Overview

Dataset statistics

Number of variables15
Number of observations1526
Missing cells3343
Missing cells (%)14.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory184.9 KiB
Average record size in memory124.1 B

Variable types

Categorical6
Text5
Unsupported1
Numeric3

Dataset

Description우리민족 근대사 관련 사적지 탐방 통합리스트
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=LS5P9TFPGDLI8DVP4HEV31039321&infSeq=1

Alerts

국가 has constant value ""Constant
수정일 has constant value ""Constant
우편번호 is highly overall correlated with WGS84위도 and 1 other fieldsHigh correlation
WGS84위도 is highly overall correlated with 우편번호 and 1 other fieldsHigh correlation
WGS84경도 is highly overall correlated with 시군명High correlation
시군명 is highly overall correlated with 우편번호 and 2 other fieldsHigh correlation
단체분류 is highly imbalanced (68.7%)Imbalance
사적사진링크 has 177 (11.6%) missing valuesMissing
이전위치 has 1526 (100.0%) missing valuesMissing
도로명주소 has 963 (63.1%) missing valuesMissing
우편번호 has 235 (15.4%) missing valuesMissing
WGS84위도 has 221 (14.5%) missing valuesMissing
WGS84경도 has 221 (14.5%) missing valuesMissing
이전위치 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 21:40:47.494165
Analysis finished2023-12-10 21:40:50.768760
Duration3.27 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
양평군
126 
파주시
126 
용인시
124 
포천시
 
85
연천군
 
78
Other values (26)
987 

Length

Max length4
Median length3
Mean length3.0773263
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
양평군 126
 
8.3%
파주시 126
 
8.3%
용인시 124
 
8.1%
포천시 85
 
5.6%
연천군 78
 
5.1%
광주시 77
 
5.0%
김포시 76
 
5.0%
화성시 75
 
4.9%
남양주시 71
 
4.7%
안성시 66
 
4.3%
Other values (21) 622
40.8%

Length

2023-12-11T06:40:50.832461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
양평군 126
 
8.3%
파주시 126
 
8.3%
용인시 124
 
8.1%
포천시 85
 
5.6%
연천군 78
 
5.1%
광주시 77
 
5.0%
김포시 76
 
5.0%
화성시 75
 
4.9%
남양주시 71
 
4.7%
안성시 66
 
4.3%
Other values (21) 622
40.8%

사적지명
Text

Distinct1309
Distinct (%)85.8%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
2023-12-11T06:40:51.129405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length26
Mean length12.2654
Min length3

Characters and Unicode

Total characters18717
Distinct characters491
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1242 ?
Unique (%)81.4%

Sample

1st row해공 신익희선생 생가, 어록비군
2nd row무갑사 6.25전사자 유해발굴 지역
3rd row대한독립단장 조맹선호국기념비
4th row애국지사 조창선 영모기념비
5th row애국지사 조천일 공적기념비
ValueCountFrequency (%)
애국지사 281
 
7.0%
묘 218
 
5.5%
안내판 171
 
4.3%
추모비 105
 
2.6%
평화의 105
 
2.6%
소녀상 87
 
2.2%
3.1운동 62
 
1.6%
표지석 55
 
1.4%
작은 48
 
1.2%
동상 39
 
1.0%
Other values (1760) 2829
70.7%
2023-12-11T06:40:51.604557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2474
 
13.2%
지 630
 
3.4%
비 587
 
3.1%
사 558
 
3.0%
의 493
 
2.6%
국 409
 
2.2%
동 333
 
1.8%
기 311
 
1.7%
애 296
 
1.6%
전 279
 
1.5%
Other values (481) 12347
66.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14951
79.9%
Space Separator 2474
 
13.2%
Decimal Number 721
 
3.9%
Other Punctuation 306
 
1.6%
Close Punctuation 107
 
0.6%
Open Punctuation 107
 
0.6%
Uppercase Letter 25
 
0.1%
Lowercase Letter 17
 
0.1%
Dash Punctuation 5
 
< 0.1%
Initial Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 630
 
4.2%
비 587
 
3.9%
사 558
 
3.7%
의 493
 
3.3%
국 409
 
2.7%
동 333
 
2.2%
기 311
 
2.1%
애 296
 
2.0%
전 279
 
1.9%
묘 260
 
1.7%
Other values (435) 10795
72.2%
Uppercase Letter
ValueCountFrequency (%)
U 4
16.0%
N 4
16.0%
O 2
 
8.0%
P 2
 
8.0%
M 2
 
8.0%
T 2
 
8.0%
F 1
 
4.0%
L 1
 
4.0%
S 1
 
4.0%
A 1
 
4.0%
Other values (5) 5
20.0%
Decimal Number
ValueCountFrequency (%)
1 188
26.1%
3 174
24.1%
2 112
15.5%
6 98
13.6%
5 94
13.0%
0 19
 
2.6%
8 15
 
2.1%
4 11
 
1.5%
7 6
 
0.8%
9 4
 
0.6%
Lowercase Letter
ValueCountFrequency (%)
e 4
23.5%
l 3
17.6%
a 3
17.6%
n 2
11.8%
r 1
 
5.9%
m 1
 
5.9%
u 1
 
5.9%
y 1
 
5.9%
o 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
. 241
78.8%
, 48
 
15.7%
' 16
 
5.2%
/ 1
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 105
98.1%
] 2
 
1.9%
Open Punctuation
ValueCountFrequency (%)
( 105
98.1%
[ 2
 
1.9%
Space Separator
ValueCountFrequency (%)
2474
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 2
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14874
79.5%
Common 3724
 
19.9%
Han 77
 
0.4%
Latin 42
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 630
 
4.2%
비 587
 
3.9%
사 558
 
3.8%
의 493
 
3.3%
국 409
 
2.7%
동 333
 
2.2%
기 311
 
2.1%
애 296
 
2.0%
전 279
 
1.9%
묘 260
 
1.7%
Other values (396) 10718
72.1%
Han
ValueCountFrequency (%)
故 15
19.5%
金 10
 
13.0%
權 4
 
5.2%
九 4
 
5.2%
炯 2
 
2.6%
張 2
 
2.6%
瑾 2
 
2.6%
柳 2
 
2.6%
赫 2
 
2.6%
李 2
 
2.6%
Other values (29) 32
41.6%
Latin
ValueCountFrequency (%)
U 4
 
9.5%
N 4
 
9.5%
e 4
 
9.5%
l 3
 
7.1%
a 3
 
7.1%
O 2
 
4.8%
n 2
 
4.8%
P 2
 
4.8%
M 2
 
4.8%
T 2
 
4.8%
Other values (14) 14
33.3%
Common
ValueCountFrequency (%)
2474
66.4%
. 241
 
6.5%
1 188
 
5.0%
3 174
 
4.7%
2 112
 
3.0%
) 105
 
2.8%
( 105
 
2.8%
6 98
 
2.6%
5 94
 
2.5%
, 48
 
1.3%
Other values (12) 85
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14874
79.5%
ASCII 3762
 
20.1%
CJK 71
 
0.4%
CJK Compat Ideographs 6
 
< 0.1%
Punctuation 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2474
65.8%
. 241
 
6.4%
1 188
 
5.0%
3 174
 
4.6%
2 112
 
3.0%
) 105
 
2.8%
( 105
 
2.8%
6 98
 
2.6%
5 94
 
2.5%
, 48
 
1.3%
Other values (34) 123
 
3.3%
Hangul
ValueCountFrequency (%)
지 630
 
4.2%
비 587
 
3.9%
사 558
 
3.8%
의 493
 
3.3%
국 409
 
2.7%
동 333
 
2.2%
기 311
 
2.1%
애 296
 
2.0%
전 279
 
1.9%
묘 260
 
1.7%
Other values (396) 10718
72.1%
CJK
ValueCountFrequency (%)
故 15
21.1%
金 10
 
14.1%
權 4
 
5.6%
九 4
 
5.6%
炯 2
 
2.8%
張 2
 
2.8%
瑾 2
 
2.8%
赫 2
 
2.8%
憘 2
 
2.8%
秉 2
 
2.8%
Other values (25) 26
36.6%
CJK Compat Ideographs
ValueCountFrequency (%)
柳 2
33.3%
李 2
33.3%
來 1
16.7%
呂 1
16.7%
Punctuation
ValueCountFrequency (%)
‘ 2
50.0%
’ 2
50.0%

위치
Text

Distinct1521
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
2023-12-11T06:40:51.935438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length507
Median length117
Mean length28.227392
Min length3

Characters and Unicode

Total characters43075
Distinct characters754
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1519 ?
Unique (%)99.5%

Sample

1st row해공선생 생가, 어록비군[신익희]
2nd row마을회관앞 무갑산 6.25전사자 유해발굴 기념지역 안내판
3rd row한양조씨 조영무묘 입구 대한독립단장 의사 원석 [조맹선]호국기념비
4th row한양조씨 조영무묘 입구 애국지사 한양조공 창선 영모기념비[조창선]
5th row한양조씨 조영무묘 입구 애국지사 한양조공 천일 공적기념비[조천일]
ValueCountFrequency (%)
내 302
 
3.5%
애국지사 260
 
3.0%
묘 199
 
2.3%
안내판 185
 
2.2%
128
 
1.5%
평화의 111
 
1.3%
추모비 103
 
1.2%
앞 90
 
1.1%
소녀상 88
 
1.0%
3.1운동 88
 
1.0%
Other values (4096) 7001
81.8%
2023-12-11T06:40:52.427580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7029
 
16.3%
사 818
 
1.9%
지 795
 
1.8%
[ 688
 
1.6%
] 688
 
1.6%
, 664
 
1.5%
비 655
 
1.5%
의 633
 
1.5%
내 599
 
1.4%
공 591
 
1.4%
Other values (744) 29915
69.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31154
72.3%
Space Separator 7029
 
16.3%
Decimal Number 1290
 
3.0%
Other Punctuation 1166
 
2.7%
Close Punctuation 1133
 
2.6%
Open Punctuation 1126
 
2.6%
Lowercase Letter 66
 
0.2%
Uppercase Letter 55
 
0.1%
Dash Punctuation 44
 
0.1%
Math Symbol 8
 
< 0.1%
Other values (2) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 818
 
2.6%
지 795
 
2.6%
비 655
 
2.1%
의 633
 
2.0%
내 599
 
1.9%
공 591
 
1.9%
동 577
 
1.9%
원 563
 
1.8%
기 531
 
1.7%
전 466
 
1.5%
Other values (686) 24926
80.0%
Uppercase Letter
ValueCountFrequency (%)
P 7
12.7%
O 6
10.9%
U 5
 
9.1%
A 5
 
9.1%
N 4
 
7.3%
C 4
 
7.3%
M 3
 
5.5%
B 3
 
5.5%
S 3
 
5.5%
Z 2
 
3.6%
Other values (8) 13
23.6%
Lowercase Letter
ValueCountFrequency (%)
a 12
18.2%
m 11
16.7%
l 9
13.6%
e 9
13.6%
d 5
7.6%
r 4
 
6.1%
o 4
 
6.1%
y 4
 
6.1%
n 2
 
3.0%
f 2
 
3.0%
Other values (4) 4
 
6.1%
Decimal Number
ValueCountFrequency (%)
1 327
25.3%
3 269
20.9%
2 204
15.8%
6 154
11.9%
5 154
11.9%
0 62
 
4.8%
8 34
 
2.6%
4 30
 
2.3%
9 30
 
2.3%
7 26
 
2.0%
Other Punctuation
ValueCountFrequency (%)
, 664
56.9%
. 325
27.9%
: 120
 
10.3%
' 52
 
4.5%
? 3
 
0.3%
/ 2
 
0.2%
Open Punctuation
ValueCountFrequency (%)
[ 688
61.1%
( 438
38.9%
Close Punctuation
ValueCountFrequency (%)
] 688
60.7%
) 445
39.3%
Math Symbol
ValueCountFrequency (%)
> 7
87.5%
~ 1
 
12.5%
Space Separator
ValueCountFrequency (%)
7029
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 2
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30658
71.2%
Common 11800
 
27.4%
Han 496
 
1.2%
Latin 121
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 818
 
2.7%
지 795
 
2.6%
비 655
 
2.1%
의 633
 
2.1%
내 599
 
2.0%
공 591
 
1.9%
동 577
 
1.9%
원 563
 
1.8%
기 531
 
1.7%
전 466
 
1.5%
Other values (523) 24430
79.7%
Han
ValueCountFrequency (%)
金 42
 
8.5%
李 32
 
6.5%
金 16
 
3.2%
故 15
 
3.0%
權 13
 
2.6%
鄭 10
 
2.0%
煥 9
 
1.8%
燮 9
 
1.8%
根 9
 
1.8%
元 8
 
1.6%
Other values (153) 333
67.1%
Latin
ValueCountFrequency (%)
a 12
 
9.9%
m 11
 
9.1%
l 9
 
7.4%
e 9
 
7.4%
P 7
 
5.8%
O 6
 
5.0%
U 5
 
4.1%
A 5
 
4.1%
d 5
 
4.1%
r 4
 
3.3%
Other values (22) 48
39.7%
Common
ValueCountFrequency (%)
7029
59.6%
[ 688
 
5.8%
] 688
 
5.8%
, 664
 
5.6%
) 445
 
3.8%
( 438
 
3.7%
1 327
 
2.8%
. 325
 
2.8%
3 269
 
2.3%
2 204
 
1.7%
Other values (16) 723
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30658
71.2%
ASCII 11917
 
27.7%
CJK 436
 
1.0%
CJK Compat Ideographs 60
 
0.1%
Punctuation 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7029
59.0%
[ 688
 
5.8%
] 688
 
5.8%
, 664
 
5.6%
) 445
 
3.7%
( 438
 
3.7%
1 327
 
2.7%
. 325
 
2.7%
3 269
 
2.3%
2 204
 
1.7%
Other values (46) 840
 
7.0%
Hangul
ValueCountFrequency (%)
사 818
 
2.7%
지 795
 
2.6%
비 655
 
2.1%
의 633
 
2.1%
내 599
 
2.0%
공 591
 
1.9%
동 577
 
1.9%
원 563
 
1.8%
기 531
 
1.7%
전 466
 
1.5%
Other values (523) 24430
79.7%
CJK
ValueCountFrequency (%)
金 42
 
9.6%
故 15
 
3.4%
權 13
 
3.0%
鄭 10
 
2.3%
煥 9
 
2.1%
燮 9
 
2.1%
根 9
 
2.1%
元 8
 
1.8%
榮 8
 
1.8%
丁 7
 
1.6%
Other values (146) 306
70.2%
CJK Compat Ideographs
ValueCountFrequency (%)
李 32
53.3%
金 16
26.7%
柳 5
 
8.3%
烈 3
 
5.0%
呂 2
 
3.3%
來 1
 
1.7%
龍 1
 
1.7%
Punctuation
ValueCountFrequency (%)
‘ 2
50.0%
’ 2
50.0%

국가
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
대한민국
1526 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대한민국 1526
100.0%

Length

2023-12-11T06:40:52.559204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:40:52.659840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대한민국 1526
100.0%

사적분류
Categorical

Distinct16
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
항일
796 
호국
300 
소녀상
117 
UN
 
73
유해
 
45
Other values (11)
195 

Length

Max length4
Median length2
Mean length2.2241153
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row항일
2nd row유해
3rd row항일
4th row항일
5th row항일

Common Values

ValueCountFrequency (%)
항일 796
52.2%
호국 300
 
19.7%
소녀상 117
 
7.7%
UN 73
 
4.8%
유해 45
 
2.9%
6.25 43
 
2.8%
3.1탑 36
 
2.4%
민주항쟁 29
 
1.9%
무공 25
 
1.6%
월남 18
 
1.2%
Other values (6) 44
 
2.9%

Length

2023-12-11T06:40:52.770592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
항일 796
52.2%
호국 300
 
19.7%
소녀상 117
 
7.7%
un 73
 
4.8%
유해 45
 
2.9%
6.25 43
 
2.8%
3.1탑 36
 
2.4%
민주항쟁 29
 
1.9%
무공 25
 
1.6%
월남 18
 
1.2%
Other values (6) 44
 
2.9%

형태분류
Categorical

Distinct11
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
비
562 
안내
252 
묘
229 
탑
122 
표지석
87 
Other values (6)
274 

Length

Max length3
Median length1
Mean length1.5242464
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row생가
2nd row비
3rd row비
4th row비
5th row비

Common Values

ValueCountFrequency (%)
비 562
36.8%
안내 252
16.5%
묘 229
15.0%
탑 122
 
8.0%
표지석 87
 
5.7%
동상 77
 
5.0%
생가 57
 
3.7%
소녀상 44
 
2.9%
기림 40
 
2.6%
조형물 29
 
1.9%

Length

2023-12-11T06:40:52.893926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
비 562
36.8%
안내 252
16.5%
묘 229
15.0%
탑 122
 
8.0%
표지석 87
 
5.7%
동상 77
 
5.0%
생가 57
 
3.7%
소녀상 44
 
2.9%
기림 40
 
2.6%
조형물 29
 
1.9%

단체분류
Categorical

IMBALANCE 

Distinct11
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
<NA>
1256 
기미년
 
98
의병
 
94
육군
 
31
해병대
 
14
Other values (6)
 
33

Length

Max length4
Median length4
Mean length3.7300131
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1256
82.3%
기미년 98
 
6.4%
의병 94
 
6.2%
육군 31
 
2.0%
해병대 14
 
0.9%
학도병 9
 
0.6%
해군 9
 
0.6%
광복군 5
 
0.3%
경찰 4
 
0.3%
공군 4
 
0.3%

Length

2023-12-11T06:40:53.020190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1256
82.3%
기미년 98
 
6.4%
의병 94
 
6.2%
육군 31
 
2.0%
해병대 14
 
0.9%
학도병 9
 
0.6%
해군 9
 
0.6%
광복군 5
 
0.3%
경찰 4
 
0.3%
공군 4
 
0.3%

사적사진링크
Text

MISSING 

Distinct1261
Distinct (%)93.5%
Missing177
Missing (%)11.6%
Memory size12.1 KiB
2023-12-11T06:40:53.317170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length78
Median length77
Mean length76.608599
Min length74

Characters and Unicode

Total characters103345
Distinct characters35
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1182 ?
Unique (%)87.6%

Sample

1st rowhttp://www.dmook.co.kr/gallery/view.asp?seq=200475&path=121014181003&page=75
2nd rowhttp://www.dmook.co.kr/gallery/view.asp?seq=258936&path=140719215042&page=101
3rd rowhttp://www.dmook.co.kr/gallery/view.asp?seq=200475&path=121014181003&page=237
4th rowhttp://www.dmook.co.kr/gallery/view.asp?seq=200475&path=121014181003&page=237
5th rowhttp://www.dmook.co.kr/gallery/view.asp?seq=200475&path=121014181003&page=237
ValueCountFrequency (%)
http://www.dmook.co.kr/gallery/view.asp?seq=200475&path=121014181003&page=603 4
 
0.3%
http://www.dmook.co.kr/gallery/view.asp?seq=200475&path=121014181003&page=237 4
 
0.3%
http://www.dmook.co.kr/gallery/view.asp?seq=258932&path=140719213655&page=161 4
 
0.3%
http://www.dmook.co.kr/gallery/view.asp?seq=199673&path=121006193711&page=527 3
 
0.2%
http://www.dmook.co.kr/gallery/view.asp?seq=205381&path=121208215813&page=625 3
 
0.2%
http://www.dmook.co.kr/gallery/view.asp?seq=259727&path=140731144553&page=171 3
 
0.2%
http://www.dmook.co.kr/gallery/view.asp?seq=198239&path=120915205019&page=441 2
 
0.1%
http://www.dmook.co.kr/gallery/view.asp?seq=285003&path=151012145005&page=177 2
 
0.1%
http://www.dmook.co.kr/gallery/view.asp?seq=198239&path=120915205019&page=583 2
 
0.1%
http://www.dmook.co.kr/gallery/view.asp?seq=205381&path=121208215813&page=337 2
 
0.1%
Other values (1251) 1320
97.9%
2023-12-11T06:40:53.820793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 6284
 
6.1%
p 5396
 
5.2%
/ 5396
 
5.2%
w 5396
 
5.2%
. 5396
 
5.2%
e 5396
 
5.2%
a 5396
 
5.2%
o 4047
 
3.9%
= 4047
 
3.9%
t 4047
 
3.9%
Other values (25) 52544
50.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 55309
53.5%
Decimal Number 27801
26.9%
Other Punctuation 16188
 
15.7%
Math Symbol 4047
 
3.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
p 5396
 
9.8%
w 5396
 
9.8%
e 5396
 
9.8%
a 5396
 
9.8%
o 4047
 
7.3%
t 4047
 
7.3%
h 2698
 
4.9%
l 2698
 
4.9%
k 2698
 
4.9%
g 2698
 
4.9%
Other values (9) 14839
26.8%
Decimal Number
ValueCountFrequency (%)
1 6284
22.6%
2 3943
14.2%
0 3756
13.5%
3 2851
10.3%
5 2437
 
8.8%
9 2248
 
8.1%
7 1922
 
6.9%
4 1685
 
6.1%
8 1546
 
5.6%
6 1129
 
4.1%
Other Punctuation
ValueCountFrequency (%)
/ 5396
33.3%
. 5396
33.3%
& 2698
16.7%
? 1349
 
8.3%
: 1349
 
8.3%
Math Symbol
ValueCountFrequency (%)
= 4047
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 55309
53.5%
Common 48036
46.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
p 5396
 
9.8%
w 5396
 
9.8%
e 5396
 
9.8%
a 5396
 
9.8%
o 4047
 
7.3%
t 4047
 
7.3%
h 2698
 
4.9%
l 2698
 
4.9%
k 2698
 
4.9%
g 2698
 
4.9%
Other values (9) 14839
26.8%
Common
ValueCountFrequency (%)
1 6284
13.1%
/ 5396
11.2%
. 5396
11.2%
= 4047
8.4%
2 3943
8.2%
0 3756
7.8%
3 2851
 
5.9%
& 2698
 
5.6%
5 2437
 
5.1%
9 2248
 
4.7%
Other values (6) 8980
18.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 103345
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 6284
 
6.1%
p 5396
 
5.2%
/ 5396
 
5.2%
w 5396
 
5.2%
. 5396
 
5.2%
e 5396
 
5.2%
a 5396
 
5.2%
o 4047
 
3.9%
= 4047
 
3.9%
t 4047
 
3.9%
Other values (25) 52544
50.8%

이전위치
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1526
Missing (%)100.0%
Memory size13.5 KiB

수정일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
2021-02-09
1526 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-02-09
2nd row2021-02-09
3rd row2021-02-09
4th row2021-02-09
5th row2021-02-09

Common Values

ValueCountFrequency (%)
2021-02-09 1526
100.0%

Length

2023-12-11T06:40:53.974860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:40:54.078570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-02-09 1526
100.0%

도로명주소
Text

MISSING 

Distinct345
Distinct (%)61.3%
Missing963
Missing (%)63.1%
Memory size12.1 KiB
2023-12-11T06:40:54.420027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length26
Mean length20.262877
Min length13

Characters and Unicode

Total characters11408
Distinct characters244
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique266 ?
Unique (%)47.2%

Sample

1st row경기도 광주시 퇴촌면 가새골길 85
2nd row경기도 광주시 퇴촌면 가새골길 85
3rd row경기도 광주시 퇴촌면 가새골길 85
4th row경기도 광주시 퇴촌면 가새골길 85
5th row경기도 광주시 퇴촌면 가새골길 85
ValueCountFrequency (%)
경기도 563
 
20.9%
파주시 53
 
2.0%
양평군 51
 
1.9%
용인시 50
 
1.9%
광주시 41
 
1.5%
남양주시 39
 
1.4%
처인구 37
 
1.4%
화성시 34
 
1.3%
85 31
 
1.1%
퇴촌면 31
 
1.1%
Other values (708) 1766
65.5%
2023-12-11T06:40:54.922158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2133
 
18.7%
도 590
 
5.2%
경 582
 
5.1%
기 572
 
5.0%
시 525
 
4.6%
1 454
 
4.0%
로 427
 
3.7%
3 259
 
2.3%
2 242
 
2.1%
길 238
 
2.1%
Other values (234) 5386
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6951
60.9%
Decimal Number 2136
 
18.7%
Space Separator 2133
 
18.7%
Dash Punctuation 188
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 590
 
8.5%
경 582
 
8.4%
기 572
 
8.2%
시 525
 
7.6%
로 427
 
6.1%
길 238
 
3.4%
양 236
 
3.4%
면 225
 
3.2%
주 191
 
2.7%
구 130
 
1.9%
Other values (222) 3235
46.5%
Decimal Number
ValueCountFrequency (%)
1 454
21.3%
3 259
12.1%
2 242
11.3%
5 223
10.4%
6 196
9.2%
8 185
8.7%
4 166
 
7.8%
9 144
 
6.7%
0 139
 
6.5%
7 128
 
6.0%
Space Separator
ValueCountFrequency (%)
2133
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 188
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6951
60.9%
Common 4457
39.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 590
 
8.5%
경 582
 
8.4%
기 572
 
8.2%
시 525
 
7.6%
로 427
 
6.1%
길 238
 
3.4%
양 236
 
3.4%
면 225
 
3.2%
주 191
 
2.7%
구 130
 
1.9%
Other values (222) 3235
46.5%
Common
ValueCountFrequency (%)
2133
47.9%
1 454
 
10.2%
3 259
 
5.8%
2 242
 
5.4%
5 223
 
5.0%
6 196
 
4.4%
- 188
 
4.2%
8 185
 
4.2%
4 166
 
3.7%
9 144
 
3.2%
Other values (2) 267
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6951
60.9%
ASCII 4457
39.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2133
47.9%
1 454
 
10.2%
3 259
 
5.8%
2 242
 
5.4%
5 223
 
5.0%
6 196
 
4.4%
- 188
 
4.2%
8 185
 
4.2%
4 166
 
3.7%
9 144
 
3.2%
Other values (2) 267
 
6.0%
Hangul
ValueCountFrequency (%)
도 590
 
8.5%
경 582
 
8.4%
기 572
 
8.2%
시 525
 
7.6%
로 427
 
6.1%
길 238
 
3.4%
양 236
 
3.4%
면 225
 
3.2%
주 191
 
2.7%
구 130
 
1.9%
Other values (222) 3235
46.5%

지번주소
Text

Distinct1063
Distinct (%)69.7%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
2023-12-11T06:40:55.261334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length28
Mean length19.810616
Min length14

Characters and Unicode

Total characters30231
Distinct characters302
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

Unique855 ?
Unique (%)56.0%

Sample

1st row경기도 광주시 초월읍 서하리 160-1
2nd row경기도 광주시 초월읍 학동리 14-36
3rd row경기도 광주시 퇴촌면 광동리 70-1
4th row경기도 광주시 퇴촌면 광동리 70-1
5th row경기도 광주시 퇴촌면 광동리 70-1
ValueCountFrequency (%)
경기도 1526
 
20.7%
양평군 126
 
1.7%
파주시 126
 
1.7%
용인시 124
 
1.7%
처인구 87
 
1.2%
포천시 85
 
1.2%
연천군 78
 
1.1%
광주시 77
 
1.0%
김포시 76
 
1.0%
화성시 75
 
1.0%
Other values (1692) 5006
67.8%
2023-12-11T06:40:55.793062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5860
19.4%
도 1577
 
5.2%
기 1563
 
5.2%
경 1536
 
5.1%
시 1291
 
4.3%
1 1050
 
3.5%
리 1006
 
3.3%
- 829
 
2.7%
동 733
 
2.4%
면 685
 
2.3%
Other values (292) 14101
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18575
61.4%
Space Separator 5860
 
19.4%
Decimal Number 4876
 
16.1%
Dash Punctuation 829
 
2.7%
Open Punctuation 43
 
0.1%
Close Punctuation 33
 
0.1%
Uppercase Letter 9
 
< 0.1%
Other Punctuation 5
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 1577
 
8.5%
기 1563
 
8.4%
경 1536
 
8.3%
시 1291
 
7.0%
리 1006
 
5.4%
동 733
 
3.9%
면 685
 
3.7%
산 678
 
3.7%
양 517
 
2.8%
주 408
 
2.2%
Other values (263) 8581
46.2%
Decimal Number
ValueCountFrequency (%)
1 1050
21.5%
2 674
13.8%
3 532
10.9%
5 454
9.3%
4 447
9.2%
6 445
9.1%
7 412
 
8.4%
0 293
 
6.0%
8 286
 
5.9%
9 283
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
J 1
11.1%
S 1
11.1%
A 1
11.1%
Z 1
11.1%
O 1
11.1%
P 1
11.1%
M 1
11.1%
K 1
11.1%
D 1
11.1%
Other Punctuation
ValueCountFrequency (%)
. 2
40.0%
, 2
40.0%
? 1
20.0%
Open Punctuation
ValueCountFrequency (%)
( 42
97.7%
[ 1
 
2.3%
Close Punctuation
ValueCountFrequency (%)
) 32
97.0%
] 1
 
3.0%
Space Separator
ValueCountFrequency (%)
5860
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 829
100.0%
Math Symbol
ValueCountFrequency (%)
> 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18575
61.4%
Common 11647
38.5%
Latin 9
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 1577
 
8.5%
기 1563
 
8.4%
경 1536
 
8.3%
시 1291
 
7.0%
리 1006
 
5.4%
동 733
 
3.9%
면 685
 
3.7%
산 678
 
3.7%
양 517
 
2.8%
주 408
 
2.2%
Other values (263) 8581
46.2%
Common
ValueCountFrequency (%)
5860
50.3%
1 1050
 
9.0%
- 829
 
7.1%
2 674
 
5.8%
3 532
 
4.6%
5 454
 
3.9%
4 447
 
3.8%
6 445
 
3.8%
7 412
 
3.5%
0 293
 
2.5%
Other values (10) 651
 
5.6%
Latin
ValueCountFrequency (%)
J 1
11.1%
S 1
11.1%
A 1
11.1%
Z 1
11.1%
O 1
11.1%
P 1
11.1%
M 1
11.1%
K 1
11.1%
D 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18575
61.4%
ASCII 11656
38.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5860
50.3%
1 1050
 
9.0%
- 829
 
7.1%
2 674
 
5.8%
3 532
 
4.6%
5 454
 
3.9%
4 447
 
3.8%
6 445
 
3.8%
7 412
 
3.5%
0 293
 
2.5%
Other values (19) 660
 
5.7%
Hangul
ValueCountFrequency (%)
도 1577
 
8.5%
기 1563
 
8.4%
경 1536
 
8.3%
시 1291
 
7.0%
리 1006
 
5.4%
동 733
 
3.9%
면 685
 
3.7%
산 678
 
3.7%
양 517
 
2.8%
주 408
 
2.2%
Other values (263) 8581
46.2%

우편번호
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct568
Distinct (%)44.0%
Missing235
Missing (%)15.4%
Infinite0
Infinite (%)0.0%
Mean13562.582
Minimum10000
Maximum18608
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2023-12-11T06:40:55.931125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10000
5-th percentile10124.5
Q111140
median12544
Q316590.5
95-th percentile18135
Maximum18608
Range8608
Interquartile range (IQR)5450.5

Descriptive statistics

Standard deviation2718.7352
Coefficient of variation (CV)0.20045852
Kurtosis-1.2122999
Mean13562.582
Median Absolute Deviation (MAD)1603
Skewness0.54006599
Sum17509294
Variance7391521
MonotonicityNot monotonic
2023-12-11T06:40:56.055995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12536 32
 
2.1%
12715 31
 
2.0%
10808 22
 
1.4%
12541 13
 
0.9%
12407 13
 
0.9%
11307 12
 
0.8%
17170 12
 
0.8%
10836 12
 
0.8%
10057 12
 
0.8%
10124 11
 
0.7%
Other values (558) 1121
73.5%
(Missing) 235
 
15.4%
ValueCountFrequency (%)
10000 1
 
0.1%
10002 1
 
0.1%
10003 7
0.5%
10004 1
 
0.1%
10008 1
 
0.1%
10012 3
 
0.2%
10021 1
 
0.1%
10024 9
0.6%
10025 1
 
0.1%
10026 1
 
0.1%
ValueCountFrequency (%)
18608 1
 
0.1%
18595 4
0.3%
18593 1
 
0.1%
18592 1
 
0.1%
18587 3
 
0.2%
18586 1
 
0.1%
18584 1
 
0.1%
18581 9
0.6%
18577 1
 
0.1%
18574 2
 
0.1%

WGS84위도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct883
Distinct (%)67.7%
Missing221
Missing (%)14.5%
Infinite0
Infinite (%)0.0%
Mean37.519567
Minimum36.937395
Maximum38.241758
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2023-12-11T06:40:56.188809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.937395
5-th percentile37.060821
Q137.292466
median37.454754
Q337.753728
95-th percentile38.019938
Maximum38.241758
Range1.3043633
Interquartile range (IQR)0.46126207

Descriptive statistics

Standard deviation0.29826393
Coefficient of variation (CV)0.0079495569
Kurtosis-0.89220994
Mean37.519567
Median Absolute Deviation (MAD)0.22090706
Skewness0.22101962
Sum48963.035
Variance0.088961375
MonotonicityNot monotonic
2023-12-11T06:40:56.348796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.4428513339 31
 
2.0%
37.4431259186 25
 
1.6%
37.8904296618 20
 
1.3%
37.6605617647 12
 
0.8%
37.8507717861 12
 
0.8%
37.1924318113 10
 
0.7%
37.2579367546 9
 
0.6%
37.6478362115 8
 
0.5%
37.5474328186 8
 
0.5%
38.129767194 7
 
0.5%
Other values (873) 1163
76.2%
(Missing) 221
 
14.5%
ValueCountFrequency (%)
36.9373948344 2
0.1%
36.9408110644 1
0.1%
36.9590568524 1
0.1%
36.9646268981 1
0.1%
36.9662483727 1
0.1%
36.9668279687 1
0.1%
36.9759205271 1
0.1%
36.9875627893 1
0.1%
36.9919006082 1
0.1%
36.9942969685 1
0.1%
ValueCountFrequency (%)
38.2417581591 1
0.1%
38.2135451742 1
0.1%
38.2119895078 1
0.1%
38.1956817184 1
0.1%
38.1888209415 1
0.1%
38.1808173875 1
0.1%
38.1731030498 1
0.1%
38.1529764212 1
0.1%
38.1484833789 2
0.1%
38.1474122108 1
0.1%

WGS84경도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct883
Distinct (%)67.7%
Missing221
Missing (%)14.5%
Infinite0
Infinite (%)0.0%
Mean127.1299
Minimum126.53595
Maximum127.7694
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2023-12-11T06:40:56.505472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.53595
5-th percentile126.72833
Q1126.91793
median127.11483
Q3127.32063
95-th percentile127.64766
Maximum127.7694
Range1.2334491
Interquartile range (IQR)0.40269762

Descriptive statistics

Standard deviation0.28261847
Coefficient of variation (CV)0.0022230684
Kurtosis-0.52257998
Mean127.1299
Median Absolute Deviation (MAD)0.20507298
Skewness0.25940984
Sum165904.52
Variance0.079873199
MonotonicityNot monotonic
2023-12-11T06:40:56.676222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.3220161151 31
 
2.0%
127.7586789507 25
 
1.6%
126.7403709312 20
 
1.3%
126.6259543437 12
 
0.8%
126.7922688978 12
 
0.8%
127.0282114287 10
 
0.7%
127.3025817416 9
 
0.6%
127.3206325682 8
 
0.5%
127.5802424097 8
 
0.5%
126.9731483372 7
 
0.5%
Other values (873) 1163
76.2%
(Missing) 221
 
14.5%
ValueCountFrequency (%)
126.535947134 2
0.1%
126.5360680288 1
0.1%
126.5525966862 1
0.1%
126.5548963638 1
0.1%
126.5556187275 1
0.1%
126.5561340119 1
0.1%
126.5566718184 2
0.1%
126.5573715633 1
0.1%
126.5577287685 1
0.1%
126.581419951 1
0.1%
ValueCountFrequency (%)
127.7693962478 1
 
0.1%
127.7668943671 2
 
0.1%
127.7586789507 25
1.6%
127.7582832533 1
 
0.1%
127.758255661 1
 
0.1%
127.755570928 1
 
0.1%
127.7548024439 1
 
0.1%
127.7483499182 1
 
0.1%
127.7457360428 1
 
0.1%
127.7445429823 2
 
0.1%

Interactions

2023-12-11T06:40:49.907950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:40:48.957914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:40:49.287113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:40:50.002669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:40:49.080426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:40:49.398829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:40:50.126129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:40:49.176568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:40:49.513156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:40:56.795586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명사적분류형태분류단체분류우편번호WGS84위도WGS84경도
시군명1.0000.5770.3860.7590.9930.9440.920
사적분류0.5771.0000.7060.7470.3700.4010.300
형태분류0.3860.7061.0000.5720.2200.2160.178
단체분류0.7590.7470.5721.0000.6520.7580.747
우편번호0.9930.3700.2200.6521.0000.8940.850
WGS84위도0.9440.4010.2160.7580.8941.0000.603
WGS84경도0.9200.3000.1780.7470.8500.6031.000
2023-12-11T06:40:56.923824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단체분류형태분류사적분류시군명
단체분류1.0000.2070.4790.383
형태분류0.2071.0000.3570.140
사적분류0.4790.3571.0000.199
시군명0.3830.1400.1991.000
2023-12-11T06:40:57.029285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
우편번호WGS84위도WGS84경도시군명사적분류형태분류단체분류
우편번호1.000-0.9080.2280.9350.1540.0950.251
WGS84위도-0.9081.000-0.1200.7100.1690.0930.326
WGS84경도0.228-0.1201.0000.6400.1220.0760.317
시군명0.9350.7100.6401.0000.1990.1400.383
사적분류0.1540.1690.1220.1991.0000.3570.479
형태분류0.0950.0930.0760.1400.3571.0000.207
단체분류0.2510.3260.3170.3830.4790.2071.000

Missing values

2023-12-11T06:40:50.302075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:40:50.517876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-12-11T06:40:50.681832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

시군명사적지명위치국가사적분류형태분류단체분류사적사진링크이전위치수정일도로명주소지번주소우편번호WGS84위도WGS84경도
0광주시해공 신익희선생 생가, 어록비군해공선생 생가, 어록비군[신익희]대한민국항일생가<NA>http://www.dmook.co.kr/gallery/view.asp?seq=200475&path=121014181003&page=75<NA>2021-02-09<NA>경기도 광주시 초월읍 서하리 160-11270537.432362127.306589
1광주시무갑사 6.25전사자 유해발굴 지역마을회관앞 무갑산 6.25전사자 유해발굴 기념지역 안내판대한민국유해비<NA>http://www.dmook.co.kr/gallery/view.asp?seq=258936&path=140719215042&page=101<NA>2021-02-09<NA>경기도 광주시 초월읍 학동리 14-361273137.393697127.340525
2광주시대한독립단장 조맹선호국기념비한양조씨 조영무묘 입구 대한독립단장 의사 원석 [조맹선]호국기념비대한민국항일비<NA>http://www.dmook.co.kr/gallery/view.asp?seq=200475&path=121014181003&page=237<NA>2021-02-09<NA>경기도 광주시 퇴촌면 광동리 70-11271137.462663127.312882
3광주시애국지사 조창선 영모기념비한양조씨 조영무묘 입구 애국지사 한양조공 창선 영모기념비[조창선]대한민국항일비<NA>http://www.dmook.co.kr/gallery/view.asp?seq=200475&path=121014181003&page=237<NA>2021-02-09<NA>경기도 광주시 퇴촌면 광동리 70-11271137.462663127.312882
4광주시애국지사 조천일 공적기념비한양조씨 조영무묘 입구 애국지사 한양조공 천일 공적기념비[조천일]대한민국항일비<NA>http://www.dmook.co.kr/gallery/view.asp?seq=200475&path=121014181003&page=237<NA>2021-02-09<NA>경기도 광주시 퇴촌면 광동리 70-11271137.462663127.312882
5광주시애국지사 효산 조만산공로추모비한양조씨 조영무묘 입구 애국지사 한양조공 효산 만산공로추모비[조만산]대한민국항일비<NA>http://www.dmook.co.kr/gallery/view.asp?seq=200475&path=121014181003&page=237<NA>2021-02-09<NA>경기도 광주시 퇴촌면 광동리 70-11271137.462663127.312882
6광주시평화의 소녀상일본군 위안부 역사관 나눔의 집 평화의 소녀상 못다핀 꽃대한민국소녀상기림<NA>http://www.dmook.co.kr/gallery/view.asp?seq=309710&path=170820153332&page=163<NA>2021-02-09경기도 광주시 퇴촌면 가새골길 85경기도 광주시 퇴촌면 원당리 651271537.442851127.322016
7광주시할머니들의 추모비일본군 위안부 역사관 나눔의 집 할머니들의 추모비(김외환, 배춘희, 문필기, 박두리, 김순덕, 지동이, 김화선, 이용녀, 김군자) : 뒷편 추모공원으로 이전대한민국소녀상비<NA>http://www.dmook.co.kr/gallery/view.asp?seq=309710&path=170820153332&page=19<NA>2021-02-09경기도 광주시 퇴촌면 가새골길 85경기도 광주시 퇴촌면 원당리 651271537.442851127.322016
8광주시배춘희할머니 흉상일본군 위안부 역사관 나눔의 집 배춘희할머니 흉상대한민국소녀상동상<NA>http://www.dmook.co.kr/gallery/view.asp?seq=200475&path=121014181003&page=777<NA>2021-02-09경기도 광주시 퇴촌면 가새골길 85경기도 광주시 퇴촌면 원당리 651271537.442851127.322016
9광주시김학순할머니 흉상일본군 위안부 역사관 나눔의 집 김학순할머니 흉상대한민국소녀상동상<NA>http://www.dmook.co.kr/gallery/view.asp?seq=309710&path=170820153332&page=779<NA>2021-02-09경기도 광주시 퇴촌면 가새골길 85경기도 광주시 퇴촌면 원당리 651271537.442851127.322016
시군명사적지명위치국가사적분류형태분류단체분류사적사진링크이전위치수정일도로명주소지번주소우편번호WGS84위도WGS84경도
1516파주시임광빈중령 기념비통일공원 내 [임광빈]중령 기념비대한민국호국비육군http://www.dmook.co.kr/gallery/view.asp?seq=158937&path=110626183538&page=63<NA>2021-02-09경기도 파주시 파주읍 충현로 41-58경기도 파주시 파주읍 봉서리 산421083637.850772126.792269
1517평택시한국전쟁순국자위령비서탄초등학교 맑은누리숲 내 한국전쟁 순국자 위령비대한민국호국위령비<NA>http://www.dmook.co.kr/gallery/view.asp?seq=165322&path=110918223534&page=221<NA>2021-02-09경기도 평택시 서탄면 금암2길 121경기도 평택시 서탄면 금암리 233-11770437.107388127.036134
1518평택시애국지사 이규창의 묘소 안내판애국지사 [이규창(李奎昌)]의 묘소 안내판대한민국항일안내<NA>http://www.dmook.co.kr/gallery/view.asp?seq=205381&path=121208215813&page=337<NA>2021-02-09<NA>경기도 평택시 죽백동 141-31786437.010434127.13478
1519평택시6.25참전용사 명비마을입구 삼거리 6.25참전용사 명비대한민국6.25비<NA>http://www.dmook.co.kr/gallery/view.asp?seq=165322&path=110918223534&page=271<NA>2021-02-09경기도 평택시 포승읍 포승남로 321경기도 평택시 포승읍 방림리 459-121796536.964627126.888481
1520화성시故 공완택병장 동상발안중학교 내 故 [공완택]병장 동상대한민국호국동상육군http://www.dmook.co.kr/gallery/view.asp?seq=258932&path=140719213655&page=1<NA>2021-02-09경기도 화성시 향남읍 발안로 73경기도 화성시 향남읍 평리 63-181859237.132894126.918687
1521화성시애국지사 김종학의 묘애국지사 [김종학(화성)]의 묘대한민국항일묘<NA>http://www.dmook.co.kr/gallery/view.asp?seq=201899&path=121028170458&page=695<NA>2021-02-09<NA>경기도 화성시 장안면 수촌리 산31-11858137.099366126.876522
1522화성시애국지사 학오 김성진의 묘학오 [김성진(金聲鎭)]의 묘대한민국항일묘<NA><NA><NA>2021-02-09<NA>경기도 화성시 팔탄면 구장리 항일투사<NA><NA><NA>
1523화성시3송산지역 독립운동항쟁지조형물송산초등학교 정문 송산지역 독립운동항쟁지 '꺼지지 않는 횃불'대한민국항일조형물<NA>http://www.dmook.co.kr/gallery/view.asp?seq=201899&path=121028170458&page=745<NA>2021-02-09경기도 화성시 송산면 사강시장길 15-9경기도 화성시 송산면 사강리 7011855037.214642126.731962
1524화성시각리,중리 만세시위지 안내판각리,죽리 만세시위지 안내판대한민국항일안내<NA>http://www.dmook.co.kr/gallery/view.asp?seq=201899&path=121028170458&page=449<NA>2021-02-09경기도 화성시 우정읍 조암죽말길 110-9경기도 화성시 우정읍 한각리 202-11856337.086159126.803773
1525화성시6.25참전기념비화성현충공원 6.25참전기념비대한민국6.25비<NA>http://www.dmook.co.kr/gallery/view.asp?seq=258932&path=140719213655&page=161<NA>2021-02-09경기도 화성시 효행로 843경기도 화성시 송산동 2241835837.205766127.02202