Overview

Dataset statistics

Number of variables18
Number of observations10000
Missing cells13
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 MiB
Average record size in memory154.0 B

Variable types

Numeric1
Categorical9
Text7
Boolean1

Dataset

Description충청남도 당진시 사진필름 메타데이터 입니다. ( 순번,관리번호,파일이름,등록번호,건ID,철제목,건제목,생산기관,생산일자,종료일자,분류번호,형태,유형,보존기간,서비스대상,서고정보,비고,기타사항 ) (데이터기준일자 : 2023-1-16)
Author충청남도 당진시
URLhttps://www.data.go.kr/data/15110662/fileData.do

Alerts

생산기관 has constant value ""Constant
분류번호 has constant value ""Constant
형태 has constant value ""Constant
유형 has constant value ""Constant
보존기간 has constant value ""Constant
서고정보 has constant value ""Constant
비고 is highly overall correlated with 서비스대상 and 1 other fieldsHigh correlation
서비스대상 is highly overall correlated with 비고 and 1 other fieldsHigh correlation
관리번호 is highly overall correlated with 순번 and 1 other fieldsHigh correlation
기타사항 is highly overall correlated with 순번 and 3 other fieldsHigh correlation
순번 is highly overall correlated with 관리번호 and 1 other fieldsHigh correlation
서비스대상 is highly imbalanced (92.5%)Imbalance
비고 is highly imbalanced (94.0%)Imbalance
순번 has unique valuesUnique
파일이름 has unique valuesUnique
등록번호 has unique valuesUnique
건아이디(ID) has unique valuesUnique

Reproduction

Analysis started2024-04-17 17:47:30.917263
Analysis finished2024-04-17 17:47:32.957213
Duration2.04 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22518.39
Minimum6
Maximum44871
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T02:47:33.012268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile2386.75
Q111227.75
median22718
Q333648.5
95-th percentile42744.1
Maximum44871
Range44865
Interquartile range (IQR)22420.75

Descriptive statistics

Standard deviation12961.606
Coefficient of variation (CV)0.57560092
Kurtosis-1.200837
Mean22518.39
Median Absolute Deviation (MAD)11219.5
Skewness-0.0073794971
Sum2.251839 × 108
Variance1.6800323 × 108
MonotonicityNot monotonic
2024-04-18T02:47:33.110017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18733 1
 
< 0.1%
35010 1
 
< 0.1%
22387 1
 
< 0.1%
27733 1
 
< 0.1%
30613 1
 
< 0.1%
18658 1
 
< 0.1%
1793 1
 
< 0.1%
13638 1
 
< 0.1%
40497 1
 
< 0.1%
16033 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
6 1
< 0.1%
17 1
< 0.1%
18 1
< 0.1%
22 1
< 0.1%
25 1
< 0.1%
26 1
< 0.1%
31 1
< 0.1%
32 1
< 0.1%
34 1
< 0.1%
37 1
< 0.1%
ValueCountFrequency (%)
44871 1
< 0.1%
44868 1
< 0.1%
44865 1
< 0.1%
44863 1
< 0.1%
44859 1
< 0.1%
44856 1
< 0.1%
44844 1
< 0.1%
44841 1
< 0.1%
44838 1
< 0.1%
44835 1
< 0.1%

관리번호
Categorical

HIGH CORRELATION 

Distinct26
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
4-45
 
676
04월 29일
 
662
4-54
 
636
4-53
 
533
04월 03일
 
482
Other values (21)
7011 

Length

Max length7
Median length7
Mean length5.8204
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row04월 25일
2nd row4-46
3rd row4-50
4th row4-46
5th row04월 07일

Common Values

ValueCountFrequency (%)
4-45 676
 
6.8%
04월 29일 662
 
6.6%
4-54 636
 
6.4%
4-53 533
 
5.3%
04월 03일 482
 
4.8%
04월 25일 476
 
4.8%
04월 30일 438
 
4.4%
04월 07일 437
 
4.4%
4-46 434
 
4.3%
04월 27일 420
 
4.2%
Other values (16) 4806
48.1%

Length

2024-04-18T02:47:33.206442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
04월 6068
37.8%
4-45 676
 
4.2%
29일 662
 
4.1%
4-54 636
 
4.0%
4-53 533
 
3.3%
03일 482
 
3.0%
25일 476
 
3.0%
30일 438
 
2.7%
07일 437
 
2.7%
4-46 434
 
2.7%
Other values (17) 5226
32.5%

파일이름
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-18T02:47:33.374868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length21.7198
Min length21

Characters and Unicode

Total characters217198
Distinct characters20
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10000 ?
Unique (%)100.0%

Sample

1st rowC136_4-25_021_0014.JPG
2nd rowC136_4-46_043_0019.JPG
3rd rowC136_4-50_009_0011.JPG
4th rowC136_4-46_022_0029.JPG
5th rowC136_4-7_092_0005.JPG
ValueCountFrequency (%)
c136_4-25_021_0014.jpg 1
 
< 0.1%
c136_4-10_043_0010.jpg 1
 
< 0.1%
c136_4-3_003_0025.jpg 1
 
< 0.1%
c136_4-46_005_0002.jpg 1
 
< 0.1%
c136_4-27_066_0010.jpg 1
 
< 0.1%
c136_4-41_011_0005.jpg 1
 
< 0.1%
c136_4-45_044_0009.jpg 1
 
< 0.1%
c136_4-25_018_0018.jpg 1
 
< 0.1%
c136_4-2_004_0003.jpg 1
 
< 0.1%
c136_4-47_031_0018.jpg 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-04-18T02:47:33.648868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 37347
17.2%
_ 30000
13.8%
1 19634
9.0%
4 17102
 
7.9%
3 15422
 
7.1%
6 13744
 
6.3%
C 10000
 
4.6%
. 10000
 
4.6%
- 10000
 
4.6%
J 9415
 
4.3%
Other values (10) 44534
20.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 127198
58.6%
Uppercase Letter 38245
 
17.6%
Connector Punctuation 30000
 
13.8%
Other Punctuation 10000
 
4.6%
Dash Punctuation 10000
 
4.6%
Lowercase Letter 1755
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 37347
29.4%
1 19634
15.4%
4 17102
13.4%
3 15422
12.1%
6 13744
 
10.8%
2 7859
 
6.2%
5 6319
 
5.0%
7 3916
 
3.1%
9 3078
 
2.4%
8 2777
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
C 10000
26.1%
J 9415
24.6%
P 9415
24.6%
G 9415
24.6%
Lowercase Letter
ValueCountFrequency (%)
j 585
33.3%
p 585
33.3%
g 585
33.3%
Connector Punctuation
ValueCountFrequency (%)
_ 30000
100.0%
Other Punctuation
ValueCountFrequency (%)
. 10000
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 177198
81.6%
Latin 40000
 
18.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 37347
21.1%
_ 30000
16.9%
1 19634
11.1%
4 17102
9.7%
3 15422
8.7%
6 13744
 
7.8%
. 10000
 
5.6%
- 10000
 
5.6%
2 7859
 
4.4%
5 6319
 
3.6%
Other values (3) 9771
 
5.5%
Latin
ValueCountFrequency (%)
C 10000
25.0%
J 9415
23.5%
P 9415
23.5%
G 9415
23.5%
j 585
 
1.5%
p 585
 
1.5%
g 585
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 217198
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 37347
17.2%
_ 30000
13.8%
1 19634
9.0%
4 17102
 
7.9%
3 15422
 
7.1%
6 13744
 
6.3%
C 10000
 
4.6%
. 10000
 
4.6%
- 10000
 
4.6%
J 9415
 
4.3%
Other values (10) 44534
20.5%

등록번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-18T02:47:33.854621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters120000
Distinct characters13
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

Unique10000 ?
Unique (%)100.0%

Sample

1st rowC136_P018733
2nd rowC136_P033339
3rd rowC136_P037206
4th rowC136_P032773
5th rowC136_P009739
ValueCountFrequency (%)
c136_p018733 1
 
< 0.1%
c136_p013638 1
 
< 0.1%
c136_p002559 1
 
< 0.1%
c136_p032279 1
 
< 0.1%
c136_p022387 1
 
< 0.1%
c136_p027733 1
 
< 0.1%
c136_p030613 1
 
< 0.1%
c136_p018658 1
 
< 0.1%
c136_p001793 1
 
< 0.1%
c136_p035010 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-04-18T02:47:34.151091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 16309
13.6%
1 16300
13.6%
0 16295
13.6%
6 13854
11.5%
C 10000
8.3%
_ 10000
8.3%
P 10000
8.3%
2 6492
 
5.4%
4 5157
 
4.3%
5 3915
 
3.3%
Other values (3) 11678
9.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 90000
75.0%
Uppercase Letter 20000
 
16.7%
Connector Punctuation 10000
 
8.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 16309
18.1%
1 16300
18.1%
0 16295
18.1%
6 13854
15.4%
2 6492
 
7.2%
4 5157
 
5.7%
5 3915
 
4.3%
9 3901
 
4.3%
7 3891
 
4.3%
8 3886
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
C 10000
50.0%
P 10000
50.0%
Connector Punctuation
ValueCountFrequency (%)
_ 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 100000
83.3%
Latin 20000
 
16.7%

Most frequent character per script

Common
ValueCountFrequency (%)
3 16309
16.3%
1 16300
16.3%
0 16295
16.3%
6 13854
13.9%
_ 10000
10.0%
2 6492
 
6.5%
4 5157
 
5.2%
5 3915
 
3.9%
9 3901
 
3.9%
7 3891
 
3.9%
Latin
ValueCountFrequency (%)
C 10000
50.0%
P 10000
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 120000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 16309
13.6%
1 16300
13.6%
0 16295
13.6%
6 13854
11.5%
C 10000
8.3%
_ 10000
8.3%
P 10000
8.3%
2 6492
 
5.4%
4 5157
 
4.3%
5 3915
 
3.3%
Other values (3) 11678
9.7%

건아이디(ID)
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-18T02:47:34.330681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length27
Mean length27
Min length27

Characters and Unicode

Total characters270000
Distinct characters13
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

Unique10000 ?
Unique (%)100.0%

Sample

1st rowC136-2022_004-0025_021_0014
2nd rowC136-2022_004-0046_043_0019
3rd rowC136-2022_004-0050_009_0011
4th rowC136-2022_004-0046_022_0029
5th rowC136-2022_004-0007_092_0005
ValueCountFrequency (%)
c136-2022_004-0025_021_0014 1
 
< 0.1%
c136-2022_004-0010_043_0010 1
 
< 0.1%
c136-2022_004-0003_003_0025 1
 
< 0.1%
c136-2022_004-0046_005_0002 1
 
< 0.1%
c136-2022_004-0027_066_0010 1
 
< 0.1%
c136-2022_004-0041_011_0005 1
 
< 0.1%
c136-2022_004-0045_044_0009 1
 
< 0.1%
c136-2022_004-0025_018_0018 1
 
< 0.1%
c136-2022_004-0002_004_0003 1
 
< 0.1%
c136-2022_004-0047_031_0018 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-04-18T02:47:34.596180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 90148
33.4%
2 37859
14.0%
_ 30000
 
11.1%
- 20000
 
7.4%
1 19635
 
7.3%
4 17103
 
6.3%
3 15421
 
5.7%
6 13744
 
5.1%
C 10000
 
3.7%
5 6319
 
2.3%
Other values (3) 9771
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 210000
77.8%
Connector Punctuation 30000
 
11.1%
Dash Punctuation 20000
 
7.4%
Uppercase Letter 10000
 
3.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 90148
42.9%
2 37859
18.0%
1 19635
 
9.3%
4 17103
 
8.1%
3 15421
 
7.3%
6 13744
 
6.5%
5 6319
 
3.0%
7 3916
 
1.9%
9 3078
 
1.5%
8 2777
 
1.3%
Connector Punctuation
ValueCountFrequency (%)
_ 30000
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20000
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 260000
96.3%
Latin 10000
 
3.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 90148
34.7%
2 37859
14.6%
_ 30000
 
11.5%
- 20000
 
7.7%
1 19635
 
7.6%
4 17103
 
6.6%
3 15421
 
5.9%
6 13744
 
5.3%
5 6319
 
2.4%
7 3916
 
1.5%
Other values (2) 5855
 
2.3%
Latin
ValueCountFrequency (%)
C 10000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 270000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 90148
33.4%
2 37859
14.0%
_ 30000
 
11.1%
- 20000
 
7.4%
1 19635
 
7.3%
4 17103
 
6.3%
3 15421
 
5.7%
6 13744
 
5.1%
C 10000
 
3.7%
5 6319
 
2.3%
Other values (3) 9771
 
3.6%

철제목
Text

Distinct1292
Distinct (%)12.9%
Missing3
Missing (%)< 0.1%
Memory size156.2 KiB
2024-04-18T02:47:34.872898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length54
Mean length14.324297
Min length1

Characters and Unicode

Total characters143200
Distinct characters536
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)0.3%

Sample

1st row군수배 바둑 대회, 합덕 신규 소방차 시범 훈련
2nd row한복입기
3rd row상록문화제
4th row권투
5th row각종회의(군수님)
ValueCountFrequency (%)
순시 658
 
1.7%
4 483
 
1.3%
대회 429
 
1.1%
간담회 337
 
0.9%
체육대회 330
 
0.9%
연두 309
 
0.8%
무명 306
 
0.8%
2 298
 
0.8%
도민체전 292
 
0.8%
1 280
 
0.7%
Other values (2338) 34154
90.2%
2024-04-18T02:47:35.327460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28337
 
19.8%
, 4380
 
3.1%
회 3961
 
2.8%
대 2704
 
1.9%
사 2047
 
1.4%
시 1947
 
1.4%
지 1778
 
1.2%
장 1762
 
1.2%
군 1667
 
1.2%
기 1621
 
1.1%
Other values (526) 92996
64.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 98856
69.0%
Space Separator 28337
 
19.8%
Decimal Number 7463
 
5.2%
Other Punctuation 5894
 
4.1%
Close Punctuation 974
 
0.7%
Open Punctuation 970
 
0.7%
Uppercase Letter 329
 
0.2%
Other Number 285
 
0.2%
Math Symbol 83
 
0.1%
Dash Punctuation 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 3961
 
4.0%
대 2704
 
2.7%
사 2047
 
2.1%
시 1947
 
2.0%
지 1778
 
1.8%
장 1762
 
1.8%
군 1667
 
1.7%
기 1621
 
1.6%
수 1571
 
1.6%
제 1455
 
1.5%
Other values (482) 78343
79.2%
Uppercase Letter
ValueCountFrequency (%)
C 87
26.4%
B 51
15.5%
J 29
 
8.8%
S 25
 
7.6%
R 25
 
7.6%
U 21
 
6.4%
I 18
 
5.5%
K 14
 
4.3%
M 13
 
4.0%
G 12
 
3.6%
Other values (5) 34
 
10.3%
Decimal Number
ValueCountFrequency (%)
1 1464
19.6%
2 1462
19.6%
4 943
12.6%
3 911
12.2%
8 618
8.3%
9 507
 
6.8%
5 448
 
6.0%
6 391
 
5.2%
7 369
 
4.9%
0 350
 
4.7%
Other Number
ValueCountFrequency (%)
② 96
33.7%
① 52
18.2%
⑦ 43
15.1%
⑥ 38
 
13.3%
④ 28
 
9.8%
⑤ 15
 
5.3%
③ 13
 
4.6%
Other Punctuation
ValueCountFrequency (%)
, 4380
74.3%
. 1482
 
25.1%
" 18
 
0.3%
' 7
 
0.1%
/ 5
 
0.1%
· 2
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 79
95.2%
+ 4
 
4.8%
Space Separator
ValueCountFrequency (%)
28337
100.0%
Close Punctuation
ValueCountFrequency (%)
) 974
100.0%
Open Punctuation
ValueCountFrequency (%)
( 970
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 98856
69.0%
Common 44015
30.7%
Latin 329
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 3961
 
4.0%
대 2704
 
2.7%
사 2047
 
2.1%
시 1947
 
2.0%
지 1778
 
1.8%
장 1762
 
1.8%
군 1667
 
1.7%
기 1621
 
1.6%
수 1571
 
1.6%
제 1455
 
1.5%
Other values (482) 78343
79.2%
Common
ValueCountFrequency (%)
28337
64.4%
, 4380
 
10.0%
. 1482
 
3.4%
1 1464
 
3.3%
2 1462
 
3.3%
) 974
 
2.2%
( 970
 
2.2%
4 943
 
2.1%
3 911
 
2.1%
8 618
 
1.4%
Other values (19) 2474
 
5.6%
Latin
ValueCountFrequency (%)
C 87
26.4%
B 51
15.5%
J 29
 
8.8%
S 25
 
7.6%
R 25
 
7.6%
U 21
 
6.4%
I 18
 
5.5%
K 14
 
4.3%
M 13
 
4.0%
G 12
 
3.6%
Other values (5) 34
 
10.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 98856
69.0%
ASCII 44057
30.8%
Enclosed Alphanum 285
 
0.2%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
28337
64.3%
, 4380
 
9.9%
. 1482
 
3.4%
1 1464
 
3.3%
2 1462
 
3.3%
) 974
 
2.2%
( 970
 
2.2%
4 943
 
2.1%
3 911
 
2.1%
8 618
 
1.4%
Other values (26) 2516
 
5.7%
Hangul
ValueCountFrequency (%)
회 3961
 
4.0%
대 2704
 
2.7%
사 2047
 
2.1%
시 1947
 
2.0%
지 1778
 
1.8%
장 1762
 
1.8%
군 1667
 
1.7%
기 1621
 
1.6%
수 1571
 
1.6%
제 1455
 
1.5%
Other values (482) 78343
79.2%
Enclosed Alphanum
ValueCountFrequency (%)
② 96
33.7%
① 52
18.2%
⑦ 43
15.1%
⑥ 38
 
13.3%
④ 28
 
9.8%
⑤ 15
 
5.3%
③ 13
 
4.6%
None
ValueCountFrequency (%)
· 2
100.0%

건제목
Text

Distinct1967
Distinct (%)19.7%
Missing10
Missing (%)0.1%
Memory size156.2 KiB
2024-04-18T02:47:35.608069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length74
Median length57
Mean length16.894494
Min length2

Characters and Unicode

Total characters168776
Distinct characters1042
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique425 ?
Unique (%)4.3%

Sample

1st row'화학차.구급차 시동식 및 119 구조장비 시범' 합덕의용소방대,부녀소방대
2nd row제10회 한복 바르게입기 대회
3rd row제6회 상록문화제 기념 문학강연회
4th row결식아동 소년소녀가장돕기 특집 MBC 권투
5th row'승공강연회 및 남북통일운동국민연합 당진군 위원회결성대회' 국제승공연합·남북통일운동국민연합
ValueCountFrequency (%)
및 643
 
1.7%
당진군 632
 
1.7%
제 465
 
1.2%
군수 420
 
1.1%
순시 388
 
1.0%
상록문화제 356
 
0.9%
대회 324
 
0.8%
간담회 298
 
0.8%
연두순시 222
 
0.6%
충청남도민체육대회 209
 
0.5%
Other values (3368) 34331
89.7%
2024-04-18T02:47:35.989788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28521
 
16.9%
회 6150
 
3.6%
제 4114
 
2.4%
대 3305
 
2.0%
군 2679
 
1.6%
진 2403
 
1.4%
당 2204
 
1.3%
기 2186
 
1.3%
' 2170
 
1.3%
지 2051
 
1.2%
Other values (1032) 112993
66.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 121648
72.1%
Space Separator 28521
 
16.9%
Decimal Number 9364
 
5.5%
Other Punctuation 3885
 
2.3%
Open Punctuation 1684
 
1.0%
Close Punctuation 1677
 
1.0%
Other Number 864
 
0.5%
Uppercase Letter 615
 
0.4%
Modifier Symbol 415
 
0.2%
Dash Punctuation 96
 
0.1%
Other values (2) 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 6150
 
5.1%
제 4114
 
3.4%
대 3305
 
2.7%
군 2679
 
2.2%
진 2403
 
2.0%
당 2204
 
1.8%
기 2186
 
1.8%
지 2051
 
1.7%
시 1953
 
1.6%
사 1822
 
1.5%
Other values (967) 92781
76.3%
Uppercase Letter
ValueCountFrequency (%)
C 113
18.4%
B 66
10.7%
M 43
 
7.0%
R 41
 
6.7%
S 39
 
6.3%
J 37
 
6.0%
O 32
 
5.2%
E 32
 
5.2%
H 31
 
5.0%
L 30
 
4.9%
Other values (12) 151
24.6%
Other Number
ValueCountFrequency (%)
② 296
34.3%
① 265
30.7%
③ 82
 
9.5%
④ 55
 
6.4%
⑥ 49
 
5.7%
⑤ 33
 
3.8%
⑦ 24
 
2.8%
⑧ 14
 
1.6%
⑨ 13
 
1.5%
⑩ 10
 
1.2%
Other values (5) 23
 
2.7%
Decimal Number
ValueCountFrequency (%)
2 1663
17.8%
1 1311
14.0%
4 1051
11.2%
3 943
10.1%
8 899
9.6%
9 798
8.5%
5 789
8.4%
0 678
7.2%
7 633
 
6.8%
6 599
 
6.4%
Other Punctuation
ValueCountFrequency (%)
' 2170
55.9%
, 802
 
20.6%
. 454
 
11.7%
· 385
 
9.9%
/ 53
 
1.4%
: 9
 
0.2%
" 8
 
0.2%
! 3
 
0.1%
% 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 1649
97.9%
「 35
 
2.1%
Close Punctuation
ValueCountFrequency (%)
) 1642
97.9%
」 35
 
2.1%
Space Separator
ValueCountFrequency (%)
28521
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 415
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 96
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%
Math Symbol
ValueCountFrequency (%)
↔ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 114251
67.7%
Common 46509
27.6%
Han 7401
 
4.4%
Latin 615
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 6150
 
5.4%
제 4114
 
3.6%
대 3305
 
2.9%
군 2679
 
2.3%
진 2403
 
2.1%
당 2204
 
1.9%
기 2186
 
1.9%
지 2051
 
1.8%
시 1953
 
1.7%
사 1822
 
1.6%
Other values (521) 85384
74.7%
Han
ValueCountFrequency (%)
會 293
 
4.0%
郡 210
 
2.8%
式 205
 
2.8%
第 171
 
2.3%
大 168
 
2.3%
支 166
 
2.2%
乙 164
 
2.2%
演 159
 
2.1%
習 157
 
2.1%
唐 153
 
2.1%
Other values (437) 5555
75.1%
Common
ValueCountFrequency (%)
28521
61.3%
' 2170
 
4.7%
2 1663
 
3.6%
( 1649
 
3.5%
) 1642
 
3.5%
1 1311
 
2.8%
4 1051
 
2.3%
3 943
 
2.0%
8 899
 
1.9%
, 802
 
1.7%
Other values (32) 5858
 
12.6%
Latin
ValueCountFrequency (%)
C 113
18.4%
B 66
10.7%
M 43
 
7.0%
R 41
 
6.7%
S 39
 
6.3%
J 37
 
6.0%
O 32
 
5.2%
E 32
 
5.2%
H 31
 
5.0%
L 30
 
4.9%
Other values (12) 151
24.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 114247
67.7%
ASCII 45802
27.1%
CJK 7200
 
4.3%
Enclosed Alphanum 864
 
0.5%
None 459
 
0.3%
CJK Compat Ideographs 201
 
0.1%
Arrows 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
28521
62.3%
' 2170
 
4.7%
2 1663
 
3.6%
( 1649
 
3.6%
) 1642
 
3.6%
1 1311
 
2.9%
4 1051
 
2.3%
3 943
 
2.1%
8 899
 
2.0%
, 802
 
1.8%
Other values (35) 5151
 
11.2%
Hangul
ValueCountFrequency (%)
회 6150
 
5.4%
제 4114
 
3.6%
대 3305
 
2.9%
군 2679
 
2.3%
진 2403
 
2.1%
당 2204
 
1.9%
기 2186
 
1.9%
지 2051
 
1.8%
시 1953
 
1.7%
사 1822
 
1.6%
Other values (520) 85380
74.7%
None
ValueCountFrequency (%)
· 385
83.9%
」 35
 
7.6%
「 35
 
7.6%
㈜ 4
 
0.9%
Enclosed Alphanum
ValueCountFrequency (%)
② 296
34.3%
① 265
30.7%
③ 82
 
9.5%
④ 55
 
6.4%
⑥ 49
 
5.7%
⑤ 33
 
3.8%
⑦ 24
 
2.8%
⑧ 14
 
1.6%
⑨ 13
 
1.5%
⑩ 10
 
1.2%
Other values (5) 23
 
2.7%
CJK
ValueCountFrequency (%)
會 293
 
4.1%
郡 210
 
2.9%
式 205
 
2.8%
第 171
 
2.4%
大 168
 
2.3%
支 166
 
2.3%
乙 164
 
2.3%
演 159
 
2.2%
習 157
 
2.2%
唐 153
 
2.1%
Other values (418) 5354
74.4%
CJK Compat Ideographs
ValueCountFrequency (%)
李 37
18.4%
老 34
16.9%
柳 29
14.4%
沈 16
8.0%
烈 14
 
7.0%
離 12
 
6.0%
金 9
 
4.5%
更 9
 
4.5%
盧 9
 
4.5%
禮 6
 
3.0%
Other values (9) 26
12.9%
Arrows
ValueCountFrequency (%)
↔ 3
100.0%

생산기관
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
충청남도 당진시
10000 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row충청남도 당진시
2nd row충청남도 당진시
3rd row충청남도 당진시
4th row충청남도 당진시
5th row충청남도 당진시

Common Values

ValueCountFrequency (%)
충청남도 당진시 10000
100.0%

Length

2024-04-18T02:47:36.091367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:47:36.157446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충청남도 10000
50.0%
당진시 10000
50.0%

생산일자
Text

Distinct819
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-18T02:47:36.341326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length10
Mean length10.005
Min length10

Characters and Unicode

Total characters100050
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

Unique65 ?
Unique (%)0.7%

Sample

1st row1997-04-12
2nd row1999-10-02
3rd row1982-10-14
4th row1999-10-20
5th row1987-12-09
ValueCountFrequency (%)
0000-00-00 1236
 
12.4%
1987-00-00 211
 
2.1%
1984-00-00 202
 
2.0%
1986-07-14 119
 
1.2%
1977-10-01 100
 
1.0%
1982-04-01 98
 
1.0%
1999-10-01 90
 
0.9%
2002-10-19 88
 
0.9%
2002-10-10 73
 
0.7%
2003-09-28 70
 
0.7%
Other values (808) 7713
77.1%
2024-04-18T02:47:36.653764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 27088
27.1%
- 20015
20.0%
1 14105
14.1%
9 13804
13.8%
2 7946
 
7.9%
8 4588
 
4.6%
4 3220
 
3.2%
3 3128
 
3.1%
7 2393
 
2.4%
5 1903
 
1.9%
Other values (2) 1860
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 80028
80.0%
Dash Punctuation 20015
 
20.0%
Math Symbol 7
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 27088
33.8%
1 14105
17.6%
9 13804
17.2%
2 7946
 
9.9%
8 4588
 
5.7%
4 3220
 
4.0%
3 3128
 
3.9%
7 2393
 
3.0%
5 1903
 
2.4%
6 1853
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 20015
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 100050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 27088
27.1%
- 20015
20.0%
1 14105
14.1%
9 13804
13.8%
2 7946
 
7.9%
8 4588
 
4.6%
4 3220
 
3.2%
3 3128
 
3.1%
7 2393
 
2.4%
5 1903
 
1.9%
Other values (2) 1860
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 100050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 27088
27.1%
- 20015
20.0%
1 14105
14.1%
9 13804
13.8%
2 7946
 
7.9%
8 4588
 
4.6%
4 3220
 
3.2%
3 3128
 
3.1%
7 2393
 
2.4%
5 1903
 
1.9%
Other values (2) 1860
 
1.9%

종료일자
Text

Distinct819
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-18T02:47:36.874391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length10
Mean length10.005
Min length10

Characters and Unicode

Total characters100050
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

Unique65 ?
Unique (%)0.7%

Sample

1st row1997-04-12
2nd row1999-10-02
3rd row1982-10-14
4th row1999-10-20
5th row1987-12-09
ValueCountFrequency (%)
0000-00-00 1236
 
12.4%
1987-00-00 211
 
2.1%
1984-00-00 202
 
2.0%
1986-07-14 119
 
1.2%
1977-10-01 100
 
1.0%
1982-04-01 98
 
1.0%
1999-10-01 90
 
0.9%
2002-10-19 88
 
0.9%
2002-10-10 73
 
0.7%
2003-09-28 70
 
0.7%
Other values (808) 7713
77.1%
2024-04-18T02:47:37.188279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 27088
27.1%
- 20015
20.0%
1 14105
14.1%
9 13804
13.8%
2 7946
 
7.9%
8 4588
 
4.6%
4 3220
 
3.2%
3 3128
 
3.1%
7 2393
 
2.4%
5 1903
 
1.9%
Other values (2) 1860
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 80028
80.0%
Dash Punctuation 20015
 
20.0%
Math Symbol 7
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 27088
33.8%
1 14105
17.6%
9 13804
17.2%
2 7946
 
9.9%
8 4588
 
5.7%
4 3220
 
4.0%
3 3128
 
3.9%
7 2393
 
3.0%
5 1903
 
2.4%
6 1853
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 20015
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 100050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 27088
27.1%
- 20015
20.0%
1 14105
14.1%
9 13804
13.8%
2 7946
 
7.9%
8 4588
 
4.6%
4 3220
 
3.2%
3 3128
 
3.1%
7 2393
 
2.4%
5 1903
 
1.9%
Other values (2) 1860
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 100050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 27088
27.1%
- 20015
20.0%
1 14105
14.1%
9 13804
13.8%
2 7946
 
7.9%
8 4588
 
4.6%
4 3220
 
3.2%
3 3128
 
3.1%
7 2393
 
2.4%
5 1903
 
1.9%
Other values (2) 1860
 
1.9%

분류번호
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 10000
100.0%

Length

2024-04-18T02:47:37.293827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:47:37.580474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

형태
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
필름
10000 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
필름 10000
100.0%

Length

2024-04-18T02:47:37.646740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:47:37.716228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
필름 10000
100.0%

유형
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
사진
10000 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사진 10000
100.0%

Length

2024-04-18T02:47:37.786167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:47:37.852656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사진 10000
100.0%

보존기간
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
영구
10000 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영구 10000
100.0%

Length

2024-04-18T02:47:37.920897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:47:37.984823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영구 10000
100.0%

서비스대상
Boolean

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
True
9908 
False
 
92
ValueCountFrequency (%)
True 9908
99.1%
False 92
 
0.9%
2024-04-18T02:47:38.038214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

서고정보
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
당진시 자료보존관
10000 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row당진시 자료보존관
2nd row당진시 자료보존관
3rd row당진시 자료보존관
4th row당진시 자료보존관
5th row당진시 자료보존관

Common Values

ValueCountFrequency (%)
당진시 자료보존관 10000
100.0%

Length

2024-04-18T02:47:38.111686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:47:38.180785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
당진시 10000
50.0%
자료보존관 10000
50.0%

비고
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct49
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9632 
관련없는 사진
 
172
서비스 불가
 
91
풍경
 
21
회의
 
11
Other values (44)
 
73

Length

Max length14
Median length4
Mean length4.061
Min length1

Unique

Unique25 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9632
96.3%
관련없는 사진 172
 
1.7%
서비스 불가 91
 
0.9%
풍경 21
 
0.2%
회의 11
 
0.1%
바다 5
 
0.1%
공사현장 4
 
< 0.1%
회식 3
 
< 0.1%
문화재 3
 
< 0.1%
무궁화 3
 
< 0.1%
Other values (39) 55
 
0.5%

Length

2024-04-18T02:47:38.262196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 9632
93.7%
사진 172
 
1.7%
관련없는 172
 
1.7%
서비스 91
 
0.9%
불가 91
 
0.9%
풍경 21
 
0.2%
회의 11
 
0.1%
바다 5
 
< 0.1%
공사현장 4
 
< 0.1%
나무 3
 
< 0.1%
Other values (48) 73
 
0.7%

기타사항
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8354 
초상권에 대한 문제로 공개하지 않으나 관리 중인 데이터 입니다.
1646 

Length

Max length35
Median length4
Mean length9.1026
Min length4

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> 8354
83.5%
초상권에 대한 문제로 공개하지 않으나 관리 중인 데이터 입니다. 1646
 
16.5%

Length

2024-04-18T02:47:38.358087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:47:38.455917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8354
36.1%
초상권에 1646
 
7.1%
대한 1646
 
7.1%
문제로 1646
 
7.1%
공개하지 1646
 
7.1%
않으나 1646
 
7.1%
관리 1646
 
7.1%
중인 1646
 
7.1%
데이터 1646
 
7.1%
입니다 1646
 
7.1%

Interactions

2024-04-18T02:47:32.469451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-18T02:47:38.519623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번관리번호서비스대상비고
순번1.0000.9890.0850.853
관리번호0.9891.0000.0910.927
서비스대상0.0850.0911.0001.000
비고0.8530.9271.0001.000
2024-04-18T02:47:38.602340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
비고서비스대상관리번호기타사항
비고1.0000.9350.4211.000
서비스대상0.9351.0000.0721.000
관리번호0.4210.0721.0001.000
기타사항1.0001.0001.0001.000
2024-04-18T02:47:38.679055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번관리번호서비스대상비고기타사항
순번1.0000.9260.0650.4691.000
관리번호0.9261.0000.0720.4211.000
서비스대상0.0650.0721.0000.9351.000
비고0.4690.4210.9351.0001.000
기타사항1.0001.0001.0001.0001.000

Missing values

2024-04-18T02:47:32.573323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-18T02:47:32.777265image/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.
2024-04-18T02:47:32.899955image/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

순번관리번호파일이름등록번호건아이디(ID)철제목건제목생산기관생산일자종료일자분류번호형태유형보존기간서비스대상서고정보비고기타사항
187321873304월 25일C136_4-25_021_0014.JPGC136_P018733C136-2022_004-0025_021_0014군수배 바둑 대회, 합덕 신규 소방차 시범 훈련'화학차.구급차 시동식 및 119 구조장비 시범' 합덕의용소방대,부녀소방대충청남도 당진시1997-04-121997-04-120필름사진영구Y당진시 자료보존관<NA><NA>
33338333394-46C136_4-46_043_0019.JPGC136_P033339C136-2022_004-0046_043_0019한복입기제10회 한복 바르게입기 대회충청남도 당진시1999-10-021999-10-020필름사진영구Y당진시 자료보존관<NA><NA>
37205372064-50C136_4-50_009_0011.JPGC136_P037206C136-2022_004-0050_009_0011상록문화제제6회 상록문화제 기념 문학강연회충청남도 당진시1982-10-141982-10-140필름사진영구Y당진시 자료보존관<NA><NA>
32772327734-46C136_4-46_022_0029.JPGC136_P032773C136-2022_004-0046_022_0029권투결식아동 소년소녀가장돕기 특집 MBC 권투충청남도 당진시1999-10-201999-10-200필름사진영구Y당진시 자료보존관<NA><NA>
9738973904월 07일C136_4-7_092_0005.JPGC136_P009739C136-2022_004-0007_092_0005각종회의(군수님)'승공강연회 및 남북통일운동국민연합 당진군 위원회결성대회' 국제승공연합·남북통일운동국민연합충청남도 당진시1987-12-091987-12-090필름사진영구Y당진시 자료보존관<NA><NA>
38373383744-50C136_4-50_057_0003.JPGC136_P038374C136-2022_004-0050_057_0003새당진 라이온스 클럽, 경노잔치 83. 5. 13새 당진 라이온스클럽 헌장전수의 밤충청남도 당진시1983-04-091983-04-090필름사진영구Y당진시 자료보존관<NA><NA>
3302330304월 03일C136_4-3_033_0018.JPGC136_P003303C136-2022_004-0003_033_0018당진 농수산물 직판장 개장식당진 농산물 농협직판장 개점충청남도 당진시1994-01-261994-01-260필름사진영구Y당진시 자료보존관<NA><NA>
4886488704월 04일C136_4-4_012_0023.JPGC136_P004887C136-2022_004-0004_012_0023충감도 농어촌 발전 대상 시상충감도 농어촌 발전 대상 시상충청남도 당진시1995-01-221995-01-220필름사진영구Y당진시 자료보존관<NA><NA>
154091541004월 14일C136_4-14_072_0022.JPGC136_P015410C136-2022_004-0014_072_0022상록문화제상록문화제충청남도 당진시1987-00-001987-00-000필름사진영구Y당진시 자료보존관<NA>초상권에 대한 문제로 공개하지 않으나 관리 중인 데이터 입니다.
2796279704월 03일C136_4-3_013_0024.JPGC136_P002797C136-2022_004-0003_013_0024석문 시내 전경, 고대 농협 부녀회 사회 교육당진 군의회충청남도 당진시1998-00-001998-00-000필름사진영구Y당진시 자료보존관<NA><NA>
순번관리번호파일이름등록번호건아이디(ID)철제목건제목생산기관생산일자종료일자분류번호형태유형보존기간서비스대상서고정보비고기타사항
69069104월 01일C136_4-1_027_0007.JPGC136_P000691C136-2022_004-0001_027_0007신평면 읍면 초도순시당진군 신평면 초도순시충청남도 당진시1995-07-241995-07-240필름사진영구Y당진시 자료보존관<NA><NA>
111881118904월 08일C136_4-8_057_0007.JPGC136_P011189C136-2022_004-0008_057_0007합덕 근로자의날, 한성식품 근로자와의 간담회한성식품 근로자와의 간담회충청남도 당진시1999-04-291999-04-290필름사진영구Y당진시 자료보존관<NA><NA>
32509325104-46C136_4-46_013_0016.JPGC136_P032510C136-2022_004-0046_013_0016미술 전시회, 사랑의 문화 봉사단 공연미술 전시회충청남도 당진시1999-10-121999-10-120필름사진영구Y당진시 자료보존관<NA><NA>
196891969004월 25일C136_4-25_056_0023.JPGC136_P019690C136-2022_004-0025_056_0023성년의 달 행사성년의 달 행사충청남도 당진시1997-05-161997-05-160필름사진영구Y당진시 자료보존관<NA><NA>
44440444414-56C136_4-56_028_0002.jpgC136_P044441C136-2022_004-0056_028_00024. 4 독립만세 8'제2회 당진군내 3.1 만세운동 재현 횃불행진' 대호지4·4독립만세운동 기념사업회충청남도 당진시2003-04-042003-04-040필름사진영구Y당진시 자료보존관<NA><NA>
34793347944-47C136_4-47_024_0008.JPGC136_P034794C136-2022_004-0047_024_0008위생 매립장 전경당진군 위생매립장 전경충청남도 당진시1999-11-191999-11-190필름사진영구Y당진시 자료보존관<NA><NA>
236532365404월 29일C136_4-29_040_0012.JPGC136_P023654C136-2022_004-0029_040_0012상록문화제3쌀 축제와 함께하는 제26회 상록문화제②충청남도 당진시2002-09-272002-09-270필름사진영구Y당진시 자료보존관<NA><NA>
203002030104월 25일C136_4-25_079_0007.JPGC136_P020301C136-2022_004-0025_079_0007구자송 부면장 정년퇴임'구자송 부면장 정년퇴임식' 송악면충청남도 당진시1997-06-211997-06-210필름사진영구Y당진시 자료보존관<NA>초상권에 대한 문제로 공개하지 않으나 관리 중인 데이터 입니다.
126021260304월 09일C136_4-9_048_0003.JPGC136_P012603C136-2022_004-0009_048_0003합덕도서관 시찰 군수합덕도서관 시찰 군수충청남도 당진시1994-10-311994-10-310필름사진영구Y당진시 자료보존관<NA><NA>
39171391724-53C136_4-53_027_0019.JPGC136_P039172C136-2022_004-0053_027_0019수해복구수해복구충청남도 당진시0000-00-000000-00-000필름사진영구Y당진시 자료보존관<NA><NA>