Overview

Dataset statistics

Number of variables7
Number of observations10000
Missing cells2
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory634.8 KiB
Average record size in memory65.0 B

Variable types

Numeric1
Text6

Dataset

Description충청남도 청양군 정산면에 소재하는 정산도서관의 도서 목록에 관한 데이터로 등록번호, 청구기호, 서명, 저작자, 발행자, 발행년에 관한 데이터를 제공합니다.
Author충청남도 청양군
URLhttps://www.data.go.kr/data/3062732/fileData.do

Alerts

순번 has unique valuesUnique
등록번호 has unique valuesUnique

Reproduction

Analysis started2023-12-23 06:36:52.960371
Analysis finished2023-12-23 06:37:05.503083
Duration12.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19181.762
Minimum8
Maximum38512
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-23T06:37:05.808677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile1983.85
Q19473
median19010.5
Q328889.25
95-th percentile36630.3
Maximum38512
Range38504
Interquartile range (IQR)19416.25

Descriptive statistics

Standard deviation11154.58
Coefficient of variation (CV)0.58152007
Kurtosis-1.2101822
Mean19181.762
Median Absolute Deviation (MAD)9702.5
Skewness0.018146811
Sum1.9181762 × 108
Variance1.2442464 × 108
MonotonicityNot monotonic
2023-12-23T06:37:06.509999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2788 1
 
< 0.1%
20515 1
 
< 0.1%
38171 1
 
< 0.1%
1703 1
 
< 0.1%
19793 1
 
< 0.1%
28392 1
 
< 0.1%
11808 1
 
< 0.1%
23955 1
 
< 0.1%
24148 1
 
< 0.1%
21268 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
8 1
< 0.1%
9 1
< 0.1%
12 1
< 0.1%
13 1
< 0.1%
18 1
< 0.1%
22 1
< 0.1%
25 1
< 0.1%
40 1
< 0.1%
44 1
< 0.1%
45 1
< 0.1%
ValueCountFrequency (%)
38512 1
< 0.1%
38509 1
< 0.1%
38507 1
< 0.1%
38501 1
< 0.1%
38500 1
< 0.1%
38494 1
< 0.1%
38493 1
< 0.1%
38491 1
< 0.1%
38488 1
< 0.1%
38487 1
< 0.1%

등록번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-23T06:37:07.489220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters120000
Distinct characters17
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 rowCM0000000356
2nd rowGM0000003252
3rd rowGM0000021288
4th rowGM0000007313
5th rowEM0000006807
ValueCountFrequency (%)
cm0000000356 1
 
< 0.1%
gm0000012967 1
 
< 0.1%
gm0000020023 1
 
< 0.1%
gm0000017858 1
 
< 0.1%
em0000009995 1
 
< 0.1%
gm0000001633 1
 
< 0.1%
gm0000010617 1
 
< 0.1%
cm0000004070 1
 
< 0.1%
em0000003126 1
 
< 0.1%
em0000005395 1
 
< 0.1%
Other values (9990) 9990
99.9%
2023-12-23T06:37:08.938907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 61570
51.3%
M 9619
 
8.0%
1 6927
 
5.8%
G 5648
 
4.7%
2 4560
 
3.8%
3 4147
 
3.5%
4 4000
 
3.3%
5 3880
 
3.2%
6 3803
 
3.2%
8 3759
 
3.1%
Other values (7) 12087
 
10.1%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 61570
61.6%
1 6927
 
6.9%
2 4560
 
4.6%
3 4147
 
4.1%
4 4000
 
4.0%
5 3880
 
3.9%
6 3803
 
3.8%
8 3759
 
3.8%
9 3697
 
3.7%
7 3657
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
M 9619
48.1%
G 5648
28.2%
E 2658
 
13.3%
C 1476
 
7.4%
N 218
 
1.1%
B 218
 
1.1%
S 163
 
0.8%

Most occurring scripts

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

Most frequent character per script

Common
ValueCountFrequency (%)
0 61570
61.6%
1 6927
 
6.9%
2 4560
 
4.6%
3 4147
 
4.1%
4 4000
 
4.0%
5 3880
 
3.9%
6 3803
 
3.8%
8 3759
 
3.8%
9 3697
 
3.7%
7 3657
 
3.7%
Latin
ValueCountFrequency (%)
M 9619
48.1%
G 5648
28.2%
E 2658
 
13.3%
C 1476
 
7.4%
N 218
 
1.1%
B 218
 
1.1%
S 163
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 120000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 61570
51.3%
M 9619
 
8.0%
1 6927
 
5.8%
G 5648
 
4.7%
2 4560
 
3.8%
3 4147
 
3.5%
4 4000
 
3.3%
5 3880
 
3.2%
6 3803
 
3.2%
8 3759
 
3.1%
Other values (7) 12087
 
10.1%

청구기호
Text

Distinct9819
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-23T06:37:09.916850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length12.3945
Min length7

Characters and Unicode

Total characters123945
Distinct characters628
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9666 ?
Unique (%)96.7%

Sample

1st row유아 539-신56ㅈ
2nd row234.8-슈884ㅎ
3rd row843.6-메68ㅁ-2
4th row843.6-사44ㅂ
5th row아동 843-P947w
ValueCountFrequency (%)
아동 2525
 
17.7%
유아 1426
 
10.0%
dvd 218
 
1.5%
오디오 38
 
0.3%
참고 29
 
0.2%
990-첫68 6
 
< 0.1%
747-풋293ㅁ 5
 
< 0.1%
911.05-이56ㅈ 4
 
< 0.1%
813.8-동95ㄱ 4
 
< 0.1%
747-영64 4
 
< 0.1%
Other values (9792) 9980
70.1%
2023-12-23T06:37:12.507866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 13746
 
11.1%
8 11580
 
9.3%
. 8765
 
7.1%
1 8617
 
7.0%
2 7381
 
6.0%
3 7283
 
5.9%
4 6553
 
5.3%
9 6081
 
4.9%
5 5960
 
4.8%
7 5461
 
4.4%
Other values (618) 42518
34.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 68091
54.9%
Other Letter 25238
 
20.4%
Dash Punctuation 13746
 
11.1%
Other Punctuation 8766
 
7.1%
Space Separator 4239
 
3.4%
Lowercase Letter 2770
 
2.2%
Uppercase Letter 882
 
0.7%
Math Symbol 213
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 4057
 
16.1%
동 2573
 
10.2%
ㅇ 1553
 
6.2%
유 1527
 
6.1%
ㅅ 1002
 
4.0%
김 766
 
3.0%
이 760
 
3.0%
ㄱ 737
 
2.9%
ㅈ 546
 
2.2%
ㄴ 519
 
2.1%
Other values (558) 11198
44.4%
Uppercase Letter
ValueCountFrequency (%)
D 456
51.7%
V 218
24.7%
M 29
 
3.3%
B 26
 
2.9%
S 21
 
2.4%
P 17
 
1.9%
H 12
 
1.4%
L 12
 
1.4%
R 11
 
1.2%
C 10
 
1.1%
Other values (13) 70
 
7.9%
Lowercase Letter
ValueCountFrequency (%)
v 2536
91.6%
a 22
 
0.8%
s 20
 
0.7%
b 20
 
0.7%
m 19
 
0.7%
t 16
 
0.6%
g 16
 
0.6%
p 15
 
0.5%
w 14
 
0.5%
o 11
 
0.4%
Other values (12) 81
 
2.9%
Decimal Number
ValueCountFrequency (%)
8 11580
17.0%
1 8617
12.7%
2 7381
10.8%
3 7283
10.7%
4 6553
9.6%
9 6081
8.9%
5 5960
8.8%
7 5461
8.0%
6 5041
7.4%
0 4134
 
6.1%
Other Punctuation
ValueCountFrequency (%)
. 8765
> 99.9%
, 1
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 13746
100.0%
Space Separator
ValueCountFrequency (%)
4239
100.0%
Math Symbol
ValueCountFrequency (%)
= 213
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 95055
76.7%
Hangul 25238
 
20.4%
Latin 3652
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 4057
 
16.1%
동 2573
 
10.2%
ㅇ 1553
 
6.2%
유 1527
 
6.1%
ㅅ 1002
 
4.0%
김 766
 
3.0%
이 760
 
3.0%
ㄱ 737
 
2.9%
ㅈ 546
 
2.2%
ㄴ 519
 
2.1%
Other values (558) 11198
44.4%
Latin
ValueCountFrequency (%)
v 2536
69.4%
D 456
 
12.5%
V 218
 
6.0%
M 29
 
0.8%
B 26
 
0.7%
a 22
 
0.6%
S 21
 
0.6%
s 20
 
0.5%
b 20
 
0.5%
m 19
 
0.5%
Other values (35) 285
 
7.8%
Common
ValueCountFrequency (%)
- 13746
14.5%
8 11580
12.2%
. 8765
9.2%
1 8617
9.1%
2 7381
7.8%
3 7283
7.7%
4 6553
6.9%
9 6081
6.4%
5 5960
6.3%
7 5461
 
5.7%
Other values (5) 13628
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 98707
79.6%
Hangul 17921
 
14.5%
Compat Jamo 7317
 
5.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 13746
13.9%
8 11580
11.7%
. 8765
8.9%
1 8617
8.7%
2 7381
7.5%
3 7283
7.4%
4 6553
 
6.6%
9 6081
 
6.2%
5 5960
 
6.0%
7 5461
 
5.5%
Other values (50) 17280
17.5%
Hangul
ValueCountFrequency (%)
아 4057
22.6%
동 2573
 
14.4%
유 1527
 
8.5%
김 766
 
4.3%
이 760
 
4.2%
박 320
 
1.8%
오 208
 
1.2%
정 202
 
1.1%
최 162
 
0.9%
한 158
 
0.9%
Other values (539) 7188
40.1%
Compat Jamo
ValueCountFrequency (%)
ㅇ 1553
21.2%
ㅅ 1002
13.7%
ㄱ 737
10.1%
ㅈ 546
 
7.5%
ㄴ 519
 
7.1%
ㅁ 501
 
6.8%
ㅎ 496
 
6.8%
ㅂ 418
 
5.7%
ㄷ 392
 
5.4%
ㅊ 302
 
4.1%
Other values (9) 851
11.6%

서명
Text

Distinct9888
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-23T06:37:14.085922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length124
Median length91
Mean length22.1964
Min length1

Characters and Unicode

Total characters221964
Distinct characters1802
Distinct categories16 ?
Distinct scripts6 ?
Distinct blocks14 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9782 ?
Unique (%)97.8%

Sample

1st row지렁이 울음소리를 들어 봐!
2nd row하늘은 땅에서 열린다 : 참 그리스도인을 위한 삶의 길잡이
3rd row미드나잇 선. 2
4th row바람둥이 완전정복 : 마크 사버스 장편소설
5th rowWho lives in your house. Who lives in the sea
ValueCountFrequency (%)
4699
 
8.3%
이야기 416
 
0.7%
장편소설 405
 
0.7%
2 267
 
0.5%
1 263
 
0.5%
내 203
 
0.4%
위한 185
 
0.3%
the 163
 
0.3%
우리 163
 
0.3%
나는 135
 
0.2%
Other values (23462) 49505
87.8%
2023-12-23T06:37:16.136343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
46430
 
20.9%
: 4597
 
2.1%
의 3914
 
1.8%
이 3856
 
1.7%
는 2938
 
1.3%
e 2311
 
1.0%
기 2135
 
1.0%
) 2114
 
1.0%
( 2114
 
1.0%
사 1931
 
0.9%
Other values (1792) 149624
67.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 134370
60.5%
Space Separator 46430
 
20.9%
Lowercase Letter 19939
 
9.0%
Other Punctuation 8828
 
4.0%
Decimal Number 4163
 
1.9%
Uppercase Letter 2859
 
1.3%
Close Punctuation 2175
 
1.0%
Open Punctuation 2175
 
1.0%
Math Symbol 819
 
0.4%
Dash Punctuation 172
 
0.1%
Other values (6) 34
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 3914
 
2.9%
이 3856
 
2.9%
는 2938
 
2.2%
기 2135
 
1.6%
사 1931
 
1.4%
리 1913
 
1.4%
가 1904
 
1.4%
한 1854
 
1.4%
다 1720
 
1.3%
지 1679
 
1.2%
Other values (1675) 110526
82.3%
Lowercase Letter
ValueCountFrequency (%)
e 2311
11.6%
o 1714
 
8.6%
a 1668
 
8.4%
i 1580
 
7.9%
n 1521
 
7.6%
t 1455
 
7.3%
r 1323
 
6.6%
s 1306
 
6.5%
h 927
 
4.6%
l 888
 
4.5%
Other values (17) 5246
26.3%
Uppercase Letter
ValueCountFrequency (%)
T 303
 
10.6%
S 282
 
9.9%
C 211
 
7.4%
D 165
 
5.8%
M 163
 
5.7%
B 158
 
5.5%
P 155
 
5.4%
A 147
 
5.1%
E 141
 
4.9%
I 118
 
4.1%
Other values (16) 1016
35.5%
Other Punctuation
ValueCountFrequency (%)
: 4597
52.1%
, 1793
 
20.3%
. 1282
 
14.5%
! 665
 
7.5%
' 210
 
2.4%
· 161
 
1.8%
＆ 62
 
0.7%
％ 14
 
0.2%
" 12
 
0.1%
& 10
 
0.1%
Other values (10) 22
 
0.2%
Decimal Number
ValueCountFrequency (%)
1 1125
27.0%
0 800
19.2%
2 703
16.9%
3 407
 
9.8%
5 271
 
6.5%
4 258
 
6.2%
6 169
 
4.1%
7 156
 
3.7%
9 138
 
3.3%
8 136
 
3.3%
Math Symbol
ValueCountFrequency (%)
= 722
88.2%
+ 34
 
4.2%
~ 31
 
3.8%
∼ 11
 
1.3%
> 7
 
0.9%
< 7
 
0.9%
| 4
 
0.5%
＋ 2
 
0.2%
× 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 2114
97.2%
] 50
 
2.3%
』 7
 
0.3%
》 2
 
0.1%
」 1
 
< 0.1%
〉 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 2114
97.2%
[ 50
 
2.3%
『 7
 
0.3%
《 2
 
0.1%
「 1
 
< 0.1%
〈 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 10
58.8%
Ⅰ 5
29.4%
Ⅲ 2
 
11.8%
Other Symbol
ValueCountFrequency (%)
ⓔ 7
63.6%
★ 2
 
18.2%
℃ 2
 
18.2%
Dash Punctuation
ValueCountFrequency (%)
- 171
99.4%
― 1
 
0.6%
Space Separator
ValueCountFrequency (%)
46430
100.0%
Initial Punctuation
ValueCountFrequency (%)
“ 2
100.0%
Final Punctuation
ValueCountFrequency (%)
” 2
100.0%
Control
ValueCountFrequency (%)
1
100.0%
Currency Symbol
ValueCountFrequency (%)
＄ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 133694
60.2%
Common 64779
29.2%
Latin 22815
 
10.3%
Han 588
 
0.3%
Hiragana 59
 
< 0.1%
Katakana 29
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 3914
 
2.9%
이 3856
 
2.9%
는 2938
 
2.2%
기 2135
 
1.6%
사 1931
 
1.4%
리 1913
 
1.4%
가 1904
 
1.4%
한 1854
 
1.4%
다 1720
 
1.3%
지 1679
 
1.3%
Other values (1301) 109850
82.2%
Han
ValueCountFrequency (%)
的 20
 
3.4%
大 16
 
2.7%
三 10
 
1.7%
國 9
 
1.5%
學 8
 
1.4%
小 8
 
1.4%
說 8
 
1.4%
生 7
 
1.2%
志 7
 
1.2%
人 7
 
1.2%
Other values (314) 488
83.0%
Common
ValueCountFrequency (%)
46430
71.7%
: 4597
 
7.1%
) 2114
 
3.3%
( 2114
 
3.3%
, 1793
 
2.8%
. 1282
 
2.0%
1 1125
 
1.7%
0 800
 
1.2%
= 722
 
1.1%
2 703
 
1.1%
Other values (51) 3099
 
4.8%
Latin
ValueCountFrequency (%)
e 2311
 
10.1%
o 1714
 
7.5%
a 1668
 
7.3%
i 1580
 
6.9%
n 1521
 
6.7%
t 1455
 
6.4%
r 1323
 
5.8%
s 1306
 
5.7%
h 927
 
4.1%
l 888
 
3.9%
Other values (46) 8122
35.6%
Hiragana
ValueCountFrequency (%)
の 7
 
11.9%
と 6
 
10.2%
り 4
 
6.8%
ひ 3
 
5.1%
こ 3
 
5.1%
ど 3
 
5.1%
め 2
 
3.4%
て 2
 
3.4%
る 2
 
3.4%
ろ 2
 
3.4%
Other values (19) 25
42.4%
Katakana
ValueCountFrequency (%)
パ 4
 
13.8%
ン 3
 
10.3%
グ 2
 
6.9%
ッ 2
 
6.9%
デ 2
 
6.9%
ィ 1
 
3.4%
エ 1
 
3.4%
バ 1
 
3.4%
ネ 1
 
3.4%
ウ 1
 
3.4%
Other values (11) 11
37.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 133685
60.2%
ASCII 87269
39.3%
CJK 578
 
0.3%
None 276
 
0.1%
Hiragana 59
 
< 0.1%
Katakana 29
 
< 0.1%
Number Forms 17
 
< 0.1%
Math Operators 11
 
< 0.1%
Punctuation 10
 
< 0.1%
CJK Compat Ideographs 10
 
< 0.1%
Other values (4) 20
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
46430
53.2%
: 4597
 
5.3%
e 2311
 
2.6%
) 2114
 
2.4%
( 2114
 
2.4%
, 1793
 
2.1%
o 1714
 
2.0%
a 1668
 
1.9%
i 1580
 
1.8%
n 1521
 
1.7%
Other values (77) 21427
24.6%
Hangul
ValueCountFrequency (%)
의 3914
 
2.9%
이 3856
 
2.9%
는 2938
 
2.2%
기 2135
 
1.6%
사 1931
 
1.4%
리 1913
 
1.4%
가 1904
 
1.4%
한 1854
 
1.4%
다 1720
 
1.3%
지 1679
 
1.3%
Other values (1296) 109841
82.2%
None
ValueCountFrequency (%)
· 161
58.3%
＆ 62
 
22.5%
％ 14
 
5.1%
đ 8
 
2.9%
『 7
 
2.5%
』 7
 
2.5%
！ 2
 
0.7%
《 2
 
0.7%
》 2
 
0.7%
＋ 2
 
0.7%
Other values (9) 9
 
3.3%
CJK
ValueCountFrequency (%)
的 20
 
3.5%
大 16
 
2.8%
三 10
 
1.7%
國 9
 
1.6%
學 8
 
1.4%
小 8
 
1.4%
說 8
 
1.4%
生 7
 
1.2%
志 7
 
1.2%
人 7
 
1.2%
Other values (307) 478
82.7%
Math Operators
ValueCountFrequency (%)
∼ 11
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 10
58.8%
Ⅰ 5
29.4%
Ⅲ 2
 
11.8%
Enclosed Alphanum
ValueCountFrequency (%)
ⓔ 7
100.0%
Hiragana
ValueCountFrequency (%)
の 7
 
11.9%
と 6
 
10.2%
り 4
 
6.8%
ひ 3
 
5.1%
こ 3
 
5.1%
ど 3
 
5.1%
め 2
 
3.4%
て 2
 
3.4%
る 2
 
3.4%
ろ 2
 
3.4%
Other values (19) 25
42.4%
Punctuation
ValueCountFrequency (%)
… 5
50.0%
“ 2
 
20.0%
” 2
 
20.0%
― 1
 
10.0%
Katakana
ValueCountFrequency (%)
パ 4
 
13.8%
ン 3
 
10.3%
グ 2
 
6.9%
ッ 2
 
6.9%
デ 2
 
6.9%
ィ 1
 
3.4%
エ 1
 
3.4%
バ 1
 
3.4%
ネ 1
 
3.4%
ウ 1
 
3.4%
Other values (11) 11
37.9%
CJK Compat Ideographs
ValueCountFrequency (%)
茶 3
30.0%
樂 2
20.0%
李 1
 
10.0%
律 1
 
10.0%
理 1
 
10.0%
金 1
 
10.0%
念 1
 
10.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
22.2%
ㄱ 2
22.2%
ㄴ 2
22.2%
ㄷ 2
22.2%
ㅗ 1
11.1%
Misc Symbols
ValueCountFrequency (%)
★ 2
100.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 2
100.0%

저작자
Text

Distinct8847
Distinct (%)88.5%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-23T06:37:17.541069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length112
Median length91
Mean length16.305031
Min length3

Characters and Unicode

Total characters163034
Distinct characters1189
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

Unique8174 ?
Unique (%)81.7%

Sample

1st row신순재 글 ; 장경혜 그림
2nd row루돌프 슈테르텐브링크 지음 ; 김선태 옮김
3rd row스테프니 메이어 지음 ; 심연희 옮김
4th row마크 사버스 지음 ; 권경희 옮김
5th rowby Priddy books
ValueCountFrequency (%)
8401
 
16.8%
지음 4729
 
9.4%
옮김 2927
 
5.8%
그림 2810
 
5.6%
글 2417
 
4.8%
글·그림 502
 
1.0%
저 385
 
0.8%
공]지음 357
 
0.7%
by 294
 
0.6%
엮음 253
 
0.5%
Other values (13396) 27021
53.9%
2023-12-23T06:37:20.187292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40194
24.7%
; 8400
 
5.2%
지 5987
 
3.7%
음 5506
 
3.4%
김 5331
 
3.3%
그 3644
 
2.2%
림 3550
 
2.2%
글 3233
 
2.0%
이 3213
 
2.0%
옮 3025
 
1.9%
Other values (1179) 80951
49.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 101126
62.0%
Space Separator 40194
 
24.7%
Other Punctuation 9631
 
5.9%
Lowercase Letter 7620
 
4.7%
Uppercase Letter 1776
 
1.1%
Close Punctuation 1286
 
0.8%
Open Punctuation 1285
 
0.8%
Dash Punctuation 67
 
< 0.1%
Math Symbol 20
 
< 0.1%
Decimal Number 17
 
< 0.1%
Other values (3) 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 5987
 
5.9%
음 5506
 
5.4%
김 5331
 
5.3%
그 3644
 
3.6%
림 3550
 
3.5%
글 3233
 
3.2%
이 3213
 
3.2%
옮 3025
 
3.0%
정 1577
 
1.6%
스 1557
 
1.5%
Other values (1092) 64503
63.8%
Lowercase Letter
ValueCountFrequency (%)
e 757
 
9.9%
a 705
 
9.3%
n 648
 
8.5%
i 604
 
7.9%
r 576
 
7.6%
l 523
 
6.9%
t 518
 
6.8%
o 480
 
6.3%
y 449
 
5.9%
s 364
 
4.8%
Other values (17) 1996
26.2%
Uppercase Letter
ValueCountFrequency (%)
B 168
 
9.5%
S 159
 
9.0%
M 148
 
8.3%
J 138
 
7.8%
A 121
 
6.8%
C 104
 
5.9%
T 92
 
5.2%
K 87
 
4.9%
D 87
 
4.9%
L 86
 
4.8%
Other values (16) 586
33.0%
Other Punctuation
ValueCountFrequency (%)
; 8400
87.2%
· 741
 
7.7%
. 396
 
4.1%
, 33
 
0.3%
: 32
 
0.3%
＆ 14
 
0.1%
/ 6
 
0.1%
' 5
 
0.1%
& 4
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 3
17.6%
2 3
17.6%
4 3
17.6%
3 3
17.6%
0 2
11.8%
6 1
 
5.9%
5 1
 
5.9%
8 1
 
5.9%
Close Punctuation
ValueCountFrequency (%)
] 1272
98.9%
〉 9
 
0.7%
) 2
 
0.2%
』 2
 
0.2%
」 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
[ 1271
98.9%
〈 9
 
0.7%
( 2
 
0.2%
『 2
 
0.2%
「 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
> 10
50.0%
< 10
50.0%
Space Separator
ValueCountFrequency (%)
40194
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 67
100.0%
Control
ValueCountFrequency (%)
7
100.0%
Other Symbol
ValueCountFrequency (%)
ⓔ 4
100.0%
Modifier Symbol
ValueCountFrequency (%)
˙ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 100626
61.7%
Common 52512
32.2%
Latin 9396
 
5.8%
Han 479
 
0.3%
Hiragana 11
 
< 0.1%
Katakana 10
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 5987
 
5.9%
음 5506
 
5.5%
김 5331
 
5.3%
그 3644
 
3.6%
림 3550
 
3.5%
글 3233
 
3.2%
이 3213
 
3.2%
옮 3025
 
3.0%
정 1577
 
1.6%
스 1557
 
1.5%
Other values (896) 64003
63.6%
Han
ValueCountFrequency (%)
著 36
 
7.5%
斯 21
 
4.4%
文 11
 
2.3%
典 11
 
2.3%
克 11
 
2.3%
科 10
 
2.1%
山 10
 
2.1%
編 9
 
1.9%
作 9
 
1.9%
德 8
 
1.7%
Other values (167) 343
71.6%
Latin
ValueCountFrequency (%)
e 757
 
8.1%
a 705
 
7.5%
n 648
 
6.9%
i 604
 
6.4%
r 576
 
6.1%
l 523
 
5.6%
t 518
 
5.5%
o 480
 
5.1%
y 449
 
4.8%
s 364
 
3.9%
Other values (43) 3772
40.1%
Common
ValueCountFrequency (%)
40194
76.5%
; 8400
 
16.0%
] 1272
 
2.4%
[ 1271
 
2.4%
· 741
 
1.4%
. 396
 
0.8%
- 67
 
0.1%
, 33
 
0.1%
: 32
 
0.1%
＆ 14
 
< 0.1%
Other values (24) 92
 
0.2%
Katakana
ValueCountFrequency (%)
グ 1
10.0%
ン 1
10.0%
ニ 1
10.0%
ラ 1
10.0%
プ 1
10.0%
ク 1
10.0%
ッ 1
10.0%
ィ 1
10.0%
テ 1
10.0%
ブ 1
10.0%
Hiragana
ValueCountFrequency (%)
ぎ 2
18.2%
お 2
18.2%
や 1
9.1%
な 1
9.1%
ち 1
9.1%
か 1
9.1%
み 1
9.1%
の 1
9.1%
こ 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 100622
61.7%
ASCII 61123
37.5%
None 780
 
0.5%
CJK 476
 
0.3%
Hiragana 11
 
< 0.1%
Katakana 10
 
< 0.1%
Compat Jamo 4
 
< 0.1%
Enclosed Alphanum 4
 
< 0.1%
CJK Compat Ideographs 3
 
< 0.1%
Modifier Letters 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40194
65.8%
; 8400
 
13.7%
] 1272
 
2.1%
[ 1271
 
2.1%
e 757
 
1.2%
a 705
 
1.2%
n 648
 
1.1%
i 604
 
1.0%
r 576
 
0.9%
l 523
 
0.9%
Other values (66) 6173
 
10.1%
Hangul
ValueCountFrequency (%)
지 5987
 
5.9%
음 5506
 
5.5%
김 5331
 
5.3%
그 3644
 
3.6%
림 3550
 
3.5%
글 3233
 
3.2%
이 3213
 
3.2%
옮 3025
 
3.0%
정 1577
 
1.6%
스 1557
 
1.5%
Other values (895) 63999
63.6%
None
ValueCountFrequency (%)
· 741
95.0%
＆ 14
 
1.8%
〉 9
 
1.2%
〈 9
 
1.2%
『 2
 
0.3%
』 2
 
0.3%
」 1
 
0.1%
「 1
 
0.1%
đ 1
 
0.1%
CJK
ValueCountFrequency (%)
著 36
 
7.6%
斯 21
 
4.4%
文 11
 
2.3%
典 11
 
2.3%
克 11
 
2.3%
科 10
 
2.1%
山 10
 
2.1%
編 9
 
1.9%
作 9
 
1.9%
德 8
 
1.7%
Other values (166) 340
71.4%
Compat Jamo
ValueCountFrequency (%)
ㆍ 4
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
ⓔ 4
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
李 3
100.0%
Hiragana
ValueCountFrequency (%)
ぎ 2
18.2%
お 2
18.2%
や 1
9.1%
な 1
9.1%
ち 1
9.1%
か 1
9.1%
み 1
9.1%
の 1
9.1%
こ 1
9.1%
Katakana
ValueCountFrequency (%)
グ 1
10.0%
ン 1
10.0%
ニ 1
10.0%
ラ 1
10.0%
プ 1
10.0%
ク 1
10.0%
ッ 1
10.0%
ィ 1
10.0%
テ 1
10.0%
ブ 1
10.0%
Modifier Letters
ValueCountFrequency (%)
˙ 1
100.0%

발행자
Text

Distinct2619
Distinct (%)26.2%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-23T06:37:21.493238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length41
Mean length5.3065307
Min length1

Characters and Unicode

Total characters53060
Distinct characters793
Distinct categories10 ?
Distinct scripts6 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1382 ?
Unique (%)13.8%

Sample

1st row창비
2nd row바오로딸
3rd row북폴리오
4th row레드박스
5th rowPriddy books
ValueCountFrequency (%)
웅진씽크빅:웅진다책 533
 
5.1%
창비 146
 
1.4%
문학동네 138
 
1.3%
신원문화사 129
 
1.2%
비룡소 91
 
0.9%
21세기북스 83
 
0.8%
서울문화사 80
 
0.8%
위즈덤하우스 79
 
0.8%
김영사 66
 
0.6%
books 58
 
0.6%
Other values (2661) 8963
86.5%
2023-12-23T06:37:23.702057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 1734
 
3.3%
: 1665
 
3.1%
진 1486
 
2.8%
웅 1388
 
2.6%
사 1365
 
2.6%
이 1195
 
2.3%
북 1167
 
2.2%
책 908
 
1.7%
어 874
 
1.6%
다 820
 
1.5%
Other values (783) 40458
76.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 45370
85.5%
Lowercase Letter 3962
 
7.5%
Other Punctuation 1780
 
3.4%
Uppercase Letter 1316
 
2.5%
Space Separator 367
 
0.7%
Decimal Number 242
 
0.5%
Dash Punctuation 12
 
< 0.1%
Open Punctuation 5
 
< 0.1%
Close Punctuation 5
 
< 0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 1734
 
3.8%
진 1486
 
3.3%
웅 1388
 
3.1%
사 1365
 
3.0%
이 1195
 
2.6%
북 1167
 
2.6%
책 908
 
2.0%
어 874
 
1.9%
다 820
 
1.8%
문 815
 
1.8%
Other values (706) 33618
74.1%
Lowercase Letter
ValueCountFrequency (%)
o 585
14.8%
s 373
 
9.4%
r 313
 
7.9%
a 313
 
7.9%
i 304
 
7.7%
n 303
 
7.6%
e 297
 
7.5%
k 205
 
5.2%
l 185
 
4.7%
h 131
 
3.3%
Other values (16) 953
24.1%
Uppercase Letter
ValueCountFrequency (%)
B 206
15.7%
M 143
10.9%
H 140
10.6%
S 94
 
7.1%
P 87
 
6.6%
C 84
 
6.4%
K 83
 
6.3%
R 74
 
5.6%
L 43
 
3.3%
T 41
 
3.1%
Other values (14) 321
24.4%
Other Punctuation
ValueCountFrequency (%)
: 1665
93.5%
＆ 59
 
3.3%
. 24
 
1.3%
& 12
 
0.7%
, 5
 
0.3%
' 4
 
0.2%
/ 4
 
0.2%
# 3
 
0.2%
; 2
 
0.1%
· 2
 
0.1%
Decimal Number
ValueCountFrequency (%)
1 110
45.5%
2 107
44.2%
0 9
 
3.7%
3 5
 
2.1%
8 3
 
1.2%
4 2
 
0.8%
5 2
 
0.8%
9 2
 
0.8%
7 1
 
0.4%
6 1
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 3
60.0%
[ 2
40.0%
Close Punctuation
ValueCountFrequency (%)
) 3
60.0%
] 2
40.0%
Space Separator
ValueCountFrequency (%)
367
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 45085
85.0%
Latin 5278
 
9.9%
Common 2412
 
4.5%
Han 268
 
0.5%
Katakana 16
 
< 0.1%
Hiragana 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 1734
 
3.8%
진 1486
 
3.3%
웅 1388
 
3.1%
사 1365
 
3.0%
이 1195
 
2.7%
북 1167
 
2.6%
책 908
 
2.0%
어 874
 
1.9%
다 820
 
1.8%
문 815
 
1.8%
Other values (611) 33333
73.9%
Han
ValueCountFrequency (%)
社 35
 
13.1%
版 34
 
12.7%
出 34
 
12.7%
文 8
 
3.0%
民 7
 
2.6%
北 7
 
2.6%
中 6
 
2.2%
人 5
 
1.9%
年 5
 
1.9%
童 5
 
1.9%
Other values (70) 122
45.5%
Latin
ValueCountFrequency (%)
o 585
 
11.1%
s 373
 
7.1%
r 313
 
5.9%
a 313
 
5.9%
i 304
 
5.8%
n 303
 
5.7%
e 297
 
5.6%
B 206
 
3.9%
k 205
 
3.9%
l 185
 
3.5%
Other values (40) 2194
41.6%
Common
ValueCountFrequency (%)
: 1665
69.0%
367
 
15.2%
1 110
 
4.6%
2 107
 
4.4%
＆ 59
 
2.4%
. 24
 
1.0%
- 12
 
0.5%
& 12
 
0.5%
0 9
 
0.4%
, 5
 
0.2%
Other values (17) 42
 
1.7%
Katakana
ValueCountFrequency (%)
ィ 2
12.5%
フ 2
12.5%
メ 1
 
6.2%
デ 1
 
6.2%
ア 1
 
6.2%
ソ 1
 
6.2%
ト 1
 
6.2%
ル 1
 
6.2%
ベ 1
 
6.2%
レ 1
 
6.2%
Other values (4) 4
25.0%
Hiragana
ValueCountFrequency (%)
の 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 45085
85.0%
ASCII 7629
 
14.4%
CJK 268
 
0.5%
None 61
 
0.1%
Katakana 16
 
< 0.1%
Hiragana 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 1734
 
3.8%
진 1486
 
3.3%
웅 1388
 
3.1%
사 1365
 
3.0%
이 1195
 
2.7%
북 1167
 
2.6%
책 908
 
2.0%
어 874
 
1.9%
다 820
 
1.8%
문 815
 
1.8%
Other values (611) 33333
73.9%
ASCII
ValueCountFrequency (%)
: 1665
21.8%
o 585
 
7.7%
s 373
 
4.9%
367
 
4.8%
r 313
 
4.1%
a 313
 
4.1%
i 304
 
4.0%
n 303
 
4.0%
e 297
 
3.9%
B 206
 
2.7%
Other values (65) 2903
38.1%
None
ValueCountFrequency (%)
＆ 59
96.7%
· 2
 
3.3%
CJK
ValueCountFrequency (%)
社 35
 
13.1%
版 34
 
12.7%
出 34
 
12.7%
文 8
 
3.0%
民 7
 
2.6%
北 7
 
2.6%
中 6
 
2.2%
人 5
 
1.9%
年 5
 
1.9%
童 5
 
1.9%
Other values (70) 122
45.5%
Katakana
ValueCountFrequency (%)
ィ 2
12.5%
フ 2
12.5%
メ 1
 
6.2%
デ 1
 
6.2%
ア 1
 
6.2%
ソ 1
 
6.2%
ト 1
 
6.2%
ル 1
 
6.2%
ベ 1
 
6.2%
レ 1
 
6.2%
Other values (4) 4
25.0%
Hiragana
ValueCountFrequency (%)
の 1
100.0%

발행년
Text

Distinct55
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-23T06:37:24.620850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length4
Mean length4.0026
Min length4

Characters and Unicode

Total characters40026
Distinct characters14
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)0.2%

Sample

1st row2010
2nd row2011
3rd row2021
4th row2011
5th row2003
ValueCountFrequency (%)
2011 2203
22.0%
2010 1349
13.5%
2014 845
 
8.5%
2012 749
 
7.5%
2016 734
 
7.3%
2013 677
 
6.8%
2015 656
 
6.6%
2017 475
 
4.8%
2020 433
 
4.3%
2018 344
 
3.4%
Other values (41) 1535
15.3%
2023-12-23T06:37:26.504689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 12711
31.8%
2 11172
27.9%
1 10793
27.0%
4 900
 
2.2%
9 858
 
2.1%
6 849
 
2.1%
3 746
 
1.9%
5 741
 
1.9%
7 698
 
1.7%
8 535
 
1.3%
Other values (4) 23
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 40003
99.9%
Open Punctuation 9
 
< 0.1%
Close Punctuation 9
 
< 0.1%
Lowercase Letter 3
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12711
31.8%
2 11172
27.9%
1 10793
27.0%
4 900
 
2.2%
9 858
 
2.1%
6 849
 
2.1%
3 746
 
1.9%
5 741
 
1.9%
7 698
 
1.7%
8 535
 
1.3%
Open Punctuation
ValueCountFrequency (%)
[ 9
100.0%
Close Punctuation
ValueCountFrequency (%)
] 9
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 3
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 40023
> 99.9%
Latin 3
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 12711
31.8%
2 11172
27.9%
1 10793
27.0%
4 900
 
2.2%
9 858
 
2.1%
6 849
 
2.1%
3 746
 
1.9%
5 741
 
1.9%
7 698
 
1.7%
8 535
 
1.3%
Other values (3) 20
 
< 0.1%
Latin
ValueCountFrequency (%)
c 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 40026
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 12711
31.8%
2 11172
27.9%
1 10793
27.0%
4 900
 
2.2%
9 858
 
2.1%
6 849
 
2.1%
3 746
 
1.9%
5 741
 
1.9%
7 698
 
1.7%
8 535
 
1.3%
Other values (4) 23
 
0.1%

Interactions

2023-12-23T06:37:03.336851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-23T06:37:26.956783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번발행년
순번1.0000.925
발행년0.9251.000

Missing values

2023-12-23T06:37:04.211078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-23T06:37:04.734157image/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.
2023-12-23T06:37:05.270137image/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

순번등록번호청구기호서명저작자발행자발행년
27872788CM0000000356유아 539-신56ㅈ지렁이 울음소리를 들어 봐!신순재 글 ; 장경혜 그림창비2010
77457746GM0000003252234.8-슈884ㅎ하늘은 땅에서 열린다 : 참 그리스도인을 위한 삶의 길잡이루돌프 슈테르텐브링크 지음 ; 김선태 옮김바오로딸2011
3850338509GM0000021288843.6-메68ㅁ-2미드나잇 선. 2스테프니 메이어 지음 ; 심연희 옮김북폴리오2021
1428614287GM0000007313843.6-사44ㅂ바람둥이 완전정복 : 마크 사버스 장편소설마크 사버스 지음 ; 권경희 옮김레드박스2011
2533525339EM0000006807아동 843-P947wWho lives in your house. Who lives in the seaby Priddy booksPriddy books2003
2373023734CM0000003332유아 813-프293-v.4쌀이 된 프랭키리퀴드 브레인 [편]거북이북스2014
1858018583EM0000005007아동 808.91-세14-v.3(공부가 되는)세계명단편. 3알퐁스 도데 외 원작 ; 글공작소 엮음아름다운사람들2013
1425214253EM0000003368아동 843-B219s(The)story of little BabajiHelen Bannerman 저 ; Fred Marcellino 그림HarperThropy1996
1349813499GM0000007010843.5-테68ㅍ프랜차이즈 저택 사건조세핀 테이 지음 ; 권영주 옮김시공사:검은숲2011
43834384EM0000000317아동 320-날12ㅃ-v.2뿡야의 지구별 경제 탐험. 2:, 똑똑사탕 공장으로 간 뿡야날개달린연필 글 ; 이영림 그림 ; 유진영 감수파란자전거2010
순번등록번호청구기호서명저작자발행자발행년
1187811879CM0000002213유아 808-마56-v.3꼬꼬의 아기정영숙 글 ; 차정인 그림웅진씽크빅:웅진다책2011
78397840GM0000003935476.1-피55ㅇ유전자 개념의 역사앙드레 피쇼 지음 ; 이정희 옮김나남2010
2663226637CM0000003811유아 833-고38ㅈ저리 비켜고미 타로 글·그림 ; 한수연 옮김시공사:시공주니어2005
1132511326EM0000002853아동 802-어298-v.5나는 누구일까김종옥 글 ; 김영수 그림웅진씽크빅:웅진다책2007
1728117284GM0000009262813.8-정82ㄴ눈동자 속으로 흐르는 강물 : 정채봉 동화집정채봉 지음문학아카데미1997
41794180EM0000000601아동 511.18-스875ㄴ뇌과학이 알려주는 잠의 비밀일레인 스콧 글 ; 존 오브라이언 그림 ; 이충호 옮김내인생의책2009
74577458GM0000003286321.9-앨887ㅇ10년 후 미래 : 세계 경제의 운명을 바꿀 12가지 트렌드대니얼 앨트먼 지음 ; 고영태 옮김청림출판2011
3533535341GM0000019701큰802-임74ㄱ(임정섭의)글쓰기 훈련소 : 내 문장이 그렇게 유치한가요임정섭 지음다산초당2019
1269312694GM0000006192234.8-터874ㅎ하나님, 그만 먹고 싶어요 : 음식중독에서 벗어나는 영적훈련 다이어트리사 터커스트 지음 ; 김진선 옮김KOREA.COM:대성2011
3821938225GM0000021272814.7-백56ㄷ다정한 매일매일 : 빵과 책을 굽는 마음 : 백수린 산문백수린 지음작가정신2020