Overview

Dataset statistics

Number of variables6
Number of observations9791
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory468.6 KiB
Average record size in memory49.0 B

Variable types

Numeric1
Text4
Categorical1

Dataset

Description부산광역시기장군_교리도서관신착자료현황_20230331
Author부산광역시 기장군
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15112602

Alerts

순번 is highly overall correlated with 자료실명High correlation
자료실명 is highly overall correlated with 순번High correlation
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:21:16.258544
Analysis finished2023-12-10 16:21:19.175219
Duration2.92 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct9791
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4896
Minimum1
Maximum9791
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.2 KiB
2023-12-11T01:21:19.270314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile490.5
Q12448.5
median4896
Q37343.5
95-th percentile9301.5
Maximum9791
Range9790
Interquartile range (IQR)4895

Descriptive statistics

Standard deviation2826.5626
Coefficient of variation (CV)0.57732079
Kurtosis-1.2
Mean4896
Median Absolute Deviation (MAD)2448
Skewness0
Sum47936736
Variance7989456
MonotonicityStrictly increasing
2023-12-11T01:21:19.423521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
6532 1
 
< 0.1%
6525 1
 
< 0.1%
6526 1
 
< 0.1%
6527 1
 
< 0.1%
6528 1
 
< 0.1%
6529 1
 
< 0.1%
6530 1
 
< 0.1%
6531 1
 
< 0.1%
6533 1
 
< 0.1%
Other values (9781) 9781
99.9%
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 (%)
9791 1
< 0.1%
9790 1
< 0.1%
9789 1
< 0.1%
9788 1
< 0.1%
9787 1
< 0.1%
9786 1
< 0.1%
9785 1
< 0.1%
9784 1
< 0.1%
9783 1
< 0.1%
9782 1
< 0.1%

서명
Text

Distinct9692
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size76.6 KiB
2023-12-11T01:21:19.909852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length91
Median length64
Mean length23.210091
Min length1

Characters and Unicode

Total characters227250
Distinct characters1637
Distinct categories17 ?
Distinct scripts5 ?
Distinct blocks13 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9612 ?
Unique (%)98.2%

Sample

1st row고전의 품격 : 동양고전에서 길어올린 지혜의 문장들
2nd row지적 대화를 위한 넓고 얕은 지식
3rd row지식인 복잡한 세상을 만나다 : 4차 산업혁명 시대의 지식인은 어떻게 달라져야 하는가
4th row책짓는 사람들 : 부산 출판 이야기
5th row작고 아름다운 동네 책방 이야기 : 서점은 꿈도 팔고 여행도 팔고 낭만도 판다
ValueCountFrequency (%)
5348
 
8.6%
장편소설 542
 
0.9%
이야기 425
 
0.7%
위한 332
 
0.5%
1 244
 
0.4%
내 241
 
0.4%
2 228
 
0.4%
우리 208
 
0.3%
나는 188
 
0.3%
시집 177
 
0.3%
Other values (22616) 53933
87.2%
2023-12-11T01:21:20.913349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
52093
 
22.9%
: 5350
 
2.4%
의 4489
 
2.0%
이 4395
 
1.9%
는 3759
 
1.7%
기 2468
 
1.1%
가 2269
 
1.0%
한 2185
 
1.0%
리 2176
 
1.0%
사 2159
 
1.0%
Other values (1627) 145907
64.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 154384
67.9%
Space Separator 52093
 
22.9%
Other Punctuation 9853
 
4.3%
Decimal Number 3922
 
1.7%
Lowercase Letter 3078
 
1.4%
Close Punctuation 1403
 
0.6%
Open Punctuation 1402
 
0.6%
Uppercase Letter 899
 
0.4%
Math Symbol 101
 
< 0.1%
Dash Punctuation 83
 
< 0.1%
Other values (7) 32
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 4489
 
2.9%
이 4395
 
2.8%
는 3759
 
2.4%
기 2468
 
1.6%
가 2269
 
1.5%
한 2185
 
1.4%
리 2176
 
1.4%
사 2159
 
1.4%
다 2096
 
1.4%
지 2000
 
1.3%
Other values (1509) 126388
81.9%
Lowercase Letter
ValueCountFrequency (%)
e 353
 
11.5%
o 284
 
9.2%
i 261
 
8.5%
a 261
 
8.5%
s 189
 
6.1%
n 185
 
6.0%
t 176
 
5.7%
r 172
 
5.6%
l 147
 
4.8%
h 140
 
4.5%
Other values (16) 910
29.6%
Uppercase Letter
ValueCountFrequency (%)
S 66
 
7.3%
T 62
 
6.9%
W 60
 
6.7%
D 58
 
6.5%
A 57
 
6.3%
I 51
 
5.7%
R 47
 
5.2%
B 46
 
5.1%
E 40
 
4.4%
C 38
 
4.2%
Other values (16) 374
41.6%
Other Punctuation
ValueCountFrequency (%)
: 5350
54.3%
, 1767
 
17.9%
. 1213
 
12.3%
! 589
 
6.0%
? 442
 
4.5%
· 215
 
2.2%
' 203
 
2.1%
& 25
 
0.3%
% 16
 
0.2%
; 7
 
0.1%
Other values (9) 26
 
0.3%
Decimal Number
ValueCountFrequency (%)
1 980
25.0%
0 698
17.8%
2 661
16.9%
3 345
 
8.8%
5 297
 
7.6%
4 278
 
7.1%
6 185
 
4.7%
8 165
 
4.2%
7 161
 
4.1%
9 152
 
3.9%
Letter Number
ValueCountFrequency (%)
Ⅰ 7
36.8%
Ⅱ 5
26.3%
Ⅶ 1
 
5.3%
Ⅵ 1
 
5.3%
Ⅴ 1
 
5.3%
Ⅳ 1
 
5.3%
Ⅲ 1
 
5.3%
Ⅷ 1
 
5.3%
Ⅸ 1
 
5.3%
Close Punctuation
ValueCountFrequency (%)
) 1264
90.1%
] 118
 
8.4%
』 15
 
1.1%
」 3
 
0.2%
》 2
 
0.1%
} 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
= 50
49.5%
~ 35
34.7%
+ 7
 
6.9%
× 6
 
5.9%
∼ 2
 
2.0%
｜ 1
 
1.0%
Open Punctuation
ValueCountFrequency (%)
( 1264
90.2%
[ 118
 
8.4%
『 15
 
1.1%
「 3
 
0.2%
《 2
 
0.1%
Other Symbol
ValueCountFrequency (%)
℃ 3
60.0%
○ 1
 
20.0%
□ 1
 
20.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
66.7%
˚ 1
33.3%
Space Separator
ValueCountFrequency (%)
52093
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 83
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Other Number
ValueCountFrequency (%)
₂ 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 153722
67.6%
Common 68870
30.3%
Latin 3996
 
1.8%
Han 658
 
0.3%
Hiragana 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 4489
 
2.9%
이 4395
 
2.9%
는 3759
 
2.4%
기 2468
 
1.6%
가 2269
 
1.5%
한 2185
 
1.4%
리 2176
 
1.4%
사 2159
 
1.4%
다 2096
 
1.4%
지 2000
 
1.3%
Other values (1284) 125726
81.8%
Han
ValueCountFrequency (%)
山 35
 
5.3%
釜 33
 
5.0%
機 23
 
3.5%
張 22
 
3.3%
遺 17
 
2.6%
蹟 16
 
2.4%
大 14
 
2.1%
地 14
 
2.1%
港 13
 
2.0%
都 13
 
2.0%
Other values (212) 458
69.6%
Latin
ValueCountFrequency (%)
e 353
 
8.8%
o 284
 
7.1%
i 261
 
6.5%
a 261
 
6.5%
s 189
 
4.7%
n 185
 
4.6%
t 176
 
4.4%
r 172
 
4.3%
l 147
 
3.7%
h 140
 
3.5%
Other values (51) 1828
45.7%
Common
ValueCountFrequency (%)
52093
75.6%
: 5350
 
7.8%
, 1767
 
2.6%
) 1264
 
1.8%
( 1264
 
1.8%
. 1213
 
1.8%
1 980
 
1.4%
0 698
 
1.0%
2 661
 
1.0%
! 589
 
0.9%
Other values (47) 2991
 
4.3%
Hiragana
ValueCountFrequency (%)
せ 2
50.0%
を 1
25.0%
ぁ 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 153716
67.6%
ASCII 72565
31.9%
CJK 647
 
0.3%
None 269
 
0.1%
Number Forms 19
 
< 0.1%
CJK Compat Ideographs 11
 
< 0.1%
Compat Jamo 6
 
< 0.1%
Punctuation 5
 
< 0.1%
Hiragana 4
 
< 0.1%
Letterlike Symbols 3
 
< 0.1%
Other values (3) 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
52093
71.8%
: 5350
 
7.4%
, 1767
 
2.4%
) 1264
 
1.7%
( 1264
 
1.7%
. 1213
 
1.7%
1 980
 
1.4%
0 698
 
1.0%
2 661
 
0.9%
! 589
 
0.8%
Other values (77) 6686
 
9.2%
Hangul
ValueCountFrequency (%)
의 4489
 
2.9%
이 4395
 
2.9%
는 3759
 
2.4%
기 2468
 
1.6%
가 2269
 
1.5%
한 2185
 
1.4%
리 2176
 
1.4%
사 2159
 
1.4%
다 2096
 
1.4%
지 2000
 
1.3%
Other values (1279) 125720
81.8%
None
ValueCountFrequency (%)
· 215
79.9%
』 15
 
5.6%
『 15
 
5.6%
× 6
 
2.2%
「 3
 
1.1%
」 3
 
1.1%
＆ 2
 
0.7%
《 2
 
0.7%
》 2
 
0.7%
％ 2
 
0.7%
Other values (4) 4
 
1.5%
CJK
ValueCountFrequency (%)
山 35
 
5.4%
釜 33
 
5.1%
機 23
 
3.6%
張 22
 
3.4%
遺 17
 
2.6%
蹟 16
 
2.5%
大 14
 
2.2%
地 14
 
2.2%
港 13
 
2.0%
都 13
 
2.0%
Other values (203) 447
69.1%
Number Forms
ValueCountFrequency (%)
Ⅰ 7
36.8%
Ⅱ 5
26.3%
Ⅶ 1
 
5.3%
Ⅵ 1
 
5.3%
Ⅴ 1
 
5.3%
Ⅳ 1
 
5.3%
Ⅲ 1
 
5.3%
Ⅷ 1
 
5.3%
Ⅸ 1
 
5.3%
Letterlike Symbols
ValueCountFrequency (%)
℃ 3
100.0%
Punctuation
ValueCountFrequency (%)
… 3
60.0%
‘ 1
 
20.0%
’ 1
 
20.0%
CJK Compat Ideographs
ValueCountFrequency (%)
林 2
18.2%
龍 2
18.2%
蘭 1
9.1%
理 1
9.1%
不 1
9.1%
宅 1
9.1%
論 1
9.1%
老 1
9.1%
良 1
9.1%
Compat Jamo
ValueCountFrequency (%)
ㅅ 2
33.3%
ㄷ 1
16.7%
ㄴ 1
16.7%
ㄱ 1
16.7%
ㅎ 1
16.7%
Hiragana
ValueCountFrequency (%)
せ 2
50.0%
を 1
25.0%
ぁ 1
25.0%
Math Operators
ValueCountFrequency (%)
∼ 2
100.0%
Geometric Shapes
ValueCountFrequency (%)
○ 1
50.0%
□ 1
50.0%
Modifier Letters
ValueCountFrequency (%)
˚ 1
100.0%

저작자
Text

Distinct8323
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Memory size76.6 KiB
2023-12-11T01:21:21.362994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length397
Median length238
Mean length15.767337
Min length2

Characters and Unicode

Total characters154378
Distinct characters1055
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7635 ?
Unique (%)78.0%

Sample

1st row이현구 지음
2nd row채사장 지음
3rd row완웨이강 지음 ; 이지은 옮김
4th row지은이: 지역출판 워크숍 B-lab 2기,강수인,구명서,권혁제,김지홍,박소영,박소희,박영미,박준혁,박진주,박현영,서영우,손희정,안나령,염수민,옥지민,이선화,이유진,이지은,임미화,장수빈,장진실,정수진,최수연,함태호
5th row이충열 지음
ValueCountFrequency (%)
6534
 
14.7%
지음 4976
 
11.2%
옮김 2999
 
6.7%
그림 2240
 
5.0%
글 1937
 
4.3%
지은이 1106
 
2.5%
글·그림 688
 
1.5%
옮긴이 431
 
1.0%
송도수 122
 
0.3%
번역 109
 
0.2%
Other values (11904) 23434
52.6%
2023-12-11T01:21:22.120304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
34810
22.5%
지 7111
 
4.6%
; 6528
 
4.2%
김 5614
 
3.6%
음 5263
 
3.4%
이 4850
 
3.1%
옮 3460
 
2.2%
그 3311
 
2.1%
림 3151
 
2.0%
글 2905
 
1.9%
Other values (1045) 77375
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 103835
67.3%
Space Separator 34810
 
22.5%
Other Punctuation 12689
 
8.2%
Lowercase Letter 1418
 
0.9%
Uppercase Letter 693
 
0.4%
Open Punctuation 424
 
0.3%
Close Punctuation 423
 
0.3%
Decimal Number 57
 
< 0.1%
Dash Punctuation 26
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 7111
 
6.8%
김 5614
 
5.4%
음 5263
 
5.1%
이 4850
 
4.7%
옮 3460
 
3.3%
그 3311
 
3.2%
림 3151
 
3.0%
글 2905
 
2.8%
은 1934
 
1.9%
정 1867
 
1.8%
Other values (961) 64369
62.0%
Uppercase Letter
ValueCountFrequency (%)
B 69
 
10.0%
S 67
 
9.7%
K 67
 
9.7%
J 59
 
8.5%
M 45
 
6.5%
A 43
 
6.2%
T 37
 
5.3%
E 36
 
5.2%
C 36
 
5.2%
D 30
 
4.3%
Other values (16) 204
29.4%
Lowercase Letter
ValueCountFrequency (%)
a 183
12.9%
e 139
 
9.8%
n 132
 
9.3%
i 130
 
9.2%
o 105
 
7.4%
t 87
 
6.1%
y 74
 
5.2%
r 67
 
4.7%
l 63
 
4.4%
u 60
 
4.2%
Other values (15) 378
26.7%
Other Punctuation
ValueCountFrequency (%)
; 6528
51.4%
: 2657
20.9%
, 2353
 
18.5%
· 807
 
6.4%
. 334
 
2.6%
? 4
 
< 0.1%
' 2
 
< 0.1%
/ 2
 
< 0.1%
＆ 1
 
< 0.1%
& 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
2 16
28.1%
1 12
21.1%
0 8
14.0%
8 5
 
8.8%
3 4
 
7.0%
6 3
 
5.3%
5 3
 
5.3%
4 2
 
3.5%
9 2
 
3.5%
7 2
 
3.5%
Open Punctuation
ValueCountFrequency (%)
[ 404
95.3%
( 13
 
3.1%
〈 6
 
1.4%
『 1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
] 403
95.3%
) 13
 
3.1%
〉 6
 
1.4%
』 1
 
0.2%
Math Symbol
ValueCountFrequency (%)
< 1
50.0%
> 1
50.0%
Space Separator
ValueCountFrequency (%)
34810
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Other Symbol
ValueCountFrequency (%)
ⓔ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 103512
67.1%
Common 48432
31.4%
Latin 2111
 
1.4%
Han 323
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 7111
 
6.9%
김 5614
 
5.4%
음 5263
 
5.1%
이 4850
 
4.7%
옮 3460
 
3.3%
그 3311
 
3.2%
림 3151
 
3.0%
글 2905
 
2.8%
은 1934
 
1.9%
정 1867
 
1.8%
Other values (887) 64046
61.9%
Han
ValueCountFrequency (%)
編 30
 
9.3%
釜 17
 
5.3%
山 17
 
5.3%
市 15
 
4.6%
纂 13
 
4.0%
會 12
 
3.7%
委 12
 
3.7%
史 12
 
3.7%
員 12
 
3.7%
廣 12
 
3.7%
Other values (64) 171
52.9%
Latin
ValueCountFrequency (%)
a 183
 
8.7%
e 139
 
6.6%
n 132
 
6.3%
i 130
 
6.2%
o 105
 
5.0%
t 87
 
4.1%
y 74
 
3.5%
B 69
 
3.3%
S 67
 
3.2%
K 67
 
3.2%
Other values (41) 1058
50.1%
Common
ValueCountFrequency (%)
34810
71.9%
; 6528
 
13.5%
: 2657
 
5.5%
, 2353
 
4.9%
· 807
 
1.7%
[ 404
 
0.8%
] 403
 
0.8%
. 334
 
0.7%
- 26
 
0.1%
2 16
 
< 0.1%
Other values (23) 94
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 103511
67.1%
ASCII 49720
32.2%
None 822
 
0.5%
CJK 321
 
0.2%
CJK Compat Ideographs 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%
Enclosed Alphanum 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
34810
70.0%
; 6528
 
13.1%
: 2657
 
5.3%
, 2353
 
4.7%
[ 404
 
0.8%
] 403
 
0.8%
. 334
 
0.7%
a 183
 
0.4%
e 139
 
0.3%
n 132
 
0.3%
Other values (67) 1777
 
3.6%
Hangul
ValueCountFrequency (%)
지 7111
 
6.9%
김 5614
 
5.4%
음 5263
 
5.1%
이 4850
 
4.7%
옮 3460
 
3.3%
그 3311
 
3.2%
림 3151
 
3.0%
글 2905
 
2.8%
은 1934
 
1.9%
정 1867
 
1.8%
Other values (886) 64045
61.9%
None
ValueCountFrequency (%)
· 807
98.2%
〈 6
 
0.7%
〉 6
 
0.7%
＆ 1
 
0.1%
『 1
 
0.1%
』 1
 
0.1%
CJK
ValueCountFrequency (%)
編 30
 
9.3%
釜 17
 
5.3%
山 17
 
5.3%
市 15
 
4.7%
纂 13
 
4.0%
會 12
 
3.7%
委 12
 
3.7%
史 12
 
3.7%
員 12
 
3.7%
廣 12
 
3.7%
Other values (62) 169
52.6%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
龍 1
50.0%
金 1
50.0%
Enclosed Alphanum
ValueCountFrequency (%)
ⓔ 1
100.0%

발행자
Text

Distinct2777
Distinct (%)28.4%
Missing0
Missing (%)0.0%
Memory size76.6 KiB
2023-12-11T01:21:22.544940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length33
Mean length5.4034317
Min length1

Characters and Unicode

Total characters52905
Distinct characters818
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1554 ?
Unique (%)15.9%

Sample

1st row문화문고
2nd row한빛비즈
3rd row애플북스 :비전비엔피
4th row부산 콘텐츠코리아 랩 :빨간집
5th row마음의숲
ValueCountFrequency (%)
문학동네 266
 
2.4%
창비 206
 
1.9%
위즈덤하우스 182
 
1.6%
민음사 142
 
1.3%
서울문화사 136
 
1.2%
비룡소 111
 
1.0%
김영사 111
 
1.0%
주니어김영사 100
 
0.9%
사계절 84
 
0.8%
무지개 81
 
0.7%
Other values (2754) 9699
87.2%
2023-12-11T01:21:23.152079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 1841
 
3.5%
사 1598
 
3.0%
북 1361
 
2.6%
1337
 
2.5%
이 1262
 
2.4%
: 1202
 
2.3%
어 983
 
1.9%
문 954
 
1.8%
아 774
 
1.5%
비 664
 
1.3%
Other values (808) 40929
77.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 44852
84.8%
Lowercase Letter 3018
 
5.7%
Space Separator 1337
 
2.5%
Other Punctuation 1313
 
2.5%
Uppercase Letter 1254
 
2.4%
Open Punctuation 436
 
0.8%
Close Punctuation 434
 
0.8%
Decimal Number 257
 
0.5%
Dash Punctuation 3
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 1841
 
4.1%
사 1598
 
3.6%
북 1361
 
3.0%
이 1262
 
2.8%
어 983
 
2.2%
문 954
 
2.1%
아 774
 
1.7%
비 664
 
1.5%
학 654
 
1.5%
리 614
 
1.4%
Other values (727) 34147
76.1%
Lowercase Letter
ValueCountFrequency (%)
o 495
16.4%
e 311
10.3%
s 250
 
8.3%
i 225
 
7.5%
n 216
 
7.2%
a 202
 
6.7%
r 198
 
6.6%
k 181
 
6.0%
t 135
 
4.5%
l 132
 
4.4%
Other values (16) 673
22.3%
Uppercase Letter
ValueCountFrequency (%)
B 190
15.2%
H 134
10.7%
K 132
10.5%
R 121
 
9.6%
M 88
 
7.0%
A 70
 
5.6%
P 69
 
5.5%
S 55
 
4.4%
O 51
 
4.1%
I 41
 
3.3%
Other values (16) 303
24.2%
Other Punctuation
ValueCountFrequency (%)
: 1202
91.5%
. 26
 
2.0%
& 26
 
2.0%
; 17
 
1.3%
# 13
 
1.0%
· 7
 
0.5%
' 5
 
0.4%
! 5
 
0.4%
, 5
 
0.4%
＇ 2
 
0.2%
Other values (3) 5
 
0.4%
Decimal Number
ValueCountFrequency (%)
2 107
41.6%
1 101
39.3%
6 12
 
4.7%
0 12
 
4.7%
3 9
 
3.5%
4 8
 
3.1%
5 5
 
1.9%
9 2
 
0.8%
8 1
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 429
98.4%
[ 7
 
1.6%
Close Punctuation
ValueCountFrequency (%)
) 428
98.6%
] 6
 
1.4%
Space Separator
ValueCountFrequency (%)
1337
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 44619
84.3%
Latin 4272
 
8.1%
Common 3780
 
7.1%
Han 234
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 1841
 
4.1%
사 1598
 
3.6%
북 1361
 
3.1%
이 1262
 
2.8%
어 983
 
2.2%
문 954
 
2.1%
아 774
 
1.7%
비 664
 
1.5%
학 654
 
1.5%
리 614
 
1.4%
Other values (670) 33914
76.0%
Han
ValueCountFrequency (%)
山 15
 
6.4%
市 13
 
5.6%
釜 13
 
5.6%
文 13
 
5.6%
化 13
 
5.6%
院 12
 
5.1%
究 11
 
4.7%
硏 11
 
4.7%
財 10
 
4.3%
廣 9
 
3.8%
Other values (48) 114
48.7%
Latin
ValueCountFrequency (%)
o 495
 
11.6%
e 311
 
7.3%
s 250
 
5.9%
i 225
 
5.3%
n 216
 
5.1%
a 202
 
4.7%
r 198
 
4.6%
B 190
 
4.4%
k 181
 
4.2%
t 135
 
3.2%
Other values (42) 1869
43.8%
Common
ValueCountFrequency (%)
1337
35.4%
: 1202
31.8%
( 429
 
11.3%
) 428
 
11.3%
2 107
 
2.8%
1 101
 
2.7%
. 26
 
0.7%
& 26
 
0.7%
; 17
 
0.4%
# 13
 
0.3%
Other values (18) 94
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 44618
84.3%
ASCII 8041
 
15.2%
CJK 234
 
0.4%
None 12
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 1841
 
4.1%
사 1598
 
3.6%
북 1361
 
3.1%
이 1262
 
2.8%
어 983
 
2.2%
문 954
 
2.1%
아 774
 
1.7%
비 664
 
1.5%
학 654
 
1.5%
리 614
 
1.4%
Other values (669) 33913
76.0%
ASCII
ValueCountFrequency (%)
1337
16.6%
: 1202
14.9%
o 495
 
6.2%
( 429
 
5.3%
) 428
 
5.3%
e 311
 
3.9%
s 250
 
3.1%
i 225
 
2.8%
n 216
 
2.7%
a 202
 
2.5%
Other values (67) 2946
36.6%
CJK
ValueCountFrequency (%)
山 15
 
6.4%
市 13
 
5.6%
釜 13
 
5.6%
文 13
 
5.6%
化 13
 
5.6%
院 12
 
5.1%
究 11
 
4.7%
硏 11
 
4.7%
財 10
 
4.3%
廣 9
 
3.8%
Other values (48) 114
48.7%
None
ValueCountFrequency (%)
· 7
58.3%
＇ 2
 
16.7%
＆ 2
 
16.7%
㈜ 1
 
8.3%

발행년
Text

Distinct60
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size76.6 KiB
2023-12-11T01:21:23.384424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length4
Mean length4.0123583
Min length3

Characters and Unicode

Total characters39285
Distinct characters26
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)0.2%

Sample

1st row2014
2nd row2015
3rd row2018
4th row2018
5th row2016
ValueCountFrequency (%)
2021 1300
13.3%
2020 1245
12.7%
2019 990
10.1%
2017 914
9.3%
2018 847
8.6%
2014 846
8.6%
2015 742
7.6%
2016 725
7.4%
2022 640
6.5%
2013 549
5.6%
Other values (47) 999
10.2%
2023-12-11T01:21:23.789277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 14064
35.8%
0 11384
29.0%
1 7637
19.4%
9 1133
 
2.9%
7 956
 
2.4%
8 896
 
2.3%
4 862
 
2.2%
5 763
 
1.9%
3 763
 
1.9%
6 761
 
1.9%
Other values (16) 66
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 39219
99.8%
Close Punctuation 20
 
0.1%
Open Punctuation 20
 
0.1%
Other Letter 16
 
< 0.1%
Space Separator 6
 
< 0.1%
Dash Punctuation 3
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 14064
35.9%
0 11384
29.0%
1 7637
19.5%
9 1133
 
2.9%
7 956
 
2.4%
8 896
 
2.3%
4 862
 
2.2%
5 763
 
1.9%
3 763
 
1.9%
6 761
 
1.9%
Other Letter
ValueCountFrequency (%)
쇄 8
50.0%
실 1
 
6.2%
은 1
 
6.2%
序 1
 
6.2%
발 1
 
6.2%
행 1
 
6.2%
년 1
 
6.2%
불 1
 
6.2%
명 1
 
6.2%
Close Punctuation
ValueCountFrequency (%)
) 10
50.0%
] 10
50.0%
Open Punctuation
ValueCountFrequency (%)
[ 10
50.0%
( 10
50.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 39269
> 99.9%
Hangul 15
 
< 0.1%
Han 1
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
2 14064
35.8%
0 11384
29.0%
1 7637
19.4%
9 1133
 
2.9%
7 956
 
2.4%
8 896
 
2.3%
4 862
 
2.2%
5 763
 
1.9%
3 763
 
1.9%
6 761
 
1.9%
Other values (7) 50
 
0.1%
Hangul
ValueCountFrequency (%)
쇄 8
53.3%
실 1
 
6.7%
은 1
 
6.7%
발 1
 
6.7%
행 1
 
6.7%
년 1
 
6.7%
불 1
 
6.7%
명 1
 
6.7%
Han
ValueCountFrequency (%)
序 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 39269
> 99.9%
Hangul 15
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 14064
35.8%
0 11384
29.0%
1 7637
19.4%
9 1133
 
2.9%
7 956
 
2.4%
8 896
 
2.3%
4 862
 
2.2%
5 763
 
1.9%
3 763
 
1.9%
6 761
 
1.9%
Other values (7) 50
 
0.1%
Hangul
ValueCountFrequency (%)
쇄 8
53.3%
실 1
 
6.7%
은 1
 
6.7%
발 1
 
6.7%
행 1
 
6.7%
년 1
 
6.7%
불 1
 
6.7%
명 1
 
6.7%
CJK
ValueCountFrequency (%)
序 1
100.0%

자료실명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size76.6 KiB
[교리도서관]종합자료실
6406 
[교리도서관]어린이자료실
3382 
[교리도서관]보존서고
 
3

Length

Max length13
Median length12
Mean length12.345113
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row[교리도서관]종합자료실
2nd row[교리도서관]종합자료실
3rd row[교리도서관]종합자료실
4th row[교리도서관]종합자료실
5th row[교리도서관]종합자료실

Common Values

ValueCountFrequency (%)
[교리도서관]종합자료실 6406
65.4%
[교리도서관]어린이자료실 3382
34.5%
[교리도서관]보존서고 3
 
< 0.1%

Length

2023-12-11T01:21:24.018056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:21:24.177724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
교리도서관]종합자료실 6406
65.4%
교리도서관]어린이자료실 3382
34.5%
교리도서관]보존서고 3
 
< 0.1%

Interactions

2023-12-11T01:21:18.760847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:21:24.281908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번발행년자료실명
순번1.0000.6380.727
발행년0.6381.0000.349
자료실명0.7270.3491.000
2023-12-11T01:21:24.408753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번자료실명
순번1.0000.591
자료실명0.5911.000

Missing values

2023-12-11T01:21:18.947707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:21:19.100420image/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

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