Overview

Dataset statistics

Number of variables6
Number of observations4937
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory231.6 KiB
Average record size in memory48.0 B

Variable types

Text4
Categorical2

Dataset

Description삼일운동데이터베이스는 삼일운동 기초 정보를 종합하고 GIS(지리정보체계)와 연동한 데이터베이스로 조선 소요사건 관계 서류, 일본 외무성 기록, 삼일운동 관련 판결문, 재한 선교사 자료 등 삼일운동과 관련한 자료에서 추출한 지역별, 유형별 정보를 제공합니다.
Author교육부 국사편찬위원회
URLhttps://www.data.go.kr/data/15053640/fileData.do

Alerts

제공 has constant value ""Constant
제공일시 has constant value ""Constant

Reproduction

Analysis started2023-12-12 09:23:14.162323
Analysis finished2023-12-12 09:23:15.426079
Duration1.26 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사건 아이디
Text

Distinct2289
Distinct (%)46.4%
Missing0
Missing (%)0.0%
Memory size38.7 KiB
2023-12-12T18:23:15.708049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters34559
Distinct characters26
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

Unique1314 ?
Unique (%)26.6%

Sample

1st rowI_10001
2nd rowI_10002
3rd rowI_10003
4th rowI_10004
5th rowI_10005
ValueCountFrequency (%)
a_00609 103
 
2.1%
x_00000 59
 
1.2%
a_00951 35
 
0.7%
a_00993 34
 
0.7%
a_00616 30
 
0.6%
a_00556 30
 
0.6%
a_00606 27
 
0.5%
b_70111 27
 
0.5%
n_15043 21
 
0.4%
j_90013 21
 
0.4%
Other values (2279) 4550
92.2%
2023-12-12T18:23:16.247609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8400
24.3%
1 4964
14.4%
_ 4937
14.3%
2 2428
 
7.0%
3 1814
 
5.2%
4 1518
 
4.4%
b 1503
 
4.3%
5 1474
 
4.3%
a 1315
 
3.8%
6 1269
 
3.7%
Other values (16) 4937
14.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24682
71.4%
Connector Punctuation 4937
 
14.3%
Lowercase Letter 3492
 
10.1%
Uppercase Letter 1448
 
4.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
b 1503
43.0%
a 1315
37.7%
h 447
 
12.8%
j 119
 
3.4%
x 59
 
1.7%
f 35
 
1.0%
i 7
 
0.2%
m 3
 
0.1%
k 2
 
0.1%
c 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
0 8400
34.0%
1 4964
20.1%
2 2428
 
9.8%
3 1814
 
7.3%
4 1518
 
6.2%
5 1474
 
6.0%
6 1269
 
5.1%
7 1112
 
4.5%
9 991
 
4.0%
8 712
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
N 1088
75.1%
M 285
 
19.7%
J 55
 
3.8%
I 20
 
1.4%
Connector Punctuation
ValueCountFrequency (%)
_ 4937
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 29619
85.7%
Latin 4940
 
14.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
b 1503
30.4%
a 1315
26.6%
N 1088
22.0%
h 447
 
9.0%
M 285
 
5.8%
j 119
 
2.4%
x 59
 
1.2%
J 55
 
1.1%
f 35
 
0.7%
I 20
 
0.4%
Other values (5) 14
 
0.3%
Common
ValueCountFrequency (%)
0 8400
28.4%
1 4964
16.8%
_ 4937
16.7%
2 2428
 
8.2%
3 1814
 
6.1%
4 1518
 
5.1%
5 1474
 
5.0%
6 1269
 
4.3%
7 1112
 
3.8%
9 991
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 34559
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8400
24.3%
1 4964
14.4%
_ 4937
14.3%
2 2428
 
7.0%
3 1814
 
5.2%
4 1518
 
4.4%
b 1503
 
4.3%
5 1474
 
4.3%
a 1315
 
3.8%
6 1269
 
3.7%
Other values (16) 4937
14.3%

사건명
Text

Distinct2284
Distinct (%)46.3%
Missing0
Missing (%)0.0%
Memory size38.7 KiB
2023-12-12T18:23:16.669413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length45
Mean length24.012356
Min length10

Characters and Unicode

Total characters118549
Distinct characters478
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

Unique1308 ?
Unique (%)26.5%

Sample

1st row3월 8일경~3월 24일 평북 정주군 갈산면 오산학교(五山學校) 휴교
2nd row3월 13일 평북 운산군 북진면 시위 계획
3rd row3월 12일 함북 성진 학동면 시위
4th row3월 13일 함북 성진 학동면 시위
5th row3월 14일 함북 성진 학동면 시위
ValueCountFrequency (%)
시위 3190
 
9.3%
3월 3095
 
9.0%
4월 1547
 
4.5%
경기 870
 
2.5%
만세시위 633
 
1.9%
황해도 500
 
1.5%
1일 436
 
1.3%
배포 411
 
1.2%
경북 368
 
1.1%
평북 349
 
1.0%
Other values (2487) 22815
66.7%
2023-12-12T18:23:17.264024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29628
25.0%
월 5166
 
4.4%
일 5118
 
4.3%
시 4934
 
4.2%
3 4187
 
3.5%
위 4169
 
3.5%
면 3709
 
3.1%
군 3066
 
2.6%
1 2256
 
1.9%
경 2164
 
1.8%
Other values (468) 54152
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 75217
63.4%
Space Separator 29628
 
25.0%
Decimal Number 12824
 
10.8%
Math Symbol 380
 
0.3%
Other Punctuation 174
 
0.1%
Open Punctuation 86
 
0.1%
Close Punctuation 86
 
0.1%
Initial Punctuation 74
 
0.1%
Final Punctuation 74
 
0.1%
Dash Punctuation 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
월 5166
 
6.9%
일 5118
 
6.8%
시 4934
 
6.6%
위 4169
 
5.5%
면 3709
 
4.9%
군 3066
 
4.1%
경 2164
 
2.9%
남 1703
 
2.3%
북 1523
 
2.0%
성 1232
 
1.6%
Other values (445) 42433
56.4%
Decimal Number
ValueCountFrequency (%)
3 4187
32.6%
1 2256
17.6%
4 2043
15.9%
2 1740
13.6%
8 568
 
4.4%
5 461
 
3.6%
6 406
 
3.2%
7 400
 
3.1%
0 387
 
3.0%
9 376
 
2.9%
Other Punctuation
ValueCountFrequency (%)
, 154
88.5%
; 12
 
6.9%
· 4
 
2.3%
. 4
 
2.3%
Math Symbol
ValueCountFrequency (%)
~ 378
99.5%
> 1
 
0.3%
< 1
 
0.3%
Space Separator
ValueCountFrequency (%)
29628
100.0%
Open Punctuation
ValueCountFrequency (%)
( 86
100.0%
Close Punctuation
ValueCountFrequency (%)
) 86
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 74
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 74
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 74984
63.3%
Common 43332
36.6%
Han 233
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
월 5166
 
6.9%
일 5118
 
6.8%
시 4934
 
6.6%
위 4169
 
5.6%
면 3709
 
4.9%
군 3066
 
4.1%
경 2164
 
2.9%
남 1703
 
2.3%
북 1523
 
2.0%
성 1232
 
1.6%
Other values (383) 42200
56.3%
Han
ValueCountFrequency (%)
市 26
 
11.2%
洞 24
 
10.3%
新 9
 
3.9%
南 8
 
3.4%
大 7
 
3.0%
校 7
 
3.0%
學 7
 
3.0%
通 6
 
2.6%
館 6
 
2.6%
楊 5
 
2.1%
Other values (52) 128
54.9%
Common
ValueCountFrequency (%)
29628
68.4%
3 4187
 
9.7%
1 2256
 
5.2%
4 2043
 
4.7%
2 1740
 
4.0%
8 568
 
1.3%
5 461
 
1.1%
6 406
 
0.9%
7 400
 
0.9%
0 387
 
0.9%
Other values (13) 1256
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 74984
63.3%
ASCII 43180
36.4%
CJK 233
 
0.2%
Punctuation 148
 
0.1%
None 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
29628
68.6%
3 4187
 
9.7%
1 2256
 
5.2%
4 2043
 
4.7%
2 1740
 
4.0%
8 568
 
1.3%
5 461
 
1.1%
6 406
 
0.9%
7 400
 
0.9%
0 387
 
0.9%
Other values (10) 1104
 
2.6%
Hangul
ValueCountFrequency (%)
월 5166
 
6.9%
일 5118
 
6.8%
시 4934
 
6.6%
위 4169
 
5.6%
면 3709
 
4.9%
군 3066
 
4.1%
경 2164
 
2.9%
남 1703
 
2.3%
북 1523
 
2.0%
성 1232
 
1.6%
Other values (383) 42200
56.3%
Punctuation
ValueCountFrequency (%)
‘ 74
50.0%
’ 74
50.0%
CJK
ValueCountFrequency (%)
市 26
 
11.2%
洞 24
 
10.3%
新 9
 
3.9%
南 8
 
3.4%
大 7
 
3.0%
校 7
 
3.0%
學 7
 
3.0%
通 6
 
2.6%
館 6
 
2.6%
楊 5
 
2.1%
Other values (52) 128
54.9%
None
ValueCountFrequency (%)
· 4
100.0%

세부장소 아이디
Text

Distinct3671
Distinct (%)74.4%
Missing0
Missing (%)0.0%
Memory size38.7 KiB
2023-12-12T18:23:17.616071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length8
Mean length8.3810006
Min length5

Characters and Unicode

Total characters41377
Distinct characters30
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

Unique2869 ?
Unique (%)58.1%

Sample

1st rowNEW_7432
2nd rowNEW_R7059
3rd rowNEW_R6035
4th rowNEW_R6035
5th rowNEW_6324
ValueCountFrequency (%)
new_7146 16
 
0.3%
new_n1098 15
 
0.3%
new_9045 14
 
0.3%
new_9017 11
 
0.2%
new_n9095 10
 
0.2%
new_7326 9
 
0.2%
new_9049 8
 
0.2%
new_9082 8
 
0.2%
new_n9039 8
 
0.2%
new_8445 8
 
0.2%
Other values (3661) 4830
97.8%
2023-12-12T18:23:18.139348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 5657
13.7%
_ 5005
12.1%
E 4308
10.4%
W 4302
10.4%
0 3467
8.4%
1 3169
7.7%
2 2381
 
5.8%
4 2083
 
5.0%
3 1838
 
4.4%
7 1531
 
3.7%
Other values (20) 7636
18.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19884
48.1%
Uppercase Letter 16488
39.8%
Connector Punctuation 5005
 
12.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
N 5657
34.3%
E 4308
26.1%
W 4302
26.1%
M 544
 
3.3%
R 444
 
2.7%
H 344
 
2.1%
K 339
 
2.1%
P 325
 
2.0%
A 50
 
0.3%
I 31
 
0.2%
Other values (9) 144
 
0.9%
Decimal Number
ValueCountFrequency (%)
0 3467
17.4%
1 3169
15.9%
2 2381
12.0%
4 2083
10.5%
3 1838
9.2%
7 1531
7.7%
6 1426
7.2%
5 1401
7.0%
8 1315
 
6.6%
9 1273
 
6.4%
Connector Punctuation
ValueCountFrequency (%)
_ 5005
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24889
60.2%
Latin 16488
39.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 5657
34.3%
E 4308
26.1%
W 4302
26.1%
M 544
 
3.3%
R 444
 
2.7%
H 344
 
2.1%
K 339
 
2.1%
P 325
 
2.0%
A 50
 
0.3%
I 31
 
0.2%
Other values (9) 144
 
0.9%
Common
ValueCountFrequency (%)
_ 5005
20.1%
0 3467
13.9%
1 3169
12.7%
2 2381
9.6%
4 2083
8.4%
3 1838
 
7.4%
7 1531
 
6.2%
6 1426
 
5.7%
5 1401
 
5.6%
8 1315
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 41377
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 5657
13.7%
_ 5005
12.1%
E 4308
10.4%
W 4302
10.4%
0 3467
8.4%
1 3169
7.7%
2 2381
 
5.8%
4 2083
 
5.0%
3 1838
 
4.4%
7 1531
 
3.7%
Other values (20) 7636
18.5%

세부장소명
Text

Distinct3507
Distinct (%)71.0%
Missing0
Missing (%)0.0%
Memory size38.7 KiB
2023-12-12T18:23:18.430176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length22
Mean length4.5098238
Min length2

Characters and Unicode

Total characters22265
Distinct characters1176
Distinct categories10 ?
Distinct scripts5 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2641 ?
Unique (%)53.5%

Sample

1st row五山學校
2nd row北鎭面
3rd row鶴東面
4th row鶴東面
5th row荷川
ValueCountFrequency (%)
집 60
 
1.0%
市場 38
 
0.7%
天道敎區室 27
 
0.5%
邑內里 24
 
0.4%
鍾路 24
 
0.4%
京城 23
 
0.4%
耶蘇敎會堂 20
 
0.3%
平壤 19
 
0.3%
附近 19
 
0.3%
부근 17
 
0.3%
Other values (3626) 5454
95.3%
2023-12-12T18:23:18.932291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
里 1509
 
6.8%
809
 
3.6%
面 623
 
2.8%
洞 555
 
2.5%
所 554
 
2.5%
山 448
 
2.0%
內 441
 
2.0%
場 430
 
1.9%
邑 413
 
1.9%
市 396
 
1.8%
Other values (1166) 16087
72.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21253
95.5%
Space Separator 809
 
3.6%
Close Punctuation 55
 
0.2%
Open Punctuation 55
 
0.2%
Decimal Number 48
 
0.2%
Other Punctuation 28
 
0.1%
Lowercase Letter 14
 
0.1%
Uppercase Letter 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
里 1509
 
7.1%
面 623
 
2.9%
洞 555
 
2.6%
所 554
 
2.6%
山 448
 
2.1%
內 441
 
2.1%
場 430
 
2.0%
邑 413
 
1.9%
市 396
 
1.9%
川 324
 
1.5%
Other values (1139) 15560
73.2%
Lowercase Letter
ValueCountFrequency (%)
l 2
14.3%
i 2
14.3%
h 2
14.3%
e 2
14.3%
n 1
7.1%
a 1
7.1%
r 1
7.1%
y 1
7.1%
t 1
7.1%
m 1
7.1%
Decimal Number
ValueCountFrequency (%)
1 21
43.8%
2 11
22.9%
3 7
 
14.6%
5 4
 
8.3%
4 4
 
8.3%
6 1
 
2.1%
Other Punctuation
ValueCountFrequency (%)
? 26
92.9%
, 1
 
3.6%
· 1
 
3.6%
Close Punctuation
ValueCountFrequency (%)
) 34
61.8%
] 21
38.2%
Open Punctuation
ValueCountFrequency (%)
( 34
61.8%
[ 21
38.2%
Space Separator
ValueCountFrequency (%)
809
100.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Math Symbol
ValueCountFrequency (%)
⊙ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Han 20901
93.9%
Common 997
 
4.5%
Hangul 343
 
1.5%
Latin 15
 
0.1%
Katakana 9
 
< 0.1%

Most frequent character per script

Han
ValueCountFrequency (%)
里 1509
 
7.2%
面 623
 
3.0%
洞 555
 
2.7%
所 554
 
2.7%
山 448
 
2.1%
內 441
 
2.1%
場 430
 
2.1%
邑 413
 
2.0%
市 396
 
1.9%
川 324
 
1.6%
Other values (1032) 15208
72.8%
Hangul
ValueCountFrequency (%)
집 63
18.4%
부 28
 
8.2%
근 26
 
7.6%
앞 20
 
5.8%
공 9
 
2.6%
산 9
 
2.6%
탑 8
 
2.3%
골 8
 
2.3%
원 8
 
2.3%
뒷 7
 
2.0%
Other values (89) 157
45.8%
Common
ValueCountFrequency (%)
809
81.1%
) 34
 
3.4%
( 34
 
3.4%
? 26
 
2.6%
[ 21
 
2.1%
] 21
 
2.1%
1 21
 
2.1%
2 11
 
1.1%
3 7
 
0.7%
5 4
 
0.4%
Other values (6) 9
 
0.9%
Latin
ValueCountFrequency (%)
l 2
13.3%
i 2
13.3%
h 2
13.3%
e 2
13.3%
n 1
6.7%
a 1
6.7%
r 1
6.7%
y 1
6.7%
S 1
6.7%
t 1
6.7%
Katakana
ValueCountFrequency (%)
ン 2
22.2%
ョ 1
11.1%
キ 1
11.1%
ラ 1
11.1%
テ 1
11.1%
ビ 1
11.1%
ッ 1
11.1%
カ 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
CJK 20901
93.9%
ASCII 1010
 
4.5%
Hangul 343
 
1.5%
Katakana 9
 
< 0.1%
None 1
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

CJK
ValueCountFrequency (%)
里 1509
 
7.2%
面 623
 
3.0%
洞 555
 
2.7%
所 554
 
2.7%
山 448
 
2.1%
內 441
 
2.1%
場 430
 
2.1%
邑 413
 
2.0%
市 396
 
1.9%
川 324
 
1.6%
Other values (1032) 15208
72.8%
ASCII
ValueCountFrequency (%)
809
80.1%
) 34
 
3.4%
( 34
 
3.4%
? 26
 
2.6%
[ 21
 
2.1%
] 21
 
2.1%
1 21
 
2.1%
2 11
 
1.1%
3 7
 
0.7%
5 4
 
0.4%
Other values (15) 22
 
2.2%
Hangul
ValueCountFrequency (%)
집 63
18.4%
부 28
 
8.2%
근 26
 
7.6%
앞 20
 
5.8%
공 9
 
2.6%
산 9
 
2.6%
탑 8
 
2.3%
골 8
 
2.3%
원 8
 
2.3%
뒷 7
 
2.0%
Other values (89) 157
45.8%
Katakana
ValueCountFrequency (%)
ン 2
22.2%
ョ 1
11.1%
キ 1
11.1%
ラ 1
11.1%
テ 1
11.1%
ビ 1
11.1%
ッ 1
11.1%
カ 1
11.1%
None
ValueCountFrequency (%)
· 1
100.0%
Math Operators
ValueCountFrequency (%)
⊙ 1
100.0%

제공
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size38.7 KiB
국사편찬위원회
4937 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국사편찬위원회 4937
100.0%

Length

2023-12-12T18:23:19.112838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:23:19.244247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국사편찬위원회 4937
100.0%

제공일시
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size38.7 KiB
2019-02-26
4937 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019-02-26
2nd row2019-02-26
3rd row2019-02-26
4th row2019-02-26
5th row2019-02-26

Common Values

ValueCountFrequency (%)
2019-02-26 4937
100.0%

Length

2023-12-12T18:23:19.371399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:23:19.490760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019-02-26 4937
100.0%

Missing values

2023-12-12T18:23:15.213883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:23:15.373717image/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.

Sample

사건 아이디사건명세부장소 아이디세부장소명제공제공일시
0I_100013월 8일경~3월 24일 평북 정주군 갈산면 오산학교(五山學校) 휴교NEW_7432五山學校국사편찬위원회2019-02-26
1I_100023월 13일 평북 운산군 북진면 시위 계획NEW_R7059北鎭面국사편찬위원회2019-02-26
2I_100033월 12일 함북 성진 학동면 시위NEW_R6035鶴東面국사편찬위원회2019-02-26
3I_100043월 13일 함북 성진 학동면 시위NEW_R6035鶴東面국사편찬위원회2019-02-26
4I_100053월 14일 함북 성진 학동면 시위NEW_6324荷川국사편찬위원회2019-02-26
5I_100073월 12일 함북 성진 학상면 시위NEW_R6001松興洞국사편찬위원회2019-02-26
6I_100084월 7일 황해도 해주군 동운면 야간시위NEW_8411蔘井국사편찬위원회2019-02-26
7I_100084월 7일 황해도 해주군 동운면 야간시위PHM01_01蔘井警察官駐在所국사편찬위원회2019-02-26
8I_100117월 2일 황해도 재령군 재령면 일장기 훼손NEW_N8159載寧邑內 自動車停留所국사편찬위원회2019-02-26
9I_100128월 초 평북 영변군 북신현면 보현사(普賢寺) 격문NEW_R7060北薪峴面국사편찬위원회2019-02-26
사건 아이디사건명세부장소 아이디세부장소명제공제공일시
4927x_000001월~2월 경성을 중심으로 한 독립선언 준비NEW_N9308觀水洞 大觀園국사편찬위원회2019-02-26
4928x_000001월~2월 경성을 중심으로 한 독립선언 준비NEW_N9317康基德 집국사편찬위원회2019-02-26
4929x_000001월~2월 경성을 중심으로 한 독립선언 준비NEW_N9386京畿道 開城郡 松都面국사편찬위원회2019-02-26
4930x_000001월~2월 경성을 중심으로 한 독립선언 준비NEW_N9388中央禮拜堂국사편찬위원회2019-02-26
4931x_000001월~2월 경성을 중심으로 한 독립선언 준비NEW_N9389咸鏡南道 元山府국사편찬위원회2019-02-26
4932x_000001월~2월 경성을 중심으로 한 독립선언 준비NEW_N9393樂園洞국사편찬위원회2019-02-26
4933x_000001월~2월 경성을 중심으로 한 독립선언 준비NEW_N9575水下洞 普通學校 小使室국사편찬위원회2019-02-26
4934x_000001월~2월 경성을 중심으로 한 독립선언 준비NEW_N9586水原郡국사편찬위원회2019-02-26
4935x_000001월~2월 경성을 중심으로 한 독립선언 준비NEW_N9587利川郡국사편찬위원회2019-02-26
4936x_000001월~2월 경성을 중심으로 한 독립선언 준비NEW_N9588忠淸南道국사편찬위원회2019-02-26