Overview

Dataset statistics

Number of variables9
Number of observations103
Missing cells4
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.4 KiB
Average record size in memory73.3 B

Variable types

Categorical5
Text3
DateTime1

Dataset

Description전라남도농업박물관에서 소장하고 있는 각종 농경도구를 비롯한 전통 생활민속용품 등에 대한 3D 데이터를 조회할 수 있습니다.
Author전라남도
URLhttps://www.data.go.kr/data/15095247/fileData.do

Alerts

소장구분명 is highly overall correlated with 명칭 and 3 other fieldsHigh correlation
재질 is highly overall correlated with 소장구분명 and 2 other fieldsHigh correlation
입수연유 is highly overall correlated with 소장구분명High correlation
명칭 is highly overall correlated with 소장구분명 and 1 other fieldsHigh correlation
국적-시대 is highly overall correlated with 소장구분명 and 1 other fieldsHigh correlation
소장구분명 is highly imbalanced (92.1%)Imbalance

Reproduction

Analysis started2023-12-12 15:56:37.405482
Analysis finished2023-12-12 15:56:38.729247
Duration1.32 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

소장구분명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
공립-전라남도농업박물관-전라남도농업박물관
102 
<NA>
 
1

Length

Max length22
Median length22
Mean length21.825243
Min length4

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row공립-전라남도농업박물관-전라남도농업박물관
2nd row공립-전라남도농업박물관-전라남도농업박물관
3rd row공립-전라남도농업박물관-전라남도농업박물관
4th row공립-전라남도농업박물관-전라남도농업박물관
5th row공립-전라남도농업박물관-전라남도농업박물관

Common Values

ValueCountFrequency (%)
공립-전라남도농업박물관-전라남도농업박물관 102
99.0%
<NA> 1
 
1.0%

Length

2023-12-13T00:56:38.836529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:56:38.955932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공립-전라남도농업박물관-전라남도농업박물관 102
99.0%
na 1
 
1.0%

소장품번호
Text

Distinct102
Distinct (%)100.0%
Missing1
Missing (%)1.0%
Memory size956.0 B
2023-12-13T00:56:39.297520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters918
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique102 ?
Unique (%)100.0%

Sample

1st rowjam000069
2nd rowjam000077
3rd rowjam000079
4th rowjam000084
5th rowjam000089
ValueCountFrequency (%)
jam000069 1
 
1.0%
jam003653 1
 
1.0%
jam003927 1
 
1.0%
jam003903 1
 
1.0%
jam003900 1
 
1.0%
jam003899 1
 
1.0%
jam003872 1
 
1.0%
jam003825 1
 
1.0%
jam003824 1
 
1.0%
jam003821 1
 
1.0%
Other values (92) 92
90.2%
2023-12-13T00:56:39.772849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 274
29.8%
j 102
 
11.1%
a 102
 
11.1%
m 102
 
11.1%
3 65
 
7.1%
1 46
 
5.0%
9 41
 
4.5%
7 39
 
4.2%
4 33
 
3.6%
2 32
 
3.5%
Other values (3) 82
 
8.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 612
66.7%
Lowercase Letter 306
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 274
44.8%
3 65
 
10.6%
1 46
 
7.5%
9 41
 
6.7%
7 39
 
6.4%
4 33
 
5.4%
2 32
 
5.2%
8 30
 
4.9%
6 26
 
4.2%
5 26
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
j 102
33.3%
a 102
33.3%
m 102
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common 612
66.7%
Latin 306
33.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 274
44.8%
3 65
 
10.6%
1 46
 
7.5%
9 41
 
6.7%
7 39
 
6.4%
4 33
 
5.4%
2 32
 
5.2%
8 30
 
4.9%
6 26
 
4.2%
5 26
 
4.2%
Latin
ValueCountFrequency (%)
j 102
33.3%
a 102
33.3%
m 102
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 918
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 274
29.8%
j 102
 
11.1%
a 102
 
11.1%
m 102
 
11.1%
3 65
 
7.1%
1 46
 
5.0%
9 41
 
4.5%
7 39
 
4.2%
4 33
 
3.6%
2 32
 
3.5%
Other values (3) 82
 
8.9%

유물 3D URL
Text

Distinct102
Distinct (%)100.0%
Missing1
Missing (%)1.0%
Memory size956.0 B
2023-12-13T00:56:40.088129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length63
Mean length63
Min length63

Characters and Unicode

Total characters6426
Distinct characters29
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

Unique102 ?
Unique (%)100.0%

Sample

1st rowhttps://2021jam.s3.ap-northeast-2.amazonaws.com/6/jam000069.zip
2nd rowhttps://2021jam.s3.ap-northeast-2.amazonaws.com/6/jam000077.zip
3rd rowhttps://2021jam.s3.ap-northeast-2.amazonaws.com/6/jam000079.zip
4th rowhttps://2021jam.s3.ap-northeast-2.amazonaws.com/6/jam000084.zip
5th rowhttps://2021jam.s3.ap-northeast-2.amazonaws.com/6/jam000089.zip
ValueCountFrequency (%)
https://2021jam.s3.ap-northeast-2.amazonaws.com/6/jam000069.zip 1
 
1.0%
https://2021jam.s3.ap-northeast-2.amazonaws.com/6/jam003653.zip 1
 
1.0%
https://2021jam.s3.ap-northeast-2.amazonaws.com/6/jam003927.zip 1
 
1.0%
https://2021jam.s3.ap-northeast-2.amazonaws.com/6/jam003903.zip 1
 
1.0%
https://2021jam.s3.ap-northeast-2.amazonaws.com/6/jam003900.zip 1
 
1.0%
https://2021jam.s3.ap-northeast-2.amazonaws.com/6/jam003899.zip 1
 
1.0%
https://2021jam.s3.ap-northeast-2.amazonaws.com/6/jam003872.zip 1
 
1.0%
https://2021jam.s3.ap-northeast-2.amazonaws.com/6/jam003825.zip 1
 
1.0%
https://2021jam.s3.ap-northeast-2.amazonaws.com/6/jam003824.zip 1
 
1.0%
https://2021jam.s3.ap-northeast-2.amazonaws.com/6/jam003821.zip 1
 
1.0%
Other values (92) 92
90.2%
2023-12-13T00:56:40.523691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 714
 
11.1%
. 510
 
7.9%
t 408
 
6.3%
s 408
 
6.3%
/ 408
 
6.3%
m 408
 
6.3%
0 376
 
5.9%
2 338
 
5.3%
p 306
 
4.8%
o 306
 
4.8%
Other values (19) 2244
34.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3876
60.3%
Decimal Number 1326
 
20.6%
Other Punctuation 1020
 
15.9%
Dash Punctuation 204
 
3.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 714
18.4%
t 408
10.5%
s 408
10.5%
m 408
10.5%
p 306
7.9%
o 306
7.9%
h 204
 
5.3%
z 204
 
5.3%
n 204
 
5.3%
j 204
 
5.3%
Other values (5) 510
13.2%
Decimal Number
ValueCountFrequency (%)
0 376
28.4%
2 338
25.5%
3 167
12.6%
1 148
 
11.2%
6 128
 
9.7%
9 41
 
3.1%
7 39
 
2.9%
4 33
 
2.5%
8 30
 
2.3%
5 26
 
2.0%
Other Punctuation
ValueCountFrequency (%)
. 510
50.0%
/ 408
40.0%
: 102
 
10.0%
Dash Punctuation
ValueCountFrequency (%)
- 204
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3876
60.3%
Common 2550
39.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 714
18.4%
t 408
10.5%
s 408
10.5%
m 408
10.5%
p 306
7.9%
o 306
7.9%
h 204
 
5.3%
z 204
 
5.3%
n 204
 
5.3%
j 204
 
5.3%
Other values (5) 510
13.2%
Common
ValueCountFrequency (%)
. 510
20.0%
/ 408
16.0%
0 376
14.7%
2 338
13.3%
- 204
 
8.0%
3 167
 
6.5%
1 148
 
5.8%
6 128
 
5.0%
: 102
 
4.0%
9 41
 
1.6%
Other values (4) 128
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6426
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 714
 
11.1%
. 510
 
7.9%
t 408
 
6.3%
s 408
 
6.3%
/ 408
 
6.3%
m 408
 
6.3%
0 376
 
5.9%
2 338
 
5.3%
p 306
 
4.8%
o 306
 
4.8%
Other values (19) 2244
34.9%

명칭
Categorical

HIGH CORRELATION 

Distinct33
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Memory size956.0 B
되
17 
떡살
17 
호미
8 
인두
 
5
대석작
 
4
Other values (28)
52 

Length

Max length4
Median length3
Mean length2.1067961
Min length1

Unique

Unique16 ?
Unique (%)15.5%

Sample

1st row호미
2nd row호미
3rd row호미
4th row호미
5th row인두

Common Values

ValueCountFrequency (%)
되 17
16.5%
떡살 17
16.5%
호미 8
 
7.8%
인두 5
 
4.9%
대석작 4
 
3.9%
다식판 4
 
3.9%
동고리 4
 
3.9%
변탕 4
 
3.9%
대패 3
 
2.9%
홉 3
 
2.9%
Other values (23) 34
33.0%

Length

2023-12-13T00:56:40.778680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
되 17
16.5%
떡살 17
16.5%
호미 8
 
7.8%
인두 5
 
4.9%
대석작 4
 
3.9%
다식판 4
 
3.9%
동고리 4
 
3.9%
변탕 4
 
3.9%
대패 3
 
2.9%
홉 3
 
2.9%
Other values (23) 34
33.0%

국적-시대
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
한국
74 
한국-시대미상
20 
한국-광복이후
8 
<NA>
 
1

Length

Max length7
Median length2
Mean length3.3786408
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row한국-시대미상
2nd row한국-시대미상
3rd row한국-시대미상
4th row한국-시대미상
5th row한국-시대미상

Common Values

ValueCountFrequency (%)
한국 74
71.8%
한국-시대미상 20
 
19.4%
한국-광복이후 8
 
7.8%
<NA> 1
 
1.0%

Length

2023-12-13T00:56:40.922608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:56:41.455283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국 74
71.8%
한국-시대미상 20
 
19.4%
한국-광복이후 8
 
7.8%
na 1
 
1.0%

재질
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size956.0 B
나무
50 
나무-기타
21 
금속-철
10 
나무-대나무
 
5
토제
 
3
Other values (9)
14 

Length

Max length7
Median length2
Mean length3.2621359
Min length1

Unique

Unique5 ?
Unique (%)4.9%

Sample

1st row나무-기타
2nd row금속-철
3rd row금속-철
4th row금속-철
5th row금속-철

Common Values

ValueCountFrequency (%)
나무 50
48.5%
나무-기타 21
20.4%
금속-철 10
 
9.7%
나무-대나무 5
 
4.9%
토제 3
 
2.9%
지 3
 
2.9%
석 2
 
1.9%
나무-버드나무 2
 
1.9%
초제-댕댕이 2
 
1.9%
금속-동합금 1
 
1.0%
Other values (4) 4
 
3.9%

Length

2023-12-13T00:56:41.638655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
나무 50
48.5%
나무-기타 21
20.4%
금속-철 10
 
9.7%
나무-대나무 5
 
4.9%
토제 3
 
2.9%
지 3
 
2.9%
석 2
 
1.9%
나무-버드나무 2
 
1.9%
초제-댕댕이 2
 
1.9%
금속-동합금 1
 
1.0%
Other values (4) 4
 
3.9%

입수연유
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
구입품
74 
기증품
28 
<NA>
 
1

Length

Max length4
Median length3
Mean length3.0097087
Min length3

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
구입품 74
71.8%
기증품 28
 
27.2%
<NA> 1
 
1.0%

Length

2023-12-13T00:56:41.780724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:56:41.900539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
구입품 74
71.8%
기증품 28
 
27.2%
na 1
 
1.0%

입수일자
Date

Distinct45
Distinct (%)44.1%
Missing1
Missing (%)1.0%
Memory size956.0 B
Minimum1987-09-11 00:00:00
Maximum2021-05-04 00:00:00
2023-12-13T00:56:42.033197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:56:42.203294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)

특징
Text

Distinct59
Distinct (%)57.8%
Missing1
Missing (%)1.0%
Memory size956.0 B
2023-12-13T00:56:42.586497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length119
Median length75
Mean length47.539216
Min length10

Characters and Unicode

Total characters4849
Distinct characters346
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)39.2%

Sample

1st row김을 매는 농기구로 철제날에 목제 손잡이가 부착되어 있다. 날은 끝이 뾰족하며 위가 넓은 반전형이다.
2nd row논밭의 김을 매거나 흙을 북돋아줄 때 사용하는 농기구로 날은 삼각 형태로 앞이 뾰족하고 위가 넓적하며 목이 휘어져 긴 슴베로 연결되어 있다.
3rd row논밭의 김을 매거나 흙을 북돋아줄 때 사용하는 농기구로 날은 삼각 형태로 앞이 뾰족하고 위가 넓적하며 목이 휘어져 긴 슴베로 연결되어 있다.
4th row논밭의 김을 매거나 흙을 북돋아줄 때 사용하는 농기구로 날은 삼각 형태로 앞이 뾰족하고 위가 넓적하며 목이 휘어져 긴 슴베로 연결되어 있다.
5th row불에 달구어 옷감의 구김살을 눌러 다림질 할때 쓰이는 생활용품으로 쇠로 만들어졌으며 바닥이 반반하고 긴 손잡이가 달려 있다.
ValueCountFrequency (%)
사용하는 23
 
1.9%
데 23
 
1.9%
있다 23
 
1.9%
도구이다 16
 
1.3%
만든 15
 
1.2%
문양을 15
 
1.2%
등을 14
 
1.2%
곡식이나 14
 
1.2%
도구 13
 
1.1%
떡에 13
 
1.1%
Other values (436) 1036
86.0%
2023-12-13T00:56:43.049970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1105
22.8%
이 172
 
3.5%
. 162
 
3.3%
다 144
 
3.0%
는 130
 
2.7%
을 123
 
2.5%
나 80
 
1.6%
로 80
 
1.6%
하 72
 
1.5%
에 70
 
1.4%
Other values (336) 2711
55.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3498
72.1%
Space Separator 1105
 
22.8%
Other Punctuation 209
 
4.3%
Decimal Number 17
 
0.4%
Open Punctuation 9
 
0.2%
Close Punctuation 9
 
0.2%
Control 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 172
 
4.9%
다 144
 
4.1%
는 130
 
3.7%
을 123
 
3.5%
나 80
 
2.3%
로 80
 
2.3%
하 72
 
2.1%
에 70
 
2.0%
의 57
 
1.6%
구 56
 
1.6%
Other values (322) 2514
71.9%
Decimal Number
ValueCountFrequency (%)
1 5
29.4%
5 3
17.6%
2 3
17.6%
4 3
17.6%
3 2
 
11.8%
6 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
. 162
77.5%
, 42
 
20.1%
' 4
 
1.9%
· 1
 
0.5%
Space Separator
ValueCountFrequency (%)
1105
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Control
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3472
71.6%
Common 1351
 
27.9%
Han 26
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 172
 
5.0%
다 144
 
4.1%
는 130
 
3.7%
을 123
 
3.5%
나 80
 
2.3%
로 80
 
2.3%
하 72
 
2.1%
에 70
 
2.0%
의 57
 
1.6%
구 56
 
1.6%
Other values (310) 2488
71.7%
Common
ValueCountFrequency (%)
1105
81.8%
. 162
 
12.0%
, 42
 
3.1%
( 9
 
0.7%
) 9
 
0.7%
1 5
 
0.4%
' 4
 
0.3%
5 3
 
0.2%
2 3
 
0.2%
4 3
 
0.2%
Other values (4) 6
 
0.4%
Han
ValueCountFrequency (%)
品 5
19.2%
饌 5
19.2%
線 3
11.5%
流 3
11.5%
型 3
11.5%
合 1
 
3.8%
六 1
 
3.8%
五 1
 
3.8%
四 1
 
3.8%
三 1
 
3.8%
Other values (2) 2
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3472
71.6%
ASCII 1350
 
27.8%
CJK 22
 
0.5%
CJK Compat Ideographs 4
 
0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1105
81.9%
. 162
 
12.0%
, 42
 
3.1%
( 9
 
0.7%
) 9
 
0.7%
1 5
 
0.4%
' 4
 
0.3%
5 3
 
0.2%
2 3
 
0.2%
4 3
 
0.2%
Other values (3) 5
 
0.4%
Hangul
ValueCountFrequency (%)
이 172
 
5.0%
다 144
 
4.1%
는 130
 
3.7%
을 123
 
3.5%
나 80
 
2.3%
로 80
 
2.3%
하 72
 
2.1%
에 70
 
2.0%
의 57
 
1.6%
구 56
 
1.6%
Other values (310) 2488
71.7%
CJK
ValueCountFrequency (%)
品 5
22.7%
饌 5
22.7%
線 3
13.6%
型 3
13.6%
合 1
 
4.5%
五 1
 
4.5%
四 1
 
4.5%
三 1
 
4.5%
二 1
 
4.5%
一 1
 
4.5%
CJK Compat Ideographs
ValueCountFrequency (%)
流 3
75.0%
六 1
 
25.0%
None
ValueCountFrequency (%)
· 1
100.0%

Correlations

2023-12-13T00:56:43.155421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
명칭국적-시대재질입수연유입수일자특징
명칭1.0000.5640.9440.6550.9611.000
국적-시대0.5641.0000.7440.0000.9910.982
재질0.9440.7441.0000.2880.9510.951
입수연유0.6550.0000.2881.0001.0000.841
입수일자0.9610.9910.9511.0001.0000.991
특징1.0000.9820.9510.8410.9911.000
2023-12-13T00:56:43.273467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소장구분명재질입수연유명칭국적-시대
소장구분명1.0001.0001.0001.0001.000
재질1.0001.0000.2510.5970.550
입수연유1.0000.2511.0000.4400.000
명칭1.0000.5970.4401.0000.285
국적-시대1.0000.5500.0000.2851.000
2023-12-13T00:56:43.375683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소장구분명명칭국적-시대재질입수연유
소장구분명1.0001.0001.0001.0001.000
명칭1.0001.0000.2850.5970.440
국적-시대1.0000.2851.0000.5500.000
재질1.0000.5970.5501.0000.251
입수연유1.0000.4400.0000.2511.000

Missing values

2023-12-13T00:56:38.158790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:56:38.349907image/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.
2023-12-13T00:56:38.578705image/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

소장구분명소장품번호유물 3D URL명칭국적-시대재질입수연유입수일자특징
0공립-전라남도농업박물관-전라남도농업박물관jam000069https://2021jam.s3.ap-northeast-2.amazonaws.com/6/jam000069.zip호미한국-시대미상나무-기타기증품1987-09-11김을 매는 농기구로 철제날에 목제 손잡이가 부착되어 있다. 날은 끝이 뾰족하며 위가 넓은 반전형이다.
1공립-전라남도농업박물관-전라남도농업박물관jam000077https://2021jam.s3.ap-northeast-2.amazonaws.com/6/jam000077.zip호미한국-시대미상금속-철기증품1987-09-21논밭의 김을 매거나 흙을 북돋아줄 때 사용하는 농기구로 날은 삼각 형태로 앞이 뾰족하고 위가 넓적하며 목이 휘어져 긴 슴베로 연결되어 있다.
2공립-전라남도농업박물관-전라남도농업박물관jam000079https://2021jam.s3.ap-northeast-2.amazonaws.com/6/jam000079.zip호미한국-시대미상금속-철기증품1987-11-12논밭의 김을 매거나 흙을 북돋아줄 때 사용하는 농기구로 날은 삼각 형태로 앞이 뾰족하고 위가 넓적하며 목이 휘어져 긴 슴베로 연결되어 있다.
3공립-전라남도농업박물관-전라남도농업박물관jam000084https://2021jam.s3.ap-northeast-2.amazonaws.com/6/jam000084.zip호미한국-시대미상금속-철기증품1988-01-07논밭의 김을 매거나 흙을 북돋아줄 때 사용하는 농기구로 날은 삼각 형태로 앞이 뾰족하고 위가 넓적하며 목이 휘어져 긴 슴베로 연결되어 있다.
4공립-전라남도농업박물관-전라남도농업박물관jam000089https://2021jam.s3.ap-northeast-2.amazonaws.com/6/jam000089.zip인두한국-시대미상금속-철기증품1987-09-30불에 달구어 옷감의 구김살을 눌러 다림질 할때 쓰이는 생활용품으로 쇠로 만들어졌으며 바닥이 반반하고 긴 손잡이가 달려 있다.
5공립-전라남도농업박물관-전라남도농업박물관jam000096https://2021jam.s3.ap-northeast-2.amazonaws.com/6/jam000096.zip되한국-시대미상나무-기타기증품1987-09-23곡식이나 액체등의 양을 재는 분량의 단위에 맞게 만든 그릇이다. 정방형의 형태로 못을 이용하긴 하였으나 기본적으로 나무를 짜맞춰 만들었음.
6공립-전라남도농업박물관-전라남도농업박물관jam000097https://2021jam.s3.ap-northeast-2.amazonaws.com/6/jam000097.zip되한국-시대미상나무-기타기증품1987-09-23곡식이나 액체등의 양을 재는 분량의 단위에 맞게 만든 그릇이다. 정방형의 형태로 못을 이용하긴 하였으나 기본적으로 나무를 짜맞춰 만들었음.
7공립-전라남도농업박물관-전라남도농업박물관jam000099https://2021jam.s3.ap-northeast-2.amazonaws.com/6/jam000099.zip되한국-시대미상나무-기타구입품1987-12-11곡식이나 액체등의 양을 재는 분량의 단위에 맞게 만든 그릇이다. 정방형의 형태로 못을 이용하긴 하였으나 기본적으로 나무를 짜맞춰 만들었음.
8공립-전라남도농업박물관-전라남도농업박물관jam000100https://2021jam.s3.ap-northeast-2.amazonaws.com/6/jam000100.zip되한국-시대미상나무-기타구입품1987-12-11곡식이나 액체등의 양을 재는 분량의 단위에 맞게 만든 그릇이다. 정방형의 형태로 못을 이용하긴 하였으나 기본적으로 나무를 짜맞춰 만들었음.
9공립-전라남도농업박물관-전라남도농업박물관jam000101https://2021jam.s3.ap-northeast-2.amazonaws.com/6/jam000101.zip되한국-시대미상나무-기타구입품1987-12-11곡식이나 액체등의 양을 재는 분량의 단위에 맞게 만든 그릇이다. 정방형의 형태로 못을 이용하긴 하였으나 기본적으로 나무를 짜맞춰 만들었음.
소장구분명소장품번호유물 3D URL명칭국적-시대재질입수연유입수일자특징
93공립-전라남도농업박물관-전라남도농업박물관jam007083https://2021jam.s3.ap-northeast-2.amazonaws.com/6/jam007083.zip떡살한국-시대미상나무-기타구입품2016-07-04적절한 크기로 잘라낸 떡에 물기를 묻혀서 문양을 내기 위해 사용하는 도구이다.
94공립-전라남도농업박물관-전라남도농업박물관jam007084https://2021jam.s3.ap-northeast-2.amazonaws.com/6/jam007084.zip떡살한국-시대미상나무-기타구입품2016-07-04적절한 크기로 잘라낸 떡에 물기를 묻혀서 문양을 내기 위해 사용하는 도구이다.
95공립-전라남도농업박물관-전라남도농업박물관jam007085https://2021jam.s3.ap-northeast-2.amazonaws.com/6/jam007085.zip떡살한국-시대미상나무-기타구입품2016-07-04적절한 크기로 잘라낸 떡에 물기를 묻혀서 문양을 내기 위해 사용하는 도구이다.
96공립-전라남도농업박물관-전라남도농업박물관jam007086https://2021jam.s3.ap-northeast-2.amazonaws.com/6/jam007086.zip떡살한국-시대미상나무-기타구입품2016-07-04적절한 크기로 잘라낸 떡에 물기를 묻혀서 문양을 내기 위해 사용하는 도구이다.
97공립-전라남도농업박물관-전라남도농업박물관jam007089https://2021jam.s3.ap-northeast-2.amazonaws.com/6/jam007089.zip떡살한국-시대미상나무-기타구입품2016-07-04적절한 크기로 잘라낸 떡에 물기를 묻혀서 문양을 내기 위해 사용하는 도구이다.
98공립-전라남도농업박물관-전라남도농업박물관jam007090https://2021jam.s3.ap-northeast-2.amazonaws.com/6/jam007090.zip떡살한국-시대미상나무-기타구입품2016-07-04적절한 크기로 잘라낸 떡에 물기를 묻혀서 문양을 내기 위해 사용하는 도구이다.
99공립-전라남도농업박물관-전라남도농업박물관jam007110https://2021jam.s3.ap-northeast-2.amazonaws.com/6/jam007110.zip떡살한국-시대미상토제-기타구입품2016-07-04적절한 크기로 잘라낸 떡에 물기를 묻혀서 문양을 내기 위해 사용하는 도구이다.
100공립-전라남도농업박물관-전라남도농업박물관jam009124https://2021jam.s3.ap-northeast-2.amazonaws.com/6/jam009124.zip되한국-광복이후나무기증품2021-05-04곡식이나 액체등의 양을 재는 분량의 단위에 맞게 만든 그릇이다.
101공립-전라남도농업박물관-전라남도농업박물관jam009125https://2021jam.s3.ap-northeast-2.amazonaws.com/6/jam009125.zip되한국-광복이후나무기증품2021-05-04곡식이나 액체등의 양을 재는 분량의 단위에 맞게 만든 그릇이다.
102<NA><NA><NA><NA><NA><NA><NA><NA><NA>