Overview

Dataset statistics

Number of variables29
Number of observations7152
Missing cells7379
Missing cells (%)3.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 MiB
Average record size in memory246.0 B

Variable types

Text7
Numeric5
Categorical12
DateTime5

Dataset

Description충청북도 행정간행물홈페이지내의 도서대여목록 테이블 정보입니다.(저작자, 서명, 대출책키, 청구기호, 별치기호, 분류기호, 대출일, 반납일 등)
URLhttps://www.data.go.kr/data/15039144/fileData.do

Alerts

분류기호구분 has constant value ""Constant
관리구분 has constant value ""Constant
회원구분 has constant value ""Constant
발행형태구분 has constant value ""Constant
등록구분 has constant value ""Constant
반납연기횟수 is highly imbalanced (97.7%)Imbalance
대출자소속코드 is highly imbalanced (71.8%)Imbalance
배상비 is highly imbalanced (87.8%)Imbalance
반납형태 is highly imbalanced (87.8%)Imbalance
대출자료실 is highly imbalanced (91.2%)Imbalance
대출상태 is highly imbalanced (87.8%)Imbalance
반납연기부여일 has 7136 (99.8%) missing valuesMissing
마지막작업 has 119 (1.7%) missing valuesMissing
반납일 has 119 (1.7%) missing valuesMissing
대출책의키 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:00:21.358652
Analysis finished2023-12-12 12:00:23.740845
Duration2.38 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

저작자
Text

Distinct1749
Distinct (%)24.5%
Missing5
Missing (%)0.1%
Memory size56.0 KiB
2023-12-12T21:00:24.058381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length40
Mean length11.24122
Min length2

Characters and Unicode

Total characters80341
Distinct characters643
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

Unique719 ?
Unique (%)10.1%

Sample

1st row코르넬리아 슈바르츠 ; 슈테판 슈바르츠 [공] 지음 ; 서유리 옮김
2nd row쇼너시 비숍 스톨 지음 ; 임지연 옮김
3rd row유영제 지음
4th row채수찬 엮음
5th row흔한남매 원작 ; 백난도 글 ; 유난희 그림
ValueCountFrequency (%)
지음 3424
 
14.0%
3378
 
13.8%
옮김 1193
 
4.9%
그림 862
 
3.5%
글 518
 
2.1%
역 380
 
1.6%
글·그림 223
 
0.9%
공]글 217
 
0.9%
원작 211
 
0.9%
공]지음 205
 
0.8%
Other values (2581) 13805
56.5%
2023-12-12T21:00:24.677737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18450
23.0%
지 3914
 
4.9%
음 3698
 
4.6%
; 3374
 
4.2%
김 2641
 
3.3%
이 1772
 
2.2%
그 1213
 
1.5%
옮 1209
 
1.5%
림 1200
 
1.5%
글 1071
 
1.3%
Other values (633) 41799
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 54706
68.1%
Space Separator 18450
 
23.0%
Other Punctuation 4276
 
5.3%
Lowercase Letter 1038
 
1.3%
Close Punctuation 642
 
0.8%
Open Punctuation 642
 
0.8%
Uppercase Letter 497
 
0.6%
Math Symbol 64
 
0.1%
Decimal Number 25
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 3914
 
7.2%
음 3698
 
6.8%
김 2641
 
4.8%
이 1772
 
3.2%
그 1213
 
2.2%
옮 1209
 
2.2%
림 1200
 
2.2%
글 1071
 
2.0%
정 994
 
1.8%
영 816
 
1.5%
Other values (568) 36178
66.1%
Uppercase Letter
ValueCountFrequency (%)
M 75
15.1%
A 72
14.5%
J 70
14.1%
K 60
12.1%
B 35
7.0%
C 31
6.2%
S 30
 
6.0%
T 25
 
5.0%
P 19
 
3.8%
E 17
 
3.4%
Other values (12) 63
12.7%
Lowercase Letter
ValueCountFrequency (%)
i 169
16.3%
u 135
13.0%
a 102
9.8%
t 94
9.1%
s 90
8.7%
r 83
8.0%
h 83
8.0%
d 74
7.1%
c 64
 
6.2%
e 42
 
4.0%
Other values (11) 102
9.8%
Other Punctuation
ValueCountFrequency (%)
; 3374
78.9%
, 427
 
10.0%
· 253
 
5.9%
. 216
 
5.1%
: 4
 
0.1%
& 2
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
2 6
24.0%
0 6
24.0%
1 5
20.0%
5 4
16.0%
8 3
12.0%
9 1
 
4.0%
Close Punctuation
ValueCountFrequency (%)
] 604
94.1%
) 35
 
5.5%
〉 3
 
0.5%
Open Punctuation
ValueCountFrequency (%)
[ 604
94.1%
( 35
 
5.5%
〈 3
 
0.5%
Math Symbol
ValueCountFrequency (%)
> 32
50.0%
< 32
50.0%
Space Separator
ValueCountFrequency (%)
18450
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 54702
68.1%
Common 24100
30.0%
Latin 1535
 
1.9%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 3914
 
7.2%
음 3698
 
6.8%
김 2641
 
4.8%
이 1772
 
3.2%
그 1213
 
2.2%
옮 1209
 
2.2%
림 1200
 
2.2%
글 1071
 
2.0%
정 994
 
1.8%
영 816
 
1.5%
Other values (564) 36174
66.1%
Latin
ValueCountFrequency (%)
i 169
 
11.0%
u 135
 
8.8%
a 102
 
6.6%
t 94
 
6.1%
s 90
 
5.9%
r 83
 
5.4%
h 83
 
5.4%
M 75
 
4.9%
d 74
 
4.8%
A 72
 
4.7%
Other values (33) 558
36.4%
Common
ValueCountFrequency (%)
18450
76.6%
; 3374
 
14.0%
] 604
 
2.5%
[ 604
 
2.5%
, 427
 
1.8%
· 253
 
1.0%
. 216
 
0.9%
) 35
 
0.1%
( 35
 
0.1%
> 32
 
0.1%
Other values (12) 70
 
0.3%
Han
ValueCountFrequency (%)
莊 1
25.0%
八 1
25.0%
岡 1
25.0%
山 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 54702
68.1%
ASCII 25376
31.6%
None 259
 
0.3%
CJK 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18450
72.7%
; 3374
 
13.3%
] 604
 
2.4%
[ 604
 
2.4%
, 427
 
1.7%
. 216
 
0.9%
i 169
 
0.7%
u 135
 
0.5%
a 102
 
0.4%
t 94
 
0.4%
Other values (52) 1201
 
4.7%
Hangul
ValueCountFrequency (%)
지 3914
 
7.2%
음 3698
 
6.8%
김 2641
 
4.8%
이 1772
 
3.2%
그 1213
 
2.2%
옮 1209
 
2.2%
림 1200
 
2.2%
글 1071
 
2.0%
정 994
 
1.8%
영 816
 
1.5%
Other values (564) 36174
66.1%
None
ValueCountFrequency (%)
· 253
97.7%
〉 3
 
1.2%
〈 3
 
1.2%
CJK
ValueCountFrequency (%)
莊 1
25.0%
八 1
25.0%
岡 1
25.0%
山 1
25.0%

대출책의키
Real number (ℝ)

UNIQUE 

Distinct7152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70667036
Minimum70654656
Maximum70676810
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size63.0 KiB
2023-12-12T21:00:24.858646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum70654656
5-th percentile70655894
Q170662466
median70668140
Q370672294
95-th percentile70675994
Maximum70676810
Range22154
Interquartile range (IQR)9828.75

Descriptive statistics

Standard deviation6235.7493
Coefficient of variation (CV)8.8241274 × 10-5
Kurtosis-0.98878066
Mean70667036
Median Absolute Deviation (MAD)4797.5
Skewness-0.31247592
Sum5.0541064 × 1011
Variance38884569
MonotonicityNot monotonic
2023-12-12T21:00:25.053334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
70657806 1
 
< 0.1%
70670203 1
 
< 0.1%
70670276 1
 
< 0.1%
70670275 1
 
< 0.1%
70670270 1
 
< 0.1%
70670263 1
 
< 0.1%
70669125 1
 
< 0.1%
70670244 1
 
< 0.1%
70670219 1
 
< 0.1%
70670218 1
 
< 0.1%
Other values (7142) 7142
99.9%
ValueCountFrequency (%)
70654656 1
< 0.1%
70654657 1
< 0.1%
70654658 1
< 0.1%
70654659 1
< 0.1%
70654660 1
< 0.1%
70654661 1
< 0.1%
70654662 1
< 0.1%
70654663 1
< 0.1%
70654664 1
< 0.1%
70654665 1
< 0.1%
ValueCountFrequency (%)
70676810 1
< 0.1%
70676809 1
< 0.1%
70676802 1
< 0.1%
70676797 1
< 0.1%
70676792 1
< 0.1%
70676791 1
< 0.1%
70676790 1
< 0.1%
70676786 1
< 0.1%
70676782 1
< 0.1%
70676781 1
< 0.1%

청구기호
Text

Distinct2768
Distinct (%)38.7%
Missing0
Missing (%)0.0%
Memory size56.0 KiB
2023-12-12T21:00:25.438087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length18
Mean length10.301454
Min length3

Characters and Unicode

Total characters73676
Distinct characters324
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

Unique1395 ?
Unique (%)19.5%

Sample

1st row189.2슈42ㄷ
2nd row381.79비55ㅅ
3rd row570.6유64ㅂ
4th row517.1채56ㅋ
5th row813.8흔92ㅎ5
ValueCountFrequency (%)
813.8조54ㅇ 28
 
0.4%
327.04존298ㅈ 19
 
0.3%
813.8흔92ㅎ3 19
 
0.3%
001.3백52ㅌ 18
 
0.3%
813.8흔92ㅎ1 17
 
0.2%
833.6히12ㅎ 17
 
0.2%
813.7알892ㅈ1 16
 
0.2%
511.1813정73ㅈ1 16
 
0.2%
813.8흔92ㅎ4 16
 
0.2%
863뮈55ㅇ 15
 
0.2%
Other values (2757) 6972
97.5%
2023-12-12T21:00:26.076916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 8039
10.9%
1 7718
10.5%
3 7438
10.1%
. 6634
 
9.0%
2 5312
 
7.2%
6 4553
 
6.2%
7 4465
 
6.1%
5 4273
 
5.8%
4 3917
 
5.3%
9 3564
 
4.8%
Other values (314) 17763
24.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 51329
69.7%
Other Letter 14407
 
19.6%
Other Punctuation 6642
 
9.0%
Lowercase Letter 1062
 
1.4%
Dash Punctuation 184
 
0.2%
Uppercase Letter 50
 
0.1%
Space Separator 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ㅇ 1495
 
10.4%
ㅅ 852
 
5.9%
김 779
 
5.4%
이 740
 
5.1%
ㅈ 635
 
4.4%
ㅎ 552
 
3.8%
ㅂ 537
 
3.7%
ㄴ 530
 
3.7%
ㄱ 521
 
3.6%
ㅁ 450
 
3.1%
Other values (283) 7316
50.8%
Decimal Number
ValueCountFrequency (%)
8 8039
15.7%
1 7718
15.0%
3 7438
14.5%
2 5312
10.3%
6 4553
8.9%
7 4465
8.7%
5 4273
8.3%
4 3917
7.6%
9 3564
6.9%
0 2050
 
4.0%
Lowercase Letter
ValueCountFrequency (%)
v 1001
94.3%
n 44
 
4.1%
c 9
 
0.8%
d 2
 
0.2%
l 2
 
0.2%
q 1
 
0.1%
w 1
 
0.1%
j 1
 
0.1%
s 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
V 23
46.0%
I 20
40.0%
D 2
 
4.0%
C 1
 
2.0%
S 1
 
2.0%
U 1
 
2.0%
K 1
 
2.0%
H 1
 
2.0%
Other Punctuation
ValueCountFrequency (%)
. 6634
99.9%
: 8
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 184
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 58157
78.9%
Hangul 14407
 
19.6%
Latin 1112
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
ㅇ 1495
 
10.4%
ㅅ 852
 
5.9%
김 779
 
5.4%
이 740
 
5.1%
ㅈ 635
 
4.4%
ㅎ 552
 
3.8%
ㅂ 537
 
3.7%
ㄴ 530
 
3.7%
ㄱ 521
 
3.6%
ㅁ 450
 
3.1%
Other values (283) 7316
50.8%
Latin
ValueCountFrequency (%)
v 1001
90.0%
n 44
 
4.0%
V 23
 
2.1%
I 20
 
1.8%
c 9
 
0.8%
d 2
 
0.2%
l 2
 
0.2%
D 2
 
0.2%
C 1
 
0.1%
q 1
 
0.1%
Other values (7) 7
 
0.6%
Common
ValueCountFrequency (%)
8 8039
13.8%
1 7718
13.3%
3 7438
12.8%
. 6634
11.4%
2 5312
9.1%
6 4553
7.8%
7 4465
7.7%
5 4273
7.3%
4 3917
6.7%
9 3564
6.1%
Other values (4) 2244
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 59269
80.4%
Hangul 7457
 
10.1%
Compat Jamo 6950
 
9.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 8039
13.6%
1 7718
13.0%
3 7438
12.5%
. 6634
11.2%
2 5312
9.0%
6 4553
7.7%
7 4465
7.5%
5 4273
7.2%
4 3917
6.6%
9 3564
6.0%
Other values (21) 3356
5.7%
Compat Jamo
ValueCountFrequency (%)
ㅇ 1495
21.5%
ㅅ 852
12.3%
ㅈ 635
9.1%
ㅎ 552
 
7.9%
ㅂ 537
 
7.7%
ㄴ 530
 
7.6%
ㄱ 521
 
7.5%
ㅁ 450
 
6.5%
ㄷ 377
 
5.4%
ㅌ 280
 
4.0%
Other values (9) 721
10.4%
Hangul
ValueCountFrequency (%)
김 779
 
10.4%
이 740
 
9.9%
박 432
 
5.8%
정 264
 
3.5%
히 253
 
3.4%
조 237
 
3.2%
설 176
 
2.4%
아 166
 
2.2%
강 165
 
2.2%
최 159
 
2.1%
Other values (264) 4086
54.8%

분류기호
Real number (ℝ)

Distinct524
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1626.9045
Minimum0
Maximum64800
Zeros6
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size63.0 KiB
2023-12-12T21:00:26.303652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile181.7
Q1331.544
median813.6
Q3818
95-th percentile911
Maximum64800
Range64800
Interquartile range (IQR)486.456

Descriptive statistics

Standard deviation7838.8627
Coefficient of variation (CV)4.8182686
Kurtosis59.497612
Mean1626.9045
Median Absolute Deviation (MAD)30.4
Skewness7.8230189
Sum11635621
Variance61447769
MonotonicityNot monotonic
2023-12-12T21:00:26.468907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
813.7 868
 
12.1%
813.6 631
 
8.8%
818.0 430
 
6.0%
833.6 337
 
4.7%
813.8 322
 
4.5%
843.6 163
 
2.3%
833.8 157
 
2.2%
327.856 154
 
2.2%
325.211 136
 
1.9%
327.04 134
 
1.9%
Other values (514) 3820
53.4%
ValueCountFrequency (%)
0.0 6
 
0.1%
1.09 1
 
< 0.1%
1.2 4
 
0.1%
1.3 97
1.4%
3.54 2
 
< 0.1%
4.076 9
 
0.1%
4.58 3
 
< 0.1%
4.73 1
 
< 0.1%
5.51 1
 
< 0.1%
5.53 8
 
0.1%
ValueCountFrequency (%)
64800.0 4
 
0.1%
64395.0 1
 
< 0.1%
64371.0 1
 
< 0.1%
64311.0 10
 
0.1%
64300.0 93
1.3%
26031.0 6
 
0.1%
998.67 19
 
0.3%
998.6 17
 
0.2%
998.55 6
 
0.1%
998.51 9
 
0.1%

분류기호구분
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size56.0 KiB
1
7152 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 7152
100.0%

Length

2023-12-12T21:00:26.625079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:00:26.744283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 7152
100.0%

반납연기횟수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size56.0 KiB
<NA>
7136 
1
 
16

Length

Max length4
Median length4
Mean length3.9932886
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 7136
99.8%
1 16
 
0.2%

Length

2023-12-12T21:00:26.874922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:00:26.985579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7136
99.8%
1 16
 
0.2%

반납연기부여일
Date

MISSING 

Distinct7
Distinct (%)43.8%
Missing7136
Missing (%)99.8%
Memory size56.0 KiB
Minimum2020-08-12 00:00:00
Maximum2021-05-21 00:00:00
2023-12-12T21:00:27.074536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:00:27.178309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)

최초작업
Text

Distinct3521
Distinct (%)49.2%
Missing0
Missing (%)0.0%
Memory size56.0 KiB
2023-12-12T21:00:27.579313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length63
Mean length63
Min length63

Characters and Unicode

Total characters450576
Distinct characters33
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1706 ?
Unique (%)23.9%

Sample

1st row20200803 1401 행정자료실@107.0.141.42 장서관리>bl_loc_loan_proc.cpp#5050
2nd row20200803 1401 행정자료실@107.0.141.42 장서관리>bl_loc_loan_proc.cpp#5050
3rd row20200803 1416 행정자료실@107.0.141.42 장서관리>bl_loc_loan_proc.cpp#5050
4th row20200803 1416 행정자료실@107.0.141.42 장서관리>bl_loc_loan_proc.cpp#5050
5th row20200803 1500 행정자료실@107.0.141.42 장서관리>bl_loc_loan_proc.cpp#5050
ValueCountFrequency (%)
행정자료실@107.0.141.42 7034
24.6%
장서관리>bl_loc_loan_proc.cpp#5103 3751
 
13.1%
장서관리>bl_loc_loan_proc.cpp#5050 3314
 
11.6%
행정자료실@107.0.141.41 118
 
0.4%
20201203 117
 
0.4%
20200731 88
 
0.3%
장서관리>bl_loc_loan_proc.cpp#5069 87
 
0.3%
20200929 85
 
0.3%
20210210 77
 
0.3%
20210409 77
 
0.3%
Other values (724) 13860
48.4%
2023-12-12T21:00:28.132955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 47934
 
10.6%
1 43468
 
9.6%
. 28608
 
6.3%
2 27758
 
6.2%
c 21456
 
4.8%
_ 21456
 
4.8%
o 21456
 
4.8%
p 21456
 
4.8%
21456
 
4.8%
l 21456
 
4.8%
Other values (23) 174072
38.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 178800
39.7%
Lowercase Letter 114432
25.4%
Other Letter 64368
 
14.3%
Other Punctuation 42912
 
9.5%
Connector Punctuation 21456
 
4.8%
Space Separator 21456
 
4.8%
Math Symbol 7152
 
1.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 47934
26.8%
1 43468
24.3%
2 27758
15.5%
4 18619
 
10.4%
5 14921
 
8.3%
7 10367
 
5.8%
3 8096
 
4.5%
9 2748
 
1.5%
6 2666
 
1.5%
8 2223
 
1.2%
Other Letter
ValueCountFrequency (%)
서 7152
11.1%
리 7152
11.1%
관 7152
11.1%
장 7152
11.1%
실 7152
11.1%
료 7152
11.1%
자 7152
11.1%
정 7152
11.1%
행 7152
11.1%
Lowercase Letter
ValueCountFrequency (%)
c 21456
18.8%
o 21456
18.8%
p 21456
18.8%
l 21456
18.8%
r 7152
 
6.2%
b 7152
 
6.2%
n 7152
 
6.2%
a 7152
 
6.2%
Other Punctuation
ValueCountFrequency (%)
. 28608
66.7%
# 7152
 
16.7%
@ 7152
 
16.7%
Connector Punctuation
ValueCountFrequency (%)
_ 21456
100.0%
Space Separator
ValueCountFrequency (%)
21456
100.0%
Math Symbol
ValueCountFrequency (%)
> 7152
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 271776
60.3%
Latin 114432
25.4%
Hangul 64368
 
14.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 47934
17.6%
1 43468
16.0%
. 28608
10.5%
2 27758
10.2%
_ 21456
7.9%
21456
7.9%
4 18619
 
6.9%
5 14921
 
5.5%
7 10367
 
3.8%
3 8096
 
3.0%
Other values (6) 29093
10.7%
Hangul
ValueCountFrequency (%)
서 7152
11.1%
리 7152
11.1%
관 7152
11.1%
장 7152
11.1%
실 7152
11.1%
료 7152
11.1%
자 7152
11.1%
정 7152
11.1%
행 7152
11.1%
Latin
ValueCountFrequency (%)
c 21456
18.8%
o 21456
18.8%
p 21456
18.8%
l 21456
18.8%
r 7152
 
6.2%
b 7152
 
6.2%
n 7152
 
6.2%
a 7152
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 386208
85.7%
Hangul 64368
 
14.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 47934
12.4%
1 43468
 
11.3%
. 28608
 
7.4%
2 27758
 
7.2%
c 21456
 
5.6%
_ 21456
 
5.6%
o 21456
 
5.6%
p 21456
 
5.6%
21456
 
5.6%
l 21456
 
5.6%
Other values (14) 109704
28.4%
Hangul
ValueCountFrequency (%)
서 7152
11.1%
리 7152
11.1%
관 7152
11.1%
장 7152
11.1%
실 7152
11.1%
료 7152
11.1%
자 7152
11.1%
정 7152
11.1%
행 7152
11.1%

마지막작업
Text

MISSING 

Distinct3370
Distinct (%)47.9%
Missing119
Missing (%)1.7%
Memory size56.0 KiB
2023-12-12T21:00:28.583953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length58
Mean length58
Min length58

Characters and Unicode

Total characters407914
Distinct characters30
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1599 ?
Unique (%)22.7%

Sample

1st row20200810 1524 행정자료실@107.0.141.42 장서관리>bo_loc_3130.cpp#2139
2nd row20200810 1524 행정자료실@107.0.141.42 장서관리>bo_loc_3130.cpp#2139
3rd row20200825 0952 행정자료실@107.0.141.42 장서관리>bo_loc_3130.cpp#2139
4th row20200818 1424 행정자료실@107.0.141.42 장서관리>bo_loc_3130.cpp#2139
5th row20200805 1532 행정자료실@107.0.141.42 장서관리>bo_loc_3130.cpp#2139
ValueCountFrequency (%)
장서관리>bo_loc_3130.cpp#2139 7033
25.0%
행정자료실@107.0.141.42 6957
24.7%
20201222 86
 
0.3%
행정자료실@107.0.141.41 76
 
0.3%
20210409 74
 
0.3%
20210315 68
 
0.2%
20210217 67
 
0.2%
20210104 64
 
0.2%
20210125 63
 
0.2%
20200929 61
 
0.2%
Other values (731) 13583
48.3%
2023-12-12T21:00:29.180768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 53270
 
13.1%
0 43837
 
10.7%
2 34438
 
8.4%
. 28132
 
6.9%
3 25308
 
6.2%
21099
 
5.2%
4 18280
 
4.5%
p 14066
 
3.4%
_ 14066
 
3.4%
o 14066
 
3.4%
Other values (20) 141352
34.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 203957
50.0%
Other Letter 63297
 
15.5%
Lowercase Letter 56264
 
13.8%
Other Punctuation 42198
 
10.3%
Space Separator 21099
 
5.2%
Connector Punctuation 14066
 
3.4%
Math Symbol 7033
 
1.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 53270
26.1%
0 43837
21.5%
2 34438
16.9%
3 25308
12.4%
4 18280
 
9.0%
9 9893
 
4.9%
7 9679
 
4.7%
5 4475
 
2.2%
6 2525
 
1.2%
8 2252
 
1.1%
Other Letter
ValueCountFrequency (%)
료 7033
11.1%
실 7033
11.1%
자 7033
11.1%
정 7033
11.1%
행 7033
11.1%
서 7033
11.1%
관 7033
11.1%
리 7033
11.1%
장 7033
11.1%
Lowercase Letter
ValueCountFrequency (%)
p 14066
25.0%
o 14066
25.0%
c 14066
25.0%
b 7033
12.5%
l 7033
12.5%
Other Punctuation
ValueCountFrequency (%)
. 28132
66.7%
@ 7033
 
16.7%
# 7033
 
16.7%
Space Separator
ValueCountFrequency (%)
21099
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 14066
100.0%
Math Symbol
ValueCountFrequency (%)
> 7033
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 288353
70.7%
Hangul 63297
 
15.5%
Latin 56264
 
13.8%

Most frequent character per script

Common
ValueCountFrequency (%)
1 53270
18.5%
0 43837
15.2%
2 34438
11.9%
. 28132
9.8%
3 25308
8.8%
21099
 
7.3%
4 18280
 
6.3%
_ 14066
 
4.9%
9 9893
 
3.4%
7 9679
 
3.4%
Other values (6) 30351
10.5%
Hangul
ValueCountFrequency (%)
료 7033
11.1%
실 7033
11.1%
자 7033
11.1%
정 7033
11.1%
행 7033
11.1%
서 7033
11.1%
관 7033
11.1%
리 7033
11.1%
장 7033
11.1%
Latin
ValueCountFrequency (%)
p 14066
25.0%
o 14066
25.0%
c 14066
25.0%
b 7033
12.5%
l 7033
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 344617
84.5%
Hangul 63297
 
15.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 53270
15.5%
0 43837
12.7%
2 34438
10.0%
. 28132
 
8.2%
3 25308
 
7.3%
21099
 
6.1%
4 18280
 
5.3%
p 14066
 
4.1%
_ 14066
 
4.1%
o 14066
 
4.1%
Other values (11) 78055
22.6%
Hangul
ValueCountFrequency (%)
료 7033
11.1%
실 7033
11.1%
자 7033
11.1%
정 7033
11.1%
행 7033
11.1%
서 7033
11.1%
관 7033
11.1%
리 7033
11.1%
장 7033
11.1%

대출일
Date

Distinct226
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size56.0 KiB
Minimum2020-07-01 00:00:00
Maximum2021-06-01 00:00:00
2023-12-12T21:00:29.329622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:00:29.473324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

반납일
Date

MISSING 

Distinct241
Distinct (%)3.4%
Missing119
Missing (%)1.7%
Memory size56.0 KiB
Minimum2020-07-01 00:00:00
Maximum2021-06-18 00:00:00
2023-12-12T21:00:29.937203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:00:30.085796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

대출형태
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size56.0 KiB
0
5821 
1
1331 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5821
81.4%
1 1331
 
18.6%

Length

2023-12-12T21:00:30.234778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:00:30.339913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5821
81.4%
1 1331
 
18.6%

대출자직급코드
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3934564
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size63.0 KiB
2023-12-12T21:00:30.432683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.99704596
Coefficient of variation (CV)0.71552004
Kurtosis4.0014629
Mean1.3934564
Median Absolute Deviation (MAD)0
Skewness2.2819263
Sum9966
Variance0.99410065
MonotonicityNot monotonic
2023-12-12T21:00:30.556965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 6154
86.0%
4 804
 
11.2%
3 169
 
2.4%
2 16
 
0.2%
5 6
 
0.1%
9 3
 
< 0.1%
ValueCountFrequency (%)
1 6154
86.0%
2 16
 
0.2%
3 169
 
2.4%
4 804
 
11.2%
5 6
 
0.1%
9 3
 
< 0.1%
ValueCountFrequency (%)
9 3
 
< 0.1%
5 6
 
0.1%
4 804
 
11.2%
3 169
 
2.4%
2 16
 
0.2%
1 6154
86.0%

대출자소속코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size56.0 KiB
1
6207 
4
795 
3
 
141
5
 
6
9
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row4
4th row4
5th row1

Common Values

ValueCountFrequency (%)
1 6207
86.8%
4 795
 
11.1%
3 141
 
2.0%
5 6
 
0.1%
9 3
 
< 0.1%

Length

2023-12-12T21:00:30.696330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:00:30.811846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 6207
86.8%
4 795
 
11.1%
3 141
 
2.0%
5 6
 
0.1%
9 3
 
< 0.1%

관리구분
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size56.0 KiB
MA
7152 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
MA 7152
100.0%

Length

2023-12-12T21:00:30.935225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:00:31.056308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ma 7152
100.0%

회원구분
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size56.0 KiB
0
7152 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7152
100.0%

Length

2023-12-12T21:00:31.168541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:00:31.272179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 7152
100.0%

이전반납예정일
Date

Distinct240
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size56.0 KiB
Minimum2020-07-09 00:00:00
Maximum2021-06-15 00:00:00
2023-12-12T21:00:31.392670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:00:31.577952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

발행자
Text

Distinct872
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Memory size56.0 KiB
2023-12-12T21:00:32.034489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length14
Mean length4.3083054
Min length1

Characters and Unicode

Total characters30813
Distinct characters510
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique275 ?
Unique (%)3.8%

Sample

1st row동양북스
2nd row오아시스
3rd row나녹
4th row율곡
5th row아이세움
ValueCountFrequency (%)
위즈덤하우스 242
 
3.2%
문학동네 186
 
2.5%
대원씨아이 177
 
2.4%
김영사 165
 
2.2%
창비 163
 
2.2%
길벗스쿨 121
 
1.6%
민음사 106
 
1.4%
아이세움 105
 
1.4%
명상 97
 
1.3%
충청북도 96
 
1.3%
Other values (881) 6018
80.5%
2023-12-12T21:00:32.622810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 1488
 
4.8%
북 991
 
3.2%
사 904
 
2.9%
이 891
 
2.9%
아 745
 
2.4%
어 557
 
1.8%
문 534
 
1.7%
하 386
 
1.3%
미 379
 
1.2%
디 357
 
1.2%
Other values (500) 23581
76.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27267
88.5%
Uppercase Letter 1580
 
5.1%
Lowercase Letter 1390
 
4.5%
Space Separator 324
 
1.1%
Decimal Number 152
 
0.5%
Other Punctuation 82
 
0.3%
Open Punctuation 9
 
< 0.1%
Close Punctuation 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 1488
 
5.5%
북 991
 
3.6%
사 904
 
3.3%
이 891
 
3.3%
아 745
 
2.7%
어 557
 
2.0%
문 534
 
2.0%
하 386
 
1.4%
미 379
 
1.4%
디 357
 
1.3%
Other values (441) 20035
73.5%
Uppercase Letter
ValueCountFrequency (%)
O 184
11.6%
B 144
 
9.1%
C 137
 
8.7%
R 120
 
7.6%
K 118
 
7.5%
H 115
 
7.3%
G 100
 
6.3%
M 100
 
6.3%
N 89
 
5.6%
U 84
 
5.3%
Other values (15) 389
24.6%
Lowercase Letter
ValueCountFrequency (%)
o 279
20.1%
e 148
10.6%
s 143
10.3%
a 126
9.1%
t 122
8.8%
r 116
8.3%
k 114
8.2%
i 86
 
6.2%
b 59
 
4.2%
l 48
 
3.5%
Other values (12) 149
10.7%
Other Punctuation
ValueCountFrequency (%)
& 49
59.8%
. 17
 
20.7%
# 7
 
8.5%
@ 5
 
6.1%
, 4
 
4.9%
Decimal Number
ValueCountFrequency (%)
2 87
57.2%
1 63
41.4%
0 1
 
0.7%
3 1
 
0.7%
Space Separator
ValueCountFrequency (%)
324
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27261
88.5%
Latin 2970
 
9.6%
Common 576
 
1.9%
Han 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 1488
 
5.5%
북 991
 
3.6%
사 904
 
3.3%
이 891
 
3.3%
아 745
 
2.7%
어 557
 
2.0%
문 534
 
2.0%
하 386
 
1.4%
미 379
 
1.4%
디 357
 
1.3%
Other values (438) 20029
73.5%
Latin
ValueCountFrequency (%)
o 279
 
9.4%
O 184
 
6.2%
e 148
 
5.0%
B 144
 
4.8%
s 143
 
4.8%
C 137
 
4.6%
a 126
 
4.2%
t 122
 
4.1%
R 120
 
4.0%
K 118
 
4.0%
Other values (37) 1449
48.8%
Common
ValueCountFrequency (%)
324
56.2%
2 87
 
15.1%
1 63
 
10.9%
& 49
 
8.5%
. 17
 
3.0%
( 9
 
1.6%
) 9
 
1.6%
# 7
 
1.2%
@ 5
 
0.9%
, 4
 
0.7%
Other values (2) 2
 
0.3%
Han
ValueCountFrequency (%)
弘 2
33.3%
社 2
33.3%
文 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27257
88.5%
ASCII 3546
 
11.5%
CJK 6
 
< 0.1%
Compat Jamo 4
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 1488
 
5.5%
북 991
 
3.6%
사 904
 
3.3%
이 891
 
3.3%
아 745
 
2.7%
어 557
 
2.0%
문 534
 
2.0%
하 386
 
1.4%
미 379
 
1.4%
디 357
 
1.3%
Other values (436) 20025
73.5%
ASCII
ValueCountFrequency (%)
324
 
9.1%
o 279
 
7.9%
O 184
 
5.2%
e 148
 
4.2%
B 144
 
4.1%
s 143
 
4.0%
C 137
 
3.9%
a 126
 
3.6%
t 122
 
3.4%
R 120
 
3.4%
Other values (49) 1819
51.3%
CJK
ValueCountFrequency (%)
弘 2
33.3%
社 2
33.3%
文 2
33.3%
Compat Jamo
ValueCountFrequency (%)
ㄱ 2
50.0%
ㅜ 2
50.0%

발행형태구분
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size56.0 KiB
MO
7152 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
MO 7152
100.0%

Length

2023-12-12T21:00:32.808107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:00:32.950509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
mo 7152
100.0%

책키
Real number (ℝ)

Distinct2857
Distinct (%)39.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66930373
Minimum11169
Maximum70674146
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size63.0 KiB
2023-12-12T21:00:33.126799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11169
5-th percentile58501.3
Q170507275
median70644999
Q370657401
95-th percentile70670854
Maximum70674146
Range70662977
Interquartile range (IQR)150126

Descriptive statistics

Standard deviation15580042
Coefficient of variation (CV)0.23277984
Kurtosis14.495692
Mean66930373
Median Absolute Deviation (MAD)22240
Skewness-4.0606791
Sum4.7868603 × 1011
Variance2.427377 × 1014
MonotonicityNot monotonic
2023-12-12T21:00:33.365158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
70657028 19
 
0.3%
70645011 19
 
0.3%
70641914 17
 
0.2%
70652777 16
 
0.2%
70648237 16
 
0.2%
70653069 16
 
0.2%
70652977 15
 
0.2%
70641918 15
 
0.2%
70657524 15
 
0.2%
70653073 14
 
0.2%
Other values (2847) 6990
97.7%
ValueCountFrequency (%)
11169 3
< 0.1%
14399 1
 
< 0.1%
15063 1
 
< 0.1%
16213 1
 
< 0.1%
17015 1
 
< 0.1%
17119 2
< 0.1%
17237 1
 
< 0.1%
17323 3
< 0.1%
17765 1
 
< 0.1%
18751 3
< 0.1%
ValueCountFrequency (%)
70674146 1
 
< 0.1%
70674138 1
 
< 0.1%
70674134 3
< 0.1%
70674130 2
 
< 0.1%
70674126 2
 
< 0.1%
70674122 1
 
< 0.1%
70674110 1
 
< 0.1%
70674106 5
0.1%
70674102 1
 
< 0.1%
70674098 4
0.1%

등록구분
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size56.0 KiB
EM
7152 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
EM 7152
100.0%

Length

2023-12-12T21:00:33.546807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:00:33.694997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
em 7152
100.0%

등록번호
Text

Distinct2857
Distinct (%)39.9%
Missing0
Missing (%)0.0%
Memory size56.0 KiB
2023-12-12T21:00:33.934952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters85824
Distinct characters12
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

Unique1471 ?
Unique (%)20.6%

Sample

1st rowEM0000050004
2nd rowEM0000050005
3rd rowEM0000050064
4th rowEM0000050070
5th rowEM0000050161
ValueCountFrequency (%)
em0000050037 19
 
0.3%
em0000049377 19
 
0.3%
em0000049278 17
 
0.2%
em0000049845 16
 
0.2%
em0000049772 16
 
0.2%
em0000049531 16
 
0.2%
em0000049822 15
 
0.2%
em0000050161 15
 
0.2%
em0000049279 15
 
0.2%
em0000049834 14
 
0.2%
Other values (2847) 6990
97.7%
2023-12-12T21:00:34.432518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 40706
47.4%
E 7152
 
8.3%
M 7152
 
8.3%
4 6090
 
7.1%
5 4597
 
5.4%
3 3964
 
4.6%
9 3480
 
4.1%
2 2861
 
3.3%
1 2620
 
3.1%
7 2584
 
3.0%
Other values (2) 4618
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 71520
83.3%
Uppercase Letter 14304
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 40706
56.9%
4 6090
 
8.5%
5 4597
 
6.4%
3 3964
 
5.5%
9 3480
 
4.9%
2 2861
 
4.0%
1 2620
 
3.7%
7 2584
 
3.6%
8 2499
 
3.5%
6 2119
 
3.0%
Uppercase Letter
ValueCountFrequency (%)
E 7152
50.0%
M 7152
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 71520
83.3%
Latin 14304
 
16.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 40706
56.9%
4 6090
 
8.5%
5 4597
 
6.4%
3 3964
 
5.5%
9 3480
 
4.9%
2 2861
 
4.0%
1 2620
 
3.7%
7 2584
 
3.6%
8 2499
 
3.5%
6 2119
 
3.0%
Latin
ValueCountFrequency (%)
E 7152
50.0%
M 7152
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 85824
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 40706
47.4%
E 7152
 
8.3%
M 7152
 
8.3%
4 6090
 
7.1%
5 4597
 
5.4%
3 3964
 
4.6%
9 3480
 
4.1%
2 2861
 
3.3%
1 2620
 
3.1%
7 2584
 
3.0%
Other values (2) 4618
 
5.4%

배상비
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size56.0 KiB
0
7033 
<NA>
 
119

Length

Max length4
Median length1
Mean length1.0499161
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7033
98.3%
<NA> 119
 
1.7%

Length

2023-12-12T21:00:34.631067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:00:34.791342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 7033
98.3%
na 119
 
1.7%

반납예정일
Date

Distinct240
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size56.0 KiB
Minimum2020-07-09 00:00:00
Maximum2021-06-15 00:00:00
2023-12-12T21:00:34.921437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:00:35.131553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

반납형태
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size56.0 KiB
0
7033 
<NA>
 
119

Length

Max length4
Median length1
Mean length1.0499161
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7033
98.3%
<NA> 119
 
1.7%

Length

2023-12-12T21:00:35.345353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:00:35.507806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 7033
98.3%
na 119
 
1.7%

대출자료실
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size56.0 KiB
1
7027 
2
 
103
3
 
22

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 7027
98.3%
2 103
 
1.4%
3 22
 
0.3%

Length

2023-12-12T21:00:35.677536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:00:35.817586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 7027
98.3%
2 103
 
1.4%
3 22
 
0.3%

대출상태
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size56.0 KiB
1
7033 
0
 
119

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 7033
98.3%
0 119
 
1.7%

Length

2023-12-12T21:00:35.980095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:00:36.133250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 7033
98.3%
0 119
 
1.7%

서명
Text

Distinct2806
Distinct (%)39.2%
Missing0
Missing (%)0.0%
Memory size56.0 KiB
2023-12-12T21:00:36.616933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length90
Median length53
Mean length19.102489
Min length1

Characters and Unicode

Total characters136621
Distinct characters1005
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1420 ?
Unique (%)19.9%

Sample

1st row당신은 타인을 바꿀 수 없다
2nd row술의 인문학 : 세계사 속 숨은 음주문화를 찾아 떠난 한 저널리스트의 지적 탐사기
3rd row바이오산업혁명 : 4차산업혁명을 넘어 바이오 경제를 말한다
4th row카이스트, 바이오헬스의 미래를 말하다 : 대한민국 바이오헬스 전문가 49인과의 대담
5th row흔한남매. 5
ValueCountFrequency (%)
2828
 
7.7%
장편소설 741
 
2.0%
1 560
 
1.5%
2 528
 
1.4%
3 292
 
0.8%
4 186
 
0.5%
대모험 148
 
0.4%
내 146
 
0.4%
5 142
 
0.4%
위한 130
 
0.4%
Other values (6036) 31146
84.5%
2023-12-12T21:00:37.418021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29819
 
21.8%
: 2920
 
2.1%
의 2747
 
2.0%
이 2143
 
1.6%
. 1949
 
1.4%
는 1894
 
1.4%
1 1408
 
1.0%
한 1362
 
1.0%
기 1314
 
1.0%
사 1302
 
1.0%
Other values (995) 89763
65.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 89979
65.9%
Space Separator 29819
 
21.8%
Other Punctuation 6324
 
4.6%
Decimal Number 5352
 
3.9%
Lowercase Letter 1964
 
1.4%
Open Punctuation 1176
 
0.9%
Close Punctuation 1175
 
0.9%
Uppercase Letter 550
 
0.4%
Dash Punctuation 163
 
0.1%
Math Symbol 77
 
0.1%
Other values (3) 42
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 2747
 
3.1%
이 2143
 
2.4%
는 1894
 
2.1%
한 1362
 
1.5%
기 1314
 
1.5%
사 1302
 
1.4%
지 1270
 
1.4%
가 1269
 
1.4%
다 1148
 
1.3%
하 1129
 
1.3%
Other values (906) 74401
82.7%
Lowercase Letter
ValueCountFrequency (%)
e 211
10.7%
v 180
 
9.2%
a 167
 
8.5%
t 166
 
8.5%
s 165
 
8.4%
o 149
 
7.6%
r 133
 
6.8%
n 131
 
6.7%
i 130
 
6.6%
c 72
 
3.7%
Other values (15) 460
23.4%
Uppercase Letter
ValueCountFrequency (%)
H 78
14.2%
I 63
11.5%
B 50
 
9.1%
S 48
 
8.7%
P 35
 
6.4%
T 34
 
6.2%
M 32
 
5.8%
E 32
 
5.8%
A 26
 
4.7%
C 20
 
3.6%
Other values (14) 132
24.0%
Other Punctuation
ValueCountFrequency (%)
: 2920
46.2%
. 1949
30.8%
, 984
 
15.6%
! 182
 
2.9%
? 133
 
2.1%
' 85
 
1.3%
· 36
 
0.6%
% 17
 
0.3%
" 6
 
0.1%
/ 5
 
0.1%
Other values (3) 7
 
0.1%
Decimal Number
ValueCountFrequency (%)
1 1408
26.3%
2 1184
22.1%
3 625
11.7%
0 509
 
9.5%
4 396
 
7.4%
5 393
 
7.3%
9 256
 
4.8%
6 251
 
4.7%
7 177
 
3.3%
8 153
 
2.9%
Open Punctuation
ValueCountFrequency (%)
( 1155
98.2%
[ 19
 
1.6%
『 1
 
0.1%
《 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1154
98.2%
] 19
 
1.6%
』 1
 
0.1%
》 1
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 14
58.3%
Ⅰ 7
29.2%
Ⅲ 3
 
12.5%
Math Symbol
ValueCountFrequency (%)
= 67
87.0%
~ 10
 
13.0%
Space Separator
ValueCountFrequency (%)
29819
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 163
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 9
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 89923
65.8%
Common 44104
32.3%
Latin 2538
 
1.9%
Han 56
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 2747
 
3.1%
이 2143
 
2.4%
는 1894
 
2.1%
한 1362
 
1.5%
기 1314
 
1.5%
사 1302
 
1.4%
지 1270
 
1.4%
가 1269
 
1.4%
다 1148
 
1.3%
하 1129
 
1.3%
Other values (890) 74345
82.7%
Latin
ValueCountFrequency (%)
e 211
 
8.3%
v 180
 
7.1%
a 167
 
6.6%
t 166
 
6.5%
s 165
 
6.5%
o 149
 
5.9%
r 133
 
5.2%
n 131
 
5.2%
i 130
 
5.1%
H 78
 
3.1%
Other values (42) 1028
40.5%
Common
ValueCountFrequency (%)
29819
67.6%
: 2920
 
6.6%
. 1949
 
4.4%
1 1408
 
3.2%
2 1184
 
2.7%
( 1155
 
2.6%
) 1154
 
2.6%
, 984
 
2.2%
3 625
 
1.4%
0 509
 
1.2%
Other values (27) 2397
 
5.4%
Han
ValueCountFrequency (%)
桐 14
25.0%
華 14
25.0%
富 6
10.7%
夢 3
 
5.4%
想 3
 
5.4%
笛 3
 
5.4%
月 2
 
3.6%
新 2
 
3.6%
詩 2
 
3.6%
生 1
 
1.8%
Other values (6) 6
10.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 89919
65.8%
ASCII 46558
34.1%
CJK 56
 
< 0.1%
None 40
 
< 0.1%
Number Forms 24
 
< 0.1%
Punctuation 20
 
< 0.1%
Compat Jamo 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
29819
64.0%
: 2920
 
6.3%
. 1949
 
4.2%
1 1408
 
3.0%
2 1184
 
2.5%
( 1155
 
2.5%
) 1154
 
2.5%
, 984
 
2.1%
3 625
 
1.3%
0 509
 
1.1%
Other values (68) 4851
 
10.4%
Hangul
ValueCountFrequency (%)
의 2747
 
3.1%
이 2143
 
2.4%
는 1894
 
2.1%
한 1362
 
1.5%
기 1314
 
1.5%
사 1302
 
1.4%
지 1270
 
1.4%
가 1269
 
1.4%
다 1148
 
1.3%
하 1129
 
1.3%
Other values (889) 74341
82.7%
None
ValueCountFrequency (%)
· 36
90.0%
』 1
 
2.5%
『 1
 
2.5%
》 1
 
2.5%
《 1
 
2.5%
CJK
ValueCountFrequency (%)
桐 14
25.0%
華 14
25.0%
富 6
10.7%
夢 3
 
5.4%
想 3
 
5.4%
笛 3
 
5.4%
月 2
 
3.6%
新 2
 
3.6%
詩 2
 
3.6%
生 1
 
1.8%
Other values (6) 6
10.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 14
58.3%
Ⅰ 7
29.2%
Ⅲ 3
 
12.5%
Punctuation
ValueCountFrequency (%)
‘ 9
45.0%
’ 9
45.0%
… 2
 
10.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 4
100.0%

대출자의키
Real number (ℝ)

Distinct499
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61013448
Minimum59716
Maximum70675768
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size63.0 KiB
2023-12-12T21:00:37.625986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum59716
5-th percentile59963
Q170110158
median70480759
Q370639586
95-th percentile70668011
Maximum70675768
Range70616052
Interquartile range (IQR)529428

Descriptive statistics

Standard deviation23974055
Coefficient of variation (CV)0.39293067
Kurtosis2.622117
Mean61013448
Median Absolute Deviation (MAD)175895
Skewness-2.1495907
Sum4.3636818 × 1011
Variance5.7475531 × 1014
MonotonicityNot monotonic
2023-12-12T21:00:37.817549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
70013578 188
 
2.6%
70655047 178
 
2.5%
70645748 125
 
1.7%
70144896 100
 
1.4%
70643359 100
 
1.4%
70344272 99
 
1.4%
70507835 94
 
1.3%
70085642 89
 
1.2%
70648792 82
 
1.1%
70621436 78
 
1.1%
Other values (489) 6019
84.2%
ValueCountFrequency (%)
59716 6
 
0.1%
59717 15
 
0.2%
59722 12
 
0.2%
59738 41
0.6%
59741 21
0.3%
59777 6
 
0.1%
59794 18
0.3%
59801 1
 
< 0.1%
59816 1
 
< 0.1%
59818 12
 
0.2%
ValueCountFrequency (%)
70675768 2
 
< 0.1%
70675611 2
 
< 0.1%
70675526 9
0.1%
70675493 1
 
< 0.1%
70675245 5
 
0.1%
70674688 3
 
< 0.1%
70674638 2
 
< 0.1%
70674592 17
0.2%
70674194 2
 
< 0.1%
70673679 3
 
< 0.1%

Sample

저작자대출책의키청구기호분류기호분류기호구분반납연기횟수반납연기부여일최초작업마지막작업대출일반납일대출형태대출자직급코드대출자소속코드관리구분회원구분이전반납예정일발행자발행형태구분책키등록구분등록번호배상비반납예정일반납형태대출자료실대출상태서명대출자의키
0코르넬리아 슈바르츠 ; 슈테판 슈바르츠 [공] 지음 ; 서유리 옮김70657806189.2슈42ㄷ189.21<NA><NA>20200803 1401 행정자료실@107.0.141.42 장서관리>bl_loc_loan_proc.cpp#505020200810 1524 행정자료실@107.0.141.42 장서관리>bo_loc_3130.cpp#21392020-08-032020-08-10031MA02020-08-10동양북스MO70656896EMEM000005000402020-08-10011당신은 타인을 바꿀 수 없다70201076
1쇼너시 비숍 스톨 지음 ; 임지연 옮김70657807381.79비55ㅅ381.791<NA><NA>20200803 1401 행정자료실@107.0.141.42 장서관리>bl_loc_loan_proc.cpp#505020200810 1524 행정자료실@107.0.141.42 장서관리>bo_loc_3130.cpp#21392020-08-032020-08-10031MA02020-08-10오아시스MO70656900EMEM000005000502020-08-10011술의 인문학 : 세계사 속 숨은 음주문화를 찾아 떠난 한 저널리스트의 지적 탐사기70201076
2유영제 지음70657809570.6유64ㅂ570.61<NA><NA>20200803 1416 행정자료실@107.0.141.42 장서관리>bl_loc_loan_proc.cpp#505020200825 0952 행정자료실@107.0.141.42 장서관리>bo_loc_3130.cpp#21392020-08-032020-08-25044MA02020-08-10나녹MO70657136EMEM000005006402020-08-10011바이오산업혁명 : 4차산업혁명을 넘어 바이오 경제를 말한다70537659
3채수찬 엮음70657810517.1채56ㅋ517.11<NA><NA>20200803 1416 행정자료실@107.0.141.42 장서관리>bl_loc_loan_proc.cpp#505020200818 1424 행정자료실@107.0.141.42 장서관리>bo_loc_3130.cpp#21392020-08-032020-08-18044MA02020-08-10율곡MO70657160EMEM000005007002020-08-10011카이스트, 바이오헬스의 미래를 말하다 : 대한민국 바이오헬스 전문가 49인과의 대담70537659
4흔한남매 원작 ; 백난도 글 ; 유난희 그림70657812813.8흔92ㅎ5813.81<NA><NA>20200803 1500 행정자료실@107.0.141.42 장서관리>bl_loc_loan_proc.cpp#505020200805 1532 행정자료실@107.0.141.42 장서관리>bo_loc_3130.cpp#21392020-08-032020-08-05011MA02020-08-17아이세움MO70657524EMEM000005016102020-08-17011흔한남매. 570573923
5김순천70657815332.64김798ㄷ332.641<NA><NA>20200803 1508 행정자료실@107.0.141.42 장서관리>bl_loc_loan_proc.cpp#505020200804 1522 행정자료실@107.0.141.42 장서관리>bo_loc_3130.cpp#21392020-08-032020-08-04011MA02020-08-17오월의봄MO70426682EMEM000004089302020-08-17011대한민국 나쁜 기업 보고서70648792
6공지영 지음70656406813.7공78ㅁ813.71<NA><NA>20200720 1545 행정자료실@107.0.141.42 장서관리>bl_loc_loan_proc.cpp#505020200803 1513 행정자료실@107.0.141.42 장서관리>bo_loc_3130.cpp#21392020-07-202020-08-03011MA02020-08-03해냄MO70648137EMEM000004950602020-08-03011먼 바다 : 공지영 장편소설70477244
7이서윤 ; 홍주연 [공]지음70657816325.2113이54ㄷ2325.21131<NA><NA>20200803 1515 행정자료실@107.0.141.42 장서관리>bl_loc_loan_proc.cpp#505020200813 1336 행정자료실@107.0.141.42 장서관리>bo_loc_3130.cpp#21392020-08-032020-08-13011MA02020-08-17수오서재MO70652661EMEM000004974302020-08-17011더 해빙 : 부와 행운을 끌어당기는 힘70477244
8샐리 루니 지음 ; 김희용 옮김70657817843.6루198ㄴ843.61<NA><NA>20200803 1515 행정자료실@107.0.141.42 장서관리>bl_loc_loan_proc.cpp#505020200813 1336 행정자료실@107.0.141.42 장서관리>bo_loc_3130.cpp#21392020-08-032020-08-13011MA02020-08-17arteMO70652921EMEM000004980802020-08-17011노멀 피플70477244
9강원국 지음70657820802강66ㄱ802.01<NA><NA>20200803 1524 행정자료실@107.0.141.42 장서관리>bl_loc_loan_proc.cpp#505020200812 1731 행정자료실@107.0.141.42 장서관리>bo_loc_3130.cpp#21392020-08-032020-08-12011MA02020-08-17메디치미디어MO70657184EMEM000005007602020-08-17011강원국의 글쓰기 : 남과 다른 글은 어떻게 쓰는가70034841
저작자대출책의키청구기호분류기호분류기호구분반납연기횟수반납연기부여일최초작업마지막작업대출일반납일대출형태대출자직급코드대출자소속코드관리구분회원구분이전반납예정일발행자발행형태구분책키등록구분등록번호배상비반납예정일반납형태대출자료실대출상태서명대출자의키
7142와타나베쇼이치, 김욱 역70673471591.9와485ㅈ김591.91<NA><NA>20210324 1649 행정자료실@107.0.141.42 장서관리>bl_loc_loan_proc.cpp#510320210401 0901 행정자료실@107.0.141.42 장서관리>bo_loc_3130.cpp#21392021-03-242021-04-01044MA02021-03-31위즈덤하우스MO70381706EMEM000003974802021-03-31011지적으로 나이 드는 법70655047
7143무소 지음70673473813.7무55ㄹ2813.71<NA><NA>20210324 1650 행정자료실@107.0.141.42 장서관리>bl_loc_loan_proc.cpp#510320210430 1706 행정자료실@107.0.141.42 장서관리>bo_loc_3130.cpp#21392021-03-242021-04-30011MA02021-04-07위즈덤하우스MO70641778EMEM000004924402021-04-07011레이디 투 퀸 : 무소 장편소설. 260252
7144무소 지음70673474813.7무55ㄹ1813.71<NA><NA>20210324 1651 행정자료실@107.0.141.42 장서관리>bl_loc_loan_proc.cpp#510320210430 1706 행정자료실@107.0.141.42 장서관리>bo_loc_3130.cpp#21392021-03-242021-04-30011MA02021-04-07위즈덤하우스MO70641774EMEM000004924302021-04-07011레이디 투 퀸 : 무소 장편소설. 160252
7145알파타르트 지음70673476813.7알892ㅈ1813.71<NA><NA>20210324 1651 행정자료실@107.0.141.42 장서관리>bl_loc_loan_proc.cpp#510320210405 1445 행정자료실@107.0.141.42 장서관리>bo_loc_3130.cpp#21392021-03-242021-04-05011MA02021-04-07해피북스투유MO70653069EMEM000004984502021-04-07011재혼 황후 : 알파타르트 장편소설. 170026203
7146알파타르트 지음70673477813.7알892ㅈ2813.71<NA><NA>20210324 1651 행정자료실@107.0.141.42 장서관리>bl_loc_loan_proc.cpp#510320210405 1445 행정자료실@107.0.141.42 장서관리>bo_loc_3130.cpp#21392021-03-242021-04-05011MA02021-04-07해피북스투유MO70653073EMEM000004984602021-04-07011재혼 황후 : 알파타르트 장편소설. 270026203
7147투에고 지음70673479818투64ㄱ818.01<NA><NA>20210324 1736 행정자료실@107.0.141.42 장서관리>bl_loc_loan_proc.cpp#510320210405 1047 행정자료실@107.0.141.42 장서관리>bo_loc_3130.cpp#21392021-03-242021-04-05011MA02021-04-07한국경제신문MO70670858EMEM000005040802021-04-07011그때의 나에게 해주고 싶은 이야기 : 내 마음을 몰랐던 나를 위한 마음 사전70646406
7148야마오카 소하치 ; 이길진 역70673481833.6산174ㄷ이31833.61<NA><NA>20210325 0922 행정자료실@107.0.141.42 장서관리>bl_loc_loan_proc.cpp#510320210507 1707 행정자료실@107.0.141.42 장서관리>bo_loc_3130.cpp#21392021-03-252021-05-07011MA02021-04-08솔MO52695EMEM000002631102021-04-08031도쿠가와이에야스(3부31권). v.3160073
7149야마오카 소하치 ; 이길진 역70673482833.6산174ㄷ이30833.61<NA><NA>20210325 0922 행정자료실@107.0.141.42 장서관리>bl_loc_loan_proc.cpp#510320210331 1657 행정자료실@107.0.141.42 장서관리>bo_loc_3130.cpp#21392021-03-252021-03-31011MA02021-04-08솔MO52693EMEM000002631002021-04-08031도쿠가와이에야스(3부30권). v.3060073
7150야마오카 소하치 ; 이길진 역70673483833.6산174ㄷ이29833.61<NA><NA>20210325 0922 행정자료실@107.0.141.42 장서관리>bl_loc_loan_proc.cpp#510320210331 1657 행정자료실@107.0.141.42 장서관리>bo_loc_3130.cpp#21392021-03-252021-03-31011MA02021-04-08솔MO52691EMEM000002630902021-04-08031도쿠가와이에야스(3부29권). v.2960073
7151존 맥두걸 지음 ; 강신원 옮김70673484517.5맥26ㅇ517.51<NA><NA>20210325 1102 행정자료실@107.0.141.42 장서관리>bl_loc_loan_proc.cpp#510320210413 1741 행정자료실@107.0.141.42 장서관리>bo_loc_3130.cpp#21392021-03-252021-04-13011MA02021-04-08사이몬북스MO70667027EMEM000005029502021-04-08011어느 채식의사의 고백70423333