Overview

Dataset statistics

Number of variables9
Number of observations10000
Missing cells9109
Missing cells (%)10.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory781.2 KiB
Average record size in memory80.0 B

Variable types

Text7
Categorical2

Dataset

Description국립중앙박물관을 포함한 104개 협력 박물관의 약 29만건의 유물정보에 대한 목록 및 상세 정보 (소장기관명, 명칭, 다른명칭, 재질, 분류 등)를 제공합니다.
Author문화체육관광부 국립중앙박물관
URLhttps://www.data.go.kr/data/15083246/fileData.do

Alerts

다른명칭 has 2635 (26.4%) missing valuesMissing
재질(중) has 1437 (14.4%) missing valuesMissing
분류(중) has 417 (4.2%) missing valuesMissing
분류(소) has 954 (9.5%) missing valuesMissing
분류(세) has 3666 (36.7%) missing valuesMissing
소장품고유아이디 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:42:24.772325
Analysis finished2023-12-12 10:42:27.714361
Duration2.94 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

소장품고유아이디
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T19:42:27.878937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length24
Mean length24
Min length24

Characters and Unicode

Total characters240000
Distinct characters12
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

Unique10000 ?
Unique (%)100.0%

Sample

1st rowPS0100100500105708900000
2nd rowPS0100100100701311500000
3rd rowPS0100100101103347900000
4th rowPS0100100101101242800000
5th rowPS0100100101100215000000
ValueCountFrequency (%)
ps0100100500105708900000 1
 
< 0.1%
ps0100100100400178100000 1
 
< 0.1%
ps0100100101100090100000 1
 
< 0.1%
ps0100100102002264900000 1
 
< 0.1%
ps0100100101700414800000 1
 
< 0.1%
ps0100100102101432300000 1
 
< 0.1%
ps0100100101900071700000 1
 
< 0.1%
ps0100100100400279300000 1
 
< 0.1%
ps0100100102001589900000 1
 
< 0.1%
ps0100100102101351900000 1
 
< 0.1%
Other values (9990) 9990
99.9%
2023-12-12T19:42:28.310607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 134312
56.0%
1 44110
 
18.4%
P 10000
 
4.2%
S 10000
 
4.2%
2 9040
 
3.8%
7 5594
 
2.3%
5 5373
 
2.2%
3 5045
 
2.1%
4 4393
 
1.8%
6 4368
 
1.8%
Other values (2) 7765
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 220000
91.7%
Uppercase Letter 20000
 
8.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 134312
61.1%
1 44110
 
20.1%
2 9040
 
4.1%
7 5594
 
2.5%
5 5373
 
2.4%
3 5045
 
2.3%
4 4393
 
2.0%
6 4368
 
2.0%
9 3959
 
1.8%
8 3806
 
1.7%
Uppercase Letter
ValueCountFrequency (%)
P 10000
50.0%
S 10000
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 220000
91.7%
Latin 20000
 
8.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 134312
61.1%
1 44110
 
20.1%
2 9040
 
4.1%
7 5594
 
2.5%
5 5373
 
2.4%
3 5045
 
2.3%
4 4393
 
2.0%
6 4368
 
2.0%
9 3959
 
1.8%
8 3806
 
1.7%
Latin
ValueCountFrequency (%)
P 10000
50.0%
S 10000
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 240000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 134312
56.0%
1 44110
 
18.4%
P 10000
 
4.2%
S 10000
 
4.2%
2 9040
 
3.8%
7 5594
 
2.3%
5 5373
 
2.2%
3 5045
 
2.1%
4 4393
 
1.8%
6 4368
 
1.8%
Other values (2) 7765
 
3.2%

소장기관명
Categorical

Distinct27
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
국립1-국립중앙박물관-신수
2424 
국립1-국립중앙박물관-건판
2040 
국립1-국립중앙박물관-신안
1221 
국립1-국립중앙박물관-고적
1147 
국립1-국립광주박물관-광주
643 
Other values (22)
2525 

Length

Max length15
Median length14
Mean length13.901
Min length13

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row국립1-국립광주박물관-광주
2nd row국립1-국립중앙박물관-신안
3rd row국립1-국립중앙박물관-신수
4th row국립1-국립중앙박물관-신수
5th row국립1-국립중앙박물관-신수

Common Values

ValueCountFrequency (%)
국립1-국립중앙박물관-신수 2424
24.2%
국립1-국립중앙박물관-건판 2040
20.4%
국립1-국립중앙박물관-신안 1221
12.2%
국립1-국립중앙박물관-고적 1147
11.5%
국립1-국립광주박물관-광주 643
 
6.4%
국립1-국립중앙박물관-구 514
 
5.1%
국립1-국립중앙박물관-증 482
 
4.8%
국립1-국립중앙박물관-본관 406
 
4.1%
국립1-국립중앙박물관-덕수 350
 
3.5%
국립1-국립중앙박물관-동원 254
 
2.5%
Other values (17) 519
 
5.2%

Length

2023-12-12T19:42:28.570085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
국립1-국립중앙박물관-신수 2424
24.2%
국립1-국립중앙박물관-건판 2040
20.4%
국립1-국립중앙박물관-신안 1221
12.2%
국립1-국립중앙박물관-고적 1147
11.5%
국립1-국립광주박물관-광주 643
 
6.4%
국립1-국립중앙박물관-구 514
 
5.1%
국립1-국립중앙박물관-증 482
 
4.8%
국립1-국립중앙박물관-본관 406
 
4.1%
국립1-국립중앙박물관-덕수 350
 
3.5%
국립1-국립중앙박물관-동원 254
 
2.5%
Other values (17) 519
 
5.2%

명칭
Text

Distinct5403
Distinct (%)54.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T19:42:29.028968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length30
Mean length7.9257
Min length1

Characters and Unicode

Total characters79257
Distinct characters1220
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4515 ?
Unique (%)45.1%

Sample

1st row발형토기저부편
2nd row흑유도호
3rd row토기 바닥 조각
4th row십장생 열쇠패
5th row뚜껑 있는 굽다리 접시
ValueCountFrequency (%)
토기 623
 
3.1%
조각 598
 
3.0%
경북경주 260
 
1.3%
백자 253
 
1.3%
출토 249
 
1.3%
청자접시 192
 
1.0%
평남대동 190
 
1.0%
항아리 167
 
0.8%
청자 158
 
0.8%
접시 155
 
0.8%
Other values (6098) 16935
85.6%
2023-12-12T19:42:29.703206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9902
 
12.5%
자 2887
 
3.6%
청 2135
 
2.7%
기 1792
 
2.3%
문 1393
 
1.8%
접 1365
 
1.7%
경 1307
 
1.6%
토 1281
 
1.6%
시 1222
 
1.5%
사 1218
 
1.5%
Other values (1210) 54755
69.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 67980
85.8%
Space Separator 9902
 
12.5%
Decimal Number 924
 
1.2%
Close Punctuation 164
 
0.2%
Open Punctuation 164
 
0.2%
Other Punctuation 74
 
0.1%
Uppercase Letter 21
 
< 0.1%
Lowercase Letter 14
 
< 0.1%
Dash Punctuation 11
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
자 2887
 
4.2%
청 2135
 
3.1%
기 1792
 
2.6%
문 1393
 
2.0%
접 1365
 
2.0%
경 1307
 
1.9%
토 1281
 
1.9%
시 1222
 
1.8%
사 1218
 
1.8%
편 1204
 
1.8%
Other values (1160) 52176
76.8%
Uppercase Letter
ValueCountFrequency (%)
E 4
19.0%
B 4
19.0%
A 3
14.3%
D 2
9.5%
H 2
9.5%
G 1
 
4.8%
X 1
 
4.8%
C 1
 
4.8%
T 1
 
4.8%
V 1
 
4.8%
Decimal Number
ValueCountFrequency (%)
1 262
28.4%
2 151
16.3%
3 96
 
10.4%
5 89
 
9.6%
9 86
 
9.3%
4 64
 
6.9%
0 51
 
5.5%
7 48
 
5.2%
6 47
 
5.1%
8 30
 
3.2%
Lowercase Letter
ValueCountFrequency (%)
e 3
21.4%
a 3
21.4%
n 2
14.3%
x 1
 
7.1%
d 1
 
7.1%
l 1
 
7.1%
u 1
 
7.1%
h 1
 
7.1%
c 1
 
7.1%
Close Punctuation
ValueCountFrequency (%)
) 114
69.5%
』 23
 
14.0%
」 20
 
12.2%
] 4
 
2.4%
》 3
 
1.8%
Open Punctuation
ValueCountFrequency (%)
( 114
69.5%
『 24
 
14.6%
「 19
 
11.6%
[ 4
 
2.4%
《 3
 
1.8%
Other Punctuation
ValueCountFrequency (%)
' 39
52.7%
, 18
24.3%
· 12
 
16.2%
" 4
 
5.4%
. 1
 
1.4%
Math Symbol
ValueCountFrequency (%)
∼ 1
50.0%
~ 1
50.0%
Space Separator
ValueCountFrequency (%)
9902
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 65001
82.0%
Common 11241
 
14.2%
Han 2979
 
3.8%
Latin 36
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
자 2887
 
4.4%
청 2135
 
3.3%
기 1792
 
2.8%
문 1393
 
2.1%
접 1365
 
2.1%
경 1307
 
2.0%
토 1281
 
2.0%
시 1222
 
1.9%
사 1218
 
1.9%
편 1204
 
1.9%
Other values (602) 49197
75.7%
Han
ValueCountFrequency (%)
磁 119
 
4.0%
器 105
 
3.5%
片 101
 
3.4%
靑 93
 
3.1%
文 85
 
2.9%
白 85
 
2.9%
筆 77
 
2.6%
土 69
 
2.3%
部 64
 
2.1%
圖 58
 
1.9%
Other values (548) 2123
71.3%
Common
ValueCountFrequency (%)
9902
88.1%
1 262
 
2.3%
2 151
 
1.3%
) 114
 
1.0%
( 114
 
1.0%
3 96
 
0.9%
5 89
 
0.8%
9 86
 
0.8%
4 64
 
0.6%
0 51
 
0.5%
Other values (19) 312
 
2.8%
Latin
ValueCountFrequency (%)
E 4
 
11.1%
B 4
 
11.1%
e 3
 
8.3%
A 3
 
8.3%
a 3
 
8.3%
D 2
 
5.6%
H 2
 
5.6%
n 2
 
5.6%
G 1
 
2.8%
X 1
 
2.8%
Other values (11) 11
30.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 64991
82.0%
ASCII 11171
 
14.1%
CJK 2901
 
3.7%
None 104
 
0.1%
CJK Compat Ideographs 78
 
0.1%
Compat Jamo 10
 
< 0.1%
Number Forms 1
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9902
88.6%
1 262
 
2.3%
2 151
 
1.4%
) 114
 
1.0%
( 114
 
1.0%
3 96
 
0.9%
5 89
 
0.8%
9 86
 
0.8%
4 64
 
0.6%
0 51
 
0.5%
Other values (31) 242
 
2.2%
Hangul
ValueCountFrequency (%)
자 2887
 
4.4%
청 2135
 
3.3%
기 1792
 
2.8%
문 1393
 
2.1%
접 1365
 
2.1%
경 1307
 
2.0%
토 1281
 
2.0%
시 1222
 
1.9%
사 1218
 
1.9%
편 1204
 
1.9%
Other values (600) 49187
75.7%
CJK
ValueCountFrequency (%)
磁 119
 
4.1%
器 105
 
3.6%
片 101
 
3.5%
靑 93
 
3.2%
文 85
 
2.9%
白 85
 
2.9%
筆 77
 
2.7%
土 69
 
2.4%
部 64
 
2.2%
圖 58
 
2.0%
Other values (525) 2045
70.5%
CJK Compat Ideographs
ValueCountFrequency (%)
蓮 35
44.9%
金 6
 
7.7%
綠 5
 
6.4%
蘭 4
 
5.1%
隸 4
 
5.1%
列 3
 
3.8%
李 3
 
3.8%
拓 2
 
2.6%
樂 2
 
2.6%
兩 1
 
1.3%
Other values (13) 13
 
16.7%
None
ValueCountFrequency (%)
『 24
23.1%
』 23
22.1%
」 20
19.2%
「 19
18.3%
· 12
11.5%
《 3
 
2.9%
》 3
 
2.9%
Compat Jamo
ValueCountFrequency (%)
ㆍ 9
90.0%
ㄱ 1
 
10.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%

다른명칭
Text

MISSING 

Distinct3801
Distinct (%)51.6%
Missing2635
Missing (%)26.4%
Memory size156.2 KiB
2023-12-12T19:42:30.222053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length78
Median length67
Mean length9.2025798
Min length1

Characters and Unicode

Total characters67777
Distinct characters1953
Distinct categories14 ?
Distinct scripts5 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3020 ?
Unique (%)41.0%

Sample

1st row鉢形土器底部片
2nd row黑釉陶壺
3rd row土器底部片, 토기저부편, 토기 저부편
4th row十長生 열쇠패, 열쇠패
5th row高杯, 有蓋高杯, 고배, 유개고배
ValueCountFrequency (%)
土器片 235
 
1.8%
토기 188
 
1.4%
백자 179
 
1.3%
靑磁접시 168
 
1.3%
토기편 122
 
0.9%
청자 112
 
0.8%
雜釉陶壺 110
 
0.8%
土器底部片 91
 
0.7%
無文土器 87
 
0.6%
토기저부편 87
 
0.6%
Other values (4720) 12006
89.7%
2023-12-12T19:42:30.925219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6129
 
9.0%
, 4630
 
6.8%
磁 2043
 
3.0%
片 1869
 
2.8%
靑 1794
 
2.6%
器 1583
 
2.3%
기 1492
 
2.2%
文 1470
 
2.2%
편 1375
 
2.0%
토 1301
 
1.9%
Other values (1943) 44091
65.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 56198
82.9%
Space Separator 6129
 
9.0%
Other Punctuation 4775
 
7.0%
Close Punctuation 228
 
0.3%
Open Punctuation 228
 
0.3%
Lowercase Letter 181
 
0.3%
Decimal Number 14
 
< 0.1%
Uppercase Letter 10
 
< 0.1%
Dash Punctuation 5
 
< 0.1%
Math Symbol 4
 
< 0.1%
Other values (4) 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
磁 2043
 
3.6%
片 1869
 
3.3%
靑 1794
 
3.2%
器 1583
 
2.8%
기 1492
 
2.7%
文 1470
 
2.6%
편 1375
 
2.4%
토 1301
 
2.3%
土 1230
 
2.2%
접 1000
 
1.8%
Other values (1888) 41041
73.0%
Lowercase Letter
ValueCountFrequency (%)
e 26
14.4%
r 21
11.6%
a 18
9.9%
n 14
 
7.7%
o 14
 
7.7%
c 11
 
6.1%
l 11
 
6.1%
i 11
 
6.1%
s 9
 
5.0%
d 9
 
5.0%
Other values (9) 37
20.4%
Uppercase Letter
ValueCountFrequency (%)
F 2
20.0%
T 2
20.0%
I 1
10.0%
G 1
10.0%
S 1
10.0%
H 1
10.0%
A 1
10.0%
O 1
10.0%
Other Punctuation
ValueCountFrequency (%)
, 4630
97.0%
' 90
 
1.9%
· 49
 
1.0%
. 3
 
0.1%
" 2
 
< 0.1%
/ 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
2 8
57.1%
1 3
 
21.4%
7 1
 
7.1%
8 1
 
7.1%
6 1
 
7.1%
Close Punctuation
ValueCountFrequency (%)
) 181
79.4%
』 24
 
10.5%
」 19
 
8.3%
》 4
 
1.8%
Open Punctuation
ValueCountFrequency (%)
( 181
79.4%
『 25
 
11.0%
「 18
 
7.9%
《 4
 
1.8%
Math Symbol
ValueCountFrequency (%)
+ 2
50.0%
∼ 1
25.0%
~ 1
25.0%
Space Separator
ValueCountFrequency (%)
6129
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Han 33323
49.2%
Hangul 22874
33.7%
Common 11387
 
16.8%
Latin 192
 
0.3%
Hiragana 1
 
< 0.1%

Most frequent character per script

Han
ValueCountFrequency (%)
磁 2043
 
6.1%
片 1869
 
5.6%
靑 1794
 
5.4%
器 1583
 
4.8%
文 1470
 
4.4%
土 1230
 
3.7%
白 854
 
2.6%
花 704
 
2.1%
壺 574
 
1.7%
部 556
 
1.7%
Other values (1428) 20646
62.0%
Hangul
ValueCountFrequency (%)
기 1492
 
6.5%
편 1375
 
6.0%
토 1301
 
5.7%
접 1000
 
4.4%
시 950
 
4.2%
문 626
 
2.7%
부 615
 
2.7%
와 482
 
2.1%
연 461
 
2.0%
동 447
 
2.0%
Other values (449) 14125
61.8%
Latin
ValueCountFrequency (%)
e 26
13.5%
r 21
10.9%
a 18
 
9.4%
n 14
 
7.3%
o 14
 
7.3%
c 11
 
5.7%
l 11
 
5.7%
i 11
 
5.7%
s 9
 
4.7%
d 9
 
4.7%
Other values (18) 48
25.0%
Common
ValueCountFrequency (%)
6129
53.8%
, 4630
40.7%
) 181
 
1.6%
( 181
 
1.6%
' 90
 
0.8%
· 49
 
0.4%
『 25
 
0.2%
』 24
 
0.2%
」 19
 
0.2%
「 18
 
0.2%
Other values (17) 41
 
0.4%
Hiragana
ValueCountFrequency (%)
の 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
CJK 32494
47.9%
Hangul 22865
33.7%
ASCII 11432
 
16.9%
CJK Compat Ideographs 829
 
1.2%
None 143
 
0.2%
Compat Jamo 9
 
< 0.1%
Punctuation 2
 
< 0.1%
Hiragana 1
 
< 0.1%
Math Operators 1
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6129
53.6%
, 4630
40.5%
) 181
 
1.6%
( 181
 
1.6%
' 90
 
0.8%
e 26
 
0.2%
r 21
 
0.2%
a 18
 
0.2%
n 14
 
0.1%
o 14
 
0.1%
Other values (34) 128
 
1.1%
CJK
ValueCountFrequency (%)
磁 2043
 
6.3%
片 1869
 
5.8%
靑 1794
 
5.5%
器 1583
 
4.9%
文 1470
 
4.5%
土 1230
 
3.8%
白 854
 
2.6%
花 704
 
2.2%
壺 574
 
1.8%
部 556
 
1.7%
Other values (1350) 19817
61.0%
Hangul
ValueCountFrequency (%)
기 1492
 
6.5%
편 1375
 
6.0%
토 1301
 
5.7%
접 1000
 
4.4%
시 950
 
4.2%
문 626
 
2.7%
부 615
 
2.7%
와 482
 
2.1%
연 461
 
2.0%
동 447
 
2.0%
Other values (447) 14116
61.7%
CJK Compat Ideographs
ValueCountFrequency (%)
蓮 349
42.1%
金 110
 
13.3%
列 44
 
5.3%
立 43
 
5.2%
龍 38
 
4.6%
李 25
 
3.0%
兩 24
 
2.9%
六 15
 
1.8%
丹 14
 
1.7%
拓 12
 
1.4%
Other values (68) 155
18.7%
None
ValueCountFrequency (%)
· 49
34.3%
『 25
17.5%
』 24
16.8%
」 19
 
13.3%
「 18
 
12.6%
》 4
 
2.8%
《 4
 
2.8%
Compat Jamo
ValueCountFrequency (%)
ㆍ 8
88.9%
ㄱ 1
 
11.1%
Punctuation
ValueCountFrequency (%)
‘ 1
50.0%
’ 1
50.0%
Hiragana
ValueCountFrequency (%)
の 1
100.0%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

재질(중)
Text

MISSING 

Distinct72
Distinct (%)0.8%
Missing1437
Missing (%)14.4%
Memory size156.2 KiB
2023-12-12T19:42:31.196949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length2
Mean length2.046479
Min length1

Characters and Unicode

Total characters17524
Distinct characters84
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)0.2%

Sample

1st row연질
2nd row흑유
3rd row연질
4th row동합금
5th row경질
ValueCountFrequency (%)
유리 2051
24.0%
청자 1323
15.5%
경질 944
11.0%
연질 940
11.0%
백자 824
9.6%
동합금 416
 
4.9%
기타 362
 
4.2%
분청 221
 
2.6%
철 220
 
2.6%
청백자 177
 
2.1%
Other values (62) 1085
12.7%
2023-12-12T19:42:31.645394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
자 2329
13.3%
유 2294
13.1%
질 2056
11.7%
리 2053
11.7%
청 1835
10.5%
백 1015
 
5.8%
연 947
 
5.4%
경 944
 
5.4%
동 577
 
3.3%
금 474
 
2.7%
Other values (74) 3000
17.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17524
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
자 2329
13.3%
유 2294
13.1%
질 2056
11.7%
리 2053
11.7%
청 1835
10.5%
백 1015
 
5.8%
연 947
 
5.4%
경 944
 
5.4%
동 577
 
3.3%
금 474
 
2.7%
Other values (74) 3000
17.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17524
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
자 2329
13.3%
유 2294
13.1%
질 2056
11.7%
리 2053
11.7%
청 1835
10.5%
백 1015
 
5.8%
연 947
 
5.4%
경 944
 
5.4%
동 577
 
3.3%
금 474
 
2.7%
Other values (74) 3000
17.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17524
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
자 2329
13.3%
유 2294
13.1%
질 2056
11.7%
리 2053
11.7%
청 1835
10.5%
백 1015
 
5.8%
연 947
 
5.4%
경 944
 
5.4%
동 577
 
3.3%
금 474
 
2.7%
Other values (74) 3000
17.1%

분류(대)
Categorical

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
식생활
4307 
미디어
2081 
주생활
898 
산업/생업
654 
사회생활
503 
Other values (9)
1557 

Length

Max length5
Median length3
Mean length3.2938
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row식생활
2nd row식생활
3rd row식생활
4th row주생활
5th row사회생활

Common Values

ValueCountFrequency (%)
식생활 4307
43.1%
미디어 2081
20.8%
주생활 898
 
9.0%
산업/생업 654
 
6.5%
사회생활 503
 
5.0%
문화예술 481
 
4.8%
<NA> 410
 
4.1%
의생활 189
 
1.9%
기타자료 143
 
1.4%
군사 133
 
1.3%
Other values (4) 201
 
2.0%

Length

2023-12-12T19:42:31.847261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
식생활 4307
43.1%
미디어 2081
20.8%
주생활 898
 
9.0%
산업/생업 654
 
6.5%
사회생활 503
 
5.0%
문화예술 481
 
4.8%
na 410
 
4.1%
의생활 189
 
1.9%
기타자료 143
 
1.4%
군사 133
 
1.3%
Other values (4) 201
 
2.0%

분류(중)
Text

MISSING 

Distinct53
Distinct (%)0.6%
Missing417
Missing (%)4.2%
Memory size156.2 KiB
2023-12-12T19:42:32.132762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.2163206
Min length2

Characters and Unicode

Total characters30822
Distinct characters86
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)0.1%

Sample

1st row음식기
2nd row음식기
3rd row음식기
4th row생활용품/가전
5th row의례생활
ValueCountFrequency (%)
음식기 4230
44.1%
기록물 2059
21.5%
건축부재 549
 
5.7%
생활용품/가전 349
 
3.6%
서화 285
 
3.0%
의례생활 266
 
2.8%
선사생활 251
 
2.6%
사회제도 218
 
2.3%
문헌 164
 
1.7%
장신구 141
 
1.5%
Other values (43) 1071
 
11.2%
2023-12-12T19:42:32.893564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 6452
20.9%
음 4237
13.7%
식 4231
13.7%
록 2059
 
6.7%
물 2059
 
6.7%
생 866
 
2.8%
활 866
 
2.8%
재 682
 
2.2%
건 549
 
1.8%
축 549
 
1.8%
Other values (76) 8272
26.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30428
98.7%
Other Punctuation 394
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 6452
21.2%
음 4237
13.9%
식 4231
13.9%
록 2059
 
6.8%
물 2059
 
6.8%
생 866
 
2.8%
활 866
 
2.8%
재 682
 
2.2%
건 549
 
1.8%
축 549
 
1.8%
Other values (75) 7878
25.9%
Other Punctuation
ValueCountFrequency (%)
/ 394
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30428
98.7%
Common 394
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 6452
21.2%
음 4237
13.9%
식 4231
13.9%
록 2059
 
6.8%
물 2059
 
6.8%
생 866
 
2.8%
활 866
 
2.8%
재 682
 
2.2%
건 549
 
1.8%
축 549
 
1.8%
Other values (75) 7878
25.9%
Common
ValueCountFrequency (%)
/ 394
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30428
98.7%
ASCII 394
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 6452
21.2%
음 4237
13.9%
식 4231
13.9%
록 2059
 
6.8%
물 2059
 
6.8%
생 866
 
2.8%
활 866
 
2.8%
재 682
 
2.2%
건 549
 
1.8%
축 549
 
1.8%
Other values (75) 7878
25.9%
ASCII
ValueCountFrequency (%)
/ 394
100.0%

분류(소)
Text

MISSING 

Distinct116
Distinct (%)1.3%
Missing954
Missing (%)9.5%
Memory size156.2 KiB
2023-12-12T19:42:33.197687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length2
Mean length2.4660623
Min length1

Characters and Unicode

Total characters22308
Distinct characters154
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

Unique20 ?
Unique (%)0.2%

Sample

1st row음식
2nd row저장운반
3rd row기타
4th row제례
5th row회화
ValueCountFrequency (%)
음식 2842
31.4%
필름 2054
22.7%
저장운반 748
 
8.3%
지붕재 487
 
5.4%
기타 372
 
4.1%
회화 195
 
2.2%
문서 190
 
2.1%
생활구일체 156
 
1.7%
상장 148
 
1.6%
화장구 127
 
1.4%
Other values (106) 1727
19.1%
2023-12-12T19:42:33.725881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 3001
 
13.5%
음 2842
 
12.7%
필 2054
 
9.2%
름 2054
 
9.2%
장 1215
 
5.4%
반 779
 
3.5%
운 755
 
3.4%
저 748
 
3.4%
재 602
 
2.7%
구 581
 
2.6%
Other values (144) 7677
34.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22222
99.6%
Other Punctuation 84
 
0.4%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 3001
 
13.5%
음 2842
 
12.8%
필 2054
 
9.2%
름 2054
 
9.2%
장 1215
 
5.5%
반 779
 
3.5%
운 755
 
3.4%
저 748
 
3.4%
재 602
 
2.7%
구 581
 
2.6%
Other values (141) 7591
34.2%
Other Punctuation
ValueCountFrequency (%)
/ 84
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22222
99.6%
Common 86
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 3001
 
13.5%
음 2842
 
12.8%
필 2054
 
9.2%
름 2054
 
9.2%
장 1215
 
5.5%
반 779
 
3.5%
운 755
 
3.4%
저 748
 
3.4%
재 602
 
2.7%
구 581
 
2.6%
Other values (141) 7591
34.2%
Common
ValueCountFrequency (%)
/ 84
97.7%
) 1
 
1.2%
( 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22222
99.6%
ASCII 86
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 3001
 
13.5%
음 2842
 
12.8%
필 2054
 
9.2%
름 2054
 
9.2%
장 1215
 
5.5%
반 779
 
3.5%
운 755
 
3.4%
저 748
 
3.4%
재 602
 
2.7%
구 581
 
2.6%
Other values (141) 7591
34.2%
ASCII
ValueCountFrequency (%)
/ 84
97.7%
) 1
 
1.2%
( 1
 
1.2%

분류(세)
Text

MISSING 

Distinct280
Distinct (%)4.4%
Missing3666
Missing (%)36.7%
Memory size156.2 KiB
2023-12-12T19:42:34.181480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length2.2192927
Min length1

Characters and Unicode

Total characters14057
Distinct characters241
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

Unique89 ?
Unique (%)1.4%

Sample

1st row발
2nd row항아리
3rd row열쇠패
4th row제기
5th row일반회화
ValueCountFrequency (%)
접시 1023
 
16.2%
항아리 488
 
7.7%
기타 468
 
7.4%
완 304
 
4.8%
병 272
 
4.3%
발 235
 
3.7%
대접 233
 
3.7%
일반회화 173
 
2.7%
수막새 172
 
2.7%
개 134
 
2.1%
Other values (270) 2832
44.7%
2023-12-12T19:42:34.831136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
접 1257
 
8.9%
시 1129
 
8.0%
기 567
 
4.0%
항 516
 
3.7%
리 501
 
3.6%
아 489
 
3.5%
타 473
 
3.4%
일 328
 
2.3%
완 312
 
2.2%
대 306
 
2.2%
Other values (231) 8179
58.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13750
97.8%
Open Punctuation 151
 
1.1%
Close Punctuation 151
 
1.1%
Other Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
접 1257
 
9.1%
시 1129
 
8.2%
기 567
 
4.1%
항 516
 
3.8%
리 501
 
3.6%
아 489
 
3.6%
타 473
 
3.4%
일 328
 
2.4%
완 312
 
2.3%
대 306
 
2.2%
Other values (228) 7872
57.3%
Open Punctuation
ValueCountFrequency (%)
( 151
100.0%
Close Punctuation
ValueCountFrequency (%)
) 151
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13750
97.8%
Common 307
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
접 1257
 
9.1%
시 1129
 
8.2%
기 567
 
4.1%
항 516
 
3.8%
리 501
 
3.6%
아 489
 
3.6%
타 473
 
3.4%
일 328
 
2.4%
완 312
 
2.3%
대 306
 
2.2%
Other values (228) 7872
57.3%
Common
ValueCountFrequency (%)
( 151
49.2%
) 151
49.2%
/ 5
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13750
97.8%
ASCII 307
 
2.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
접 1257
 
9.1%
시 1129
 
8.2%
기 567
 
4.1%
항 516
 
3.8%
리 501
 
3.6%
아 489
 
3.6%
타 473
 
3.4%
일 328
 
2.4%
완 312
 
2.3%
대 306
 
2.2%
Other values (228) 7872
57.3%
ASCII
ValueCountFrequency (%)
( 151
49.2%
) 151
49.2%
/ 5
 
1.6%

Correlations

2023-12-12T19:42:34.953690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소장기관명재질(중)분류(대)분류(중)
소장기관명1.0000.8380.7830.844
재질(중)0.8381.0000.8870.918
분류(대)0.7830.8871.0001.000
분류(중)0.8440.9181.0001.000
2023-12-12T19:42:35.069229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소장기관명분류(대)
소장기관명1.0000.379
분류(대)0.3791.000
2023-12-12T19:42:35.172771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소장기관명분류(대)
소장기관명1.0000.379
분류(대)0.3791.000

Missing values

2023-12-12T19:42:27.240662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:42:27.407439image/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.
2023-12-12T19:42:27.599197image/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

소장품고유아이디소장기관명명칭다른명칭재질(중)분류(대)분류(중)분류(소)분류(세)
23745PS0100100500105708900000국립1-국립광주박물관-광주발형토기저부편鉢形土器底部片연질식생활음식기음식발
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