Overview

Dataset statistics

Number of variables10
Number of observations836
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory68.7 KiB
Average record size in memory84.2 B

Variable types

Numeric2
Text5
Categorical3

Dataset

Description부산광역시연제구_연제도서관신착도서현황_20200712
Author부산광역시 연제구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15048048

Alerts

도서입수구분 has constant value ""Constant
원부년도 has constant value ""Constant
번호 has unique valuesUnique
등록번호 has unique valuesUnique
청구기호 has unique valuesUnique

Reproduction

Analysis started2024-04-21 07:05:09.825404
Analysis finished2024-04-21 07:05:12.436687
Duration2.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct836
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean418.5
Minimum1
Maximum836
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2024-04-21T16:05:12.582263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile42.75
Q1209.75
median418.5
Q3627.25
95-th percentile794.25
Maximum836
Range835
Interquartile range (IQR)417.5

Descriptive statistics

Standard deviation241.47671
Coefficient of variation (CV)0.57700527
Kurtosis-1.2
Mean418.5
Median Absolute Deviation (MAD)209
Skewness0
Sum349866
Variance58311
MonotonicityStrictly increasing
2024-04-21T16:05:12.832279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
525 1
 
0.1%
553 1
 
0.1%
554 1
 
0.1%
555 1
 
0.1%
556 1
 
0.1%
557 1
 
0.1%
558 1
 
0.1%
559 1
 
0.1%
560 1
 
0.1%
Other values (826) 826
98.8%
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 (%)
836 1
0.1%
835 1
0.1%
834 1
0.1%
833 1
0.1%
832 1
0.1%
831 1
0.1%
830 1
0.1%
829 1
0.1%
828 1
0.1%
827 1
0.1%

등록번호
Text

UNIQUE 

Distinct836
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
2024-04-21T16:05:13.649546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters10032
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique836 ?
Unique (%)100.0%

Sample

1st rowABN000105612
2nd rowABN000105613
3rd rowABN000105614
4th rowABN000105615
5th rowABN000105616
ValueCountFrequency (%)
abn000105612 1
 
0.1%
abn000106134 1
 
0.1%
abn000106173 1
 
0.1%
abn000106163 1
 
0.1%
abn000106164 1
 
0.1%
abn000106165 1
 
0.1%
abn000106166 1
 
0.1%
abn000106167 1
 
0.1%
abn000106168 1
 
0.1%
abn000106169 1
 
0.1%
Other values (826) 826
98.8%
2024-04-21T16:05:14.683127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3607
36.0%
1 1107
 
11.0%
A 836
 
8.3%
B 836
 
8.3%
N 836
 
8.3%
6 700
 
7.0%
5 552
 
5.5%
2 274
 
2.7%
3 274
 
2.7%
7 264
 
2.6%
Other values (3) 746
 
7.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7524
75.0%
Uppercase Letter 2508
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3607
47.9%
1 1107
 
14.7%
6 700
 
9.3%
5 552
 
7.3%
2 274
 
3.6%
3 274
 
3.6%
7 264
 
3.5%
8 263
 
3.5%
9 263
 
3.5%
4 220
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
A 836
33.3%
B 836
33.3%
N 836
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common 7524
75.0%
Latin 2508
 
25.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3607
47.9%
1 1107
 
14.7%
6 700
 
9.3%
5 552
 
7.3%
2 274
 
3.6%
3 274
 
3.6%
7 264
 
3.5%
8 263
 
3.5%
9 263
 
3.5%
4 220
 
2.9%
Latin
ValueCountFrequency (%)
A 836
33.3%
B 836
33.3%
N 836
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10032
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3607
36.0%
1 1107
 
11.0%
A 836
 
8.3%
B 836
 
8.3%
N 836
 
8.3%
6 700
 
7.0%
5 552
 
5.5%
2 274
 
2.7%
3 274
 
2.7%
7 264
 
2.6%
Other values (3) 746
 
7.4%

서명
Text

Distinct834
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
2024-04-21T16:05:15.853133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length103
Median length64
Mean length21.873206
Min length1

Characters and Unicode

Total characters18286
Distinct characters930
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique832 ?
Unique (%)99.5%

Sample

1st row(구글 애널리틱스를 활용한)디지털 마케팅 : 쉽게 풀어 쓴 구글 마케팅 가이드
2nd row구글맵 혁명 : 현실과 상상의 모든 공간을 손안에 담는 지도기술
3rd row그 메일은 열지 마세요 : 해킹사회, 연결된 모든 것을 의심하라
4th row도서관 생태 마을에 삽니다
5th row디지털 리터러시 교실=Digital literacy classroom : 아이들의 미래를 바꾸는 교육의 시작
ValueCountFrequency (%)
343
 
7.1%
위한 33
 
0.7%
내 26
 
0.5%
이야기 24
 
0.5%
2 18
 
0.4%
우리 15
 
0.3%
1 15
 
0.3%
한 14
 
0.3%
법 13
 
0.3%
어떻게 13
 
0.3%
Other values (3205) 4328
89.4%
2024-04-21T16:05:17.316082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4006
 
21.9%
의 405
 
2.2%
: 343
 
1.9%
이 330
 
1.8%
는 287
 
1.6%
다 214
 
1.2%
기 196
 
1.1%
가 181
 
1.0%
을 176
 
1.0%
한 175
 
1.0%
Other values (920) 11973
65.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12418
67.9%
Space Separator 4006
 
21.9%
Lowercase Letter 652
 
3.6%
Other Punctuation 624
 
3.4%
Decimal Number 278
 
1.5%
Uppercase Letter 112
 
0.6%
Open Punctuation 75
 
0.4%
Close Punctuation 75
 
0.4%
Math Symbol 38
 
0.2%
Dash Punctuation 5
 
< 0.1%
Other values (3) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 405
 
3.3%
이 330
 
2.7%
는 287
 
2.3%
다 214
 
1.7%
기 196
 
1.6%
가 181
 
1.5%
을 176
 
1.4%
한 175
 
1.4%
리 166
 
1.3%
하 163
 
1.3%
Other values (835) 10125
81.5%
Lowercase Letter
ValueCountFrequency (%)
e 79
12.1%
i 58
 
8.9%
o 55
 
8.4%
n 52
 
8.0%
a 49
 
7.5%
r 47
 
7.2%
s 47
 
7.2%
t 39
 
6.0%
l 30
 
4.6%
d 25
 
3.8%
Other values (14) 171
26.2%
Uppercase Letter
ValueCountFrequency (%)
S 18
16.1%
O 11
 
9.8%
D 8
 
7.1%
P 7
 
6.2%
N 7
 
6.2%
T 7
 
6.2%
I 7
 
6.2%
A 7
 
6.2%
C 6
 
5.4%
K 6
 
5.4%
Other values (12) 28
25.0%
Other Punctuation
ValueCountFrequency (%)
: 343
55.0%
, 124
 
19.9%
. 72
 
11.5%
? 21
 
3.4%
! 20
 
3.2%
' 19
 
3.0%
· 12
 
1.9%
＆ 5
 
0.8%
" 4
 
0.6%
… 1
 
0.2%
Other values (3) 3
 
0.5%
Decimal Number
ValueCountFrequency (%)
1 75
27.0%
0 54
19.4%
2 54
19.4%
3 31
11.2%
4 15
 
5.4%
5 12
 
4.3%
9 11
 
4.0%
7 9
 
3.2%
6 9
 
3.2%
8 8
 
2.9%
Open Punctuation
ValueCountFrequency (%)
( 71
94.7%
『 2
 
2.7%
「 1
 
1.3%
《 1
 
1.3%
Close Punctuation
ValueCountFrequency (%)
) 71
94.7%
』 2
 
2.7%
」 1
 
1.3%
》 1
 
1.3%
Math Symbol
ValueCountFrequency (%)
= 32
84.2%
> 3
 
7.9%
< 3
 
7.9%
Space Separator
ValueCountFrequency (%)
4006
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
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 12340
67.5%
Common 5103
27.9%
Latin 765
 
4.2%
Han 78
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 405
 
3.3%
이 330
 
2.7%
는 287
 
2.3%
다 214
 
1.7%
기 196
 
1.6%
가 181
 
1.5%
을 176
 
1.4%
한 175
 
1.4%
리 166
 
1.3%
하 163
 
1.3%
Other values (788) 10047
81.4%
Latin
ValueCountFrequency (%)
e 79
 
10.3%
i 58
 
7.6%
o 55
 
7.2%
n 52
 
6.8%
a 49
 
6.4%
r 47
 
6.1%
s 47
 
6.1%
t 39
 
5.1%
l 30
 
3.9%
d 25
 
3.3%
Other values (37) 284
37.1%
Han
ValueCountFrequency (%)
敗 8
 
10.3%
聖 8
 
10.3%
劍 8
 
10.3%
不 8
 
10.3%
詩 4
 
5.1%
漢 1
 
1.3%
訓 1
 
1.3%
史 1
 
1.3%
東 1
 
1.3%
紀 1
 
1.3%
Other values (37) 37
47.4%
Common
ValueCountFrequency (%)
4006
78.5%
: 343
 
6.7%
, 124
 
2.4%
1 75
 
1.5%
. 72
 
1.4%
( 71
 
1.4%
) 71
 
1.4%
0 54
 
1.1%
2 54
 
1.1%
= 32
 
0.6%
Other values (28) 201
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12340
67.5%
ASCII 5838
31.9%
CJK 69
 
0.4%
None 27
 
0.1%
CJK Compat Ideographs 9
 
< 0.1%
Number Forms 1
 
< 0.1%
Punctuation 1
 
< 0.1%
Geometric Shapes 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4006
68.6%
: 343
 
5.9%
, 124
 
2.1%
e 79
 
1.4%
1 75
 
1.3%
. 72
 
1.2%
( 71
 
1.2%
) 71
 
1.2%
i 58
 
1.0%
o 55
 
0.9%
Other values (62) 884
 
15.1%
Hangul
ValueCountFrequency (%)
의 405
 
3.3%
이 330
 
2.7%
는 287
 
2.3%
다 214
 
1.7%
기 196
 
1.6%
가 181
 
1.5%
을 176
 
1.4%
한 175
 
1.4%
리 166
 
1.3%
하 163
 
1.3%
Other values (788) 10047
81.4%
None
ValueCountFrequency (%)
· 12
44.4%
＆ 5
18.5%
『 2
 
7.4%
』 2
 
7.4%
」 1
 
3.7%
「 1
 
3.7%
／ 1
 
3.7%
》 1
 
3.7%
《 1
 
3.7%
％ 1
 
3.7%
CJK
ValueCountFrequency (%)
敗 8
 
11.6%
聖 8
 
11.6%
劍 8
 
11.6%
詩 4
 
5.8%
漢 1
 
1.4%
訓 1
 
1.4%
史 1
 
1.4%
東 1
 
1.4%
紀 1
 
1.4%
思 1
 
1.4%
Other values (35) 35
50.7%
CJK Compat Ideographs
ValueCountFrequency (%)
不 8
88.9%
歷 1
 
11.1%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%
Punctuation
ValueCountFrequency (%)
… 1
100.0%
Geometric Shapes
ValueCountFrequency (%)
□ 1
100.0%

저자
Text

Distinct781
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
2024-04-21T16:05:18.281084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length53
Mean length11.241627
Min length3

Characters and Unicode

Total characters9398
Distinct characters498
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique739 ?
Unique (%)88.4%

Sample

1st row이태열 저
2nd row빌 킬데이 지음 ; 김현정 옮김
3rd row찰스 아서 지음 ; 유현재,김지연 [공]옮김
4th row양시모,김용안 [공]지음 ; 김세진 그림
5th row박일준,김묘은 지음
ValueCountFrequency (%)
지음 705
24.3%
300
 
10.3%
옮김 205
 
7.1%
공]지음 40
 
1.4%
외 35
 
1.2%
그림 29
 
1.0%
글·그림 21
 
0.7%
글 20
 
0.7%
저 17
 
0.6%
일러스트 14
 
0.5%
Other values (1280) 1519
52.3%
2024-04-21T16:05:19.720206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2069
22.0%
지 810
 
8.6%
음 764
 
8.1%
김 393
 
4.2%
; 300
 
3.2%
옮 216
 
2.3%
이 186
 
2.0%
정 116
 
1.2%
스 108
 
1.1%
영 83
 
0.9%
Other values (488) 4353
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6755
71.9%
Space Separator 2069
 
22.0%
Other Punctuation 409
 
4.4%
Open Punctuation 59
 
0.6%
Close Punctuation 59
 
0.6%
Uppercase Letter 29
 
0.3%
Lowercase Letter 9
 
0.1%
Math Symbol 4
 
< 0.1%
Decimal Number 4
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 810
 
12.0%
음 764
 
11.3%
김 393
 
5.8%
옮 216
 
3.2%
이 186
 
2.8%
정 116
 
1.7%
스 108
 
1.6%
영 83
 
1.2%
리 77
 
1.1%
박 77
 
1.1%
Other values (453) 3925
58.1%
Uppercase Letter
ValueCountFrequency (%)
B 4
13.8%
S 4
13.8%
T 4
13.8%
J 3
10.3%
V 3
10.3%
M 2
6.9%
C 2
6.9%
G 1
 
3.4%
L 1
 
3.4%
W 1
 
3.4%
Other values (4) 4
13.8%
Lowercase Letter
ValueCountFrequency (%)
i 2
22.2%
e 2
22.2%
c 1
11.1%
l 1
11.1%
n 1
11.1%
a 1
11.1%
o 1
11.1%
Other Punctuation
ValueCountFrequency (%)
; 300
73.3%
, 68
 
16.6%
· 31
 
7.6%
. 10
 
2.4%
Decimal Number
ValueCountFrequency (%)
2 1
25.0%
4 1
25.0%
1 1
25.0%
6 1
25.0%
Math Symbol
ValueCountFrequency (%)
< 2
50.0%
> 2
50.0%
Space Separator
ValueCountFrequency (%)
2069
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 59
100.0%
Close Punctuation
ValueCountFrequency (%)
] 59
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6737
71.7%
Common 2605
 
27.7%
Latin 38
 
0.4%
Han 18
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 810
 
12.0%
음 764
 
11.3%
김 393
 
5.8%
옮 216
 
3.2%
이 186
 
2.8%
정 116
 
1.7%
스 108
 
1.6%
영 83
 
1.2%
리 77
 
1.1%
박 77
 
1.1%
Other values (440) 3907
58.0%
Latin
ValueCountFrequency (%)
B 4
 
10.5%
S 4
 
10.5%
T 4
 
10.5%
J 3
 
7.9%
V 3
 
7.9%
M 2
 
5.3%
C 2
 
5.3%
i 2
 
5.3%
e 2
 
5.3%
G 1
 
2.6%
Other values (11) 11
28.9%
Common
ValueCountFrequency (%)
2069
79.4%
; 300
 
11.5%
, 68
 
2.6%
[ 59
 
2.3%
] 59
 
2.3%
· 31
 
1.2%
. 10
 
0.4%
< 2
 
0.1%
> 2
 
0.1%
2 1
 
< 0.1%
Other values (4) 4
 
0.2%
Han
ValueCountFrequency (%)
金 2
11.1%
譯 2
11.1%
佛 2
11.1%
彌 2
11.1%
勒 2
11.1%
敬 1
 
5.6%
子 1
 
5.6%
鎭 1
 
5.6%
雄 1
 
5.6%
袁 1
 
5.6%
Other values (3) 3
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6737
71.7%
ASCII 2612
 
27.8%
None 31
 
0.3%
CJK 18
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2069
79.2%
; 300
 
11.5%
, 68
 
2.6%
[ 59
 
2.3%
] 59
 
2.3%
. 10
 
0.4%
B 4
 
0.2%
S 4
 
0.2%
T 4
 
0.2%
J 3
 
0.1%
Other values (24) 32
 
1.2%
Hangul
ValueCountFrequency (%)
지 810
 
12.0%
음 764
 
11.3%
김 393
 
5.8%
옮 216
 
3.2%
이 186
 
2.8%
정 116
 
1.7%
스 108
 
1.6%
영 83
 
1.2%
리 77
 
1.1%
박 77
 
1.1%
Other values (440) 3907
58.0%
None
ValueCountFrequency (%)
· 31
100.0%
CJK
ValueCountFrequency (%)
金 2
11.1%
譯 2
11.1%
佛 2
11.1%
彌 2
11.1%
勒 2
11.1%
敬 1
 
5.6%
子 1
 
5.6%
鎭 1
 
5.6%
雄 1
 
5.6%
袁 1
 
5.6%
Other values (3) 3
16.7%

발행자
Text

Distinct334
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
2024-04-21T16:05:20.580538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7
Mean length3.9677033
Min length1

Characters and Unicode

Total characters3317
Distinct characters362
Distinct categories5 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique210 ?
Unique (%)25.1%

Sample

1st row디지털북스
2nd row김영사
3rd row미래의창
4th row학교도서관저널
5th row북스토리
ValueCountFrequency (%)
세종출판사 47
 
5.6%
작가마을 37
 
4.4%
전망 36
 
4.3%
산지니 29
 
3.5%
해암 21
 
2.5%
책펴냄열린시 21
 
2.5%
유엑스리뷰 19
 
2.3%
두손컴 17
 
2.0%
청옥 14
 
1.7%
문학동네 10
 
1.2%
Other values (324) 585
70.0%
2024-04-21T16:05:21.893265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 137
 
4.1%
스 107
 
3.2%
판 79
 
2.4%
출 78
 
2.4%
리 76
 
2.3%
문 61
 
1.8%
세 58
 
1.7%
북 57
 
1.7%
지 57
 
1.7%
마 55
 
1.7%
Other values (352) 2552
76.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3251
98.0%
Decimal Number 28
 
0.8%
Lowercase Letter 24
 
0.7%
Uppercase Letter 13
 
0.4%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 137
 
4.2%
스 107
 
3.3%
판 79
 
2.4%
출 78
 
2.4%
리 76
 
2.3%
문 61
 
1.9%
세 58
 
1.8%
북 57
 
1.8%
지 57
 
1.8%
마 55
 
1.7%
Other values (331) 2486
76.5%
Lowercase Letter
ValueCountFrequency (%)
o 5
20.8%
i 3
12.5%
r 2
 
8.3%
g 2
 
8.3%
k 2
 
8.3%
s 2
 
8.3%
b 2
 
8.3%
z 1
 
4.2%
n 1
 
4.2%
e 1
 
4.2%
Other values (3) 3
12.5%
Uppercase Letter
ValueCountFrequency (%)
M 5
38.5%
B 5
38.5%
S 1
 
7.7%
J 1
 
7.7%
L 1
 
7.7%
Decimal Number
ValueCountFrequency (%)
2 14
50.0%
1 14
50.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3241
97.7%
Latin 37
 
1.1%
Common 29
 
0.9%
Han 10
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 137
 
4.2%
스 107
 
3.3%
판 79
 
2.4%
출 78
 
2.4%
리 76
 
2.3%
문 61
 
1.9%
세 58
 
1.8%
북 57
 
1.8%
지 57
 
1.8%
마 55
 
1.7%
Other values (326) 2476
76.4%
Latin
ValueCountFrequency (%)
M 5
13.5%
B 5
13.5%
o 5
13.5%
i 3
 
8.1%
r 2
 
5.4%
g 2
 
5.4%
k 2
 
5.4%
s 2
 
5.4%
b 2
 
5.4%
z 1
 
2.7%
Other values (8) 8
21.6%
Han
ValueCountFrequency (%)
社 2
20.0%
版 2
20.0%
出 2
20.0%
阿 2
20.0%
那 2
20.0%
Common
ValueCountFrequency (%)
2 14
48.3%
1 14
48.3%
. 1
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3241
97.7%
ASCII 66
 
2.0%
CJK 10
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 137
 
4.2%
스 107
 
3.3%
판 79
 
2.4%
출 78
 
2.4%
리 76
 
2.3%
문 61
 
1.9%
세 58
 
1.8%
북 57
 
1.8%
지 57
 
1.8%
마 55
 
1.7%
Other values (326) 2476
76.4%
ASCII
ValueCountFrequency (%)
2 14
21.2%
1 14
21.2%
M 5
 
7.6%
B 5
 
7.6%
o 5
 
7.6%
i 3
 
4.5%
r 2
 
3.0%
g 2
 
3.0%
k 2
 
3.0%
s 2
 
3.0%
Other values (11) 12
18.2%
CJK
ValueCountFrequency (%)
社 2
20.0%
版 2
20.0%
出 2
20.0%
阿 2
20.0%
那 2
20.0%

발행년
Categorical

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
2020
511 
2019
159 
2018
108 
2017
 
50
2015
 
8

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020
2nd row2020
3rd row2020
4th row2020
5th row2020

Common Values

ValueCountFrequency (%)
2020 511
61.1%
2019 159
 
19.0%
2018 108
 
12.9%
2017 50
 
6.0%
2015 8
 
1.0%

Length

2024-04-21T16:05:22.124460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:05:22.342218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020 511
61.1%
2019 159
 
19.0%
2018 108
 
12.9%
2017 50
 
6.0%
2015 8
 
1.0%

청구기호
Text

UNIQUE 

Distinct836
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
2024-04-21T16:05:23.327362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length9.3492823
Min length5

Characters and Unicode

Total characters7816
Distinct characters24
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique836 ?
Unique (%)100.0%

Sample

1st row325.555-86
2nd row325.1-319=2
3rd row364.291-2
4th row026.3-4
5th row373.33-5
ValueCountFrequency (%)
mom 17
 
2.0%
큰글자 8
 
0.9%
아동 2
 
0.2%
시니어 2
 
0.2%
325.555-86 1
 
0.1%
811.7-1116 1
 
0.1%
813.7-2360 1
 
0.1%
811.7-1111 1
 
0.1%
814.7-850 1
 
0.1%
813.7-2361 1
 
0.1%
Other values (830) 830
96.0%
2024-04-21T16:05:24.573159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1448
18.5%
- 925
11.8%
8 863
11.0%
3 689
8.8%
. 659
8.4%
2 652
8.3%
7 535
 
6.8%
4 414
 
5.3%
5 412
 
5.3%
9 352
 
4.5%
Other values (14) 867
11.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6033
77.2%
Dash Punctuation 925
 
11.8%
Other Punctuation 659
 
8.4%
Math Symbol 85
 
1.1%
Uppercase Letter 51
 
0.7%
Other Letter 34
 
0.4%
Space Separator 29
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1448
24.0%
8 863
14.3%
3 689
11.4%
2 652
10.8%
7 535
 
8.9%
4 414
 
6.9%
5 412
 
6.8%
9 352
 
5.8%
0 348
 
5.8%
6 320
 
5.3%
Other Letter
ValueCountFrequency (%)
큰 8
23.5%
글 8
23.5%
자 8
23.5%
아 2
 
5.9%
동 2
 
5.9%
시 2
 
5.9%
니 2
 
5.9%
어 2
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
M 34
66.7%
O 17
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 925
100.0%
Other Punctuation
ValueCountFrequency (%)
. 659
100.0%
Math Symbol
ValueCountFrequency (%)
= 85
100.0%
Space Separator
ValueCountFrequency (%)
29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7731
98.9%
Latin 51
 
0.7%
Hangul 34
 
0.4%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1448
18.7%
- 925
12.0%
8 863
11.2%
3 689
8.9%
. 659
8.5%
2 652
8.4%
7 535
 
6.9%
4 414
 
5.4%
5 412
 
5.3%
9 352
 
4.6%
Other values (4) 782
10.1%
Hangul
ValueCountFrequency (%)
큰 8
23.5%
글 8
23.5%
자 8
23.5%
아 2
 
5.9%
동 2
 
5.9%
시 2
 
5.9%
니 2
 
5.9%
어 2
 
5.9%
Latin
ValueCountFrequency (%)
M 34
66.7%
O 17
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7782
99.6%
Hangul 34
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1448
18.6%
- 925
11.9%
8 863
11.1%
3 689
8.9%
. 659
8.5%
2 652
8.4%
7 535
 
6.9%
4 414
 
5.3%
5 412
 
5.3%
9 352
 
4.5%
Other values (6) 833
10.7%
Hangul
ValueCountFrequency (%)
큰 8
23.5%
글 8
23.5%
자 8
23.5%
아 2
 
5.9%
동 2
 
5.9%
시 2
 
5.9%
니 2
 
5.9%
어 2
 
5.9%

도서입수구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
구입
836 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
구입 836
100.0%

Length

2024-04-21T16:05:24.801780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:05:24.984461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
구입 836
100.0%

원부년도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
2020
836 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020
2nd row2020
3rd row2020
4th row2020
5th row2020

Common Values

ValueCountFrequency (%)
2020 836
100.0%

Length

2024-04-21T16:05:25.156236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:05:25.336730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020 836
100.0%

가격
Real number (ℝ)

Distinct64
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15028.469
Minimum3000
Maximum90000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2024-04-21T16:05:25.561580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000
5-th percentile10000
Q112000
median14000
Q316000
95-th percentile25000
Maximum90000
Range87000
Interquartile range (IQR)4000

Descriptive statistics

Standard deviation5994.3189
Coefficient of variation (CV)0.39886425
Kurtosis47.402815
Mean15028.469
Median Absolute Deviation (MAD)2000
Skewness4.9398527
Sum12563800
Variance35931859
MonotonicityNot monotonic
2024-04-21T16:05:25.811129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10000 132
15.8%
15000 131
15.7%
12000 69
 
8.3%
13000 61
 
7.3%
14000 57
 
6.8%
16000 36
 
4.3%
13800 31
 
3.7%
18000 28
 
3.3%
20000 27
 
3.2%
14800 22
 
2.6%
Other values (54) 242
28.9%
ValueCountFrequency (%)
3000 1
 
0.1%
5500 1
 
0.1%
7000 3
 
0.4%
8000 7
 
0.8%
8500 2
 
0.2%
9000 14
 
1.7%
9800 3
 
0.4%
10000 132
15.8%
10900 1
 
0.1%
11000 13
 
1.6%
ValueCountFrequency (%)
90000 1
 
0.1%
80000 1
 
0.1%
45000 1
 
0.1%
43000 1
 
0.1%
41000 1
 
0.1%
38000 1
 
0.1%
37000 1
 
0.1%
35000 7
0.8%
32000 1
 
0.1%
30000 3
0.4%

Interactions

2024-04-21T16:05:11.658831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T16:05:11.313155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T16:05:11.819185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T16:05:11.479130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T16:05:25.967038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호발행년가격
번호1.0000.7420.403
발행년0.7421.0000.314
가격0.4030.3141.000
2024-04-21T16:05:26.127635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호가격발행년
번호1.000-0.3400.399
가격-0.3401.0000.207
발행년0.3990.2071.000

Missing values

2024-04-21T16:05:12.027958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T16:05:12.319852image/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

번호등록번호서명저자발행자발행년청구기호도서입수구분원부년도가격
01ABN000105612(구글 애널리틱스를 활용한)디지털 마케팅 : 쉽게 풀어 쓴 구글 마케팅 가이드이태열 저디지털북스2020325.555-86구입202015000
12ABN000105613구글맵 혁명 : 현실과 상상의 모든 공간을 손안에 담는 지도기술빌 킬데이 지음 ; 김현정 옮김김영사2020325.1-319=2구입202018000
23ABN000105614그 메일은 열지 마세요 : 해킹사회, 연결된 모든 것을 의심하라찰스 아서 지음 ; 유현재,김지연 [공]옮김미래의창2020364.291-2구입202017000
34ABN000105615도서관 생태 마을에 삽니다양시모,김용안 [공]지음 ; 김세진 그림학교도서관저널2020026.3-4구입202016000
45ABN000105616디지털 리터러시 교실=Digital literacy classroom : 아이들의 미래를 바꾸는 교육의 시작박일준,김묘은 지음북스토리2020373.33-5구입202020000
56ABN000105617때론 대충 살고 가끔은 완벽하게 살아 : 읽고 쓰고 만나는 책방지기의 문장일기구선아 지음 ; 임진아 그림해의시간2020818-1594구입202013500
67ABN000105618똑똑한 이상한 꿈틀대는 뉴미디어주형일 지음우리학교2020331.65-17구입202014000
78ABN000105619어느 노 언론인의 작문노트 : 마음에 명중하는 문장의 비밀다쓰노 가즈오 지음 ; 윤은혜 옮김지식노마드2020802-220구입202014500
89ABN000105620(생각하여 아는 작용)오늘 지식최미진 외 지음좋은땅2020001-21구입20208500
910ABN000105621이상하고 자유로운 할머니가 되고 싶어 : 무루의 어른을 위한 그림책 읽기무루 지음 ; 서수연 일러스트어크로스2020818-1595구입202014000
번호등록번호서명저자발행자발행년청구기호도서입수구분원부년도가격
826827ABN000106438남상기 역사 칼럼. Ⅲ, 다시보는 근현대사남상기 저연문씨앤피2020911-211-3구입202020000
827828ABN000106439러시아에서 분단을 만났습니다 : '충성의 외화벌이'라 불리는 북한노동자강동완 글·사진 ; 권보미 일러스트너나드리2019340.9111-5구입202029000
828829ABN000106440버킷리스트여행신창선 지음전망2018814.7-894구입202013000
829830ABN000106441부산의 해녀 : 자연을 건지다 삶을 보듬다김대갑 외 글부산문화재단2019380.91189-1-6구입202013800
830831ABN000106442(의열지사)박재혁 평전김삼웅 지음호밀밭2019991.1-46=2구입202018000
831832ABN000106443이야기로 돌아보는 유럽여행 : 스페인남태우 지음해성2019816.7-336구입202020000
832833ABN000106444정전(正戰)과 내전 : 카를 슈미트의 국제질서사상오오타케 코지 지음 ; 윤인로 옮김산지니2020340.1-65구입202035000
833834ABN000106445海東에 인술을 피우다 : 조평래 평전박창희 지음미디어줌2019510.99-4=2구입202015000
834835ABN000106446통일의 눈으로 서울을 다시 보다. 정동·광화문편강동완,전병길 [공]지음너나드리2020340.911-112-4구입202021000
835836ABN000106447訓蒙齋 깊은 밤 有所思를 읊노라 : 祖上의 발자취 찾아 떠난 歷史紀行金鎭雄 著다솜출판사2018816.7-337구입202025000