Text

MISSING 

Distinct85
Distinct (%)100.0%
Missing712
Missing (%)89.3%
Memory size6.4 KiB
2024-03-15T11:12:54.356934image/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 rowJGS_000024
2nd rowJGS_000062
3rd rowJGS_000027
4th rowJGS_000025
5th rowJGS_000028
ValueCountFrequency (%)
jgs_000045 1
 
1.2%
jgs_000044 1
 
1.2%
jgs_000056 1
 
1.2%
jgs_000099 1
 
1.2%
jgs_000065 1
 
1.2%
jgs_000043 1
 
1.2%
jgs_000040 1
 
1.2%
jgs_000064 1
 
1.2%
jgs_000066 1
 
1.2%
jgs_000020 1
 
1.2%
Other values (75) 75
88.2%
2024-03-15T11:12:55.659511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 357
42.0%
J 85
 
10.0%
G 85
 
10.0%
S 85
 
10.0%
_ 85
 
10.0%
4 19
 
2.2%
2 19
 
2.2%
1 19
 
2.2%
5 18
 
2.1%
7 18
 
2.1%
Other values (4) 60
 
7.1%

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 (%)
0 357
70.0%
4 19
 
3.7%
2 19
 
3.7%
1 19
 
3.7%
5 18
 
3.5%
7 18
 
3.5%
6 18
 
3.5%
3 17
 
3.3%
8 14
 
2.7%
9 11
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
J 85
33.3%
G 85
33.3%
S 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 (%)
0 357
60.0%
_ 85
 
14.3%
4 19
 
3.2%
2 19
 
3.2%
1 19
 
3.2%
5 18
 
3.0%
7 18
 
3.0%
6 18
 
3.0%
3 17
 
2.9%
8 14
 
2.4%
Latin
ValueCountFrequency (%)
J 85
33.3%
G 85
33.3%
S 85
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 850
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 357
42.0%
J 85
 
10.0%
G 85
 
10.0%
S 85
 
10.0%
_ 85
 
10.0%
4 19
 
2.2%
2 19
 
2.2%
1 19
 
2.2%
5 18
 
2.1%
7 18
 
2.1%
Other values (4) 60
 
7.1%

경도정보(127.XX)
Real number (ℝ)

MISSING  SKEWED 

Distinct519
Distinct (%)71.6%
Missing72
Missing (%)9.0%
Infinite0
Infinite (%)0.0%
Mean126.86595
Minimum37.55317
Maximum127.025
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-03-15T11:12:56.161647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.55317
5-th percentile126.96902
Q1126.97653
median126.98758
Q3127.00081
95-th percentile127.01321
Maximum127.025
Range89.471834
Interquartile range (IQR)0.0242807

Descriptive statistics

Standard deviation3.3216055
Coefficient of variation (CV)0.02618201
Kurtosis724.97311
Mean126.86595
Median Absolute Deviation (MAD)0.0115899
Skewness-26.925076
Sum91977.813
Variance11.033063
MonotonicityNot monotonic
2024-03-15T11:12:56.858869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.9760655 21
 
2.6%
126.9990619 17
 
2.1%
126.993561 12
 
1.5%
127.0001869 10
 
1.3%
126.9902669 9
 
1.1%
126.9663687 7
 
0.9%
127.0097934 5
 
0.6%
126.9817309 5
 
0.6%
126.9847708 5
 
0.6%
126.988092 5
 
0.6%
Other values (509) 629
78.9%
(Missing) 72
 
9.0%
ValueCountFrequency (%)
37.5531696 1
 
0.1%
126.9618745 1
 
0.1%
126.9628 1
 
0.1%
126.963323 1
 
0.1%
126.9641106 1
 
0.1%
126.9641308 1
 
0.1%
126.966205 2
 
0.3%
126.9662871 1
 
0.1%
126.9663687 7
0.9%
126.9669871 3
0.4%
ValueCountFrequency (%)
127.0250041 1
0.1%
127.0233836 1
0.1%
127.022704 1
0.1%
127.0218852 1
0.1%
127.0218074 1
0.1%
127.0217663 1
0.1%
127.0212812 1
0.1%
127.0210984 1
0.1%
127.0204904 1
0.1%
127.020038 1
0.1%

위도정보(36.XXX)
Real number (ℝ)

MISSING  SKEWED 

Distinct520
Distinct (%)71.7%
Missing72
Missing (%)9.0%
Infinite0
Infinite (%)0.0%
Mean37.685413
Minimum37.54712
Maximum127.0062
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2024-03-15T11:12:57.477413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.54712
5-th percentile37.552702
Q137.558321
median37.562328
Q337.566457
95-th percentile37.568883
Maximum127.0062
Range89.459085
Interquartile range (IQR)0.0081362

Descriptive statistics

Standard deviation3.3218767
Coefficient of variation (CV)0.088147547
Kurtosis724.99661
Mean37.685413
Median Absolute Deviation (MAD)0.0040579
Skewness26.92573
Sum27321.924
Variance11.034865
MonotonicityNot monotonic
2024-03-15T11:12:57.975731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.5676649 21
 
2.6%
37.5579682 17
 
2.1%
37.5584554 12
 
1.5%
37.5582582 10
 
1.3%
37.5591077 9
 
1.1%
37.5569261 7
 
0.9%
37.5519464 5
 
0.6%
37.5647524 5
 
0.6%
37.5656187 5
 
0.6%
37.5669654 5
 
0.6%
Other values (510) 629
78.9%
(Missing) 72
 
9.0%
ValueCountFrequency (%)
37.54712 1
0.1%
37.5479206 1
0.1%
37.5481408 1
0.1%
37.548707 1
0.1%
37.549492 1
0.1%
37.5496721 1
0.1%
37.5500121 2
0.3%
37.550071 2
0.3%
37.5501776 1
0.1%
37.5510742 1
0.1%
ValueCountFrequency (%)
127.0062047 1
0.1%
37.5783108 1
0.1%
37.5717155 1
0.1%
37.5713556 1
0.1%
37.5710754 1
0.1%
37.5709405 1
0.1%
37.5698371 1
0.1%
37.569775 1
0.1%
37.5697667 1
0.1%
37.5697285 1
0.1%

이명칭
Text

MISSING 

Distinct151
Distinct (%)93.2%
Missing635
Missing (%)79.7%
Memory size6.4 KiB
2024-03-15T11:12:59.483992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length124
Median length56
Mean length32.104938
Min length3

Characters and Unicode

Total characters5201
Distinct characters63
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique148 ?
Unique (%)91.4%

Sample

1st rowFormer Jungang Civil Servant Training Center
2nd rowChohung Bank Management House
3rd rowKim Hong-gi’s House in Samcheong-dong
4th rowThe House of Yi Jin-seung, and the House of Park Yeong-hyo in Gwanhun-dong
5th rowFormer Faculty House, Dongguk University
ValueCountFrequency (%)
of 51
 
7.1%
site 21
 
2.9%
house 14
 
1.9%
the 14
 
1.9%
bridge 13
 
1.8%
seoul 12
 
1.7%
namsan 11
 
1.5%
church 10
 
1.4%
in 9
 
1.2%
hall 9
 
1.2%
Other values (360) 559
77.3%
2024-03-15T11:13:01.230631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
562
 
10.8%
n 462
 
8.9%
e 449
 
8.6%
o 424
 
8.2%
a 380
 
7.3%
g 295
 
5.7%
i 232
 
4.5%
u 198
 
3.8%
r 197
 
3.8%
t 186
 
3.6%
Other values (53) 1816
34.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3883
74.7%
Uppercase Letter 630
 
12.1%
Space Separator 562
 
10.8%
Other Punctuation 57
 
1.1%
Dash Punctuation 40
 
0.8%
Decimal Number 15
 
0.3%
Close Punctuation 5
 
0.1%
Open Punctuation 5
 
0.1%
Final Punctuation 4
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 462
11.9%
e 449
11.6%
o 424
10.9%
a 380
9.8%
g 295
 
7.6%
i 232
 
6.0%
u 198
 
5.1%
r 197
 
5.1%
t 186
 
4.8%
h 138
 
3.6%
Other values (16) 922
23.7%
Uppercase Letter
ValueCountFrequency (%)
S 112
17.8%
C 55
 
8.7%
H 55
 
8.7%
M 49
 
7.8%
G 44
 
7.0%
B 35
 
5.6%
P 33
 
5.2%
T 31
 
4.9%
N 31
 
4.9%
D 29
 
4.6%
Other values (14) 156
24.8%
Other Punctuation
ValueCountFrequency (%)
, 49
86.0%
' 3
 
5.3%
/ 2
 
3.5%
; 2
 
3.5%
& 1
 
1.8%
Decimal Number
ValueCountFrequency (%)
2 10
66.7%
1 4
 
26.7%
4 1
 
6.7%
Space Separator
ValueCountFrequency (%)
562
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Final Punctuation
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4513
86.8%
Common 688
 
13.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 462
 
10.2%
e 449
 
9.9%
o 424
 
9.4%
a 380
 
8.4%
g 295
 
6.5%
i 232
 
5.1%
u 198
 
4.4%
r 197
 
4.4%
t 186
 
4.1%
h 138
 
3.1%
Other values (40) 1552
34.4%
Common
ValueCountFrequency (%)
562
81.7%
, 49
 
7.1%
- 40
 
5.8%
2 10
 
1.5%
) 5
 
0.7%
( 5
 
0.7%
1 4
 
0.6%
4
 
0.6%
' 3
 
0.4%
/ 2
 
0.3%
Other values (3) 4
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5196
99.9%
Punctuation 4
 
0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
562
 
10.8%
n 462
 
8.9%
e 449
 
8.6%
o 424
 
8.2%
a 380
 
7.3%
g 295
 
5.7%
i 232
 
4.5%
u 198
 
3.8%
r 197
 
3.8%
t 186
 
3.6%
Other values (51) 1811
34.9%
Punctuation
ValueCountFrequency (%)
4
100.0%
None
ValueCountFrequency (%)
ç 1
100.0%

지역
Text

Distinct150
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
2024-03-15T11:13:02.208710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length39
Mean length27.68256
Min length14

Characters and Unicode

Total characters22063
Distinct characters54
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

Unique49 ?
Unique (%)6.1%

Sample

1st rowPil-dong 3-ga, Jung-gu, Seoul
2nd rowSindang-dong, Jung-gu, Seoul
3rd rowToegye-ro, Jung-gu, Seoul
4th rowMajang-ro, Jung-gu, Seoul
5th rowToegye-ro, Jung-gu, Seoul
ValueCountFrequency (%)
seoul 796
31.2%
jung-gu 783
30.6%
2-ga 86
 
3.4%
toegye-ro 51
 
2.0%
eulji-ro 51
 
2.0%
1-ga 51
 
2.0%
namdaemun-ro 34
 
1.3%
jeong-dong 33
 
1.3%
sejong-daero 31
 
1.2%
jangchung-dong 27
 
1.1%
Other values (111) 612
24.0%
2024-03-15T11:13:03.699435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
g 2807
12.7%
u 2671
12.1%
o 2063
9.4%
n 1871
8.5%
1759
8.0%
- 1747
 
7.9%
, 1555
 
7.0%
e 1309
 
5.9%
l 961
 
4.4%
S 952
 
4.3%
Other values (44) 4368
19.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 14405
65.3%
Uppercase Letter 2350
 
10.7%
Space Separator 1759
 
8.0%
Dash Punctuation 1747
 
7.9%
Other Punctuation 1555
 
7.0%
Decimal Number 239
 
1.1%
Close Punctuation 3
 
< 0.1%
Other Letter 3
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
g 2807
19.5%
u 2671
18.5%
o 2063
14.3%
n 1871
13.0%
e 1309
9.1%
l 961
 
6.7%
a 718
 
5.0%
d 472
 
3.3%
r 410
 
2.8%
i 200
 
1.4%
Other values (10) 923
 
6.4%
Uppercase Letter
ValueCountFrequency (%)
S 952
40.5%
J 911
38.8%
T 79
 
3.4%
N 70
 
3.0%
E 61
 
2.6%
M 55
 
2.3%
C 48
 
2.0%
P 43
 
1.8%
D 43
 
1.8%
H 36
 
1.5%
Other values (7) 52
 
2.2%
Decimal Number
ValueCountFrequency (%)
2 89
37.2%
1 68
28.5%
3 32
 
13.4%
5 22
 
9.2%
6 13
 
5.4%
4 11
 
4.6%
0 2
 
0.8%
8 1
 
0.4%
7 1
 
0.4%
Other Letter
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%
Space Separator
ValueCountFrequency (%)
1759
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1747
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1555
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 16755
75.9%
Common 5305
 
24.0%
Hangul 3
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
g 2807
16.8%
u 2671
15.9%
o 2063
12.3%
n 1871
11.2%
e 1309
7.8%
l 961
 
5.7%
S 952
 
5.7%
J 911
 
5.4%
a 718
 
4.3%
d 472
 
2.8%
Other values (27) 2020
12.1%
Common
ValueCountFrequency (%)
1759
33.2%
- 1747
32.9%
, 1555
29.3%
2 89
 
1.7%
1 68
 
1.3%
3 32
 
0.6%
5 22
 
0.4%
6 13
 
0.2%
4 11
 
0.2%
) 3
 
0.1%
Other values (4) 6
 
0.1%
Hangul
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22060
> 99.9%
Hangul 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
g 2807
12.7%
u 2671
12.1%
o 2063
9.4%
n 1871
8.5%
1759
8.0%
- 1747
7.9%
, 1555
 
7.0%
e 1309
 
5.9%
l 961
 
4.4%
S 952
 
4.3%
Other values (41) 4365
19.8%
Hangul
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%
Distinct619
Distinct (%)77.7%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
2024-03-15T11:13:04.970045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length114
Median length89
Mean length56.097867
Min length14

Characters and Unicode

Total characters44710
Distinct characters67
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique546 ?
Unique (%)68.5%

Sample

1st row30, Pildong-ro 1-gil, Jung-gu, Seoul (26, Pil-dong 3-ga)
2nd row1-72, Sindang-dong, Jung-gu, Seoul
3rd row28, Toegye-ro 34-gil, Jung-gu, Seoul (84-1 Pil-dong 2-ga)
4th rowSindang Underground Shopping Center, 87, Majang-ro, Jung-gu, Seoul (117, Hwanghak-dong)
5th row10, Toegye-ro 34-gil, Jung-gu, Seoul (80-2 Pil-dong 2-ga)
ValueCountFrequency (%)
seoul 797
 
14.3%
jung-gu 778
 
14.0%
2-ga 191
 
3.4%
1-ga 116
 
2.1%
eulji-ro 95
 
1.7%
toegye-ro 79
 
1.4%
jangchung-dong 74
 
1.3%
sejong-daero 72
 
1.3%
jeong-dong 66
 
1.2%
namdaemun-ro 60
 
1.1%
Other values (861) 3238
58.2%
2024-03-15T11:13:06.799500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4778
 
10.7%
g 4334
 
9.7%
- 3443
 
7.7%
o 3370
 
7.5%
n 3152
 
7.0%
u 3063
 
6.9%
, 2912
 
6.5%
e 1978
 
4.4%
a 1665
 
3.7%
l 1453
 
3.2%
Other values (57) 14562
32.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 24130
54.0%
Space Separator 4778
 
10.7%
Decimal Number 4638
 
10.4%
Uppercase Letter 3499
 
7.8%
Dash Punctuation 3444
 
7.7%
Other Punctuation 2917
 
6.5%
Open Punctuation 649
 
1.5%
Close Punctuation 649
 
1.5%
Math Symbol 6
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
g 4334
18.0%
o 3370
14.0%
n 3152
13.1%
u 3063
12.7%
e 1978
8.2%
a 1665
 
6.9%
l 1453
 
6.0%
r 1004
 
4.2%
d 985
 
4.1%
i 832
 
3.4%
Other values (16) 2294
9.5%
Uppercase Letter
ValueCountFrequency (%)
S 1213
34.7%
J 1041
29.8%
C 143
 
4.1%
T 133
 
3.8%
N 131
 
3.7%
M 117
 
3.3%
E 114
 
3.3%
D 99
 
2.8%
P 97
 
2.8%
H 69
 
2.0%
Other values (13) 342
 
9.8%
Decimal Number
ValueCountFrequency (%)
1 1131
24.4%
2 871
18.8%
3 430
 
9.3%
5 370
 
8.0%
4 351
 
7.6%
0 345
 
7.4%
6 345
 
7.4%
7 277
 
6.0%
8 263
 
5.7%
9 255
 
5.5%
Dash Punctuation
ValueCountFrequency (%)
- 3443
> 99.9%
1
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
, 2912
99.8%
. 5
 
0.2%
Space Separator
ValueCountFrequency (%)
4778
100.0%
Open Punctuation
ValueCountFrequency (%)
( 649
100.0%
Close Punctuation
ValueCountFrequency (%)
) 649
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 27629
61.8%
Common 17081
38.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
g 4334
15.7%
o 3370
12.2%
n 3152
11.4%
u 3063
11.1%
e 1978
 
7.2%
a 1665
 
6.0%
l 1453
 
5.3%
S 1213
 
4.4%
J 1041
 
3.8%
r 1004
 
3.6%
Other values (39) 5356
19.4%
Common
ValueCountFrequency (%)
4778
28.0%
- 3443
20.2%
, 2912
17.0%
1 1131
 
6.6%
2 871
 
5.1%
( 649
 
3.8%
) 649
 
3.8%
3 430
 
2.5%
5 370
 
2.2%
4 351
 
2.1%
Other values (8) 1497
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 44709
> 99.9%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4778
 
10.7%
g 4334
 
9.7%
- 3443
 
7.7%
o 3370
 
7.5%
n 3152
 
7.1%
u 3063
 
6.9%
, 2912
 
6.5%
e 1978
 
4.4%
a 1665
 
3.7%
l 1453
 
3.2%
Other values (56) 14561
32.6%
Punctuation
ValueCountFrequency (%)
1
100.0%

개요
Text

Distinct796
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
2024-03-15T11:13:08.531607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length468
Mean length360.34003
Min length53

Characters and Unicode

Total characters287191
Distinct characters98
Distinct categories13 ?
Distinct scripts2 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique795 ?
Unique (%)99.7%

Sample

1st rowDongguk University Hyehwagwan Building was occupied by the College of Bio-System and Foreign Language Education Center and was built in 1963 as the government owned and run Jungang Civil Servant Training Center. In 1970 Jogye Order of Korean Buddhism purchased the building and was renamed Hyehwagwan Building of Dongguk University. The building still belongs to Dongguk University ever since Jungang Civil Servant Training Center moved to Daejeon on May 1974.
2nd rowEungbong Park is a downtown park constructed by Jung-gu Office around Eungbongsan mountain in a dense residential area being surrounded by large apartment complexes, such as Yaksu Heights Apartment, Sindang Hyundai Apartment, and Hyundai Apartment.
3rd rowThis middle-class house in Samgak-dong was built in the 1860s by Yi Seung-eop, who served as the head carpenter in the restoration of Gyeongbokgung Palace conducted in 1867. In 1970, it became Chohung Bank Management House, which served as its archives, while in 1998, along with the relocation to Namsangol Hanok Village, it was opened to the public under its current name. Boasting excellent construction techniques and decorative features, the house is considered an important structure that exhibits the typical features of middle-class dwellings of the late Joseon period.
4th rowSeoul Art Space Sindang consists of crafts-centered creativity workshops which were opened after remodeling 52 empty stores within Sindang Basement Shopping Center. Seoul Cultural Foundation is in charge of the management and operation of the arcade.
5th rowCurrently run by the Korea Cultural Heritage Foundation, Korea House was originally established as a cultural complex with the aim of introducing Korea’s traditional lifestyle and culture to the general public, and as a traditional cultural experience space. It was opened by the Public Affairs Office in 1957, and renovated and reopened in the style of a traditional Korean structure modelled on Jagyeongjeon Hall of Gyeongbokgung Palace in 1981. Its major buildings include Haeringwan, Munhyangru, Nokeumjeong, and Cheongujeong.
ValueCountFrequency (%)
the 3192
 
6.9%
of 1919
 
4.2%
in 1647
 
3.6%
and 1421
 
3.1%
was 1147
 
2.5%
a 1001
 
2.2%
is 996
 
2.2%
to 847
 
1.8%
it 675
 
1.5%
seoul 574
 
1.2%
Other values (5790) 32528
70.8%
2024-03-15T11:13:10.270587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
45153
15.7%
e 25441
 
8.9%
n 19209
 
6.7%
a 18919
 
6.6%
o 18857
 
6.6%
t 16546
 
5.8%
i 15574
 
5.4%
s 12662
 
4.4%
r 12495
 
4.4%
h 8973
 
3.1%
Other values (88) 93362
32.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 213296
74.3%
Space Separator 45154
 
15.7%
Uppercase Letter 13330
 
4.6%
Decimal Number 6743
 
2.3%
Other Punctuation 5351
 
1.9%
Dash Punctuation 1924
 
0.7%
Close Punctuation 417
 
0.1%
Open Punctuation 415
 
0.1%
Final Punctuation 378
 
0.1%
Initial Punctuation 89
 
< 0.1%
Other values (3) 94
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 25441
11.9%
n 19209
 
9.0%
a 18919
 
8.9%
o 18857
 
8.8%
t 16546
 
7.8%
i 15574
 
7.3%
s 12662
 
5.9%
r 12495
 
5.9%
h 8973
 
4.2%
d 8629
 
4.0%
Other values (19) 55991
26.3%
Uppercase Letter
ValueCountFrequency (%)
S 2109
15.8%
J 1191
 
8.9%
C 1128
 
8.5%
T 997
 
7.5%
M 726
 
5.4%
I 722
 
5.4%
H 704
 
5.3%
K 666
 
5.0%
P 639
 
4.8%
G 613
 
4.6%
Other values (17) 3835
28.8%
Other Punctuation
ValueCountFrequency (%)
, 2639
49.3%
. 2438
45.6%
' 107
 
2.0%
: 57
 
1.1%
" 46
 
0.9%
& 32
 
0.6%
; 11
 
0.2%
/ 10
 
0.2%
? 7
 
0.1%
! 2
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 1645
24.4%
9 1139
16.9%
0 893
13.2%
2 674
10.0%
6 448
 
6.6%
8 440
 
6.5%
5 411
 
6.1%
3 376
 
5.6%
7 375
 
5.6%
4 342
 
5.1%
Close Punctuation
ValueCountFrequency (%)
) 414
99.3%
2
 
0.5%
] 1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 412
99.3%
2
 
0.5%
[ 1
 
0.2%
Math Symbol
ValueCountFrequency (%)
~ 47
74.6%
> 8
 
12.7%
< 8
 
12.7%
Other Symbol
ValueCountFrequency (%)
13
43.3%
9
30.0%
8
26.7%
Space Separator
ValueCountFrequency (%)
45153
> 99.9%
  1
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 1898
98.6%
26
 
1.4%
Final Punctuation
ValueCountFrequency (%)
349
92.3%
29
 
7.7%
Initial Punctuation
ValueCountFrequency (%)
59
66.3%
30
33.7%
Other Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 226626
78.9%
Common 60565
 
21.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 25441
 
11.2%
n 19209
 
8.5%
a 18919
 
8.3%
o 18857
 
8.3%
t 16546
 
7.3%
i 15574
 
6.9%
s 12662
 
5.6%
r 12495
 
5.5%
h 8973
 
4.0%
d 8629
 
3.8%
Other values (46) 69321
30.6%
Common
ValueCountFrequency (%)
45153
74.6%
, 2639
 
4.4%
. 2438
 
4.0%
- 1898
 
3.1%
1 1645
 
2.7%
9 1139
 
1.9%
0 893
 
1.5%
2 674
 
1.1%
6 448
 
0.7%
8 440
 
0.7%
Other values (32) 3198
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 286651
99.8%
Punctuation 493
 
0.2%
CJK Compat 30
 
< 0.1%
None 16
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
45153
15.8%
e 25441
 
8.9%
n 19209
 
6.7%
a 18919
 
6.6%
o 18857
 
6.6%
t 16546
 
5.8%
i 15574
 
5.4%
s 12662
 
4.4%
r 12495
 
4.4%
h 8973
 
3.1%
Other values (72) 92822
32.4%
Punctuation
ValueCountFrequency (%)
349
70.8%
59
 
12.0%
30
 
6.1%
29
 
5.9%
26
 
5.3%
CJK Compat
ValueCountFrequency (%)
13
43.3%
9
30.0%
8
26.7%
None
ValueCountFrequency (%)
6
37.5%
ç 3
18.8%
2
 
12.5%
2
 
12.5%
ū 1
 
6.2%
  1
 
6.2%
1
 
6.2%
Number Forms
ValueCountFrequency (%)
1
100.0%

역사정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)5.4%
Memory size6.4 KiB
Distinct365
Distinct (%)45.9%
Missing1
Missing (%)0.1%
Memory size6.4 KiB
2024-03-15T11:13:11.248948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length111
Median length95
Mean length21.974874
Min length10

Characters and Unicode

Total characters17492
Distinct characters71
Distinct categories10 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique220 ?
Unique (%)27.6%

Sample

1st rowRepublic of Korea/1963
2nd rowRepublic of Korea/2003
3rd rowJoseon/1860s
4th rowRepublic of Korea/2009
5th rowRepublic of Korea/1957(Opening), 1981(Re-opening)
ValueCountFrequency (%)
of 379
18.4%
republic 367
 
17.8%
japanese 88
 
4.3%
colonial 88
 
4.3%
joseon/unknown 60
 
2.9%
korean 52
 
2.5%
korea 40
 
1.9%
korea/2005 25
 
1.2%
korea/2000 20
 
1.0%
korea/1970 14
 
0.7%
Other values (431) 926
45.0%
2024-03-15T11:13:12.356482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 1768
 
10.1%
e 1608
 
9.2%
1278
 
7.3%
a 889
 
5.1%
n 886
 
5.1%
/ 794
 
4.5%
r 757
 
4.3%
i 704
 
4.0%
1 690
 
3.9%
l 610
 
3.5%
Other values (61) 7508
42.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10645
60.9%
Decimal Number 2853
 
16.3%
Uppercase Letter 1656
 
9.5%
Space Separator 1278
 
7.3%
Other Punctuation 857
 
4.9%
Open Punctuation 93
 
0.5%
Close Punctuation 93
 
0.5%
Math Symbol 9
 
0.1%
Dash Punctuation 6
 
< 0.1%
Final Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 1768
16.6%
e 1608
15.1%
a 889
8.4%
n 886
8.3%
r 757
 
7.1%
i 704
 
6.6%
l 610
 
5.7%
p 527
 
5.0%
s 456
 
4.3%
u 436
 
4.1%
Other values (15) 2004
18.8%
Uppercase Letter
ValueCountFrequency (%)
K 479
28.9%
R 383
23.1%
J 281
17.0%
C 106
 
6.4%
U 100
 
6.0%
P 90
 
5.4%
E 89
 
5.4%
G 28
 
1.7%
A 20
 
1.2%
D 19
 
1.1%
Other values (12) 61
 
3.7%
Decimal Number
ValueCountFrequency (%)
1 690
24.2%
9 582
20.4%
0 439
15.4%
2 214
 
7.5%
6 198
 
6.9%
8 177
 
6.2%
7 163
 
5.7%
5 149
 
5.2%
4 131
 
4.6%
3 110
 
3.9%
Other Punctuation
ValueCountFrequency (%)
/ 794
92.6%
' 20
 
2.3%
, 18
 
2.1%
" 11
 
1.3%
. 8
 
0.9%
: 4
 
0.5%
? 1
 
0.1%
& 1
 
0.1%
Space Separator
ValueCountFrequency (%)
1278
100.0%
Open Punctuation
ValueCountFrequency (%)
( 93
100.0%
Close Punctuation
ValueCountFrequency (%)
) 93
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Final Punctuation
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12301
70.3%
Common 5191
29.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 1768
14.4%
e 1608
13.1%
a 889
 
7.2%
n 886
 
7.2%
r 757
 
6.2%
i 704
 
5.7%
l 610
 
5.0%
p 527
 
4.3%
K 479
 
3.9%
s 456
 
3.7%
Other values (37) 3617
29.4%
Common
ValueCountFrequency (%)
1278
24.6%
/ 794
15.3%
1 690
13.3%
9 582
11.2%
0 439
 
8.5%
2 214
 
4.1%
6 198
 
3.8%
8 177
 
3.4%
7 163
 
3.1%
5 149
 
2.9%
Other values (14) 507
 
9.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17490
> 99.9%
Punctuation 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 1768
 
10.1%
e 1608
 
9.2%
1278
 
7.3%
a 889
 
5.1%
n 886
 
5.1%
/ 794
 
4.5%
r 757
 
4.3%
i 704
 
4.0%
1 690
 
3.9%
l 610
 
3.5%
Other values (60) 7506
42.9%
Punctuation
ValueCountFrequency (%)
2
100.0%
Distinct100
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
2024-03-15T11:13:13.127133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length106
Mean length64.303639
Min length10

Characters and Unicode

Total characters51250
Distinct characters70
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)5.4%

Sample

1st rowSites and facilities/Other additional facilities/Others
2nd rowSites and facilities/Parks/Urban parks(Natural parks, Citizens' parks, Children's parks)
3rd rowCulture/Structures/Old buildings, Government office construction
4th rowSites and facilities/Exhibition facilities/Others
5th rowSites and facilities/Exhibition facilities/Others
ValueCountFrequency (%)
and 752
 
14.4%
site 589
 
11.2%
sites 393
 
7.5%
remains 318
 
6.1%
culture/historic 171
 
3.3%
sites/temple 147
 
2.8%
paddy 147
 
2.8%
field 147
 
2.8%
original 147
 
2.8%
facilities/others 135
 
2.6%
Other values (373) 2291
43.7%
2024-03-15T11:13:14.505998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 5714
 
11.1%
e 4987
 
9.7%
4447
 
8.7%
t 4341
 
8.5%
s 4170
 
8.1%
a 3514
 
6.9%
r 2667
 
5.2%
n 2652
 
5.2%
l 2190
 
4.3%
d 1726
 
3.4%
Other values (60) 14842
29.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 40772
79.6%
Space Separator 4447
 
8.7%
Uppercase Letter 3194
 
6.2%
Other Punctuation 2394
 
4.7%
Decimal Number 152
 
0.3%
Open Punctuation 131
 
0.3%
Close Punctuation 131
 
0.3%
Dash Punctuation 28
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 5714
14.0%
e 4987
12.2%
t 4341
10.6%
s 4170
10.2%
a 3514
8.6%
r 2667
 
6.5%
n 2652
 
6.5%
l 2190
 
5.4%
d 1726
 
4.2%
c 1426
 
3.5%
Other values (16) 7385
18.1%
Uppercase Letter
ValueCountFrequency (%)
S 575
18.0%
O 570
17.8%
C 460
14.4%
P 344
10.8%
T 232
7.3%
H 209
 
6.5%
R 174
 
5.4%
E 103
 
3.2%
M 91
 
2.8%
N 83
 
2.6%
Other values (13) 353
11.1%
Decimal Number
ValueCountFrequency (%)
1 32
21.1%
0 28
18.4%
9 23
15.1%
2 17
11.2%
3 11
 
7.2%
7 10
 
6.6%
5 9
 
5.9%
8 9
 
5.9%
4 7
 
4.6%
6 6
 
3.9%
Other Punctuation
ValueCountFrequency (%)
/ 1564
65.3%
, 734
30.7%
' 59
 
2.5%
: 21
 
0.9%
. 9
 
0.4%
" 7
 
0.3%
Space Separator
ValueCountFrequency (%)
4447
100.0%
Open Punctuation
ValueCountFrequency (%)
( 131
100.0%
Close Punctuation
ValueCountFrequency (%)
) 131
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 43966
85.8%
Common 7284
 
14.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 5714
13.0%
e 4987
11.3%
t 4341
9.9%
s 4170
 
9.5%
a 3514
 
8.0%
r 2667
 
6.1%
n 2652
 
6.0%
l 2190
 
5.0%
d 1726
 
3.9%
c 1426
 
3.2%
Other values (39) 10579
24.1%
Common
ValueCountFrequency (%)
4447
61.1%
/ 1564
 
21.5%
, 734
 
10.1%
( 131
 
1.8%
) 131
 
1.8%
' 59
 
0.8%
1 32
 
0.4%
- 28
 
0.4%
0 28
 
0.4%
9 23
 
0.3%
Other values (11) 107
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 51250
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i 5714
 
11.1%
e 4987
 
9.7%
4447
 
8.7%
t 4341
 
8.5%
s 4170
 
8.1%
a 3514
 
6.9%
r 2667
 
5.2%
n 2652
 
5.2%
l 2190
 
4.3%
d 1726
 
3.4%
Other values (60) 14842
29.0%

시작일(발생일)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9
Missing (%)1.1%
Memory size6.4 KiB

인물
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing773
Missing (%)97.0%
Memory size6.4 KiB

제공기관
Unsupported

REJECTED  UNSUPPORTED 

Missing5
Missing (%)0.6%
Memory size6.4 KiB

언어유형
Unsupported

REJECTED  UNSUPPORTED 

Missing7
Missing (%)0.9%
Memory size6.4 KiB

제작일
Unsupported

REJECTED  UNSUPPORTED 

Missing4
Missing (%)0.5%
Memory size6.4 KiB

유형
Unsupported

REJECTED  UNSUPPORTED 

Missing1
Missing (%)0.1%
Memory size6.4 KiB

형식
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size6.4 KiB

등록일
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size6.4 KiB

Unnamed: 21
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing779
Missing (%)97.7%
Memory size6.4 KiB

Unnamed: 22
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing785
Missing (%)98.5%
Memory size6.4 KiB

Unnamed: 23
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing791
Missing (%)99.2%
Memory size6.4 KiB

Unnamed: 24
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing795
Missing (%)99.7%
Memory size6.4 KiB

Unnamed: 25
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
<NA>
796 
42368
 
1

Length

Max length5
Median length4
Mean length4.0012547
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 796
99.9%
42368 1
 
0.1%

Length

2024-03-15T11:13:14.922385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T11:13:15.118759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 796
99.9%
42368 1
 
0.1%

Unnamed: 26
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing796
Missing (%)99.9%
Memory size6.4 KiB
2024-03-15T11:13:15.314783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters4
Distinct characters3
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 rowDATA
ValueCountFrequency (%)
data 1
100.0%
2024-03-15T11:13:15.824639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
A 2
50.0%
D 1
25.0%
T 1
25.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 4
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 2
50.0%
D 1
25.0%
T 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 2
50.0%
D 1
25.0%
T 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
A 2
50.0%
D 1
25.0%
T 1
25.0%

Unnamed: 27
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing796
Missing (%)99.9%
Memory size6.4 KiB
2024-03-15T11:13:16.174197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters4
Distinct characters4
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 rowHTML
ValueCountFrequency (%)
html 1
100.0%
2024-03-15T11:13:16.986485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
H 1
25.0%
T 1
25.0%
M 1
25.0%
L 1
25.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 4
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
H 1
25.0%
T 1
25.0%
M 1
25.0%
L 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
H 1
25.0%
T 1
25.0%
M 1
25.0%
L 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
H 1
25.0%
T 1
25.0%
M 1
25.0%
L 1
25.0%

Unnamed: 28
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing796
Missing (%)99.9%
Memory size6.4 KiB
Minimum2016-02-03 15:41:32
Maximum2016-02-03 15:41:32
2024-03-15T11:13:17.343882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:13:17.648167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

관리번호명칭관련항목연계자원경도정보(127.XX)위도정보(36.XXX)이명칭지역도로명주소개요역사정보시대분류주제분류시작일(발생일)인물제공기관언어유형제작일유형형식등록일Unnamed: 21Unnamed: 22Unnamed: 23Unnamed: 24Unnamed: 25Unnamed: 26Unnamed: 27Unnamed: 28
0JGH_000028Dongguk University Hyehwagwan Building<NA><NA>127.00018737.558258Former Jungang Civil Servant Training CenterPil-dong 3-ga, Jung-gu, Seoul30, Pildong-ro 1-gil, Jung-gu, Seoul (26, Pil-dong 3-ga)Dongguk University Hyehwagwan Building was occupied by the College of Bio-System and Foreign Language Education Center and was built in 1963 as the government owned and run Jungang Civil Servant Training Center. In 1970 Jogye Order of Korean Buddhism purchased the building and was renamed Hyehwagwan Building of Dongguk University. The building still belongs to Dongguk University ever since Jungang Civil Servant Training Center moved to Daejeon on May 1974.1963 Jungang Civil Servant Training Center is built 1970 Jogye Order of Korean Buddhism purchases the lot 1974 Jungang Civil Servant Training Center moves to Daejeon, building used by Dongguk University 2015 Bio-system University moves to Dongguk University Ilsan CampusRepublic of Korea/1963Sites and facilities/Other additional facilities/Others1963NaNJung-gu Office SeoulENG42368DATAHTML2016-02-03 15:41:31NaNNaNNaNNaN<NA><NA><NA>NaT
1JGH_000479Eungbong Park<NA><NA>127.02176637.557242<NA>Sindang-dong, Jung-gu, Seoul1-72, Sindang-dong, Jung-gu, SeoulEungbong Park is a downtown park constructed by Jung-gu Office around Eungbongsan mountain in a dense residential area being surrounded by large apartment complexes, such as Yaksu Heights Apartment, Sindang Hyundai Apartment, and Hyundai Apartment.2003: Opened the parkRepublic of Korea/2003Sites and facilities/Parks/Urban parks(Natural parks, Citizens' parks, Children's parks)2003NaNJung-gu Office SeoulENG42368DATAHTML2016-02-03 15:41:31NaNNaNNaNNaN<NA><NA><NA>NaT
2JGH_000006The House of Yi Seung-eop in Samgak-dongJGH_000010<NA>126.99356137.558455Chohung Bank Management HouseToegye-ro, Jung-gu, Seoul28, Toegye-ro 34-gil, Jung-gu, Seoul (84-1 Pil-dong 2-ga)This middle-class house in Samgak-dong was built in the 1860s by Yi Seung-eop, who served as the head carpenter in the restoration of Gyeongbokgung Palace conducted in 1867. In 1970, it became Chohung Bank Management House, which served as its archives, while in 1998, along with the relocation to Namsangol Hanok Village, it was opened to the public under its current name. Boasting excellent construction techniques and decorative features, the house is considered an important structure that exhibits the typical features of middle-class dwellings of the late Joseon period.1860’s Construction 1970 Chohung Bank Management House (Chohung Bank’s Archives) 1977 Designation as Seoul City Folklore Cultural Heritage No. 20 1998 Relocated to Namsangol Hanok Village and opened to the publicJoseon/1860sCulture/Structures/Old buildings, Government office construction1860sNaNJung-gu Office SeoulENG42368DATAHTML2016-02-03 15:41:30NaNNaNNaNNaN<NA><NA><NA>NaT
3JGH_000483Seoul Art Space Sindang<NA><NA>127.01964537.567441<NA>Majang-ro, Jung-gu, SeoulSindang Underground Shopping Center, 87, Majang-ro, Jung-gu, Seoul (117, Hwanghak-dong)Seoul Art Space Sindang consists of crafts-centered creativity workshops which were opened after remodeling 52 empty stores within Sindang Basement Shopping Center. Seoul Cultural Foundation is in charge of the management and operation of the arcade.2009: Opened Seoul Art Space Sindang by remodeling 52 empty stores within Sindang Underground Shopping CenterRepublic of Korea/2009Sites and facilities/Exhibition facilities/Others2009NaNJung-gu Office SeoulENG42368DATAHTML2016-02-03 15:41:31NaNNaNNaNNaN<NA><NA><NA>NaT
4JGH_000001Korea HouseJGH_000432<NA>126.99454637.560197<NA>Toegye-ro, Jung-gu, Seoul10, Toegye-ro 34-gil, Jung-gu, Seoul (80-2 Pil-dong 2-ga)Currently run by the Korea Cultural Heritage Foundation, Korea House was originally established as a cultural complex with the aim of introducing Korea’s traditional lifestyle and culture to the general public, and as a traditional cultural experience space. It was opened by the Public Affairs Office in 1957, and renovated and reopened in the style of a traditional Korean structure modelled on Jagyeongjeon Hall of Gyeongbokgung Palace in 1981. Its major buildings include Haeringwan, Munhyangru, Nokeumjeong, and Cheongujeong.1957 Foundation of KH by the presidential Public Affairs Office 1980 Renovation of KH 1981 Reopening of KH by the Korea Cultural Heritage Foundation 1982 Holding of traditional weddings started 1986 Capacity of the Folk Theater expanded from 100 to 195 seats 1988 Completion of Cheonujeong and Nokeumjeong buildings 2000 Traditional arts performances attracted more than 1 million spectators. 2003 Winner of an award in the 'Organization' category at the 2003 People Making Beautiful Korea" 2004 Repair of Folk Theater 2009 Remodeling of Folk Theater (156 seats) 2009 Reopening of Chwiseongwan after extension work 2012 Traditional arts performances attracted more than 1.5 million spectators."Republic of Korea/1957(Opening), 1981(Re-opening)Sites and facilities/Exhibition facilities/Others1957NaNJung-gu Office SeoulENG42368DATAHTML2016-02-03 15:41:30NaNNaNNaNNaN<NA><NA><NA>NaT
5JGH_000002Kim Chun-yeong’s House in Samcheong-dongJGH_000010<NA>126.99356137.558455Kim Hong-gi’s House in Samcheong-dongToegye-ro, Jung-gu, Seoul28, Toegye-ro 34-gil, Jung-gu, Seoul (84-1 Pil-dong 2-ga)This house in Samcheong-dong, Jongno-gu was built in the 1890s by Kim Chun-yeong, a military commander (owijang) during the reign of King Gojong of the Joseon Dynasty. It was restored and relocated to Namsangol Hanok Village in 1996. (Built on a small plot of land), the house consists of the Anchae (women’s quarters) and Sarangchae (men’s quarters), and exhibits the typical appearance and atmosphere of traditional houses in Seoul in the Joseon period.1890s: Construction 1977: Designation as Seoul Folklore Cultural Heritage No. 8 1996: Restoration and relocation to the Namsangol Hanok Village 1998: Opened to the publicJoseon/1890sCulture/Structures/Old buildings, Government office construction1890sNaNJung-gu Office SeoulENG42368DATAHTML2016-02-03 15:41:30NaNNaNNaNNaN<NA><NA><NA>NaT
6JGH_000003Shrine for Yun Taek-yeong in Jegi-dongJGH_000010<NA>126.99356137.558455<NA>Toegye-ro, Jung-gu, Seoul28, Toegye-ro 34-gil, Jung-gu, Seoul (84-1 Pil-dong 2-ga)This shrine was built by Yun Taek-yeong (Haepung Buwongun), a father-in-law of King Sunjong of the Joseon Dynasty, in Jegi-dong around 1907. It was originally situated at 224, Jegi-dong, Seoul, but was relocated to Namsangol Hanok Village in 1996. The Shrine was designated as Seoul Folklore Cultural Heritage No. 24 on September 5, 1977.1907 Construction 1977 Designation as Seoul Folklore Cultural Heritage No. 24 1996 Restoration and relocation to Namsangol Hanok Village in 1996Korean Empire/Around 1907Culture/Structures/Old buildings, Government office constructionAround 1907NaNJung-gu Office SeoulENG42368DATAHTML2016-02-03 15:41:30NaNNaNNaNNaN<NA><NA><NA>NaT
7JGH_000005House of the Min Clan in Gwanhun-dongJGH_000010<NA>126.99356137.558455The House of Yi Jin-seung, and the House of Park Yeong-hyo in Gwanhun-dongToegye-ro, Jung-gu, Seoul28, Toegye-ro 34-gil, Jung-gu, Seoul (84-1 Pil-dong 2-ga)This traditional house belonging to Min Yeong-hui (1852-1935), a high-ranking official of the Korean Empire, was originally located in Gwanhun-dong, but was relocated to Namsangol Hanok Village. The original house included six wooden buildings with tiled roofs, and a two-story western-style building consisting of Anchae (women’s quarters), Sarangchae (men’s quarters), Byeoldangchae (detached quarters), Daemunganchae (gate quarters), and Haengnangchae (servants’ quarters). However, only a part of the house, including the Anchae and Sarangchae, now remains. The house displays the typical appearance in terms of scale and structure of upper-class houses built in Seoul during the late Joseon Period.1870’s Construction 1890’s Purchase by Min Yeong-hui 1977 Designation as Seoul City Folklore Cultural Heritage No. 18 (under the title of The House of Yi Jin-seong in Gwanhun-dong) 1998 Relocated to Namsangol Hanok Village and opened to the public, with the title of The House of Park Yeong-hyo 2010 Title changed to current oneJoseon/1870sCulture/Structures/Old buildings, Government office construction1870sNaNJung-gu Office SeoulENG42368DATAHTML2016-02-03 15:41:30NaNNaNNaNNaN<NA><NA><NA>NaT
8JGH_000025Manhae Hall, Dongguk University<NA><NA>127.00018737.558258Former Faculty House, Dongguk UniversityJangchung-dong 2-ga, Jung-gu, Seoul30, Pildong-ro 1-gil (192-5, Jangchung-dong 2-ga), Jung-gu, SeoulManhae Hall of Dongguk University is connected to the former Central Library completed in 1962 and had been used as Faculty House. In 2003, Dongguk University constructed a new building next to the main building across from the former Central Library and moved the Central Library. During the remodeling of the Central Library in 2005, Dongguk University constructed Manhae Hall by connecting it with the Faculty House beside it. Later, the former Central Library was changed to Law Building and the former Faculty House, Manhae Hall while preparing the law school.1962 Completed Dongguk University Central Library 2005 Completed Manhae HallRepublic of Korea/1960'sSites and facilities/Other additional facilities/Others1960'sNaNJung-gu Office SeoulENG42368DATAHTML2016-02-03 15:41:30NaNNaNNaNNaN<NA><NA><NA>NaT
9JGH_000027Former Central Library, Dongguk University<NA><NA>127.00018737.558258Current Law Building, Dongguk UniversityPil-dong 3-ga, Jung-gu, Seoul30, Pildong-ro 1-gil (26, Pil-dong 3-ga), Jung-gu, SeoulFormer Central Library of Dongguk University is a “T” shaped 4-story building with a basement, and it was designed by Song Min-gu and completed in 1962. In 2002, Dongguk University constructed a new building next to the main building across from the former Central Library and moved the Central Library in the following year. In 2005, the former Central Library building was remodeled and connected the building to the adjacent Faculty House to complete Manhae Hall. Currently the former Central Library building is used as the Law Building.1962 Completed 2005 Completed Manhae HallRepublic of Korea/1962Sites and facilities/Exhibition facilities/Libraries1962NaNJung-gu Office SeoulENG42368DATAHTML2016-02-03 15:41:30NaNNaNNaNNaN<NA><NA><NA>NaT
관리번호명칭관련항목연계자원경도정보(127.XX)위도정보(36.XXX)이명칭지역도로명주소개요역사정보시대분류주제분류시작일(발생일)인물제공기관언어유형제작일유형형식등록일Unnamed: 21Unnamed: 22Unnamed: 23Unnamed: 24Unnamed: 25Unnamed: 26Unnamed: 27Unnamed: 28
787JGH_000639Tourist Information Center<NA><NA>126.98160437.568535<NA>Cheonggyecheon-ro, Jung-gu, Seoul1BF, KTO, 40, Cheonggyecheon-ro, Jung-gu, Seoul (10, Da-dong)In 1962, the Tourist Information Center, located on the first floor of the Korea Tourism Organization Building, was opened to provide tourist information and attract more foreign tourists to Korea. It provides a wide range of tourist information and contents and holds a variety of cultural events in many different languages.1962: Founded the Korea Tourism Organization and opened the Tourist Information CenterRepublic of Korea/1962Sites and facilities/Exhibition facilities/Exhibition halls(places)1962NaNJung-gu Office SeoulENG42368DATAHTML2016-02-03 15:41:31NaNNaNNaNNaN<NA><NA><NA>NaT
788JGH_000416Millennium Seoul Hilton<NA><NA>126.97550637.555473Hilton HotelNamdaemun-ro 5-ga, Jung-gu, Seoul50, Sowol-ro, Jung-gu, Seoul (395, Namdaemun-ro 5-ga)Millennium Seoul Hilton is a five star hotel on 50 Sowol-ro, Jung-gu, Seoul that was built in 1977 by Dongwoo Development and Hilton International. The two entities had signed a hotel consign management agreement. Situated at the heart of Seoul, Korea’s capital, the hotel guarantees access to all business, shopping, and entertainment needs.1977 Hotel construction goes into preparation 1979 Hotel construction begins 1983 Seoul Hilton is open 1995 Company renamed Daewoo Development 1999 Acquired by CDL Hotel KoreaRepublic of Korea/1977Sites and facilities/Accommodation, meals/Hotels1977NaNJung-gu Office SeoulENG42368DATAHTML2016-02-03 15:41:31NaNNaNNaNNaN<NA><NA><NA>NaT
789JGH_000590Geumho Girls’ Middle School<NA><NA>127.0204937.558047<NA>Donghwa-dong, Jung-gu, SeoulJung-gu, SeoulGeumho Girls’ Middle School is a public middle school for girls on 6, Cheonggu-ro, Jung-gu that was issued a permit on August 1968. The school opened on March 1969 with facilities for 12 classes. The school motto is ‘wisely, fruitfully, and beautifully’ as the curriculum focuses on honing philanthropic individuals with creative skills. Geumho Girls’ Middle School can be noted for its ‘free learning semester’ curriculum that only applies to research schools. The school tree is gingko while the school flower is forsythia.1968 Acquired permit to build school with 10 classes 1968 First principle Jeong Heon-gap is appointed 1969 School opens, accepting 12 classes worth of students 2011 Citation for traditional food program, extracurricular programs, educational welfare, and student-run programs from the Superintendent 2012 Citation for excellent contribution to education and sports activities from the Superintendent 2013 Citation for outstanding education for parents from the Superintendent 2014 Citation for good book programs, excellent administration of school curriculum from the SuperintendentRepublic of Korea/1969Sites and facilities/Other additional facilities/Others1969NaNJung-gu Office SeoulENG42368DATAHTML2016-02-03 15:41:31NaNNaNNaNNaN<NA><NA><NA>NaT
790JGH_000681Chungjeongsa Temple of Namsangol ParkJGH_000010,JGH_000431<NA>126.99291637.559767<NA>Toegye-ro, Jung-gu, Seoul26, Toegye-ro 34-gil, Jung-gu, Seoul (84-137, Pil-dong 2-ga)On July 25, 1980, Roh Tae-woo, the eighth Commander of the time, commenced construction of Namsan Chungjeongsa Temple in Namsangol Park, in order to wish the prosperity of the nation and use the temple as a place for emotional development of military personnel. On December 29 of the same year, the construction of the temple was completed while the ninth Commander Park Seh-jik in office.1980: Constructed Chungjeongsa Temple of Mongmyeoksan Mountain 1995: Moved near Namsan Hanok VillageRepublic of Korea/1980Culture/Structures/Remains of temples1980NaNJung-gu Office SeoulENG42368DATAHTML2016-02-03 15:41:31NaNNaNNaNNaN<NA><NA><NA>NaT
791JGH_000425Site of Namji Pond<NA><NA>126.97402537.559555<NA>Bongnae-dong 1-ga, Jung-gu, Seoul27, Sejong-daero, Jung-gu, Seoul (104, Bongnae-dong 1-ga)Namji Pond was a large body of water just south of Sungnyemun Gate in Jung-gu, Seoul. Namji means ‘south of Seoul.’ Well known for the lotus flowers that grew in the pond, it was also called Yeonji (Lotus Pond). The site is located on 46, Chilpae-ro, Jung-gu, Seoul.1927 Bronze dragon head turtle figurine is found at the site of Namji Pond during a building constructionJoseon/UnknownCulture/Historic remains and sites/Temple site, Paddy and field site, Remains site, Original siteUnknownNaNJung-gu Office SeoulENG42368DATAHTML2016-02-03 15:41:31NaNNaNNaNNaN<NA><NA><NA>NaT
792JGH_000600Gyeonggi Girls' Commercial High School<NA><NA>126.96699837.557078<NA>Mallijae-ro, Jung-gu, Seoul30, Mallijae-ro 37-gil, Jung-gu, Seoul (54 Malli-dong 1-ga)Gyeonggi Girls' Commercial High School is a girls' private vocational high school located in Mallijae-ro, Jung-gu, Seoul. It was founded as Seoul Girls' Commercial School in 1972 and renamed as Gyeonggi Girls' Commercial High School in 1992. With the goal of becoming a leading high school specialized in health care, the school aims to foster health care professionals.1971: Approved to establish Gyeongheung School 1972: Approved to establish Seoul Girls' Commercial School 1974: Approved to change the corporate status of Gyeongheung School to an educational foundation 1992: Renamed as Gyeonggi Girls' Commercial High School and approved to install 20 classes 1994: Approved to install 24 classes 2007: Received a citation for exemplary school administration 2010: Approved to reorganize its departments (two health care business classes, two health nursing classes, and one dental hygienic class) and selected as a high school specialized in health care education subject to the financial support of the Office of EducationRepublic of Korea /1972Sites and facilities/Other additional facilities/Others1972NaNJung-gu Office SeoulENG42368DATAHTML2016-02-03 15:41:31NaNNaNNaNNaN<NA><NA><NA>NaT
793JGH_000702Dongpyeonghwa MarketJGH_000700,JGH_000701,JGH_000703<NA>127.01381437.569352Dongpyeonghwa Fashion TownCheonggyecheon-ro, Jung-gu, Seoul318, Cheonggyecheon-ro, Jung-gu, Seoul (217-92, Sindang-dong)Dongpyeonghwa Market, located in Sindang-dong, Jung-gu, Seoul, is a fashion mall opened in 1975. Most of its stores handle middle-aged clothing.1975: Opened Dongpyeonghwa MarketRepublic of Korea/1975Sites and facilities/Shopping/Markets(Traditional, Medicine markets, etc)1975NaNJung-gu Office SeoulENG42368DATAHTML2016-02-03 15:41:31NaNNaNNaNNaN<NA><NA><NA>NaT
794JGH_000704U:US<NA><NA>127.01209537.567281<NA>Majang-ro, Jung-gu, Seoul22, Majang-ro, Jung-gu, Seoul (251-7, Sindang-dong)U:US is a clothing wholesale market located in Sindang-dong, Jung-gu, Seoul. In this five-story building, 370 stores are located on the first, second, and third floors. The stores supply a wide range of clothes and fashion items aiming at young generation in their 10s to early 30s.2005: Registered the opening of the stores 2006: Extended the Dongdaemun Stadium parking site and opened U:US 2016: Permission of use to be expiredRepublic of Korea/2006Sites and facilities/Shopping/Others2006NaNJung-gu Office SeoulENG42368DATAHTML2016-02-03 15:41:31NaNNaNNaNNaN<NA><NA><NA>NaT
795JGH_000429Site of Yi Hang-bok’s House (Pirundae)JGH_001062,JGH_000423,JGH_000099<NA>126.96628737.578311<NA>Pirundae-ro, Jongno-gu, Seoul34, Pirundae-ro 1-gil, Jongno-gu, Seoul (1-2, Pirun-dong)Yi Hang-bok was a renowned scholar and a civil official of the Joseon period. The former site of his house remains behind Paiwha Girls’ High School in Pirun-dong, Jongno-gu, Seoul. A large rock on the site has an inscription of “Pirundae.” Pirundae was famous for its beautiful landscape in spring, and attracted a lot of literati to enjoy composing poems together.1889 – Yi Yu-won carved a poem on a rock on the site. 2000 – The Site of Yi Hang-bok’s House was designated as Seoul Cultural Heritage Material No. 9.Joseon/UnknownCulture/Personage/Birthplaces(remains)UnknownNaNJung-gu Office SeoulENG42368DATAHTML2016-02-03 15:41:31NaNNaNNaNNaN<NA><NA><NA>NaT
796JGH_000601Bongrae Elementary School<NA><NA>126.96411137.556561<NA>Songijeong-ro, Jung-gu, Seoul73, Songijeong-ro, Jung-gu, Seoul (2, Malli-dong 2-ga)Bongrae Elementary School is a public elementary school located in Songijeong-ro, Jung-gu, Seoul. On September 18, 1895, it was founded as Jeongdong Public Primary School with 76 students. The school aims to foster upstanding and competent children who enjoy studying and their life.1895: Founded as Jeongdong Public Primary School 1906: Changed its name to Jeongdong Public Regular School 1910: Renamed as Jeongdong Public Regular School 1937: Moved to new buildings in Malli-dong 1938: Changed the name to Gyeongseong Bongrae Public Primary School 1941: Changed the name to Gyeongseong Bongrae Primary School 1995: Published 100-Year History of Bongrae" in commemoration of its 100th anniversary 1996: Renamed as Seoul Bongrae Elementary School 2004: Opened Bongrae History Museum"Joseon/1895Sites and facilities/Other additional facilities/Others1895NaNJung-gu Office SeoulENG42368DATAHTML2016-02-03 15:41:31NaNNaNNaNNaN<NA><NA><NA>NaT