Overview

Dataset statistics

Number of variables14
Number of observations2303
Missing cells389
Missing cells (%)1.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory256.5 KiB
Average record size in memory114.1 B

Variable types

Numeric2
Categorical4
Text7
DateTime1

Dataset

Description국내 현충시설 관련 현황 자료 등- 시설명, 시설구분, 시설 소재지(상세주소 포함), 현충시설 지정일자, 관할 보훈관서 등 자료 포함
Author국가보훈부
URLhttps://www.data.go.kr/data/15075599/fileData.do

Alerts

구분 is highly overall correlated with 사건연도 and 1 other fieldsHigh correlation
주제분류 is highly overall correlated with 사건연도 and 1 other fieldsHigh correlation
사건연도 is highly overall correlated with 구분 and 1 other fieldsHigh correlation
사건연도 has 302 (13.1%) missing valuesMissing
건립시기 has 87 (3.8%) missing valuesMissing
연번 has unique valuesUnique
관리번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 17:46:33.328785
Analysis finished2024-03-14 17:46:37.879652
Duration4.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct2303
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1152
Minimum1
Maximum2303
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.4 KiB
2024-03-15T02:46:38.340706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile116.1
Q1576.5
median1152
Q31727.5
95-th percentile2187.9
Maximum2303
Range2302
Interquartile range (IQR)1151

Descriptive statistics

Standard deviation664.96316
Coefficient of variation (CV)0.57722496
Kurtosis-1.2
Mean1152
Median Absolute Deviation (MAD)576
Skewness0
Sum2653056
Variance442176
MonotonicityStrictly increasing
2024-03-15T02:46:38.952168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2 1
 
< 0.1%
1533 1
 
< 0.1%
1534 1
 
< 0.1%
1535 1
 
< 0.1%
1536 1
 
< 0.1%
1537 1
 
< 0.1%
1538 1
 
< 0.1%
1539 1
 
< 0.1%
1540 1
 
< 0.1%
Other values (2293) 2293
99.6%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
2303 1
< 0.1%
2302 1
< 0.1%
2301 1
< 0.1%
2300 1
< 0.1%
2299 1
< 0.1%
2298 1
< 0.1%
2297 1
< 0.1%
2296 1
< 0.1%
2295 1
< 0.1%
2294 1
< 0.1%

구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
국가수호
1314 
독립운동
989 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row국가수호
2nd row독립운동
3rd row독립운동
4th row독립운동
5th row국가수호

Common Values

ValueCountFrequency (%)
국가수호 1314
57.1%
독립운동 989
42.9%

Length

2024-03-15T02:46:39.376329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:46:39.699875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국가수호 1314
57.1%
독립운동 989
42.9%

명칭
Text

Distinct2276
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
2024-03-15T02:46:41.000475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length26
Mean length11.596179
Min length3

Characters and Unicode

Total characters26706
Distinct characters472
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2251 ?
Unique (%)97.7%

Sample

1st row전사경찰추모비
2nd row단재영당(기념관)
3rd row고령군 국채보상운동기념비
4th row상주시 국채보상운동기념비
5th row순천시 현충정원
ValueCountFrequency (%)
기념비 262
 
4.5%
참전 153
 
2.7%
6·25 110
 
1.9%
추모비 107
 
1.9%
기념탑 96
 
1.7%
애국지사 84
 
1.5%
동상 77
 
1.3%
전적비 75
 
1.3%
기념관 57
 
1.0%
충혼탑 52
 
0.9%
Other values (2770) 4700
81.4%
2024-03-15T02:46:42.660248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3471
 
13.0%
비 1212
 
4.5%
기 784
 
2.9%
전 750
 
2.8%
념 664
 
2.5%
( 536
 
2.0%
) 536
 
2.0%
탑 531
 
2.0%
사 528
 
2.0%
공 513
 
1.9%
Other values (462) 17181
64.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20546
76.9%
Space Separator 3471
 
13.0%
Decimal Number 1114
 
4.2%
Open Punctuation 537
 
2.0%
Close Punctuation 537
 
2.0%
Other Punctuation 452
 
1.7%
Uppercase Letter 25
 
0.1%
Dash Punctuation 14
 
0.1%
Lowercase Letter 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
비 1212
 
5.9%
기 784
 
3.8%
전 750
 
3.7%
념 664
 
3.2%
탑 531
 
2.6%
사 528
 
2.6%
공 513
 
2.5%
충 456
 
2.2%
동 429
 
2.1%
국 384
 
1.9%
Other values (420) 14295
69.6%
Uppercase Letter
ValueCountFrequency (%)
U 6
24.0%
N 3
12.0%
C 2
 
8.0%
D 2
 
8.0%
M 2
 
8.0%
T 2
 
8.0%
Y 2
 
8.0%
A 2
 
8.0%
F 1
 
4.0%
B 1
 
4.0%
Other values (2) 2
 
8.0%
Decimal Number
ValueCountFrequency (%)
5 240
21.5%
2 239
21.5%
6 237
21.3%
1 177
15.9%
3 173
15.5%
4 20
 
1.8%
0 10
 
0.9%
8 9
 
0.8%
7 7
 
0.6%
9 2
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
e 2
20.0%
r 2
20.0%
o 1
10.0%
g 1
10.0%
d 1
10.0%
i 1
10.0%
y 1
10.0%
n 1
10.0%
Other Punctuation
ValueCountFrequency (%)
· 313
69.2%
. 124
 
27.4%
, 8
 
1.8%
/ 4
 
0.9%
' 2
 
0.4%
? 1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 536
99.8%
[ 1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 536
99.8%
] 1
 
0.2%
Space Separator
ValueCountFrequency (%)
3471
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20523
76.8%
Common 6125
 
22.9%
Latin 35
 
0.1%
Han 23
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
비 1212
 
5.9%
기 784
 
3.8%
전 750
 
3.7%
념 664
 
3.2%
탑 531
 
2.6%
사 528
 
2.6%
공 513
 
2.5%
충 456
 
2.2%
동 429
 
2.1%
국 384
 
1.9%
Other values (413) 14272
69.5%
Common
ValueCountFrequency (%)
3471
56.7%
( 536
 
8.8%
) 536
 
8.8%
· 313
 
5.1%
5 240
 
3.9%
2 239
 
3.9%
6 237
 
3.9%
1 177
 
2.9%
3 173
 
2.8%
. 124
 
2.0%
Other values (12) 79
 
1.3%
Latin
ValueCountFrequency (%)
U 6
17.1%
N 3
 
8.6%
e 2
 
5.7%
r 2
 
5.7%
C 2
 
5.7%
D 2
 
5.7%
M 2
 
5.7%
T 2
 
5.7%
Y 2
 
5.7%
A 2
 
5.7%
Other values (10) 10
28.6%
Han
ValueCountFrequency (%)
故 16
69.6%
忠 2
 
8.7%
像 1
 
4.3%
詩 1
 
4.3%
魂 1
 
4.3%
碑 1
 
4.3%
義 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20519
76.8%
ASCII 5847
 
21.9%
None 313
 
1.2%
CJK 23
 
0.1%
Compat Jamo 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3471
59.4%
( 536
 
9.2%
) 536
 
9.2%
5 240
 
4.1%
2 239
 
4.1%
6 237
 
4.1%
1 177
 
3.0%
3 173
 
3.0%
. 124
 
2.1%
4 20
 
0.3%
Other values (31) 94
 
1.6%
Hangul
ValueCountFrequency (%)
비 1212
 
5.9%
기 784
 
3.8%
전 750
 
3.7%
념 664
 
3.2%
탑 531
 
2.6%
사 528
 
2.6%
공 513
 
2.5%
충 456
 
2.2%
동 429
 
2.1%
국 384
 
1.9%
Other values (412) 14268
69.5%
None
ValueCountFrequency (%)
· 313
100.0%
CJK
ValueCountFrequency (%)
故 16
69.6%
忠 2
 
8.7%
像 1
 
4.3%
詩 1
 
4.3%
魂 1
 
4.3%
碑 1
 
4.3%
義 1
 
4.3%
Compat Jamo
ValueCountFrequency (%)
ㆍ 4
100.0%

관리번호
Text

UNIQUE 

Distinct2303
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
2024-03-15T02:46:43.947258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length8.7138515
Min length7

Characters and Unicode

Total characters20068
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2303 ?
Unique (%)100.0%

Sample

1st row16-2-104
2nd row2025-01-07
3rd row30-1-73
4th row30-1-74
5th row55-2-45
ValueCountFrequency (%)
16-2-104 1
 
< 0.1%
43-2-33 1
 
< 0.1%
23-1-41 1
 
< 0.1%
43-2-40 1
 
< 0.1%
42-2-37 1
 
< 0.1%
42-2-34 1
 
< 0.1%
42-2-36 1
 
< 0.1%
1942-02-10 1
 
< 0.1%
43-2-32 1
 
< 0.1%
2017-02-24 1
 
< 0.1%
Other values (2293) 2293
99.6%
2024-03-15T02:46:45.601850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 4606
23.0%
1 3490
17.4%
2 3162
15.8%
0 3012
15.0%
3 1368
 
6.8%
5 1316
 
6.6%
4 1027
 
5.1%
9 908
 
4.5%
6 515
 
2.6%
7 362
 
1.8%
Other values (2) 302
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 15457
77.0%
Dash Punctuation 4606
 
23.0%
Space Separator 5
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3490
22.6%
2 3162
20.5%
0 3012
19.5%
3 1368
 
8.9%
5 1316
 
8.5%
4 1027
 
6.6%
9 908
 
5.9%
6 515
 
3.3%
7 362
 
2.3%
8 297
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 4606
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 20068
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 4606
23.0%
1 3490
17.4%
2 3162
15.8%
0 3012
15.0%
3 1368
 
6.8%
5 1316
 
6.6%
4 1027
 
5.1%
9 908
 
4.5%
6 515
 
2.6%
7 362
 
1.8%
Other values (2) 302
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20068
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 4606
23.0%
1 3490
17.4%
2 3162
15.8%
0 3012
15.0%
3 1368
 
6.8%
5 1316
 
6.6%
4 1027
 
5.1%
9 908
 
4.5%
6 515
 
2.6%
7 362
 
1.8%
Other values (2) 302
 
1.5%

지정일자
Date

Distinct147
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
Minimum2000-05-30 00:00:00
Maximum2023-12-12 00:00:00
2024-03-15T02:46:46.009625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:46:46.457844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사건연도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct167
Distinct (%)8.3%
Missing302
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean1935.4488
Minimum1637
Maximum2017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.4 KiB
2024-03-15T02:46:46.890061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1637
5-th percentile1869
Q11919
median1950
Q31950
95-th percentile2000
Maximum2017
Range380
Interquartile range (IQR)31

Descriptive statistics

Standard deviation36.763644
Coefficient of variation (CV)0.018994894
Kurtosis2.0532413
Mean1935.4488
Median Absolute Deviation (MAD)21
Skewness-0.61347393
Sum3872833
Variance1351.5655
MonotonicityNot monotonic
2024-03-15T02:46:47.338448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1950 690
30.0%
1919 276
 
12.0%
1951 97
 
4.2%
1964 38
 
1.7%
1907 22
 
1.0%
1908 21
 
0.9%
1905 20
 
0.9%
2002 19
 
0.8%
1952 18
 
0.8%
1880 15
 
0.7%
Other values (157) 785
34.1%
(Missing) 302
 
13.1%
ValueCountFrequency (%)
1637 1
 
< 0.1%
1831 1
 
< 0.1%
1833 5
0.2%
1834 1
 
< 0.1%
1836 3
0.1%
1839 1
 
< 0.1%
1841 2
 
0.1%
1842 4
0.2%
1843 3
0.1%
1846 4
0.2%
ValueCountFrequency (%)
2017 3
 
0.1%
2015 4
 
0.2%
2014 1
 
< 0.1%
2011 2
 
0.1%
2010 12
0.5%
2009 1
 
< 0.1%
2008 5
0.2%
2007 7
0.3%
2006 4
 
0.2%
2005 11
0.5%

주제분류
Categorical

HIGH CORRELATION 

Distinct20
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
6·25전쟁
900 
3·1운동
345 
국가수호기타
329 
의병운동
178 
문화운동
164 
Other values (15)
387 

Length

Max length13
Median length6
Mean length5.4624403
Min length4

Unique

Unique5 ?
Unique (%)0.2%

Sample

1st row6·25전쟁
2nd row문화운동
3rd row문화운동
4th row문화운동
5th row6·25전쟁

Common Values

ValueCountFrequency (%)
6·25전쟁 900
39.1%
3·1운동 345
 
15.0%
국가수호기타 329
 
14.3%
의병운동 178
 
7.7%
문화운동 164
 
7.1%
독립운동기타 88
 
3.8%
한말구국운동 66
 
2.9%
월남전쟁 62
 
2.7%
의열투쟁 53
 
2.3%
해외운동 46
 
2.0%
Other values (10) 72
 
3.1%

Length

2024-03-15T02:46:47.765552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
6·25전쟁 923
39.3%
3·1운동 345
 
14.7%
국가수호기타 329
 
14.0%
의병운동 178
 
7.6%
문화운동 164
 
7.0%
독립운동기타 88
 
3.7%
월남전쟁 85
 
3.6%
한말구국운동 66
 
2.8%
의열투쟁 53
 
2.3%
해외운동 46
 
2.0%
Other values (10) 72
 
3.1%

주소
Text

Distinct250
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
2024-03-15T02:46:49.301761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length8
Mean length8.337386
Min length1

Characters and Unicode

Total characters19201
Distinct characters148
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)0.9%

Sample

1st row강원도 인제군
2nd row충청북도 청주시 상당구
3rd row경상북도 고령군
4th row경상북도 상주시
5th row전라남도 순천시
ValueCountFrequency (%)
경상북도 310
 
6.5%
경기도 299
 
6.2%
경상남도 254
 
5.3%
전라남도 241
 
5.0%
강원도 222
 
4.6%
전라북도 218
 
4.6%
충청북도 149
 
3.1%
충청남도 148
 
3.1%
서울특별시 146
 
3.0%
부산광역시 71
 
1.5%
Other values (240) 2731
57.0%
2024-03-15T02:46:51.491220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2486
 
12.9%
도 1939
 
10.1%
시 1400
 
7.3%
군 978
 
5.1%
경 898
 
4.7%
남 755
 
3.9%
북 722
 
3.8%
구 616
 
3.2%
상 593
 
3.1%
전 492
 
2.6%
Other values (138) 8322
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16715
87.1%
Space Separator 2486
 
12.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 1939
 
11.6%
시 1400
 
8.4%
군 978
 
5.9%
경 898
 
5.4%
남 755
 
4.5%
북 722
 
4.3%
구 616
 
3.7%
상 593
 
3.5%
전 492
 
2.9%
라 459
 
2.7%
Other values (137) 7863
47.0%
Space Separator
ValueCountFrequency (%)
2486
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16715
87.1%
Common 2486
 
12.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 1939
 
11.6%
시 1400
 
8.4%
군 978
 
5.9%
경 898
 
5.4%
남 755
 
4.5%
북 722
 
4.3%
구 616
 
3.7%
상 593
 
3.5%
전 492
 
2.9%
라 459
 
2.7%
Other values (137) 7863
47.0%
Common
ValueCountFrequency (%)
2486
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16715
87.1%
ASCII 2486
 
12.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2486
100.0%
Hangul
ValueCountFrequency (%)
도 1939
 
11.6%
시 1400
 
8.4%
군 978
 
5.9%
경 898
 
5.4%
남 755
 
4.5%
북 722
 
4.3%
구 616
 
3.7%
상 593
 
3.5%
전 492
 
2.9%
라 459
 
2.7%
Other values (137) 7863
47.0%

상세주소
Text

Distinct2148
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
2024-03-15T02:46:52.934895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length45
Mean length16.989579
Min length6

Characters and Unicode

Total characters39127
Distinct characters483
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2037 ?
Unique (%)88.4%

Sample

1st row남면 관대리 193-28(38공원 일대)
2nd row낭성면 귀래리 304
3rd row대가야읍 향교길 29-18(연고공원 내)
4th row복룡동 230-9(상주시민문화공원 내)
5th row국가정원 1호길 47(순천만국가정원 내)
ValueCountFrequency (%)
내 363
 
4.5%
산 113
 
1.4%
앞 40
 
0.5%
입구 37
 
0.5%
옆 36
 
0.4%
근처 23
 
0.3%
정문 16
 
0.2%
남면 15
 
0.2%
일원 15
 
0.2%
북면 13
 
0.2%
Other values (4948) 7333
91.6%
2024-03-15T02:46:55.182598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7689
 
19.7%
1 1830
 
4.7%
리 1363
 
3.5%
- 1239
 
3.2%
2 1144
 
2.9%
면 1005
 
2.6%
동 920
 
2.4%
산 907
 
2.3%
3 893
 
2.3%
내 741
 
1.9%
Other values (473) 21396
54.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20694
52.9%
Decimal Number 8057
 
20.6%
Space Separator 7689
 
19.7%
Dash Punctuation 1239
 
3.2%
Open Punctuation 609
 
1.6%
Close Punctuation 608
 
1.6%
Other Punctuation 154
 
0.4%
Lowercase Letter 27
 
0.1%
Uppercase Letter 24
 
0.1%
Math Symbol 22
 
0.1%
Other values (2) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 1363
 
6.6%
면 1005
 
4.9%
동 920
 
4.4%
산 907
 
4.4%
내 741
 
3.6%
원 623
 
3.0%
읍 545
 
2.6%
공 520
 
2.5%
로 395
 
1.9%
성 327
 
1.6%
Other values (439) 13348
64.5%
Decimal Number
ValueCountFrequency (%)
1 1830
22.7%
2 1144
14.2%
3 893
11.1%
4 735
9.1%
5 684
 
8.5%
6 620
 
7.7%
8 559
 
6.9%
7 556
 
6.9%
0 556
 
6.9%
9 480
 
6.0%
Uppercase Letter
ValueCountFrequency (%)
G 4
16.7%
Y 3
12.5%
C 3
12.5%
A 3
12.5%
O 3
12.5%
P 3
12.5%
M 2
8.3%
I 1
 
4.2%
S 1
 
4.2%
W 1
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 136
88.3%
. 14
 
9.1%
· 3
 
1.9%
? 1
 
0.6%
Lowercase Letter
ValueCountFrequency (%)
m 21
77.8%
k 6
 
22.2%
Math Symbol
ValueCountFrequency (%)
~ 12
54.5%
→ 10
45.5%
Space Separator
ValueCountFrequency (%)
7689
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1239
100.0%
Open Punctuation
ValueCountFrequency (%)
( 609
100.0%
Close Punctuation
ValueCountFrequency (%)
) 608
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20689
52.9%
Common 18382
47.0%
Latin 51
 
0.1%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 1363
 
6.6%
면 1005
 
4.9%
동 920
 
4.4%
산 907
 
4.4%
내 741
 
3.6%
원 623
 
3.0%
읍 545
 
2.6%
공 520
 
2.5%
로 395
 
1.9%
성 327
 
1.6%
Other values (438) 13343
64.5%
Common
ValueCountFrequency (%)
7689
41.8%
1 1830
 
10.0%
- 1239
 
6.7%
2 1144
 
6.2%
3 893
 
4.9%
4 735
 
4.0%
5 684
 
3.7%
6 620
 
3.4%
( 609
 
3.3%
) 608
 
3.3%
Other values (12) 2331
 
12.7%
Latin
ValueCountFrequency (%)
m 21
41.2%
k 6
 
11.8%
G 4
 
7.8%
Y 3
 
5.9%
C 3
 
5.9%
A 3
 
5.9%
O 3
 
5.9%
P 3
 
5.9%
M 2
 
3.9%
I 1
 
2.0%
Other values (2) 2
 
3.9%
Han
ValueCountFrequency (%)
內 5
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20689
52.9%
ASCII 18416
47.1%
Arrows 10
 
< 0.1%
CJK 5
 
< 0.1%
Punctuation 4
 
< 0.1%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7689
41.8%
1 1830
 
9.9%
- 1239
 
6.7%
2 1144
 
6.2%
3 893
 
4.8%
4 735
 
4.0%
5 684
 
3.7%
6 620
 
3.4%
( 609
 
3.3%
) 608
 
3.3%
Other values (20) 2365
 
12.8%
Hangul
ValueCountFrequency (%)
리 1363
 
6.6%
면 1005
 
4.9%
동 920
 
4.4%
산 907
 
4.4%
내 741
 
3.6%
원 623
 
3.0%
읍 545
 
2.6%
공 520
 
2.5%
로 395
 
1.9%
성 327
 
1.6%
Other values (438) 13343
64.5%
Arrows
ValueCountFrequency (%)
→ 10
100.0%
CJK
ValueCountFrequency (%)
內 5
100.0%
None
ValueCountFrequency (%)
· 3
100.0%
Punctuation
ValueCountFrequency (%)
’ 2
50.0%
‘ 2
50.0%

시설종류
Categorical

Distinct12
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
비석
1157 
탑
535 
동상
166 
장소
 
109
기념관
 
107
Other values (7)
229 

Length

Max length3
Median length2
Mean length1.8458532
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row비석
2nd row기념관
3rd row비석
4th row비석
5th row조형물

Common Values

ValueCountFrequency (%)
비석 1157
50.2%
탑 535
23.2%
동상 166
 
7.2%
장소 109
 
4.7%
기념관 107
 
4.6%
사당 56
 
2.4%
조형물 50
 
2.2%
생가 47
 
2.0%
기타 30
 
1.3%
사적지 23
 
1.0%
Other values (2) 23
 
1.0%

Length

2024-03-15T02:46:55.656619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
비석 1157
50.2%
탑 536
23.3%
동상 166
 
7.2%
장소 109
 
4.7%
기념관 107
 
4.6%
사당 56
 
2.4%
조형물 50
 
2.2%
생가 47
 
2.0%
기타 30
 
1.3%
사적지 23
 
1.0%

시설 소유자
Text

Distinct1473
Distinct (%)64.0%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
2024-03-15T02:46:56.783823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length27
Mean length6.6912723
Min length2

Characters and Unicode

Total characters15410
Distinct characters366
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1200 ?
Unique (%)52.1%

Sample

1st row인제경찰서
2nd row청주시
3rd row경북 고령군
4th row경북 상주시
5th row전남 순천시
ValueCountFrequency (%)
제주특별자치도 34
 
1.2%
파주시 26
 
0.9%
무공수훈자회 24
 
0.8%
부산광역시 20
 
0.7%
인천광역시 17
 
0.6%
창원시 16
 
0.6%
인제군 15
 
0.5%
광주광역시 15
 
0.5%
6.25참전유공자회 14
 
0.5%
포항시 14
 
0.5%
Other values (1580) 2676
93.2%
2024-03-15T02:46:58.135390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
군 703
 
4.6%
시 685
 
4.4%
회 618
 
4.0%
571
 
3.7%
사 327
 
2.1%
주 267
 
1.7%
지 265
 
1.7%
천 251
 
1.6%
전 241
 
1.6%
부 231
 
1.5%
Other values (356) 11251
73.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14032
91.1%
Space Separator 571
 
3.7%
Decimal Number 470
 
3.0%
Close Punctuation 117
 
0.8%
Open Punctuation 114
 
0.7%
Other Punctuation 91
 
0.6%
Uppercase Letter 15
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
군 703
 
5.0%
시 685
 
4.9%
회 618
 
4.4%
사 327
 
2.3%
주 267
 
1.9%
지 265
 
1.9%
천 251
 
1.8%
전 241
 
1.7%
부 231
 
1.6%
교 226
 
1.6%
Other values (328) 10218
72.8%
Uppercase Letter
ValueCountFrequency (%)
U 2
13.3%
Y 2
13.3%
C 2
13.3%
A 2
13.3%
K 1
6.7%
S 1
6.7%
D 1
6.7%
M 1
6.7%
W 1
6.7%
N 1
6.7%
Decimal Number
ValueCountFrequency (%)
2 113
24.0%
6 97
20.6%
5 95
20.2%
1 63
13.4%
3 35
 
7.4%
8 24
 
5.1%
7 17
 
3.6%
0 11
 
2.3%
9 11
 
2.3%
4 4
 
0.9%
Other Punctuation
ValueCountFrequency (%)
. 76
83.5%
, 8
 
8.8%
· 6
 
6.6%
: 1
 
1.1%
Space Separator
ValueCountFrequency (%)
571
100.0%
Close Punctuation
ValueCountFrequency (%)
) 117
100.0%
Open Punctuation
ValueCountFrequency (%)
( 114
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14032
91.1%
Common 1363
 
8.8%
Latin 15
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
군 703
 
5.0%
시 685
 
4.9%
회 618
 
4.4%
사 327
 
2.3%
주 267
 
1.9%
지 265
 
1.9%
천 251
 
1.8%
전 241
 
1.7%
부 231
 
1.6%
교 226
 
1.6%
Other values (328) 10218
72.8%
Common
ValueCountFrequency (%)
571
41.9%
) 117
 
8.6%
( 114
 
8.4%
2 113
 
8.3%
6 97
 
7.1%
5 95
 
7.0%
. 76
 
5.6%
1 63
 
4.6%
3 35
 
2.6%
8 24
 
1.8%
Other values (7) 58
 
4.3%
Latin
ValueCountFrequency (%)
U 2
13.3%
Y 2
13.3%
C 2
13.3%
A 2
13.3%
K 1
6.7%
S 1
6.7%
D 1
6.7%
M 1
6.7%
W 1
6.7%
N 1
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14029
91.0%
ASCII 1372
 
8.9%
None 6
 
< 0.1%
Compat Jamo 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
군 703
 
5.0%
시 685
 
4.9%
회 618
 
4.4%
사 327
 
2.3%
주 267
 
1.9%
지 265
 
1.9%
천 251
 
1.8%
전 241
 
1.7%
부 231
 
1.6%
교 226
 
1.6%
Other values (327) 10215
72.8%
ASCII
ValueCountFrequency (%)
571
41.6%
) 117
 
8.5%
( 114
 
8.3%
2 113
 
8.2%
6 97
 
7.1%
5 95
 
6.9%
. 76
 
5.5%
1 63
 
4.6%
3 35
 
2.6%
8 24
 
1.7%
Other values (17) 67
 
4.9%
None
ValueCountFrequency (%)
· 6
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 3
100.0%

시설 관리자
Text

Distinct1703
Distinct (%)73.9%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
2024-03-15T02:46:59.126329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length30
Mean length7.4941381
Min length2

Characters and Unicode

Total characters17259
Distinct characters380
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1437 ?
Unique (%)62.4%

Sample

1st row인제경찰서
2nd row청주시
3rd row경북 고령군
4th row경북 상주시
5th row전남 순천시
ValueCountFrequency (%)
무공수훈자회 30
 
1.0%
6.25참전유공자회 27
 
0.9%
부산광역시 20
 
0.7%
파주시 19
 
0.6%
인천광역시 18
 
0.6%
경기도 15
 
0.5%
의령군 12
 
0.4%
부산시설공단 12
 
0.4%
인제군 11
 
0.4%
정읍시 11
 
0.4%
Other values (1814) 2819
94.2%
2024-03-15T02:47:00.315801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
785
 
4.5%
회 778
 
4.5%
군 638
 
3.7%
시 630
 
3.7%
사 419
 
2.4%
지 358
 
2.1%
전 291
 
1.7%
공 280
 
1.6%
대 276
 
1.6%
자 246
 
1.4%
Other values (370) 12558
72.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15357
89.0%
Space Separator 785
 
4.5%
Decimal Number 628
 
3.6%
Close Punctuation 179
 
1.0%
Open Punctuation 175
 
1.0%
Other Punctuation 127
 
0.7%
Uppercase Letter 5
 
< 0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 778
 
5.1%
군 638
 
4.2%
시 630
 
4.1%
사 419
 
2.7%
지 358
 
2.3%
전 291
 
1.9%
공 280
 
1.8%
대 276
 
1.8%
자 246
 
1.6%
천 244
 
1.6%
Other values (347) 11197
72.9%
Decimal Number
ValueCountFrequency (%)
2 155
24.7%
6 139
22.1%
5 134
21.3%
1 76
12.1%
3 36
 
5.7%
8 28
 
4.5%
7 23
 
3.7%
9 16
 
2.5%
0 15
 
2.4%
4 6
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
20.0%
U 1
20.0%
D 1
20.0%
T 1
20.0%
K 1
20.0%
Other Punctuation
ValueCountFrequency (%)
. 101
79.5%
, 15
 
11.8%
· 9
 
7.1%
: 2
 
1.6%
Space Separator
ValueCountFrequency (%)
785
100.0%
Close Punctuation
ValueCountFrequency (%)
) 179
100.0%
Open Punctuation
ValueCountFrequency (%)
( 175
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15357
89.0%
Common 1897
 
11.0%
Latin 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 778
 
5.1%
군 638
 
4.2%
시 630
 
4.1%
사 419
 
2.7%
지 358
 
2.3%
전 291
 
1.9%
공 280
 
1.8%
대 276
 
1.8%
자 246
 
1.6%
천 244
 
1.6%
Other values (347) 11197
72.9%
Common
ValueCountFrequency (%)
785
41.4%
) 179
 
9.4%
( 175
 
9.2%
2 155
 
8.2%
6 139
 
7.3%
5 134
 
7.1%
. 101
 
5.3%
1 76
 
4.0%
3 36
 
1.9%
8 28
 
1.5%
Other values (8) 89
 
4.7%
Latin
ValueCountFrequency (%)
S 1
20.0%
U 1
20.0%
D 1
20.0%
T 1
20.0%
K 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15353
89.0%
ASCII 1893
 
11.0%
None 9
 
0.1%
Compat Jamo 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
785
41.5%
) 179
 
9.5%
( 175
 
9.2%
2 155
 
8.2%
6 139
 
7.3%
5 134
 
7.1%
. 101
 
5.3%
1 76
 
4.0%
3 36
 
1.9%
8 28
 
1.5%
Other values (12) 85
 
4.5%
Hangul
ValueCountFrequency (%)
회 778
 
5.1%
군 638
 
4.2%
시 630
 
4.1%
사 419
 
2.7%
지 358
 
2.3%
전 291
 
1.9%
공 280
 
1.8%
대 276
 
1.8%
자 246
 
1.6%
천 244
 
1.6%
Other values (346) 11193
72.9%
None
ValueCountFrequency (%)
· 9
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 4
100.0%

건립시기
Text

MISSING 

Distinct1722
Distinct (%)77.7%
Missing87
Missing (%)3.8%
Memory size18.1 KiB
2024-03-15T02:47:01.474273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length9.9111011
Min length1

Characters and Unicode

Total characters21963
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1444 ?
Unique (%)65.2%

Sample

1st row2017-10-19
2nd row2002-01-01
3rd row2015-12-02
4th row2016-12-16
5th row2018-06-05
ValueCountFrequency (%)
2000-01-01 10
 
0.5%
1991-01-01 10
 
0.5%
2001-01-01 8
 
0.4%
1992-01-01 8
 
0.4%
2002-11-01 8
 
0.4%
1995-08-15 8
 
0.4%
1989-01-01 7
 
0.3%
2001-06-25 7
 
0.3%
1998-01-01 7
 
0.3%
1957-01-01 7
 
0.3%
Other values (1710) 2114
96.4%
2024-03-15T02:47:03.060458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4749
21.6%
- 4387
20.0%
1 4324
19.7%
9 2164
9.9%
2 1970
9.0%
5 936
 
4.3%
6 892
 
4.1%
8 767
 
3.5%
3 651
 
3.0%
7 627
 
2.9%
Other values (2) 496
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17544
79.9%
Dash Punctuation 4387
 
20.0%
Space Separator 32
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4749
27.1%
1 4324
24.6%
9 2164
12.3%
2 1970
11.2%
5 936
 
5.3%
6 892
 
5.1%
8 767
 
4.4%
3 651
 
3.7%
7 627
 
3.6%
4 464
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 4387
100.0%
Space Separator
ValueCountFrequency (%)
32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 21963
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4749
21.6%
- 4387
20.0%
1 4324
19.7%
9 2164
9.9%
2 1970
9.0%
5 936
 
4.3%
6 892
 
4.1%
8 767
 
3.5%
3 651
 
3.0%
7 627
 
2.9%
Other values (2) 496
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21963
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4749
21.6%
- 4387
20.0%
1 4324
19.7%
9 2164
9.9%
2 1970
9.0%
5 936
 
4.3%
6 892
 
4.1%
8 767
 
3.5%
3 651
 
3.0%
7 627
 
2.9%
Other values (2) 496
 
2.3%

관할 관서
Categorical

Distinct27
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
경기북부보훈지청
 
157
강원서부보훈지청
 
140
대구지방보훈청
 
133
경남서부보훈지청
 
125
경북북부보훈지청
 
119
Other values (22)
1629 

Length

Max length8
Median length8
Mean length7.6361268
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row강원서부보훈지청
2nd row충북남부보훈지청
3rd row대구지방보훈청
4th row대구지방보훈청
5th row전남동부보훈지청

Common Values

ValueCountFrequency (%)
경기북부보훈지청 157
 
6.8%
강원서부보훈지청 140
 
6.1%
대구지방보훈청 133
 
5.8%
경남서부보훈지청 125
 
5.4%
경북북부보훈지청 119
 
5.2%
경남동부보훈지청 119
 
5.2%
전북동부보훈지청 117
 
5.1%
전남동부보훈지청 104
 
4.5%
전북서부보훈지청 102
 
4.4%
경북남부보훈지청 101
 
4.4%
Other values (17) 1086
47.2%

Length

2024-03-15T02:47:03.505228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기북부보훈지청 157
 
6.8%
강원서부보훈지청 140
 
6.1%
대구지방보훈청 133
 
5.8%
경남서부보훈지청 125
 
5.4%
경북북부보훈지청 119
 
5.2%
경남동부보훈지청 119
 
5.2%
전북동부보훈지청 117
 
5.1%
전남동부보훈지청 104
 
4.5%
전북서부보훈지청 102
 
4.4%
경북남부보훈지청 101
 
4.4%
Other values (17) 1086
47.2%

Interactions

2024-03-15T02:46:35.930661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:46:35.396044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:46:36.197024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:46:35.655867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T02:47:03.753450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분사건연도주제분류시설종류관할 관서
연번1.0000.3170.3950.3520.3310.593
구분0.3171.0000.8181.0000.5110.334
사건연도0.3950.8181.0000.8320.4140.336
주제분류0.3521.0000.8321.0000.4250.409
시설종류0.3310.5110.4140.4251.0000.406
관할 관서0.5930.3340.3360.4090.4061.000
2024-03-15T02:47:04.029882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분시설종류주제분류관할 관서
구분1.0000.3980.9960.286
시설종류0.3981.0000.1590.145
주제분류0.9960.1591.0000.120
관할 관서0.2860.1450.1201.000
2024-03-15T02:47:04.294403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번사건연도구분주제분류시설종류관할 관서
연번1.0000.1190.2430.1180.1450.258
사건연도0.1191.0000.9430.5540.2200.151
구분0.2430.9431.0000.9960.3980.286
주제분류0.1180.5540.9961.0000.1590.120
시설종류0.1450.2200.3980.1591.0000.145
관할 관서0.2580.1510.2860.1200.1451.000

Missing values

2024-03-15T02:46:36.689083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T02:46:37.319968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-03-15T02:46:37.723262image/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

연번구분명칭관리번호지정일자사건연도주제분류주소상세주소시설종류시설 소유자시설 관리자건립시기관할 관서
01국가수호전사경찰추모비16-2-1042018-08-0819506·25전쟁강원도 인제군남면 관대리 193-28(38공원 일대)비석인제경찰서인제경찰서2017-10-19강원서부보훈지청
12독립운동단재영당(기념관)2025-01-072002-11-021880문화운동충청북도 청주시 상당구낭성면 귀래리 304기념관청주시청주시2002-01-01충북남부보훈지청
23독립운동고령군 국채보상운동기념비30-1-732018-08-081907문화운동경상북도 고령군대가야읍 향교길 29-18(연고공원 내)비석경북 고령군경북 고령군2015-12-02대구지방보훈청
34독립운동상주시 국채보상운동기념비30-1-742018-08-081907문화운동경상북도 상주시복룡동 230-9(상주시민문화공원 내)비석경북 상주시경북 상주시2016-12-16대구지방보훈청
45국가수호순천시 현충정원55-2-452018-08-0819506·25전쟁전라남도 순천시국가정원 1호길 47(순천만국가정원 내)조형물전남 순천시전남 순천시2018-06-05전남동부보훈지청
56독립운동문용기 열사 동상51-1-602018-08-0819193·1운동전라북도 익산시중앙로 4길 59(주현동 105-7)동상익산시문용기열사동상건립추진위원회2015-05-01전북서부보훈지청
67독립운동근현대사기념관11-1-412018-05-10<NA>독립운동기타서울특별시 강북구4.19로 114기념관강북구청민족문제연구소2016-05-17서울북부보훈지청
78독립운동광복군추모조형물11-1-422018-05-10<NA>해외운동서울특별시 강북구수유동 산 127-1(광복군합동묘소 내)조형물강북구청(사)한국광복군동지회2017-12-13서울북부보훈지청
89독립운동3.1만세운동 기념공원16-1-422018-05-1019193·1운동강원도 화천군화천읍 상리 68-4장소화천군화천군2017-09-05강원서부보훈지청
910독립운동독립운동가 윤현진 선생 흉상1941-01-172018-05-10<NA>임시정부.중국방면경상남도 양산시충렬로 27(교동 춘추공원내)동상양산시양산시2017-12-18울산보훈지청
연번구분명칭관리번호지정일자사건연도주제분류주소상세주소시설종류시설 소유자시설 관리자건립시기관할 관서
22932294독립운동강진읍교회 종탑50-1-572023-12-1219193·1운동전라남도 강진군강진읍 연지길 12, 강진읍교회탑(재)한국기독교장로회총회유지재단한국기독교장로회 강진읍교회<NA>광주지방보훈청
22942295국가수호세종 국가보훈광장2026-02-222023-12-12<NA>국가수호기타세종특별자치시중앙공원로 60(세종 중앙공원 내 위치)공원국가보훈부국가보훈부<NA>충남동부보훈지청
22952296국가수호박진전쟁기념관42-2-722023-12-1219506·25전쟁경상남도 창녕군남지읍 월상길 27기념관창녕군창녕군<NA>경남동부보훈지청
22962297국가수호함안 경찰승전기념공원42-2-732023-12-1219506·25전쟁경상남도 함안군대산면 함의로 1100공원함안군함안군<NA>경남동부보훈지청
22972298국가수호갑종장교 호국공원50-2-532023-12-1219506·25전쟁전라남도 장성군삼서면 학성리 211공원육군보병학교육군보병학교<NA>광주지방보훈청
22982299국가수호참전유공자 기념탑(영광군)53-2-392023-12-12<NA>6·25전쟁 및 월남전쟁전라남도 영광군불갑면 녹산리 198-1탑영광군영광군<NA>전남서부보훈지청
22992300국가수호호국참전기념탑(영광군)53-2-402023-12-121964월남전쟁전라남도 영광군영광읍 남천리 92-1(우산근린공원 내)탑영광군영광군1905-07-08전남서부보훈지청
23002301국가수호성남시 6·25 참전유공자 명비18-2-332023-12-1219506·25전쟁경기도 성남시분당구 수내동 66(분당중앙공원 내)비석성남시성남시2022-11-15경기동부보훈지청
23012302국가수호영도구 월남 참전 유공자 명비40-2-372023-12-121964월남전쟁부산광역시 영도구청학동 73-105비석영도구영도구<NA>부산지방보훈청
23022303국가수호충혼탑(설천면)52-2-752023-12-1219506·25전쟁전라북도 무주군무주군 설천면 무설로 1607탑무주군 설천면무주군 설천면<NA>전북동부보훈지청