Overview

Dataset statistics

Number of variables3
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory312.5 KiB
Average record size in memory32.0 B

Variable types

Text3

Dataset

Description충남도립대학교 도서관이 소장하고 있는 도서 목록 데이터입니다.소장 도서의 등록번호, 서명, 청구기호 등의 항목을 제공합니다.
Author충청남도
URLhttps://www.data.go.kr/data/3046847/fileData.do

Alerts

등록번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 16:04:22.572537
Analysis finished2024-03-14 16:04:25.566570
Duration2.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

등록번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-15T01:04:26.193843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters90000
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 rowKM0065207
2nd rowKM0045079
3rd rowKM0011891
4th rowKM0071511
5th rowKM0006541
ValueCountFrequency (%)
km0065207 1
 
< 0.1%
km0027477 1
 
< 0.1%
km0034604 1
 
< 0.1%
km0006527 1
 
< 0.1%
km0034066 1
 
< 0.1%
km0052127 1
 
< 0.1%
km0073452 1
 
< 0.1%
km0062466 1
 
< 0.1%
km0070610 1
 
< 0.1%
km0070413 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-03-15T01:04:27.189512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 25271
28.1%
K 10000
 
11.1%
M 10000
 
11.1%
6 5553
 
6.2%
5 5359
 
6.0%
2 5306
 
5.9%
3 5290
 
5.9%
4 5254
 
5.8%
1 5184
 
5.8%
7 5039
 
5.6%
Other values (2) 7744
 
8.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 70000
77.8%
Uppercase Letter 20000
 
22.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 25271
36.1%
6 5553
 
7.9%
5 5359
 
7.7%
2 5306
 
7.6%
3 5290
 
7.6%
4 5254
 
7.5%
1 5184
 
7.4%
7 5039
 
7.2%
8 3889
 
5.6%
9 3855
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
K 10000
50.0%
M 10000
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 70000
77.8%
Latin 20000
 
22.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 25271
36.1%
6 5553
 
7.9%
5 5359
 
7.7%
2 5306
 
7.6%
3 5290
 
7.6%
4 5254
 
7.5%
1 5184
 
7.4%
7 5039
 
7.2%
8 3889
 
5.6%
9 3855
 
5.5%
Latin
ValueCountFrequency (%)
K 10000
50.0%
M 10000
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 90000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 25271
28.1%
K 10000
 
11.1%
M 10000
 
11.1%
6 5553
 
6.2%
5 5359
 
6.0%
2 5306
 
5.9%
3 5290
 
5.9%
4 5254
 
5.8%
1 5184
 
5.8%
7 5039
 
5.6%
Other values (2) 7744
 
8.6%

서명
Text

Distinct9294
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-15T01:04:28.370147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length214
Median length145
Mean length20.8654
Min length1

Characters and Unicode

Total characters208654
Distinct characters2172
Distinct categories18 ?
Distinct scripts6 ?
Distinct blocks13 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8681 ?
Unique (%)86.8%

Sample

1st row체계적인 소프트웨어 제품라인 개발 = Systematic software product line development
2nd row마르크스와 트로츠키
3rd row현지에서 본 일본의 지방자치실제 : 市ㆍ町ㆍ村을 중심으로
4th row(2012년도) 충남도립 청양대학 대표브랜드사업 평가 : 최종보고서
5th row관광문화재 이해
ValueCountFrequency (%)
5138
 
10.6%
1 294
 
0.6%
장편소설 293
 
0.6%
2 277
 
0.6%
of 247
 
0.5%
위한 204
 
0.4%
연구 196
 
0.4%
the 176
 
0.4%
및 167
 
0.3%
3 145
 
0.3%
Other values (21028) 41156
85.2%
2024-03-15T01:04:29.852685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
38798
 
18.6%
: 4217
 
2.0%
의 3852
 
1.8%
e 2840
 
1.4%
기 2437
 
1.2%
사 2381
 
1.1%
n 2317
 
1.1%
i 2282
 
1.1%
o 2248
 
1.1%
이 2228
 
1.1%
Other values (2162) 145054
69.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 119385
57.2%
Space Separator 38798
 
18.6%
Lowercase Letter 25543
 
12.2%
Decimal Number 7371
 
3.5%
Other Punctuation 7012
 
3.4%
Uppercase Letter 5069
 
2.4%
Open Punctuation 1962
 
0.9%
Close Punctuation 1943
 
0.9%
Math Symbol 972
 
0.5%
Dash Punctuation 490
 
0.2%
Other values (8) 109
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 3852
 
3.2%
기 2437
 
2.0%
사 2381
 
2.0%
이 2228
 
1.9%
한 1779
 
1.5%
학 1697
 
1.4%
리 1359
 
1.1%
과 1353
 
1.1%
대 1334
 
1.1%
는 1328
 
1.1%
Other values (2026) 99637
83.5%
Lowercase Letter
ValueCountFrequency (%)
e 2840
11.1%
n 2317
 
9.1%
i 2282
 
8.9%
o 2248
 
8.8%
a 2155
 
8.4%
t 2084
 
8.2%
r 1788
 
7.0%
s 1407
 
5.5%
l 1211
 
4.7%
c 1044
 
4.1%
Other values (33) 6167
24.1%
Uppercase Letter
ValueCountFrequency (%)
S 476
 
9.4%
C 411
 
8.1%
A 406
 
8.0%
T 398
 
7.9%
E 357
 
7.0%
I 316
 
6.2%
O 285
 
5.6%
P 271
 
5.3%
N 239
 
4.7%
R 234
 
4.6%
Other values (17) 1676
33.1%
Other Punctuation
ValueCountFrequency (%)
: 4217
60.1%
. 1925
27.5%
· 356
 
5.1%
' 129
 
1.8%
/ 102
 
1.5%
! 90
 
1.3%
? 71
 
1.0%
& 67
 
1.0%
＆ 17
 
0.2%
" 13
 
0.2%
Other values (7) 25
 
0.4%
Decimal Number
ValueCountFrequency (%)
2 1729
23.5%
1 1715
23.3%
0 1492
20.2%
3 560
 
7.6%
9 501
 
6.8%
4 336
 
4.6%
5 321
 
4.4%
6 255
 
3.5%
7 241
 
3.3%
8 221
 
3.0%
Math Symbol
ValueCountFrequency (%)
= 818
84.2%
+ 69
 
7.1%
~ 59
 
6.1%
∼ 9
 
0.9%
< 6
 
0.6%
> 6
 
0.6%
| 3
 
0.3%
× 2
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 1848
94.2%
[ 90
 
4.6%
『 16
 
0.8%
「 6
 
0.3%
【 1
 
0.1%
《 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1829
94.1%
] 90
 
4.6%
』 16
 
0.8%
」 6
 
0.3%
】 1
 
0.1%
》 1
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 43
50.0%
Ⅰ 27
31.4%
Ⅲ 11
 
12.8%
Ⅳ 4
 
4.7%
Ⅷ 1
 
1.2%
Other Number
ValueCountFrequency (%)
② 3
42.9%
① 2
28.6%
⑩ 1
 
14.3%
² 1
 
14.3%
Other Symbol
ValueCountFrequency (%)
★ 8
88.9%
ⓔ 1
 
11.1%
Control
ValueCountFrequency (%)
 1
50.0%
 1
50.0%
Space Separator
ValueCountFrequency (%)
38798
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 490
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 112768
54.0%
Common 58571
28.1%
Latin 30651
 
14.7%
Han 6613
 
3.2%
Cyrillic 47
 
< 0.1%
Katakana 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 3852
 
3.4%
기 2437
 
2.2%
사 2381
 
2.1%
이 2228
 
2.0%
한 1779
 
1.6%
학 1697
 
1.5%
리 1359
 
1.2%
과 1353
 
1.2%
대 1334
 
1.2%
는 1328
 
1.2%
Other values (1126) 93020
82.5%
Han
ValueCountFrequency (%)
學 270
 
4.1%
論 164
 
2.5%
國 144
 
2.2%
韓 120
 
1.8%
大 112
 
1.7%
法 86
 
1.3%
新 75
 
1.1%
理 72
 
1.1%
集 70
 
1.1%
文 70
 
1.1%
Other values (886) 5430
82.1%
Common
ValueCountFrequency (%)
38798
66.2%
: 4217
 
7.2%
. 1925
 
3.3%
( 1848
 
3.2%
) 1829
 
3.1%
2 1729
 
3.0%
1 1715
 
2.9%
0 1492
 
2.5%
= 818
 
1.4%
3 560
 
1.0%
Other values (51) 3640
 
6.2%
Latin
ValueCountFrequency (%)
e 2840
 
9.3%
n 2317
 
7.6%
i 2282
 
7.4%
o 2248
 
7.3%
a 2155
 
7.0%
t 2084
 
6.8%
r 1788
 
5.8%
s 1407
 
4.6%
l 1211
 
4.0%
c 1044
 
3.4%
Other values (47) 11275
36.8%
Cyrillic
ValueCountFrequency (%)
а 6
12.8%
с 6
12.8%
в 4
8.5%
р 4
8.5%
к 4
8.5%
у 3
 
6.4%
о 3
 
6.4%
и 3
 
6.4%
т 3
 
6.4%
я 2
 
4.3%
Other values (8) 9
19.1%
Katakana
ValueCountFrequency (%)
ル 1
25.0%
ポ 1
25.0%
タ 1
25.0%
ブ 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 112664
54.0%
ASCII 88677
42.5%
CJK 6445
 
3.1%
None 433
 
0.2%
CJK Compat Ideographs 168
 
0.1%
Compat Jamo 104
 
< 0.1%
Number Forms 86
 
< 0.1%
Cyrillic 47
 
< 0.1%
Math Operators 9
 
< 0.1%
Misc Symbols 8
 
< 0.1%
Other values (3) 13
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
38798
43.8%
: 4217
 
4.8%
e 2840
 
3.2%
n 2317
 
2.6%
i 2282
 
2.6%
o 2248
 
2.5%
a 2155
 
2.4%
t 2084
 
2.4%
. 1925
 
2.2%
( 1848
 
2.1%
Other values (80) 27963
31.5%
Hangul
ValueCountFrequency (%)
의 3852
 
3.4%
기 2437
 
2.2%
사 2381
 
2.1%
이 2228
 
2.0%
한 1779
 
1.6%
학 1697
 
1.5%
리 1359
 
1.2%
과 1353
 
1.2%
대 1334
 
1.2%
는 1328
 
1.2%
Other values (1117) 92916
82.5%
None
ValueCountFrequency (%)
· 356
82.2%
＆ 17
 
3.9%
』 16
 
3.7%
『 16
 
3.7%
％ 7
 
1.6%
」 6
 
1.4%
「 6
 
1.4%
× 2
 
0.5%
／ 1
 
0.2%
】 1
 
0.2%
Other values (5) 5
 
1.2%
CJK
ValueCountFrequency (%)
學 270
 
4.2%
論 164
 
2.5%
國 144
 
2.2%
韓 120
 
1.9%
大 112
 
1.7%
法 86
 
1.3%
新 75
 
1.2%
理 72
 
1.1%
集 70
 
1.1%
文 70
 
1.1%
Other values (844) 5262
81.6%
Compat Jamo
ValueCountFrequency (%)
ㆍ 84
80.8%
ㅣ 9
 
8.7%
ㄷ 2
 
1.9%
ㄴ 2
 
1.9%
ㅎ 2
 
1.9%
ㄱ 2
 
1.9%
ㅂ 1
 
1.0%
ㅇ 1
 
1.0%
ㅊ 1
 
1.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 43
50.0%
Ⅰ 27
31.4%
Ⅲ 11
 
12.8%
Ⅳ 4
 
4.7%
Ⅷ 1
 
1.2%
CJK Compat Ideographs
ValueCountFrequency (%)
理 36
21.4%
李 17
 
10.1%
力 15
 
8.9%
論 13
 
7.7%
歷 10
 
6.0%
女 7
 
4.2%
禮 6
 
3.6%
年 6
 
3.6%
六 5
 
3.0%
金 4
 
2.4%
Other values (32) 49
29.2%
Math Operators
ValueCountFrequency (%)
∼ 9
100.0%
Misc Symbols
ValueCountFrequency (%)
★ 8
100.0%
Cyrillic
ValueCountFrequency (%)
а 6
12.8%
с 6
12.8%
в 4
8.5%
р 4
8.5%
к 4
8.5%
у 3
 
6.4%
о 3
 
6.4%
и 3
 
6.4%
т 3
 
6.4%
я 2
 
4.3%
Other values (8) 9
19.1%
Enclosed Alphanum
ValueCountFrequency (%)
② 3
42.9%
① 2
28.6%
⑩ 1
 
14.3%
ⓔ 1
 
14.3%
Punctuation
ValueCountFrequency (%)
‘ 1
50.0%
’ 1
50.0%
Katakana
ValueCountFrequency (%)
ル 1
25.0%
ポ 1
25.0%
タ 1
25.0%
ブ 1
25.0%

청구기호
Text

Distinct8517
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-15T01:04:30.673584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length182
Median length111
Mean length12.1227
Min length1

Characters and Unicode

Total characters121227
Distinct characters788
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7607 ?
Unique (%)76.1%

Sample

1st row005.1-강775ㅊ
2nd row320.17-정312ㅁ
3rd row359.13-임941ㅎ
4th row377.1-충69ㅊ-CU
5th row600.15-신596ㄱ
ValueCountFrequency (%)
130
 
1.1%
080-대383-r 33
 
0.3%
811.608-미735 18
 
0.2%
322.004-국464ㄱ-g 17
 
0.2%
813.608-동875ㅎ 16
 
0.1%
337-충85ㅊ-g 16
 
0.1%
그 14
 
0.1%
377.5-충69ㅊ-cu 13
 
0.1%
위한 13
 
0.1%
the 12
 
0.1%
Other values (9349) 11026
97.5%
2024-03-15T01:04:32.048821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 11204
 
9.2%
3 10215
 
8.4%
1 9843
 
8.1%
5 7702
 
6.4%
. 7691
 
6.3%
8 7336
 
6.1%
9 7297
 
6.0%
6 6942
 
5.7%
7 6785
 
5.6%
2 6302
 
5.2%
Other values (778) 39910
32.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 72633
59.9%
Other Letter 25133
 
20.7%
Dash Punctuation 11204
 
9.2%
Other Punctuation 7843
 
6.5%
Uppercase Letter 1903
 
1.6%
Space Separator 1772
 
1.5%
Lowercase Letter 675
 
0.6%
Close Punctuation 26
 
< 0.1%
Math Symbol 22
 
< 0.1%
Open Punctuation 13
 
< 0.1%
Other values (3) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ㅇ 1653
 
6.6%
김 1405
 
5.6%
이 1331
 
5.3%
ㄱ 1287
 
5.1%
ㅅ 1276
 
5.1%
ㅎ 1219
 
4.9%
ㅈ 1018
 
4.1%
ㄷ 600
 
2.4%
ㅂ 520
 
2.1%
박 510
 
2.0%
Other values (699) 14314
57.0%
Uppercase Letter
ValueCountFrequency (%)
G 471
24.8%
R 410
21.5%
C 308
16.2%
E 226
11.9%
X 223
11.7%
U 113
 
5.9%
A 35
 
1.8%
T 32
 
1.7%
B 18
 
0.9%
D 10
 
0.5%
Other values (13) 57
 
3.0%
Lowercase Letter
ValueCountFrequency (%)
e 83
12.3%
t 63
9.3%
a 62
9.2%
n 61
 
9.0%
o 54
 
8.0%
i 53
 
7.9%
r 46
 
6.8%
s 45
 
6.7%
h 32
 
4.7%
d 23
 
3.4%
Other values (13) 153
22.7%
Decimal Number
ValueCountFrequency (%)
3 10215
14.1%
1 9843
13.6%
5 7702
10.6%
8 7336
10.1%
9 7297
10.0%
6 6942
9.6%
7 6785
9.3%
2 6302
8.7%
4 5647
7.8%
0 4564
6.3%
Other Punctuation
ValueCountFrequency (%)
. 7691
98.1%
: 112
 
1.4%
? 15
 
0.2%
! 10
 
0.1%
· 7
 
0.1%
' 6
 
0.1%
" 1
 
< 0.1%
/ 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
= 12
54.5%
~ 8
36.4%
> 1
 
4.5%
< 1
 
4.5%
Close Punctuation
ValueCountFrequency (%)
) 23
88.5%
』 2
 
7.7%
] 1
 
3.8%
Open Punctuation
ValueCountFrequency (%)
( 10
76.9%
『 2
 
15.4%
[ 1
 
7.7%
Dash Punctuation
ValueCountFrequency (%)
- 11204
100.0%
Space Separator
ValueCountFrequency (%)
1772
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 93515
77.1%
Hangul 25123
 
20.7%
Latin 2579
 
2.1%
Han 10
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
ㅇ 1653
 
6.6%
김 1405
 
5.6%
이 1331
 
5.3%
ㄱ 1287
 
5.1%
ㅅ 1276
 
5.1%
ㅎ 1219
 
4.9%
ㅈ 1018
 
4.1%
ㄷ 600
 
2.4%
ㅂ 520
 
2.1%
박 510
 
2.0%
Other values (689) 14304
56.9%
Latin
ValueCountFrequency (%)
G 471
18.3%
R 410
15.9%
C 308
11.9%
E 226
8.8%
X 223
 
8.6%
U 113
 
4.4%
e 83
 
3.2%
t 63
 
2.4%
a 62
 
2.4%
n 61
 
2.4%
Other values (37) 559
21.7%
Common
ValueCountFrequency (%)
- 11204
12.0%
3 10215
10.9%
1 9843
10.5%
5 7702
8.2%
. 7691
8.2%
8 7336
7.8%
9 7297
7.8%
6 6942
7.4%
7 6785
7.3%
2 6302
6.7%
Other values (22) 12198
13.0%
Han
ValueCountFrequency (%)
明 1
10.0%
鑑 1
10.0%
寶 1
10.0%
心 1
10.0%
知 1
10.0%
金 1
10.0%
昭 1
10.0%
影 1
10.0%
詩 1
10.0%
選 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 96080
79.3%
Hangul 15406
 
12.7%
Compat Jamo 9717
 
8.0%
None 11
 
< 0.1%
CJK 10
 
< 0.1%
Punctuation 2
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 11204
11.7%
3 10215
10.6%
1 9843
10.2%
5 7702
8.0%
. 7691
8.0%
8 7336
7.6%
9 7297
7.6%
6 6942
7.2%
7 6785
7.1%
2 6302
6.6%
Other values (63) 14763
15.4%
Compat Jamo
ValueCountFrequency (%)
ㅇ 1653
17.0%
ㄱ 1287
13.2%
ㅅ 1276
13.1%
ㅎ 1219
12.5%
ㅈ 1018
10.5%
ㄷ 600
 
6.2%
ㅂ 520
 
5.4%
ㅁ 495
 
5.1%
ㅊ 462
 
4.8%
ㄴ 364
 
3.7%
Other values (9) 823
8.5%
Hangul
ValueCountFrequency (%)
김 1405
 
9.1%
이 1331
 
8.6%
박 510
 
3.3%
한 489
 
3.2%
정 421
 
2.7%
최 319
 
2.1%
조 281
 
1.8%
충 229
 
1.5%
신 223
 
1.4%
강 217
 
1.4%
Other values (670) 9981
64.8%
None
ValueCountFrequency (%)
· 7
63.6%
『 2
 
18.2%
』 2
 
18.2%
CJK
ValueCountFrequency (%)
明 1
10.0%
鑑 1
10.0%
寶 1
10.0%
心 1
10.0%
知 1
10.0%
金 1
10.0%
昭 1
10.0%
影 1
10.0%
詩 1
10.0%
選 1
10.0%
Punctuation
ValueCountFrequency (%)
’ 1
50.0%
‘ 1
50.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

Missing values

2024-03-15T01:04:25.185074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T01:04:25.441058image/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

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