Overview

Dataset statistics

Number of variables5
Number of observations6487
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory259.9 KiB
Average record size in memory41.0 B

Variable types

Numeric1
Text4

Dataset

Description대구광역시 공무원교육원에서 보유하고 있는 도서에 대한 데이터로, 도서명, 저자, 출판사, 도서기호 등에 대한 정보를 제공합니다.
Author대구광역시
URLhttps://www.data.go.kr/data/15062379/fileData.do

Alerts

연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:33:55.623685
Analysis finished2023-12-12 08:33:57.656572
Duration2.03 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct6487
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3244
Minimum1
Maximum6487
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size57.1 KiB
2023-12-12T17:33:57.742756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile325.3
Q11622.5
median3244
Q34865.5
95-th percentile6162.7
Maximum6487
Range6486
Interquartile range (IQR)3243

Descriptive statistics

Standard deviation1872.7799
Coefficient of variation (CV)0.57730577
Kurtosis-1.2
Mean3244
Median Absolute Deviation (MAD)1622
Skewness0
Sum21043828
Variance3507304.7
MonotonicityStrictly increasing
2023-12-12T17:33:57.886549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
4323 1
 
< 0.1%
4333 1
 
< 0.1%
4332 1
 
< 0.1%
4331 1
 
< 0.1%
4330 1
 
< 0.1%
4329 1
 
< 0.1%
4328 1
 
< 0.1%
4327 1
 
< 0.1%
4326 1
 
< 0.1%
Other values (6477) 6477
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 (%)
6487 1
< 0.1%
6486 1
< 0.1%
6485 1
< 0.1%
6484 1
< 0.1%
6483 1
< 0.1%
6482 1
< 0.1%
6481 1
< 0.1%
6480 1
< 0.1%
6479 1
< 0.1%
6478 1
< 0.1%

도서명
Text

Distinct5882
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Memory size50.8 KiB
2023-12-12T17:33:58.274341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length112
Median length61
Mean length19.994913
Min length1

Characters and Unicode

Total characters129707
Distinct characters1429
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks12 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5564 ?
Unique (%)85.8%

Sample

1st row열정과 기질:거장들의 삶에서 밝혀낸 창조성의 조건
2nd row(평범한 일상을 특별한 기회로 바꾸는) 한눈파는 시간의 힘
3rd row침대부터 정리하라:인생을 바꾸고 세상을 바꾸는 사소한 일들
4th row조금 다르게 생각했을 뿐인데:나만의 잠재된 창의성을 발견하는 법
5th row감정을 선택하라:더 행복한 인생을 위한 감정 선택의 심리학
ValueCountFrequency (%)
장편소설 372
 
1.2%
224
 
0.7%
이야기 205
 
0.7%
위한 180
 
0.6%
내 135
 
0.4%
나는 102
 
0.3%
한 94
 
0.3%
할 88
 
0.3%
힘 74
 
0.2%
나를 73
 
0.2%
Other values (15163) 29316
95.0%
2023-12-12T17:33:58.812589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24386
 
18.8%
의 3196
 
2.5%
: 2931
 
2.3%
는 2351
 
1.8%
이 2336
 
1.8%
한 1510
 
1.2%
기 1488
 
1.1%
가 1397
 
1.1%
사 1387
 
1.1%
다 1369
 
1.1%
Other values (1419) 87356
67.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 92686
71.5%
Space Separator 24386
 
18.8%
Other Punctuation 4279
 
3.3%
Lowercase Letter 2780
 
2.1%
Decimal Number 2424
 
1.9%
Close Punctuation 1014
 
0.8%
Open Punctuation 1014
 
0.8%
Uppercase Letter 890
 
0.7%
Math Symbol 192
 
0.1%
Dash Punctuation 31
 
< 0.1%
Other values (3) 11
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 3196
 
3.4%
는 2351
 
2.5%
이 2336
 
2.5%
한 1510
 
1.6%
기 1488
 
1.6%
가 1397
 
1.5%
사 1387
 
1.5%
다 1369
 
1.5%
지 1334
 
1.4%
리 1290
 
1.4%
Other values (1313) 75028
80.9%
Lowercase Letter
ValueCountFrequency (%)
e 312
 
11.2%
o 241
 
8.7%
n 231
 
8.3%
i 224
 
8.1%
a 212
 
7.6%
r 186
 
6.7%
t 182
 
6.5%
s 161
 
5.8%
l 124
 
4.5%
d 110
 
4.0%
Other values (16) 797
28.7%
Uppercase Letter
ValueCountFrequency (%)
E 75
 
8.4%
T 64
 
7.2%
C 62
 
7.0%
S 59
 
6.6%
N 58
 
6.5%
B 53
 
6.0%
A 53
 
6.0%
O 51
 
5.7%
I 50
 
5.6%
P 49
 
5.5%
Other values (16) 316
35.5%
Other Punctuation
ValueCountFrequency (%)
: 2931
68.5%
, 687
 
16.1%
! 197
 
4.6%
· 126
 
2.9%
? 118
 
2.8%
. 80
 
1.9%
' 75
 
1.8%
＆ 18
 
0.4%
％ 12
 
0.3%
& 10
 
0.2%
Other values (9) 25
 
0.6%
Decimal Number
ValueCountFrequency (%)
0 670
27.6%
1 542
22.4%
2 325
13.4%
3 229
 
9.4%
5 174
 
7.2%
4 136
 
5.6%
7 93
 
3.8%
6 89
 
3.7%
9 88
 
3.6%
8 78
 
3.2%
Close Punctuation
ValueCountFrequency (%)
) 1005
99.1%
』 3
 
0.3%
》 3
 
0.3%
〉 1
 
0.1%
] 1
 
0.1%
」 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1005
99.1%
《 3
 
0.3%
『 3
 
0.3%
〈 1
 
0.1%
[ 1
 
0.1%
「 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
= 159
82.8%
+ 16
 
8.3%
~ 13
 
6.8%
< 2
 
1.0%
> 2
 
1.0%
Other Symbol
ValueCountFrequency (%)
□ 3
33.3%
★ 2
22.2%
℃ 2
22.2%
ⓔ 2
22.2%
Space Separator
ValueCountFrequency (%)
24386
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 92206
71.1%
Common 33350
 
25.7%
Latin 3671
 
2.8%
Han 480
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 3196
 
3.5%
는 2351
 
2.5%
이 2336
 
2.5%
한 1510
 
1.6%
기 1488
 
1.6%
가 1397
 
1.5%
사 1387
 
1.5%
다 1369
 
1.5%
지 1334
 
1.4%
리 1290
 
1.4%
Other values (1141) 74548
80.8%
Han
ValueCountFrequency (%)
大 26
 
5.4%
趙 25
 
5.2%
小 25
 
5.2%
河 24
 
5.0%
來 24
 
5.0%
廷 24
 
5.0%
說 14
 
2.9%
國 12
 
2.5%
設 11
 
2.3%
新 8
 
1.7%
Other values (162) 287
59.8%
Common
ValueCountFrequency (%)
24386
73.1%
: 2931
 
8.8%
) 1005
 
3.0%
( 1005
 
3.0%
, 687
 
2.1%
0 670
 
2.0%
1 542
 
1.6%
2 325
 
1.0%
3 229
 
0.7%
! 197
 
0.6%
Other values (43) 1373
 
4.1%
Latin
ValueCountFrequency (%)
e 312
 
8.5%
o 241
 
6.6%
n 231
 
6.3%
i 224
 
6.1%
a 212
 
5.8%
r 186
 
5.1%
t 182
 
5.0%
s 161
 
4.4%
l 124
 
3.4%
d 110
 
3.0%
Other values (43) 1688
46.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 92205
71.1%
ASCII 36829
 
28.4%
CJK 467
 
0.4%
None 175
 
0.1%
CJK Compat Ideographs 13
 
< 0.1%
Punctuation 7
 
< 0.1%
Geometric Shapes 3
 
< 0.1%
Misc Symbols 2
 
< 0.1%
Letterlike Symbols 2
 
< 0.1%
Enclosed Alphanum 2
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24386
66.2%
: 2931
 
8.0%
) 1005
 
2.7%
( 1005
 
2.7%
, 687
 
1.9%
0 670
 
1.8%
1 542
 
1.5%
2 325
 
0.9%
e 312
 
0.8%
o 241
 
0.7%
Other values (77) 4725
 
12.8%
Hangul
ValueCountFrequency (%)
의 3196
 
3.5%
는 2351
 
2.5%
이 2336
 
2.5%
한 1510
 
1.6%
기 1488
 
1.6%
가 1397
 
1.5%
사 1387
 
1.5%
다 1369
 
1.5%
지 1334
 
1.4%
리 1290
 
1.4%
Other values (1140) 74547
80.8%
None
ValueCountFrequency (%)
· 126
72.0%
＆ 18
 
10.3%
％ 12
 
6.9%
《 3
 
1.7%
『 3
 
1.7%
』 3
 
1.7%
》 3
 
1.7%
＇ 2
 
1.1%
〈 1
 
0.6%
〉 1
 
0.6%
Other values (3) 3
 
1.7%
CJK
ValueCountFrequency (%)
大 26
 
5.6%
趙 25
 
5.4%
小 25
 
5.4%
河 24
 
5.1%
來 24
 
5.1%
廷 24
 
5.1%
說 14
 
3.0%
國 12
 
2.6%
設 11
 
2.4%
新 8
 
1.7%
Other values (153) 274
58.7%
Punctuation
ValueCountFrequency (%)
… 7
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
老 4
30.8%
歷 2
15.4%
茶 1
 
7.7%
禮 1
 
7.7%
理 1
 
7.7%
金 1
 
7.7%
旅 1
 
7.7%
女 1
 
7.7%
念 1
 
7.7%
Geometric Shapes
ValueCountFrequency (%)
□ 3
100.0%
Misc Symbols
ValueCountFrequency (%)
★ 2
100.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 2
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
ⓔ 2
100.0%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

저자
Text

Distinct5243
Distinct (%)80.8%
Missing0
Missing (%)0.0%
Memory size50.8 KiB
2023-12-12T17:33:59.142462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length101
Median length84
Mean length12.478341
Min length3

Characters and Unicode

Total characters80947
Distinct characters964
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4625 ?
Unique (%)71.3%

Sample

1st row하워드 가드너 지음;문용린 감역;임재서 옮김
2nd row김민영 지음
3rd row윌리엄 H. 맥레이븐 지음;고기탁 옮김
4th row바스 카스트 지음;정인회 옮김
5th row크리스 코트먼,해롤드 시니츠키 지음;곽성혜 옮김
ValueCountFrequency (%)
지음 2858
 
14.5%
옮김 2270
 
11.5%
그림 280
 
1.4%
공]지음 147
 
0.7%
저 109
 
0.6%
엮음 97
 
0.5%
96
 
0.5%
글·그림 91
 
0.5%
공]옮김 68
 
0.3%
일러스트 62
 
0.3%
Other values (8318) 13661
69.2%
2023-12-12T17:33:59.603172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13347
 
16.5%
지 5924
 
7.3%
음 5695
 
7.0%
김 3786
 
4.7%
; 3330
 
4.1%
옮 2409
 
3.0%
이 2000
 
2.5%
스 983
 
1.2%
, 899
 
1.1%
정 892
 
1.1%
Other values (954) 41682
51.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 60867
75.2%
Space Separator 13347
 
16.5%
Other Punctuation 4678
 
5.8%
Close Punctuation 612
 
0.8%
Open Punctuation 611
 
0.8%
Uppercase Letter 489
 
0.6%
Lowercase Letter 282
 
0.3%
Decimal Number 26
 
< 0.1%
Dash Punctuation 16
 
< 0.1%
Math Symbol 15
 
< 0.1%
Other values (3) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 5924
 
9.7%
음 5695
 
9.4%
김 3786
 
6.2%
옮 2409
 
4.0%
이 2000
 
3.3%
스 983
 
1.6%
정 892
 
1.5%
영 734
 
1.2%
리 625
 
1.0%
진 622
 
1.0%
Other values (878) 37197
61.1%
Uppercase Letter
ValueCountFrequency (%)
B 62
12.7%
S 55
11.2%
K 37
 
7.6%
A 33
 
6.7%
J 32
 
6.5%
E 32
 
6.5%
M 31
 
6.3%
R 29
 
5.9%
C 25
 
5.1%
L 24
 
4.9%
Other values (14) 129
26.4%
Lowercase Letter
ValueCountFrequency (%)
e 34
12.1%
a 30
10.6%
o 25
 
8.9%
l 24
 
8.5%
n 24
 
8.5%
i 20
 
7.1%
u 19
 
6.7%
t 15
 
5.3%
r 13
 
4.6%
c 13
 
4.6%
Other values (13) 65
23.0%
Decimal Number
ValueCountFrequency (%)
0 7
26.9%
1 6
23.1%
2 6
23.1%
3 2
 
7.7%
6 2
 
7.7%
9 1
 
3.8%
5 1
 
3.8%
8 1
 
3.8%
Other Punctuation
ValueCountFrequency (%)
; 3330
71.2%
, 899
 
19.2%
. 245
 
5.2%
· 197
 
4.2%
& 3
 
0.1%
' 2
 
< 0.1%
＆ 2
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
] 594
97.1%
〉 12
 
2.0%
) 5
 
0.8%
』 1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
[ 594
97.2%
〈 12
 
2.0%
( 5
 
0.8%
Math Symbol
ValueCountFrequency (%)
> 8
53.3%
< 7
46.7%
Space Separator
ValueCountFrequency (%)
13347
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Other Symbol
ValueCountFrequency (%)
ⓔ 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 60747
75.0%
Common 19308
 
23.9%
Latin 772
 
1.0%
Han 120
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 5924
 
9.8%
음 5695
 
9.4%
김 3786
 
6.2%
옮 2409
 
4.0%
이 2000
 
3.3%
스 983
 
1.6%
정 892
 
1.5%
영 734
 
1.2%
리 625
 
1.0%
진 622
 
1.0%
Other values (804) 37077
61.0%
Han
ValueCountFrequency (%)
著 13
 
10.8%
譯 11
 
9.2%
共 6
 
5.0%
李 3
 
2.5%
金 3
 
2.5%
解 3
 
2.5%
朴 3
 
2.5%
慕 2
 
1.7%
編 2
 
1.7%
何 2
 
1.7%
Other values (64) 72
60.0%
Latin
ValueCountFrequency (%)
B 62
 
8.0%
S 55
 
7.1%
K 37
 
4.8%
e 34
 
4.4%
A 33
 
4.3%
J 32
 
4.1%
E 32
 
4.1%
M 31
 
4.0%
a 30
 
3.9%
R 29
 
3.8%
Other values (38) 397
51.4%
Common
ValueCountFrequency (%)
13347
69.1%
; 3330
 
17.2%
, 899
 
4.7%
] 594
 
3.1%
[ 594
 
3.1%
. 245
 
1.3%
· 197
 
1.0%
- 16
 
0.1%
〈 12
 
0.1%
〉 12
 
0.1%
Other values (18) 62
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 60747
75.0%
ASCII 19853
 
24.5%
None 224
 
0.3%
CJK 113
 
0.1%
CJK Compat Ideographs 7
 
< 0.1%
Enclosed Alphanum 2
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13347
67.2%
; 3330
 
16.8%
, 899
 
4.5%
] 594
 
3.0%
[ 594
 
3.0%
. 245
 
1.2%
B 62
 
0.3%
S 55
 
0.3%
K 37
 
0.2%
e 34
 
0.2%
Other values (59) 656
 
3.3%
Hangul
ValueCountFrequency (%)
지 5924
 
9.8%
음 5695
 
9.4%
김 3786
 
6.2%
옮 2409
 
4.0%
이 2000
 
3.3%
스 983
 
1.6%
정 892
 
1.5%
영 734
 
1.2%
리 625
 
1.0%
진 622
 
1.0%
Other values (804) 37077
61.0%
None
ValueCountFrequency (%)
· 197
87.9%
〈 12
 
5.4%
〉 12
 
5.4%
＆ 2
 
0.9%
』 1
 
0.4%
CJK
ValueCountFrequency (%)
著 13
 
11.5%
譯 11
 
9.7%
共 6
 
5.3%
金 3
 
2.7%
解 3
 
2.7%
朴 3
 
2.7%
慕 2
 
1.8%
編 2
 
1.8%
何 2
 
1.8%
洙 2
 
1.8%
Other values (60) 66
58.4%
CJK Compat Ideographs
ValueCountFrequency (%)
李 3
42.9%
盧 2
28.6%
連 1
 
14.3%
金 1
 
14.3%
Enclosed Alphanum
ValueCountFrequency (%)
ⓔ 2
100.0%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%

출판사
Text

Distinct2268
Distinct (%)35.0%
Missing0
Missing (%)0.0%
Memory size50.8 KiB
2023-12-12T17:33:59.940281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length25
Mean length5.3901649
Min length1

Characters and Unicode

Total characters34966
Distinct characters702
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1425 ?
Unique (%)22.0%

Sample

1st row북스넛
2nd row카시오페아
3rd row파주:열린책들
4th row한국경제신문
5th row유노북스
ValueCountFrequency (%)
파주:문학동네 146
 
2.2%
파주:김영사 108
 
1.6%
고양:위즈덤하우스 84
 
1.3%
해냄 73
 
1.1%
민음사 71
 
1.1%
파주:21세기북스 69
 
1.0%
파주:창비 57
 
0.9%
황금가지 51
 
0.8%
파주:열린책들 45
 
0.7%
김영사 45
 
0.7%
Other values (2275) 5942
88.8%
2023-12-12T17:34:00.409802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
: 2278
 
6.5%
스 1413
 
4.0%
파 1227
 
3.5%
사 1161
 
3.3%
주 1159
 
3.3%
북 847
 
2.4%
서 732
 
2.1%
문 632
 
1.8%
울 590
 
1.7%
이 556
 
1.6%
Other values (692) 24371
69.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30900
88.4%
Other Punctuation 2348
 
6.7%
Lowercase Letter 797
 
2.3%
Uppercase Letter 368
 
1.1%
Decimal Number 290
 
0.8%
Space Separator 204
 
0.6%
Close Punctuation 27
 
0.1%
Open Punctuation 27
 
0.1%
Dash Punctuation 3
 
< 0.1%
Currency Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 1413
 
4.6%
파 1227
 
4.0%
사 1161
 
3.8%
주 1159
 
3.8%
북 847
 
2.7%
서 732
 
2.4%
문 632
 
2.0%
울 590
 
1.9%
이 556
 
1.8%
우 413
 
1.3%
Other values (618) 22170
71.7%
Lowercase Letter
ValueCountFrequency (%)
o 178
22.3%
s 97
12.2%
k 69
 
8.7%
e 61
 
7.7%
i 57
 
7.2%
n 53
 
6.6%
b 41
 
5.1%
a 36
 
4.5%
r 35
 
4.4%
m 26
 
3.3%
Other values (15) 144
18.1%
Uppercase Letter
ValueCountFrequency (%)
B 103
28.0%
M 54
14.7%
K 25
 
6.8%
R 24
 
6.5%
H 23
 
6.2%
P 17
 
4.6%
C 16
 
4.3%
A 11
 
3.0%
I 10
 
2.7%
L 10
 
2.7%
Other values (15) 75
20.4%
Other Punctuation
ValueCountFrequency (%)
: 2278
97.0%
＆ 25
 
1.1%
& 17
 
0.7%
. 10
 
0.4%
· 8
 
0.3%
; 5
 
0.2%
@ 2
 
0.1%
＠ 1
 
< 0.1%
： 1
 
< 0.1%
, 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
2 140
48.3%
1 135
46.6%
0 5
 
1.7%
3 5
 
1.7%
6 3
 
1.0%
5 2
 
0.7%
Close Punctuation
ValueCountFrequency (%)
) 25
92.6%
] 2
 
7.4%
Open Punctuation
ValueCountFrequency (%)
( 25
92.6%
[ 2
 
7.4%
Space Separator
ValueCountFrequency (%)
204
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30806
88.1%
Common 2901
 
8.3%
Latin 1165
 
3.3%
Han 94
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 1413
 
4.6%
파 1227
 
4.0%
사 1161
 
3.8%
주 1159
 
3.8%
북 847
 
2.7%
서 732
 
2.4%
문 632
 
2.1%
울 590
 
1.9%
이 556
 
1.8%
우 413
 
1.3%
Other values (564) 22076
71.7%
Han
ValueCountFrequency (%)
社 21
22.3%
文 8
 
8.5%
法 4
 
4.3%
敎 3
 
3.2%
大 3
 
3.2%
英 3
 
3.2%
博 2
 
2.1%
經 2
 
2.1%
出 2
 
2.1%
版 2
 
2.1%
Other values (44) 44
46.8%
Latin
ValueCountFrequency (%)
o 178
15.3%
B 103
 
8.8%
s 97
 
8.3%
k 69
 
5.9%
e 61
 
5.2%
i 57
 
4.9%
M 54
 
4.6%
n 53
 
4.5%
b 41
 
3.5%
a 36
 
3.1%
Other values (40) 416
35.7%
Common
ValueCountFrequency (%)
: 2278
78.5%
204
 
7.0%
2 140
 
4.8%
1 135
 
4.7%
) 25
 
0.9%
( 25
 
0.9%
＆ 25
 
0.9%
& 17
 
0.6%
. 10
 
0.3%
· 8
 
0.3%
Other values (14) 34
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30805
88.1%
ASCII 4031
 
11.5%
CJK 94
 
0.3%
None 35
 
0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
: 2278
56.5%
204
 
5.1%
o 178
 
4.4%
2 140
 
3.5%
1 135
 
3.3%
B 103
 
2.6%
s 97
 
2.4%
k 69
 
1.7%
e 61
 
1.5%
i 57
 
1.4%
Other values (60) 709
 
17.6%
Hangul
ValueCountFrequency (%)
스 1413
 
4.6%
파 1227
 
4.0%
사 1161
 
3.8%
주 1159
 
3.8%
북 847
 
2.7%
서 732
 
2.4%
문 632
 
2.1%
울 590
 
1.9%
이 556
 
1.8%
우 413
 
1.3%
Other values (563) 22075
71.7%
None
ValueCountFrequency (%)
＆ 25
71.4%
· 8
 
22.9%
＠ 1
 
2.9%
： 1
 
2.9%
CJK
ValueCountFrequency (%)
社 21
22.3%
文 8
 
8.5%
法 4
 
4.3%
敎 3
 
3.2%
大 3
 
3.2%
英 3
 
3.2%
博 2
 
2.1%
經 2
 
2.1%
出 2
 
2.1%
版 2
 
2.1%
Other values (44) 44
46.8%
Compat Jamo
ValueCountFrequency (%)
ㅁ 1
100.0%

도서기호
Text

Distinct6378
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size50.8 KiB
2023-12-12T17:34:01.002342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length10.681825
Min length8

Characters and Unicode

Total characters69293
Distinct characters478
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

Unique6283 ?
Unique (%)96.9%

Sample

1st row181.53/가27ㅇ
2nd row199.1/김38ㅎ
3rd row199.1/맥294ㅊ
4th row181.53/카57ㅈ
5th row181.7/코887ㄱ
ValueCountFrequency (%)
020.13/노36ㅇ 4
 
0.1%
193.2/정63ㅁ 3
 
< 0.1%
863/뮈55ㅅ 3
 
< 0.1%
813.6/김78ㅇ 3
 
< 0.1%
818/김67ㅇ 3
 
< 0.1%
863/베297ㅈ;2 3
 
< 0.1%
199.1/존57ㅅ 3
 
< 0.1%
199.1/카194ㅋ 3
 
< 0.1%
325.099/홍92ㅇ 3
 
< 0.1%
813.6/공78ㅂ 3
 
< 0.1%
Other values (6369) 6457
99.5%
2023-12-12T17:34:01.520629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 6298
 
9.1%
1 5886
 
8.5%
8 5720
 
8.3%
. 5240
 
7.6%
3 5084
 
7.3%
2 5045
 
7.3%
5 4320
 
6.2%
4 4291
 
6.2%
9 3977
 
5.7%
6 3971
 
5.7%
Other values (468) 19461
28.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 43348
62.6%
Other Letter 12963
 
18.7%
Other Punctuation 12532
 
18.1%
Dash Punctuation 235
 
0.3%
Uppercase Letter 142
 
0.2%
Math Symbol 52
 
0.1%
Lowercase Letter 11
 
< 0.1%
Open Punctuation 6
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ㅇ 1411
 
10.9%
ㅅ 864
 
6.7%
이 666
 
5.1%
김 628
 
4.8%
ㄱ 618
 
4.8%
ㅈ 513
 
4.0%
ㄴ 509
 
3.9%
ㅁ 470
 
3.6%
ㅎ 448
 
3.5%
ㅂ 400
 
3.1%
Other values (441) 6436
49.6%
Decimal Number
ValueCountFrequency (%)
1 5886
13.6%
8 5720
13.2%
3 5084
11.7%
2 5045
11.6%
5 4320
10.0%
4 4291
9.9%
9 3977
9.2%
6 3971
9.2%
7 3058
7.1%
0 1996
 
4.6%
Lowercase Letter
ValueCountFrequency (%)
e 2
18.2%
g 2
18.2%
s 2
18.2%
c 1
9.1%
n 1
9.1%
z 1
9.1%
l 1
9.1%
u 1
9.1%
Other Punctuation
ValueCountFrequency (%)
/ 6298
50.3%
. 5240
41.8%
; 994
 
7.9%
Dash Punctuation
ValueCountFrequency (%)
- 235
100.0%
Uppercase Letter
ValueCountFrequency (%)
J 142
100.0%
Math Symbol
ValueCountFrequency (%)
= 52
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 6
100.0%
Close Punctuation
ValueCountFrequency (%)
] 3
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 56177
81.1%
Hangul 12963
 
18.7%
Latin 153
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
ㅇ 1411
 
10.9%
ㅅ 864
 
6.7%
이 666
 
5.1%
김 628
 
4.8%
ㄱ 618
 
4.8%
ㅈ 513
 
4.0%
ㄴ 509
 
3.9%
ㅁ 470
 
3.6%
ㅎ 448
 
3.5%
ㅂ 400
 
3.1%
Other values (441) 6436
49.6%
Common
ValueCountFrequency (%)
/ 6298
11.2%
1 5886
10.5%
8 5720
10.2%
. 5240
9.3%
3 5084
9.0%
2 5045
9.0%
5 4320
7.7%
4 4291
7.6%
9 3977
7.1%
6 3971
7.1%
Other values (8) 6345
11.3%
Latin
ValueCountFrequency (%)
J 142
92.8%
e 2
 
1.3%
g 2
 
1.3%
s 2
 
1.3%
c 1
 
0.7%
n 1
 
0.7%
z 1
 
0.7%
l 1
 
0.7%
u 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 56330
81.3%
Hangul 6487
 
9.4%
Compat Jamo 6476
 
9.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 6298
11.2%
1 5886
10.4%
8 5720
10.2%
. 5240
9.3%
3 5084
9.0%
2 5045
9.0%
5 4320
7.7%
4 4291
7.6%
9 3977
7.1%
6 3971
7.0%
Other values (17) 6498
11.5%
Compat Jamo
ValueCountFrequency (%)
ㅇ 1411
21.8%
ㅅ 864
13.3%
ㄱ 618
9.5%
ㅈ 513
 
7.9%
ㄴ 509
 
7.9%
ㅁ 470
 
7.3%
ㅎ 448
 
6.9%
ㅂ 400
 
6.2%
ㄷ 381
 
5.9%
ㅊ 244
 
3.8%
Other values (9) 618
9.5%
Hangul
ValueCountFrequency (%)
이 666
 
10.3%
김 628
 
9.7%
박 271
 
4.2%
정 191
 
2.9%
최 177
 
2.7%
조 161
 
2.5%
오 111
 
1.7%
신 100
 
1.5%
한 99
 
1.5%
유 84
 
1.3%
Other values (422) 3999
61.6%

Interactions

2023-12-12T17:33:57.359179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T17:33:57.490874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:33:57.599765image/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

연번도서명저자출판사도서기호
01열정과 기질:거장들의 삶에서 밝혀낸 창조성의 조건하워드 가드너 지음;문용린 감역;임재서 옮김북스넛181.53/가27ㅇ
12(평범한 일상을 특별한 기회로 바꾸는) 한눈파는 시간의 힘김민영 지음카시오페아199.1/김38ㅎ
23침대부터 정리하라:인생을 바꾸고 세상을 바꾸는 사소한 일들윌리엄 H. 맥레이븐 지음;고기탁 옮김파주:열린책들199.1/맥294ㅊ
34조금 다르게 생각했을 뿐인데:나만의 잠재된 창의성을 발견하는 법바스 카스트 지음;정인회 옮김한국경제신문181.53/카57ㅈ
45감정을 선택하라:더 행복한 인생을 위한 감정 선택의 심리학크리스 코트먼,해롤드 시니츠키 지음;곽성혜 옮김유노북스181.7/코887ㄱ
56배부른 나라의 우울한 사람들:열심히 노력해도 행복하지 않은 당신을 위한 현실 심리학가타다 다마미 지음;전경아 옮김파주:웅진지식하우스:웅진씽크빅181.7/가882ㅂ
67또 화를 내고 말았습니다:화가 치밀 때 펼쳐보는 책공진수 지음대림북스181.71/공78ㄸ
78누구나 자격지심은 있다:나만 잘 안 된다고 생각하는 자기 감옥에 갇힌 사람들을 위한 심리치유서공진수 지음대림북스182.1/공78ㄴ
89이대로 괜찮습니다:'네거티브 퀸'을 위한 대인관계 상담실호소카와 텐텐;미즈시마 히로코 지음;황국영 옮김휴머니스트186.3/호55ㅇ
910완벽이란 놈에 발목 잡혀 한 걸음도 못 나갈 때김글리 지음메디치199.5/김17ㅇ
연번도서명저자출판사도서기호
64776478독신주의자와 결혼하기하다하다 글·그림섬타임즈818-하22ㄷ
64786479외계에서 온 펀자이씨엄유진 글·그림문학동네818-엄66ㅍ-2
64796480어디로 가세요 펀자이씨?엄유진 글·그림문학동네818-엄66ㅍ-1
64806481엄마의 자존감 공부 : 천 번을 미안해도 나는 엄마다김미경 지음21세기북스598.1-김38ㅇ
64816482(이미 늦었다고 생각하는 당신을 위한) 김미경의 마흔 수업김미경 지음어웨이크북스325.211-김38ㄱ
64826483GPT 제너레이션이시한 지음북모먼트331.5412-이58ㅈ
64836484(비전공자가 업무에서 자주 물어보는) 101가지 컴퓨터 활용팁반병현 ; 이효석 지음생능출판사004-반44ㅂ
64846485챗GPT : 마침내 찾아온 특이점반병현 지음생능북스331.5412-반44ㅊ
64856486놓아주는 엄마 주도하는 아이윌리엄 스틱스러드,네드 존슨 [공]지음 ; 이영래 옮김쌤앤파커스598.1-스888ㄴ=2
64866487리얼 어메리카 : 미국의 민낯으로 보는 한국의 꼰대 문화이재의 지음부크크342.3-이73ㄹ