Overview

Dataset statistics

Number of variables9
Number of observations2680
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory196.4 KiB
Average record size in memory75.0 B

Variable types

Numeric3
Categorical2
Text4

Dataset

Description경기도 하남시의 2023년 1월 ~7월 위례도서관 신간도서에 대한 데이터로 청구기호, 자료실명, 서명, 저작자 등의 항목을 제공합니다.
Author공공데이터포털
URLhttps://www.data.go.kr/data/15119796/fileData.do

Alerts

관리구분 has constant value ""Constant
연번 is highly overall correlated with 자료실명High correlation
자료실명 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2024-04-17 12:59:47.867739
Analysis finished2024-04-17 12:59:50.001340
Duration2.13 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct2680
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1340.5
Minimum1
Maximum2680
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.7 KiB
2024-04-17T21:59:50.065229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile134.95
Q1670.75
median1340.5
Q32010.25
95-th percentile2546.05
Maximum2680
Range2679
Interquartile range (IQR)1339.5

Descriptive statistics

Standard deviation773.79368
Coefficient of variation (CV)0.57724258
Kurtosis-1.2
Mean1340.5
Median Absolute Deviation (MAD)670
Skewness0
Sum3592540
Variance598756.67
MonotonicityStrictly increasing
2024-04-17T21:59:50.188177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1782 1
 
< 0.1%
1784 1
 
< 0.1%
1785 1
 
< 0.1%
1786 1
 
< 0.1%
1787 1
 
< 0.1%
1788 1
 
< 0.1%
1789 1
 
< 0.1%
1790 1
 
< 0.1%
1791 1
 
< 0.1%
Other values (2670) 2670
99.6%
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 (%)
2680 1
< 0.1%
2679 1
< 0.1%
2678 1
< 0.1%
2677 1
< 0.1%
2676 1
< 0.1%
2675 1
< 0.1%
2674 1
< 0.1%
2673 1
< 0.1%
2672 1
< 0.1%
2671 1
< 0.1%

관리구분
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size21.1 KiB
하남시위례도서관
2680 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
하남시위례도서관 2680
100.0%

Length

2024-04-17T21:59:50.294843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:59:50.371808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
하남시위례도서관 2680
100.0%

청구기호
Text

Distinct2670
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size21.1 KiB
2024-04-17T21:59:50.526354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length11.827239
Min length8

Characters and Unicode

Total characters31697
Distinct characters382
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2660 ?
Unique (%)99.3%

Sample

1st row001-김65ㅅ
2nd row001.3-이25ㄴ
3rd row004-니15ㅇ
4th row004.583-최54ㅅ
5th row004.61-이65ㅅ
ValueCountFrequency (%)
아영 177
 
6.2%
큰글자 7
 
0.2%
843.6-반894ㅇ 2
 
0.1%
큰그림 2
 
0.1%
199.1-그292ㅇ 2
 
0.1%
598.1-김75유 2
 
0.1%
321.55-캠894ㄲ-8 2
 
0.1%
334.9-오198ㅅ 2
 
0.1%
아813.8-북34ㅂ-50 2
 
0.1%
유808.91-길44기-15 2
 
0.1%
Other values (2664) 2667
93.0%
2024-04-17T21:59:50.836068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 3739
 
11.8%
8 3119
 
9.8%
4 2200
 
6.9%
3 2190
 
6.9%
1 2112
 
6.7%
2 1983
 
6.3%
9 1783
 
5.6%
. 1722
 
5.4%
7 1561
 
4.9%
5 1559
 
4.9%
Other values (372) 9729
30.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19024
60.0%
Other Letter 6346
 
20.0%
Dash Punctuation 3739
 
11.8%
Other Punctuation 1733
 
5.5%
Lowercase Letter 275
 
0.9%
Uppercase Letter 262
 
0.8%
Space Separator 187
 
0.6%
Math Symbol 131
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 887
 
14.0%
ㅇ 387
 
6.1%
유 380
 
6.0%
ㄱ 372
 
5.9%
ㅅ 319
 
5.0%
영 260
 
4.1%
ㅂ 217
 
3.4%
ㄴ 210
 
3.3%
김 179
 
2.8%
이 159
 
2.5%
Other values (314) 2976
46.9%
Lowercase Letter
ValueCountFrequency (%)
w 32
 
11.6%
s 28
 
10.2%
m 25
 
9.1%
f 20
 
7.3%
h 18
 
6.5%
b 15
 
5.5%
t 14
 
5.1%
o 14
 
5.1%
d 13
 
4.7%
l 13
 
4.7%
Other values (12) 83
30.2%
Uppercase Letter
ValueCountFrequency (%)
C 35
13.4%
S 34
13.0%
M 26
9.9%
H 23
8.8%
B 22
 
8.4%
G 18
 
6.9%
D 14
 
5.3%
W 13
 
5.0%
L 11
 
4.2%
R 9
 
3.4%
Other values (11) 57
21.8%
Decimal Number
ValueCountFrequency (%)
8 3119
16.4%
4 2200
11.6%
3 2190
11.5%
1 2112
11.1%
2 1983
10.4%
9 1783
9.4%
7 1561
8.2%
5 1559
8.2%
6 1364
7.2%
0 1153
 
6.1%
Other Punctuation
ValueCountFrequency (%)
. 1722
99.4%
, 11
 
0.6%
Dash Punctuation
ValueCountFrequency (%)
- 3739
100.0%
Space Separator
ValueCountFrequency (%)
187
100.0%
Math Symbol
ValueCountFrequency (%)
= 131
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24814
78.3%
Hangul 6346
 
20.0%
Latin 537
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 887
 
14.0%
ㅇ 387
 
6.1%
유 380
 
6.0%
ㄱ 372
 
5.9%
ㅅ 319
 
5.0%
영 260
 
4.1%
ㅂ 217
 
3.4%
ㄴ 210
 
3.3%
김 179
 
2.8%
이 159
 
2.5%
Other values (314) 2976
46.9%
Latin
ValueCountFrequency (%)
C 35
 
6.5%
S 34
 
6.3%
w 32
 
6.0%
s 28
 
5.2%
M 26
 
4.8%
m 25
 
4.7%
H 23
 
4.3%
B 22
 
4.1%
f 20
 
3.7%
h 18
 
3.4%
Other values (33) 274
51.0%
Common
ValueCountFrequency (%)
- 3739
15.1%
8 3119
12.6%
4 2200
8.9%
3 2190
8.8%
1 2112
8.5%
2 1983
8.0%
9 1783
7.2%
. 1722
6.9%
7 1561
6.3%
5 1559
6.3%
Other values (5) 2846
11.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 25351
80.0%
Hangul 4066
 
12.8%
Compat Jamo 2280
 
7.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 3739
14.7%
8 3119
12.3%
4 2200
8.7%
3 2190
8.6%
1 2112
8.3%
2 1983
7.8%
9 1783
7.0%
. 1722
6.8%
7 1561
6.2%
5 1559
6.1%
Other values (48) 3383
13.3%
Hangul
ValueCountFrequency (%)
아 887
21.8%
유 380
 
9.3%
영 260
 
6.4%
김 179
 
4.4%
이 159
 
3.9%
자 144
 
3.5%
그 90
 
2.2%
비 88
 
2.2%
박 80
 
2.0%
정 64
 
1.6%
Other values (295) 1735
42.7%
Compat Jamo
ValueCountFrequency (%)
ㅇ 387
17.0%
ㄱ 372
16.3%
ㅅ 319
14.0%
ㅂ 217
9.5%
ㄴ 210
9.2%
ㅁ 121
 
5.3%
ㅈ 120
 
5.3%
ㅊ 117
 
5.1%
ㄷ 99
 
4.3%
ㅎ 93
 
4.1%
Other values (9) 225
9.9%

자료실명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.1 KiB
위례_종합자료실
1468 
위례_어린이실
1210 
위례_유아실
 
2

Length

Max length8
Median length8
Mean length7.5470149
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
위례_종합자료실 1468
54.8%
위례_어린이실 1210
45.1%
위례_유아실 2
 
0.1%

Length

2024-04-17T21:59:50.961728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:59:51.055244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위례_종합자료실 1468
54.8%
위례_어린이실 1210
45.1%
위례_유아실 2
 
0.1%

서명
Text

Distinct2596
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size21.1 KiB
2024-04-17T21:59:51.345949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length215
Median length69
Mean length25.774254
Min length1

Characters and Unicode

Total characters69075
Distinct characters1269
Distinct categories15 ?
Distinct scripts6 ?
Distinct blocks11 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2515 ?
Unique (%)93.8%

Sample

1st row생각의 시대 : 인류 문명을 만든 5가지 생각의 도구를 만나다
2nd row나는 게임한다 고로 존재한다 : 청소년을 위한 게임 인문학 수업
3rd rowIT 5분 잡학사전 : 학교에서 알려 주지 않는 IT 지식
4th row싫었던 코딩이 좋아졌다
5th row사이버 공격 : 막느냐! 뚫리느냐! = Cyber attack
ValueCountFrequency (%)
1286
 
7.4%
이야기 207
 
1.2%
the 121
 
0.7%
어떻게 98
 
0.6%
위한 86
 
0.5%
1 73
 
0.4%
of 59
 
0.3%
2 57
 
0.3%
how 57
 
0.3%
내 52
 
0.3%
Other values (8544) 15328
88.0%
2024-04-17T21:59:51.778695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14744
 
21.3%
의 1245
 
1.8%
이 1212
 
1.8%
는 1111
 
1.6%
: 1096
 
1.6%
e 1050
 
1.5%
o 743
 
1.1%
기 739
 
1.1%
가 665
 
1.0%
t 589
 
0.9%
Other values (1259) 45881
66.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 40102
58.1%
Space Separator 14744
 
21.3%
Lowercase Letter 7872
 
11.4%
Other Punctuation 2743
 
4.0%
Uppercase Letter 1142
 
1.7%
Decimal Number 1126
 
1.6%
Open Punctuation 496
 
0.7%
Close Punctuation 496
 
0.7%
Math Symbol 196
 
0.3%
Dash Punctuation 152
 
0.2%
Other values (5) 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 1245
 
3.1%
이 1212
 
3.0%
는 1111
 
2.8%
기 739
 
1.8%
가 665
 
1.7%
한 549
 
1.4%
을 537
 
1.3%
사 515
 
1.3%
지 502
 
1.3%
리 501
 
1.2%
Other values (1162) 32526
81.1%
Lowercase Letter
ValueCountFrequency (%)
e 1050
13.3%
o 743
 
9.4%
t 589
 
7.5%
a 586
 
7.4%
r 556
 
7.1%
i 548
 
7.0%
s 485
 
6.2%
n 484
 
6.1%
h 372
 
4.7%
l 322
 
4.1%
Other values (16) 2137
27.1%
Uppercase Letter
ValueCountFrequency (%)
T 174
15.2%
H 103
 
9.0%
S 78
 
6.8%
M 76
 
6.7%
P 69
 
6.0%
B 63
 
5.5%
G 63
 
5.5%
D 59
 
5.2%
A 59
 
5.2%
F 54
 
4.7%
Other values (16) 344
30.1%
Other Punctuation
ValueCountFrequency (%)
: 1096
40.0%
, 585
21.3%
. 391
 
14.3%
? 282
 
10.3%
! 146
 
5.3%
' 84
 
3.1%
; 73
 
2.7%
· 39
 
1.4%
/ 15
 
0.5%
& 11
 
0.4%
Other values (6) 21
 
0.8%
Decimal Number
ValueCountFrequency (%)
1 264
23.4%
0 218
19.4%
2 200
17.8%
3 126
11.2%
5 88
 
7.8%
4 69
 
6.1%
6 48
 
4.3%
7 42
 
3.7%
8 39
 
3.5%
9 32
 
2.8%
Open Punctuation
ValueCountFrequency (%)
( 480
96.8%
[ 12
 
2.4%
『 3
 
0.6%
「 1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 480
96.8%
] 12
 
2.4%
』 3
 
0.6%
」 1
 
0.2%
Math Symbol
ValueCountFrequency (%)
= 182
92.9%
~ 11
 
5.6%
+ 2
 
1.0%
| 1
 
0.5%
Space Separator
ValueCountFrequency (%)
14744
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 152
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%
Other Symbol
ValueCountFrequency (%)
★ 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 39874
57.7%
Common 19957
28.9%
Latin 9016
 
13.1%
Han 140
 
0.2%
Hiragana 53
 
0.1%
Katakana 35
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 1245
 
3.1%
이 1212
 
3.0%
는 1111
 
2.8%
기 739
 
1.9%
가 665
 
1.7%
한 549
 
1.4%
을 537
 
1.3%
사 515
 
1.3%
지 502
 
1.3%
리 501
 
1.3%
Other values (994) 32298
81.0%
Han
ValueCountFrequency (%)
的 5
 
3.6%
最 3
 
2.1%
子 3
 
2.1%
一 3
 
2.1%
了 3
 
2.1%
生 2
 
1.4%
心 2
 
1.4%
遇 2
 
1.4%
朝 2
 
1.4%
孩 2
 
1.4%
Other values (103) 113
80.7%
Latin
ValueCountFrequency (%)
e 1050
 
11.6%
o 743
 
8.2%
t 589
 
6.5%
a 586
 
6.5%
r 556
 
6.2%
i 548
 
6.1%
s 485
 
5.4%
n 484
 
5.4%
h 372
 
4.1%
l 322
 
3.6%
Other values (43) 3281
36.4%
Common
ValueCountFrequency (%)
14744
73.9%
: 1096
 
5.5%
, 585
 
2.9%
( 480
 
2.4%
) 480
 
2.4%
. 391
 
2.0%
? 282
 
1.4%
1 264
 
1.3%
0 218
 
1.1%
2 200
 
1.0%
Other values (34) 1217
 
6.1%
Katakana
ValueCountFrequency (%)
レ 3
 
8.6%
ト 3
 
8.6%
ン 3
 
8.6%
ス 2
 
5.7%
ジ 1
 
2.9%
フ 1
 
2.9%
ヒ 1
 
2.9%
ラ 1
 
2.9%
ワ 1
 
2.9%
メ 1
 
2.9%
Other values (18) 18
51.4%
Hiragana
ValueCountFrequency (%)
の 9
17.0%
た 5
 
9.4%
あ 4
 
7.5%
し 4
 
7.5%
い 3
 
5.7%
る 2
 
3.8%
と 2
 
3.8%
が 2
 
3.8%
ご 2
 
3.8%
く 2
 
3.8%
Other values (17) 18
34.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 39869
57.7%
ASCII 28916
41.9%
CJK 139
 
0.2%
Hiragana 53
 
0.1%
None 50
 
0.1%
Katakana 35
 
0.1%
Compat Jamo 5
 
< 0.1%
Punctuation 4
 
< 0.1%
Number Forms 2
 
< 0.1%
Misc Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14744
51.0%
: 1096
 
3.8%
e 1050
 
3.6%
o 743
 
2.6%
t 589
 
2.0%
a 586
 
2.0%
, 585
 
2.0%
r 556
 
1.9%
i 548
 
1.9%
s 485
 
1.7%
Other values (75) 7934
27.4%
Hangul
ValueCountFrequency (%)
의 1245
 
3.1%
이 1212
 
3.0%
는 1111
 
2.8%
기 739
 
1.9%
가 665
 
1.7%
한 549
 
1.4%
을 537
 
1.3%
사 515
 
1.3%
지 502
 
1.3%
리 501
 
1.3%
Other values (989) 32293
81.0%
None
ValueCountFrequency (%)
· 39
78.0%
『 3
 
6.0%
』 3
 
6.0%
、 2
 
4.0%
「 1
 
2.0%
＆ 1
 
2.0%
」 1
 
2.0%
Hiragana
ValueCountFrequency (%)
の 9
17.0%
た 5
 
9.4%
あ 4
 
7.5%
し 4
 
7.5%
い 3
 
5.7%
る 2
 
3.8%
と 2
 
3.8%
が 2
 
3.8%
ご 2
 
3.8%
く 2
 
3.8%
Other values (17) 18
34.0%
CJK
ValueCountFrequency (%)
的 5
 
3.6%
最 3
 
2.2%
子 3
 
2.2%
一 3
 
2.2%
了 3
 
2.2%
生 2
 
1.4%
心 2
 
1.4%
遇 2
 
1.4%
朝 2
 
1.4%
孩 2
 
1.4%
Other values (102) 112
80.6%
Katakana
ValueCountFrequency (%)
レ 3
 
8.6%
ト 3
 
8.6%
ン 3
 
8.6%
ス 2
 
5.7%
ジ 1
 
2.9%
フ 1
 
2.9%
ヒ 1
 
2.9%
ラ 1
 
2.9%
ワ 1
 
2.9%
メ 1
 
2.9%
Other values (18) 18
51.4%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%
Punctuation
ValueCountFrequency (%)
… 2
50.0%
‘ 1
25.0%
’ 1
25.0%
Misc Symbols
ValueCountFrequency (%)
★ 1
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
金 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㄹ 1
20.0%
ㅋ 1
20.0%
ㅅ 1
20.0%
ㅈ 1
20.0%
ㅣ 1
20.0%

저작자
Text

Distinct2231
Distinct (%)83.2%
Missing0
Missing (%)0.0%
Memory size21.1 KiB
2024-04-17T21:59:52.110865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length88
Median length75
Mean length15.254104
Min length3

Characters and Unicode

Total characters40881
Distinct characters775
Distinct categories10 ?
Distinct scripts6 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2005 ?
Unique (%)74.8%

Sample

1st row김용규 지음
2nd row이동은 지음
3rd row니꼴라스, 배지현 [공]지음
4th row최선경 지음
5th row이용석 지음
ValueCountFrequency (%)
1568
 
13.3%
지음 1498
 
12.7%
옮김 770
 
6.5%
그림 609
 
5.2%
글 489
 
4.2%
글·그림 132
 
1.1%
by 120
 
1.0%
공]지음 105
 
0.9%
illustrated 51
 
0.4%
저 40
 
0.3%
Other values (3963) 6398
54.3%
2024-04-17T21:59:52.598455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9101
22.3%
지 1859
 
4.5%
음 1662
 
4.1%
; 1564
 
3.8%
김 1353
 
3.3%
그 817
 
2.0%
옮 785
 
1.9%
림 775
 
1.9%
글 680
 
1.7%
이 676
 
1.7%
Other values (765) 21609
52.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23088
56.5%
Space Separator 9101
 
22.3%
Lowercase Letter 5087
 
12.4%
Other Punctuation 2055
 
5.0%
Uppercase Letter 938
 
2.3%
Close Punctuation 287
 
0.7%
Open Punctuation 287
 
0.7%
Decimal Number 17
 
< 0.1%
Dash Punctuation 15
 
< 0.1%
Math Symbol 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 1859
 
8.1%
음 1662
 
7.2%
김 1353
 
5.9%
그 817
 
3.5%
옮 785
 
3.4%
림 775
 
3.4%
글 680
 
2.9%
이 676
 
2.9%
정 385
 
1.7%
스 385
 
1.7%
Other values (689) 13711
59.4%
Lowercase Letter
ValueCountFrequency (%)
e 564
11.1%
a 563
11.1%
i 432
 
8.5%
r 422
 
8.3%
n 399
 
7.8%
l 377
 
7.4%
t 376
 
7.4%
o 294
 
5.8%
s 248
 
4.9%
y 217
 
4.3%
Other values (16) 1195
23.5%
Uppercase Letter
ValueCountFrequency (%)
C 99
 
10.6%
S 92
 
9.8%
B 76
 
8.1%
M 66
 
7.0%
J 57
 
6.1%
D 55
 
5.9%
T 55
 
5.9%
H 52
 
5.5%
L 50
 
5.3%
R 44
 
4.7%
Other values (14) 292
31.1%
Other Punctuation
ValueCountFrequency (%)
; 1564
76.1%
, 222
 
10.8%
· 148
 
7.2%
. 83
 
4.0%
? 31
 
1.5%
" 4
 
0.2%
' 2
 
0.1%
& 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
2 8
47.1%
1 4
23.5%
3 2
 
11.8%
7 1
 
5.9%
4 1
 
5.9%
0 1
 
5.9%
Math Symbol
ValueCountFrequency (%)
> 2
33.3%
< 2
33.3%
= 1
16.7%
+ 1
16.7%
Close Punctuation
ValueCountFrequency (%)
] 247
86.1%
) 39
 
13.6%
〉 1
 
0.3%
Open Punctuation
ValueCountFrequency (%)
[ 247
86.1%
( 39
 
13.6%
〈 1
 
0.3%
Space Separator
ValueCountFrequency (%)
9101
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22995
56.2%
Common 11768
28.8%
Latin 6025
 
14.7%
Han 67
 
0.2%
Katakana 24
 
0.1%
Hiragana 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 1859
 
8.1%
음 1662
 
7.2%
김 1353
 
5.9%
그 817
 
3.6%
옮 785
 
3.4%
림 775
 
3.4%
글 680
 
3.0%
이 676
 
2.9%
정 385
 
1.7%
스 385
 
1.7%
Other values (626) 13618
59.2%
Latin
ValueCountFrequency (%)
e 564
 
9.4%
a 563
 
9.3%
i 432
 
7.2%
r 422
 
7.0%
n 399
 
6.6%
l 377
 
6.3%
t 376
 
6.2%
o 294
 
4.9%
s 248
 
4.1%
y 217
 
3.6%
Other values (40) 2133
35.4%
Han
ValueCountFrequency (%)
著 14
 
20.9%
川 2
 
3.0%
子 2
 
3.0%
美 2
 
3.0%
王 2
 
3.0%
相 2
 
3.0%
露 1
 
1.5%
精 1
 
1.5%
口 1
 
1.5%
易 1
 
1.5%
Other values (39) 39
58.2%
Common
ValueCountFrequency (%)
9101
77.3%
; 1564
 
13.3%
] 247
 
2.1%
[ 247
 
2.1%
, 222
 
1.9%
· 148
 
1.3%
. 83
 
0.7%
) 39
 
0.3%
( 39
 
0.3%
? 31
 
0.3%
Other values (16) 47
 
0.4%
Katakana
ValueCountFrequency (%)
シ 6
25.0%
ケ 4
16.7%
ヨ 2
 
8.3%
タ 2
 
8.3%
ン 2
 
8.3%
ス 2
 
8.3%
ル 1
 
4.2%
ピ 1
 
4.2%
レ 1
 
4.2%
ヘ 1
 
4.2%
Other values (2) 2
 
8.3%
Hiragana
ValueCountFrequency (%)
う 1
50.0%
ゆ 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22991
56.2%
ASCII 17643
43.2%
None 150
 
0.4%
CJK 67
 
0.2%
Katakana 24
 
0.1%
Compat Jamo 4
 
< 0.1%
Hiragana 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9101
51.6%
; 1564
 
8.9%
e 564
 
3.2%
a 563
 
3.2%
i 432
 
2.4%
r 422
 
2.4%
n 399
 
2.3%
l 377
 
2.1%
t 376
 
2.1%
o 294
 
1.7%
Other values (63) 3551
 
20.1%
Hangul
ValueCountFrequency (%)
지 1859
 
8.1%
음 1662
 
7.2%
김 1353
 
5.9%
그 817
 
3.6%
옮 785
 
3.4%
림 775
 
3.4%
글 680
 
3.0%
이 676
 
2.9%
정 385
 
1.7%
스 385
 
1.7%
Other values (625) 13614
59.2%
None
ValueCountFrequency (%)
· 148
98.7%
〈 1
 
0.7%
〉 1
 
0.7%
CJK
ValueCountFrequency (%)
著 14
 
20.9%
川 2
 
3.0%
子 2
 
3.0%
美 2
 
3.0%
王 2
 
3.0%
相 2
 
3.0%
露 1
 
1.5%
精 1
 
1.5%
口 1
 
1.5%
易 1
 
1.5%
Other values (39) 39
58.2%
Katakana
ValueCountFrequency (%)
シ 6
25.0%
ケ 4
16.7%
ヨ 2
 
8.3%
タ 2
 
8.3%
ン 2
 
8.3%
ス 2
 
8.3%
ル 1
 
4.2%
ピ 1
 
4.2%
レ 1
 
4.2%
ヘ 1
 
4.2%
Other values (2) 2
 
8.3%
Compat Jamo
ValueCountFrequency (%)
ㆍ 4
100.0%
Hiragana
ValueCountFrequency (%)
う 1
50.0%
ゆ 1
50.0%

발행자
Text

Distinct949
Distinct (%)35.4%
Missing0
Missing (%)0.0%
Memory size21.1 KiB
2024-04-17T21:59:52.831193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length27
Mean length6.5320896
Min length1

Characters and Unicode

Total characters17506
Distinct characters592
Distinct categories7 ?
Distinct scripts5 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique604 ?
Unique (%)22.5%

Sample

1st row김영사
2nd row자음과모음
3rd row이지스퍼블리싱
4th row아르카디아
5th row상상미디어
ValueCountFrequency (%)
자음과모음 136
 
4.6%
비룡소 97
 
3.2%
books 78
 
2.6%
그레이트books:그레이트북스 64
 
2.1%
민음인 61
 
2.0%
캠퍼스멘토 50
 
1.7%
위즈덤하우스 38
 
1.3%
문학동네 37
 
1.2%
웅진주니어:웅진씽크빅 34
 
1.1%
walker 30
 
1.0%
Other values (1001) 2363
79.1%
2024-04-17T21:59:53.181333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 637
 
3.6%
: 575
 
3.3%
o 559
 
3.2%
이 513
 
2.9%
북 484
 
2.8%
s 414
 
2.4%
음 374
 
2.1%
e 364
 
2.1%
r 315
 
1.8%
308
 
1.8%
Other values (582) 12963
74.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11867
67.8%
Lowercase Letter 3691
 
21.1%
Uppercase Letter 954
 
5.4%
Other Punctuation 629
 
3.6%
Space Separator 308
 
1.8%
Decimal Number 52
 
0.3%
Dash Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 637
 
5.4%
이 513
 
4.3%
북 484
 
4.1%
음 374
 
3.2%
어 280
 
2.4%
트 193
 
1.6%
아 190
 
1.6%
사 189
 
1.6%
레 181
 
1.5%
비 180
 
1.5%
Other values (515) 8646
72.9%
Uppercase Letter
ValueCountFrequency (%)
B 200
21.0%
H 99
10.4%
M 71
 
7.4%
C 63
 
6.6%
A 62
 
6.5%
P 51
 
5.3%
R 50
 
5.2%
K 48
 
5.0%
W 39
 
4.1%
S 38
 
4.0%
Other values (16) 233
24.4%
Lowercase Letter
ValueCountFrequency (%)
o 559
15.1%
s 414
11.2%
e 364
9.9%
r 315
8.5%
i 270
7.3%
l 251
 
6.8%
a 250
 
6.8%
k 248
 
6.7%
n 231
 
6.3%
t 153
 
4.1%
Other values (15) 636
17.2%
Decimal Number
ValueCountFrequency (%)
2 24
46.2%
1 14
26.9%
4 6
 
11.5%
6 4
 
7.7%
8 1
 
1.9%
9 1
 
1.9%
7 1
 
1.9%
3 1
 
1.9%
Other Punctuation
ValueCountFrequency (%)
: 575
91.4%
' 27
 
4.3%
& 15
 
2.4%
? 8
 
1.3%
. 3
 
0.5%
, 1
 
0.2%
Space Separator
ValueCountFrequency (%)
308
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11761
67.2%
Latin 4645
 
26.5%
Common 994
 
5.7%
Han 94
 
0.5%
Katakana 12
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 637
 
5.4%
이 513
 
4.4%
북 484
 
4.1%
음 374
 
3.2%
어 280
 
2.4%
트 193
 
1.6%
아 190
 
1.6%
사 189
 
1.6%
레 181
 
1.5%
비 180
 
1.5%
Other values (470) 8540
72.6%
Latin
ValueCountFrequency (%)
o 559
 
12.0%
s 414
 
8.9%
e 364
 
7.8%
r 315
 
6.8%
i 270
 
5.8%
l 251
 
5.4%
a 250
 
5.4%
k 248
 
5.3%
n 231
 
5.0%
B 200
 
4.3%
Other values (41) 1543
33.2%
Han
ValueCountFrequency (%)
文 14
14.9%
社 13
13.8%
東 10
10.6%
選 10
10.6%
出 8
 
8.5%
版 8
 
8.5%
新 3
 
3.2%
公 2
 
2.1%
光 2
 
2.1%
論 1
 
1.1%
Other values (23) 23
24.5%
Common
ValueCountFrequency (%)
: 575
57.8%
308
31.0%
' 27
 
2.7%
2 24
 
2.4%
& 15
 
1.5%
1 14
 
1.4%
? 8
 
0.8%
4 6
 
0.6%
- 5
 
0.5%
6 4
 
0.4%
Other values (6) 8
 
0.8%
Katakana
ValueCountFrequency (%)
ダ 1
8.3%
ヤ 1
8.3%
イ 1
8.3%
モ 1
8.3%
ド 1
8.3%
ン 1
8.3%
マ 1
8.3%
ポ 1
8.3%
プ 1
8.3%
ラ 1
8.3%
Other values (2) 2
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11760
67.2%
ASCII 5639
32.2%
CJK 94
 
0.5%
Katakana 12
 
0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 637
 
5.4%
이 513
 
4.4%
북 484
 
4.1%
음 374
 
3.2%
어 280
 
2.4%
트 193
 
1.6%
아 190
 
1.6%
사 189
 
1.6%
레 181
 
1.5%
비 180
 
1.5%
Other values (469) 8539
72.6%
ASCII
ValueCountFrequency (%)
: 575
 
10.2%
o 559
 
9.9%
s 414
 
7.3%
e 364
 
6.5%
r 315
 
5.6%
308
 
5.5%
i 270
 
4.8%
l 251
 
4.5%
a 250
 
4.4%
k 248
 
4.4%
Other values (57) 2085
37.0%
CJK
ValueCountFrequency (%)
文 14
14.9%
社 13
13.8%
東 10
10.6%
選 10
10.6%
出 8
 
8.5%
版 8
 
8.5%
新 3
 
3.2%
公 2
 
2.1%
光 2
 
2.1%
論 1
 
1.1%
Other values (23) 23
24.5%
Katakana
ValueCountFrequency (%)
ダ 1
8.3%
ヤ 1
8.3%
イ 1
8.3%
モ 1
8.3%
ド 1
8.3%
ン 1
8.3%
マ 1
8.3%
ポ 1
8.3%
プ 1
8.3%
ラ 1
8.3%
Other values (2) 2
16.7%
Compat Jamo
ValueCountFrequency (%)
ㅁ 1
100.0%

발행년
Real number (ℝ)

Distinct25
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2020.8586
Minimum1999
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.7 KiB
2024-04-17T21:59:53.327213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1999
5-th percentile2010
Q12021
median2022
Q32023
95-th percentile2023
Maximum2023
Range24
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.6479758
Coefficient of variation (CV)0.0018051614
Kurtosis7.283559
Mean2020.8586
Median Absolute Deviation (MAD)1
Skewness-2.6997115
Sum5415901
Variance13.307728
MonotonicityNot monotonic
2024-04-17T21:59:53.434735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
2023 1011
37.7%
2022 728
27.2%
2021 382
 
14.3%
2020 165
 
6.2%
2010 117
 
4.4%
2019 88
 
3.3%
2018 34
 
1.3%
2017 29
 
1.1%
2011 22
 
0.8%
2016 17
 
0.6%
Other values (15) 87
 
3.2%
ValueCountFrequency (%)
1999 1
 
< 0.1%
2000 1
 
< 0.1%
2001 5
 
0.2%
2002 1
 
< 0.1%
2003 3
 
0.1%
2004 3
 
0.1%
2005 1
 
< 0.1%
2006 4
 
0.1%
2007 15
0.6%
2008 3
 
0.1%
ValueCountFrequency (%)
2023 1011
37.7%
2022 728
27.2%
2021 382
 
14.3%
2020 165
 
6.2%
2019 88
 
3.3%
2018 34
 
1.3%
2017 29
 
1.1%
2016 17
 
0.6%
2015 14
 
0.5%
2014 15
 
0.6%

isbn
Real number (ℝ)

Distinct2586
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.7893858 × 1012
Minimum9.780008 × 1012
Maximum9.7911984 × 1012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.7 KiB
2024-04-17T21:59:53.553138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9.780008 × 1012
5-th percentile9.7814083 × 1012
Q19.7889509 × 1012
median9.791141 × 1012
Q39.7911879 × 1012
95-th percentile9.7911974 × 1012
Maximum9.7911984 × 1012
Range1.1190374 × 1010
Interquartile range (IQR)2.2369407 × 109

Descriptive statistics

Standard deviation2.9235305 × 109
Coefficient of variation (CV)0.00029864289
Kurtosis3.5864854
Mean9.7893858 × 1012
Median Absolute Deviation (MAD)56569256
Skewness-2.1288164
Sum2.6235554 × 1016
Variance8.5470304 × 1018
MonotonicityNot monotonic
2024-04-17T21:59:53.929735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9788927199052 14
 
0.5%
9791164798926 3
 
0.1%
9791168414822 3
 
0.1%
9791192579504 3
 
0.1%
9788934943082 3
 
0.1%
9791167140609 2
 
0.1%
9791158364083 2
 
0.1%
9791158364021 2
 
0.1%
9788901267289 2
 
0.1%
9788901268705 2
 
0.1%
Other values (2576) 2644
98.7%
ValueCountFrequency (%)
9780007977017 1
< 0.1%
9780007983964 1
< 0.1%
9780007983971 1
< 0.1%
9780007983988 1
< 0.1%
9780007983995 1
< 0.1%
9780007984008 1
< 0.1%
9780008164157 1
< 0.1%
9780008195892 1
< 0.1%
9780008204945 1
< 0.1%
9780008245382 1
< 0.1%
ValueCountFrequency (%)
9791198350909 1
< 0.1%
9791198334312 1
< 0.1%
9791198320100 1
< 0.1%
9791198301475 1
< 0.1%
9791198292841 1
< 0.1%
9791198284594 1
< 0.1%
9791198268730 1
< 0.1%
9791198262004 1
< 0.1%
9791198253897 1
< 0.1%
9791198243430 1
< 0.1%

Interactions

2024-04-17T21:59:49.547350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T21:59:49.085999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T21:59:49.320451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T21:59:49.638691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T21:59:49.164731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T21:59:49.393945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T21:59:49.725955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T21:59:49.240954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T21:59:49.466503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-17T21:59:54.008501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번자료실명발행년isbn
연번1.0000.7870.5050.505
자료실명0.7871.0000.3010.397
발행년0.5050.3011.0000.477
isbn0.5050.3970.4771.000
2024-04-17T21:59:54.087704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번발행년isbn자료실명
연번1.000-0.216-0.3100.671
발행년-0.2161.0000.3870.188
isbn-0.3100.3871.0000.275
자료실명0.6710.1880.2751.000

Missing values

2024-04-17T21:59:49.833007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-17T21:59:49.945996image/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

연번관리구분청구기호자료실명서명저작자발행자발행년isbn
01하남시위례도서관001-김65ㅅ위례_종합자료실생각의 시대 : 인류 문명을 만든 5가지 생각의 도구를 만나다김용규 지음김영사20209788934992332
12하남시위례도서관001.3-이25ㄴ위례_종합자료실나는 게임한다 고로 존재한다 : 청소년을 위한 게임 인문학 수업이동은 지음자음과모음20219788954447263
23하남시위례도서관004-니15ㅇ위례_종합자료실IT 5분 잡학사전 : 학교에서 알려 주지 않는 IT 지식니꼴라스, 배지현 [공]지음이지스퍼블리싱20229791163034001
34하남시위례도서관004.583-최54ㅅ위례_종합자료실싫었던 코딩이 좋아졌다최선경 지음아르카디아20239791198228901
45하남시위례도서관004.61-이65ㅅ위례_종합자료실사이버 공격 : 막느냐! 뚫리느냐! = Cyber attack이용석 지음상상미디어20209788988738818
56하남시위례도서관004.73-김76ㅈ위례_종합자료실진짜 챗GPT 활용법 : 엑셀 활용법부터 블로그 자동화, 유튜브 콘텐츠 생성, 미드저니와 ChatGPT API 사용법까지김준성, 유원준, 안상준 [공]지음위키북스20239791158394264
67하남시위례도서관004.73-김83ㅊ위례_종합자료실챗GPT와 글쓰기 : ChatGPT와 함께하는 AI 글쓰기 실전김철수 지음위키북스20239791158394233
78하남시위례도서관004.73-심73ㅊ위례_종합자료실챗GPT를 200% 활용하는 프롬프트 질문 기술 : '메타버스와 질문의 최고수'가 알려주는 챗GPT 프롬프트 질문의 비밀심재우 저자JinhanM&B:진한엠앤비20239791129046253
89하남시위례도서관004.73-이58ㅈ위례_종합자료실GPT 제너레이션 : 챗GPT가 바꿀 우리 인류의 미래이시한 지음북모먼트:책읽어주는남자20239791191891270
910하남시위례도서관001.3-이76ㅅ위례_종합자료실3분 차이이주한 글·그림뜰Book:꿈소담이20229791191134131
연번관리구분청구기호자료실명서명저작자발행자발행년isbn
26702671하남시위례도서관아372.42-김12ㅋ-45위례_어린이실쿠키런 서바이벌 대작전. 45, 진짜 쿠키 vs 가짜 쿠키 편 : 안전상식 학습만화김강현 글 ; 김기수 그림서울문화사20229791169231114
26712672하남시위례도서관아370-그293ㅊ위례_어린이실초등 필수 백과레베카 L. 그램보, 제인 파커 레스닉 [공]지음 ; 토니 탈라리코 그림 ; 곽정아 옮김삼성20229788915999879
26722673하남시위례도서관아331.544-박64ㅅ-2위례_어린이실(10대를 위한)세계미래보고서 2035-2055. [2], 기술편박영숙, 제롬 글렌 [공]지음교보문고20219791159098642
26732674하남시위례도서관아331.544-박64ㅅ-1위례_어린이실(10대를 위한)세계미래보고서 2035-2055. [1], 과학편박영숙, 제롬 글렌 [공]지음교보문고20219791159098659
26742675하남시위례도서관아331.54-박64세-4위례_어린이실10대를 위한 세계미래보고서 2035-2055. 4 : 새롭게 탄생할 미래 직업, 직업탐구박영숙, 제롬 글렌 [공] 지음교보문고:단행본20239791159098369
26752676하남시위례도서관아331.54-박64세-3위례_어린이실10대를 위한 세계미래보고서 2035-2055. 3 : 미리 가 본 미래 세상, 사회탐구박영숙, 제롬 글렌 [공] 지음교보문고:단행본20239791159098352
26762677하남시위례도서관아331.2-이18ㅁ위례_어린이실모두가 반대하고 외면해도 나는 찬성! : 올바른 세상을 위한 연대이기규 지음 ; 방상호 그림책내음20229791186771822
26772678하남시위례도서관아327.04-쭈198위례_어린이실2억 모아 스무 살에 독립할래요!쭈니맨 원작 ; 김미애 글 ; 이광일 그림위즈덤하우스20239791168125995
26782679하남시위례도서관아320.4-연66ㅇ위례_어린이실오늘은 용돈 버는 날 : 용돈을 똑똑하게 불리기 위한 첫걸음연유진 글 ; 간장 그림풀빛20229791161725376
26792680하남시위례도서관아320-최73ㅅ-2위례_어린이실세금 내는 아이들의 생생 경제 교실. 2최재훈 글 ; 안병현 그림샌드박스스토리20239791192504223