Overview

Dataset statistics

Number of variables5
Number of observations534
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory22.0 KiB
Average record size in memory42.2 B

Variable types

Numeric2
Text3

Dataset

DescriptionIBK기업은행 도서실 內 보유 중인 신착 도서 목록을 csv 파일로 제공합니다. *제공정보 : 도서명, 출판사, 저자 등
URLhttps://www.data.go.kr/data/15047845/fileData.do

Alerts

연번 has unique valuesUnique
서명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:13:07.537349
Analysis finished2023-12-12 22:13:08.910939
Duration1.37 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct534
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean267.5
Minimum1
Maximum534
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-12-13T07:13:08.990183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile27.65
Q1134.25
median267.5
Q3400.75
95-th percentile507.35
Maximum534
Range533
Interquartile range (IQR)266.5

Descriptive statistics

Standard deviation154.29679
Coefficient of variation (CV)0.57681044
Kurtosis-1.2
Mean267.5
Median Absolute Deviation (MAD)133.5
Skewness0
Sum142845
Variance23807.5
MonotonicityStrictly increasing
2023-12-13T07:13:09.135831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
353 1
 
0.2%
367 1
 
0.2%
366 1
 
0.2%
365 1
 
0.2%
364 1
 
0.2%
363 1
 
0.2%
362 1
 
0.2%
361 1
 
0.2%
360 1
 
0.2%
Other values (524) 524
98.1%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
534 1
0.2%
533 1
0.2%
532 1
0.2%
531 1
0.2%
530 1
0.2%
529 1
0.2%
528 1
0.2%
527 1
0.2%
526 1
0.2%
525 1
0.2%

서명
Text

UNIQUE 

Distinct534
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
2023-12-13T07:13:09.470689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length80
Median length47
Mean length28.67603
Min length1

Characters and Unicode

Total characters15313
Distinct characters776
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

Unique534 ?
Unique (%)100.0%

Sample

1st row(10년 후 100배 오를) 암호화폐에 투자하라 : 지금까지 없었던 암호화폐 실전투자의 정석
2nd row(17년 차 현직 교사가 알려주는) 두근두근 초등 1학년 입학 준비
3rd row(2022) 부동산세 완전정복 : 슬기로운 부동산 세테크의 모든 것
4th row(2050) 에너지 제국의 미래
5th row(3개의 질문으로) 주식시장을 이기다
ValueCountFrequency (%)
377
 
9.1%
위한 32
 
0.8%
장편소설 22
 
0.5%
부동산 19
 
0.5%
에세이 18
 
0.4%
한 17
 
0.4%
투자 17
 
0.4%
데이터 16
 
0.4%
법 15
 
0.4%
어떻게 15
 
0.4%
Other values (2521) 3593
86.8%
2023-12-13T07:13:10.016116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3673
 
24.0%
: 372
 
2.4%
의 322
 
2.1%
는 296
 
1.9%
이 289
 
1.9%
가 176
 
1.1%
하 166
 
1.1%
한 164
 
1.1%
지 160
 
1.0%
기 159
 
1.0%
Other values (766) 9536
62.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10473
68.4%
Space Separator 3673
 
24.0%
Other Punctuation 551
 
3.6%
Decimal Number 213
 
1.4%
Uppercase Letter 133
 
0.9%
Lowercase Letter 129
 
0.8%
Open Punctuation 67
 
0.4%
Close Punctuation 67
 
0.4%
Math Symbol 6
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 322
 
3.1%
는 296
 
2.8%
이 289
 
2.8%
가 176
 
1.7%
하 166
 
1.6%
한 164
 
1.6%
지 160
 
1.5%
기 159
 
1.5%
에 149
 
1.4%
을 143
 
1.4%
Other values (692) 8449
80.7%
Uppercase Letter
ValueCountFrequency (%)
R 16
12.0%
T 15
11.3%
E 10
 
7.5%
I 10
 
7.5%
A 10
 
7.5%
D 8
 
6.0%
B 8
 
6.0%
S 7
 
5.3%
M 7
 
5.3%
C 5
 
3.8%
Other values (14) 37
27.8%
Lowercase Letter
ValueCountFrequency (%)
v 16
12.4%
i 15
11.6%
e 12
 
9.3%
t 10
 
7.8%
o 9
 
7.0%
a 8
 
6.2%
n 7
 
5.4%
r 7
 
5.4%
l 7
 
5.4%
c 6
 
4.7%
Other values (12) 32
24.8%
Other Punctuation
ValueCountFrequency (%)
: 372
67.5%
, 112
 
20.3%
. 25
 
4.5%
' 11
 
2.0%
· 10
 
1.8%
? 9
 
1.6%
! 7
 
1.3%
& 2
 
0.4%
% 2
 
0.4%
/ 1
 
0.2%
Decimal Number
ValueCountFrequency (%)
2 46
21.6%
1 39
18.3%
0 37
17.4%
5 24
11.3%
3 18
 
8.5%
4 17
 
8.0%
7 15
 
7.0%
6 9
 
4.2%
9 7
 
3.3%
8 1
 
0.5%
Open Punctuation
ValueCountFrequency (%)
( 66
98.5%
「 1
 
1.5%
Close Punctuation
ValueCountFrequency (%)
) 66
98.5%
」 1
 
1.5%
Math Symbol
ValueCountFrequency (%)
= 4
66.7%
+ 2
33.3%
Space Separator
ValueCountFrequency (%)
3673
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10470
68.4%
Common 4578
29.9%
Latin 262
 
1.7%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 322
 
3.1%
는 296
 
2.8%
이 289
 
2.8%
가 176
 
1.7%
하 166
 
1.6%
한 164
 
1.6%
지 160
 
1.5%
기 159
 
1.5%
에 149
 
1.4%
을 143
 
1.4%
Other values (689) 8446
80.7%
Latin
ValueCountFrequency (%)
v 16
 
6.1%
R 16
 
6.1%
i 15
 
5.7%
T 15
 
5.7%
e 12
 
4.6%
t 10
 
3.8%
E 10
 
3.8%
I 10
 
3.8%
A 10
 
3.8%
o 9
 
3.4%
Other values (36) 139
53.1%
Common
ValueCountFrequency (%)
3673
80.2%
: 372
 
8.1%
, 112
 
2.4%
( 66
 
1.4%
) 66
 
1.4%
2 46
 
1.0%
1 39
 
0.9%
0 37
 
0.8%
. 25
 
0.5%
5 24
 
0.5%
Other values (18) 118
 
2.6%
Han
ValueCountFrequency (%)
文 1
33.3%
空 1
33.3%
富 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10470
68.4%
ASCII 4828
31.5%
None 12
 
0.1%
CJK 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3673
76.1%
: 372
 
7.7%
, 112
 
2.3%
( 66
 
1.4%
) 66
 
1.4%
2 46
 
1.0%
1 39
 
0.8%
0 37
 
0.8%
. 25
 
0.5%
5 24
 
0.5%
Other values (61) 368
 
7.6%
Hangul
ValueCountFrequency (%)
의 322
 
3.1%
는 296
 
2.8%
이 289
 
2.8%
가 176
 
1.7%
하 166
 
1.6%
한 164
 
1.6%
지 160
 
1.5%
기 159
 
1.5%
에 149
 
1.4%
을 143
 
1.4%
Other values (689) 8446
80.7%
None
ValueCountFrequency (%)
· 10
83.3%
「 1
 
8.3%
」 1
 
8.3%
CJK
ValueCountFrequency (%)
文 1
33.3%
空 1
33.3%
富 1
33.3%

저자
Text

Distinct492
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
2023-12-13T07:13:10.582661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length3
Mean length6.741573
Min length2

Characters and Unicode

Total characters3600
Distinct characters336
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique466 ?
Unique (%)87.3%

Sample

1st row박종한
2nd row하유정
3rd row택스워치
4th row양수영
5th rowFisher, Kenneth L
ValueCountFrequency (%)
herbert 6
 
0.8%
미야베 6
 
0.8%
frank 6
 
0.8%
미유키 6
 
0.8%
william 6
 
0.8%
猫 6
 
0.8%
東野圭吾 6
 
0.8%
mark 5
 
0.7%
l 4
 
0.5%
h 4
 
0.5%
Other values (633) 704
92.8%
2023-12-13T07:13:10.977045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
225
 
6.2%
a 195
 
5.4%
e 186
 
5.2%
r 171
 
4.8%
, 171
 
4.8%
n 139
 
3.9%
i 124
 
3.4%
l 113
 
3.1%
o 96
 
2.7%
김 74
 
2.1%
Other values (326) 2106
58.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1577
43.8%
Other Letter 1234
34.3%
Uppercase Letter 363
 
10.1%
Space Separator 225
 
6.2%
Other Punctuation 192
 
5.3%
Dash Punctuation 3
 
0.1%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 74
 
6.0%
이 37
 
3.0%
정 35
 
2.8%
경 29
 
2.4%
미 28
 
2.3%
영 27
 
2.2%
박 27
 
2.2%
유 22
 
1.8%
최 18
 
1.5%
현 17
 
1.4%
Other values (265) 920
74.6%
Lowercase Letter
ValueCountFrequency (%)
a 195
12.4%
e 186
11.8%
r 171
10.8%
n 139
 
8.8%
i 124
 
7.9%
l 113
 
7.2%
o 96
 
6.1%
h 70
 
4.4%
s 68
 
4.3%
t 64
 
4.1%
Other values (16) 351
22.3%
Uppercase Letter
ValueCountFrequency (%)
H 36
 
9.9%
B 34
 
9.4%
S 31
 
8.5%
M 25
 
6.9%
C 23
 
6.3%
W 21
 
5.8%
K 21
 
5.8%
P 19
 
5.2%
F 17
 
4.7%
J 17
 
4.7%
Other values (13) 119
32.8%
Other Punctuation
ValueCountFrequency (%)
, 171
89.1%
. 14
 
7.3%
? 6
 
3.1%
' 1
 
0.5%
Open Punctuation
ValueCountFrequency (%)
〈 1
50.0%
( 1
50.0%
Close Punctuation
ValueCountFrequency (%)
〉 1
50.0%
) 1
50.0%
Math Symbol
ValueCountFrequency (%)
> 1
50.0%
< 1
50.0%
Space Separator
ValueCountFrequency (%)
225
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1940
53.9%
Hangul 1144
31.8%
Common 426
 
11.8%
Han 90
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 74
 
6.5%
이 37
 
3.2%
정 35
 
3.1%
경 29
 
2.5%
미 28
 
2.4%
영 27
 
2.4%
박 27
 
2.4%
유 22
 
1.9%
최 18
 
1.6%
현 17
 
1.5%
Other values (209) 830
72.6%
Han
ValueCountFrequency (%)
野 7
 
7.8%
吾 7
 
7.8%
圭 6
 
6.7%
東 6
 
6.7%
猫 6
 
6.7%
田 3
 
3.3%
春 2
 
2.2%
樹 2
 
2.2%
井 2
 
2.2%
啓 2
 
2.2%
Other values (46) 47
52.2%
Latin
ValueCountFrequency (%)
a 195
 
10.1%
e 186
 
9.6%
r 171
 
8.8%
n 139
 
7.2%
i 124
 
6.4%
l 113
 
5.8%
o 96
 
4.9%
h 70
 
3.6%
s 68
 
3.5%
t 64
 
3.3%
Other values (39) 714
36.8%
Common
ValueCountFrequency (%)
225
52.8%
, 171
40.1%
. 14
 
3.3%
? 6
 
1.4%
- 3
 
0.7%
〈 1
 
0.2%
〉 1
 
0.2%
' 1
 
0.2%
> 1
 
0.2%
< 1
 
0.2%
Other values (2) 2
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2364
65.7%
Hangul 1144
31.8%
CJK 88
 
2.4%
CJK Compat Ideographs 2
 
0.1%
None 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
225
 
9.5%
a 195
 
8.2%
e 186
 
7.9%
r 171
 
7.2%
, 171
 
7.2%
n 139
 
5.9%
i 124
 
5.2%
l 113
 
4.8%
o 96
 
4.1%
h 70
 
3.0%
Other values (49) 874
37.0%
Hangul
ValueCountFrequency (%)
김 74
 
6.5%
이 37
 
3.2%
정 35
 
3.1%
경 29
 
2.5%
미 28
 
2.4%
영 27
 
2.4%
박 27
 
2.4%
유 22
 
1.9%
최 18
 
1.6%
현 17
 
1.5%
Other values (209) 830
72.6%
CJK
ValueCountFrequency (%)
野 7
 
8.0%
吾 7
 
8.0%
圭 6
 
6.8%
東 6
 
6.8%
猫 6
 
6.8%
田 3
 
3.4%
春 2
 
2.3%
樹 2
 
2.3%
井 2
 
2.3%
啓 2
 
2.3%
Other values (44) 45
51.1%
CJK Compat Ideographs
ValueCountFrequency (%)
綾 1
50.0%
李 1
50.0%
None
ValueCountFrequency (%)
〈 1
50.0%
〉 1
50.0%

출판사
Text

Distinct302
Distinct (%)56.6%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
2023-12-13T07:13:11.208261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length12
Mean length4.5524345
Min length1

Characters and Unicode

Total characters2431
Distinct characters354
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique205 ?
Unique (%)38.4%

Sample

1st row나비의활주로
2nd row빅피시
3rd row어바웃어북
4th row비즈니스북스
5th row비즈니스맵
ValueCountFrequency (%)
위즈덤하우스 14
 
2.6%
문학동네 10
 
1.8%
한빛미디어 8
 
1.5%
비즈니스북스 8
 
1.5%
황금가지 8
 
1.5%
인플루엔셜 8
 
1.5%
리더스북 6
 
1.1%
길벗 6
 
1.1%
더퀘스트 6
 
1.1%
김영사 6
 
1.1%
Other values (299) 463
85.3%
2023-12-13T07:13:11.567430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 167
 
6.9%
북 96
 
3.9%
이 70
 
2.9%
사 70
 
2.9%
어 46
 
1.9%
디 40
 
1.6%
미 38
 
1.6%
리 38
 
1.6%
지 37
 
1.5%
한 36
 
1.5%
Other values (344) 1793
73.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2295
94.4%
Lowercase Letter 67
 
2.8%
Uppercase Letter 38
 
1.6%
Decimal Number 13
 
0.5%
Space Separator 9
 
0.4%
Open Punctuation 4
 
0.2%
Close Punctuation 4
 
0.2%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 167
 
7.3%
북 96
 
4.2%
이 70
 
3.1%
사 70
 
3.1%
어 46
 
2.0%
디 40
 
1.7%
미 38
 
1.7%
리 38
 
1.7%
지 37
 
1.6%
한 36
 
1.6%
Other values (303) 1657
72.2%
Lowercase Letter
ValueCountFrequency (%)
o 10
14.9%
s 8
11.9%
e 7
10.4%
t 5
 
7.5%
i 5
 
7.5%
b 5
 
7.5%
k 4
 
6.0%
n 4
 
6.0%
r 3
 
4.5%
u 3
 
4.5%
Other values (8) 13
19.4%
Uppercase Letter
ValueCountFrequency (%)
B 7
18.4%
S 6
15.8%
O 3
7.9%
C 3
7.9%
K 3
7.9%
I 2
 
5.3%
E 2
 
5.3%
R 2
 
5.3%
H 2
 
5.3%
Y 1
 
2.6%
Other values (7) 7
18.4%
Decimal Number
ValueCountFrequency (%)
2 9
69.2%
1 4
30.8%
Space Separator
ValueCountFrequency (%)
9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2295
94.4%
Latin 105
 
4.3%
Common 31
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 167
 
7.3%
북 96
 
4.2%
이 70
 
3.1%
사 70
 
3.1%
어 46
 
2.0%
디 40
 
1.7%
미 38
 
1.7%
리 38
 
1.7%
지 37
 
1.6%
한 36
 
1.6%
Other values (303) 1657
72.2%
Latin
ValueCountFrequency (%)
o 10
 
9.5%
s 8
 
7.6%
e 7
 
6.7%
B 7
 
6.7%
S 6
 
5.7%
t 5
 
4.8%
i 5
 
4.8%
b 5
 
4.8%
k 4
 
3.8%
n 4
 
3.8%
Other values (25) 44
41.9%
Common
ValueCountFrequency (%)
9
29.0%
2 9
29.0%
( 4
12.9%
) 4
12.9%
1 4
12.9%
- 1
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2295
94.4%
ASCII 136
 
5.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 167
 
7.3%
북 96
 
4.2%
이 70
 
3.1%
사 70
 
3.1%
어 46
 
2.0%
디 40
 
1.7%
미 38
 
1.7%
리 38
 
1.7%
지 37
 
1.6%
한 36
 
1.6%
Other values (303) 1657
72.2%
ASCII
ValueCountFrequency (%)
o 10
 
7.4%
9
 
6.6%
2 9
 
6.6%
s 8
 
5.9%
e 7
 
5.1%
B 7
 
5.1%
S 6
 
4.4%
t 5
 
3.7%
i 5
 
3.7%
b 5
 
3.7%
Other values (31) 65
47.8%

출판년도
Real number (ℝ)

Distinct19
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2018.3315
Minimum1900
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-12-13T07:13:11.667723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1900
5-th percentile2009
Q12018
median2021
Q32022
95-th percentile2022
Maximum2022
Range122
Interquartile range (IQR)4

Descriptive statistics

Standard deviation8.7654802
Coefficient of variation (CV)0.0043429339
Kurtosis123.44232
Mean2018.3315
Median Absolute Deviation (MAD)1
Skewness-9.5188631
Sum1077789
Variance76.833643
MonotonicityNot monotonic
2023-12-13T07:13:11.755187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
2022 196
36.7%
2021 139
26.0%
2009 69
 
12.9%
2020 42
 
7.9%
2018 20
 
3.7%
2019 18
 
3.4%
2017 13
 
2.4%
2016 8
 
1.5%
2001 7
 
1.3%
2013 6
 
1.1%
Other values (9) 16
 
3.0%
ValueCountFrequency (%)
1900 2
 
0.4%
2001 7
 
1.3%
2002 1
 
0.2%
2006 1
 
0.2%
2008 1
 
0.2%
2009 69
12.9%
2010 1
 
0.2%
2011 1
 
0.2%
2012 2
 
0.4%
2013 6
 
1.1%
ValueCountFrequency (%)
2022 196
36.7%
2021 139
26.0%
2020 42
 
7.9%
2019 18
 
3.4%
2018 20
 
3.7%
2017 13
 
2.4%
2016 8
 
1.5%
2015 2
 
0.4%
2014 5
 
0.9%
2013 6
 
1.1%

Interactions

2023-12-13T07:13:08.541877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:13:08.337160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:13:08.644086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:13:08.434136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:13:11.819447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번출판년도
연번1.0000.093
출판년도0.0931.000
2023-12-13T07:13:11.881970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번출판년도
연번1.0000.048
출판년도0.0481.000

Missing values

2023-12-13T07:13:08.785139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:13:08.874930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

연번서명저자출판사출판년도
01(10년 후 100배 오를) 암호화폐에 투자하라 : 지금까지 없었던 암호화폐 실전투자의 정석박종한나비의활주로2022
12(17년 차 현직 교사가 알려주는) 두근두근 초등 1학년 입학 준비하유정빅피시2022
23(2022) 부동산세 완전정복 : 슬기로운 부동산 세테크의 모든 것택스워치어바웃어북2021
34(2050) 에너지 제국의 미래양수영비즈니스북스2022
45(3개의 질문으로) 주식시장을 이기다Fisher, Kenneth L비즈니스맵2022
56(4차 산업혁명 시대의 기업 혁신을 위한) 비즈니스 프로세스정승렬한빛아카데미2018
67(7대 이슈로 보는) 돈의 역사. 2 : 화폐, 전염병, 기후변화, 경쟁, 신뢰, 금융위기, 갈등홍춘욱로크미디어2020
78(ESG 경영을 위한) 비즈니스 리스크 관리Hopkin, Paul율곡출판사2022
89(Kaggle 우승작으로 배우는) 머신러닝 탐구생활 : 파이썬을 활용한 머신러닝 실전 예제 분석정권우비제이퍼블릭2009
910(Kotler의) 마케팅 원리Kotler, Philip시그마프레스2021
연번서명저자출판사출판년도
524525혁신의 후원자 벤처캐피털 : 스타트업의 파트너, 모험 자본주의의 주역권오상클라우드나인2020
525526호수를 베고 잠들다선우미애산책2009
526527혼자서 종이우산을 쓰고 가다에쿠니, 가오리소담출판사2022
527528홍학의 자리 : 정해연 장편소설정해연엘릭시르2021
528529확률적 사고의 힘 : 주식 투자부터 기업 경영까지 불확실성에 대처하는 승자의 철학田淵直也에프엔미디어2022
529530환율도 모르고 경제공부 할 뻔했다이낙원원앤원북스2019
530531회복탄력 사회 : 위기에 강한 사회는 어떻게 만들어지는가Brunnermeier, Markus Konrad어크로스2022
531532흑백미야베, 미유키북스피어2012
532533히든 해빗 : 재능, IQ, 그릿, 운, 환경에 숨어 있는 천재의 비밀Wright, Craig M청림출판2021
533534힘든 시대를 위한 좋은 경제학Banerjee Abhijit V.생각의힘2009