Overview

Dataset statistics

Number of variables5
Number of observations5342
Missing cells130
Missing cells (%)0.5%
Duplicate rows39
Duplicate rows (%)0.7%
Total size in memory214.0 KiB
Average record size in memory41.0 B

Variable types

Numeric1
Categorical1
Text3

Dataset

Description항공정보포털에 등록된 연구논문 및 단행본 등을 포함한 전자도서관 목록 현황 정보를 제공합니다 (발행년도, 도서분류, 제목, 저자, 발행처 등)
URLhttps://www.data.go.kr/data/15061949/fileData.do

Alerts

Dataset has 39 (0.7%) duplicate rowsDuplicates
저자 has 128 (2.4%) missing valuesMissing

Reproduction

Analysis started2023-12-12 20:49:04.537076
Analysis finished2023-12-12 20:49:05.712227
Duration1.18 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

발행년도
Real number (ℝ)

Distinct57
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2001.1703
Minimum1915
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size47.1 KiB
2023-12-13T05:49:06.007832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1915
5-th percentile1986
Q11996
median2002
Q32006
95-th percentile2014
Maximum2022
Range107
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.582485
Coefficient of variation (CV)0.0042887329
Kurtosis6.3603077
Mean2001.1703
Median Absolute Deviation (MAD)5
Skewness-1.0088893
Sum10690252
Variance73.659049
MonotonicityDecreasing
2023-12-13T05:49:06.125557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2003 385
 
7.2%
2001 346
 
6.5%
2005 308
 
5.8%
2004 303
 
5.7%
2002 289
 
5.4%
2000 244
 
4.6%
1999 230
 
4.3%
2008 221
 
4.1%
1997 216
 
4.0%
1998 208
 
3.9%
Other values (47) 2592
48.5%
ValueCountFrequency (%)
1915 2
 
< 0.1%
1919 1
 
< 0.1%
1931 1
 
< 0.1%
1953 1
 
< 0.1%
1966 1
 
< 0.1%
1971 2
 
< 0.1%
1972 1
 
< 0.1%
1973 8
0.1%
1974 2
 
< 0.1%
1975 5
0.1%
ValueCountFrequency (%)
2022 13
 
0.2%
2021 4
 
0.1%
2020 9
 
0.2%
2019 19
 
0.4%
2018 35
 
0.7%
2017 23
 
0.4%
2016 52
 
1.0%
2015 105
2.0%
2014 139
2.6%
2013 120
2.2%

도서분류
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size41.9 KiB
학술지/연속간행물
2649 
학위논문
2023 
단행본
670 

Length

Max length9
Median length4
Mean length6.3539873
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row학술지/연속간행물
2nd row단행본
3rd row단행본
4th row학술지/연속간행물
5th row단행본

Common Values

ValueCountFrequency (%)
학술지/연속간행물 2649
49.6%
학위논문 2023
37.9%
단행본 670
 
12.5%

Length

2023-12-13T05:49:06.261891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:49:06.345124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
학술지/연속간행물 2649
49.6%
학위논문 2023
37.9%
단행본 670
 
12.5%

제목
Text

Distinct5254
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size41.9 KiB
2023-12-13T05:49:06.591313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length201
Median length127
Mean length28.53201
Min length2

Characters and Unicode

Total characters152418
Distinct characters916
Distinct categories15 ?
Distinct scripts5 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5171 ?
Unique (%)96.8%

Sample

1st rowFly to net zero
2nd row미국의 도심항공교통(UAM) 준비 현황, LA 사례를 중심으로
3rd rowUAM 현황과 신산업으로서의 발전 방향
4th rowTS vol.65 3+4월호 자유롭게 하늘을 나는 꿈이 실현되는 날이 다가옵니다
5th row(포켓)항공현황 2022
ValueCountFrequency (%)
연구 1831
 
5.4%
관한 1514
 
4.5%
782
 
2.3%
중심으로 607
 
1.8%
560
 
1.7%
항공기 443
 
1.3%
위한 393
 
1.2%
미치는 379
 
1.1%
대한 368
 
1.1%
항공사 367
 
1.1%
Other values (11819) 26426
78.5%
2023-12-13T05:49:07.000086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28760
 
18.9%
5320
 
3.5%
5191
 
3.4%
3557
 
2.3%
3124
 
2.0%
2800
 
1.8%
2432
 
1.6%
2285
 
1.5%
2138
 
1.4%
1832
 
1.2%
Other values (906) 94979
62.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 105730
69.4%
Space Separator 28760
 
18.9%
Lowercase Letter 8680
 
5.7%
Uppercase Letter 4179
 
2.7%
Decimal Number 2080
 
1.4%
Other Punctuation 1800
 
1.2%
Open Punctuation 381
 
0.2%
Close Punctuation 379
 
0.2%
Dash Punctuation 262
 
0.2%
Letter Number 101
 
0.1%
Other values (5) 66
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5320
 
5.0%
5191
 
4.9%
3557
 
3.4%
3124
 
3.0%
2800
 
2.6%
2432
 
2.3%
2285
 
2.2%
2138
 
2.0%
1832
 
1.7%
1715
 
1.6%
Other values (804) 75336
71.3%
Lowercase Letter
ValueCountFrequency (%)
e 930
10.7%
n 838
9.7%
i 822
9.5%
o 787
 
9.1%
t 767
 
8.8%
a 747
 
8.6%
r 648
 
7.5%
s 490
 
5.6%
l 355
 
4.1%
c 289
 
3.3%
Other values (17) 2007
23.1%
Uppercase Letter
ValueCountFrequency (%)
A 563
13.5%
S 451
 
10.8%
C 316
 
7.6%
I 282
 
6.7%
T 281
 
6.7%
M 226
 
5.4%
R 218
 
5.2%
P 205
 
4.9%
E 183
 
4.4%
F 171
 
4.1%
Other values (16) 1283
30.7%
Other Punctuation
ValueCountFrequency (%)
: 800
44.4%
, 571
31.7%
; 113
 
6.3%
. 90
 
5.0%
& 72
 
4.0%
' 52
 
2.9%
/ 39
 
2.2%
· 38
 
2.1%
# 9
 
0.5%
" 6
 
0.3%
Other values (4) 10
 
0.6%
Decimal Number
ValueCountFrequency (%)
0 509
24.5%
2 429
20.6%
1 348
16.7%
9 189
 
9.1%
3 133
 
6.4%
5 105
 
5.0%
4 103
 
5.0%
8 97
 
4.7%
6 96
 
4.6%
7 71
 
3.4%
Letter Number
ValueCountFrequency (%)
43
42.6%
32
31.7%
18
17.8%
3
 
3.0%
2
 
2.0%
2
 
2.0%
1
 
1.0%
Open Punctuation
ValueCountFrequency (%)
( 335
87.9%
[ 21
 
5.5%
18
 
4.7%
7
 
1.8%
Close Punctuation
ValueCountFrequency (%)
) 333
87.9%
] 21
 
5.5%
18
 
4.7%
7
 
1.8%
Math Symbol
ValueCountFrequency (%)
= 40
78.4%
~ 7
 
13.7%
2
 
3.9%
+ 2
 
3.9%
Space Separator
ValueCountFrequency (%)
28760
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 262
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 11
100.0%
Final Punctuation
ValueCountFrequency (%)
2
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 105504
69.2%
Common 33728
 
22.1%
Latin 12959
 
8.5%
Han 226
 
0.1%
Greek 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5320
 
5.0%
5191
 
4.9%
3557
 
3.4%
3124
 
3.0%
2800
 
2.7%
2432
 
2.3%
2285
 
2.2%
2138
 
2.0%
1832
 
1.7%
1715
 
1.6%
Other values (667) 75110
71.2%
Han
ValueCountFrequency (%)
13
 
5.8%
12
 
5.3%
7
 
3.1%
7
 
3.1%
6
 
2.7%
4
 
1.8%
4
 
1.8%
4
 
1.8%
4
 
1.8%
3
 
1.3%
Other values (127) 162
71.7%
Latin
ValueCountFrequency (%)
e 930
 
7.2%
n 838
 
6.5%
i 822
 
6.3%
o 787
 
6.1%
t 767
 
5.9%
a 747
 
5.8%
r 648
 
5.0%
A 563
 
4.3%
s 490
 
3.8%
S 451
 
3.5%
Other values (49) 5916
45.7%
Common
ValueCountFrequency (%)
28760
85.3%
: 800
 
2.4%
, 571
 
1.7%
0 509
 
1.5%
2 429
 
1.3%
1 348
 
1.0%
( 335
 
1.0%
) 333
 
1.0%
- 262
 
0.8%
9 189
 
0.6%
Other values (32) 1192
 
3.5%
Greek
ValueCountFrequency (%)
α 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 105501
69.2%
ASCII 46488
30.5%
CJK 224
 
0.1%
Number Forms 101
 
0.1%
None 89
 
0.1%
Punctuation 8
 
< 0.1%
Compat Jamo 3
 
< 0.1%
Math Operators 2
 
< 0.1%
CJK Compat Ideographs 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
28760
61.9%
e 930
 
2.0%
n 838
 
1.8%
i 822
 
1.8%
: 800
 
1.7%
o 787
 
1.7%
t 767
 
1.6%
a 747
 
1.6%
r 648
 
1.4%
, 571
 
1.2%
Other values (75) 10818
 
23.3%
Hangul
ValueCountFrequency (%)
5320
 
5.0%
5191
 
4.9%
3557
 
3.4%
3124
 
3.0%
2800
 
2.7%
2432
 
2.3%
2285
 
2.2%
2138
 
2.0%
1832
 
1.7%
1715
 
1.6%
Other values (666) 75107
71.2%
Number Forms
ValueCountFrequency (%)
43
42.6%
32
31.7%
18
17.8%
3
 
3.0%
2
 
2.0%
2
 
2.0%
1
 
1.0%
None
ValueCountFrequency (%)
· 38
42.7%
18
20.2%
18
20.2%
7
 
7.9%
7
 
7.9%
α 1
 
1.1%
CJK
ValueCountFrequency (%)
13
 
5.8%
12
 
5.4%
7
 
3.1%
7
 
3.1%
6
 
2.7%
4
 
1.8%
4
 
1.8%
4
 
1.8%
4
 
1.8%
3
 
1.3%
Other values (125) 160
71.4%
Punctuation
ValueCountFrequency (%)
5
62.5%
2
 
25.0%
1
 
12.5%
Compat Jamo
ValueCountFrequency (%)
3
100.0%
Math Operators
ValueCountFrequency (%)
2
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
1
50.0%
1
50.0%

저자
Text

MISSING 

Distinct3637
Distinct (%)69.8%
Missing128
Missing (%)2.4%
Memory size41.9 KiB
2023-12-13T05:49:07.274670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length3
Mean length4.8523207
Min length2

Characters and Unicode

Total characters25300
Distinct characters454
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3014 ?
Unique (%)57.8%

Sample

1st row김종현
2nd row김령희
3rd row항공산업기술진흥원
4th row한국교통안전공단
5th row한국항공협회
ValueCountFrequency (%)
142
 
2.1%
한국항공진흥협회 113
 
1.7%
89
 
1.3%
75
 
1.1%
44
 
0.6%
42
 
0.6%
교통개발연구원 39
 
0.6%
과학기술처 39
 
0.6%
이강석 36
 
0.5%
홍석진 35
 
0.5%
Other values (3769) 6158
90.4%
2023-12-13T05:49:07.702231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1649
 
6.5%
1094
 
4.3%
893
 
3.5%
531
 
2.1%
; 522
 
2.1%
478
 
1.9%
435
 
1.7%
412
 
1.6%
407
 
1.6%
357
 
1.4%
Other values (444) 18522
73.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21080
83.3%
Space Separator 1649
 
6.5%
Lowercase Letter 977
 
3.9%
Other Punctuation 923
 
3.6%
Uppercase Letter 338
 
1.3%
Close Punctuation 150
 
0.6%
Open Punctuation 148
 
0.6%
Decimal Number 27
 
0.1%
Dash Punctuation 5
 
< 0.1%
Letter Number 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1094
 
5.2%
893
 
4.2%
531
 
2.5%
478
 
2.3%
435
 
2.1%
412
 
2.0%
407
 
1.9%
357
 
1.7%
355
 
1.7%
325
 
1.5%
Other values (366) 15793
74.9%
Lowercase Letter
ValueCountFrequency (%)
n 108
11.1%
a 102
10.4%
e 92
 
9.4%
i 92
 
9.4%
o 88
 
9.0%
r 79
 
8.1%
h 49
 
5.0%
s 44
 
4.5%
l 39
 
4.0%
u 39
 
4.0%
Other values (16) 245
25.1%
Uppercase Letter
ValueCountFrequency (%)
S 28
 
8.3%
H 28
 
8.3%
C 25
 
7.4%
A 25
 
7.4%
M 24
 
7.1%
T 22
 
6.5%
K 21
 
6.2%
D 18
 
5.3%
E 14
 
4.1%
N 14
 
4.1%
Other values (15) 119
35.2%
Other Punctuation
ValueCountFrequency (%)
; 522
56.6%
, 275
29.8%
. 76
 
8.2%
/ 30
 
3.3%
· 8
 
0.9%
# 4
 
0.4%
& 4
 
0.4%
" 2
 
0.2%
' 1
 
0.1%
: 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
2 12
44.4%
8 9
33.3%
0 2
 
7.4%
6 1
 
3.7%
1 1
 
3.7%
7 1
 
3.7%
3 1
 
3.7%
Open Punctuation
ValueCountFrequency (%)
[ 121
81.8%
24
 
16.2%
( 3
 
2.0%
Close Punctuation
ValueCountFrequency (%)
] 118
78.7%
27
 
18.0%
) 5
 
3.3%
Letter Number
ValueCountFrequency (%)
2
66.7%
1
33.3%
Space Separator
ValueCountFrequency (%)
1649
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21049
83.2%
Common 2902
 
11.5%
Latin 1318
 
5.2%
Han 31
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1094
 
5.2%
893
 
4.2%
531
 
2.5%
478
 
2.3%
435
 
2.1%
412
 
2.0%
407
 
1.9%
357
 
1.7%
355
 
1.7%
325
 
1.5%
Other values (354) 15762
74.9%
Latin
ValueCountFrequency (%)
n 108
 
8.2%
a 102
 
7.7%
e 92
 
7.0%
i 92
 
7.0%
o 88
 
6.7%
r 79
 
6.0%
h 49
 
3.7%
s 44
 
3.3%
l 39
 
3.0%
u 39
 
3.0%
Other values (43) 586
44.5%
Common
ValueCountFrequency (%)
1649
56.8%
; 522
 
18.0%
, 275
 
9.5%
[ 121
 
4.2%
] 118
 
4.1%
. 76
 
2.6%
/ 30
 
1.0%
27
 
0.9%
24
 
0.8%
2 12
 
0.4%
Other values (15) 48
 
1.7%
Han
ValueCountFrequency (%)
8
25.8%
6
19.4%
5
16.1%
4
12.9%
1
 
3.2%
1
 
3.2%
1
 
3.2%
1
 
3.2%
1
 
3.2%
1
 
3.2%
Other values (2) 2
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21049
83.2%
ASCII 4158
 
16.4%
None 59
 
0.2%
CJK 31
 
0.1%
Number Forms 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1649
39.7%
; 522
 
12.6%
, 275
 
6.6%
[ 121
 
2.9%
] 118
 
2.8%
n 108
 
2.6%
a 102
 
2.5%
e 92
 
2.2%
i 92
 
2.2%
o 88
 
2.1%
Other values (63) 991
23.8%
Hangul
ValueCountFrequency (%)
1094
 
5.2%
893
 
4.2%
531
 
2.5%
478
 
2.3%
435
 
2.1%
412
 
2.0%
407
 
1.9%
357
 
1.7%
355
 
1.7%
325
 
1.5%
Other values (354) 15762
74.9%
None
ValueCountFrequency (%)
27
45.8%
24
40.7%
· 8
 
13.6%
CJK
ValueCountFrequency (%)
8
25.8%
6
19.4%
5
16.1%
4
12.9%
1
 
3.2%
1
 
3.2%
1
 
3.2%
1
 
3.2%
1
 
3.2%
1
 
3.2%
Other values (2) 2
 
6.5%
Number Forms
ValueCountFrequency (%)
2
66.7%
1
33.3%
Distinct958
Distinct (%)17.9%
Missing2
Missing (%)< 0.1%
Memory size41.9 KiB
2023-12-13T05:49:07.942132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length9.0878277
Min length2

Characters and Unicode

Total characters48529
Distinct characters308
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique549 ?
Unique (%)10.3%

Sample

1st row하나금융경영연구소
2nd row국회도서관
3rd row항공산업기술진흥원
4th row한국교통안전공단
5th row한국항공협회
ValueCountFrequency (%)
한국항공진흥협회 956
 
12.1%
대학원 746
 
9.4%
한국항공대학교 316
 
4.0%
경영대학원 313
 
3.9%
세종대학교 279
 
3.5%
한국항공대 222
 
2.8%
부설 220
 
2.8%
항공산업연구소 214
 
2.7%
교통개발연구원 152
 
1.9%
인하대 148
 
1.9%
Other values (796) 4365
55.0%
2023-12-13T05:49:08.303378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4785
 
9.9%
3964
 
8.2%
3068
 
6.3%
2767
 
5.7%
2687
 
5.5%
2628
 
5.4%
2495
 
5.1%
2475
 
5.1%
1722
 
3.5%
1483
 
3.1%
Other values (298) 20455
42.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 45752
94.3%
Space Separator 2628
 
5.4%
Decimal Number 51
 
0.1%
Other Punctuation 38
 
0.1%
Uppercase Letter 34
 
0.1%
Open Punctuation 11
 
< 0.1%
Close Punctuation 11
 
< 0.1%
Dash Punctuation 3
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4785
 
10.5%
3964
 
8.7%
3068
 
6.7%
2767
 
6.0%
2687
 
5.9%
2495
 
5.5%
2475
 
5.4%
1722
 
3.8%
1483
 
3.2%
1055
 
2.3%
Other values (269) 19251
42.1%
Uppercase Letter
ValueCountFrequency (%)
I 8
23.5%
K 6
17.6%
D 6
17.6%
T 5
14.7%
R 3
 
8.8%
U 2
 
5.9%
N 1
 
2.9%
A 1
 
2.9%
O 1
 
2.9%
B 1
 
2.9%
Decimal Number
ValueCountFrequency (%)
2 22
43.1%
1 15
29.4%
0 9
17.6%
3 2
 
3.9%
7 1
 
2.0%
4 1
 
2.0%
8 1
 
2.0%
Other Punctuation
ValueCountFrequency (%)
· 18
47.4%
, 11
28.9%
: 6
 
15.8%
. 2
 
5.3%
; 1
 
2.6%
Open Punctuation
ValueCountFrequency (%)
( 10
90.9%
[ 1
 
9.1%
Close Punctuation
ValueCountFrequency (%)
) 10
90.9%
] 1
 
9.1%
Space Separator
ValueCountFrequency (%)
2628
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 45742
94.3%
Common 2742
 
5.7%
Latin 35
 
0.1%
Han 10
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4785
 
10.5%
3964
 
8.7%
3068
 
6.7%
2767
 
6.0%
2687
 
5.9%
2495
 
5.5%
2475
 
5.4%
1722
 
3.8%
1483
 
3.2%
1055
 
2.3%
Other values (264) 19241
42.1%
Common
ValueCountFrequency (%)
2628
95.8%
2 22
 
0.8%
· 18
 
0.7%
1 15
 
0.5%
, 11
 
0.4%
( 10
 
0.4%
) 10
 
0.4%
0 9
 
0.3%
: 6
 
0.2%
- 3
 
0.1%
Other values (8) 10
 
0.4%
Latin
ValueCountFrequency (%)
I 8
22.9%
K 6
17.1%
D 6
17.1%
T 5
14.3%
R 3
 
8.6%
U 2
 
5.7%
N 1
 
2.9%
A 1
 
2.9%
O 1
 
2.9%
B 1
 
2.9%
Han
ValueCountFrequency (%)
2
20.0%
2
20.0%
2
20.0%
2
20.0%
2
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 45742
94.3%
ASCII 2759
 
5.7%
None 18
 
< 0.1%
CJK 10
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
4785
 
10.5%
3964
 
8.7%
3068
 
6.7%
2767
 
6.0%
2687
 
5.9%
2495
 
5.5%
2475
 
5.4%
1722
 
3.8%
1483
 
3.2%
1055
 
2.3%
Other values (264) 19241
42.1%
ASCII
ValueCountFrequency (%)
2628
95.3%
2 22
 
0.8%
1 15
 
0.5%
, 11
 
0.4%
( 10
 
0.4%
) 10
 
0.4%
0 9
 
0.3%
I 8
 
0.3%
K 6
 
0.2%
D 6
 
0.2%
Other values (18) 34
 
1.2%
None
ValueCountFrequency (%)
· 18
100.0%
CJK
ValueCountFrequency (%)
2
20.0%
2
20.0%
2
20.0%
2
20.0%
2
20.0%

Interactions

2023-12-13T05:49:05.406942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:49:08.394648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
발행년도도서분류
발행년도1.0000.390
도서분류0.3901.000
2023-12-13T05:49:08.481778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
발행년도도서분류
발행년도1.0000.188
도서분류0.1881.000

Missing values

2023-12-13T05:49:05.508753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:49:05.590296image/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.
2023-12-13T05:49:05.671039image/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

발행년도도서분류제목저자발행처
02022학술지/연속간행물Fly to net zero김종현하나금융경영연구소
12022단행본미국의 도심항공교통(UAM) 준비 현황, LA 사례를 중심으로김령희국회도서관
22022단행본UAM 현황과 신산업으로서의 발전 방향항공산업기술진흥원항공산업기술진흥원
32022학술지/연속간행물TS vol.65 3+4월호 자유롭게 하늘을 나는 꿈이 실현되는 날이 다가옵니다한국교통안전공단한국교통안전공단
42022단행본(포켓)항공현황 2022한국항공협회한국항공협회
52022학술지/연속간행물K-UAM Magazine Vol.06항공안전기술원항공안전기술원
62022단행본2021년 국내외 드론 산업 동향 분석보고서항공안전기술원항공안전기술원
72022학술지/연속간행물공항소음브리프 통권 20호한국교통연구원한국교통연구원
82022학술지/연속간행물항공·공항 정책 Trend & Insight Vol.4 No.1한국교통연구원한국교통연구원
92022단행본드론 종합안전관리( 자격, 전문교관, 신고, 사용사업체 등) 안내 리플렛한국교통안전공단한국교통안전공단
발행년도도서분류제목저자발행처
53321973학위논문항공화물의 유치를 위한 고찰이원웅부산대 경영대학원
53331972학위논문자주국방을 위한 공군전투력: 항공세력을 중심으로김기섭국방대학원
53341971학술지/연속간행물항공 SPORTS 진흥을 위한 국산의 MOTOR GLIDER개발과 자연동력원으로서의 상승기류의 조사연구김석환한국항공대학교
53351971학술지/연속간행물헬리콥타에 의한 송충이의 항공방제이상옥산림조합중앙회
53361966학술지/연속간행물항공강호윤비지네스사
53371953학술지/연속간행물타락된 비행기최정희문예사
53381931학술지/연속간행물실업상황으로 본 일구삼0년곽세현연전학생회
53391919학술지/연속간행물항공계의 발전항공생서울사
53401915학술지/연속간행물비행기의 창작자는 조선인이라신문관 편신문관
53411915학술지/연속간행물태서열국의 비행기 발달사마이에르신문관

Duplicate rows

Most frequently occurring

발행년도도서분류제목저자발행처# duplicates
01998단행본항공뉴스라인 22호<NA>한국항공진흥협회2
11998학술지/연속간행물항공운항규제의 합리화 방향이정학한국항공진흥협회2
22000학술지/연속간행물인천국제공항 계기비행절차장인갑한국항공진흥협회2
32001학술지/연속간행물항공교통관제 부문의 민영화 추세와 과제김제철교통개발연구원2
42001학술지/연속간행물항공교통관제서비스 경쟁력 확보를 위한 당면과제김제철한국항공진흥협회2
52001학술지/연속간행물항공기 승객의 특징과 항공사의 역할권재영교통안전공단2
62001학술지/연속간행물항공분야 국내 ILS의 발전방향이영주국방품질관리소2
72001학술지/연속간행물항공안전을 위한 관련 부서간 상호 업무 이해의 중요성홍성민교통개발연구원2
82001학술지/연속간행물항공여객 수요예측에 관한 연구김미숙한국항공진흥협회2
92001학술지/연속간행물항공운송 전망과 국제공항의 발전전략황진회한국해양수산개발원2