Overview

Dataset statistics

Number of variables10
Number of observations1145
Missing cells22
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory90.7 KiB
Average record size in memory81.1 B

Variable types

Numeric1
Text5
Categorical3
DateTime1

Dataset

Description제주특별자치도에서 관리하는 각종 기록물에 관련한 데이터로 고유번호, 제목, 내용, 유형, 수량, 규격, 재질등의 정보를 제공합니다.
URLhttps://www.data.go.kr/data/3067447/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
수량(권_건_점) is highly imbalanced (65.8%)Imbalance
재질 is highly imbalanced (79.8%)Imbalance
생산정보(년도) has 13 (1.1%) missing valuesMissing
일련번호 has unique valuesUnique
고유번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:25:46.010301
Analysis finished2023-12-12 22:25:47.467941
Duration1.46 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일련번호
Real number (ℝ)

UNIQUE 

Distinct1145
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean573
Minimum1
Maximum1145
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2023-12-13T07:25:47.532729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile58.2
Q1287
median573
Q3859
95-th percentile1087.8
Maximum1145
Range1144
Interquartile range (IQR)572

Descriptive statistics

Standard deviation330.67734
Coefficient of variation (CV)0.57709832
Kurtosis-1.2
Mean573
Median Absolute Deviation (MAD)286
Skewness0
Sum656085
Variance109347.5
MonotonicityStrictly increasing
2023-12-13T07:25:47.648163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
762 1
 
0.1%
768 1
 
0.1%
767 1
 
0.1%
766 1
 
0.1%
765 1
 
0.1%
764 1
 
0.1%
763 1
 
0.1%
761 1
 
0.1%
770 1
 
0.1%
Other values (1135) 1135
99.1%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1145 1
0.1%
1144 1
0.1%
1143 1
0.1%
1142 1
0.1%
1141 1
0.1%
1140 1
0.1%
1139 1
0.1%
1138 1
0.1%
1137 1
0.1%
1136 1
0.1%

고유번호
Text

UNIQUE 

Distinct1145
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
2023-12-13T07:25:47.932004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length6.9624454
Min length5

Characters and Unicode

Total characters7972
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

Unique1145 ?
Unique (%)100.0%

Sample

1st row001-001
2nd row001-002
3rd row001-003
4th row001-004
5th row001-005
ValueCountFrequency (%)
001-001 1
 
0.1%
156-018 1
 
0.1%
157-004 1
 
0.1%
157-003 1
 
0.1%
157-002 1
 
0.1%
157-001 1
 
0.1%
156-020 1
 
0.1%
157-008 1
 
0.1%
156-017 1
 
0.1%
157-006 1
 
0.1%
Other values (1135) 1135
99.1%
2023-12-13T07:25:48.343043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2801
35.1%
1 1210
15.2%
- 1146
14.4%
2 591
 
7.4%
3 443
 
5.6%
4 356
 
4.5%
6 308
 
3.9%
5 307
 
3.9%
9 300
 
3.8%
8 263
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6826
85.6%
Dash Punctuation 1146
 
14.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2801
41.0%
1 1210
17.7%
2 591
 
8.7%
3 443
 
6.5%
4 356
 
5.2%
6 308
 
4.5%
5 307
 
4.5%
9 300
 
4.4%
8 263
 
3.9%
7 247
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 1146
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7972
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2801
35.1%
1 1210
15.2%
- 1146
14.4%
2 591
 
7.4%
3 443
 
5.6%
4 356
 
4.5%
6 308
 
3.9%
5 307
 
3.9%
9 300
 
3.8%
8 263
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7972
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2801
35.1%
1 1210
15.2%
- 1146
14.4%
2 591
 
7.4%
3 443
 
5.6%
4 356
 
4.5%
6 308
 
3.9%
5 307
 
3.9%
9 300
 
3.8%
8 263
 
3.3%

제목
Text

Distinct928
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
2023-12-13T07:25:48.603727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length26
Mean length9.4681223
Min length1

Characters and Unicode

Total characters10841
Distinct characters534
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique862 ?
Unique (%)75.3%

Sample

1st row가례증해 전10권
2nd row가례증해 전10권
3rd row주역 전14권
4th row주역언해 전7권
5th row맹자
ValueCountFrequency (%)
사진 66
 
2.8%
개인사진 60
 
2.5%
표창장 29
 
1.2%
사본 27
 
1.1%
졸업앨범 21
 
0.9%
등 20
 
0.8%
수료증 20
 
0.8%
상장 20
 
0.8%
임명장 18
 
0.8%
신문 17
 
0.7%
Other values (1492) 2070
87.4%
2023-12-13T07:25:48.980086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1223
 
11.3%
사 399
 
3.7%
진 233
 
2.1%
장 225
 
2.1%
서 217
 
2.0%
제 178
 
1.6%
기 157
 
1.4%
교 157
 
1.4%
) 148
 
1.4%
( 148
 
1.4%
Other values (524) 7756
71.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8716
80.4%
Space Separator 1223
 
11.3%
Decimal Number 447
 
4.1%
Close Punctuation 148
 
1.4%
Open Punctuation 148
 
1.4%
Uppercase Letter 52
 
0.5%
Dash Punctuation 49
 
0.5%
Other Punctuation 42
 
0.4%
Math Symbol 12
 
0.1%
Letter Number 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 399
 
4.6%
진 233
 
2.7%
장 225
 
2.6%
서 217
 
2.5%
제 178
 
2.0%
기 157
 
1.8%
교 157
 
1.8%
대 142
 
1.6%
주 141
 
1.6%
학 140
 
1.6%
Other values (482) 6727
77.2%
Uppercase Letter
ValueCountFrequency (%)
C 7
13.5%
R 5
9.6%
E 5
9.6%
B 5
9.6%
A 5
9.6%
I 5
9.6%
O 4
7.7%
J 3
5.8%
K 3
5.8%
S 3
5.8%
Other values (5) 7
13.5%
Decimal Number
ValueCountFrequency (%)
1 90
20.1%
0 87
19.5%
2 64
14.3%
9 49
11.0%
3 33
 
7.4%
4 33
 
7.4%
8 27
 
6.0%
6 26
 
5.8%
7 20
 
4.5%
5 18
 
4.0%
Other Punctuation
ValueCountFrequency (%)
· 23
54.8%
. 10
23.8%
' 3
 
7.1%
? 2
 
4.8%
" 2
 
4.8%
! 1
 
2.4%
/ 1
 
2.4%
Math Symbol
ValueCountFrequency (%)
< 4
33.3%
> 4
33.3%
~ 4
33.3%
Letter Number
ValueCountFrequency (%)
Ⅰ 2
66.7%
Ⅱ 1
33.3%
Space Separator
ValueCountFrequency (%)
1223
100.0%
Close Punctuation
ValueCountFrequency (%)
) 148
100.0%
Open Punctuation
ValueCountFrequency (%)
( 148
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%
Modifier Symbol
ValueCountFrequency (%)
˙ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8695
80.2%
Common 2070
 
19.1%
Latin 55
 
0.5%
Han 21
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 399
 
4.6%
진 233
 
2.7%
장 225
 
2.6%
서 217
 
2.5%
제 178
 
2.0%
기 157
 
1.8%
교 157
 
1.8%
대 142
 
1.6%
주 141
 
1.6%
학 140
 
1.6%
Other values (464) 6706
77.1%
Common
ValueCountFrequency (%)
1223
59.1%
) 148
 
7.1%
( 148
 
7.1%
1 90
 
4.3%
0 87
 
4.2%
2 64
 
3.1%
9 49
 
2.4%
- 49
 
2.4%
3 33
 
1.6%
4 33
 
1.6%
Other values (15) 146
 
7.1%
Han
ValueCountFrequency (%)
名 2
 
9.5%
撰 2
 
9.5%
全 2
 
9.5%
韻 1
 
4.8%
歌 1
 
4.8%
狀 1
 
4.8%
百 1
 
4.8%
牘 1
 
4.8%
代 1
 
4.8%
年 1
 
4.8%
Other values (8) 8
38.1%
Latin
ValueCountFrequency (%)
C 7
12.7%
R 5
9.1%
E 5
9.1%
B 5
9.1%
A 5
9.1%
I 5
9.1%
O 4
 
7.3%
J 3
 
5.5%
K 3
 
5.5%
S 3
 
5.5%
Other values (7) 10
18.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8695
80.2%
ASCII 2098
 
19.4%
None 23
 
0.2%
CJK 18
 
0.2%
Number Forms 3
 
< 0.1%
CJK Compat Ideographs 3
 
< 0.1%
Modifier Letters 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1223
58.3%
) 148
 
7.1%
( 148
 
7.1%
1 90
 
4.3%
0 87
 
4.1%
2 64
 
3.1%
9 49
 
2.3%
- 49
 
2.3%
3 33
 
1.6%
4 33
 
1.6%
Other values (28) 174
 
8.3%
Hangul
ValueCountFrequency (%)
사 399
 
4.6%
진 233
 
2.7%
장 225
 
2.6%
서 217
 
2.5%
제 178
 
2.0%
기 157
 
1.8%
교 157
 
1.8%
대 142
 
1.6%
주 141
 
1.6%
학 140
 
1.6%
Other values (464) 6706
77.1%
None
ValueCountFrequency (%)
· 23
100.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 2
66.7%
Ⅱ 1
33.3%
CJK
ValueCountFrequency (%)
名 2
 
11.1%
撰 2
 
11.1%
全 2
 
11.1%
韻 1
 
5.6%
歌 1
 
5.6%
百 1
 
5.6%
牘 1
 
5.6%
代 1
 
5.6%
紀 1
 
5.6%
草 1
 
5.6%
Other values (5) 5
27.8%
CJK Compat Ideographs
ValueCountFrequency (%)
狀 1
33.3%
年 1
33.3%
歷 1
33.3%
Modifier Letters
ValueCountFrequency (%)
˙ 1
100.0%

내용
Text

Distinct1087
Distinct (%)95.2%
Missing3
Missing (%)0.3%
Memory size9.1 KiB
2023-12-13T07:25:49.280933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length200
Median length110
Mean length28.505254
Min length1

Characters and Unicode

Total characters32553
Distinct characters728
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1063 ?
Unique (%)93.1%

Sample

1st row가례증해 목록(10권)과 1권부터 9권까지. 2권 통례·관례·계례·혼례. 3권 상례(초종·습). 4권 상례(소렴·대렴·성복). 5권 상례(성복·조석곡존상식·조존부·문상분상). 6권 상례(치규·천구·유존·발인·하관·제주·성분·반곡·여묘). 7권 상례(우제·졸곡·부제·소상). 8권 상례(대상·선제·길제·개규). 9권 제례(사시제·초조제·예제·기제)
2nd row가례증해 목록과 1권부터 9권까지.
3rd row주역전집·주역1권-13권까지 (주역 4권은 편집·도판·조형 형태가 나머지 책자와 다름)
4th row주역언해 개별 권으로 1권·2권·4권이 있고·5-6권 합권·7-9권 합권·9-11권 합권·12-13권 합권. 제목에 표기 오류가 있는 것이 있음. 마지막 권에는 경진신간 내각장판 표시로 마지막 권에 쓰는 출처를 명시하고 있음.
5th row총 14권. 맹자1권-맹자7권 (맹자집주서설·맹자집주대전권지2-권지14까지 포함하고 있으며 누락된 부분 있으며·마지막 7권에는 경진신간 내각장판 표시로 마지막 권에 쓰는 출처 명시하고 있음)·맹자 2권-7권. 1권은 누락되었고·4권의 경우 표시는 없지만 내용상 4권으로 확인됨. 맹자7권은 동일한 내용의 권으로 확인되는 2권이 존재하나 한 권은 훼손이 심함.
ValueCountFrequency (%)
사진 102
 
1.6%
등 90
 
1.4%
제주도 36
 
0.6%
있음 30
 
0.5%
수여 29
 
0.5%
대한 23
 
0.4%
기념 23
 
0.4%
및 22
 
0.4%
대통령 21
 
0.3%
자료 19
 
0.3%
Other values (4172) 5868
93.7%
2023-12-13T07:25:49.729376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5121
 
15.7%
사 596
 
1.8%
· 587
 
1.8%
1 565
 
1.7%
제 505
 
1.6%
주 431
 
1.3%
기 427
 
1.3%
9 393
 
1.2%
2 380
 
1.2%
장 366
 
1.1%
Other values (718) 23182
71.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22442
68.9%
Space Separator 5121
 
15.7%
Decimal Number 2744
 
8.4%
Other Punctuation 1037
 
3.2%
Open Punctuation 349
 
1.1%
Close Punctuation 345
 
1.1%
Dash Punctuation 188
 
0.6%
Lowercase Letter 164
 
0.5%
Uppercase Letter 145
 
0.4%
Math Symbol 11
 
< 0.1%
Other values (2) 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 596
 
2.7%
제 505
 
2.3%
주 431
 
1.9%
기 427
 
1.9%
장 366
 
1.6%
지 348
 
1.6%
서 333
 
1.5%
교 330
 
1.5%
년 322
 
1.4%
도 304
 
1.4%
Other values (644) 18480
82.3%
Uppercase Letter
ValueCountFrequency (%)
O 14
 
9.7%
C 12
 
8.3%
R 12
 
8.3%
E 11
 
7.6%
B 10
 
6.9%
U 9
 
6.2%
S 9
 
6.2%
D 8
 
5.5%
A 8
 
5.5%
T 7
 
4.8%
Other values (12) 45
31.0%
Lowercase Letter
ValueCountFrequency (%)
i 20
12.2%
e 19
11.6%
n 18
11.0%
t 15
9.1%
o 13
 
7.9%
s 12
 
7.3%
r 11
 
6.7%
a 9
 
5.5%
h 8
 
4.9%
c 5
 
3.0%
Other values (10) 34
20.7%
Other Punctuation
ValueCountFrequency (%)
· 587
56.6%
. 357
34.4%
' 52
 
5.0%
/ 19
 
1.8%
" 8
 
0.8%
: 4
 
0.4%
* 4
 
0.4%
※ 3
 
0.3%
% 2
 
0.2%
? 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
1 565
20.6%
9 393
14.3%
2 380
13.8%
0 342
12.5%
8 209
 
7.6%
7 192
 
7.0%
3 185
 
6.7%
6 173
 
6.3%
4 164
 
6.0%
5 141
 
5.1%
Math Symbol
ValueCountFrequency (%)
~ 7
63.6%
< 2
 
18.2%
> 2
 
18.2%
Open Punctuation
ValueCountFrequency (%)
( 348
99.7%
「 1
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 344
99.7%
」 1
 
0.3%
Letter Number
ValueCountFrequency (%)
Ⅰ 2
66.7%
Ⅱ 1
33.3%
Space Separator
ValueCountFrequency (%)
5121
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 188
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22397
68.8%
Common 9795
30.1%
Latin 312
 
1.0%
Han 49
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 596
 
2.7%
제 505
 
2.3%
주 431
 
1.9%
기 427
 
1.9%
장 366
 
1.6%
지 348
 
1.6%
서 333
 
1.5%
교 330
 
1.5%
년 322
 
1.4%
도 304
 
1.4%
Other values (603) 18435
82.3%
Latin
ValueCountFrequency (%)
i 20
 
6.4%
e 19
 
6.1%
n 18
 
5.8%
t 15
 
4.8%
O 14
 
4.5%
o 13
 
4.2%
C 12
 
3.8%
R 12
 
3.8%
s 12
 
3.8%
r 11
 
3.5%
Other values (34) 166
53.2%
Han
ValueCountFrequency (%)
任 3
 
6.1%
上 2
 
4.1%
狀 2
 
4.1%
撰 2
 
4.1%
聘 2
 
4.1%
名 2
 
4.1%
姻 1
 
2.0%
氏 1
 
2.0%
故 1
 
2.0%
喪 1
 
2.0%
Other values (32) 32
65.3%
Common
ValueCountFrequency (%)
5121
52.3%
· 587
 
6.0%
1 565
 
5.8%
9 393
 
4.0%
2 380
 
3.9%
. 357
 
3.6%
( 348
 
3.6%
) 344
 
3.5%
0 342
 
3.5%
8 209
 
2.1%
Other values (19) 1149
 
11.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22390
68.8%
ASCII 9512
29.2%
None 593
 
1.8%
CJK 45
 
0.1%
CJK Compat Ideographs 4
 
< 0.1%
Punctuation 3
 
< 0.1%
Compat Jamo 3
 
< 0.1%
Number Forms 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5121
53.8%
1 565
 
5.9%
9 393
 
4.1%
2 380
 
4.0%
. 357
 
3.8%
( 348
 
3.7%
) 344
 
3.6%
0 342
 
3.6%
8 209
 
2.2%
7 192
 
2.0%
Other values (57) 1261
 
13.3%
Hangul
ValueCountFrequency (%)
사 596
 
2.7%
제 505
 
2.3%
주 431
 
1.9%
기 427
 
1.9%
장 366
 
1.6%
지 348
 
1.6%
서 333
 
1.5%
교 330
 
1.5%
년 322
 
1.4%
도 304
 
1.4%
Other values (600) 18428
82.3%
None
ValueCountFrequency (%)
· 587
99.0%
㈜ 4
 
0.7%
「 1
 
0.2%
」 1
 
0.2%
Punctuation
ValueCountFrequency (%)
※ 3
100.0%
CJK
ValueCountFrequency (%)
任 3
 
6.7%
上 2
 
4.4%
撰 2
 
4.4%
聘 2
 
4.4%
名 2
 
4.4%
姻 1
 
2.2%
氏 1
 
2.2%
故 1
 
2.2%
喪 1
 
2.2%
葬 1
 
2.2%
Other values (29) 29
64.4%
CJK Compat Ideographs
ValueCountFrequency (%)
狀 2
50.0%
宅 1
25.0%
樂 1
25.0%
Compat Jamo
ValueCountFrequency (%)
ㅇ 2
66.7%
ㄹ 1
33.3%
Number Forms
ValueCountFrequency (%)
Ⅰ 2
66.7%
Ⅱ 1
33.3%

생산정보(년도)
Text

MISSING 

Distinct360
Distinct (%)31.8%
Missing13
Missing (%)1.1%
Memory size9.1 KiB
2023-12-13T07:25:49.958948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length4
Mean length5.0954064
Min length1

Characters and Unicode

Total characters5768
Distinct characters70
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique255 ?
Unique (%)22.5%

Sample

1st row미상
2nd row미상
3rd row미상
4th row미상
5th row미상
ValueCountFrequency (%)
미상 81
 
6.9%
1988 24
 
2.0%
1990 24
 
2.0%
1980 24
 
2.0%
1970년대 22
 
1.9%
1986 20
 
1.7%
1985 20
 
1.7%
1991 19
 
1.6%
1982 19
 
1.6%
1989 19
 
1.6%
Other values (358) 904
76.9%
2023-12-13T07:25:50.304045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 1314
22.8%
1 1159
20.1%
0 607
10.5%
8 418
 
7.2%
2 316
 
5.5%
6 267
 
4.6%
7 267
 
4.6%
5 231
 
4.0%
년 177
 
3.1%
4 158
 
2.7%
Other values (60) 854
14.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4836
83.8%
Other Letter 638
 
11.1%
Dash Punctuation 143
 
2.5%
Space Separator 44
 
0.8%
Math Symbol 41
 
0.7%
Other Punctuation 32
 
0.6%
Open Punctuation 17
 
0.3%
Close Punctuation 17
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
년 177
27.7%
대 114
17.9%
상 88
13.8%
미 88
13.8%
무 14
 
2.2%
기 14
 
2.2%
월 11
 
1.7%
광 10
 
1.6%
정 7
 
1.1%
연 7
 
1.1%
Other values (41) 108
16.9%
Decimal Number
ValueCountFrequency (%)
9 1314
27.2%
1 1159
24.0%
0 607
12.6%
8 418
 
8.6%
2 316
 
6.5%
6 267
 
5.5%
7 267
 
5.5%
5 231
 
4.8%
4 158
 
3.3%
3 99
 
2.0%
Other Punctuation
ValueCountFrequency (%)
, 21
65.6%
. 5
 
15.6%
· 3
 
9.4%
' 3
 
9.4%
Dash Punctuation
ValueCountFrequency (%)
- 143
100.0%
Space Separator
ValueCountFrequency (%)
44
100.0%
Math Symbol
ValueCountFrequency (%)
~ 41
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5130
88.9%
Hangul 638
 
11.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
년 177
27.7%
대 114
17.9%
상 88
13.8%
미 88
13.8%
무 14
 
2.2%
기 14
 
2.2%
월 11
 
1.7%
광 10
 
1.6%
정 7
 
1.1%
연 7
 
1.1%
Other values (41) 108
16.9%
Common
ValueCountFrequency (%)
9 1314
25.6%
1 1159
22.6%
0 607
11.8%
8 418
 
8.1%
2 316
 
6.2%
6 267
 
5.2%
7 267
 
5.2%
5 231
 
4.5%
4 158
 
3.1%
- 143
 
2.8%
Other values (9) 250
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5127
88.9%
Hangul 638
 
11.1%
None 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 1314
25.6%
1 1159
22.6%
0 607
11.8%
8 418
 
8.2%
2 316
 
6.2%
6 267
 
5.2%
7 267
 
5.2%
5 231
 
4.5%
4 158
 
3.1%
- 143
 
2.8%
Other values (8) 247
 
4.8%
Hangul
ValueCountFrequency (%)
년 177
27.7%
대 114
17.9%
상 88
13.8%
미 88
13.8%
무 14
 
2.2%
기 14
 
2.2%
월 11
 
1.7%
광 10
 
1.6%
정 7
 
1.1%
연 7
 
1.1%
Other values (41) 108
16.9%
None
ValueCountFrequency (%)
· 3
100.0%

유형
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
문서류
587 
박물류
333 
시청각류
225 

Length

Max length4
Median length3
Mean length3.1965066
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
문서류 587
51.3%
박물류 333
29.1%
시청각류 225
 
19.7%

Length

2023-12-13T07:25:50.411094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:25:50.485040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
문서류 587
51.3%
박물류 333
29.1%
시청각류 225
 
19.7%

수량(권_건_점)
Categorical

IMBALANCE 

Distinct41
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
1
840 
2
 
81
3
 
56
4
 
36
8
 
17
Other values (36)
115 

Length

Max length3
Median length1
Mean length1.060262
Min length1

Unique

Unique23 ?
Unique (%)2.0%

Sample

1st row10
2nd row9
3rd row14
4th row7
5th row15

Common Values

ValueCountFrequency (%)
1 840
73.4%
2 81
 
7.1%
3 56
 
4.9%
4 36
 
3.1%
8 17
 
1.5%
5 16
 
1.4%
6 13
 
1.1%
14 11
 
1.0%
10 10
 
0.9%
7 10
 
0.9%
Other values (31) 55
 
4.8%

Length

2023-12-13T07:25:50.575395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1 840
73.4%
2 81
 
7.1%
3 56
 
4.9%
4 36
 
3.1%
8 17
 
1.5%
5 16
 
1.4%
6 13
 
1.1%
14 11
 
1.0%
10 10
 
0.9%
7 10
 
0.9%
Other values (31) 55
 
4.8%

규격
Text

Distinct505
Distinct (%)44.3%
Missing6
Missing (%)0.5%
Memory size9.1 KiB
2023-12-13T07:25:50.843641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length5
Mean length5.4064969
Min length1

Characters and Unicode

Total characters6158
Distinct characters25
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique353 ?
Unique (%)31.0%

Sample

1st row21*31
2nd row21*31
3rd row20*30
4th row21*31
5th row20*30
ValueCountFrequency (%)
21*30 81
 
7.0%
19*26 56
 
4.9%
20*30 24
 
2.1%
20*27 23
 
2.0%
19*27 21
 
1.8%
15*22 18
 
1.6%
13*19 16
 
1.4%
11*8 15
 
1.3%
20*26 14
 
1.2%
15*11 14
 
1.2%
Other values (505) 868
75.5%
2023-12-13T07:25:51.228670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1165
18.9%
2 1089
17.7%
1 960
15.6%
5 531
8.6%
3 489
7.9%
0 432
 
7.0%
. 289
 
4.7%
9 279
 
4.5%
6 252
 
4.1%
8 227
 
3.7%
Other values (15) 445
 
7.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4656
75.6%
Other Punctuation 1454
 
23.6%
Other Letter 36
 
0.6%
Space Separator 11
 
0.2%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 11
30.6%
름 11
30.6%
중 2
 
5.6%
높 2
 
5.6%
이 2
 
5.6%
그 2
 
5.6%
릇 2
 
5.6%
밥 1
 
2.8%
국 1
 
2.8%
뚜 1
 
2.8%
Decimal Number
ValueCountFrequency (%)
2 1089
23.4%
1 960
20.6%
5 531
11.4%
3 489
10.5%
0 432
 
9.3%
9 279
 
6.0%
6 252
 
5.4%
8 227
 
4.9%
7 223
 
4.8%
4 174
 
3.7%
Other Punctuation
ValueCountFrequency (%)
* 1165
80.1%
. 289
 
19.9%
Space Separator
ValueCountFrequency (%)
11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6122
99.4%
Hangul 36
 
0.6%

Most frequent character per script

Common
ValueCountFrequency (%)
* 1165
19.0%
2 1089
17.8%
1 960
15.7%
5 531
8.7%
3 489
8.0%
0 432
 
7.1%
. 289
 
4.7%
9 279
 
4.6%
6 252
 
4.1%
8 227
 
3.7%
Other values (4) 409
 
6.7%
Hangul
ValueCountFrequency (%)
지 11
30.6%
름 11
30.6%
중 2
 
5.6%
높 2
 
5.6%
이 2
 
5.6%
그 2
 
5.6%
릇 2
 
5.6%
밥 1
 
2.8%
국 1
 
2.8%
뚜 1
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6122
99.4%
Hangul 36
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1165
19.0%
2 1089
17.8%
1 960
15.7%
5 531
8.7%
3 489
8.0%
0 432
 
7.1%
. 289
 
4.7%
9 279
 
4.6%
6 252
 
4.1%
8 227
 
3.7%
Other values (4) 409
 
6.7%
Hangul
ValueCountFrequency (%)
지 11
30.6%
름 11
30.6%
중 2
 
5.6%
높 2
 
5.6%
이 2
 
5.6%
그 2
 
5.6%
릇 2
 
5.6%
밥 1
 
2.8%
국 1
 
2.8%
뚜 1
 
2.8%

재질
Categorical

IMBALANCE 

Distinct15
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
종이
1023 
금속
 
33
나무
 
33
플라스틱
 
17
유리
 
16
Other values (10)
 
23

Length

Max length5
Median length2
Mean length2.0419214
Min length1

Unique

Unique5 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
종이 1023
89.3%
금속 33
 
2.9%
나무 33
 
2.9%
플라스틱 17
 
1.5%
유리 16
 
1.4%
도자기 8
 
0.7%
섬유 3
 
0.3%
사진 3
 
0.3%
석재 2
 
0.2%
종이,금속 2
 
0.2%
Other values (5) 5
 
0.4%

Length

2023-12-13T07:25:51.349993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
종이 1023
89.3%
금속 33
 
2.9%
나무 33
 
2.9%
플라스틱 17
 
1.5%
유리 16
 
1.4%
도자기 8
 
0.7%
섬유 3
 
0.3%
사진 3
 
0.3%
석재 2
 
0.2%
종이,금속 2
 
0.2%
Other values (5) 5
 
0.4%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
Minimum2022-11-18 00:00:00
Maximum2022-11-18 00:00:00
2023-12-13T07:25:51.433990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:25:51.525988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T07:25:46.956830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:25:51.585441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호유형수량(권_건_점)재질
일련번호1.0000.4110.3610.267
유형0.4111.0000.3650.635
수량(권_건_점)0.3610.3651.0000.742
재질0.2670.6350.7421.000
2023-12-13T07:25:51.657932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유형수량(권_건_점)재질
유형1.0000.1910.367
수량(권_건_점)0.1911.0000.305
재질0.3670.3051.000
2023-12-13T07:25:51.732575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호유형수량(권_건_점)재질
일련번호1.0000.2710.1300.102
유형0.2711.0000.1910.367
수량(권_건_점)0.1300.1911.0000.305
재질0.1020.3670.3051.000

Missing values

2023-12-13T07:25:47.091548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:25:47.292264image/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.
2023-12-13T07:25:47.394566image/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

일련번호고유번호제목내용생산정보(년도)유형수량(권_건_점)규격재질데이터기준일자
01001-001가례증해 전10권가례증해 목록(10권)과 1권부터 9권까지. 2권 통례·관례·계례·혼례. 3권 상례(초종·습). 4권 상례(소렴·대렴·성복). 5권 상례(성복·조석곡존상식·조존부·문상분상). 6권 상례(치규·천구·유존·발인·하관·제주·성분·반곡·여묘). 7권 상례(우제·졸곡·부제·소상). 8권 상례(대상·선제·길제·개규). 9권 제례(사시제·초조제·예제·기제)미상문서류1021*31종이2022-11-18
12001-002가례증해 전10권가례증해 목록과 1권부터 9권까지.미상문서류921*31종이2022-11-18
23001-003주역 전14권주역전집·주역1권-13권까지 (주역 4권은 편집·도판·조형 형태가 나머지 책자와 다름)미상문서류1420*30종이2022-11-18
34001-004주역언해 전7권주역언해 개별 권으로 1권·2권·4권이 있고·5-6권 합권·7-9권 합권·9-11권 합권·12-13권 합권. 제목에 표기 오류가 있는 것이 있음. 마지막 권에는 경진신간 내각장판 표시로 마지막 권에 쓰는 출처를 명시하고 있음.미상문서류721*31종이2022-11-18
45001-005맹자총 14권. 맹자1권-맹자7권 (맹자집주서설·맹자집주대전권지2-권지14까지 포함하고 있으며 누락된 부분 있으며·마지막 7권에는 경진신간 내각장판 표시로 마지막 권에 쓰는 출처 명시하고 있음)·맹자 2권-7권. 1권은 누락되었고·4권의 경우 표시는 없지만 내용상 4권으로 확인됨. 맹자7권은 동일한 내용의 권으로 확인되는 2권이 존재하나 한 권은 훼손이 심함.미상문서류1520*30종이2022-11-18
56001-006맹자언해총 15권. 맹자 또는 맹해라고 제목이 붙은 1권-7권으로 총 6권(5권 누락. 3권은 제목 없으나 내용상 3권으로 확인). 맹해·맹자해·언해맹자 등의 이름이 붙은 1권-7권으로 총 7권·다른 버전의 맹자언해5·6권 총 2권이 더 존재.미상문서류1520*30종이2022-11-18
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