Overview

Dataset statistics

Number of variables6
Number of observations10000
Missing cells571
Missing cells (%)1.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory546.9 KiB
Average record size in memory56.0 B

Variable types

Categorical2
Text4

Dataset

Description전주시 내 12개 도서관 대출 가능한 도서목록에 대한 데이터로 등록번호, 서명, 저자명, 청구기호, 소장자료실 정보를 제공합니다.
Author전라북도
URLhttps://www.bigdatahub.go.kr/index.jeonbuk?startPage=10&menuCd=DOM_000000103007001000&pListTypeStr=&pId=3069075

Alerts

도서관명 is highly overall correlated with 자료실High correlation
자료실 is highly overall correlated with 도서관명High correlation
저자명 has 570 (5.7%) missing valuesMissing
등록번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 00:42:58.187047
Analysis finished2024-03-14 00:43:00.900138
Duration2.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

도서관명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
전주시립도서관꽃심
5359 
완산도서관
4641 

Length

Max length9
Median length9
Mean length7.1436
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전주시립도서관꽃심
2nd row전주시립도서관꽃심
3rd row완산도서관
4th row완산도서관
5th row전주시립도서관꽃심

Common Values

ValueCountFrequency (%)
전주시립도서관꽃심 5359
53.6%
완산도서관 4641
46.4%

Length

2024-03-14T09:43:00.962921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:43:01.059187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전주시립도서관꽃심 5359
53.6%
완산도서관 4641
46.4%

등록번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-14T09:43:01.266213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters120000
Distinct characters21
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10000 ?
Unique (%)100.0%

Sample

1st rowJL0000030709
2nd rowJL0000011639
3rd rowNM0000008058
4th rowEM0000059413
5th rowJL0000007133
ValueCountFrequency (%)
jl0000030709 1
 
< 0.1%
em0000019881 1
 
< 0.1%
em0000078315 1
 
< 0.1%
jl0000009721 1
 
< 0.1%
em0000101386 1
 
< 0.1%
jl0000001080 1
 
< 0.1%
jl0000005251 1
 
< 0.1%
em0000008341 1
 
< 0.1%
jl0000041781 1
 
< 0.1%
em0000109452 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-03-14T09:43:01.572144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 55158
46.0%
1 7003
 
5.8%
2 5861
 
4.9%
3 5687
 
4.7%
L 5359
 
4.5%
J 5286
 
4.4%
4 5084
 
4.2%
M 4573
 
3.8%
E 4491
 
3.7%
5 4363
 
3.6%
Other values (11) 17135
 
14.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 100000
83.3%
Uppercase Letter 20000
 
16.7%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
L 5359
26.8%
J 5286
26.4%
M 4573
22.9%
E 4491
22.5%
A 78
 
0.4%
T 62
 
0.3%
R 62
 
0.3%
N 60
 
0.3%
W 25
 
0.1%
U 3
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
0 55158
55.2%
1 7003
 
7.0%
2 5861
 
5.9%
3 5687
 
5.7%
4 5084
 
5.1%
5 4363
 
4.4%
8 4339
 
4.3%
6 4238
 
4.2%
9 4135
 
4.1%
7 4132
 
4.1%

Most occurring scripts

ValueCountFrequency (%)
Common 100000
83.3%
Latin 20000
 
16.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
L 5359
26.8%
J 5286
26.4%
M 4573
22.9%
E 4491
22.5%
A 78
 
0.4%
T 62
 
0.3%
R 62
 
0.3%
N 60
 
0.3%
W 25
 
0.1%
U 3
 
< 0.1%
Common
ValueCountFrequency (%)
0 55158
55.2%
1 7003
 
7.0%
2 5861
 
5.9%
3 5687
 
5.7%
4 5084
 
5.1%
5 4363
 
4.4%
8 4339
 
4.3%
6 4238
 
4.2%
9 4135
 
4.1%
7 4132
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 120000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 55158
46.0%
1 7003
 
5.8%
2 5861
 
4.9%
3 5687
 
4.7%
L 5359
 
4.5%
J 5286
 
4.4%
4 5084
 
4.2%
M 4573
 
3.8%
E 4491
 
3.7%
5 4363
 
3.6%
Other values (11) 17135
 
14.3%

서명
Text

Distinct9904
Distinct (%)99.0%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2024-03-14T09:43:01.897913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length124
Median length75
Mean length21.164716
Min length1

Characters and Unicode

Total characters211626
Distinct characters2724
Distinct categories15 ?
Distinct scripts6 ?
Distinct blocks12 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9814 ?
Unique (%)98.1%

Sample

1st row리더의 용기 : 대담하게 일하고, 냉정하게 대화하고, 매 순간 진심을 다하여
2nd row나는 누가 살다 간 여름일까 : 권대웅 시집
3rd row박동진의 적벽가. 6[비1186]
4th row변신[27113]
5th row도라에몽 [쿵A]. 33
ValueCountFrequency (%)
2896
 
6.3%
1 250
 
0.5%
장편소설 242
 
0.5%
2 227
 
0.5%
위한 197
 
0.4%
이야기 193
 
0.4%
내 133
 
0.3%
the 118
 
0.3%
지역작가 114
 
0.2%
만화 112
 
0.2%
Other values (23422) 41220
90.2%
2024-03-14T09:43:02.356621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
35724
 
16.9%
[ 5493
 
2.6%
] 5487
 
2.6%
1 4996
 
2.4%
2 4070
 
1.9%
3 3248
 
1.5%
의 3107
 
1.5%
: 3033
 
1.4%
. 2697
 
1.3%
이 2617
 
1.2%
Other values (2714) 141154
66.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 114411
54.1%
Space Separator 35724
 
16.9%
Decimal Number 28645
 
13.5%
Other Punctuation 8220
 
3.9%
Lowercase Letter 7344
 
3.5%
Open Punctuation 6596
 
3.1%
Close Punctuation 6588
 
3.1%
Uppercase Letter 2909
 
1.4%
Dash Punctuation 701
 
0.3%
Math Symbol 336
 
0.2%
Other values (5) 152
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 3107
 
2.7%
이 2617
 
2.3%
는 1971
 
1.7%
기 1500
 
1.3%
가 1466
 
1.3%
한 1356
 
1.2%
사 1324
 
1.2%
리 1302
 
1.1%
지 1254
 
1.1%
다 1151
 
1.0%
Other values (2590) 97363
85.1%
Lowercase Letter
ValueCountFrequency (%)
e 878
12.0%
o 686
 
9.3%
a 616
 
8.4%
n 528
 
7.2%
i 522
 
7.1%
t 519
 
7.1%
r 494
 
6.7%
s 473
 
6.4%
l 386
 
5.3%
h 332
 
4.5%
Other values (16) 1910
26.0%
Uppercase Letter
ValueCountFrequency (%)
S 335
 
11.5%
A 261
 
9.0%
T 208
 
7.2%
E 179
 
6.2%
C 168
 
5.8%
O 163
 
5.6%
D 147
 
5.1%
B 134
 
4.6%
P 131
 
4.5%
N 130
 
4.5%
Other values (16) 1053
36.2%
Other Punctuation
ValueCountFrequency (%)
: 3033
36.9%
. 2697
32.8%
, 1280
15.6%
! 395
 
4.8%
' 334
 
4.1%
; 214
 
2.6%
· 137
 
1.7%
＆ 36
 
0.4%
/ 24
 
0.3%
& 14
 
0.2%
Other values (9) 56
 
0.7%
Decimal Number
ValueCountFrequency (%)
1 4996
17.4%
2 4070
14.2%
3 3248
11.3%
0 2508
8.8%
6 2477
8.6%
9 2462
8.6%
5 2358
8.2%
4 2245
7.8%
7 2140
7.5%
8 2132
7.4%
Other values (4) 9
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅰ 50
37.3%
Ⅱ 40
29.9%
Ⅲ 15
 
11.2%
Ⅳ 8
 
6.0%
Ⅴ 4
 
3.0%
Ⅵ 4
 
3.0%
Ⅷ 3
 
2.2%
Ⅶ 3
 
2.2%
Ⅸ 2
 
1.5%
ⅹ 2
 
1.5%
Other values (3) 3
 
2.2%
Math Symbol
ValueCountFrequency (%)
= 250
74.4%
∼ 33
 
9.8%
+ 22
 
6.5%
~ 15
 
4.5%
< 6
 
1.8%
> 6
 
1.8%
× 4
 
1.2%
Open Punctuation
ValueCountFrequency (%)
[ 5493
83.3%
( 1092
 
16.6%
《 4
 
0.1%
『 4
 
0.1%
「 2
 
< 0.1%
（ 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
] 5487
83.3%
) 1090
 
16.5%
》 4
 
0.1%
』 4
 
0.1%
」 2
 
< 0.1%
） 1
 
< 0.1%
Modifier Symbol
ValueCountFrequency (%)
` 12
92.3%
˚ 1
 
7.7%
Space Separator
ValueCountFrequency (%)
35724
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 701
100.0%
Format
ValueCountFrequency (%)
­ 2
100.0%
Other Number
ValueCountFrequency (%)
½ 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 100175
47.3%
Common 86828
41.0%
Han 13883
 
6.6%
Latin 10387
 
4.9%
Hiragana 194
 
0.1%
Katakana 159
 
0.1%

Most frequent character per script

Han
ValueCountFrequency (%)
學 542
 
3.9%
國 348
 
2.5%
論 262
 
1.9%
史 247
 
1.8%
韓 239
 
1.7%
文 220
 
1.6%
集 215
 
1.5%
大 177
 
1.3%
全 149
 
1.1%
敎 141
 
1.0%
Other values (1248) 11343
81.7%
Hangul
ValueCountFrequency (%)
의 3107
 
3.1%
이 2617
 
2.6%
는 1971
 
2.0%
기 1500
 
1.5%
가 1466
 
1.5%
한 1356
 
1.4%
사 1324
 
1.3%
리 1302
 
1.3%
지 1254
 
1.3%
다 1151
 
1.1%
Other values (1241) 83127
83.0%
Latin
ValueCountFrequency (%)
e 878
 
8.5%
o 686
 
6.6%
a 616
 
5.9%
n 528
 
5.1%
i 522
 
5.0%
t 519
 
5.0%
r 494
 
4.8%
s 473
 
4.6%
l 386
 
3.7%
S 335
 
3.2%
Other values (55) 4950
47.7%
Common
ValueCountFrequency (%)
35724
41.1%
[ 5493
 
6.3%
] 5487
 
6.3%
1 4996
 
5.8%
2 4070
 
4.7%
3 3248
 
3.7%
: 3033
 
3.5%
. 2697
 
3.1%
0 2508
 
2.9%
6 2477
 
2.9%
Other values (49) 17095
19.7%
Katakana
ValueCountFrequency (%)
ン 11
 
6.9%
ト 8
 
5.0%
ル 8
 
5.0%
マ 8
 
5.0%
ズ 7
 
4.4%
シ 7
 
4.4%
イ 7
 
4.4%
リ 6
 
3.8%
ア 5
 
3.1%
カ 5
 
3.1%
Other values (43) 87
54.7%
Hiragana
ValueCountFrequency (%)
の 73
37.6%
と 29
 
14.9%
る 11
 
5.7%
に 9
 
4.6%
く 6
 
3.1%
を 6
 
3.1%
か 5
 
2.6%
な 4
 
2.1%
き 3
 
1.5%
ら 3
 
1.5%
Other values (28) 45
23.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 100156
47.3%
ASCII 96798
45.7%
CJK 13545
 
6.4%
CJK Compat Ideographs 338
 
0.2%
None 241
 
0.1%
Hiragana 194
 
0.1%
Katakana 159
 
0.1%
Number Forms 134
 
0.1%
Math Operators 33
 
< 0.1%
Compat Jamo 19
 
< 0.1%
Other values (2) 9
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
35724
36.9%
[ 5493
 
5.7%
] 5487
 
5.7%
1 4996
 
5.2%
2 4070
 
4.2%
3 3248
 
3.4%
: 3033
 
3.1%
. 2697
 
2.8%
0 2508
 
2.6%
6 2477
 
2.6%
Other values (76) 27065
28.0%
Hangul
ValueCountFrequency (%)
의 3107
 
3.1%
이 2617
 
2.6%
는 1971
 
2.0%
기 1500
 
1.5%
가 1466
 
1.5%
한 1356
 
1.4%
사 1324
 
1.3%
리 1302
 
1.3%
지 1254
 
1.3%
다 1151
 
1.1%
Other values (1234) 83108
83.0%
CJK
ValueCountFrequency (%)
學 542
 
4.0%
國 348
 
2.6%
論 262
 
1.9%
史 247
 
1.8%
韓 239
 
1.8%
文 220
 
1.6%
集 215
 
1.6%
大 177
 
1.3%
全 149
 
1.1%
敎 141
 
1.0%
Other values (1189) 11005
81.2%
None
ValueCountFrequency (%)
· 137
56.8%
＆ 36
 
14.9%
／ 11
 
4.6%
％ 11
 
4.6%
。 4
 
1.7%
《 4
 
1.7%
》 4
 
1.7%
『 4
 
1.7%
』 4
 
1.7%
０ 4
 
1.7%
Other values (12) 22
 
9.1%
Hiragana
ValueCountFrequency (%)
の 73
37.6%
と 29
 
14.9%
る 11
 
5.7%
に 9
 
4.6%
く 6
 
3.1%
を 6
 
3.1%
か 5
 
2.6%
な 4
 
2.1%
き 3
 
1.5%
ら 3
 
1.5%
Other values (28) 45
23.2%
CJK Compat Ideographs
ValueCountFrequency (%)
理 56
16.6%
歷 34
 
10.1%
論 26
 
7.7%
金 23
 
6.8%
力 17
 
5.0%
勞 17
 
5.0%
倫 13
 
3.8%
女 11
 
3.3%
六 11
 
3.3%
李 10
 
3.0%
Other values (49) 120
35.5%
Number Forms
ValueCountFrequency (%)
Ⅰ 50
37.3%
Ⅱ 40
29.9%
Ⅲ 15
 
11.2%
Ⅳ 8
 
6.0%
Ⅴ 4
 
3.0%
Ⅵ 4
 
3.0%
Ⅷ 3
 
2.2%
Ⅶ 3
 
2.2%
Ⅸ 2
 
1.5%
ⅹ 2
 
1.5%
Other values (3) 3
 
2.2%
Math Operators
ValueCountFrequency (%)
∼ 33
100.0%
Katakana
ValueCountFrequency (%)
ン 11
 
6.9%
ト 8
 
5.0%
ル 8
 
5.0%
マ 8
 
5.0%
ズ 7
 
4.4%
シ 7
 
4.4%
イ 7
 
4.4%
リ 6
 
3.8%
ア 5
 
3.1%
カ 5
 
3.1%
Other values (43) 87
54.7%
Punctuation
ValueCountFrequency (%)
… 8
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 7
36.8%
ㅇ 3
15.8%
ㄷ 2
 
10.5%
ㄴ 2
 
10.5%
ㄱ 2
 
10.5%
ㅎ 2
 
10.5%
ㅅ 1
 
5.3%
Modifier Letters
ValueCountFrequency (%)
˚ 1
100.0%

저자명
Text

MISSING 

Distinct8342
Distinct (%)88.5%
Missing570
Missing (%)5.7%
Memory size156.2 KiB
2024-03-14T09:43:02.607164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length98
Median length76
Mean length13.447296
Min length2

Characters and Unicode

Total characters126808
Distinct characters1998
Distinct categories13 ?
Distinct scripts6 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7673 ?
Unique (%)81.4%

Sample

1st row브레네 브라운 지음 ; 강주헌 옮김
2nd row권대웅 지음
3rd row월드와이드넷 [편]
4th row프란츠 카프카 저
5th row후지코 F 후지오 지음 ; 박종윤 번역
ValueCountFrequency (%)
5801
 
14.7%
지음 3382
 
8.6%
옮김 1972
 
5.0%
그림 1432
 
3.6%
저 1324
 
3.4%
著 1259
 
3.2%
글 1188
 
3.0%
역 556
 
1.4%
글·그림 413
 
1.0%
편 285
 
0.7%
Other values (12872) 21836
55.4%
2024-03-14T09:43:02.983069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30079
23.7%
; 5802
 
4.6%
지 4137
 
3.3%
김 3735
 
2.9%
음 3727
 
2.9%
이 2295
 
1.8%
그 2018
 
1.6%
옮 2016
 
1.6%
림 1968
 
1.6%
글 1710
 
1.3%
Other values (1988) 69321
54.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 81035
63.9%
Space Separator 30079
 
23.7%
Other Punctuation 6984
 
5.5%
Lowercase Letter 5373
 
4.2%
Uppercase Letter 1812
 
1.4%
Close Punctuation 695
 
0.5%
Open Punctuation 695
 
0.5%
Decimal Number 87
 
0.1%
Dash Punctuation 39
 
< 0.1%
Math Symbol 4
 
< 0.1%
Other values (3) 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 4137
 
5.1%
김 3735
 
4.6%
음 3727
 
4.6%
이 2295
 
2.8%
그 2018
 
2.5%
옮 2016
 
2.5%
림 1968
 
2.4%
글 1710
 
2.1%
저 1597
 
2.0%
著 1350
 
1.7%
Other values (1895) 56482
69.7%
Uppercase Letter
ValueCountFrequency (%)
M 153
 
8.4%
S 129
 
7.1%
J 114
 
6.3%
C 113
 
6.2%
A 110
 
6.1%
R 110
 
6.1%
D 99
 
5.5%
H 99
 
5.5%
B 98
 
5.4%
E 92
 
5.1%
Other values (17) 695
38.4%
Lowercase Letter
ValueCountFrequency (%)
e 589
11.0%
a 572
10.6%
r 444
 
8.3%
l 437
 
8.1%
i 428
 
8.0%
n 390
 
7.3%
t 337
 
6.3%
o 311
 
5.8%
y 263
 
4.9%
s 247
 
4.6%
Other values (16) 1355
25.2%
Other Punctuation
ValueCountFrequency (%)
; 5802
83.1%
. 574
 
8.2%
· 460
 
6.6%
, 103
 
1.5%
: 17
 
0.2%
/ 7
 
0.1%
" 6
 
0.1%
@ 4
 
0.1%
＆ 4
 
0.1%
… 3
 
< 0.1%
Other values (3) 4
 
0.1%
Decimal Number
ValueCountFrequency (%)
2 22
25.3%
0 17
19.5%
1 12
13.8%
3 12
13.8%
4 7
 
8.0%
5 5
 
5.7%
6 5
 
5.7%
9 4
 
4.6%
8 2
 
2.3%
7 1
 
1.1%
Close Punctuation
ValueCountFrequency (%)
] 635
91.4%
） 40
 
5.8%
) 14
 
2.0%
〉 5
 
0.7%
』 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
[ 635
91.4%
（ 40
 
5.8%
( 14
 
2.0%
〈 5
 
0.7%
『 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
< 2
50.0%
> 2
50.0%
Space Separator
ValueCountFrequency (%)
30079
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%
Control
ValueCountFrequency (%)
3
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%
Other Number
ValueCountFrequency (%)
½ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 71941
56.7%
Common 38587
30.4%
Han 8984
 
7.1%
Latin 7186
 
5.7%
Katakana 106
 
0.1%
Hiragana 4
 
< 0.1%

Most frequent character per script

Han
ValueCountFrequency (%)
著 1350
 
15.0%
編 273
 
3.0%
金 261
 
2.9%
李 224
 
2.5%
譯 149
 
1.7%
外 138
 
1.5%
會 127
 
1.4%
朴 106
 
1.2%
國 97
 
1.1%
文 78
 
0.9%
Other values (958) 6181
68.8%
Hangul
ValueCountFrequency (%)
지 4137
 
5.8%
김 3735
 
5.2%
음 3727
 
5.2%
이 2295
 
3.2%
그 2018
 
2.8%
옮 2016
 
2.8%
림 1968
 
2.7%
글 1710
 
2.4%
저 1597
 
2.2%
스 1120
 
1.6%
Other values (875) 47618
66.2%
Latin
ValueCountFrequency (%)
e 589
 
8.2%
a 572
 
8.0%
r 444
 
6.2%
l 437
 
6.1%
i 428
 
6.0%
n 390
 
5.4%
t 337
 
4.7%
o 311
 
4.3%
y 263
 
3.7%
s 247
 
3.4%
Other values (44) 3168
44.1%
Katakana
ValueCountFrequency (%)
ル 12
 
11.3%
イ 6
 
5.7%
ン 6
 
5.7%
レ 4
 
3.8%
タ 4
 
3.8%
ウ 4
 
3.8%
ラ 4
 
3.8%
ス 4
 
3.8%
ュ 3
 
2.8%
ゴ 3
 
2.8%
Other values (38) 56
52.8%
Common
ValueCountFrequency (%)
30079
78.0%
; 5802
 
15.0%
] 635
 
1.6%
[ 635
 
1.6%
. 574
 
1.5%
· 460
 
1.2%
, 103
 
0.3%
（ 40
 
0.1%
） 40
 
0.1%
- 39
 
0.1%
Other values (29) 180
 
0.5%
Hiragana
ValueCountFrequency (%)
の 1
25.0%
ん 1
25.0%
し 1
25.0%
つ 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 71940
56.7%
ASCII 45210
35.7%
CJK 8540
 
6.7%
None 559
 
0.4%
CJK Compat Ideographs 444
 
0.4%
Katakana 106
 
0.1%
Hiragana 4
 
< 0.1%
Punctuation 3
 
< 0.1%
Number Forms 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30079
66.5%
; 5802
 
12.8%
] 635
 
1.4%
[ 635
 
1.4%
e 589
 
1.3%
. 574
 
1.3%
a 572
 
1.3%
r 444
 
1.0%
l 437
 
1.0%
i 428
 
0.9%
Other values (70) 5015
 
11.1%
Hangul
ValueCountFrequency (%)
지 4137
 
5.8%
김 3735
 
5.2%
음 3727
 
5.2%
이 2295
 
3.2%
그 2018
 
2.8%
옮 2016
 
2.8%
림 1968
 
2.7%
글 1710
 
2.4%
저 1597
 
2.2%
스 1120
 
1.6%
Other values (874) 47617
66.2%
CJK
ValueCountFrequency (%)
著 1350
 
15.8%
編 273
 
3.2%
金 261
 
3.1%
譯 149
 
1.7%
外 138
 
1.6%
會 127
 
1.5%
朴 106
 
1.2%
國 97
 
1.1%
文 78
 
0.9%
韓 77
 
0.9%
Other values (908) 5884
68.9%
None
ValueCountFrequency (%)
· 460
82.3%
（ 40
 
7.2%
） 40
 
7.2%
〈 5
 
0.9%
〉 5
 
0.9%
＆ 4
 
0.7%
Ａ 1
 
0.2%
』 1
 
0.2%
½ 1
 
0.2%
『 1
 
0.2%
CJK Compat Ideographs
ValueCountFrequency (%)
李 224
50.5%
林 24
 
5.4%
龍 23
 
5.2%
柳 20
 
4.5%
烈 19
 
4.3%
劉 16
 
3.6%
盧 12
 
2.7%
沈 9
 
2.0%
梁 9
 
2.0%
綾 5
 
1.1%
Other values (40) 83
 
18.7%
Katakana
ValueCountFrequency (%)
ル 12
 
11.3%
イ 6
 
5.7%
ン 6
 
5.7%
レ 4
 
3.8%
タ 4
 
3.8%
ウ 4
 
3.8%
ラ 4
 
3.8%
ス 4
 
3.8%
ュ 3
 
2.8%
ゴ 3
 
2.8%
Other values (38) 56
52.8%
Punctuation
ValueCountFrequency (%)
… 3
100.0%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%
Hiragana
ValueCountFrequency (%)
の 1
25.0%
ん 1
25.0%
し 1
25.0%
つ 1
25.0%
Compat Jamo
ValueCountFrequency (%)
ㄴ 1
100.0%

청구기호
Text

Distinct9889
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-14T09:43:03.239936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length24
Mean length13.8991
Min length7

Characters and Unicode

Total characters138991
Distinct characters636
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

Unique9794 ?
Unique (%)97.9%

Sample

1st rowJG 325.24-브956ㄹ
2nd rowJG 811.708-문748-97
3rd row특 679.4-월554ㅂ-6
4th row082-카334ㅂ
5th rowJT 833.6-후889ㄷ2-33
ValueCountFrequency (%)
jg 3042
 
18.6%
jj 1182
 
7.2%
그 815
 
5.0%
경 397
 
2.4%
jt 163
 
1.0%
일 104
 
0.6%
je 103
 
0.6%
p 90
 
0.6%
t 77
 
0.5%
특 67
 
0.4%
Other values (9869) 10281
63.0%
2024-03-14T09:43:03.603878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 13185
 
9.5%
8 11698
 
8.4%
1 11014
 
7.9%
3 9775
 
7.0%
2 9258
 
6.7%
. 8336
 
6.0%
4 7178
 
5.2%
6 6919
 
5.0%
9 6804
 
4.9%
5 6367
 
4.6%
Other values (626) 48457
34.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 79364
57.1%
Other Letter 19358
 
13.9%
Dash Punctuation 13185
 
9.5%
Other Punctuation 9765
 
7.0%
Uppercase Letter 9438
 
6.8%
Space Separator 6331
 
4.6%
Math Symbol 1441
 
1.0%
Close Punctuation 50
 
< 0.1%
Open Punctuation 50
 
< 0.1%
Lowercase Letter 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ㅇ 1583
 
8.2%
ㅅ 1062
 
5.5%
김 889
 
4.6%
그 859
 
4.4%
ㄱ 850
 
4.4%
이 783
 
4.0%
ㅈ 662
 
3.4%
ㅎ 660
 
3.4%
ㅁ 490
 
2.5%
ㅂ 481
 
2.5%
Other values (582) 11039
57.0%
Uppercase Letter
ValueCountFrequency (%)
J 5802
61.5%
G 3055
32.4%
T 292
 
3.1%
E 113
 
1.2%
P 90
 
1.0%
L 26
 
0.3%
S 12
 
0.1%
M 9
 
0.1%
A 9
 
0.1%
B 5
 
0.1%
Other values (9) 25
 
0.3%
Decimal Number
ValueCountFrequency (%)
8 11698
14.7%
1 11014
13.9%
3 9775
12.3%
2 9258
11.7%
4 7178
9.0%
6 6919
8.7%
9 6804
8.6%
5 6367
8.0%
7 5561
7.0%
0 4790
6.0%
Other Punctuation
ValueCountFrequency (%)
. 8336
85.4%
' 1428
 
14.6%
, 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
= 1428
99.1%
∼ 12
 
0.8%
+ 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
c 5
71.4%
v 1
 
14.3%
s 1
 
14.3%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 13185
100.0%
Space Separator
ValueCountFrequency (%)
6331
100.0%
Close Punctuation
ValueCountFrequency (%)
) 50
100.0%
Open Punctuation
ValueCountFrequency (%)
( 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 110186
79.3%
Hangul 19290
 
13.9%
Latin 9447
 
6.8%
Han 68
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
ㅇ 1583
 
8.2%
ㅅ 1062
 
5.5%
김 889
 
4.6%
그 859
 
4.5%
ㄱ 850
 
4.4%
이 783
 
4.1%
ㅈ 662
 
3.4%
ㅎ 660
 
3.4%
ㅁ 490
 
2.5%
ㅂ 481
 
2.5%
Other values (578) 10971
56.9%
Latin
ValueCountFrequency (%)
J 5802
61.4%
G 3055
32.3%
T 292
 
3.1%
E 113
 
1.2%
P 90
 
1.0%
L 26
 
0.3%
S 12
 
0.1%
M 9
 
0.1%
A 9
 
0.1%
c 5
 
0.1%
Other values (14) 34
 
0.4%
Common
ValueCountFrequency (%)
- 13185
12.0%
8 11698
10.6%
1 11014
10.0%
3 9775
8.9%
2 9258
8.4%
. 8336
7.6%
4 7178
 
6.5%
6 6919
 
6.3%
9 6804
 
6.2%
5 6367
 
5.8%
Other values (10) 19652
17.8%
Han
ValueCountFrequency (%)
古 64
94.1%
上 2
 
2.9%
第 1
 
1.5%
卷 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 119619
86.1%
Hangul 11508
 
8.3%
Compat Jamo 7782
 
5.6%
CJK 68
 
< 0.1%
Math Operators 12
 
< 0.1%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 13185
11.0%
8 11698
9.8%
1 11014
 
9.2%
3 9775
 
8.2%
2 9258
 
7.7%
. 8336
 
7.0%
4 7178
 
6.0%
6 6919
 
5.8%
9 6804
 
5.7%
5 6367
 
5.3%
Other values (31) 29085
24.3%
Compat Jamo
ValueCountFrequency (%)
ㅇ 1583
20.3%
ㅅ 1062
13.6%
ㄱ 850
10.9%
ㅈ 662
8.5%
ㅎ 660
8.5%
ㅁ 490
 
6.3%
ㅂ 481
 
6.2%
ㄴ 479
 
6.2%
ㄷ 443
 
5.7%
ㅊ 308
 
4.0%
Other values (9) 764
9.8%
Hangul
ValueCountFrequency (%)
김 889
 
7.7%
그 859
 
7.5%
이 783
 
6.8%
경 419
 
3.6%
박 373
 
3.2%
정 273
 
2.4%
한 244
 
2.1%
조 177
 
1.5%
최 175
 
1.5%
전 163
 
1.4%
Other values (559) 7153
62.2%
CJK
ValueCountFrequency (%)
古 64
94.1%
上 2
 
2.9%
第 1
 
1.5%
卷 1
 
1.5%
Math Operators
ValueCountFrequency (%)
∼ 12
100.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%

자료실
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
완산보존서고
4083 
전주시립종합자료실
3092 
전주시립어린이자료실
2103 
완산보존서고(일서)
 
253
완산경로실
 
243
Other values (2)
 
226

Length

Max length11
Median length10
Mean length7.9215
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전주시립종합자료실
2nd row전주시립종합자료실
3rd row완산보존서고
4th row완산보존서고
5th row전주시립우주로1216

Common Values

ValueCountFrequency (%)
완산보존서고 4083
40.8%
전주시립종합자료실 3092
30.9%
전주시립어린이자료실 2103
21.0%
완산보존서고(일서) 253
 
2.5%
완산경로실 243
 
2.4%
전주시립우주로1216 164
 
1.6%
완산고문서 62
 
0.6%

Length

2024-03-14T09:43:03.712734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:43:03.795331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
완산보존서고 4083
40.8%
전주시립종합자료실 3092
30.9%
전주시립어린이자료실 2103
21.0%
완산보존서고(일서 253
 
2.5%
완산경로실 243
 
2.4%
전주시립우주로1216 164
 
1.6%
완산고문서 62
 
0.6%

Correlations

2024-03-14T09:43:03.858903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도서관명자료실
도서관명1.0001.000
자료실1.0001.000
2024-03-14T09:43:03.933885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도서관명자료실
도서관명1.0001.000
자료실1.0001.000
2024-03-14T09:43:04.038121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도서관명자료실
도서관명1.0001.000
자료실1.0001.000

Missing values

2024-03-14T09:43:00.626019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T09:43:00.716635image/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.
2024-03-14T09:43:00.832550image/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

도서관명등록번호서명저자명청구기호자료실
21335전주시립도서관꽃심JL0000030709리더의 용기 : 대담하게 일하고, 냉정하게 대화하고, 매 순간 진심을 다하여브레네 브라운 지음 ; 강주헌 옮김JG 325.24-브956ㄹ전주시립종합자료실
30308전주시립도서관꽃심JL0000011639나는 누가 살다 간 여름일까 : 권대웅 시집권대웅 지음JG 811.708-문748-97전주시립종합자료실
72285완산도서관NM0000008058박동진의 적벽가. 6[비1186]월드와이드넷 [편]특 679.4-월554ㅂ-6완산보존서고
62480완산도서관EM0000059413변신[27113]프란츠 카프카 저082-카334ㅂ완산보존서고
18224전주시립도서관꽃심JL0000007133도라에몽 [쿵A]. 33후지코 F 후지오 지음 ; 박종윤 번역JT 833.6-후889ㄷ2-33전주시립우주로1216
18253전주시립도서관꽃심JL0000007153처음 만나는 북유럽 신화 [곰H]'=Norse mythology이경덕 지음JT 219.23-이658ㅊ전주시립우주로1216
80113완산도서관EM0000000900아테네 가는배[12181]정소성 저813.6-정416ㅇ'=2완산보존서고
41625전주시립도서관꽃심JL0000036687모멘트 아케이드 : 제4회 한국과학문학상 수상작품집황모과 외 지음JG 813.6082-모552전주시립종합자료실
1298전주시립도서관꽃심JL0000016475스푸트니크호와 우주 개발 [만화]심재규 글 ; 위싱스타 그림JJ 909-세374-47전주시립어린이자료실
54904완산도서관EM0000023369사회 교육학 개론[31161]박노열 저378.01-박224ㅅ완산보존서고
도서관명등록번호서명저자명청구기호자료실
77199완산도서관EM0000034409빌딩.엘레멘트의 詳細淸水英男 著 ; 許東國 譯545-청258ㅂ'=2완산보존서고
84235완산도서관EM0000069599(昭和新纂)國譯大藏經;. 宗典部. 5卷[429]同編輯部 編경 223-국514ㅈ-5완산보존서고(일서)
67887완산도서관EM0000110468사랑의 정원[9227-9229]. 2:상처난 가슴에 피는 꽃아일린 굿지 지음 ; 김유곤 옮김T. 843.6-굿222ㅅ-2'=5완산보존서고
35664전주시립도서관꽃심JL0000035851(차트가 보이고 종목이 읽히는) 첫 주식 투자 공부유지윤 지음JG 327.856-유597ㅊ전주시립종합자료실
69058완산도서관EM0000133835유라시아 유목제국사[25865]르네 그루쎄 ; 김호동 외 공역912.6-그562ㅇ'=2완산보존서고
3984전주시립도서관꽃심JL0000017238(본격 대결 과학발명 만화) 내일은 발명왕[만화]. 8, 발명, 왜 하지곰돌이co. 글 ; 홍종현 그림JJ 507.5-내56-8전주시립어린이자료실
44552전주시립도서관꽃심JL0000043076독립일기. 2자까 지음 ; 자까 그림.JG 818-자114ㄷ-2전주시립종합자료실
72603완산도서관EM0000025714영화의 이해-이론과실제[14753]L. 쟈네티 지음 ; 김진해 옮김688.01-쟈228ㅇ완산보존서고
47041완산도서관EM0000098633各司謄錄[69501]. 84, 科學謄錄.2국사편찬위원회경 911.05-대52ㄱ-84완산경로실
19062전주시립도서관꽃심JL0000007441룬의 아이들 윈터러 [쿵C]'=Children of the Rune winterer : 전민희 장편 판타지. 2, 덫을 뚫고서, 폭풍 속에전민희 지음JT 813.7-전278ㄹ2-2전주시립우주로1216