Overview

Dataset statistics

Number of variables9
Number of observations2113
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory154.9 KiB
Average record size in memory75.1 B

Variable types

Numeric3
Text5
Categorical1

Dataset

Description대구2·28기념학생도서관에서 소장하고 있는 신착자료(도서,DVD) 청구기호, 서명, 저자명, 자료실명 등 정보 제공
Author대구광역시교육청 대구2.28기념학생도서관
URLhttps://www.data.go.kr/data/15048864/fileData.do

Alerts

번호 has unique valuesUnique
등록번호 has unique valuesUnique

Reproduction

Analysis started2024-04-21 01:13:56.321372
Analysis finished2024-04-21 01:13:59.942024
Duration3.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct2113
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1057
Minimum1
Maximum2113
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.7 KiB
2024-04-21T10:14:00.009835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile106.6
Q1529
median1057
Q31585
95-th percentile2007.4
Maximum2113
Range2112
Interquartile range (IQR)1056

Descriptive statistics

Standard deviation610.11488
Coefficient of variation (CV)0.5772137
Kurtosis-1.2
Mean1057
Median Absolute Deviation (MAD)528
Skewness0
Sum2233441
Variance372240.17
MonotonicityStrictly increasing
2024-04-21T10:14:00.134876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1405 1
 
< 0.1%
1419 1
 
< 0.1%
1418 1
 
< 0.1%
1417 1
 
< 0.1%
1416 1
 
< 0.1%
1415 1
 
< 0.1%
1414 1
 
< 0.1%
1413 1
 
< 0.1%
1412 1
 
< 0.1%
Other values (2103) 2103
99.5%
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 (%)
2113 1
< 0.1%
2112 1
< 0.1%
2111 1
< 0.1%
2110 1
< 0.1%
2109 1
< 0.1%
2108 1
< 0.1%
2107 1
< 0.1%
2106 1
< 0.1%
2105 1
< 0.1%
2104 1
< 0.1%

등록번호
Text

UNIQUE 

Distinct2113
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size16.6 KiB
2024-04-21T10:14:00.318463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters25356
Distinct characters16
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

Unique2113 ?
Unique (%)100.0%

Sample

1st rowAAA000000001
2nd rowBTF000476242
3rd rowBTF000476549
4th rowBTF000476612
5th rowBTF000476613
ValueCountFrequency (%)
aaa000000001 1
 
< 0.1%
bua000477458 1
 
< 0.1%
bua000477473 1
 
< 0.1%
bua000477472 1
 
< 0.1%
bua000477471 1
 
< 0.1%
bua000477470 1
 
< 0.1%
bua000477469 1
 
< 0.1%
bua000477468 1
 
< 0.1%
bua000477467 1
 
< 0.1%
bua000477466 1
 
< 0.1%
Other values (2103) 2103
99.5%
2024-04-21T10:14:00.593826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6996
27.6%
7 3737
14.7%
4 2735
 
10.8%
B 2112
 
8.3%
A 2103
 
8.3%
U 2100
 
8.3%
6 1563
 
6.2%
8 791
 
3.1%
1 697
 
2.7%
2 630
 
2.5%
Other values (6) 1892
 
7.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19017
75.0%
Uppercase Letter 6339
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6996
36.8%
7 3737
19.7%
4 2735
 
14.4%
6 1563
 
8.2%
8 791
 
4.2%
1 697
 
3.7%
2 630
 
3.3%
3 624
 
3.3%
5 622
 
3.3%
9 622
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
B 2112
33.3%
A 2103
33.2%
U 2100
33.1%
T 12
 
0.2%
F 10
 
0.2%
G 2
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 19017
75.0%
Latin 6339
 
25.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6996
36.8%
7 3737
19.7%
4 2735
 
14.4%
6 1563
 
8.2%
8 791
 
4.2%
1 697
 
3.7%
2 630
 
3.3%
3 624
 
3.3%
5 622
 
3.3%
9 622
 
3.3%
Latin
ValueCountFrequency (%)
B 2112
33.3%
A 2103
33.2%
U 2100
33.1%
T 12
 
0.2%
F 10
 
0.2%
G 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 25356
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6996
27.6%
7 3737
14.7%
4 2735
 
10.8%
B 2112
 
8.3%
A 2103
 
8.3%
U 2100
 
8.3%
6 1563
 
6.2%
8 791
 
3.1%
1 697
 
2.7%
2 630
 
2.5%
Other values (6) 1892
 
7.5%

자료실
Categorical

Distinct20
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size16.6 KiB
[학생]일반자료실
1210 
[학생]어린이신간(어린이자료실)
203 
[학생]이야기방(어린이자료실)
157 
[학생]청소년(일반자료실)
151 
[학생]초등교과관련(어린이자료실)
148 
Other values (15)
244 

Length

Max length20
Median length9
Mean length11.742546
Min length9

Unique

Unique3 ?
Unique (%)0.1%

Sample

1st row[학생]일반자료실
2nd row[학생]일반자료실
3rd row[학생]일반자료실
4th row[학생]어린이자료실
5th row[학생]어린이자료실

Common Values

ValueCountFrequency (%)
[학생]일반자료실 1210
57.3%
[학생]어린이신간(어린이자료실) 203
 
9.6%
[학생]이야기방(어린이자료실) 157
 
7.4%
[학생]청소년(일반자료실) 151
 
7.1%
[학생]초등교과관련(어린이자료실) 148
 
7.0%
[학생]불로작은도서관 74
 
3.5%
[학생]어린이자료실 72
 
3.4%
[학생]어린이만화(어린이자료실) 55
 
2.6%
[학생]어른을위한그림책(어린이자료실) 11
 
0.5%
[학생]만화(일반자료실) 6
 
0.3%
Other values (10) 26
 
1.2%

Length

2024-04-21T10:14:00.728061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
학생]일반자료실 1210
57.3%
학생]어린이신간(어린이자료실 203
 
9.6%
학생]이야기방(어린이자료실 157
 
7.4%
학생]청소년(일반자료실 151
 
7.1%
학생]초등교과관련(어린이자료실 148
 
7.0%
학생]불로작은도서관 74
 
3.5%
학생]어린이자료실 72
 
3.4%
학생]어린이만화(어린이자료실 55
 
2.6%
학생]어른을위한그림책(어린이자료실 11
 
0.5%
학생]만화(일반자료실 6
 
0.3%
Other values (10) 26
 
1.2%

서명
Text

Distinct1862
Distinct (%)88.1%
Missing0
Missing (%)0.0%
Memory size16.6 KiB
2024-04-21T10:14:01.050873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length119
Median length62
Mean length25.607194
Min length1

Characters and Unicode

Total characters54108
Distinct characters1126
Distinct categories15 ?
Distinct scripts5 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1636 ?
Unique (%)77.4%

Sample

1st row달쥐탐정의 거북마을 구출대작전
2nd row(히구치 유미코의) 연결 자수
3rd row미드저니 프롬프트 마스터 가이드
4th row랜드마크 범인 찾기 추리북
5th row병원 범인 찾기 추리북
ValueCountFrequency (%)
위한 95
 
0.7%
이야기 94
 
0.7%
장편소설 77
 
0.6%
2 70
 
0.5%
1 56
 
0.4%
내 52
 
0.4%
세계 52
 
0.4%
그림책 51
 
0.4%
역사 40
 
0.3%
우리 39
 
0.3%
Other values (7108) 12801
95.3%
2024-04-21T10:14:01.531020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12479
 
23.1%
의 1102
 
2.0%
이 947
 
1.8%
는 837
 
1.5%
기 595
 
1.1%
한 564
 
1.0%
, 538
 
1.0%
지 523
 
1.0%
사 500
 
0.9%
가 497
 
0.9%
Other values (1116) 35526
65.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 36616
67.7%
Space Separator 12479
 
23.1%
Lowercase Letter 1800
 
3.3%
Decimal Number 1177
 
2.2%
Other Punctuation 978
 
1.8%
Uppercase Letter 422
 
0.8%
Close Punctuation 282
 
0.5%
Open Punctuation 282
 
0.5%
Dash Punctuation 39
 
0.1%
Math Symbol 24
 
< 0.1%
Other values (5) 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 1102
 
3.0%
이 947
 
2.6%
는 837
 
2.3%
기 595
 
1.6%
한 564
 
1.5%
지 523
 
1.4%
사 500
 
1.4%
가 497
 
1.4%
리 476
 
1.3%
하 438
 
1.2%
Other values (1028) 30137
82.3%
Uppercase Letter
ValueCountFrequency (%)
A 50
11.8%
S 43
 
10.2%
T 40
 
9.5%
I 37
 
8.8%
P 30
 
7.1%
G 24
 
5.7%
C 23
 
5.5%
D 21
 
5.0%
M 17
 
4.0%
O 17
 
4.0%
Other values (16) 120
28.4%
Lowercase Letter
ValueCountFrequency (%)
o 186
 
10.3%
e 182
 
10.1%
a 152
 
8.4%
n 150
 
8.3%
i 144
 
8.0%
t 133
 
7.4%
r 107
 
5.9%
s 100
 
5.6%
h 75
 
4.2%
l 73
 
4.1%
Other values (15) 498
27.7%
Decimal Number
ValueCountFrequency (%)
1 278
23.6%
0 222
18.9%
2 220
18.7%
3 105
 
8.9%
4 92
 
7.8%
5 84
 
7.1%
6 67
 
5.7%
9 44
 
3.7%
7 35
 
3.0%
8 30
 
2.5%
Other Punctuation
ValueCountFrequency (%)
, 538
55.0%
. 315
32.2%
· 66
 
6.7%
' 40
 
4.1%
/ 8
 
0.8%
% 6
 
0.6%
& 5
 
0.5%
Math Symbol
ValueCountFrequency (%)
~ 13
54.2%
> 4
 
16.7%
< 4
 
16.7%
+ 2
 
8.3%
× 1
 
4.2%
Close Punctuation
ValueCountFrequency (%)
) 276
97.9%
』 4
 
1.4%
」 1
 
0.4%
》 1
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 276
97.9%
『 4
 
1.4%
「 1
 
0.4%
《 1
 
0.4%
Space Separator
ValueCountFrequency (%)
12479
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 3
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 3
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%
Other Symbol
ValueCountFrequency (%)
℃ 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 36564
67.6%
Common 15269
28.2%
Latin 2223
 
4.1%
Han 44
 
0.1%
Hiragana 8
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 1102
 
3.0%
이 947
 
2.6%
는 837
 
2.3%
기 595
 
1.6%
한 564
 
1.5%
지 523
 
1.4%
사 500
 
1.4%
가 497
 
1.4%
리 476
 
1.3%
하 438
 
1.2%
Other values (986) 30085
82.3%
Latin
ValueCountFrequency (%)
o 186
 
8.4%
e 182
 
8.2%
a 152
 
6.8%
n 150
 
6.7%
i 144
 
6.5%
t 133
 
6.0%
r 107
 
4.8%
s 100
 
4.5%
h 75
 
3.4%
l 73
 
3.3%
Other values (42) 921
41.4%
Common
ValueCountFrequency (%)
12479
81.7%
, 538
 
3.5%
. 315
 
2.1%
1 278
 
1.8%
) 276
 
1.8%
( 276
 
1.8%
0 222
 
1.5%
2 220
 
1.4%
3 105
 
0.7%
4 92
 
0.6%
Other values (26) 468
 
3.1%
Han
ValueCountFrequency (%)
災 4
 
9.1%
難 4
 
9.1%
月 4
 
9.1%
日 2
 
4.5%
亂 1
 
2.3%
中 1
 
2.3%
記 1
 
2.3%
想 1
 
2.3%
思 1
 
2.3%
史 1
 
2.3%
Other values (24) 24
54.5%
Hiragana
ValueCountFrequency (%)
お 1
12.5%
で 1
12.5%
む 1
12.5%
も 1
12.5%
し 1
12.5%
ろ 1
12.5%
い 1
12.5%
の 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 36549
67.5%
ASCII 17405
32.2%
None 79
 
0.1%
CJK 43
 
0.1%
Compat Jamo 15
 
< 0.1%
Hiragana 8
 
< 0.1%
Punctuation 6
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%
Number Forms 1
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12479
71.7%
, 538
 
3.1%
. 315
 
1.8%
1 278
 
1.6%
) 276
 
1.6%
( 276
 
1.6%
0 222
 
1.3%
2 220
 
1.3%
o 186
 
1.1%
e 182
 
1.0%
Other values (66) 2433
 
14.0%
Hangul
ValueCountFrequency (%)
의 1102
 
3.0%
이 947
 
2.6%
는 837
 
2.3%
기 595
 
1.6%
한 564
 
1.5%
지 523
 
1.4%
사 500
 
1.4%
가 497
 
1.4%
리 476
 
1.3%
하 438
 
1.2%
Other values (980) 30070
82.3%
None
ValueCountFrequency (%)
· 66
83.5%
『 4
 
5.1%
』 4
 
5.1%
「 1
 
1.3%
」 1
 
1.3%
《 1
 
1.3%
》 1
 
1.3%
× 1
 
1.3%
CJK
ValueCountFrequency (%)
災 4
 
9.3%
難 4
 
9.3%
月 4
 
9.3%
日 2
 
4.7%
中 1
 
2.3%
記 1
 
2.3%
想 1
 
2.3%
思 1
 
2.3%
史 1
 
2.3%
植 1
 
2.3%
Other values (23) 23
53.5%
Punctuation
ValueCountFrequency (%)
‘ 3
50.0%
’ 3
50.0%
Compat Jamo
ValueCountFrequency (%)
ㄷ 3
20.0%
ㄴ 3
20.0%
ㄱ 3
20.0%
ㅎ 2
13.3%
ㅇ 2
13.3%
ㅅ 2
13.3%
CJK Compat Ideographs
ValueCountFrequency (%)
亂 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%
Hiragana
ValueCountFrequency (%)
お 1
12.5%
で 1
12.5%
む 1
12.5%
も 1
12.5%
し 1
12.5%
ろ 1
12.5%
い 1
12.5%
の 1
12.5%

저자
Text

Distinct1762
Distinct (%)83.4%
Missing0
Missing (%)0.0%
Memory size16.6 KiB
2024-04-21T10:14:01.865883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length51
Mean length14.06531
Min length3

Characters and Unicode

Total characters29720
Distinct characters671
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1483 ?
Unique (%)70.2%

Sample

1st row인천 천마초등학교 생태동아리
2nd row히구치 유미코 지음 ; 남궁가윤 옮김
3rd row조남경 저
4th row조승연 그림
5th row전경 그림
ValueCountFrequency (%)
지음 1313
 
14.4%
1295
 
14.2%
옮김 579
 
6.4%
그림 523
 
5.7%
글 423
 
4.6%
글·그림 108
 
1.2%
공]지음 80
 
0.9%
원작 60
 
0.7%
공]글 40
 
0.4%
외 37
 
0.4%
Other values (3131) 4644
51.0%
2024-04-21T10:14:02.344247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6999
23.5%
지 1632
 
5.5%
음 1458
 
4.9%
; 1295
 
4.4%
김 1096
 
3.7%
이 682
 
2.3%
그 672
 
2.3%
림 653
 
2.2%
옮 600
 
2.0%
글 585
 
2.0%
Other values (661) 14048
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20249
68.1%
Space Separator 6999
 
23.5%
Other Punctuation 1681
 
5.7%
Open Punctuation 257
 
0.9%
Close Punctuation 257
 
0.9%
Lowercase Letter 176
 
0.6%
Uppercase Letter 90
 
0.3%
Decimal Number 6
 
< 0.1%
Dash Punctuation 3
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 1632
 
8.1%
음 1458
 
7.2%
김 1096
 
5.4%
이 682
 
3.4%
그 672
 
3.3%
림 653
 
3.2%
옮 600
 
3.0%
글 585
 
2.9%
정 339
 
1.7%
스 290
 
1.4%
Other values (599) 12242
60.5%
Lowercase Letter
ValueCountFrequency (%)
e 22
12.5%
o 16
 
9.1%
i 16
 
9.1%
a 14
 
8.0%
t 14
 
8.0%
l 12
 
6.8%
n 10
 
5.7%
y 9
 
5.1%
d 9
 
5.1%
c 9
 
5.1%
Other values (12) 45
25.6%
Uppercase Letter
ValueCountFrequency (%)
T 14
15.6%
S 9
10.0%
L 8
 
8.9%
V 7
 
7.8%
A 7
 
7.8%
M 7
 
7.8%
J 6
 
6.7%
H 4
 
4.4%
P 4
 
4.4%
B 4
 
4.4%
Other values (11) 20
22.2%
Other Punctuation
ValueCountFrequency (%)
; 1295
77.0%
, 214
 
12.7%
· 119
 
7.1%
. 39
 
2.3%
: 12
 
0.7%
@ 2
 
0.1%
Decimal Number
ValueCountFrequency (%)
7 2
33.3%
1 1
16.7%
9 1
16.7%
2 1
16.7%
3 1
16.7%
Open Punctuation
ValueCountFrequency (%)
[ 234
91.1%
( 23
 
8.9%
Close Punctuation
ValueCountFrequency (%)
] 234
91.1%
) 23
 
8.9%
Math Symbol
ValueCountFrequency (%)
< 1
50.0%
> 1
50.0%
Space Separator
ValueCountFrequency (%)
6999
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20249
68.1%
Common 9205
31.0%
Latin 266
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 1632
 
8.1%
음 1458
 
7.2%
김 1096
 
5.4%
이 682
 
3.4%
그 672
 
3.3%
림 653
 
3.2%
옮 600
 
3.0%
글 585
 
2.9%
정 339
 
1.7%
스 290
 
1.4%
Other values (599) 12242
60.5%
Latin
ValueCountFrequency (%)
e 22
 
8.3%
o 16
 
6.0%
i 16
 
6.0%
a 14
 
5.3%
t 14
 
5.3%
T 14
 
5.3%
l 12
 
4.5%
n 10
 
3.8%
y 9
 
3.4%
d 9
 
3.4%
Other values (33) 130
48.9%
Common
ValueCountFrequency (%)
6999
76.0%
; 1295
 
14.1%
[ 234
 
2.5%
] 234
 
2.5%
, 214
 
2.3%
· 119
 
1.3%
. 39
 
0.4%
( 23
 
0.2%
) 23
 
0.2%
: 12
 
0.1%
Other values (9) 13
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20249
68.1%
ASCII 9352
31.5%
None 119
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6999
74.8%
; 1295
 
13.8%
[ 234
 
2.5%
] 234
 
2.5%
, 214
 
2.3%
. 39
 
0.4%
( 23
 
0.2%
) 23
 
0.2%
e 22
 
0.2%
o 16
 
0.2%
Other values (51) 253
 
2.7%
Hangul
ValueCountFrequency (%)
지 1632
 
8.1%
음 1458
 
7.2%
김 1096
 
5.4%
이 682
 
3.4%
그 672
 
3.3%
림 653
 
3.2%
옮 600
 
3.0%
글 585
 
2.9%
정 339
 
1.7%
스 290
 
1.4%
Other values (599) 12242
60.5%
None
ValueCountFrequency (%)
· 119
100.0%

발행자
Text

Distinct951
Distinct (%)45.0%
Missing0
Missing (%)0.0%
Memory size16.6 KiB
2024-04-21T10:14:02.607264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length27
Mean length5.2224326
Min length1

Characters and Unicode

Total characters11035
Distinct characters571
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique562 ?
Unique (%)26.6%

Sample

1st row공감교육
2nd row한즈미디어
3rd row비엘북스
4th row계림북스
5th row계림북스
ValueCountFrequency (%)
주니어김영사 31
 
1.4%
아울북(북이십일 29
 
1.3%
시공주니어 26
 
1.2%
문학동네 26
 
1.2%
웅진주니어(웅진씽크빅 23
 
1.1%
김영사 21
 
1.0%
창비 21
 
1.0%
위즈덤하우스 19
 
0.9%
비룡소 19
 
0.9%
미래엔아이세움 18
 
0.8%
Other values (964) 1942
89.3%
2024-04-21T10:14:02.989414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 462
 
4.2%
북 426
 
3.9%
이 335
 
3.0%
) 285
 
2.6%
( 284
 
2.6%
사 258
 
2.3%
어 235
 
2.1%
아 182
 
1.6%
리 144
 
1.3%
니 142
 
1.3%
Other values (561) 8282
75.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9416
85.3%
Lowercase Letter 564
 
5.1%
Uppercase Letter 344
 
3.1%
Close Punctuation 285
 
2.6%
Open Punctuation 284
 
2.6%
Decimal Number 63
 
0.6%
Space Separator 62
 
0.6%
Other Punctuation 17
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 462
 
4.9%
북 426
 
4.5%
이 335
 
3.6%
사 258
 
2.7%
어 235
 
2.5%
아 182
 
1.9%
리 144
 
1.5%
니 142
 
1.5%
문 132
 
1.4%
주 120
 
1.3%
Other values (495) 6980
74.1%
Lowercase Letter
ValueCountFrequency (%)
o 85
15.1%
i 49
 
8.7%
a 48
 
8.5%
s 45
 
8.0%
e 44
 
7.8%
n 36
 
6.4%
k 35
 
6.2%
r 31
 
5.5%
d 29
 
5.1%
t 26
 
4.6%
Other values (15) 136
24.1%
Uppercase Letter
ValueCountFrequency (%)
B 54
15.7%
S 43
12.5%
O 39
11.3%
K 37
10.8%
E 23
 
6.7%
R 21
 
6.1%
H 16
 
4.7%
I 14
 
4.1%
P 13
 
3.8%
D 12
 
3.5%
Other values (14) 72
20.9%
Decimal Number
ValueCountFrequency (%)
1 27
42.9%
2 26
41.3%
0 3
 
4.8%
6 2
 
3.2%
5 1
 
1.6%
9 1
 
1.6%
8 1
 
1.6%
4 1
 
1.6%
7 1
 
1.6%
Other Punctuation
ValueCountFrequency (%)
& 9
52.9%
. 3
 
17.6%
? 2
 
11.8%
# 2
 
11.8%
% 1
 
5.9%
Close Punctuation
ValueCountFrequency (%)
) 285
100.0%
Open Punctuation
ValueCountFrequency (%)
( 284
100.0%
Space Separator
ValueCountFrequency (%)
62
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9399
85.2%
Latin 908
 
8.2%
Common 711
 
6.4%
Han 17
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 462
 
4.9%
북 426
 
4.5%
이 335
 
3.6%
사 258
 
2.7%
어 235
 
2.5%
아 182
 
1.9%
리 144
 
1.5%
니 142
 
1.5%
문 132
 
1.4%
주 120
 
1.3%
Other values (479) 6963
74.1%
Latin
ValueCountFrequency (%)
o 85
 
9.4%
B 54
 
5.9%
i 49
 
5.4%
a 48
 
5.3%
s 45
 
5.0%
e 44
 
4.8%
S 43
 
4.7%
O 39
 
4.3%
K 37
 
4.1%
n 36
 
4.0%
Other values (39) 428
47.1%
Common
ValueCountFrequency (%)
) 285
40.1%
( 284
39.9%
62
 
8.7%
1 27
 
3.8%
2 26
 
3.7%
& 9
 
1.3%
. 3
 
0.4%
0 3
 
0.4%
? 2
 
0.3%
6 2
 
0.3%
Other values (7) 8
 
1.1%
Han
ValueCountFrequency (%)
文 2
 
11.8%
學 1
 
5.9%
校 1
 
5.9%
民 1
 
5.9%
族 1
 
5.9%
化 1
 
5.9%
硏 1
 
5.9%
究 1
 
5.9%
院 1
 
5.9%
大 1
 
5.9%
Other values (6) 6
35.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9397
85.2%
ASCII 1619
 
14.7%
CJK 17
 
0.2%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 462
 
4.9%
북 426
 
4.5%
이 335
 
3.6%
사 258
 
2.7%
어 235
 
2.5%
아 182
 
1.9%
리 144
 
1.5%
니 142
 
1.5%
문 132
 
1.4%
주 120
 
1.3%
Other values (477) 6961
74.1%
ASCII
ValueCountFrequency (%)
) 285
17.6%
( 284
17.5%
o 85
 
5.3%
62
 
3.8%
B 54
 
3.3%
i 49
 
3.0%
a 48
 
3.0%
s 45
 
2.8%
e 44
 
2.7%
S 43
 
2.7%
Other values (56) 620
38.3%
CJK
ValueCountFrequency (%)
文 2
 
11.8%
學 1
 
5.9%
校 1
 
5.9%
民 1
 
5.9%
族 1
 
5.9%
化 1
 
5.9%
硏 1
 
5.9%
究 1
 
5.9%
院 1
 
5.9%
大 1
 
5.9%
Other values (6) 6
35.3%
Compat Jamo
ValueCountFrequency (%)
ㅎ 1
50.0%
ㅁ 1
50.0%

발행년
Real number (ℝ)

Distinct15
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2022.938
Minimum1995
Maximum2024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.7 KiB
2024-04-21T10:14:03.090437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1995
5-th percentile2022
Q12023
median2023
Q32023
95-th percentile2024
Maximum2024
Range29
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.3503083
Coefficient of variation (CV)0.00066749862
Kurtosis142.44905
Mean2022.938
Median Absolute Deviation (MAD)0
Skewness-9.4457605
Sum4274468
Variance1.8233326
MonotonicityNot monotonic
2024-04-21T10:14:03.182549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
2023 1333
63.1%
2024 460
 
21.8%
2022 234
 
11.1%
2021 49
 
2.3%
2020 14
 
0.7%
2015 4
 
0.2%
2019 4
 
0.2%
2017 3
 
0.1%
2009 2
 
0.1%
2013 2
 
0.1%
Other values (5) 8
 
0.4%
ValueCountFrequency (%)
1995 1
 
< 0.1%
2004 2
0.1%
2009 2
0.1%
2010 1
 
< 0.1%
2013 2
0.1%
2015 4
0.2%
2016 2
0.1%
2017 3
0.1%
2018 2
0.1%
2019 4
0.2%
ValueCountFrequency (%)
2024 460
 
21.8%
2023 1333
63.1%
2022 234
 
11.1%
2021 49
 
2.3%
2020 14
 
0.7%
2019 4
 
0.2%
2018 2
 
0.1%
2017 3
 
0.1%
2016 2
 
0.1%
2015 4
 
0.2%

가격
Real number (ℝ)

Distinct97
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17414.813
Minimum0
Maximum60000
Zeros12
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size18.7 KiB
2024-04-21T10:14:03.306319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12000
Q114000
median16800
Q319000
95-th percentile27000
Maximum60000
Range60000
Interquartile range (IQR)5000

Descriptive statistics

Standard deviation5268.1259
Coefficient of variation (CV)0.30250832
Kurtosis8.3145686
Mean17414.813
Median Absolute Deviation (MAD)2700
Skewness1.8251931
Sum36797500
Variance27753150
MonotonicityNot monotonic
2024-04-21T10:14:03.619836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15000 193
 
9.1%
18000 189
 
8.9%
13000 181
 
8.6%
14000 147
 
7.0%
17000 139
 
6.6%
16800 131
 
6.2%
16000 98
 
4.6%
20000 91
 
4.3%
22000 86
 
4.1%
12000 82
 
3.9%
Other values (87) 776
36.7%
ValueCountFrequency (%)
0 12
0.6%
5000 1
 
< 0.1%
6000 1
 
< 0.1%
6800 3
 
0.1%
7160 4
 
0.2%
7180 2
 
0.1%
8000 1
 
< 0.1%
8500 3
 
0.1%
8900 1
 
< 0.1%
9000 2
 
0.1%
ValueCountFrequency (%)
60000 1
 
< 0.1%
50000 2
0.1%
49000 1
 
< 0.1%
48000 3
0.1%
45000 1
 
< 0.1%
44000 2
0.1%
43000 1
 
< 0.1%
40000 3
0.1%
39000 2
0.1%
38000 4
0.2%

청구기호
Text

Distinct2086
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size16.6 KiB
2024-04-21T10:14:03.820971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length12.063417
Min length7

Characters and Unicode

Total characters25490
Distinct characters342
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2062 ?
Unique (%)97.6%

Sample

1st row813.8-인813ㄷ=2
2nd row636.5-히17ㅇ
3rd row004.73-조211ㅁ
4th rowJ 691-조58ㄹ
5th row691-전14ㅂ
ValueCountFrequency (%)
j 330
 
11.0%
mc 167
 
5.6%
청 151
 
5.0%
교(j 84
 
2.8%
교(mc 68
 
2.3%
불(j 52
 
1.7%
불 13
 
0.4%
불(mc 11
 
0.4%
불(청 4
 
0.1%
843-브231ㅇ 3
 
0.1%
Other values (2082) 2113
70.5%
2024-04-21T10:14:04.150925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2425
 
9.5%
3 2283
 
9.0%
1 2173
 
8.5%
8 2076
 
8.1%
2 1646
 
6.5%
. 1545
 
6.1%
9 1229
 
4.8%
5 1190
 
4.7%
7 1134
 
4.4%
4 1082
 
4.2%
Other values (332) 8707
34.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14349
56.3%
Other Letter 4508
 
17.7%
Dash Punctuation 2425
 
9.5%
Other Punctuation 1545
 
6.1%
Uppercase Letter 958
 
3.8%
Space Separator 883
 
3.5%
Math Symbol 379
 
1.5%
Close Punctuation 221
 
0.9%
Open Punctuation 221
 
0.9%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ㅇ 457
 
10.1%
ㅅ 254
 
5.6%
ㄱ 203
 
4.5%
김 203
 
4.5%
이 183
 
4.1%
청 158
 
3.5%
교 156
 
3.5%
ㄴ 152
 
3.4%
ㅈ 145
 
3.2%
ㅂ 132
 
2.9%
Other values (312) 2465
54.7%
Decimal Number
ValueCountFrequency (%)
3 2283
15.9%
1 2173
15.1%
8 2076
14.5%
2 1646
11.5%
9 1229
8.6%
5 1190
8.3%
7 1134
7.9%
4 1082
7.5%
6 879
 
6.1%
0 657
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
J 466
48.6%
C 246
25.7%
M 246
25.7%
Dash Punctuation
ValueCountFrequency (%)
- 2425
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1545
100.0%
Space Separator
ValueCountFrequency (%)
883
100.0%
Math Symbol
ValueCountFrequency (%)
= 379
100.0%
Close Punctuation
ValueCountFrequency (%)
) 221
100.0%
Open Punctuation
ValueCountFrequency (%)
( 221
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 20023
78.6%
Hangul 4508
 
17.7%
Latin 959
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
ㅇ 457
 
10.1%
ㅅ 254
 
5.6%
ㄱ 203
 
4.5%
김 203
 
4.5%
이 183
 
4.1%
청 158
 
3.5%
교 156
 
3.5%
ㄴ 152
 
3.4%
ㅈ 145
 
3.2%
ㅂ 132
 
2.9%
Other values (312) 2465
54.7%
Common
ValueCountFrequency (%)
- 2425
12.1%
3 2283
11.4%
1 2173
10.9%
8 2076
10.4%
2 1646
8.2%
. 1545
7.7%
9 1229
 
6.1%
5 1190
 
5.9%
7 1134
 
5.7%
4 1082
 
5.4%
Other values (6) 3240
16.2%
Latin
ValueCountFrequency (%)
J 466
48.6%
C 246
25.7%
M 246
25.7%
Ⅰ 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20981
82.3%
Hangul 2513
 
9.9%
Compat Jamo 1995
 
7.8%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2425
11.6%
3 2283
10.9%
1 2173
10.4%
8 2076
9.9%
2 1646
 
7.8%
. 1545
 
7.4%
9 1229
 
5.9%
5 1190
 
5.7%
7 1134
 
5.4%
4 1082
 
5.2%
Other values (9) 4198
20.0%
Compat Jamo
ValueCountFrequency (%)
ㅇ 457
22.9%
ㅅ 254
12.7%
ㄱ 203
10.2%
ㄴ 152
 
7.6%
ㅈ 145
 
7.3%
ㅂ 132
 
6.6%
ㄷ 122
 
6.1%
ㅁ 121
 
6.1%
ㅎ 102
 
5.1%
ㅊ 79
 
4.0%
Other values (9) 228
11.4%
Hangul
ValueCountFrequency (%)
김 203
 
8.1%
이 183
 
7.3%
청 158
 
6.3%
교 156
 
6.2%
박 110
 
4.4%
불 80
 
3.2%
정 70
 
2.8%
조 46
 
1.8%
최 42
 
1.7%
한 41
 
1.6%
Other values (293) 1424
56.7%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%

Interactions

2024-04-21T10:13:59.462157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:13:58.873850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:13:59.213300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:13:59.535434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:13:59.000198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:13:59.297150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:13:59.642313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:13:59.112402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:13:59.378608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T10:14:04.236479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호자료실발행년가격
번호1.0000.8280.1480.462
자료실0.8281.0000.0610.404
발행년0.1480.0611.0000.187
가격0.4620.4040.1871.000
2024-04-21T10:14:04.314980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호발행년가격자료실
번호1.0000.080-0.3450.420
발행년0.0801.0000.0880.014
가격-0.3450.0881.0000.138
자료실0.4200.0140.1381.000

Missing values

2024-04-21T10:13:59.774457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T10:13:59.892103image/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

번호등록번호자료실서명저자발행자발행년가격청구기호
01AAA000000001[학생]일반자료실달쥐탐정의 거북마을 구출대작전인천 천마초등학교 생태동아리공감교육202212000813.8-인813ㄷ=2
12BTF000476242[학생]일반자료실(히구치 유미코의) 연결 자수히구치 유미코 지음 ; 남궁가윤 옮김한즈미디어20220636.5-히17ㅇ
23BTF000476549[학생]일반자료실미드저니 프롬프트 마스터 가이드조남경 저비엘북스20240004.73-조211ㅁ
34BTF000476612[학생]어린이자료실랜드마크 범인 찾기 추리북조승연 그림계림북스20230J 691-조58ㄹ
45BTF000476613[학생]어린이자료실병원 범인 찾기 추리북전경 그림계림북스20230691-전14ㅂ
56BTF000477241[학생]일반자료실협동 농장의 겨울 요리법루이즈 글릭 지음 ; 정은귀 옮김시공사20230841-글239ㅎ
67BTF000477282[학생]일반자료실(셀프트래블)이탈리아Italy 믿고 보는 해외여행 가이드북송윤경 지음상상20240982.802-송67ㅇ
78BTF000477286[학생]일반자료실임진왜란, 조선엔 이순신이 있었다박시백 지음휴머니스트20230911.0553-박59ㅇ
89BTF000477292[학생]일반자료실(Just go)오사카OSAKA 교토·고베·나라·와카야마 2024-2025원경혜,박미희 [공]지음시공사20240981.32802-원14ㅇ
910BTF000477311[학생]일반자료실(프렌즈)파리오윤경 지음중앙books20230982.6302-오67ㅍ
번호등록번호자료실서명저자발행자발행년가격청구기호
21032104BUA000478158[학생]일반자료실싶싶한 하루 보내세요권민정 [외]지음인디펍202213000818-싶59
21042105BUA000478159[학생]일반자료실(절대 실패하지 않는)작은 학원 운영 백서 성공하는 학원은 이렇게 한다정영은 [외]지음시대인202419000325.1-작68
21052106BUA000478160[학생]일반자료실(정치 크리에이터 김성회의)옮은 소리 옮은 정치 유튜브 시대의 정치와 윤석열 정부 대해부김성회 지음비타베아타(메디치미디어)202316000340.911-김53ㅇ
21062107BUA000478161[학생]만화(일반자료실)(만화로 보는 토마 피케티의)자본과 이데올로기클레르 알레 글 ; 벤자민 아담 그림 ; 정수민 옮김한빛비즈202318500321.2-알233ㅈ
21072108BUA000478162[학생]일반자료실스페이스 M김유담 지음위즈덤하우스202413000813.7-김67ㅅ
21082109BUA000478163[학생]일반자료실오로라최진영 지음위즈덤하우스202413000813.7-최79ㅇ
21092110BUA000478164[학생]일반자료실질서의 지배자들임승빈 지음법문사202426000300.1-임58ㅈ
21102111BUA000478165[학생]일반자료실내면의 평화를 위한 요가 철학 레시피 완전한 명상으로 이끄는 요가 수업의 기술세이지 라운트리,알렉산드라 데시아토 [공]지음 ; 김지윤 옮김동글디자인202436000512.57-라67ㄴ
21112112BUA000478166[학생]청소년(일반자료실)나는 나를 지킵니다 휘둘리지 않고 서로의 경계를 지키는 법박진영 지음우리학교202414000청 189.2-박79ㄴ
21122113BUA000478167[학생]일반자료실미키7 반물질의 블루스에드워드 애슈턴 지음 ; 진서희 옮김황금가지202317000843.6-애57ㅁ