Overview

Dataset statistics

Number of variables6
Number of observations67
Missing cells60
Missing cells (%)14.9%
Duplicate rows1
Duplicate rows (%)1.5%
Total size in memory3.3 KiB
Average record size in memory51.0 B

Variable types

Text3
Categorical1
Numeric1
DateTime1

Dataset

Description한국교통안전공단 통합홈페이지시스템에서 관리하고 있는 자격시험지식 관련 정보입니다
Author한국교통안전공단
URLhttps://www.data.go.kr/data/15066125/fileData.do

Alerts

Dataset has 1 (1.5%) duplicate rowsDuplicates
저장파일명 has 17 (25.4%) missing valuesMissing
파일크기 has 11 (16.4%) missing valuesMissing
파일설명 has 15 (22.4%) missing valuesMissing
최초등록일시 has 17 (25.4%) missing valuesMissing

Reproduction

Analysis started2023-12-12 19:04:44.125082
Analysis finished2023-12-12 19:04:45.008012
Duration0.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

원본파일명
Text

Distinct56
Distinct (%)83.6%
Missing0
Missing (%)0.0%
Memory size668.0 B
2023-12-13T04:04:45.196058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length41
Mean length26.537313
Min length1

Characters and Unicode

Total characters1778
Distinct characters214
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique53 ?
Unique (%)79.1%

Sample

1st row별첨2 항공영어구술능력평가증명 시험 QnA (20200301 기준)."hwp"
2nd row별첨1 항공종사자 자격증명 시험_QnA (20200301 기준)."hwp"
3rd row별첨3 초경량비행장치 조종자증명 시험 QnA (20200301 기준).hwp
4th row7.종합안내서 - 항공영어구술능력증명(2020.2.28 기준).hwp
5th row외국자격증명_취득자_전환_안내문(2020.1.1 기준).hwp
ValueCountFrequency (%)
flv 10
 
4.6%
기준).hwp 9
 
4.1%
8
 
3.7%
자격시험 8
 
3.7%
및 6
 
2.7%
예산성과금 4
 
1.8%
응시자격 4
 
1.8%
기각사례.hwp 4
 
1.8%
자격증명 4
 
1.8%
초경량비행장치 4
 
1.8%
Other values (136) 158
72.1%
2023-12-13T04:04:45.670302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
152
 
8.5%
. 99
 
5.6%
0 93
 
5.2%
2 88
 
4.9%
p 55
 
3.1%
자 45
 
2.5%
1 43
 
2.4%
w 36
 
2.0%
h 36
 
2.0%
( 34
 
1.9%
Other values (204) 1097
61.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 811
45.6%
Decimal Number 287
 
16.1%
Lowercase Letter 251
 
14.1%
Space Separator 152
 
8.5%
Other Punctuation 103
 
5.8%
Uppercase Letter 62
 
3.5%
Open Punctuation 35
 
2.0%
Close Punctuation 35
 
2.0%
Connector Punctuation 26
 
1.5%
Dash Punctuation 16
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
자 45
 
5.5%
기 34
 
4.2%
사 34
 
4.2%
종 26
 
3.2%
공 26
 
3.2%
항 23
 
2.8%
시 23
 
2.8%
격 20
 
2.5%
험 17
 
2.1%
년 15
 
1.8%
Other values (146) 548
67.6%
Lowercase Letter
ValueCountFrequency (%)
p 55
21.9%
w 36
14.3%
h 36
14.3%
f 17
 
6.8%
l 16
 
6.4%
x 10
 
4.0%
e 10
 
4.0%
v 10
 
4.0%
n 7
 
2.8%
i 7
 
2.8%
Other values (14) 47
18.7%
Uppercase Letter
ValueCountFrequency (%)
P 10
16.1%
T 8
12.9%
A 8
12.9%
S 8
12.9%
E 8
12.9%
C 4
 
6.5%
M 3
 
4.8%
Q 3
 
4.8%
L 2
 
3.2%
O 2
 
3.2%
Other values (5) 6
9.7%
Decimal Number
ValueCountFrequency (%)
0 93
32.4%
2 88
30.7%
1 43
15.0%
9 19
 
6.6%
8 9
 
3.1%
3 9
 
3.1%
6 8
 
2.8%
4 7
 
2.4%
7 6
 
2.1%
5 5
 
1.7%
Other Punctuation
ValueCountFrequency (%)
. 99
96.1%
" 4
 
3.9%
Open Punctuation
ValueCountFrequency (%)
( 34
97.1%
[ 1
 
2.9%
Close Punctuation
ValueCountFrequency (%)
) 34
97.1%
] 1
 
2.9%
Space Separator
ValueCountFrequency (%)
152
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 811
45.6%
Common 654
36.8%
Latin 313
 
17.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
자 45
 
5.5%
기 34
 
4.2%
사 34
 
4.2%
종 26
 
3.2%
공 26
 
3.2%
항 23
 
2.8%
시 23
 
2.8%
격 20
 
2.5%
험 17
 
2.1%
년 15
 
1.8%
Other values (146) 548
67.6%
Latin
ValueCountFrequency (%)
p 55
17.6%
w 36
 
11.5%
h 36
 
11.5%
f 17
 
5.4%
l 16
 
5.1%
x 10
 
3.2%
e 10
 
3.2%
v 10
 
3.2%
P 10
 
3.2%
T 8
 
2.6%
Other values (29) 105
33.5%
Common
ValueCountFrequency (%)
152
23.2%
. 99
15.1%
0 93
14.2%
2 88
13.5%
1 43
 
6.6%
( 34
 
5.2%
) 34
 
5.2%
_ 26
 
4.0%
9 19
 
2.9%
- 16
 
2.4%
Other values (9) 50
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 967
54.4%
Hangul 811
45.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
152
15.7%
. 99
 
10.2%
0 93
 
9.6%
2 88
 
9.1%
p 55
 
5.7%
1 43
 
4.4%
w 36
 
3.7%
h 36
 
3.7%
( 34
 
3.5%
) 34
 
3.5%
Other values (48) 297
30.7%
Hangul
ValueCountFrequency (%)
자 45
 
5.5%
기 34
 
4.2%
사 34
 
4.2%
종 26
 
3.2%
공 26
 
3.2%
항 23
 
2.8%
시 23
 
2.8%
격 20
 
2.5%
험 17
 
2.1%
년 15
 
1.8%
Other values (146) 548
67.6%

저장파일명
Text

MISSING 

Distinct50
Distinct (%)100.0%
Missing17
Missing (%)25.4%
Memory size668.0 B
2023-12-13T04:04:45.941133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters1250
Distinct characters16
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)100.0%

Sample

1st rowkcmBBS_202003130129332571
2nd rowkcmBBS_202003130129332570
3rd rowkcmBBS_202003130129332582
4th rowkcmBBS_202003041021380740
5th rowkcmBBS_202003021133403060
ValueCountFrequency (%)
kcmbbs_202002110211103590 1
 
2.0%
kcmbbs_201912300625481290 1
 
2.0%
kcmbbs_201911200132592541 1
 
2.0%
kcmbbs_201911200132592530 1
 
2.0%
kcmbbs_201911200132592542 1
 
2.0%
kcmbbs_201911200132592543 1
 
2.0%
kcmbbs_201911200132592544 1
 
2.0%
kcmbbs_201911200132592545 1
 
2.0%
kcmbbs_201910311028404150 1
 
2.0%
kcmbbs_201908300954467891 1
 
2.0%
Other values (40) 40
80.0%
2023-12-13T04:04:46.351437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 244
19.5%
2 193
15.4%
1 146
11.7%
B 100
8.0%
3 65
 
5.2%
9 54
 
4.3%
8 52
 
4.2%
k 50
 
4.0%
c 50
 
4.0%
m 50
 
4.0%
Other values (6) 246
19.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 900
72.0%
Uppercase Letter 150
 
12.0%
Lowercase Letter 150
 
12.0%
Connector Punctuation 50
 
4.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 244
27.1%
2 193
21.4%
1 146
16.2%
3 65
 
7.2%
9 54
 
6.0%
8 52
 
5.8%
4 46
 
5.1%
5 45
 
5.0%
6 28
 
3.1%
7 27
 
3.0%
Lowercase Letter
ValueCountFrequency (%)
k 50
33.3%
c 50
33.3%
m 50
33.3%
Uppercase Letter
ValueCountFrequency (%)
B 100
66.7%
S 50
33.3%
Connector Punctuation
ValueCountFrequency (%)
_ 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 950
76.0%
Latin 300
 
24.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 244
25.7%
2 193
20.3%
1 146
15.4%
3 65
 
6.8%
9 54
 
5.7%
8 52
 
5.5%
_ 50
 
5.3%
4 46
 
4.8%
5 45
 
4.7%
6 28
 
2.9%
Latin
ValueCountFrequency (%)
B 100
33.3%
k 50
16.7%
c 50
16.7%
m 50
16.7%
S 50
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1250
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 244
19.5%
2 193
15.4%
1 146
11.7%
B 100
8.0%
3 65
 
5.2%
9 54
 
4.3%
8 52
 
4.2%
k 50
 
4.0%
c 50
 
4.0%
m 50
 
4.0%
Other values (6) 246
19.7%

파일확장자
Categorical

Distinct8
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Memory size668.0 B
hwp
36 
flv
10 
P
6 
pdf
5 
zip
4 
Other values (3)
6 

Length

Max length4
Median length3
Mean length2.8955224
Min length1

Unique

Unique2 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
hwp 36
53.7%
flv 10
 
14.9%
P 6
 
9.0%
pdf 5
 
7.5%
zip 4
 
6.0%
xlsx 4
 
6.0%
png 1
 
1.5%
<NA> 1
 
1.5%

Length

2023-12-13T04:04:46.523870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:04:46.652942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
hwp 36
53.7%
flv 10
 
14.9%
p 6
 
9.0%
pdf 5
 
7.5%
zip 4
 
6.0%
xlsx 4
 
6.0%
png 1
 
1.5%
na 1
 
1.5%

파일크기
Real number (ℝ)

MISSING 

Distinct50
Distinct (%)89.3%
Missing11
Missing (%)16.4%
Infinite0
Infinite (%)0.0%
Mean4888854.3
Minimum11200
Maximum74298489
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2023-12-13T04:04:46.812173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11200
5-th percentile12938.75
Q117792
median57088
Q31380500
95-th percentile16717568
Maximum74298489
Range74287289
Interquartile range (IQR)1362708

Descriptive statistics

Standard deviation14327651
Coefficient of variation (CV)2.9306765
Kurtosis19.250817
Mean4888854.3
Median Absolute Deviation (MAD)44195.5
Skewness4.3201189
Sum2.7377584 × 108
Variance2.0528157 × 1014
MonotonicityNot monotonic
2023-12-13T04:04:46.981824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19968 2
 
3.0%
1146880 2
 
3.0%
16384 2
 
3.0%
16896 2
 
3.0%
74298489 2
 
3.0%
15872 2
 
3.0%
14460 1
 
1.5%
20992 1
 
1.5%
2443079 1
 
1.5%
12800 1
 
1.5%
Other values (40) 40
59.7%
(Missing) 11
 
16.4%
ValueCountFrequency (%)
11200 1
1.5%
12263 1
1.5%
12800 1
1.5%
12985 1
1.5%
13531 1
1.5%
14460 1
1.5%
15360 1
1.5%
15872 2
3.0%
16384 2
3.0%
16896 2
3.0%
ValueCountFrequency (%)
74298489 2
3.0%
23975936 1
1.5%
14298112 1
1.5%
12940288 1
1.5%
12606464 1
1.5%
11718656 1
1.5%
11663872 1
1.5%
9327621 1
1.5%
9018204 1
1.5%
3625994 1
1.5%

파일설명
Text

MISSING 

Distinct50
Distinct (%)96.2%
Missing15
Missing (%)22.4%
Memory size668.0 B
2023-12-13T04:04:47.211723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length37
Mean length27.538462
Min length5

Characters and Unicode

Total characters1432
Distinct characters192
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)92.3%

Sample

1st row별첨2 항공영어구술능력평가증명 시험 QnA (20200301 기준)
2nd row별첨1 항공종사자 자격증명 시험_QnA (20200301 기준)
3rd row별첨3 초경량비행장치 조종자증명 시험 QnA (20200301 기준)
4th row7.종합안내서 - 항공영어구술능력증명(2020.2.28 기준)
5th row외국자격증명_취득자_전환_안내문(2020.1.1 기준)
ValueCountFrequency (%)
기준 12
 
5.9%
8
 
3.9%
자격시험 8
 
3.9%
및 6
 
2.9%
예산성과금 4
 
2.0%
초경량비행장치 4
 
2.0%
자격증명 4
 
2.0%
응시자격 4
 
2.0%
기각사례 4
 
2.0%
20200301 3
 
1.5%
Other values (127) 148
72.2%
2023-12-13T04:04:47.655194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
153
 
10.7%
2 86
 
6.0%
0 80
 
5.6%
. 44
 
3.1%
자 44
 
3.1%
1 40
 
2.8%
사 34
 
2.4%
기 34
 
2.4%
) 29
 
2.0%
( 29
 
2.0%
Other values (182) 859
60.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 782
54.6%
Decimal Number 266
 
18.6%
Space Separator 153
 
10.7%
Uppercase Letter 47
 
3.3%
Lowercase Letter 45
 
3.1%
Other Punctuation 44
 
3.1%
Close Punctuation 30
 
2.1%
Open Punctuation 30
 
2.1%
Connector Punctuation 19
 
1.3%
Dash Punctuation 15
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
자 44
 
5.6%
사 34
 
4.3%
기 34
 
4.3%
공 26
 
3.3%
종 26
 
3.3%
시 23
 
2.9%
항 23
 
2.9%
격 20
 
2.6%
험 17
 
2.2%
정 15
 
1.9%
Other values (134) 520
66.5%
Lowercase Letter
ValueCountFrequency (%)
e 10
22.2%
n 6
13.3%
m 4
 
8.9%
o 4
 
8.9%
t 4
 
8.9%
l 2
 
4.4%
i 2
 
4.4%
a 2
 
4.4%
x 2
 
4.4%
u 2
 
4.4%
Other values (6) 7
15.6%
Uppercase Letter
ValueCountFrequency (%)
T 8
17.0%
E 8
17.0%
A 7
14.9%
S 6
12.8%
P 5
10.6%
Q 3
 
6.4%
C 2
 
4.3%
L 2
 
4.3%
D 2
 
4.3%
O 1
 
2.1%
Other values (3) 3
 
6.4%
Decimal Number
ValueCountFrequency (%)
2 86
32.3%
0 80
30.1%
1 40
15.0%
9 16
 
6.0%
3 9
 
3.4%
8 9
 
3.4%
6 8
 
3.0%
4 7
 
2.6%
7 7
 
2.6%
5 4
 
1.5%
Close Punctuation
ValueCountFrequency (%)
) 29
96.7%
] 1
 
3.3%
Open Punctuation
ValueCountFrequency (%)
( 29
96.7%
[ 1
 
3.3%
Space Separator
ValueCountFrequency (%)
153
100.0%
Other Punctuation
ValueCountFrequency (%)
. 44
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 782
54.6%
Common 558
39.0%
Latin 92
 
6.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
자 44
 
5.6%
사 34
 
4.3%
기 34
 
4.3%
공 26
 
3.3%
종 26
 
3.3%
시 23
 
2.9%
항 23
 
2.9%
격 20
 
2.6%
험 17
 
2.2%
정 15
 
1.9%
Other values (134) 520
66.5%
Latin
ValueCountFrequency (%)
e 10
 
10.9%
T 8
 
8.7%
E 8
 
8.7%
A 7
 
7.6%
n 6
 
6.5%
S 6
 
6.5%
P 5
 
5.4%
m 4
 
4.3%
o 4
 
4.3%
t 4
 
4.3%
Other values (19) 30
32.6%
Common
ValueCountFrequency (%)
153
27.4%
2 86
15.4%
0 80
14.3%
. 44
 
7.9%
1 40
 
7.2%
) 29
 
5.2%
( 29
 
5.2%
_ 19
 
3.4%
9 16
 
2.9%
- 15
 
2.7%
Other values (9) 47
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 782
54.6%
ASCII 650
45.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
153
23.5%
2 86
13.2%
0 80
12.3%
. 44
 
6.8%
1 40
 
6.2%
) 29
 
4.5%
( 29
 
4.5%
_ 19
 
2.9%
9 16
 
2.5%
- 15
 
2.3%
Other values (38) 139
21.4%
Hangul
ValueCountFrequency (%)
자 44
 
5.6%
사 34
 
4.3%
기 34
 
4.3%
공 26
 
3.3%
종 26
 
3.3%
시 23
 
2.9%
항 23
 
2.9%
격 20
 
2.6%
험 17
 
2.2%
정 15
 
1.9%
Other values (134) 520
66.5%

최초등록일시
Date

MISSING 

Distinct23
Distinct (%)46.0%
Missing17
Missing (%)25.4%
Memory size668.0 B
Minimum2019-04-08 00:00:00
Maximum2020-03-13 00:00:00
2023-12-13T04:04:47.816470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:04:47.969976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

Interactions

2023-12-13T04:04:44.560025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:04:48.104750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
원본파일명저장파일명파일확장자파일크기파일설명최초등록일시
원본파일명1.0001.0001.0001.0001.0000.983
저장파일명1.0001.0001.0001.0001.0001.000
파일확장자1.0001.0001.0000.4281.0000.938
파일크기1.0001.0000.4281.0001.0000.788
파일설명1.0001.0001.0001.0001.0000.983
최초등록일시0.9831.0000.9380.7880.9831.000
2023-12-13T04:04:48.231226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
파일크기파일확장자
파일크기1.0000.332
파일확장자0.3321.000

Missing values

2023-12-13T04:04:44.692578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:04:44.809632image/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.
2023-12-13T04:04:44.923717image/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

원본파일명저장파일명파일확장자파일크기파일설명최초등록일시
0별첨2 항공영어구술능력평가증명 시험 QnA (20200301 기준)."hwp"kcmBBS_202003130129332571hwp63488별첨2 항공영어구술능력평가증명 시험 QnA (20200301 기준)2020-03-13
1별첨1 항공종사자 자격증명 시험_QnA (20200301 기준)."hwp"kcmBBS_202003130129332570hwp37376별첨1 항공종사자 자격증명 시험_QnA (20200301 기준)2020-03-13
2별첨3 초경량비행장치 조종자증명 시험 QnA (20200301 기준).hwpkcmBBS_202003130129332582hwp22528별첨3 초경량비행장치 조종자증명 시험 QnA (20200301 기준)2020-03-13
37.종합안내서 - 항공영어구술능력증명(2020.2.28 기준).hwpkcmBBS_202003041021380740hwp11468807.종합안내서 - 항공영어구술능력증명(2020.2.28 기준)2020-03-04
4외국자격증명_취득자_전환_안내문(2020.1.1 기준).hwpkcmBBS_202003021133403060hwp16384외국자격증명_취득자_전환_안내문(2020.1.1 기준)2020-03-02
520200228 항공정비사 한정사항 변경에 따른 기존 자격 취득자 및 응시자에 대한 법령 개정 적용 안내.hwpkcmBBS_202002281044201390hwp2713620200228 항공정비사 한정사항 변경에 따른 기존 자격 취득자 및 응시자에 대한 법령 개정 적용 안내2020-02-28
66.종합안내서 - 초경량비행장치조종자(2020.1.3. 기준).hwpkcmBBS_202002280828109685hwp142981126.종합안내서 - 초경량비행장치조종자(2020.1.3. 기준)2020-02-28
77.종합안내서 - 항공영어구술능력증명(2020.2.28 기준).hwpkcmBBS_202002280828110026hwp11468807.종합안내서 - 항공영어구술능력증명(2020.2.28 기준)2020-02-28
85.종합안내서 - 경량항공기조종사(2020.2.28 기준).hwpkcmBBS_202002280828109384hwp126064645.종합안내서 - 경량항공기조종사(2020.2.28 기준)2020-02-28
94.종합안내서 - 운항관리사(2020.2.28 기준).hwpkcmBBS_202002280828109083hwp116638724.종합안내서 - 운항관리사(2020.2.28 기준)2020-02-28
원본파일명저장파일명파일확장자파일크기파일설명최초등록일시
57flv<NA>flv<NA><NA><NA>
58flv<NA>flv<NA><NA><NA>
59flv<NA>flv<NA><NA><NA>
60flv<NA>flv<NA><NA><NA>
61flv<NA>flv<NA><NA><NA>
62flv<NA>flv<NA><NA><NA>
63flv<NA>flv<NA><NA><NA>
64flv<NA>flv<NA><NA><NA>
65flv<NA>flv<NA><NA><NA>
66f<NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

원본파일명저장파일명파일확장자파일크기파일설명최초등록일시# duplicates
0flv<NA>flv<NA><NA><NA>10