Overview

Dataset statistics

Number of variables18
Number of observations100
Missing cells100
Missing cells (%)5.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.8 KiB
Average record size in memory151.3 B

Variable types

Numeric4
Text6
Categorical7
Unsupported1

Dataset

Description충청남도 당진시 정부간행물 메타데이터 입니다. (순번,관리번호,파일이름,등록번호,건ID,철제목,생산기관,생산연도,종료연도,분류번호,형태,유형,보존기간,페이지정보,서고정보,비고,기타사항,디지털화) (데이터기준일자 : 2022-12-20)
Author충청남도 당진시
URLhttps://www.data.go.kr/data/15110772/fileData.do

Alerts

생산기관 has constant value ""Constant
분류번호 has constant value ""Constant
유형 has constant value ""Constant
보존기간 has constant value ""Constant
서고정보 has constant value ""Constant
기타사항 has constant value ""Constant
순번 is highly overall correlated with 생산연도 and 2 other fieldsHigh correlation
생산연도 is highly overall correlated with 순번 and 2 other fieldsHigh correlation
종료연도 is highly overall correlated with 순번 and 2 other fieldsHigh correlation
디지털화 is highly overall correlated with 순번 and 2 other fieldsHigh correlation
형태 is highly imbalanced (91.9%)Imbalance
비고 has 100 (100.0%) missing valuesMissing
순번 has unique valuesUnique
관리번호 has unique valuesUnique
파일이름 has unique valuesUnique
등록번호 has unique valuesUnique
건ID has unique valuesUnique
비고 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 00:41:00.343712
Analysis finished2023-12-12 00:41:02.727133
Duration2.38 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.5
Minimum1
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T09:41:02.793875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.95
Q125.75
median50.5
Q375.25
95-th percentile95.05
Maximum100
Range99
Interquartile range (IQR)49.5

Descriptive statistics

Standard deviation29.011492
Coefficient of variation (CV)0.57448499
Kurtosis-1.2
Mean50.5
Median Absolute Deviation (MAD)25
Skewness0
Sum5050
Variance841.66667
MonotonicityStrictly increasing
2023-12-12T09:41:03.144583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
65 1
 
1.0%
75 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
69 1
 
1.0%
68 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
100 1
1.0%
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%
95 1
1.0%
94 1
1.0%
93 1
1.0%
92 1
1.0%
91 1
1.0%

관리번호
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-12T09:41:03.391260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length18
Mean length19.79
Min length18

Characters and Unicode

Total characters1979
Distinct characters116
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)100.0%

Sample

1st rowC136_1962 군세일람_001
2nd rowC136_1963 군세일람_001
3rd rowC136_1964 군세일람_001
4th rowC136_1965 군세일람_001
5th rowC136_1966 군세일람_001
ValueCountFrequency (%)
통계연보_001 53
 
22.7%
군정백서_001 6
 
2.6%
통계연보_002 6
 
2.6%
c136_1997 5
 
2.1%
군세일람_001 5
 
2.1%
c136_2012 4
 
1.7%
c136_2013 4
 
1.7%
c136_1983 3
 
1.3%
c136_2002 3
 
1.3%
c136_2001 3
 
1.3%
Other values (118) 141
60.5%
2023-12-12T09:41:03.843514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 295
14.9%
1 282
14.2%
_ 200
 
10.1%
133
 
6.7%
6 118
 
6.0%
3 112
 
5.7%
C 100
 
5.1%
9 77
 
3.9%
2 75
 
3.8%
계 64
 
3.2%
Other values (106) 523
26.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1027
51.9%
Other Letter 504
25.5%
Connector Punctuation 200
 
10.1%
Space Separator 133
 
6.7%
Uppercase Letter 100
 
5.1%
Math Symbol 7
 
0.4%
Open Punctuation 4
 
0.2%
Close Punctuation 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
계 64
 
12.7%
연 63
 
12.5%
통 61
 
12.1%
보 60
 
11.9%
지 21
 
4.2%
군 17
 
3.4%
진 13
 
2.6%
당 12
 
2.4%
면 11
 
2.2%
정 11
 
2.2%
Other values (89) 171
33.9%
Decimal Number
ValueCountFrequency (%)
0 295
28.7%
1 282
27.5%
6 118
 
11.5%
3 112
 
10.9%
9 77
 
7.5%
2 75
 
7.3%
7 26
 
2.5%
8 23
 
2.2%
4 10
 
1.0%
5 9
 
0.9%
Math Symbol
ValueCountFrequency (%)
～ 6
85.7%
~ 1
 
14.3%
Connector Punctuation
ValueCountFrequency (%)
_ 200
100.0%
Space Separator
ValueCountFrequency (%)
133
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 100
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1375
69.5%
Hangul 504
 
25.5%
Latin 100
 
5.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
계 64
 
12.7%
연 63
 
12.5%
통 61
 
12.1%
보 60
 
11.9%
지 21
 
4.2%
군 17
 
3.4%
진 13
 
2.6%
당 12
 
2.4%
면 11
 
2.2%
정 11
 
2.2%
Other values (89) 171
33.9%
Common
ValueCountFrequency (%)
0 295
21.5%
1 282
20.5%
_ 200
14.5%
133
9.7%
6 118
 
8.6%
3 112
 
8.1%
9 77
 
5.6%
2 75
 
5.5%
7 26
 
1.9%
8 23
 
1.7%
Other values (6) 34
 
2.5%
Latin
ValueCountFrequency (%)
C 100
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1469
74.2%
Hangul 504
 
25.5%
None 6
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 295
20.1%
1 282
19.2%
_ 200
13.6%
133
9.1%
6 118
 
8.0%
3 112
 
7.6%
C 100
 
6.8%
9 77
 
5.2%
2 75
 
5.1%
7 26
 
1.8%
Other values (6) 51
 
3.5%
Hangul
ValueCountFrequency (%)
계 64
 
12.7%
연 63
 
12.5%
통 61
 
12.1%
보 60
 
11.9%
지 21
 
4.2%
군 17
 
3.4%
진 13
 
2.6%
당 12
 
2.4%
면 11
 
2.2%
정 11
 
2.2%
Other values (89) 171
33.9%
None
ValueCountFrequency (%)
～ 6
100.0%

파일이름
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-12T09:41:04.262261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length22
Mean length23.81
Min length18

Characters and Unicode

Total characters2381
Distinct characters125
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)100.0%

Sample

1st rowC136_1962 군세일람_001.pdf
2nd rowC136_1963 군세일람_001.pdf
3rd rowC136_1964 군세일람_001.pdf
4th rowC136_1965 군세일람_001.pdf
5th rowC136_1966 군세일람_001.pdf
ValueCountFrequency (%)
통계연보_001.pdf 50
 
20.6%
군정백서_001.pdf 6
 
2.5%
c136 6
 
2.5%
통계연보_002.pdf 6
 
2.5%
군세일람_001.pdf 5
 
2.1%
c136_1997 5
 
2.1%
c136_2013 4
 
1.6%
c136_2012 4
 
1.6%
c136_1983 3
 
1.2%
당진군지 3
 
1.2%
Other values (124) 151
62.1%
2023-12-12T09:41:04.766319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 287
 
12.1%
1 274
 
11.5%
_ 192
 
8.1%
143
 
6.0%
6 116
 
4.9%
3 108
 
4.5%
p 100
 
4.2%
f 100
 
4.2%
d 100
 
4.2%
. 100
 
4.2%
Other values (115) 861
36.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1005
42.2%
Other Letter 521
21.9%
Lowercase Letter 300
 
12.6%
Connector Punctuation 192
 
8.1%
Space Separator 143
 
6.0%
Other Punctuation 100
 
4.2%
Uppercase Letter 99
 
4.2%
Open Punctuation 7
 
0.3%
Close Punctuation 7
 
0.3%
Math Symbol 7
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
계 64
 
12.3%
연 63
 
12.1%
통 61
 
11.7%
보 60
 
11.5%
지 21
 
4.0%
군 17
 
3.3%
진 15
 
2.9%
당 14
 
2.7%
면 11
 
2.1%
정 11
 
2.1%
Other values (91) 184
35.3%
Decimal Number
ValueCountFrequency (%)
0 287
28.6%
1 274
27.3%
6 116
11.5%
3 108
 
10.7%
9 78
 
7.8%
2 73
 
7.3%
7 26
 
2.6%
8 23
 
2.3%
4 10
 
1.0%
5 10
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
C 96
97.0%
F 1
 
1.0%
D 1
 
1.0%
P 1
 
1.0%
Lowercase Letter
ValueCountFrequency (%)
p 100
33.3%
f 100
33.3%
d 100
33.3%
Math Symbol
ValueCountFrequency (%)
～ 6
85.7%
~ 1
 
14.3%
Connector Punctuation
ValueCountFrequency (%)
_ 192
100.0%
Space Separator
ValueCountFrequency (%)
143
100.0%
Other Punctuation
ValueCountFrequency (%)
. 100
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1461
61.4%
Hangul 521
 
21.9%
Latin 399
 
16.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
계 64
 
12.3%
연 63
 
12.1%
통 61
 
11.7%
보 60
 
11.5%
지 21
 
4.0%
군 17
 
3.3%
진 15
 
2.9%
당 14
 
2.7%
면 11
 
2.1%
정 11
 
2.1%
Other values (91) 184
35.3%
Common
ValueCountFrequency (%)
0 287
19.6%
1 274
18.8%
_ 192
13.1%
143
9.8%
6 116
7.9%
3 108
 
7.4%
. 100
 
6.8%
9 78
 
5.3%
2 73
 
5.0%
7 26
 
1.8%
Other values (7) 64
 
4.4%
Latin
ValueCountFrequency (%)
p 100
25.1%
f 100
25.1%
d 100
25.1%
C 96
24.1%
F 1
 
0.3%
D 1
 
0.3%
P 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1854
77.9%
Hangul 521
 
21.9%
None 6
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 287
15.5%
1 274
14.8%
_ 192
10.4%
143
7.7%
6 116
 
6.3%
3 108
 
5.8%
p 100
 
5.4%
f 100
 
5.4%
d 100
 
5.4%
. 100
 
5.4%
Other values (13) 334
18.0%
Hangul
ValueCountFrequency (%)
계 64
 
12.3%
연 63
 
12.1%
통 61
 
11.7%
보 60
 
11.5%
지 21
 
4.0%
군 17
 
3.3%
진 15
 
2.9%
당 14
 
2.7%
면 11
 
2.1%
정 11
 
2.1%
Other values (91) 184
35.3%
None
ValueCountFrequency (%)
～ 6
100.0%

등록번호
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-12T09:41:05.051654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1200
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

Unique100 ?
Unique (%)100.0%

Sample

1st rowC136_A000001
2nd rowC136_A000002
3rd rowC136_A000003
4th rowC136_A000004
5th rowC136_A000005
ValueCountFrequency (%)
c136_a000001 1
 
1.0%
c136_a000063 1
 
1.0%
c136_a000074 1
 
1.0%
c136_a000073 1
 
1.0%
c136_a000072 1
 
1.0%
c136_a000071 1
 
1.0%
c136_a000070 1
 
1.0%
c136_a000069 1
 
1.0%
c136_a000068 1
 
1.0%
c136_a000067 1
 
1.0%
Other values (90) 90
90.0%
2023-12-12T09:41:05.426330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 419
34.9%
1 121
 
10.1%
3 120
 
10.0%
6 120
 
10.0%
C 100
 
8.3%
_ 100
 
8.3%
A 100
 
8.3%
4 20
 
1.7%
5 20
 
1.7%
7 20
 
1.7%
Other values (3) 60
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 900
75.0%
Uppercase Letter 200
 
16.7%
Connector Punctuation 100
 
8.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 419
46.6%
1 121
 
13.4%
3 120
 
13.3%
6 120
 
13.3%
4 20
 
2.2%
5 20
 
2.2%
7 20
 
2.2%
8 20
 
2.2%
9 20
 
2.2%
2 20
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
C 100
50.0%
A 100
50.0%
Connector Punctuation
ValueCountFrequency (%)
_ 100
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1000
83.3%
Latin 200
 
16.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 419
41.9%
1 121
 
12.1%
3 120
 
12.0%
6 120
 
12.0%
_ 100
 
10.0%
4 20
 
2.0%
5 20
 
2.0%
7 20
 
2.0%
8 20
 
2.0%
9 20
 
2.0%
Latin
ValueCountFrequency (%)
C 100
50.0%
A 100
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1200
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 419
34.9%
1 121
 
10.1%
3 120
 
10.0%
6 120
 
10.0%
C 100
 
8.3%
_ 100
 
8.3%
A 100
 
8.3%
4 20
 
1.7%
5 20
 
1.7%
7 20
 
1.7%
Other values (3) 60
 
5.0%

건ID
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-12T09:41:05.786679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length23
Mean length24.96
Min length23

Characters and Unicode

Total characters2496
Distinct characters122
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)100.0%

Sample

1st rowC136-2022_1962 군세일람_001
2nd rowC136-2022_1963 군세일람_001
3rd rowC136-2022_1964 군세일람_001
4th rowC136-2022_1965 군세일람_001
5th rowC136-2022_1966 군세일람_001
ValueCountFrequency (%)
통계연보_001 53
 
22.2%
군정백서_001 6
 
2.5%
통계연보_002 6
 
2.5%
c136-2022_1997 5
 
2.1%
군세일람_001 5
 
2.1%
c136-2022_2013 4
 
1.7%
c136-2022_2012 4
 
1.7%
당진군지 3
 
1.3%
및 3
 
1.3%
c136-2022_2001 3
 
1.3%
Other values (121) 147
61.5%
2023-12-12T09:41:06.232610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 395
15.8%
2 374
15.0%
1 281
11.3%
_ 200
 
8.0%
139
 
5.6%
6 118
 
4.7%
3 112
 
4.5%
C 100
 
4.0%
- 100
 
4.0%
9 77
 
3.1%
Other values (112) 600
24.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1423
57.0%
Other Letter 520
 
20.8%
Connector Punctuation 200
 
8.0%
Space Separator 139
 
5.6%
Uppercase Letter 100
 
4.0%
Dash Punctuation 100
 
4.0%
Math Symbol 6
 
0.2%
Close Punctuation 4
 
0.2%
Open Punctuation 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
계 65
 
12.5%
연 63
 
12.1%
통 61
 
11.7%
보 60
 
11.5%
지 21
 
4.0%
군 17
 
3.3%
진 14
 
2.7%
당 14
 
2.7%
면 11
 
2.1%
정 10
 
1.9%
Other values (95) 184
35.4%
Decimal Number
ValueCountFrequency (%)
0 395
27.8%
2 374
26.3%
1 281
19.7%
6 118
 
8.3%
3 112
 
7.9%
9 77
 
5.4%
7 26
 
1.8%
8 22
 
1.5%
5 9
 
0.6%
4 9
 
0.6%
Connector Punctuation
ValueCountFrequency (%)
_ 200
100.0%
Space Separator
ValueCountFrequency (%)
139
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 100
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 100
100.0%
Math Symbol
ValueCountFrequency (%)
～ 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1876
75.2%
Hangul 520
 
20.8%
Latin 100
 
4.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
계 65
 
12.5%
연 63
 
12.1%
통 61
 
11.7%
보 60
 
11.5%
지 21
 
4.0%
군 17
 
3.3%
진 14
 
2.7%
당 14
 
2.7%
면 11
 
2.1%
정 10
 
1.9%
Other values (95) 184
35.4%
Common
ValueCountFrequency (%)
0 395
21.1%
2 374
19.9%
1 281
15.0%
_ 200
10.7%
139
 
7.4%
6 118
 
6.3%
3 112
 
6.0%
- 100
 
5.3%
9 77
 
4.1%
7 26
 
1.4%
Other values (6) 54
 
2.9%
Latin
ValueCountFrequency (%)
C 100
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1970
78.9%
Hangul 520
 
20.8%
None 6
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 395
20.1%
2 374
19.0%
1 281
14.3%
_ 200
10.2%
139
 
7.1%
6 118
 
6.0%
3 112
 
5.7%
C 100
 
5.1%
- 100
 
5.1%
9 77
 
3.9%
Other values (6) 74
 
3.8%
Hangul
ValueCountFrequency (%)
계 65
 
12.5%
연 63
 
12.1%
통 61
 
11.7%
보 60
 
11.5%
지 21
 
4.0%
군 17
 
3.3%
진 14
 
2.7%
당 14
 
2.7%
면 11
 
2.1%
정 10
 
1.9%
Other values (95) 184
35.4%
None
ValueCountFrequency (%)
～ 6
100.0%

철제목
Text

Distinct94
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-12T09:41:06.543247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length9
Mean length11.1
Min length9

Characters and Unicode

Total characters1110
Distinct characters114
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique88 ?
Unique (%)88.0%

Sample

1st row군세일람 1962
2nd row군세일람 1963
3rd row군세일람 1964
4th row군세일람 1965
5th row군세일람 1966
ValueCountFrequency (%)
통계연보 59
24.5%
군정백서 6
 
2.5%
군세일람 5
 
2.1%
1997 5
 
2.1%
2012 5
 
2.1%
당진군지 4
 
1.7%
2013 4
 
1.7%
2001 3
 
1.2%
2002 3
 
1.2%
당진시 3
 
1.2%
Other values (118) 144
59.8%
2023-12-12T09:41:07.009234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
142
 
12.8%
0 96
 
8.6%
1 89
 
8.0%
9 77
 
6.9%
2 71
 
6.4%
계 64
 
5.8%
연 63
 
5.7%
통 61
 
5.5%
보 60
 
5.4%
7 26
 
2.3%
Other values (104) 361
32.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 522
47.0%
Decimal Number 431
38.8%
Space Separator 142
 
12.8%
Math Symbol 7
 
0.6%
Open Punctuation 4
 
0.4%
Close Punctuation 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
계 64
 
12.3%
연 63
 
12.1%
통 61
 
11.7%
보 60
 
11.5%
지 21
 
4.0%
군 17
 
3.3%
진 14
 
2.7%
당 13
 
2.5%
면 11
 
2.1%
정 11
 
2.1%
Other values (89) 187
35.8%
Decimal Number
ValueCountFrequency (%)
0 96
22.3%
1 89
20.6%
9 77
17.9%
2 71
16.5%
7 26
 
6.0%
8 23
 
5.3%
6 18
 
4.2%
3 12
 
2.8%
4 10
 
2.3%
5 9
 
2.1%
Math Symbol
ValueCountFrequency (%)
～ 6
85.7%
~ 1
 
14.3%
Space Separator
ValueCountFrequency (%)
142
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 588
53.0%
Hangul 522
47.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
계 64
 
12.3%
연 63
 
12.1%
통 61
 
11.7%
보 60
 
11.5%
지 21
 
4.0%
군 17
 
3.3%
진 14
 
2.7%
당 13
 
2.5%
면 11
 
2.1%
정 11
 
2.1%
Other values (89) 187
35.8%
Common
ValueCountFrequency (%)
142
24.1%
0 96
16.3%
1 89
15.1%
9 77
13.1%
2 71
12.1%
7 26
 
4.4%
8 23
 
3.9%
6 18
 
3.1%
3 12
 
2.0%
4 10
 
1.7%
Other values (5) 24
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 582
52.4%
Hangul 522
47.0%
None 6
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
142
24.4%
0 96
16.5%
1 89
15.3%
9 77
13.2%
2 71
12.2%
7 26
 
4.5%
8 23
 
4.0%
6 18
 
3.1%
3 12
 
2.1%
4 10
 
1.7%
Other values (4) 18
 
3.1%
Hangul
ValueCountFrequency (%)
계 64
 
12.3%
연 63
 
12.1%
통 61
 
11.7%
보 60
 
11.5%
지 21
 
4.0%
군 17
 
3.3%
진 14
 
2.7%
당 13
 
2.5%
면 11
 
2.1%
정 11
 
2.1%
Other values (89) 187
35.8%
None
ValueCountFrequency (%)
～ 6
100.0%

생산기관
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
충청남도 당진시
100 

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 100
100.0%

Length

2023-12-12T09:41:07.138717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:41:07.223517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충청남도 100
50.0%
당진시 100
50.0%

생산연도
Real number (ℝ)

HIGH CORRELATION 

Distinct60
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1995.72
Minimum1962
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T09:41:07.321994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1962
5-th percentile1966.95
Q11981.75
median1999
Q32010
95-th percentile2017.05
Maximum2021
Range59
Interquartile range (IQR)28.25

Descriptive statistics

Standard deviation16.434185
Coefficient of variation (CV)0.0082347146
Kurtosis-1.0319731
Mean1995.72
Median Absolute Deviation (MAD)13
Skewness-0.40277538
Sum199572
Variance270.08242
MonotonicityNot monotonic
2023-12-12T09:41:07.482994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1997 5
 
5.0%
2001 4
 
4.0%
2012 4
 
4.0%
2013 4
 
4.0%
2016 3
 
3.0%
1983 3
 
3.0%
2011 3
 
3.0%
2005 3
 
3.0%
2002 3
 
3.0%
2009 3
 
3.0%
Other values (50) 65
65.0%
ValueCountFrequency (%)
1962 1
1.0%
1963 1
1.0%
1964 1
1.0%
1965 1
1.0%
1966 1
1.0%
1967 1
1.0%
1968 1
1.0%
1969 1
1.0%
1970 1
1.0%
1971 1
1.0%
ValueCountFrequency (%)
2021 1
 
1.0%
2020 1
 
1.0%
2019 1
 
1.0%
2018 2
2.0%
2017 2
2.0%
2016 3
3.0%
2015 2
2.0%
2014 1
 
1.0%
2013 4
4.0%
2012 4
4.0%

종료연도
Real number (ℝ)

HIGH CORRELATION 

Distinct60
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1995.72
Minimum1962
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T09:41:07.635499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1962
5-th percentile1966.95
Q11981.75
median1999
Q32010
95-th percentile2017.05
Maximum2021
Range59
Interquartile range (IQR)28.25

Descriptive statistics

Standard deviation16.434185
Coefficient of variation (CV)0.0082347146
Kurtosis-1.0319731
Mean1995.72
Median Absolute Deviation (MAD)13
Skewness-0.40277538
Sum199572
Variance270.08242
MonotonicityNot monotonic
2023-12-12T09:41:07.769803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1997 5
 
5.0%
2001 4
 
4.0%
2012 4
 
4.0%
2013 4
 
4.0%
2016 3
 
3.0%
1983 3
 
3.0%
2011 3
 
3.0%
2005 3
 
3.0%
2002 3
 
3.0%
2009 3
 
3.0%
Other values (50) 65
65.0%
ValueCountFrequency (%)
1962 1
1.0%
1963 1
1.0%
1964 1
1.0%
1965 1
1.0%
1966 1
1.0%
1967 1
1.0%
1968 1
1.0%
1969 1
1.0%
1970 1
1.0%
1971 1
1.0%
ValueCountFrequency (%)
2021 1
 
1.0%
2020 1
 
1.0%
2019 1
 
1.0%
2018 2
2.0%
2017 2
2.0%
2016 3
3.0%
2015 2
2.0%
2014 1
 
1.0%
2013 4
4.0%
2012 4
4.0%

분류번호
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
100 

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 (%)
0 100
100.0%

Length

2023-12-12T09:41:07.885560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:41:07.987978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

형태
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
인쇄자료
99 
CD
 
1

Length

Max length4
Median length4
Mean length3.98
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
인쇄자료 99
99.0%
CD 1
 
1.0%

Length

2023-12-12T09:41:08.111547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:41:08.213905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인쇄자료 99
99.0%
cd 1
 
1.0%

유형
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
정부간행물
100 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정부간행물 100
100.0%

Length

2023-12-12T09:41:08.317128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:41:08.431306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정부간행물 100
100.0%

보존기간
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
영구
100 

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 100
100.0%

Length

2023-12-12T09:41:08.550022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:41:08.687810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영구 100
100.0%

페이지정보
Text

Distinct83
Distinct (%)83.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-12T09:41:08.971254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length5.13
Min length5

Characters and Unicode

Total characters513
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique68 ?
Unique (%)68.0%

Sample

1st row1~117
2nd row1~132
3rd row1~138
4th row1~169
5th row1~257
ValueCountFrequency (%)
1~166 3
 
3.0%
1~170 3
 
3.0%
1~160 2
 
2.0%
1~570 2
 
2.0%
1~146 2
 
2.0%
1~644 2
 
2.0%
1~402 2
 
2.0%
1~396 2
 
2.0%
1~408 2
 
2.0%
1~664 2
 
2.0%
Other values (73) 78
78.0%
2023-12-12T09:41:09.379994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 158
30.8%
~ 100
19.5%
6 54
 
10.5%
2 51
 
9.9%
4 36
 
7.0%
0 28
 
5.5%
8 22
 
4.3%
7 19
 
3.7%
5 16
 
3.1%
9 15
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 413
80.5%
Math Symbol 100
 
19.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 158
38.3%
6 54
 
13.1%
2 51
 
12.3%
4 36
 
8.7%
0 28
 
6.8%
8 22
 
5.3%
7 19
 
4.6%
5 16
 
3.9%
9 15
 
3.6%
3 14
 
3.4%
Math Symbol
ValueCountFrequency (%)
~ 100
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 513
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 158
30.8%
~ 100
19.5%
6 54
 
10.5%
2 51
 
9.9%
4 36
 
7.0%
0 28
 
5.5%
8 22
 
4.3%
7 19
 
3.7%
5 16
 
3.1%
9 15
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 513
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 158
30.8%
~ 100
19.5%
6 54
 
10.5%
2 51
 
9.9%
4 36
 
7.0%
0 28
 
5.5%
8 22
 
4.3%
7 19
 
3.7%
5 16
 
3.1%
9 15
 
2.9%

서고정보
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
당진시 자료보존관
100 

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 100
100.0%

Length

2023-12-12T09:41:09.536968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:41:09.644578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
당진시 100
50.0%
자료보존관 100
50.0%

비고
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

기타사항
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
목차정보 TOC / TEXT
100 

Length

Max length15
Median length15
Mean length15
Min length15

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row목차정보 TOC / TEXT
2nd row목차정보 TOC / TEXT
3rd row목차정보 TOC / TEXT
4th row목차정보 TOC / TEXT
5th row목차정보 TOC / TEXT

Common Values

ValueCountFrequency (%)
목차정보 TOC / TEXT 100
100.0%

Length

2023-12-12T09:41:09.748537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:41:09.877214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
목차정보 100
25.0%
toc 100
25.0%
100
25.0%
text 100
25.0%

디지털화
Real number (ℝ)

HIGH CORRELATION 

Distinct84
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean488.1
Minimum42
Maximum2226
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T09:41:09.978680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum42
5-th percentile131.85
Q1169.75
median295
Q3644
95-th percentile1491.8
Maximum2226
Range2184
Interquartile range (IQR)474.25

Descriptive statistics

Standard deviation440.20336
Coefficient of variation (CV)0.90187126
Kurtosis2.5718458
Mean488.1
Median Absolute Deviation (MAD)134.5
Skewness1.6787184
Sum48810
Variance193779
MonotonicityNot monotonic
2023-12-12T09:41:10.116921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
166 3
 
3.0%
170 3
 
3.0%
570 2
 
2.0%
146 2
 
2.0%
408 2
 
2.0%
396 2
 
2.0%
664 2
 
2.0%
220 2
 
2.0%
162 2
 
2.0%
642 2
 
2.0%
Other values (74) 78
78.0%
ValueCountFrequency (%)
42 1
1.0%
112 1
1.0%
117 1
1.0%
124 1
1.0%
129 1
1.0%
132 1
1.0%
138 1
1.0%
146 2
2.0%
156 2
2.0%
158 1
1.0%
ValueCountFrequency (%)
2226 1
1.0%
1704 1
1.0%
1624 1
1.0%
1586 1
1.0%
1526 1
1.0%
1490 1
1.0%
1478 1
1.0%
1406 1
1.0%
1226 1
1.0%
1210 1
1.0%

Interactions

2023-12-12T09:41:02.111910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:41:01.219676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:41:01.497873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:41:01.805803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:41:02.181023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:41:01.286218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:41:01.571517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:41:01.885342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:41:02.250117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:41:01.360312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:41:01.651030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:41:01.962852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:41:02.318882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:41:01.435950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:41:01.726112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:41:02.034449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:41:10.218272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번관리번호파일이름등록번호건ID철제목생산연도종료연도형태페이지정보디지털화
순번1.0001.0001.0001.0001.0001.0000.9570.9570.0410.9600.653
관리번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
파일이름1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
등록번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
건ID1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
철제목1.0001.0001.0001.0001.0001.0001.0001.0001.0000.9961.000
생산연도0.9571.0001.0001.0001.0001.0001.0001.0000.0000.9540.515
종료연도0.9571.0001.0001.0001.0001.0001.0001.0000.0000.9540.515
형태0.0411.0001.0001.0001.0001.0000.0000.0001.0001.0000.516
페이지정보0.9601.0001.0001.0001.0000.9960.9540.9541.0001.0000.999
디지털화0.6531.0001.0001.0001.0001.0000.5150.5150.5160.9991.000
2023-12-12T09:41:10.368746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번생산연도종료연도디지털화형태
순번1.0000.8790.8790.7040.000
생산연도0.8791.0001.0000.6500.000
종료연도0.8791.0001.0000.6500.000
디지털화0.7040.6500.6501.0000.498
형태0.0000.0000.0000.4981.000

Missing values

2023-12-12T09:41:02.418880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:41:02.641062image/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

순번관리번호파일이름등록번호건ID철제목생산기관생산연도종료연도분류번호형태유형보존기간페이지정보서고정보비고기타사항디지털화
01C136_1962 군세일람_001C136_1962 군세일람_001.pdfC136_A000001C136-2022_1962 군세일람_001군세일람 1962충청남도 당진시196219620인쇄자료정부간행물영구1~117당진시 자료보존관<NA>목차정보 TOC / TEXT117
12C136_1963 군세일람_001C136_1963 군세일람_001.pdfC136_A000002C136-2022_1963 군세일람_001군세일람 1963충청남도 당진시196319630인쇄자료정부간행물영구1~132당진시 자료보존관<NA>목차정보 TOC / TEXT132
23C136_1964 군세일람_001C136_1964 군세일람_001.pdfC136_A000003C136-2022_1964 군세일람_001군세일람 1964충청남도 당진시196419640인쇄자료정부간행물영구1~138당진시 자료보존관<NA>목차정보 TOC / TEXT138
34C136_1965 군세일람_001C136_1965 군세일람_001.pdfC136_A000004C136-2022_1965 군세일람_001군세일람 1965충청남도 당진시196519650인쇄자료정부간행물영구1~169당진시 자료보존관<NA>목차정보 TOC / TEXT169
45C136_1966 군세일람_001C136_1966 군세일람_001.pdfC136_A000005C136-2022_1966 군세일람_001군세일람 1966충청남도 당진시196619660인쇄자료정부간행물영구1~257당진시 자료보존관<NA>목차정보 TOC / TEXT257
56C136_1967 통계연보_001C136_1967 통계연보_001.pdfC136_A000006C136-2022_1967 통계연보_001통계연보 1967충청남도 당진시196719670인쇄자료정부간행물영구1~248당진시 자료보존관<NA>목차정보 TOC / TEXT248
67C136_1968 통계연보_001C136_1968 통계연보_001.pdfC136_A000007C136-2022_1968 통계연보_001통계연보 1968충청남도 당진시196819680인쇄자료정부간행물영구1~246당진시 자료보존관<NA>목차정보 TOC / TEXT246
78C136_1969 통계연보_001C136_1969 통계연보_001.pdfC136_A000008C136-2022_1969 통계연보_001통계연보 1969충청남도 당진시196919690인쇄자료정부간행물영구1~161당진시 자료보존관<NA>목차정보 TOC / TEXT161
89C136_1970 통계연보_001C136_1970 통계연보_001.pdfC136_A000009C136-2022_1970 통계연보_001통계연보 1970충청남도 당진시197019700인쇄자료정부간행물영구1~250당진시 자료보존관<NA>목차정보 TOC / TEXT250
910C136_1971 통계연보_001C136_1971 통계연보_001.pdfC136_A000010C136-2022_1971 통계연보_001통계연보 1971충청남도 당진시197119710인쇄자료정부간행물영구1~237당진시 자료보존관<NA>목차정보 TOC / TEXT237
순번관리번호파일이름등록번호건ID철제목생산기관생산연도종료연도분류번호형태유형보존기간페이지정보서고정보비고기타사항디지털화
9091C136_2011 당진읍지_001C136_2011 당진읍지_001.pdfC136_A000091C136-2022_2011 당진읍지_001당진읍지 2011충청남도 당진시201120110인쇄자료정부간행물영구1~2226당진시 자료보존관<NA>목차정보 TOC / TEXT2226
9192C136_2013 당진시 미래 문화유산 구축사업_001C136_2013 당진시 미래 문화유산 구축사업_001.pdfC136_A000092C136-2022_2013 당진시 미래 문화유산 구축사업_001당진시 미래 문화유산 구축사업 2013충청남도 당진시201320130인쇄자료정부간행물영구1~112당진시 자료보존관<NA>목차정보 TOC / TEXT112
9293C136_2012 새로운 100년을 시작하는 명품도시 당진시 출범_001C136_2012 새로운 100년을 시작하는 명품도시 당진시 출범_001.pdfC136_A000093C136-2022_2012 새로운 100년을 시작하는 명품도시 당진시 출범_001새로운 년을 시작하는 명품도시 당진시 출범 2012 새로운 100년을 시작하는 명품도시 당진시 출범 2012충청남도 당진시201220120인쇄자료정부간행물영구1~304당진시 자료보존관<NA>목차정보 TOC / TEXT304
9394C136_2012 정미면지_001C136_2012 정미면지_001.pdfC136_A000094C136-2022_2012 정미면지_001정미면지 2012충청남도 당진시201220120인쇄자료정부간행물영구1~1106당진시 자료보존관<NA>목차정보 TOC / TEXT1106
9495C136_2013 송산면지_001C136_2013 송산면지_001.pdfC136_A000095C136-2022_2013 송산면지_001송산면지 2013충청남도 당진시201320130인쇄자료정부간행물영구1~1406당진시 자료보존관<NA>목차정보 TOC / TEXT1406
9596C136_2013 유서깊은 면천_001C136_2013 유서깊은 면천_001.pdfC136_A000096C136-2022_2013 유서깊은 면천_001유서깊은 면천 2013충청남도 당진시201320130인쇄자료정부간행물영구1~1624당진시 자료보존관<NA>목차정보 TOC / TEXT1624
9697C136_2015 석문면지_001C136_2015 석문면지_001.pdfC136_A000097C136-2022_2015 석문면지_001석문면지 2015충청남도 당진시201520150인쇄자료정부간행물영구1~1490당진시 자료보존관<NA>목차정보 TOC / TEXT1490
9798C136_2016 순성면지_001C136_2016 순성면지_001.pdfC136_A000098C136-2022_2016 순성면지_001순성면지 2016충청남도 당진시201620160인쇄자료정부간행물영구1~1226당진시 자료보존관<NA>목차정보 TOC / TEXT1226
9899C136_2017 신평면지_001C136_2017 신평면지_001.pdfC136_A000099C136-2022_2017 신평면지_001신평면지 2017충청남도 당진시201720170CD정부간행물영구1~1704당진시 자료보존관<NA>목차정보 TOC / TEXT1704
99100C136_당진근현대 문화유산 정비체계 구축_001C136_당진 근현대 문화유산 정비체계 구축_001.pdfC136_A000100C136-2022_당진 근현대 문화유산 정비체계 구축_001당진 근현대 문화유산 정비체계 구축충청남도 당진시201620160인쇄자료정부간행물영구1~129당진시 자료보존관<NA>목차정보 TOC / TEXT129