Overview

Dataset statistics

Number of variables5
Number of observations231
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.6 KiB
Average record size in memory42.6 B

Variable types

Numeric2
Text3

Dataset

Description한국국제협력단 ODA도서관에서 보유한 도서정보 중 추전도서(서명, 저자, 발행처 등)에 대한 데이터를 제공합니다.
URLhttps://www.data.go.kr/data/15120497/fileData.do

Alerts

번호 is highly overall correlated with 발행년도High correlation
발행년도 is highly overall correlated with 번호High correlation
번호 has unique valuesUnique
서명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 11:49:28.412462
Analysis finished2023-12-12 11:49:29.679712
Duration1.27 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct231
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean116
Minimum1
Maximum231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-12T20:49:29.761394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile12.5
Q158.5
median116
Q3173.5
95-th percentile219.5
Maximum231
Range230
Interquartile range (IQR)115

Descriptive statistics

Standard deviation66.828138
Coefficient of variation (CV)0.57610464
Kurtosis-1.2
Mean116
Median Absolute Deviation (MAD)58
Skewness0
Sum26796
Variance4466
MonotonicityStrictly increasing
2023-12-12T20:49:29.923827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
160 1
 
0.4%
148 1
 
0.4%
149 1
 
0.4%
150 1
 
0.4%
151 1
 
0.4%
152 1
 
0.4%
153 1
 
0.4%
154 1
 
0.4%
155 1
 
0.4%
Other values (221) 221
95.7%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
231 1
0.4%
230 1
0.4%
229 1
0.4%
228 1
0.4%
227 1
0.4%
226 1
0.4%
225 1
0.4%
224 1
0.4%
223 1
0.4%
222 1
0.4%

서명
Text

UNIQUE 

Distinct231
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T20:49:30.426508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length162
Median length69
Mean length40.463203
Min length5

Characters and Unicode

Total characters9347
Distinct characters526
Distinct categories11 ?
Distinct scripts5 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique231 ?
Unique (%)100.0%

Sample

1st row얼굴 없는 중개자들 : 석유부터 밀까지, 자원 시장을 움직이는 탐욕의 세력들
2nd row워터 : 물이 평등하다는 착각
3rd row왜 아프리카 원조는 작동하지 않는가 : 아프리카 개발협력의 혁신적 전략 10가지
4th row국제개발협력 : 심화편
5th row국제개발협력 평가의 이해 = Introduction to international development cooperation evaluation
ValueCountFrequency (%)
75
 
4.1%
the 33
 
1.8%
development 31
 
1.7%
and 30
 
1.6%
위한 15
 
0.8%
of 15
 
0.8%
이야기 15
 
0.8%
국제개발협력 15
 
0.8%
왜 12
 
0.7%
aid 12
 
0.7%
Other values (1118) 1570
86.1%
2023-12-12T20:49:31.173162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1766
 
18.9%
e 371
 
4.0%
o 318
 
3.4%
n 282
 
3.0%
t 279
 
3.0%
i 256
 
2.7%
a 233
 
2.5%
r 181
 
1.9%
: 162
 
1.7%
l 161
 
1.7%
Other values (516) 5338
57.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3708
39.7%
Lowercase Letter 3101
33.2%
Space Separator 1766
18.9%
Uppercase Letter 286
 
3.1%
Other Punctuation 270
 
2.9%
Decimal Number 127
 
1.4%
Math Symbol 31
 
0.3%
Open Punctuation 28
 
0.3%
Close Punctuation 28
 
0.3%
Final Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 136
 
3.7%
이 87
 
2.3%
는 86
 
2.3%
가 84
 
2.3%
제 81
 
2.2%
개 78
 
2.1%
발 77
 
2.1%
국 73
 
2.0%
지 72
 
1.9%
한 60
 
1.6%
Other values (441) 2874
77.5%
Lowercase Letter
ValueCountFrequency (%)
e 371
12.0%
o 318
10.3%
n 282
 
9.1%
t 279
 
9.0%
i 256
 
8.3%
a 233
 
7.5%
r 181
 
5.8%
l 161
 
5.2%
s 150
 
4.8%
d 125
 
4.0%
Other values (16) 745
24.0%
Uppercase Letter
ValueCountFrequency (%)
C 34
11.9%
A 32
11.2%
D 31
10.8%
I 26
9.1%
O 26
9.1%
T 22
 
7.7%
K 19
 
6.6%
G 16
 
5.6%
E 14
 
4.9%
W 10
 
3.5%
Other values (12) 56
19.6%
Other Punctuation
ValueCountFrequency (%)
: 162
60.0%
, 65
24.1%
? 20
 
7.4%
' 8
 
3.0%
! 7
 
2.6%
/ 2
 
0.7%
% 2
 
0.7%
. 2
 
0.7%
& 1
 
0.4%
· 1
 
0.4%
Decimal Number
ValueCountFrequency (%)
0 37
29.1%
1 29
22.8%
2 28
22.0%
5 8
 
6.3%
3 7
 
5.5%
9 7
 
5.5%
8 4
 
3.1%
7 3
 
2.4%
4 2
 
1.6%
6 2
 
1.6%
Math Symbol
ValueCountFrequency (%)
= 30
96.8%
~ 1
 
3.2%
Space Separator
ValueCountFrequency (%)
1766
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3689
39.5%
Latin 3387
36.2%
Common 2252
24.1%
Han 12
 
0.1%
Hiragana 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 136
 
3.7%
이 87
 
2.4%
는 86
 
2.3%
가 84
 
2.3%
제 81
 
2.2%
개 78
 
2.1%
발 77
 
2.1%
국 73
 
2.0%
지 72
 
2.0%
한 60
 
1.6%
Other values (426) 2855
77.4%
Latin
ValueCountFrequency (%)
e 371
 
11.0%
o 318
 
9.4%
n 282
 
8.3%
t 279
 
8.2%
i 256
 
7.6%
a 233
 
6.9%
r 181
 
5.3%
l 161
 
4.8%
s 150
 
4.4%
d 125
 
3.7%
Other values (38) 1031
30.4%
Common
ValueCountFrequency (%)
1766
78.4%
: 162
 
7.2%
, 65
 
2.9%
0 37
 
1.6%
= 30
 
1.3%
1 29
 
1.3%
2 28
 
1.2%
( 28
 
1.2%
) 28
 
1.2%
? 20
 
0.9%
Other values (17) 59
 
2.6%
Han
ValueCountFrequency (%)
開 3
25.0%
發 2
16.7%
展 1
 
8.3%
育 1
 
8.3%
持 1
 
8.3%
可 1
 
8.3%
能 1
 
8.3%
目 1
 
8.3%
標 1
 
8.3%
Hiragana
ValueCountFrequency (%)
の 2
28.6%
と 1
14.3%
な 1
14.3%
た 1
14.3%
め 1
14.3%
び 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5637
60.3%
Hangul 3689
39.5%
CJK 12
 
0.1%
Hiragana 7
 
0.1%
Punctuation 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1766
31.3%
e 371
 
6.6%
o 318
 
5.6%
n 282
 
5.0%
t 279
 
4.9%
i 256
 
4.5%
a 233
 
4.1%
r 181
 
3.2%
: 162
 
2.9%
l 161
 
2.9%
Other values (63) 1628
28.9%
Hangul
ValueCountFrequency (%)
의 136
 
3.7%
이 87
 
2.4%
는 86
 
2.3%
가 84
 
2.3%
제 81
 
2.2%
개 78
 
2.1%
발 77
 
2.1%
국 73
 
2.0%
지 72
 
2.0%
한 60
 
1.6%
Other values (426) 2855
77.4%
CJK
ValueCountFrequency (%)
開 3
25.0%
發 2
16.7%
展 1
 
8.3%
育 1
 
8.3%
持 1
 
8.3%
可 1
 
8.3%
能 1
 
8.3%
目 1
 
8.3%
標 1
 
8.3%
Hiragana
ValueCountFrequency (%)
の 2
28.6%
と 1
14.3%
な 1
14.3%
た 1
14.3%
め 1
14.3%
び 1
14.3%
Punctuation
ValueCountFrequency (%)
’ 1
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

저자
Text

Distinct208
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T20:49:31.626168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length20
Mean length8.7099567
Min length2

Characters and Unicode

Total characters2012
Distinct characters316
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

Unique193 ?
Unique (%)83.5%

Sample

1st row블라스, 하비에르
2nd row데이먼, 맷
3rd row칼데리시, 로버트
4th rowKOICA . ODA교육원
5th row박수영
ValueCountFrequency (%)
한국국제협력단 16
 
3.7%
oda교육원 11
 
2.6%
11
 
2.6%
지글러 4
 
0.9%
장 4
 
0.9%
윌리엄 3
 
0.7%
paul 3
 
0.7%
로버트 3
 
0.7%
koica 3
 
0.7%
민관협력실 3
 
0.7%
Other values (343) 369
85.8%
2023-12-12T20:49:32.287814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
199
 
9.9%
, 120
 
6.0%
e 64
 
3.2%
a 58
 
2.9%
r 51
 
2.5%
n 48
 
2.4%
o 41
 
2.0%
l 36
 
1.8%
국 35
 
1.7%
i 33
 
1.6%
Other values (306) 1327
66.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 972
48.3%
Lowercase Letter 495
24.6%
Space Separator 199
 
9.9%
Uppercase Letter 191
 
9.5%
Other Punctuation 151
 
7.5%
Decimal Number 2
 
0.1%
Final Punctuation 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 35
 
3.6%
이 29
 
3.0%
스 29
 
3.0%
리 27
 
2.8%
제 25
 
2.6%
협 21
 
2.2%
력 21
 
2.2%
한 19
 
2.0%
단 17
 
1.7%
드 16
 
1.6%
Other values (249) 733
75.4%
Lowercase Letter
ValueCountFrequency (%)
e 64
12.9%
a 58
11.7%
r 51
10.3%
n 48
9.7%
o 41
 
8.3%
l 36
 
7.3%
i 33
 
6.7%
t 24
 
4.8%
u 16
 
3.2%
h 16
 
3.2%
Other values (14) 108
21.8%
Uppercase Letter
ValueCountFrequency (%)
A 24
12.6%
D 24
12.6%
O 21
 
11.0%
C 14
 
7.3%
K 13
 
6.8%
J 10
 
5.2%
R 9
 
4.7%
W 8
 
4.2%
B 7
 
3.7%
L 6
 
3.1%
Other values (14) 55
28.8%
Other Punctuation
ValueCountFrequency (%)
, 120
79.5%
. 22
 
14.6%
; 6
 
4.0%
? 3
 
2.0%
Decimal Number
ValueCountFrequency (%)
0 1
50.0%
3 1
50.0%
Space Separator
ValueCountFrequency (%)
199
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 968
48.1%
Latin 686
34.1%
Common 354
 
17.6%
Han 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 35
 
3.6%
이 29
 
3.0%
스 29
 
3.0%
리 27
 
2.8%
제 25
 
2.6%
협 21
 
2.2%
력 21
 
2.2%
한 19
 
2.0%
단 17
 
1.8%
드 16
 
1.7%
Other values (245) 729
75.3%
Latin
ValueCountFrequency (%)
e 64
 
9.3%
a 58
 
8.5%
r 51
 
7.4%
n 48
 
7.0%
o 41
 
6.0%
l 36
 
5.2%
i 33
 
4.8%
t 24
 
3.5%
A 24
 
3.5%
D 24
 
3.5%
Other values (38) 283
41.3%
Common
ValueCountFrequency (%)
199
56.2%
, 120
33.9%
. 22
 
6.2%
; 6
 
1.7%
? 3
 
0.8%
’ 1
 
0.3%
0 1
 
0.3%
3 1
 
0.3%
- 1
 
0.3%
Han
ValueCountFrequency (%)
治 1
25.0%
田 1
25.0%
中 1
25.0%
彦 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1039
51.6%
Hangul 968
48.1%
CJK 4
 
0.2%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
199
19.2%
, 120
 
11.5%
e 64
 
6.2%
a 58
 
5.6%
r 51
 
4.9%
n 48
 
4.6%
o 41
 
3.9%
l 36
 
3.5%
i 33
 
3.2%
t 24
 
2.3%
Other values (46) 365
35.1%
Hangul
ValueCountFrequency (%)
국 35
 
3.6%
이 29
 
3.0%
스 29
 
3.0%
리 27
 
2.8%
제 25
 
2.6%
협 21
 
2.2%
력 21
 
2.2%
한 19
 
2.0%
단 17
 
1.8%
드 16
 
1.7%
Other values (245) 729
75.3%
Punctuation
ValueCountFrequency (%)
’ 1
100.0%
CJK
ValueCountFrequency (%)
治 1
25.0%
田 1
25.0%
中 1
25.0%
彦 1
25.0%

발행처
Text

Distinct148
Distinct (%)64.1%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T20:49:32.725175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length27
Mean length8.2424242
Min length1

Characters and Unicode

Total characters1904
Distinct characters254
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique116 ?
Unique (%)50.2%

Sample

1st row알키
2nd row애플북스 : 비전비엔피
3rd row초록비책공방
4th row시공미디어
5th row지식과감성
ValueCountFrequency (%)
한국국제협력단 32
 
9.3%
press 17
 
5.0%
14
 
4.1%
university 9
 
2.6%
oxford 5
 
1.5%
갈라파고스 5
 
1.5%
한울아카데미 5
 
1.5%
palgrave 5
 
1.5%
한울엠플러스 4
 
1.2%
books 4
 
1.2%
Other values (176) 243
70.8%
2023-12-12T20:49:33.462188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
112
 
5.9%
국 74
 
3.9%
e 71
 
3.7%
s 69
 
3.6%
한 64
 
3.4%
r 63
 
3.3%
i 61
 
3.2%
l 44
 
2.3%
o 44
 
2.3%
n 44
 
2.3%
Other values (244) 1258
66.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 967
50.8%
Lowercase Letter 658
34.6%
Uppercase Letter 123
 
6.5%
Space Separator 112
 
5.9%
Other Punctuation 20
 
1.1%
Decimal Number 12
 
0.6%
Close Punctuation 6
 
0.3%
Open Punctuation 6
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 74
 
7.7%
한 64
 
6.6%
사 34
 
3.5%
제 34
 
3.5%
스 33
 
3.4%
단 32
 
3.3%
력 32
 
3.3%
협 32
 
3.3%
북 17
 
1.8%
이 16
 
1.7%
Other values (187) 599
61.9%
Lowercase Letter
ValueCountFrequency (%)
e 71
10.8%
s 69
10.5%
r 63
9.6%
i 61
 
9.3%
l 44
 
6.7%
o 44
 
6.7%
n 44
 
6.7%
a 43
 
6.5%
t 37
 
5.6%
u 29
 
4.4%
Other values (13) 153
23.3%
Uppercase Letter
ValueCountFrequency (%)
P 36
29.3%
B 10
 
8.1%
U 10
 
8.1%
O 8
 
6.5%
C 7
 
5.7%
D 5
 
4.1%
M 5
 
4.1%
S 5
 
4.1%
R 5
 
4.1%
A 5
 
4.1%
Other values (11) 27
22.0%
Other Punctuation
ValueCountFrequency (%)
: 13
65.0%
. 2
 
10.0%
; 2
 
10.0%
, 1
 
5.0%
? 1
 
5.0%
& 1
 
5.0%
Decimal Number
ValueCountFrequency (%)
1 6
50.0%
2 6
50.0%
Close Punctuation
ValueCountFrequency (%)
) 5
83.3%
] 1
 
16.7%
Open Punctuation
ValueCountFrequency (%)
( 5
83.3%
[ 1
 
16.7%
Space Separator
ValueCountFrequency (%)
112
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 965
50.7%
Latin 781
41.0%
Common 156
 
8.2%
Han 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 74
 
7.7%
한 64
 
6.6%
사 34
 
3.5%
제 34
 
3.5%
스 33
 
3.4%
단 32
 
3.3%
력 32
 
3.3%
협 32
 
3.3%
북 17
 
1.8%
이 16
 
1.7%
Other values (185) 597
61.9%
Latin
ValueCountFrequency (%)
e 71
 
9.1%
s 69
 
8.8%
r 63
 
8.1%
i 61
 
7.8%
l 44
 
5.6%
o 44
 
5.6%
n 44
 
5.6%
a 43
 
5.5%
t 37
 
4.7%
P 36
 
4.6%
Other values (34) 269
34.4%
Common
ValueCountFrequency (%)
112
71.8%
: 13
 
8.3%
1 6
 
3.8%
2 6
 
3.8%
) 5
 
3.2%
( 5
 
3.2%
. 2
 
1.3%
; 2
 
1.3%
, 1
 
0.6%
] 1
 
0.6%
Other values (3) 3
 
1.9%
Han
ValueCountFrequency (%)
社 1
50.0%
文 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 965
50.7%
ASCII 937
49.2%
CJK 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
112
 
12.0%
e 71
 
7.6%
s 69
 
7.4%
r 63
 
6.7%
i 61
 
6.5%
l 44
 
4.7%
o 44
 
4.7%
n 44
 
4.7%
a 43
 
4.6%
t 37
 
3.9%
Other values (47) 349
37.2%
Hangul
ValueCountFrequency (%)
국 74
 
7.7%
한 64
 
6.6%
사 34
 
3.5%
제 34
 
3.5%
스 33
 
3.4%
단 32
 
3.3%
력 32
 
3.3%
협 32
 
3.3%
북 17
 
1.8%
이 16
 
1.7%
Other values (185) 597
61.9%
CJK
ValueCountFrequency (%)
社 1
50.0%
文 1
50.0%

발행년도
Real number (ℝ)

HIGH CORRELATION 

Distinct22
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2013.2597
Minimum1999
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-12T20:49:33.649122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1999
5-th percentile2007
Q12010
median2012
Q32017
95-th percentile2022
Maximum2023
Range24
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.0658342
Coefficient of variation (CV)0.0025162348
Kurtosis-0.51060846
Mean2013.2597
Median Absolute Deviation (MAD)3
Skewness0.36754431
Sum465063
Variance25.662676
MonotonicityNot monotonic
2023-12-12T20:49:33.822935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
2012 33
14.3%
2011 25
10.8%
2010 24
10.4%
2009 22
9.5%
2022 20
8.7%
2013 19
 
8.2%
2008 11
 
4.8%
2016 11
 
4.8%
2007 9
 
3.9%
2018 9
 
3.9%
Other values (12) 48
20.8%
ValueCountFrequency (%)
1999 1
 
0.4%
2000 1
 
0.4%
2002 1
 
0.4%
2005 3
 
1.3%
2006 4
 
1.7%
2007 9
 
3.9%
2008 11
4.8%
2009 22
9.5%
2010 24
10.4%
2011 25
10.8%
ValueCountFrequency (%)
2023 6
 
2.6%
2022 20
8.7%
2021 8
 
3.5%
2020 6
 
2.6%
2019 8
 
3.5%
2018 9
3.9%
2017 6
 
2.6%
2016 11
4.8%
2015 2
 
0.9%
2014 2
 
0.9%

Interactions

2023-12-12T20:49:29.258320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:49:29.079639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:49:29.358443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:49:29.169603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:49:33.937465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호발행년도
번호1.0000.906
발행년도0.9061.000
2023-12-12T20:49:34.069955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호발행년도
번호1.000-0.915
발행년도-0.9151.000

Missing values

2023-12-12T20:49:29.499802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:49:29.636376image/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

번호서명저자발행처발행년도
01얼굴 없는 중개자들 : 석유부터 밀까지, 자원 시장을 움직이는 탐욕의 세력들블라스, 하비에르알키2023
12워터 : 물이 평등하다는 착각데이먼, 맷애플북스 : 비전비엔피2022
23왜 아프리카 원조는 작동하지 않는가 : 아프리카 개발협력의 혁신적 전략 10가지칼데리시, 로버트초록비책공방2023
34국제개발협력 : 심화편KOICA . ODA교육원시공미디어2023
45국제개발협력 평가의 이해 = Introduction to international development cooperation evaluation박수영지식과감성2023
56개발지리학과 국제개발협력포터, 로버트김영사2023
67있는 그대로 나이지리아류지선초록비책공방2023
78풍요의 시대, 무엇이 가난인가? : 숫자가 말해 주지 않는 가난의 정의리스터, 루스갈라파고스2022
89그림으로 이해하는 IT 지식과 트렌드 : 디지털 시대에 알맞은 필수 IT 교양서사이토 마사노리길벗2021
910지리의 힘 2 : 지리는 어떻게 개인의 운명을, 세계사를, 세계 경제를 좌우하는가마샬, 팀사이2022
번호서명저자발행처발행년도
221222국제 개발이론 현황김수암 조한범 Lee, Lynn통일연구원2008
222223왜 세계의 절반은 굶주리는가?: 유엔 식량 특별 조사관이 아들에게 들려주는 기아의 진실지글러, 장갈라파고스2007
223224구호와 개발 그리고 원조: 국제논의수준과 북한을 위한 교훈박형중해남2007
224225절망 너머 희망으로크리스토프, 니콜라스에이지212010
225226물에 빠진 아이 구하기: 어떻게 세계의 절반을 가난으로부터 구할 것인가싱어, 피터웅진씽크빅2009
226227아름다운 동행: KOICA 지구촌 협력사업 현장르포한국국제협력단. 홍보실한국국제협력단2008
227228세계의 빈곤, 누구의 책임인가시브룩, 제레미이후2007
228229개발협력을 위한 한국의 이니셔티브권해룡삶과꿈2006
229230일본 ODA와 국제정치 = Japanese ODA and international politics박홍영한울2006
230231국제개발협력의 이해한국국제협력단. 정책연구실한울아카데미2009