Overview

Dataset statistics

Number of variables9
Number of observations6517
Missing cells2
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory471.1 KiB
Average record size in memory74.0 B

Variable types

Numeric1
Text4
Categorical4

Dataset

Description서울특별시 양천구 도서관보유전자책목록 데이터입니다. 도서명, 저자명, 출판사명, 분류, 형식, 도서관명 등 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15112714/fileData.do

Alerts

도서관명 has constant value ""Constant
도서관구분코드 has constant value ""Constant
도서관홈페이지URL has constant value ""Constant
연번 is highly overall correlated with 형식High correlation
형식 is highly overall correlated with 연번High correlation
형식 is highly imbalanced (55.1%)Imbalance
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:55:21.040030
Analysis finished2023-12-12 12:55:22.867225
Duration1.83 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct6517
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3259
Minimum1
Maximum6517
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size57.4 KiB
2023-12-12T21:55:22.957008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile326.8
Q11630
median3259
Q34888
95-th percentile6191.2
Maximum6517
Range6516
Interquartile range (IQR)3258

Descriptive statistics

Standard deviation1881.4402
Coefficient of variation (CV)0.57730598
Kurtosis-1.2
Mean3259
Median Absolute Deviation (MAD)1629
Skewness0
Sum21238903
Variance3539817.2
MonotonicityStrictly increasing
2023-12-12T21:55:23.115824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
4343 1
 
< 0.1%
4353 1
 
< 0.1%
4352 1
 
< 0.1%
4351 1
 
< 0.1%
4350 1
 
< 0.1%
4349 1
 
< 0.1%
4348 1
 
< 0.1%
4347 1
 
< 0.1%
4346 1
 
< 0.1%
Other values (6507) 6507
99.8%
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 (%)
6517 1
< 0.1%
6516 1
< 0.1%
6515 1
< 0.1%
6514 1
< 0.1%
6513 1
< 0.1%
6512 1
< 0.1%
6511 1
< 0.1%
6510 1
< 0.1%
6509 1
< 0.1%
6508 1
< 0.1%

도서명
Text

Distinct6430
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size51.0 KiB
2023-12-12T21:55:23.550398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length79
Median length59
Mean length21.747123
Min length1

Characters and Unicode

Total characters141726
Distinct characters1304
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6344 ?
Unique (%)97.3%

Sample

1st row아이를 외국 학교에 보내기로 했다면 - 서울대 소아정신과 의사 아빠와 중2딸이 하나하나 겪고 함께 쓴 "적응"과 "성장"
2nd rowKidSing 월드북스 21 - 공룡은 살아있다
3rd row우리 까페나 할까?
4th row산타클로스를 납치하라
5th row거침없이 되받아치는 통쾌한 반격술
ValueCountFrequency (%)
3200
 
8.3%
2 238
 
0.6%
이야기 230
 
0.6%
위한 221
 
0.6%
1 216
 
0.6%
내 163
 
0.4%
읽는 140
 
0.4%
나는 138
 
0.4%
시리즈 128
 
0.3%
모든 115
 
0.3%
Other values (13809) 33814
87.6%
2023-12-12T21:55:24.145528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32086
 
22.6%
이 2652
 
1.9%
의 2557
 
1.8%
- 2153
 
1.5%
는 2100
 
1.5%
기 1393
 
1.0%
한 1368
 
1.0%
다 1364
 
1.0%
리 1304
 
0.9%
1 1203
 
0.8%
Other values (1294) 93546
66.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 91001
64.2%
Space Separator 32086
 
22.6%
Decimal Number 5172
 
3.6%
Uppercase Letter 4592
 
3.2%
Lowercase Letter 3250
 
2.3%
Other Punctuation 2382
 
1.7%
Dash Punctuation 2153
 
1.5%
Open Punctuation 504
 
0.4%
Close Punctuation 503
 
0.4%
Math Symbol 42
 
< 0.1%
Other values (4) 41
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 2652
 
2.9%
의 2557
 
2.8%
는 2100
 
2.3%
기 1393
 
1.5%
한 1368
 
1.5%
다 1364
 
1.5%
리 1304
 
1.4%
가 1197
 
1.3%
아 1163
 
1.3%
사 1140
 
1.3%
Other values (1198) 74763
82.2%
Uppercase Letter
ValueCountFrequency (%)
E 540
11.8%
S 480
10.5%
O 475
10.3%
L 375
 
8.2%
B 365
 
7.9%
T 362
 
7.9%
R 274
 
6.0%
K 195
 
4.2%
W 184
 
4.0%
N 169
 
3.7%
Other values (16) 1173
25.5%
Lowercase Letter
ValueCountFrequency (%)
e 430
13.2%
o 372
11.4%
i 274
 
8.4%
a 237
 
7.3%
r 229
 
7.0%
n 222
 
6.8%
t 213
 
6.6%
l 174
 
5.4%
s 170
 
5.2%
d 128
 
3.9%
Other values (15) 801
24.6%
Other Punctuation
ValueCountFrequency (%)
: 1145
48.1%
, 571
24.0%
! 193
 
8.1%
. 152
 
6.4%
? 122
 
5.1%
· 106
 
4.5%
& 18
 
0.8%
' 18
 
0.8%
% 18
 
0.8%
＆ 14
 
0.6%
Other values (5) 25
 
1.0%
Decimal Number
ValueCountFrequency (%)
1 1203
23.3%
0 1091
21.1%
2 828
16.0%
3 537
10.4%
5 321
 
6.2%
4 313
 
6.1%
6 229
 
4.4%
7 227
 
4.4%
9 222
 
4.3%
8 201
 
3.9%
Math Symbol
ValueCountFrequency (%)
+ 16
38.1%
~ 12
28.6%
< 5
 
11.9%
> 5
 
11.9%
| 4
 
9.5%
Open Punctuation
ValueCountFrequency (%)
( 321
63.7%
[ 178
35.3%
〈 3
 
0.6%
『 2
 
0.4%
Close Punctuation
ValueCountFrequency (%)
) 320
63.6%
] 178
35.4%
〉 3
 
0.6%
』 2
 
0.4%
Modifier Symbol
ValueCountFrequency (%)
` 3
75.0%
´ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
32086
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2153
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 19
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 16
100.0%
Other Symbol
ValueCountFrequency (%)
★ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 90980
64.2%
Common 42883
30.3%
Latin 7842
 
5.5%
Han 21
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 2652
 
2.9%
의 2557
 
2.8%
는 2100
 
2.3%
기 1393
 
1.5%
한 1368
 
1.5%
다 1364
 
1.5%
리 1304
 
1.4%
가 1197
 
1.3%
아 1163
 
1.3%
사 1140
 
1.3%
Other values (1179) 74742
82.2%
Latin
ValueCountFrequency (%)
E 540
 
6.9%
S 480
 
6.1%
O 475
 
6.1%
e 430
 
5.5%
L 375
 
4.8%
o 372
 
4.7%
B 365
 
4.7%
T 362
 
4.6%
i 274
 
3.5%
R 274
 
3.5%
Other values (41) 3895
49.7%
Common
ValueCountFrequency (%)
32086
74.8%
- 2153
 
5.0%
1 1203
 
2.8%
: 1145
 
2.7%
0 1091
 
2.5%
2 828
 
1.9%
, 571
 
1.3%
3 537
 
1.3%
5 321
 
0.7%
( 321
 
0.7%
Other values (35) 2627
 
6.1%
Han
ValueCountFrequency (%)
中 2
 
9.5%
出 2
 
9.5%
前 1
 
4.8%
式 1
 
4.8%
苦 1
 
4.8%
脫 1
 
4.8%
家 1
 
4.8%
噴 1
 
4.8%
的 1
 
4.8%
日 1
 
4.8%
Other values (9) 9
42.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 90959
64.2%
ASCII 50552
35.7%
None 134
 
0.1%
Punctuation 37
 
< 0.1%
Compat Jamo 21
 
< 0.1%
CJK 20
 
< 0.1%
Misc Symbols 2
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32086
63.5%
- 2153
 
4.3%
1 1203
 
2.4%
: 1145
 
2.3%
0 1091
 
2.2%
2 828
 
1.6%
, 571
 
1.1%
E 540
 
1.1%
3 537
 
1.1%
S 480
 
0.9%
Other values (74) 9918
 
19.6%
Hangul
ValueCountFrequency (%)
이 2652
 
2.9%
의 2557
 
2.8%
는 2100
 
2.3%
기 1393
 
1.5%
한 1368
 
1.5%
다 1364
 
1.5%
리 1304
 
1.4%
가 1197
 
1.3%
아 1163
 
1.3%
사 1140
 
1.3%
Other values (1175) 74721
82.1%
None
ValueCountFrequency (%)
· 106
79.1%
＆ 14
 
10.4%
％ 3
 
2.2%
〈 3
 
2.2%
〉 3
 
2.2%
』 2
 
1.5%
『 2
 
1.5%
´ 1
 
0.7%
Punctuation
ValueCountFrequency (%)
‘ 19
51.4%
’ 16
43.2%
… 2
 
5.4%
Compat Jamo
ValueCountFrequency (%)
ㆍ 18
85.7%
ㄱ 1
 
4.8%
ㄴ 1
 
4.8%
ㄷ 1
 
4.8%
CJK
ValueCountFrequency (%)
中 2
 
10.0%
出 2
 
10.0%
前 1
 
5.0%
式 1
 
5.0%
苦 1
 
5.0%
脫 1
 
5.0%
家 1
 
5.0%
噴 1
 
5.0%
的 1
 
5.0%
日 1
 
5.0%
Other values (8) 8
40.0%
Misc Symbols
ValueCountFrequency (%)
★ 2
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
戀 1
100.0%

저자명
Text

Distinct4069
Distinct (%)62.4%
Missing1
Missing (%)< 0.1%
Memory size51.0 KiB
2023-12-12T21:55:24.565391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length3
Mean length4.7412523
Min length1

Characters and Unicode

Total characters30894
Distinct characters823
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3079 ?
Unique (%)47.3%

Sample

1st row김재원, 김지인
2nd row아더 코난도일
3rd row김영혁
4th row백명화
5th row고정아
ValueCountFrequency (%)
제작팀 93
 
1.0%
걸어서 76
 
0.8%
세계속으로 76
 
0.8%
정태선 65
 
0.7%
아울북 58
 
0.6%
신화나라 35
 
0.4%
탐사회 35
 
0.4%
편집부 35
 
0.4%
존 31
 
0.3%
이춘희 26
 
0.3%
Other values (4930) 8581
94.2%
2023-12-12T21:55:25.152077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2595
 
8.4%
이 1149
 
3.7%
김 895
 
2.9%
스 601
 
1.9%
정 495
 
1.6%
리 450
 
1.5%
영 424
 
1.4%
박 385
 
1.2%
경 290
 
0.9%
진 289
 
0.9%
Other values (813) 23321
75.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26193
84.8%
Space Separator 2595
 
8.4%
Lowercase Letter 1003
 
3.2%
Uppercase Letter 553
 
1.8%
Other Punctuation 342
 
1.1%
Open Punctuation 81
 
0.3%
Close Punctuation 81
 
0.3%
Math Symbol 17
 
0.1%
Decimal Number 17
 
0.1%
Control 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 1149
 
4.4%
김 895
 
3.4%
스 601
 
2.3%
정 495
 
1.9%
리 450
 
1.7%
영 424
 
1.6%
박 385
 
1.5%
경 290
 
1.1%
진 289
 
1.1%
르 270
 
1.0%
Other values (739) 20945
80.0%
Lowercase Letter
ValueCountFrequency (%)
e 129
12.9%
a 126
12.6%
i 96
9.6%
o 67
 
6.7%
l 67
 
6.7%
r 67
 
6.7%
n 66
 
6.6%
h 65
 
6.5%
s 43
 
4.3%
c 39
 
3.9%
Other values (15) 238
23.7%
Uppercase Letter
ValueCountFrequency (%)
M 59
 
10.7%
S 55
 
9.9%
K 49
 
8.9%
J 47
 
8.5%
A 37
 
6.7%
B 36
 
6.5%
L 33
 
6.0%
C 31
 
5.6%
D 28
 
5.1%
P 27
 
4.9%
Other values (14) 151
27.3%
Other Punctuation
ValueCountFrequency (%)
. 160
46.8%
, 160
46.8%
: 14
 
4.1%
/ 4
 
1.2%
＆ 2
 
0.6%
; 1
 
0.3%
· 1
 
0.3%
Decimal Number
ValueCountFrequency (%)
0 6
35.3%
2 4
23.5%
5 2
 
11.8%
1 2
 
11.8%
7 2
 
11.8%
3 1
 
5.9%
Open Punctuation
ValueCountFrequency (%)
( 76
93.8%
〈 4
 
4.9%
[ 1
 
1.2%
Close Punctuation
ValueCountFrequency (%)
) 76
93.8%
〉 4
 
4.9%
] 1
 
1.2%
Math Symbol
ValueCountFrequency (%)
< 8
47.1%
> 8
47.1%
+ 1
 
5.9%
Space Separator
ValueCountFrequency (%)
2595
100.0%
Control
ValueCountFrequency (%)
7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26193
84.8%
Common 3145
 
10.2%
Latin 1556
 
5.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 1149
 
4.4%
김 895
 
3.4%
스 601
 
2.3%
정 495
 
1.9%
리 450
 
1.7%
영 424
 
1.6%
박 385
 
1.5%
경 290
 
1.1%
진 289
 
1.1%
르 270
 
1.0%
Other values (739) 20945
80.0%
Latin
ValueCountFrequency (%)
e 129
 
8.3%
a 126
 
8.1%
i 96
 
6.2%
o 67
 
4.3%
l 67
 
4.3%
r 67
 
4.3%
n 66
 
4.2%
h 65
 
4.2%
M 59
 
3.8%
S 55
 
3.5%
Other values (39) 759
48.8%
Common
ValueCountFrequency (%)
2595
82.5%
. 160
 
5.1%
, 160
 
5.1%
( 76
 
2.4%
) 76
 
2.4%
: 14
 
0.4%
< 8
 
0.3%
> 8
 
0.3%
7
 
0.2%
0 6
 
0.2%
Other values (15) 35
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26193
84.8%
ASCII 4690
 
15.2%
None 11
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2595
55.3%
. 160
 
3.4%
, 160
 
3.4%
e 129
 
2.8%
a 126
 
2.7%
i 96
 
2.0%
( 76
 
1.6%
) 76
 
1.6%
o 67
 
1.4%
l 67
 
1.4%
Other values (60) 1138
24.3%
Hangul
ValueCountFrequency (%)
이 1149
 
4.4%
김 895
 
3.4%
스 601
 
2.3%
정 495
 
1.9%
리 450
 
1.7%
영 424
 
1.6%
박 385
 
1.5%
경 290
 
1.1%
진 289
 
1.1%
르 270
 
1.0%
Other values (739) 20945
80.0%
None
ValueCountFrequency (%)
〉 4
36.4%
〈 4
36.4%
＆ 2
18.2%
· 1
 
9.1%

출판사명
Text

Distinct789
Distinct (%)12.1%
Missing1
Missing (%)< 0.1%
Memory size51.0 KiB
2023-12-12T21:55:25.482723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length14
Mean length4.8483732
Min length1

Characters and Unicode

Total characters31592
Distinct characters520
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique317 ?
Unique (%)4.9%

Sample

1st row웅진서가
2nd row원더e북
3rd row디자인하우스
4th row리젬
5th row국일미디어
ValueCountFrequency (%)
위즈덤하우스 260
 
3.8%
21세기북스 190
 
2.8%
예담 149
 
2.2%
넥서스 132
 
1.9%
주)도서출판 123
 
1.8%
아울북 122
 
1.8%
범우사 119
 
1.7%
랜덤하우스코리아 114
 
1.7%
꿈소담이 111
 
1.6%
소담출판사 108
 
1.6%
Other values (786) 5415
79.1%
2023-12-12T21:55:25.960768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 2106
 
6.7%
북 1314
 
4.2%
사 812
 
2.6%
이 798
 
2.5%
아 705
 
2.2%
우 654
 
2.1%
디 529
 
1.7%
어 512
 
1.6%
하 499
 
1.6%
판 495
 
1.6%
Other values (510) 23168
73.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28283
89.5%
Uppercase Letter 904
 
2.9%
Lowercase Letter 725
 
2.3%
Open Punctuation 421
 
1.3%
Close Punctuation 421
 
1.3%
Decimal Number 410
 
1.3%
Space Separator 337
 
1.1%
Other Punctuation 67
 
0.2%
Other Symbol 21
 
0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 2106
 
7.4%
북 1314
 
4.6%
사 812
 
2.9%
이 798
 
2.8%
아 705
 
2.5%
우 654
 
2.3%
디 529
 
1.9%
어 512
 
1.8%
하 499
 
1.8%
판 495
 
1.8%
Other values (451) 19859
70.2%
Uppercase Letter
ValueCountFrequency (%)
K 183
20.2%
B 140
15.5%
S 127
14.0%
O 83
9.2%
R 70
 
7.7%
H 67
 
7.4%
E 34
 
3.8%
I 33
 
3.7%
D 30
 
3.3%
M 25
 
2.8%
Other values (12) 112
12.4%
Lowercase Letter
ValueCountFrequency (%)
e 104
14.3%
o 95
13.1%
a 65
9.0%
m 57
 
7.9%
r 57
 
7.9%
t 49
 
6.8%
c 46
 
6.3%
s 42
 
5.8%
n 30
 
4.1%
l 26
 
3.6%
Other values (12) 154
21.2%
Decimal Number
ValueCountFrequency (%)
2 199
48.5%
1 191
46.6%
0 9
 
2.2%
3 6
 
1.5%
4 5
 
1.2%
Other Punctuation
ValueCountFrequency (%)
. 55
82.1%
/ 9
 
13.4%
＆ 2
 
3.0%
& 1
 
1.5%
Open Punctuation
ValueCountFrequency (%)
( 421
100.0%
Close Punctuation
ValueCountFrequency (%)
) 421
100.0%
Space Separator
ValueCountFrequency (%)
337
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28304
89.6%
Common 1659
 
5.3%
Latin 1629
 
5.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 2106
 
7.4%
북 1314
 
4.6%
사 812
 
2.9%
이 798
 
2.8%
아 705
 
2.5%
우 654
 
2.3%
디 529
 
1.9%
어 512
 
1.8%
하 499
 
1.8%
판 495
 
1.7%
Other values (452) 19880
70.2%
Latin
ValueCountFrequency (%)
K 183
 
11.2%
B 140
 
8.6%
S 127
 
7.8%
e 104
 
6.4%
o 95
 
5.8%
O 83
 
5.1%
R 70
 
4.3%
H 67
 
4.1%
a 65
 
4.0%
m 57
 
3.5%
Other values (34) 638
39.2%
Common
ValueCountFrequency (%)
( 421
25.4%
) 421
25.4%
337
20.3%
2 199
12.0%
1 191
11.5%
. 55
 
3.3%
/ 9
 
0.5%
0 9
 
0.5%
3 6
 
0.4%
4 5
 
0.3%
Other values (4) 6
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28283
89.5%
ASCII 3286
 
10.4%
None 23
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 2106
 
7.4%
북 1314
 
4.6%
사 812
 
2.9%
이 798
 
2.8%
아 705
 
2.5%
우 654
 
2.3%
디 529
 
1.9%
어 512
 
1.8%
하 499
 
1.8%
판 495
 
1.8%
Other values (451) 19859
70.2%
ASCII
ValueCountFrequency (%)
( 421
 
12.8%
) 421
 
12.8%
337
 
10.3%
2 199
 
6.1%
1 191
 
5.8%
K 183
 
5.6%
B 140
 
4.3%
S 127
 
3.9%
e 104
 
3.2%
o 95
 
2.9%
Other values (47) 1068
32.5%
None
ValueCountFrequency (%)
㈜ 21
91.3%
＆ 2
 
8.7%

분류
Text

Distinct233
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size51.0 KiB
2023-12-12T21:55:26.229790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length20
Mean length10.32515
Min length1

Characters and Unicode

Total characters67289
Distinct characters234
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)0.7%

Sample

1st row가정/생활/요리 > 육아
2nd row소설 > 영미소설
3rd row경제경영 > 창업
4th row아동 > 어린이문학
5th row자기계발 > 인간관계
ValueCountFrequency (%)
5902
32.2%
소설 1361
 
7.4%
한국소설 907
 
4.9%
아동 784
 
4.3%
어린이문학 756
 
4.1%
시/에세이 567
 
3.1%
인문 505
 
2.8%
에세이 457
 
2.5%
경제경영 369
 
2.0%
자기계발 357
 
1.9%
Other values (225) 6375
34.8%
2023-12-12T21:55:26.645323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11823
 
17.6%
> 5902
 
8.8%
/ 3265
 
4.9%
소 2951
 
4.4%
설 2852
 
4.2%
이 2228
 
3.3%
국 1936
 
2.9%
문 1868
 
2.8%
어 1675
 
2.5%
경 1620
 
2.4%
Other values (224) 31169
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 45610
67.8%
Space Separator 11823
 
17.6%
Math Symbol 6085
 
9.0%
Other Punctuation 3265
 
4.9%
Decimal Number 366
 
0.5%
Uppercase Letter 138
 
0.2%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 2951
 
6.5%
설 2852
 
6.3%
이 2228
 
4.9%
국 1936
 
4.2%
문 1868
 
4.1%
어 1675
 
3.7%
경 1620
 
3.6%
세 1597
 
3.5%
학 1574
 
3.5%
한 1373
 
3.0%
Other values (210) 25936
56.9%
Uppercase Letter
ValueCountFrequency (%)
I 53
38.4%
T 53
38.4%
F 15
 
10.9%
S 15
 
10.9%
O 1
 
0.7%
A 1
 
0.7%
Math Symbol
ValueCountFrequency (%)
> 5902
97.0%
~ 183
 
3.0%
Decimal Number
ValueCountFrequency (%)
3 183
50.0%
0 183
50.0%
Space Separator
ValueCountFrequency (%)
11823
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 3265
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 45610
67.8%
Common 21541
32.0%
Latin 138
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 2951
 
6.5%
설 2852
 
6.3%
이 2228
 
4.9%
국 1936
 
4.2%
문 1868
 
4.1%
어 1675
 
3.7%
경 1620
 
3.6%
세 1597
 
3.5%
학 1574
 
3.5%
한 1373
 
3.0%
Other values (210) 25936
56.9%
Common
ValueCountFrequency (%)
11823
54.9%
> 5902
27.4%
/ 3265
 
15.2%
3 183
 
0.8%
0 183
 
0.8%
~ 183
 
0.8%
( 1
 
< 0.1%
) 1
 
< 0.1%
Latin
ValueCountFrequency (%)
I 53
38.4%
T 53
38.4%
F 15
 
10.9%
S 15
 
10.9%
O 1
 
0.7%
A 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 45610
67.8%
ASCII 21679
32.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11823
54.5%
> 5902
27.2%
/ 3265
 
15.1%
3 183
 
0.8%
0 183
 
0.8%
~ 183
 
0.8%
I 53
 
0.2%
T 53
 
0.2%
F 15
 
0.1%
S 15
 
0.1%
Other values (4) 4
 
< 0.1%
Hangul
ValueCountFrequency (%)
소 2951
 
6.5%
설 2852
 
6.3%
이 2228
 
4.9%
국 1936
 
4.2%
문 1868
 
4.1%
어 1675
 
3.7%
경 1620
 
3.6%
세 1597
 
3.5%
학 1574
 
3.5%
한 1373
 
3.0%
Other values (210) 25936
56.9%

형식
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size51.0 KiB
전자책
5905 
오디오북
612 

Length

Max length4
Median length3
Mean length3.0939082
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전자책 5905
90.6%
오디오북 612
 
9.4%

Length

2023-12-12T21:55:26.824675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:55:26.933104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전자책 5905
90.6%
오디오북 612
 
9.4%

도서관명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size51.0 KiB
양천중앙도서관
6517 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
양천중앙도서관 6517
100.0%

Length

2023-12-12T21:55:27.052946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:55:27.160231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
양천중앙도서관 6517
100.0%

도서관구분코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size51.0 KiB
111504
6517 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row111504
2nd row111504
3rd row111504
4th row111504
5th row111504

Common Values

ValueCountFrequency (%)
111504 6517
100.0%

Length

2023-12-12T21:55:27.282734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:55:27.743075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
111504 6517
100.0%

도서관홈페이지URL
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size51.0 KiB
lib.yangcheon.or.kr
6517 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowlib.yangcheon.or.kr
2nd rowlib.yangcheon.or.kr
3rd rowlib.yangcheon.or.kr
4th rowlib.yangcheon.or.kr
5th rowlib.yangcheon.or.kr

Common Values

ValueCountFrequency (%)
lib.yangcheon.or.kr 6517
100.0%

Length

2023-12-12T21:55:27.849078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:55:27.956031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
lib.yangcheon.or.kr 6517
100.0%

Interactions

2023-12-12T21:55:22.417775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:55:28.030822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번형식
연번1.0000.999
형식0.9991.000
2023-12-12T21:55:28.132979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번형식
연번1.0000.965
형식0.9651.000

Missing values

2023-12-12T21:55:22.534256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:55:22.677372image/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.
2023-12-12T21:55:22.796381image/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

연번도서명저자명출판사명분류형식도서관명도서관구분코드도서관홈페이지URL
01아이를 외국 학교에 보내기로 했다면 - 서울대 소아정신과 의사 아빠와 중2딸이 하나하나 겪고 함께 쓴 "적응"과 "성장"김재원, 김지인웅진서가가정/생활/요리 > 육아전자책양천중앙도서관111504lib.yangcheon.or.kr
12KidSing 월드북스 21 - 공룡은 살아있다아더 코난도일원더e북소설 > 영미소설전자책양천중앙도서관111504lib.yangcheon.or.kr
23우리 까페나 할까?김영혁디자인하우스경제경영 > 창업전자책양천중앙도서관111504lib.yangcheon.or.kr
34산타클로스를 납치하라백명화리젬아동 > 어린이문학전자책양천중앙도서관111504lib.yangcheon.or.kr
45거침없이 되받아치는 통쾌한 반격술고정아국일미디어자기계발 > 인간관계전자책양천중앙도서관111504lib.yangcheon.or.kr
56스타일 재테크줄리 스태브국일미디어경제경영 > 재테크/금융전자책양천중앙도서관111504lib.yangcheon.or.kr
67네모난 지구가 동그래지기까지저자없음여우오줌아동 > 과학/우주전자책양천중앙도서관111504lib.yangcheon.or.kr
781억 연봉을 버는 FP/FC의 비결왕승순길벗경제경영 > 창업전자책양천중앙도서관111504lib.yangcheon.or.kr
89도전! 나도 우주인이은정스콜라아동 > 과학/우주전자책양천중앙도서관111504lib.yangcheon.or.kr
910므이 - 100년 동안 잠들었던 비밀스런 초상화의 전설강도하예담출판사소설 > 한국소설전자책양천중앙도서관111504lib.yangcheon.or.kr
연번도서명저자명출판사명분류형식도서관명도서관구분코드도서관홈페이지URL
65076508의욕이 뿜뿜 솟는 50가지 방법쓰카모토 료이지북성공학/처세술오디오북양천중앙도서관111504lib.yangcheon.or.kr
65086509시작의 기술개리 비숍웅진지식하우스성공학/처세술오디오북양천중앙도서관111504lib.yangcheon.or.kr
65096510럭키드로우드로우앤드류다산북스취업/창업오디오북양천중앙도서관111504lib.yangcheon.or.kr
65106511때로는 행복 대신 불행을 택하기도 한다김진명이타북스에세이오디오북양천중앙도서관111504lib.yangcheon.or.kr
65116512굿모닝 해빗멜 로빈스 저, 강성실 역쌤앤파커스성공학/처세술오디오북양천중앙도서관111504lib.yangcheon.or.kr
65126513웰씽킹켈리 최다산북스성공학/처세술오디오북양천중앙도서관111504lib.yangcheon.or.kr
65136514계획이 실패가 되지 않게이소연다산북스성공학/처세술오디오북양천중앙도서관111504lib.yangcheon.or.kr
65146515한 권으로 배우는 음악 이야기전기홍상상출판성공학/처세술오디오북양천중앙도서관111504lib.yangcheon.or.kr
65156516운명이라는 힘임선영상상출판성공학/처세술오디오북양천중앙도서관111504lib.yangcheon.or.kr
65166517운의 알고리즘현존 정회도소울소사이어티성공학/처세술오디오북양천중앙도서관111504lib.yangcheon.or.kr