Overview

Dataset statistics

Number of variables6
Number of observations10000
Missing cells106
Missing cells (%)0.2%
Duplicate rows150
Duplicate rows (%)1.5%
Total size in memory546.9 KiB
Average record size in memory56.0 B

Variable types

Categorical1
Text3
DateTime2

Dataset

Description충청남도 천안시 중앙도서관 외 7개 도서관 및 원성2동작은도서관 외 14개 작은도서관의 신착도서 건수 항목의 정보를 제공합니다.
Author충청남도 천안시
URLhttps://www.data.go.kr/data/3040229/fileData.do

Alerts

Dataset has 150 (1.5%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-12 23:50:01.607963
Analysis finished2023-12-12 23:50:03.582981
Duration1.98 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리구분
Categorical

Distinct23
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
두정도서관
4247 
청수도서관
1073 
천안시중앙도서관
827 
신방도서관
772 
쌍용도서관
766 
Other values (18)
2315 

Length

Max length11
Median length5
Mean length5.5762
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row쌍용도서관
2nd row도솔도서관
3rd row천안시중앙도서관
4th row천안시중앙도서관
5th row두정도서관

Common Values

ValueCountFrequency (%)
두정도서관 4247
42.5%
청수도서관 1073
 
10.7%
천안시중앙도서관 827
 
8.3%
신방도서관 772
 
7.7%
쌍용도서관 766
 
7.7%
도솔도서관 630
 
6.3%
성거도서관 513
 
5.1%
아우내도서관 280
 
2.8%
중앙동작은도서관 172
 
1.7%
신안동작은도서관 105
 
1.1%
Other values (13) 615
 
6.2%

Length

2023-12-13T08:50:03.636317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
두정도서관 4247
42.5%
청수도서관 1073
 
10.7%
천안시중앙도서관 827
 
8.3%
신방도서관 772
 
7.7%
쌍용도서관 766
 
7.7%
도솔도서관 630
 
6.3%
성거도서관 513
 
5.1%
아우내도서관 280
 
2.8%
중앙동작은도서관 172
 
1.7%
신안동작은도서관 105
 
1.1%
Other values (13) 615
 
6.2%

서명
Text

Distinct9145
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T08:50:03.917849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length111
Median length79
Mean length19.1027
Min length1

Characters and Unicode

Total characters191027
Distinct characters1852
Distinct categories18 ?
Distinct scripts6 ?
Distinct blocks13 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8562 ?
Unique (%)85.6%

Sample

1st row(말투 하나로 적을 만들지 않는)어른의 말공부
2nd row누가 인공지능을 두려워하나?
3rd row푸른수염:월터 크레인 고전 명작 그림책
4th row대상관계 심리치료 실제:사례로 보는 치료 안내서
5th rowIs it just me?
ValueCountFrequency (%)
이야기 275
 
0.6%
위한 268
 
0.6%
the 260
 
0.6%
장편소설 196
 
0.4%
내 151
 
0.3%
우리 134
 
0.3%
of 122
 
0.3%
나는 121
 
0.3%
121
 
0.3%
and 105
 
0.2%
Other values (20501) 42342
96.0%
2023-12-13T08:50:04.559237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36141
 
18.9%
의 3529
 
1.8%
이 3373
 
1.8%
: 3274
 
1.7%
는 2765
 
1.4%
e 2301
 
1.2%
기 1921
 
1.0%
가 1779
 
0.9%
한 1716
 
0.9%
리 1666
 
0.9%
Other values (1842) 132562
69.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 120256
63.0%
Space Separator 36145
 
18.9%
Lowercase Letter 18184
 
9.5%
Other Punctuation 5737
 
3.0%
Uppercase Letter 4745
 
2.5%
Decimal Number 2487
 
1.3%
Close Punctuation 1437
 
0.8%
Open Punctuation 1436
 
0.8%
Math Symbol 441
 
0.2%
Dash Punctuation 121
 
0.1%
Other values (8) 38
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 3529
 
2.9%
이 3373
 
2.8%
는 2765
 
2.3%
기 1921
 
1.6%
가 1779
 
1.5%
한 1716
 
1.4%
리 1666
 
1.4%
사 1636
 
1.4%
지 1563
 
1.3%
아 1454
 
1.2%
Other values (1717) 98854
82.2%
Lowercase Letter
ValueCountFrequency (%)
e 2301
12.7%
a 1532
 
8.4%
o 1500
 
8.2%
i 1386
 
7.6%
t 1325
 
7.3%
n 1287
 
7.1%
r 1284
 
7.1%
s 1154
 
6.3%
l 854
 
4.7%
h 852
 
4.7%
Other values (16) 4709
25.9%
Uppercase Letter
ValueCountFrequency (%)
T 428
 
9.0%
A 360
 
7.6%
S 326
 
6.9%
E 288
 
6.1%
I 276
 
5.8%
M 276
 
5.8%
O 264
 
5.6%
C 254
 
5.4%
R 236
 
5.0%
G 229
 
4.8%
Other values (16) 1808
38.1%
Other Punctuation
ValueCountFrequency (%)
: 3274
57.1%
, 960
 
16.7%
! 490
 
8.5%
? 381
 
6.6%
· 171
 
3.0%
. 170
 
3.0%
' 149
 
2.6%
& 45
 
0.8%
/ 20
 
0.3%
＆ 19
 
0.3%
Other values (13) 58
 
1.0%
Decimal Number
ValueCountFrequency (%)
1 636
25.6%
0 626
25.2%
2 318
12.8%
5 200
 
8.0%
3 199
 
8.0%
9 148
 
6.0%
4 118
 
4.7%
6 94
 
3.8%
8 78
 
3.1%
7 70
 
2.8%
Math Symbol
ValueCountFrequency (%)
= 376
85.3%
~ 28
 
6.3%
+ 21
 
4.8%
× 5
 
1.1%
∼ 3
 
0.7%
| 2
 
0.5%
< 2
 
0.5%
> 2
 
0.5%
＞ 1
 
0.2%
＜ 1
 
0.2%
Other Number
ValueCountFrequency (%)
① 2
25.0%
⑦ 1
12.5%
⑥ 1
12.5%
⑤ 1
12.5%
④ 1
12.5%
③ 1
12.5%
② 1
12.5%
Open Punctuation
ValueCountFrequency (%)
( 1380
96.1%
[ 45
 
3.1%
「 5
 
0.3%
《 5
 
0.3%
『 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1382
96.2%
] 45
 
3.1%
》 5
 
0.3%
」 5
 
0.3%
Letter Number
ValueCountFrequency (%)
Ⅱ 3
42.9%
Ⅰ 2
28.6%
Ⅳ 1
 
14.3%
ⅹ 1
 
14.3%
Space Separator
ValueCountFrequency (%)
36141
> 99.9%
　 4
 
< 0.1%
Modifier Symbol
ValueCountFrequency (%)
` 8
80.0%
´ 2
 
20.0%
Dash Punctuation
ValueCountFrequency (%)
- 121
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 5
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 1
100.0%
Other Symbol
ValueCountFrequency (%)
★ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 118868
62.2%
Common 47835
25.0%
Latin 22936
 
12.0%
Han 1363
 
0.7%
Katakana 14
 
< 0.1%
Hiragana 11
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 3529
 
3.0%
이 3373
 
2.8%
는 2765
 
2.3%
기 1921
 
1.6%
가 1779
 
1.5%
한 1716
 
1.4%
리 1666
 
1.4%
사 1636
 
1.4%
지 1563
 
1.3%
아 1454
 
1.2%
Other values (1228) 97466
82.0%
Han
ValueCountFrequency (%)
國 49
 
3.6%
學 44
 
3.2%
韓 41
 
3.0%
史 27
 
2.0%
究 18
 
1.3%
硏 17
 
1.2%
書 17
 
1.2%
論 16
 
1.2%
文 16
 
1.2%
代 16
 
1.2%
Other values (458) 1102
80.9%
Common
ValueCountFrequency (%)
36141
75.6%
: 3274
 
6.8%
) 1382
 
2.9%
( 1380
 
2.9%
, 960
 
2.0%
1 636
 
1.3%
0 626
 
1.3%
! 490
 
1.0%
? 381
 
0.8%
= 376
 
0.8%
Other values (59) 2189
 
4.6%
Latin
ValueCountFrequency (%)
e 2301
 
10.0%
a 1532
 
6.7%
o 1500
 
6.5%
i 1386
 
6.0%
t 1325
 
5.8%
n 1287
 
5.6%
r 1284
 
5.6%
s 1154
 
5.0%
l 854
 
3.7%
h 852
 
3.7%
Other values (46) 9461
41.2%
Katakana
ValueCountFrequency (%)
キ 2
14.3%
ル 2
14.3%
ト 2
14.3%
チ 1
7.1%
ポ 1
7.1%
グ 1
7.1%
ッ 1
7.1%
バ 1
7.1%
ィ 1
7.1%
テ 1
7.1%
Hiragana
ValueCountFrequency (%)
ろ 2
18.2%
ひ 1
9.1%
び 1
9.1%
と 1
9.1%
の 1
9.1%
な 1
9.1%
き 1
9.1%
が 1
9.1%
ち 1
9.1%
た 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 118851
62.2%
ASCII 70491
36.9%
CJK 1332
 
0.7%
None 251
 
0.1%
CJK Compat Ideographs 31
 
< 0.1%
Compat Jamo 17
 
< 0.1%
Katakana 14
 
< 0.1%
Hiragana 11
 
< 0.1%
Punctuation 10
 
< 0.1%
Enclosed Alphanum 8
 
< 0.1%
Other values (3) 11
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36141
51.3%
: 3274
 
4.6%
e 2301
 
3.3%
a 1532
 
2.2%
o 1500
 
2.1%
i 1386
 
2.0%
) 1382
 
2.0%
( 1380
 
2.0%
t 1325
 
1.9%
n 1287
 
1.8%
Other values (79) 18983
26.9%
Hangul
ValueCountFrequency (%)
의 3529
 
3.0%
이 3373
 
2.8%
는 2765
 
2.3%
기 1921
 
1.6%
가 1779
 
1.5%
한 1716
 
1.4%
리 1666
 
1.4%
사 1636
 
1.4%
지 1563
 
1.3%
아 1454
 
1.2%
Other values (1222) 97449
82.0%
None
ValueCountFrequency (%)
· 171
68.1%
＆ 19
 
7.6%
％ 7
 
2.8%
！ 7
 
2.8%
「 5
 
2.0%
？ 5
 
2.0%
× 5
 
2.0%
》 5
 
2.0%
《 5
 
2.0%
」 5
 
2.0%
Other values (10) 17
 
6.8%
CJK
ValueCountFrequency (%)
國 49
 
3.7%
學 44
 
3.3%
韓 41
 
3.1%
史 27
 
2.0%
究 18
 
1.4%
硏 17
 
1.3%
書 17
 
1.3%
論 16
 
1.2%
文 16
 
1.2%
代 16
 
1.2%
Other values (440) 1071
80.4%
Punctuation
ValueCountFrequency (%)
’ 5
50.0%
‘ 4
40.0%
… 1
 
10.0%
Compat Jamo
ValueCountFrequency (%)
ㅅ 4
23.5%
ㄱ 3
17.6%
ㄷ 3
17.6%
ㄴ 3
17.6%
ㅎ 2
11.8%
ㆍ 2
11.8%
CJK Compat Ideographs
ValueCountFrequency (%)
理 4
12.9%
李 4
12.9%
論 3
 
9.7%
金 3
 
9.7%
歷 2
 
6.5%
宅 2
 
6.5%
六 2
 
6.5%
烈 1
 
3.2%
樂 1
 
3.2%
勞 1
 
3.2%
Other values (8) 8
25.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
42.9%
Ⅰ 2
28.6%
Ⅳ 1
 
14.3%
ⅹ 1
 
14.3%
Math Operators
ValueCountFrequency (%)
∼ 3
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
① 2
25.0%
⑦ 1
12.5%
⑥ 1
12.5%
⑤ 1
12.5%
④ 1
12.5%
③ 1
12.5%
② 1
12.5%
Katakana
ValueCountFrequency (%)
キ 2
14.3%
ル 2
14.3%
ト 2
14.3%
チ 1
7.1%
ポ 1
7.1%
グ 1
7.1%
ッ 1
7.1%
バ 1
7.1%
ィ 1
7.1%
テ 1
7.1%
Hiragana
ValueCountFrequency (%)
ろ 2
18.2%
ひ 1
9.1%
び 1
9.1%
と 1
9.1%
の 1
9.1%
な 1
9.1%
き 1
9.1%
が 1
9.1%
ち 1
9.1%
た 1
9.1%
Misc Symbols
ValueCountFrequency (%)
★ 1
100.0%

저자
Text

Distinct8592
Distinct (%)86.0%
Missing7
Missing (%)0.1%
Memory size156.2 KiB
2023-12-13T08:50:04.864881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length200
Median length127
Mean length14.672371
Min length2

Characters and Unicode

Total characters146621
Distinct characters1311
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7688 ?
Unique (%)76.9%

Sample

1st row사이토 다카시 지음 황미숙 옮김
2nd row토마스 람게 지음 이수영,한종혜 [공]옮김
3rd row샤를 페로 지음 바로이북 편집부
4th rowAllan G. Frankland 저 김진숙 역
5th rowMiranda Hart
ValueCountFrequency (%)
지음 4869
 
12.8%
옮김 2723
 
7.1%
그림 2039
 
5.3%
글 1575
 
4.1%
by 776
 
2.0%
저 478
 
1.3%
글·그림 417
 
1.1%
illustrated 185
 
0.5%
엮음 166
 
0.4%
편 152
 
0.4%
Other values (13644) 24798
65.0%
2023-12-13T08:50:05.360178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28580
 
19.5%
지 5916
 
4.0%
음 5306
 
3.6%
김 5013
 
3.4%
이 3068
 
2.1%
옮 2804
 
1.9%
그 2777
 
1.9%
림 2666
 
1.8%
글 2334
 
1.6%
, 1912
 
1.3%
Other values (1301) 86245
58.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 91096
62.1%
Space Separator 28582
 
19.5%
Lowercase Letter 18152
 
12.4%
Uppercase Letter 3967
 
2.7%
Other Punctuation 3560
 
2.4%
Close Punctuation 575
 
0.4%
Open Punctuation 575
 
0.4%
Dash Punctuation 55
 
< 0.1%
Decimal Number 41
 
< 0.1%
Math Symbol 16
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 5916
 
6.5%
음 5306
 
5.8%
김 5013
 
5.5%
이 3068
 
3.4%
옮 2804
 
3.1%
그 2777
 
3.0%
림 2666
 
2.9%
글 2334
 
2.6%
스 1413
 
1.6%
정 1380
 
1.5%
Other values (1215) 58419
64.1%
Uppercase Letter
ValueCountFrequency (%)
S 370
 
9.3%
M 310
 
7.8%
J 280
 
7.1%
A 268
 
6.8%
B 244
 
6.2%
R 240
 
6.0%
C 221
 
5.6%
L 208
 
5.2%
D 196
 
4.9%
T 186
 
4.7%
Other values (17) 1444
36.4%
Lowercase Letter
ValueCountFrequency (%)
a 1899
10.5%
e 1888
10.4%
r 1487
 
8.2%
i 1416
 
7.8%
t 1381
 
7.6%
l 1309
 
7.2%
n 1283
 
7.1%
y 1136
 
6.3%
o 995
 
5.5%
b 935
 
5.2%
Other values (16) 4423
24.4%
Other Punctuation
ValueCountFrequency (%)
, 1912
53.7%
. 860
24.2%
· 533
 
15.0%
: 224
 
6.3%
& 14
 
0.4%
' 8
 
0.2%
? 4
 
0.1%
＆ 3
 
0.1%
＇ 1
 
< 0.1%
/ 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 12
29.3%
2 8
19.5%
3 6
14.6%
8 5
12.2%
5 4
 
9.8%
0 2
 
4.9%
6 2
 
4.9%
4 1
 
2.4%
9 1
 
2.4%
Math Symbol
ValueCountFrequency (%)
| 11
68.8%
> 2
 
12.5%
< 2
 
12.5%
+ 1
 
6.2%
Close Punctuation
ValueCountFrequency (%)
] 453
78.8%
) 121
 
21.0%
》 1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
[ 453
78.8%
( 121
 
21.0%
《 1
 
0.2%
Space Separator
ValueCountFrequency (%)
28580
> 99.9%
　 2
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 55
100.0%
Control
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 90189
61.5%
Common 33406
 
22.8%
Latin 22119
 
15.1%
Han 907
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 5916
 
6.6%
음 5306
 
5.9%
김 5013
 
5.6%
이 3068
 
3.4%
옮 2804
 
3.1%
그 2777
 
3.1%
림 2666
 
3.0%
글 2334
 
2.6%
스 1413
 
1.6%
정 1380
 
1.5%
Other values (885) 57512
63.8%
Han
ValueCountFrequency (%)
著 96
 
10.6%
編 39
 
4.3%
金 27
 
3.0%
國 26
 
2.9%
李 25
 
2.8%
會 22
 
2.4%
譯 19
 
2.1%
共 16
 
1.8%
史 16
 
1.8%
員 14
 
1.5%
Other values (320) 607
66.9%
Latin
ValueCountFrequency (%)
a 1899
 
8.6%
e 1888
 
8.5%
r 1487
 
6.7%
i 1416
 
6.4%
t 1381
 
6.2%
l 1309
 
5.9%
n 1283
 
5.8%
y 1136
 
5.1%
o 995
 
4.5%
b 935
 
4.2%
Other values (43) 8390
37.9%
Common
ValueCountFrequency (%)
28580
85.6%
, 1912
 
5.7%
. 860
 
2.6%
· 533
 
1.6%
] 453
 
1.4%
[ 453
 
1.4%
: 224
 
0.7%
) 121
 
0.4%
( 121
 
0.4%
- 55
 
0.2%
Other values (23) 94
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 90187
61.5%
ASCII 54983
37.5%
CJK 865
 
0.6%
None 542
 
0.4%
CJK Compat Ideographs 42
 
< 0.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
28580
52.0%
, 1912
 
3.5%
a 1899
 
3.5%
e 1888
 
3.4%
r 1487
 
2.7%
i 1416
 
2.6%
t 1381
 
2.5%
l 1309
 
2.4%
n 1283
 
2.3%
y 1136
 
2.1%
Other values (69) 12692
23.1%
Hangul
ValueCountFrequency (%)
지 5916
 
6.6%
음 5306
 
5.9%
김 5013
 
5.6%
이 3068
 
3.4%
옮 2804
 
3.1%
그 2777
 
3.1%
림 2666
 
3.0%
글 2334
 
2.6%
스 1413
 
1.6%
정 1380
 
1.5%
Other values (883) 57510
63.8%
None
ValueCountFrequency (%)
· 533
98.3%
＆ 3
 
0.6%
　 2
 
0.4%
＇ 1
 
0.2%
Ø 1
 
0.2%
《 1
 
0.2%
》 1
 
0.2%
CJK
ValueCountFrequency (%)
著 96
 
11.1%
編 39
 
4.5%
金 27
 
3.1%
國 26
 
3.0%
會 22
 
2.5%
譯 19
 
2.2%
共 16
 
1.8%
史 16
 
1.8%
員 14
 
1.6%
委 14
 
1.6%
Other values (309) 576
66.6%
CJK Compat Ideographs
ValueCountFrequency (%)
李 25
59.5%
林 3
 
7.1%
柳 3
 
7.1%
歷 2
 
4.8%
龍 2
 
4.8%
羅 2
 
4.8%
陸 1
 
2.4%
廉 1
 
2.4%
劉 1
 
2.4%
亮 1
 
2.4%
Compat Jamo
ValueCountFrequency (%)
ㄷ 1
50.0%
ㆍ 1
50.0%

출판사
Text

Distinct3794
Distinct (%)38.0%
Missing10
Missing (%)0.1%
Memory size156.2 KiB
2023-12-13T08:50:05.680915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length39
Mean length5.5983984
Min length1

Characters and Unicode

Total characters55928
Distinct characters904
Distinct categories12 ?
Distinct scripts5 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2358 ?
Unique (%)23.6%

Sample

1st row비즈니스북스
2nd row다섯수레
3rd row바로이북
4th row학지사
5th rowHodder & Stoughton
ValueCountFrequency (%)
books 139
 
1.2%
문학동네 104
 
0.9%
위즈덤하우스 96
 
0.8%
창비 95
 
0.8%
비룡소 88
 
0.8%
press 87
 
0.8%
김영사 77
 
0.7%
문학과지성사 60
 
0.5%
scholastic 57
 
0.5%
민음사 53
 
0.5%
Other values (3657) 10516
92.5%
2023-12-13T08:50:06.134720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1876
 
3.4%
사 1693
 
3.0%
스 1451
 
2.6%
o 1264
 
2.3%
북 1222
 
2.2%
이 1147
 
2.1%
s 874
 
1.6%
문 873
 
1.6%
e 865
 
1.5%
어 786
 
1.4%
Other values (894) 43877
78.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 40106
71.7%
Lowercase Letter 9391
 
16.8%
Uppercase Letter 3109
 
5.6%
Space Separator 1876
 
3.4%
Other Punctuation 792
 
1.4%
Close Punctuation 226
 
0.4%
Open Punctuation 226
 
0.4%
Decimal Number 182
 
0.3%
Dash Punctuation 11
 
< 0.1%
Math Symbol 6
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 1693
 
4.2%
스 1451
 
3.6%
북 1222
 
3.0%
이 1147
 
2.9%
문 873
 
2.2%
어 786
 
2.0%
아 751
 
1.9%
학 634
 
1.6%
리 589
 
1.5%
판 552
 
1.4%
Other values (810) 30408
75.8%
Lowercase Letter
ValueCountFrequency (%)
o 1264
13.5%
s 874
 
9.3%
e 865
 
9.2%
r 775
 
8.3%
i 743
 
7.9%
n 678
 
7.2%
a 673
 
7.2%
l 513
 
5.5%
t 371
 
4.0%
k 325
 
3.5%
Other values (16) 2310
24.6%
Uppercase Letter
ValueCountFrequency (%)
B 377
12.1%
S 312
 
10.0%
P 245
 
7.9%
H 243
 
7.8%
R 208
 
6.7%
C 203
 
6.5%
M 179
 
5.8%
A 154
 
5.0%
K 137
 
4.4%
N 131
 
4.2%
Other values (16) 920
29.6%
Other Punctuation
ValueCountFrequency (%)
: 600
75.8%
. 49
 
6.2%
& 47
 
5.9%
＆ 31
 
3.9%
, 24
 
3.0%
' 23
 
2.9%
· 9
 
1.1%
# 5
 
0.6%
@ 1
 
0.1%
! 1
 
0.1%
Other values (2) 2
 
0.3%
Decimal Number
ValueCountFrequency (%)
2 92
50.5%
1 69
37.9%
0 5
 
2.7%
9 5
 
2.7%
4 4
 
2.2%
3 2
 
1.1%
8 2
 
1.1%
5 1
 
0.5%
6 1
 
0.5%
7 1
 
0.5%
Close Punctuation
ValueCountFrequency (%)
) 222
98.2%
] 4
 
1.8%
Open Punctuation
ValueCountFrequency (%)
( 222
98.2%
[ 4
 
1.8%
Math Symbol
ValueCountFrequency (%)
+ 5
83.3%
∑ 1
 
16.7%
Space Separator
ValueCountFrequency (%)
1876
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 39718
71.0%
Latin 12500
 
22.4%
Common 3321
 
5.9%
Han 382
 
0.7%
Katakana 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 1693
 
4.3%
스 1451
 
3.7%
북 1222
 
3.1%
이 1147
 
2.9%
문 873
 
2.2%
어 786
 
2.0%
아 751
 
1.9%
학 634
 
1.6%
리 589
 
1.5%
판 552
 
1.4%
Other values (680) 30020
75.6%
Han
ValueCountFrequency (%)
社 50
 
13.1%
文 27
 
7.1%
國 18
 
4.7%
學 14
 
3.7%
大 11
 
2.9%
法 10
 
2.6%
英 9
 
2.4%
會 9
 
2.4%
史 8
 
2.1%
委 8
 
2.1%
Other values (114) 218
57.1%
Latin
ValueCountFrequency (%)
o 1264
 
10.1%
s 874
 
7.0%
e 865
 
6.9%
r 775
 
6.2%
i 743
 
5.9%
n 678
 
5.4%
a 673
 
5.4%
l 513
 
4.1%
B 377
 
3.0%
t 371
 
3.0%
Other values (42) 5367
42.9%
Common
ValueCountFrequency (%)
1876
56.5%
: 600
 
18.1%
) 222
 
6.7%
( 222
 
6.7%
2 92
 
2.8%
1 69
 
2.1%
. 49
 
1.5%
& 47
 
1.4%
＆ 31
 
0.9%
, 24
 
0.7%
Other values (21) 89
 
2.7%
Katakana
ValueCountFrequency (%)
エ 1
14.3%
ク 1
14.3%
ス 1
14.3%
ナ 1
14.3%
レ 1
14.3%
ッ 1
14.3%
ジ 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 39711
71.0%
ASCII 15779
 
28.2%
CJK 380
 
0.7%
None 42
 
0.1%
Katakana 7
 
< 0.1%
Compat Jamo 6
 
< 0.1%
CJK Compat Ideographs 2
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1876
 
11.9%
o 1264
 
8.0%
s 874
 
5.5%
e 865
 
5.5%
r 775
 
4.9%
i 743
 
4.7%
n 678
 
4.3%
a 673
 
4.3%
: 600
 
3.8%
l 513
 
3.3%
Other values (69) 6918
43.8%
Hangul
ValueCountFrequency (%)
사 1693
 
4.3%
스 1451
 
3.7%
북 1222
 
3.1%
이 1147
 
2.9%
문 873
 
2.2%
어 786
 
2.0%
아 751
 
1.9%
학 634
 
1.6%
리 589
 
1.5%
판 552
 
1.4%
Other values (676) 30013
75.6%
CJK
ValueCountFrequency (%)
社 50
 
13.2%
文 27
 
7.1%
國 18
 
4.7%
學 14
 
3.7%
大 11
 
2.9%
法 10
 
2.6%
英 9
 
2.4%
會 9
 
2.4%
史 8
 
2.1%
委 8
 
2.1%
Other values (112) 216
56.8%
None
ValueCountFrequency (%)
＆ 31
73.8%
· 9
 
21.4%
㈜ 1
 
2.4%
＇ 1
 
2.4%
Compat Jamo
ValueCountFrequency (%)
ㄴ 2
33.3%
ㅅ 2
33.3%
ㅁ 2
33.3%
CJK Compat Ideographs
ValueCountFrequency (%)
金 1
50.0%
阮 1
50.0%
Katakana
ValueCountFrequency (%)
エ 1
14.3%
ク 1
14.3%
ス 1
14.3%
ナ 1
14.3%
レ 1
14.3%
ッ 1
14.3%
ジ 1
14.3%
Math Operators
ValueCountFrequency (%)
∑ 1
100.0%

등록일자
Date

Distinct171
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2021-01-04 00:00:00
Maximum2021-09-24 00:00:00
2023-12-13T08:50:06.270864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:50:06.408552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

배가일자
Date

Distinct209
Distinct (%)2.1%
Missing89
Missing (%)0.9%
Memory size156.2 KiB
Minimum2000-01-01 00:00:00
Maximum2021-09-24 00:00:00
2023-12-13T08:50:06.541718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:50:06.669584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Missing values

2023-12-13T08:50:03.335827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:50:03.430768image/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.
2023-12-13T08:50:03.533621image/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

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28971쌍용도서관(말투 하나로 적을 만들지 않는)어른의 말공부사이토 다카시 지음 황미숙 옮김비즈니스북스2021-05-312021-06-21
17576도솔도서관누가 인공지능을 두려워하나?토마스 람게 지음 이수영,한종혜 [공]옮김다섯수레2021-04-162021-04-20
44414천안시중앙도서관푸른수염:월터 크레인 고전 명작 그림책샤를 페로 지음 바로이북 편집부바로이북2021-08-312021-08-31
5640천안시중앙도서관대상관계 심리치료 실제:사례로 보는 치료 안내서Allan G. Frankland 저 김진숙 역학지사2021-02-242021-02-26
24207두정도서관Is it just me?Miranda HartHodder & Stoughton2021-05-132021-06-05
52361두정도서관일본 私小說의 이해이토 세이 외 지음 유은경 옮김小花2021-09-162021-09-16
57721두정도서관맹꽁이 서당윤승운 글·그림웅진주니어2021-09-162021-09-16
56973두정도서관(초보자를 위한)한글 WINDOW XP PROFESSIONAL:21일 완성JOHN PAUL MUELLER 저 윤석헌 역인포북2021-09-162021-09-16
19058청수도서관Exileby Shannon MessengerAladdin2021-04-202021-05-11
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45675두정도서관(THE EXECUTIVE GUIDE TO)ASIA-PACIFIC COMMUNICATIONSDavid L. J-| |amesKodansha America2021-09-152021-09-15
23982천안시중앙도서관귤이:서진현 그림책서지현 지음책읽는곰2021-05-122021-05-25
2415아우내도서관탈출! 노틸러스호:옐로우 큐의 살아있는 과학 박물관윤자영 글 해마 그림안녕로빈2021-01-272021-01-28
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53237두정도서관스티븐 호킹:장애를 딛고 일어선 물리학자이숙재 글 김소영 그림월드베스트2021-09-162021-09-16
33205신방도서관이불 속 클래식 콘서트나웅준 지음페이스메이커2021-06-032021-06-15
43532쌍용도서관의식을 넘어서 :니사르가닷따 마하라지와의 대담스리 니사르가닷따 마하라지 말씀 진 던 外 기록·편집 대성 편역탐구사2021-08-192021-09-02
49769두정도서관언니정정희중앙 M＆B2021-09-152021-09-15
18994청수도서관How would you survive as a polar bear? [AR : MG 6.1 ]written by David Stewart illustrated by David AntramFranklin Watts2021-04-202021-05-11
67152두정도서관나는 오드리야!데이브 와먼드 글·그림 최용은 옮김키즈엠2021-09-162021-09-16

Duplicate rows

Most frequently occurring

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126중앙동작은도서관신의 물방울:와이드판Tadashi Agi 글 Shu Okimoto 그림 설은미 옮김학산문화사2021-07-092021-07-096
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113중앙동작은도서관궁박소희 지음서울문화사2021-07-092021-07-095
117중앙동작은도서관너에게 닿기를Karuho Shiina 저 서수진 역대원씨아이2021-07-092021-07-095
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