Overview

Dataset statistics

Number of variables7
Number of observations3230
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory176.8 KiB
Average record size in memory56.0 B

Variable types

Text4
DateTime2
Categorical1

Dataset

Description신착도서현황 데이터는 다양한 분야의 신간도서 목록을 제공함으로써 북구 지역주민들의 지적 욕구 충족 및 문화활동 지원을 위해 부산광역시 북구구립도서관(만덕, 화명, 금곡)에 배가된 신착도서 목록입니다.
Author부산광역시 북구
URLhttps://www.data.go.kr/data/15118177/fileData.do

Alerts

기준일자 has constant value ""Constant

Reproduction

Analysis started2024-04-21 02:26:33.269310
Analysis finished2024-04-21 02:26:35.674141
Duration2.4 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

도서명
Text

Distinct2876
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Memory size25.4 KiB
2024-04-21T11:26:35.893317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length50
Mean length18.56935
Min length1

Characters and Unicode

Total characters59979
Distinct characters1149
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2580 ?
Unique (%)79.9%

Sample

1st row존재양식의 탐구 : 근대인의 인류학
2nd row마음은 어떻게 기계가 되었나
3rd row챗GPT 실전 활용 보고서
4th row하라고 하면 하지 않는 아이가 된다
5th rowSKY 로드맵
ValueCountFrequency (%)
835
 
5.2%
이야기 83
 
0.5%
위한 79
 
0.5%
2 75
 
0.5%
할 73
 
0.5%
t'choupi 70
 
0.4%
나는 68
 
0.4%
tchoupi 62
 
0.4%
수학 60
 
0.4%
내 59
 
0.4%
Other values (7290) 14711
90.9%
2024-04-21T11:26:36.344844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12945
 
21.6%
의 1167
 
1.9%
이 1082
 
1.8%
는 955
 
1.6%
: 830
 
1.4%
, 654
 
1.1%
기 638
 
1.1%
다 578
 
1.0%
가 555
 
0.9%
지 553
 
0.9%
Other values (1139) 40022
66.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38842
64.8%
Space Separator 12945
 
21.6%
Lowercase Letter 3104
 
5.2%
Other Punctuation 2406
 
4.0%
Decimal Number 1389
 
2.3%
Uppercase Letter 516
 
0.9%
Open Punctuation 360
 
0.6%
Close Punctuation 360
 
0.6%
Dash Punctuation 29
 
< 0.1%
Math Symbol 22
 
< 0.1%
Other values (2) 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 1167
 
3.0%
이 1082
 
2.8%
는 955
 
2.5%
기 638
 
1.6%
다 578
 
1.5%
가 555
 
1.4%
지 553
 
1.4%
한 508
 
1.3%
사 504
 
1.3%
하 490
 
1.3%
Other values (1045) 31812
81.9%
Uppercase Letter
ValueCountFrequency (%)
T 174
33.7%
D 32
 
6.2%
G 32
 
6.2%
I 30
 
5.8%
P 29
 
5.6%
F 29
 
5.6%
A 23
 
4.5%
W 22
 
4.3%
B 21
 
4.1%
S 18
 
3.5%
Other values (16) 106
20.5%
Lowercase Letter
ValueCountFrequency (%)
i 313
 
10.1%
o 310
 
10.0%
h 242
 
7.8%
e 241
 
7.8%
p 210
 
6.8%
t 190
 
6.1%
a 190
 
6.1%
u 189
 
6.1%
s 180
 
5.8%
c 179
 
5.8%
Other values (15) 860
27.7%
Other Punctuation
ValueCountFrequency (%)
: 830
34.5%
, 654
27.2%
. 480
20.0%
! 176
 
7.3%
' 106
 
4.4%
? 95
 
3.9%
· 47
 
2.0%
% 5
 
0.2%
& 4
 
0.2%
％ 3
 
0.1%
Other values (5) 6
 
0.2%
Decimal Number
ValueCountFrequency (%)
1 309
22.2%
2 285
20.5%
0 220
15.8%
3 139
10.0%
4 114
 
8.2%
5 104
 
7.5%
6 71
 
5.1%
7 57
 
4.1%
9 53
 
3.8%
8 37
 
2.7%
Math Symbol
ValueCountFrequency (%)
~ 13
59.1%
= 4
 
18.2%
＋ 2
 
9.1%
> 1
 
4.5%
< 1
 
4.5%
× 1
 
4.5%
Open Punctuation
ValueCountFrequency (%)
( 332
92.2%
[ 26
 
7.2%
〈 1
 
0.3%
『 1
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 332
92.2%
] 26
 
7.2%
〉 1
 
0.3%
』 1
 
0.3%
Space Separator
ValueCountFrequency (%)
12945
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 3
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 38811
64.7%
Common 17517
29.2%
Latin 3620
 
6.0%
Han 31
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 1167
 
3.0%
이 1082
 
2.8%
는 955
 
2.5%
기 638
 
1.6%
다 578
 
1.5%
가 555
 
1.4%
지 553
 
1.4%
한 508
 
1.3%
사 504
 
1.3%
하 490
 
1.3%
Other values (1019) 31781
81.9%
Latin
ValueCountFrequency (%)
i 313
 
8.6%
o 310
 
8.6%
h 242
 
6.7%
e 241
 
6.7%
p 210
 
5.8%
t 190
 
5.2%
a 190
 
5.2%
u 189
 
5.2%
s 180
 
5.0%
c 179
 
4.9%
Other values (41) 1376
38.0%
Common
ValueCountFrequency (%)
12945
73.9%
: 830
 
4.7%
, 654
 
3.7%
. 480
 
2.7%
( 332
 
1.9%
) 332
 
1.9%
1 309
 
1.8%
2 285
 
1.6%
0 220
 
1.3%
! 176
 
1.0%
Other values (33) 954
 
5.4%
Han
ValueCountFrequency (%)
城 2
 
6.5%
神 2
 
6.5%
下 2
 
6.5%
難 2
 
6.5%
災 2
 
6.5%
結 1
 
3.2%
團 1
 
3.2%
參 1
 
3.2%
支 1
 
3.2%
核 1
 
3.2%
Other values (16) 16
51.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 38808
64.7%
ASCII 21072
35.1%
None 58
 
0.1%
CJK 30
 
0.1%
Punctuation 7
 
< 0.1%
Compat Jamo 3
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12945
61.4%
: 830
 
3.9%
, 654
 
3.1%
. 480
 
2.3%
( 332
 
1.6%
) 332
 
1.6%
i 313
 
1.5%
o 310
 
1.5%
1 309
 
1.5%
2 285
 
1.4%
Other values (72) 4282
 
20.3%
Hangul
ValueCountFrequency (%)
의 1167
 
3.0%
이 1082
 
2.8%
는 955
 
2.5%
기 638
 
1.6%
다 578
 
1.5%
가 555
 
1.4%
지 553
 
1.4%
한 508
 
1.3%
사 504
 
1.3%
하 490
 
1.3%
Other values (1016) 31778
81.9%
None
ValueCountFrequency (%)
· 47
81.0%
％ 3
 
5.2%
＋ 2
 
3.4%
× 1
 
1.7%
： 1
 
1.7%
〈 1
 
1.7%
〉 1
 
1.7%
』 1
 
1.7%
『 1
 
1.7%
Punctuation
ValueCountFrequency (%)
’ 3
42.9%
‘ 3
42.9%
… 1
 
14.3%
CJK
ValueCountFrequency (%)
城 2
 
6.7%
神 2
 
6.7%
下 2
 
6.7%
難 2
 
6.7%
災 2
 
6.7%
結 1
 
3.3%
團 1
 
3.3%
參 1
 
3.3%
支 1
 
3.3%
核 1
 
3.3%
Other values (15) 15
50.0%
CJK Compat Ideographs
ValueCountFrequency (%)
亂 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅇ 1
33.3%
ㅅ 1
33.3%
ㅎ 1
33.3%

저자
Text

Distinct2518
Distinct (%)78.0%
Missing0
Missing (%)0.0%
Memory size25.4 KiB
2024-04-21T11:26:36.642752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length77
Median length57
Mean length13.508978
Min length4

Characters and Unicode

Total characters43634
Distinct characters728
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

Unique2143 ?
Unique (%)66.3%

Sample

1st row브뤼노 라투르 지음 ; 황장진 옮김
2nd row장피에르 뒤피 지음 ; 배문정 옮김.해설
3rd row장문철,박준원 [공]지음
4th row보쿠 시게코 지음 ; 오현숙 옮김
5th row이병훈 지음
ValueCountFrequency (%)
지음 2294
 
17.2%
1743
 
13.1%
옮김 889
 
6.7%
그림 688
 
5.2%
글 616
 
4.6%
by 136
 
1.0%
글·그림 96
 
0.7%
외 73
 
0.5%
반디단비 70
 
0.5%
courtin 70
 
0.5%
Other values (3968) 6635
49.8%
2024-04-21T11:26:37.106013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10600
24.3%
지 2588
 
5.9%
음 2333
 
5.3%
; 1742
 
4.0%
김 1675
 
3.8%
이 910
 
2.1%
옮 891
 
2.0%
그 834
 
1.9%
림 813
 
1.9%
글 743
 
1.7%
Other values (718) 20505
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28184
64.6%
Space Separator 10600
 
24.3%
Other Punctuation 2216
 
5.1%
Lowercase Letter 2161
 
5.0%
Uppercase Letter 385
 
0.9%
Open Punctuation 31
 
0.1%
Close Punctuation 31
 
0.1%
Decimal Number 17
 
< 0.1%
Dash Punctuation 7
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 2588
 
9.2%
음 2333
 
8.3%
김 1675
 
5.9%
이 910
 
3.2%
옮 891
 
3.2%
그 834
 
3.0%
림 813
 
2.9%
글 743
 
2.6%
정 493
 
1.7%
스 360
 
1.3%
Other values (649) 16544
58.7%
Lowercase Letter
ValueCountFrequency (%)
r 306
14.2%
y 224
10.4%
i 202
9.3%
e 197
9.1%
t 172
8.0%
b 148
 
6.8%
n 146
 
6.8%
o 125
 
5.8%
u 111
 
5.1%
l 111
 
5.1%
Other values (12) 419
19.4%
Uppercase Letter
ValueCountFrequency (%)
T 91
23.6%
C 82
21.3%
A 41
10.6%
K 23
 
6.0%
M 19
 
4.9%
D 16
 
4.2%
J 15
 
3.9%
S 15
 
3.9%
W 15
 
3.9%
L 13
 
3.4%
Other values (12) 55
14.3%
Decimal Number
ValueCountFrequency (%)
2 5
29.4%
3 2
 
11.8%
9 2
 
11.8%
0 2
 
11.8%
6 1
 
5.9%
5 1
 
5.9%
7 1
 
5.9%
4 1
 
5.9%
1 1
 
5.9%
8 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
; 1742
78.6%
, 309
 
13.9%
· 117
 
5.3%
. 46
 
2.1%
: 2
 
0.1%
Open Punctuation
ValueCountFrequency (%)
[ 20
64.5%
( 9
29.0%
〈 2
 
6.5%
Close Punctuation
ValueCountFrequency (%)
] 20
64.5%
) 9
29.0%
〉 2
 
6.5%
Math Symbol
ValueCountFrequency (%)
< 1
50.0%
> 1
50.0%
Space Separator
ValueCountFrequency (%)
10600
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28184
64.6%
Common 12904
29.6%
Latin 2546
 
5.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 2588
 
9.2%
음 2333
 
8.3%
김 1675
 
5.9%
이 910
 
3.2%
옮 891
 
3.2%
그 834
 
3.0%
림 813
 
2.9%
글 743
 
2.6%
정 493
 
1.7%
스 360
 
1.3%
Other values (649) 16544
58.7%
Latin
ValueCountFrequency (%)
r 306
 
12.0%
y 224
 
8.8%
i 202
 
7.9%
e 197
 
7.7%
t 172
 
6.8%
b 148
 
5.8%
n 146
 
5.7%
o 125
 
4.9%
u 111
 
4.4%
l 111
 
4.4%
Other values (34) 804
31.6%
Common
ValueCountFrequency (%)
10600
82.1%
; 1742
 
13.5%
, 309
 
2.4%
· 117
 
0.9%
. 46
 
0.4%
[ 20
 
0.2%
] 20
 
0.2%
) 9
 
0.1%
( 9
 
0.1%
- 7
 
0.1%
Other values (15) 25
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28184
64.6%
ASCII 15329
35.1%
None 121
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10600
69.1%
; 1742
 
11.4%
, 309
 
2.0%
r 306
 
2.0%
y 224
 
1.5%
i 202
 
1.3%
e 197
 
1.3%
t 172
 
1.1%
b 148
 
1.0%
n 146
 
1.0%
Other values (56) 1283
 
8.4%
Hangul
ValueCountFrequency (%)
지 2588
 
9.2%
음 2333
 
8.3%
김 1675
 
5.9%
이 910
 
3.2%
옮 891
 
3.2%
그 834
 
3.0%
림 813
 
2.9%
글 743
 
2.6%
정 493
 
1.7%
스 360
 
1.3%
Other values (649) 16544
58.7%
None
ValueCountFrequency (%)
· 117
96.7%
〉 2
 
1.7%
〈 2
 
1.7%

출판사
Text

Distinct1059
Distinct (%)32.8%
Missing0
Missing (%)0.0%
Memory size25.4 KiB
2024-04-21T11:26:37.400245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length4.7006192
Min length1

Characters and Unicode

Total characters15183
Distinct characters575
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique556 ?
Unique (%)17.2%

Sample

1st row사월의책
2nd row지식공작소
3rd row앤써북
4th row피넛
5th row쌤앤파커스
ValueCountFrequency (%)
books 91
 
2.7%
봄이아트북스 70
 
2.1%
rainbow 70
 
2.1%
문학동네 56
 
1.7%
다산어린이 56
 
1.7%
다산북스 55
 
1.6%
교원 51
 
1.5%
성우주니어 50
 
1.5%
아람북스 42
 
1.2%
위즈덤하우스 41
 
1.2%
Other values (1070) 2809
82.8%
2024-04-21T11:26:37.807282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 758
 
5.0%
북 632
 
4.2%
이 468
 
3.1%
o 388
 
2.6%
어 334
 
2.2%
아 297
 
2.0%
사 290
 
1.9%
문 211
 
1.4%
다 209
 
1.4%
니 193
 
1.3%
Other values (565) 11403
75.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12461
82.1%
Lowercase Letter 1852
 
12.2%
Uppercase Letter 445
 
2.9%
Space Separator 163
 
1.1%
Decimal Number 83
 
0.5%
Close Punctuation 79
 
0.5%
Open Punctuation 79
 
0.5%
Other Punctuation 21
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 758
 
6.1%
북 632
 
5.1%
이 468
 
3.8%
어 334
 
2.7%
아 297
 
2.4%
사 290
 
2.3%
문 211
 
1.7%
다 209
 
1.7%
니 193
 
1.5%
산 176
 
1.4%
Other values (501) 8893
71.4%
Lowercase Letter
ValueCountFrequency (%)
o 388
21.0%
s 185
10.0%
b 164
8.9%
i 149
 
8.0%
a 147
 
7.9%
k 128
 
6.9%
n 120
 
6.5%
e 87
 
4.7%
w 85
 
4.6%
t 63
 
3.4%
Other values (15) 336
18.1%
Uppercase Letter
ValueCountFrequency (%)
R 103
23.1%
B 63
14.2%
S 49
11.0%
K 40
 
9.0%
H 36
 
8.1%
E 16
 
3.6%
O 15
 
3.4%
C 15
 
3.4%
A 13
 
2.9%
W 11
 
2.5%
Other values (13) 84
18.9%
Other Punctuation
ValueCountFrequency (%)
. 7
33.3%
& 5
23.8%
# 4
19.0%
＆ 2
 
9.5%
, 1
 
4.8%
' 1
 
4.8%
% 1
 
4.8%
Decimal Number
ValueCountFrequency (%)
1 41
49.4%
2 30
36.1%
6 5
 
6.0%
7 4
 
4.8%
0 2
 
2.4%
3 1
 
1.2%
Space Separator
ValueCountFrequency (%)
163
100.0%
Close Punctuation
ValueCountFrequency (%)
) 79
100.0%
Open Punctuation
ValueCountFrequency (%)
( 79
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12458
82.1%
Latin 2297
 
15.1%
Common 425
 
2.8%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 758
 
6.1%
북 632
 
5.1%
이 468
 
3.8%
어 334
 
2.7%
아 297
 
2.4%
사 290
 
2.3%
문 211
 
1.7%
다 209
 
1.7%
니 193
 
1.5%
산 176
 
1.4%
Other values (499) 8890
71.4%
Latin
ValueCountFrequency (%)
o 388
16.9%
s 185
 
8.1%
b 164
 
7.1%
i 149
 
6.5%
a 147
 
6.4%
k 128
 
5.6%
n 120
 
5.2%
R 103
 
4.5%
e 87
 
3.8%
w 85
 
3.7%
Other values (38) 741
32.3%
Common
ValueCountFrequency (%)
163
38.4%
) 79
18.6%
( 79
18.6%
1 41
 
9.6%
2 30
 
7.1%
. 7
 
1.6%
6 5
 
1.2%
& 5
 
1.2%
7 4
 
0.9%
# 4
 
0.9%
Other values (6) 8
 
1.9%
Han
ValueCountFrequency (%)
知 2
66.7%
禪 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12454
82.0%
ASCII 2720
 
17.9%
Compat Jamo 4
 
< 0.1%
CJK 3
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 758
 
6.1%
북 632
 
5.1%
이 468
 
3.8%
어 334
 
2.7%
아 297
 
2.4%
사 290
 
2.3%
문 211
 
1.7%
다 209
 
1.7%
니 193
 
1.5%
산 176
 
1.4%
Other values (496) 8886
71.4%
ASCII
ValueCountFrequency (%)
o 388
 
14.3%
s 185
 
6.8%
b 164
 
6.0%
163
 
6.0%
i 149
 
5.5%
a 147
 
5.4%
k 128
 
4.7%
n 120
 
4.4%
R 103
 
3.8%
e 87
 
3.2%
Other values (53) 1086
39.9%
CJK
ValueCountFrequency (%)
知 2
66.7%
禪 1
33.3%
Compat Jamo
ValueCountFrequency (%)
ㅁ 2
50.0%
ㄴ 1
25.0%
ㅊ 1
25.0%
None
ValueCountFrequency (%)
＆ 2
100.0%

발행년도
Date

Distinct22
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size25.4 KiB
Minimum1981-01-01 00:00:00
Maximum2024-01-01 00:00:00
2024-04-21T11:26:37.928761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:26:38.036044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

청구기호
Text

Distinct3209
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size25.4 KiB
2024-04-21T11:26:38.328313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length10.44644
Min length5

Characters and Unicode

Total characters33742
Distinct characters40
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

Unique3188 ?
Unique (%)98.7%

Sample

1st row166.8-65
2nd row181.3-124
3rd row004.73-41
4th row598.1-949
5th row373.4-306
ValueCountFrequency (%)
유아 400
 
9.0%
아동 294
 
6.6%
청소년 179
 
4.0%
아동영어 70
 
1.6%
아동영서 50
 
1.1%
더책 50
 
1.1%
아동만화 47
 
1.1%
학습만화 41
 
0.9%
큰글자책 26
 
0.6%
큰글자도서 15
 
0.3%
Other values (3208) 3256
73.5%
2024-04-21T11:26:38.745502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 4284
12.7%
1 3947
11.7%
8 3172
9.4%
3 3106
9.2%
2 2418
 
7.2%
4 2334
 
6.9%
. 2075
 
6.1%
5 1800
 
5.3%
7 1727
 
5.1%
0 1676
 
5.0%
Other values (30) 7203
21.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 23007
68.2%
Dash Punctuation 4284
 
12.7%
Other Letter 3068
 
9.1%
Other Punctuation 2075
 
6.1%
Space Separator 1198
 
3.6%
Math Symbol 82
 
0.2%
Uppercase Letter 28
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 862
28.1%
동 462
15.1%
유 400
13.0%
년 179
 
5.8%
소 179
 
5.8%
청 179
 
5.8%
영 120
 
3.9%
화 96
 
3.1%
만 96
 
3.1%
책 76
 
2.5%
Other values (14) 419
13.7%
Decimal Number
ValueCountFrequency (%)
1 3947
17.2%
8 3172
13.8%
3 3106
13.5%
2 2418
10.5%
4 2334
10.1%
5 1800
7.8%
7 1727
7.5%
0 1676
7.3%
9 1558
 
6.8%
6 1269
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
T 14
50.0%
I 14
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 4284
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2075
100.0%
Space Separator
ValueCountFrequency (%)
1198
100.0%
Math Symbol
ValueCountFrequency (%)
= 82
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 30646
90.8%
Hangul 3068
 
9.1%
Latin 28
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 862
28.1%
동 462
15.1%
유 400
13.0%
년 179
 
5.8%
소 179
 
5.8%
청 179
 
5.8%
영 120
 
3.9%
화 96
 
3.1%
만 96
 
3.1%
책 76
 
2.5%
Other values (14) 419
13.7%
Common
ValueCountFrequency (%)
- 4284
14.0%
1 3947
12.9%
8 3172
10.4%
3 3106
10.1%
2 2418
7.9%
4 2334
7.6%
. 2075
6.8%
5 1800
5.9%
7 1727
5.6%
0 1676
 
5.5%
Other values (4) 4107
13.4%
Latin
ValueCountFrequency (%)
T 14
50.0%
I 14
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 30674
90.9%
Hangul 3068
 
9.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 4284
14.0%
1 3947
12.9%
8 3172
10.3%
3 3106
10.1%
2 2418
7.9%
4 2334
7.6%
. 2075
6.8%
5 1800
5.9%
7 1727
5.6%
0 1676
 
5.5%
Other values (6) 4135
13.5%
Hangul
ValueCountFrequency (%)
아 862
28.1%
동 462
15.1%
유 400
13.0%
년 179
 
5.8%
소 179
 
5.8%
청 179
 
5.8%
영 120
 
3.9%
화 96
 
3.1%
만 96
 
3.1%
책 76
 
2.5%
Other values (14) 419
13.7%

도서관명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.4 KiB
부산광역시 화명도서관
1552 
부산광역시 금곡도서관
959 
부산광역시 만덕도서관
719 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부산광역시 만덕도서관
2nd row부산광역시 만덕도서관
3rd row부산광역시 만덕도서관
4th row부산광역시 만덕도서관
5th row부산광역시 만덕도서관

Common Values

ValueCountFrequency (%)
부산광역시 화명도서관 1552
48.0%
부산광역시 금곡도서관 959
29.7%
부산광역시 만덕도서관 719
22.3%

Length

2024-04-21T11:26:38.870844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:26:38.964170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 3230
50.0%
화명도서관 1552
24.0%
금곡도서관 959
 
14.8%
만덕도서관 719
 
11.1%

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size25.4 KiB
Minimum2024-03-31 00:00:00
Maximum2024-03-31 00:00:00
2024-04-21T11:26:39.054095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:26:39.136888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2024-04-21T11:26:39.213106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
발행년도도서관명
발행년도1.0000.443
도서관명0.4431.000

Missing values

2024-04-21T11:26:35.472440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T11:26:35.621428image/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

도서명저자출판사발행년도청구기호도서관명기준일자
0존재양식의 탐구 : 근대인의 인류학브뤼노 라투르 지음 ; 황장진 옮김사월의책2023166.8-65부산광역시 만덕도서관2024-03-31
1마음은 어떻게 기계가 되었나장피에르 뒤피 지음 ; 배문정 옮김.해설지식공작소2023181.3-124부산광역시 만덕도서관2024-03-31
2챗GPT 실전 활용 보고서장문철,박준원 [공]지음앤써북2023004.73-41부산광역시 만덕도서관2024-03-31
3하라고 하면 하지 않는 아이가 된다보쿠 시게코 지음 ; 오현숙 옮김피넛2024598.1-949부산광역시 만덕도서관2024-03-31
4SKY 로드맵이병훈 지음쌤앤파커스2023373.4-306부산광역시 만덕도서관2024-03-31
5삶이 당신보다 더 잘 안다 : 숲속 현자의 내맡김 수업마이클 A. 싱어 지음 ; 이균형 옮김라이팅하우스2023185.5-98부산광역시 만덕도서관2024-03-31
6세상은 이야기로 만들어졌다 : 신화·거짓말·유토피아자미라 엘 우아실,프리데만 카릭 [공]지음 ; 김현정 옮김원더박스2023001.3-331부산광역시 만덕도서관2024-03-31
7길모퉁이 카페프랑수아즈 사강 지음 ; 권지현 옮김소담2022863-981부산광역시 만덕도서관2024-03-31
8남에게 좋은 사람보다 나에게 좋은 사람조원희(무채색) 지음Feelm2023818-3662부산광역시 만덕도서관2024-03-31
9오늘부터 그림 그리기를 시작합니다카롱쌤 지음황금부엉이2023656.2-13부산광역시 만덕도서관2024-03-31
도서명저자출판사발행년도청구기호도서관명기준일자
3220과학잡학사전 통조림. 우주편사마키 다케오 외 지음 ; 서수지 옮김사람과나무사이2024청소년 404-36-3부산광역시 금곡도서관2024-03-31
322139kg선자은 지음여섯번째봄2024청소년 813.7-335부산광역시 금곡도서관2024-03-31
3222기억 삭제, 하시겠습니까? : 작전명 : 판도라남세오 지음자음과모음2023청소년 813.7-336부산광역시 금곡도서관2024-03-31
3223스파게티 신드롬마리 바레이유 지음 ; 최윤정 옮김바람의아이들2023청소년 863-13부산광역시 금곡도서관2024-03-31
3224엉뚱하지만 과학입니다. 9, 쇼핑몰 거울의 마법원종우, 최향숙 글 ; 송승기 그림와이즈만Books2024아동 404-44-9부산광역시 금곡도서관2024-03-31
3225닥터 K의 찐천재 실험실애덤 케이 글 ; 헨리 패커 그림 ; 박아람 옮김윌북주니어2024아동 404-61부산광역시 금곡도서관2024-03-31
3226일 년에 하루 상점외즈게 바하르 수나르 글 ; 에렌 자네르 폴라트 그림 ; 최윤영 옮김dodo2024유아 839-6부산광역시 금곡도서관2024-03-31
3227포근하게 안아줄게장미셸 빌리우 글 ; 마르그리트 쿠르티외 그림 ; 김자연 옮김dodo2024유아 863-429부산광역시 금곡도서관2024-03-31
3228파리 : 2023-24 최신개정판오유나 지음길벗2023980.24-56부산광역시 금곡도서관2024-03-31
3229인조이 남미 : 페루·볼리비아·칠레·아르헨티나·브라질박재영 지음넥서스books2022980.24-42부산광역시 금곡도서관2024-03-31