Overview

Dataset statistics

Number of variables6
Number of observations1321
Missing cells264
Missing cells (%)3.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory62.1 KiB
Average record size in memory48.1 B

Variable types

Text5
Categorical1

Dataset

Description국립소록도병원 한센병박물관이 보유중인 한센병 및 소록도 역사관련 박물관자료로 생활박물, 행정박물, 의학박물 세분에 대한 목록을 제공합니다.
Author공공데이터포털
URLhttps://www.data.go.kr/data/15005877/fileData.do

Alerts

시대 is highly imbalanced (64.1%)Imbalance
자료명 has 18 (1.4%) missing valuesMissing
재질 has 57 (4.3%) missing valuesMissing
크기(cm) has 56 (4.2%) missing valuesMissing
소장경위 has 133 (10.1%) missing valuesMissing
관리번호 has unique valuesUnique

Reproduction

Analysis started2024-04-17 14:45:28.901023
Analysis finished2024-04-17 14:45:29.643311
Duration0.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리번호
Text

UNIQUE 

Distinct1321
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
2024-04-17T23:45:29.859293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters11889
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

Unique1321 ?
Unique (%)100.0%

Sample

1st row0101-0001
2nd row0101-0002
3rd row0101-0003
4th row0101-0004
5th row0101-0005
ValueCountFrequency (%)
0101-0001 1
 
0.1%
0103-0192 1
 
0.1%
0103-0190 1
 
0.1%
0103-0189 1
 
0.1%
0103-0188 1
 
0.1%
0103-0187 1
 
0.1%
0103-0186 1
 
0.1%
0103-0185 1
 
0.1%
0103-0184 1
 
0.1%
0103-0183 1
 
0.1%
Other values (1311) 1311
99.2%
2024-04-17T23:45:30.224151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4537
38.2%
1 2369
19.9%
- 1321
 
11.1%
3 1090
 
9.2%
2 740
 
6.2%
4 429
 
3.6%
5 363
 
3.1%
6 286
 
2.4%
7 252
 
2.1%
8 251
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10568
88.9%
Dash Punctuation 1321
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4537
42.9%
1 2369
22.4%
3 1090
 
10.3%
2 740
 
7.0%
4 429
 
4.1%
5 363
 
3.4%
6 286
 
2.7%
7 252
 
2.4%
8 251
 
2.4%
9 251
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 1321
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11889
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4537
38.2%
1 2369
19.9%
- 1321
 
11.1%
3 1090
 
9.2%
2 740
 
6.2%
4 429
 
3.6%
5 363
 
3.1%
6 286
 
2.4%
7 252
 
2.1%
8 251
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11889
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4537
38.2%
1 2369
19.9%
- 1321
 
11.1%
3 1090
 
9.2%
2 740
 
6.2%
4 429
 
3.6%
5 363
 
3.1%
6 286
 
2.4%
7 252
 
2.1%
8 251
 
2.1%

자료명
Text

MISSING 

Distinct1076
Distinct (%)82.6%
Missing18
Missing (%)1.4%
Memory size10.4 KiB
2024-04-17T23:45:30.476020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length74
Median length36
Mean length8.4182655
Min length1

Characters and Unicode

Total characters10969
Distinct characters603
Distinct categories10 ?
Distinct scripts5 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique954 ?
Unique (%)73.2%

Sample

1st row꽹과리(채 포함)
2nd row징(채 포함)
3rd row징
4th row장구
5th row북
ValueCountFrequency (%)
트로피 46
 
1.9%
원장 32
 
1.3%
사진 31
 
1.3%
액자 29
 
1.2%
성실중고등성경학교 21
 
0.9%
테니스 20
 
0.8%
방명록 17
 
0.7%
우승 15
 
0.6%
성실고등학교 15
 
0.6%
준우승 15
 
0.6%
Other values (1444) 2168
90.0%
2024-04-17T23:45:30.853251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1109
 
10.1%
1 232
 
2.1%
자 204
 
1.9%
( 189
 
1.7%
) 188
 
1.7%
사 170
 
1.5%
년 162
 
1.5%
기 161
 
1.5%
2 148
 
1.3%
대 147
 
1.3%
Other values (593) 8259
75.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7980
72.8%
Space Separator 1109
 
10.1%
Decimal Number 995
 
9.1%
Lowercase Letter 267
 
2.4%
Open Punctuation 189
 
1.7%
Close Punctuation 188
 
1.7%
Dash Punctuation 144
 
1.3%
Uppercase Letter 51
 
0.5%
Other Punctuation 31
 
0.3%
Math Symbol 15
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
자 204
 
2.6%
사 170
 
2.1%
년 162
 
2.0%
기 161
 
2.0%
대 147
 
1.8%
도 146
 
1.8%
장 135
 
1.7%
교 135
 
1.7%
액 130
 
1.6%
원 126
 
1.6%
Other values (530) 6464
81.0%
Lowercase Letter
ValueCountFrequency (%)
e 37
13.9%
o 26
 
9.7%
r 22
 
8.2%
t 22
 
8.2%
i 20
 
7.5%
n 18
 
6.7%
a 15
 
5.6%
l 13
 
4.9%
s 13
 
4.9%
c 11
 
4.1%
Other values (13) 70
26.2%
Uppercase Letter
ValueCountFrequency (%)
A 7
13.7%
S 6
11.8%
C 5
9.8%
D 4
 
7.8%
T 4
 
7.8%
R 4
 
7.8%
L 3
 
5.9%
B 3
 
5.9%
P 2
 
3.9%
F 2
 
3.9%
Other values (10) 11
21.6%
Decimal Number
ValueCountFrequency (%)
1 232
23.3%
2 148
14.9%
9 141
14.2%
0 137
13.8%
6 82
 
8.2%
3 58
 
5.8%
7 58
 
5.8%
8 56
 
5.6%
4 42
 
4.2%
5 41
 
4.1%
Other Punctuation
ValueCountFrequency (%)
, 15
48.4%
. 13
41.9%
' 3
 
9.7%
Math Symbol
ValueCountFrequency (%)
~ 13
86.7%
> 1
 
6.7%
< 1
 
6.7%
Space Separator
ValueCountFrequency (%)
1109
100.0%
Open Punctuation
ValueCountFrequency (%)
( 189
100.0%
Close Punctuation
ValueCountFrequency (%)
) 188
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 144
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7970
72.7%
Common 2671
 
24.4%
Latin 318
 
2.9%
Han 7
 
0.1%
Hiragana 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
자 204
 
2.6%
사 170
 
2.1%
년 162
 
2.0%
기 161
 
2.0%
대 147
 
1.8%
도 146
 
1.8%
장 135
 
1.7%
교 135
 
1.7%
액 130
 
1.6%
원 126
 
1.6%
Other values (520) 6454
81.0%
Latin
ValueCountFrequency (%)
e 37
 
11.6%
o 26
 
8.2%
r 22
 
6.9%
t 22
 
6.9%
i 20
 
6.3%
n 18
 
5.7%
a 15
 
4.7%
l 13
 
4.1%
s 13
 
4.1%
c 11
 
3.5%
Other values (33) 121
38.1%
Common
ValueCountFrequency (%)
1109
41.5%
1 232
 
8.7%
( 189
 
7.1%
) 188
 
7.0%
2 148
 
5.5%
- 144
 
5.4%
9 141
 
5.3%
0 137
 
5.1%
6 82
 
3.1%
3 58
 
2.2%
Other values (10) 243
 
9.1%
Han
ValueCountFrequency (%)
文 1
14.3%
初 1
14.3%
法 1
14.3%
英 1
14.3%
證 1
14.3%
名 1
14.3%
選 1
14.3%
Hiragana
ValueCountFrequency (%)
ら 1
33.3%
か 1
33.3%
の 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7970
72.7%
ASCII 2989
 
27.2%
CJK 7
 
0.1%
Hiragana 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1109
37.1%
1 232
 
7.8%
( 189
 
6.3%
) 188
 
6.3%
2 148
 
5.0%
- 144
 
4.8%
9 141
 
4.7%
0 137
 
4.6%
6 82
 
2.7%
3 58
 
1.9%
Other values (53) 561
18.8%
Hangul
ValueCountFrequency (%)
자 204
 
2.6%
사 170
 
2.1%
년 162
 
2.0%
기 161
 
2.0%
대 147
 
1.8%
도 146
 
1.8%
장 135
 
1.7%
교 135
 
1.7%
액 130
 
1.6%
원 126
 
1.6%
Other values (520) 6454
81.0%
CJK
ValueCountFrequency (%)
文 1
14.3%
初 1
14.3%
法 1
14.3%
英 1
14.3%
證 1
14.3%
名 1
14.3%
選 1
14.3%
Hiragana
ValueCountFrequency (%)
ら 1
33.3%
か 1
33.3%
の 1
33.3%

재질
Text

MISSING 

Distinct58
Distinct (%)4.6%
Missing57
Missing (%)4.3%
Memory size10.4 KiB
2024-04-17T23:45:30.982882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length2
Mean length3.9699367
Min length1

Characters and Unicode

Total characters5018
Distinct characters45
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)1.9%

Sample

1st row금속
2nd row금속
3rd row금속
4th row목재, 가죽
5th row목재,가죽
ValueCountFrequency (%)
지류 521
28.7%
목재 394
21.7%
금속 377
20.7%
유리 240
13.2%
플라스틱 124
 
6.8%
직물 68
 
3.7%
토제 33
 
1.8%
섬유 14
 
0.8%
콘크리트 11
 
0.6%
가죽 10
 
0.6%
Other values (14) 26
 
1.4%
2024-04-17T23:45:31.236378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
555
11.1%
, 552
11.0%
지 522
10.4%
류 521
10.4%
목 395
7.9%
재 395
7.9%
속 377
7.5%
금 377
7.5%
유 254
 
5.1%
리 251
 
5.0%
Other values (35) 819
16.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3911
77.9%
Space Separator 555
 
11.1%
Other Punctuation 552
 
11.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 522
13.3%
류 521
13.3%
목 395
10.1%
재 395
10.1%
속 377
9.6%
금 377
9.6%
유 254
6.5%
리 251
6.4%
라 127
 
3.2%
틱 124
 
3.2%
Other values (33) 568
14.5%
Space Separator
ValueCountFrequency (%)
555
100.0%
Other Punctuation
ValueCountFrequency (%)
, 552
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3911
77.9%
Common 1107
 
22.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 522
13.3%
류 521
13.3%
목 395
10.1%
재 395
10.1%
속 377
9.6%
금 377
9.6%
유 254
6.5%
리 251
6.4%
라 127
 
3.2%
틱 124
 
3.2%
Other values (33) 568
14.5%
Common
ValueCountFrequency (%)
555
50.1%
, 552
49.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3911
77.9%
ASCII 1107
 
22.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
555
50.1%
, 552
49.9%
Hangul
ValueCountFrequency (%)
지 522
13.3%
류 521
13.3%
목 395
10.1%
재 395
10.1%
속 377
9.6%
금 377
9.6%
유 254
6.5%
리 251
6.4%
라 127
 
3.2%
틱 124
 
3.2%
Other values (33) 568
14.5%

크기(cm)
Text

MISSING 

Distinct904
Distinct (%)71.5%
Missing56
Missing (%)4.2%
Memory size10.4 KiB
2024-04-17T23:45:31.463163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length32
Mean length13.368379
Min length3

Characters and Unicode

Total characters16911
Distinct characters76
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique776 ?
Unique (%)61.3%

Sample

1st row지름 21
2nd row지름 38
3rd row지름 28
4th row길이 53.3ⅹ지름44
5th row지름 31ⅹ둘레 110
ValueCountFrequency (%)
가로 934
 
21.9%
길이 204
 
4.8%
지름 134
 
3.1%
액자 111
 
2.6%
높이 96
 
2.2%
25 77
 
1.8%
ⅹ 71
 
1.7%
35ⅹ세로 63
 
1.5%
40사진 53
 
1.2%
55ⅹ세로 52
 
1.2%
Other values (726) 2472
57.9%
2024-04-17T23:45:31.805006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3038
18.0%
로 1896
11.2%
ⅹ 1300
 
7.7%
2 1021
 
6.0%
5 1014
 
6.0%
가 954
 
5.6%
세 942
 
5.6%
1 878
 
5.2%
. 741
 
4.4%
3 651
 
3.8%
Other values (66) 4476
26.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5911
35.0%
Other Letter 5907
34.9%
Space Separator 3038
18.0%
Letter Number 1300
 
7.7%
Other Punctuation 753
 
4.5%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 1896
32.1%
가 954
16.2%
세 942
15.9%
이 622
 
10.5%
높 406
 
6.9%
길 214
 
3.6%
지 142
 
2.4%
름 142
 
2.4%
액 111
 
1.9%
자 111
 
1.9%
Other values (49) 367
 
6.2%
Decimal Number
ValueCountFrequency (%)
2 1021
17.3%
5 1014
17.2%
1 878
14.9%
3 651
11.0%
4 532
9.0%
6 426
7.2%
7 416
7.0%
8 381
 
6.4%
9 302
 
5.1%
0 290
 
4.9%
Other Punctuation
ValueCountFrequency (%)
. 741
98.4%
: 7
 
0.9%
, 5
 
0.7%
Math Symbol
ValueCountFrequency (%)
~ 1
50.0%
× 1
50.0%
Space Separator
ValueCountFrequency (%)
3038
100.0%
Letter Number
ValueCountFrequency (%)
ⅹ 1300
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9704
57.4%
Hangul 5907
34.9%
Latin 1300
 
7.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 1896
32.1%
가 954
16.2%
세 942
15.9%
이 622
 
10.5%
높 406
 
6.9%
길 214
 
3.6%
지 142
 
2.4%
름 142
 
2.4%
액 111
 
1.9%
자 111
 
1.9%
Other values (49) 367
 
6.2%
Common
ValueCountFrequency (%)
3038
31.3%
2 1021
 
10.5%
5 1014
 
10.4%
1 878
 
9.0%
. 741
 
7.6%
3 651
 
6.7%
4 532
 
5.5%
6 426
 
4.4%
7 416
 
4.3%
8 381
 
3.9%
Other values (6) 606
 
6.2%
Latin
ValueCountFrequency (%)
ⅹ 1300
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9703
57.4%
Hangul 5907
34.9%
Number Forms 1300
 
7.7%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3038
31.3%
2 1021
 
10.5%
5 1014
 
10.5%
1 878
 
9.0%
. 741
 
7.6%
3 651
 
6.7%
4 532
 
5.5%
6 426
 
4.4%
7 416
 
4.3%
8 381
 
3.9%
Other values (5) 605
 
6.2%
Hangul
ValueCountFrequency (%)
로 1896
32.1%
가 954
16.2%
세 942
15.9%
이 622
 
10.5%
높 406
 
6.9%
길 214
 
3.6%
지 142
 
2.4%
름 142
 
2.4%
액 111
 
1.9%
자 111
 
1.9%
Other values (49) 367
 
6.2%
Number Forms
ValueCountFrequency (%)
ⅹ 1300
100.0%
None
ValueCountFrequency (%)
× 1
100.0%

시대
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
현대
1142 
<NA>
129 
근현대
 
38
근대
 
12

Length

Max length4
Median length2
Mean length2.2240727
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
현대 1142
86.4%
<NA> 129
 
9.8%
근현대 38
 
2.9%
근대 12
 
0.9%

Length

2024-04-17T23:45:31.919822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T23:45:32.011534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
현대 1142
86.4%
na 129
 
9.8%
근현대 38
 
2.9%
근대 12
 
0.9%

소장경위
Text

MISSING 

Distinct51
Distinct (%)4.3%
Missing133
Missing (%)10.1%
Memory size10.4 KiB
2024-04-17T23:45:32.166574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length2
Mean length3.6919192
Min length2

Characters and Unicode

Total characters4386
Distinct characters93
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)1.8%

Sample

1st row미상
2nd row미상
3rd row미상
4th row미상
5th row미상
ValueCountFrequency (%)
수집 537
34.2%
입수 191
 
12.2%
후 191
 
12.2%
활용종료 186
 
11.8%
기증 100
 
6.4%
생산 95
 
6.0%
취득 58
 
3.7%
미상 37
 
2.4%
기부 30
 
1.9%
기증(정기택 21
 
1.3%
Other values (45) 126
 
8.0%
2024-04-17T23:45:32.420645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
수 742
16.9%
집 542
12.4%
384
 
8.8%
기 294
 
6.7%
증 237
 
5.4%
입 193
 
4.4%
용 192
 
4.4%
종 192
 
4.4%
료 191
 
4.4%
후 191
 
4.4%
Other values (83) 1228
28.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3740
85.3%
Space Separator 384
 
8.8%
Open Punctuation 131
 
3.0%
Close Punctuation 131
 
3.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 742
19.8%
집 542
14.5%
기 294
 
7.9%
증 237
 
6.3%
입 193
 
5.2%
용 192
 
5.1%
종 192
 
5.1%
료 191
 
5.1%
후 191
 
5.1%
활 186
 
5.0%
Other values (80) 780
20.9%
Space Separator
ValueCountFrequency (%)
384
100.0%
Open Punctuation
ValueCountFrequency (%)
( 131
100.0%
Close Punctuation
ValueCountFrequency (%)
) 131
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3740
85.3%
Common 646
 
14.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 742
19.8%
집 542
14.5%
기 294
 
7.9%
증 237
 
6.3%
입 193
 
5.2%
용 192
 
5.1%
종 192
 
5.1%
료 191
 
5.1%
후 191
 
5.1%
활 186
 
5.0%
Other values (80) 780
20.9%
Common
ValueCountFrequency (%)
384
59.4%
( 131
 
20.3%
) 131
 
20.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3740
85.3%
ASCII 646
 
14.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
수 742
19.8%
집 542
14.5%
기 294
 
7.9%
증 237
 
6.3%
입 193
 
5.2%
용 192
 
5.1%
종 192
 
5.1%
료 191
 
5.1%
후 191
 
5.1%
활 186
 
5.0%
Other values (80) 780
20.9%
ASCII
ValueCountFrequency (%)
384
59.4%
( 131
 
20.3%
) 131
 
20.3%

Correlations

2024-04-17T23:45:32.492137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
재질시대소장경위
재질1.0000.2800.852
시대0.2801.0000.406
소장경위0.8520.4061.000

Missing values

2024-04-17T23:45:29.423088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-17T23:45:29.509938image/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.
2024-04-17T23:45:29.594610image/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

관리번호자료명재질크기(cm)시대소장경위
00101-0001꽹과리(채 포함)금속지름 21현대미상
10101-0002징(채 포함)금속지름 38현대미상
20101-0003징금속지름 28현대미상
30101-0004장구목재, 가죽길이 53.3ⅹ지름44현대미상
40101-0005북목재,가죽지름 31ⅹ둘레 110현대미상
50101-0006북목재, 가죽지름 29ⅹ둘레 104현대미상
60101-0007소고(8점)목재, 가죽지름 21ⅹ길이 34.5현대미상
70101-0008경대(거울 망실목재가로 32ⅹ세로 17ⅹ높이 15현대미상
80101-0009주판목재가로 39ⅹ세로 6.5현대미상
90101-0010주판목재가로 25ⅹ세로 7.5현대미상
관리번호자료명재질크기(cm)시대소장경위
13110103-0618기증품(사슴)금속가로 52ⅹ세로 15ⅹ높이 43.5현대기증
13120103-0619마리안느, 마가렛 감사패금속가로 29ⅹ세로 38.5ⅹ두께 4.5가로 31ⅹ세로 21.5현대기증
13130103-0620감사패유리가로 20ⅹ세로 20ⅹ두께 7.2현대기증
13140103-0621공람문서지류<NA>현대활용종료 후 입수
13150103-0622기증품(수예)섬유가로 34ⅹ세로 28현대기증
13160103-0623시계금속, 목재지름 35현대기증
13170103-0624구명환플라스틱<NA>현대수집
13180103-0625소방차복합<NA>현대활용종료 후 입수
13190103-0626목검목재길이 95현대수집
13200103-0627순천교도소 구 소록도지소 상량문목재길이 90근현대수집