Overview

Dataset statistics

Number of variables8
Number of observations447
Missing cells310
Missing cells (%)8.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory28.5 KiB
Average record size in memory65.3 B

Variable types

Text4
Categorical3
DateTime1

Dataset

Description기술정보 논문관련정보로 공개 간행물에 대한 목록을 제공합니다.( 간행물등록번호 간행물명 간행물명(영문) 기술관리등급 발간조직명 발간연도 보고서종류코드 등록일자)
Author한국전력공사
URLhttps://www.data.go.kr/data/3069487/fileData.do

Alerts

기술관리등급 is highly overall correlated with 보고서종류코드High correlation
보고서종류코드 is highly overall correlated with 기술관리등급High correlation
간행물명(영문) has 310 (69.4%) missing valuesMissing
간행물등록번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:29:03.259586
Analysis finished2023-12-12 05:29:04.118304
Duration0.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct447
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2023-12-12T14:29:04.276320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length18
Mean length17.876957
Min length13

Characters and Unicode

Total characters7991
Distinct characters31
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique447 ?
Unique (%)100.0%

Sample

1st rowTM.9327.S2020.0197
2nd rowDTP.2020.0007
3rd rowTM.9327.S2021.0154
4th rowTC.9327.S2020.0235
5th rowTM.9332.M2023.0126
ValueCountFrequency (%)
tm.9327.s2020.0197 1
 
0.2%
tc.1255.s2022.0077 1
 
0.2%
tr.9327.g2021.0152 1
 
0.2%
tr.9346.s2021.0127 1
 
0.2%
tr.8034.s2021.0081 1
 
0.2%
tm.9327.s2021.0153 1
 
0.2%
tm.9334.m2022.0241 1
 
0.2%
tm.9334.m2022.0243 1
 
0.2%
tr.1324.s2022.0237 1
 
0.2%
tm.8033.s2022.0224 1
 
0.2%
Other values (437) 437
97.8%
2023-12-12T14:29:04.641904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1441
18.0%
2 1432
17.9%
. 1330
16.6%
3 531
 
6.6%
T 459
 
5.7%
1 450
 
5.6%
9 415
 
5.2%
7 359
 
4.5%
M 346
 
4.3%
S 281
 
3.5%
Other values (21) 947
11.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5177
64.8%
Uppercase Letter 1484
 
18.6%
Other Punctuation 1330
 
16.6%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
T 459
30.9%
M 346
23.3%
S 281
18.9%
P 105
 
7.1%
R 84
 
5.7%
C 66
 
4.4%
K 38
 
2.6%
B 27
 
1.8%
J 14
 
0.9%
D 14
 
0.9%
Other values (10) 50
 
3.4%
Decimal Number
ValueCountFrequency (%)
0 1441
27.8%
2 1432
27.7%
3 531
 
10.3%
1 450
 
8.7%
9 415
 
8.0%
7 359
 
6.9%
4 165
 
3.2%
6 160
 
3.1%
8 131
 
2.5%
5 93
 
1.8%
Other Punctuation
ValueCountFrequency (%)
. 1330
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6507
81.4%
Latin 1484
 
18.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
T 459
30.9%
M 346
23.3%
S 281
18.9%
P 105
 
7.1%
R 84
 
5.7%
C 66
 
4.4%
K 38
 
2.6%
B 27
 
1.8%
J 14
 
0.9%
D 14
 
0.9%
Other values (10) 50
 
3.4%
Common
ValueCountFrequency (%)
0 1441
22.1%
2 1432
22.0%
. 1330
20.4%
3 531
 
8.2%
1 450
 
6.9%
9 415
 
6.4%
7 359
 
5.5%
4 165
 
2.5%
6 160
 
2.5%
8 131
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7991
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1441
18.0%
2 1432
17.9%
. 1330
16.6%
3 531
 
6.6%
T 459
 
5.7%
1 450
 
5.6%
9 415
 
5.2%
7 359
 
4.5%
M 346
 
4.3%
S 281
 
3.5%
Other values (21) 947
11.9%
Distinct441
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2023-12-12T14:29:04.967335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length84
Median length52
Mean length31.480984
Min length13

Characters and Unicode

Total characters14072
Distinct characters439
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique435 ?
Unique (%)97.3%

Sample

1st row율촌복합 1호기 발전비용평가 성능시험 결과보고서
2nd row도심지 소단면(Φ3.5m급) 터널식 공동구 설계 및 시공 핵심기술 개발 최종보고서
3rd row보령복합 1호기 발전비용평가 성능시험 결과보고서
4th row한울N/P 고장파급방지시스템 회로변경 및 연동시험 기술지원 보고서
5th row케이블 잔여수명 예측을 위한 화학적 진단기법 개발(2차년 연차보고서)
ValueCountFrequency (%)
결과보고서 145
 
4.9%
125
 
4.3%
성능시험 104
 
3.5%
보고서 101
 
3.4%
발전비용평가 93
 
3.2%
개발 45
 
1.5%
최종보고서 38
 
1.3%
2호기 37
 
1.3%
하동화력 35
 
1.2%
1호기 30
 
1.0%
Other values (1131) 2181
74.3%
2023-12-12T14:29:05.679566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2515
 
17.9%
437
 
3.1%
424
 
3.0%
404
 
2.9%
397
 
2.8%
354
 
2.5%
309
 
2.2%
236
 
1.7%
201
 
1.4%
194
 
1.4%
Other values (429) 8601
61.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9868
70.1%
Space Separator 2515
 
17.9%
Uppercase Letter 568
 
4.0%
Lowercase Letter 386
 
2.7%
Decimal Number 337
 
2.4%
Other Punctuation 135
 
1.0%
Open Punctuation 119
 
0.8%
Close Punctuation 119
 
0.8%
Dash Punctuation 18
 
0.1%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
437
 
4.4%
424
 
4.3%
404
 
4.1%
397
 
4.0%
354
 
3.6%
309
 
3.1%
236
 
2.4%
201
 
2.0%
194
 
2.0%
187
 
1.9%
Other values (354) 6725
68.1%
Lowercase Letter
ValueCountFrequency (%)
e 42
10.9%
a 40
10.4%
o 34
 
8.8%
r 33
 
8.5%
n 33
 
8.5%
i 28
 
7.3%
t 27
 
7.0%
l 22
 
5.7%
k 21
 
5.4%
s 19
 
4.9%
Other values (15) 87
22.5%
Uppercase Letter
ValueCountFrequency (%)
C 83
14.6%
S 59
 
10.4%
P 52
 
9.2%
T 46
 
8.1%
V 34
 
6.0%
R 32
 
5.6%
G 31
 
5.5%
M 27
 
4.8%
H 27
 
4.8%
D 25
 
4.4%
Other values (13) 152
26.8%
Decimal Number
ValueCountFrequency (%)
2 91
27.0%
1 81
24.0%
3 42
12.5%
0 25
 
7.4%
5 22
 
6.5%
4 22
 
6.5%
7 16
 
4.7%
8 16
 
4.7%
6 16
 
4.7%
9 6
 
1.8%
Other Punctuation
ValueCountFrequency (%)
# 54
40.0%
/ 31
23.0%
, 19
 
14.1%
· 18
 
13.3%
& 6
 
4.4%
. 5
 
3.7%
% 1
 
0.7%
: 1
 
0.7%
Open Punctuation
ValueCountFrequency (%)
( 116
97.5%
3
 
2.5%
Close Punctuation
ValueCountFrequency (%)
) 116
97.5%
3
 
2.5%
Math Symbol
ValueCountFrequency (%)
± 4
80.0%
1
 
20.0%
Space Separator
ValueCountFrequency (%)
2515
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Letter Number
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9868
70.1%
Common 3248
 
23.1%
Latin 955
 
6.8%
Greek 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
437
 
4.4%
424
 
4.3%
404
 
4.1%
397
 
4.0%
354
 
3.6%
309
 
3.1%
236
 
2.4%
201
 
2.0%
194
 
2.0%
187
 
1.9%
Other values (354) 6725
68.1%
Latin
ValueCountFrequency (%)
C 83
 
8.7%
S 59
 
6.2%
P 52
 
5.4%
T 46
 
4.8%
e 42
 
4.4%
a 40
 
4.2%
o 34
 
3.6%
V 34
 
3.6%
r 33
 
3.5%
n 33
 
3.5%
Other values (38) 499
52.3%
Common
ValueCountFrequency (%)
2515
77.4%
( 116
 
3.6%
) 116
 
3.6%
2 91
 
2.8%
1 81
 
2.5%
# 54
 
1.7%
3 42
 
1.3%
/ 31
 
1.0%
0 25
 
0.8%
5 22
 
0.7%
Other values (16) 155
 
4.8%
Greek
ValueCountFrequency (%)
Φ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9868
70.1%
ASCII 4172
29.6%
None 29
 
0.2%
Number Forms 2
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2515
60.3%
( 116
 
2.8%
) 116
 
2.8%
2 91
 
2.2%
C 83
 
2.0%
1 81
 
1.9%
S 59
 
1.4%
# 54
 
1.3%
P 52
 
1.2%
T 46
 
1.1%
Other values (58) 959
 
23.0%
Hangul
ValueCountFrequency (%)
437
 
4.4%
424
 
4.3%
404
 
4.1%
397
 
4.0%
354
 
3.6%
309
 
3.1%
236
 
2.4%
201
 
2.0%
194
 
2.0%
187
 
1.9%
Other values (354) 6725
68.1%
None
ValueCountFrequency (%)
· 18
62.1%
± 4
 
13.8%
3
 
10.3%
3
 
10.3%
Φ 1
 
3.4%
Number Forms
ValueCountFrequency (%)
2
100.0%
Math Operators
ValueCountFrequency (%)
1
100.0%

간행물명(영문)
Text

MISSING 

Distinct86
Distinct (%)62.8%
Missing310
Missing (%)69.4%
Memory size3.6 KiB
2023-12-12T14:29:06.106645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length175
Median length108
Mean length87.927007
Min length32

Characters and Unicode

Total characters12046
Distinct characters73
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique64 ?
Unique (%)46.7%

Sample

1st rowDevelopment of chemical diagnosis technique for the prediction of residual life of power cable
2nd rowDevelopment of situation cognition technology with power system big data for power system stable operation
3rd rowDevelopment of the design and verification technology for the 154kV digital substation network system based on IEC 61850 process bus
4th rowImprovement of voltage regulation scheme and feasibility study for effectiveness of real-time voltage management
5th rowDevelopment of GW HVDC Operation Strategy and Control Performance Optimization Technology based on Replica Controller
ValueCountFrequency (%)
of 159
 
9.8%
development 102
 
6.3%
for 86
 
5.3%
and 54
 
3.3%
technology 42
 
2.6%
power 38
 
2.3%
system 34
 
2.1%
the 28
 
1.7%
on 21
 
1.3%
diagnosis 20
 
1.2%
Other values (419) 1035
63.9%
2023-12-12T14:29:06.798315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1499
12.4%
e 1206
 
10.0%
o 1008
 
8.4%
n 864
 
7.2%
t 827
 
6.9%
i 745
 
6.2%
a 627
 
5.2%
r 627
 
5.2%
l 507
 
4.2%
s 493
 
4.1%
Other values (63) 3643
30.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9749
80.9%
Space Separator 1499
 
12.4%
Uppercase Letter 664
 
5.5%
Dash Punctuation 53
 
0.4%
Decimal Number 43
 
0.4%
Other Punctuation 23
 
0.2%
Close Punctuation 7
 
0.1%
Open Punctuation 7
 
0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1206
12.4%
o 1008
10.3%
n 864
 
8.9%
t 827
 
8.5%
i 745
 
7.6%
a 627
 
6.4%
r 627
 
6.4%
l 507
 
5.2%
s 493
 
5.1%
m 362
 
3.7%
Other values (16) 2483
25.5%
Uppercase Letter
ValueCountFrequency (%)
D 145
21.8%
P 66
9.9%
S 58
 
8.7%
C 56
 
8.4%
I 43
 
6.5%
T 40
 
6.0%
E 40
 
6.0%
A 34
 
5.1%
R 32
 
4.8%
M 21
 
3.2%
Other values (12) 129
19.4%
Decimal Number
ValueCountFrequency (%)
1 10
23.3%
0 9
20.9%
2 9
20.9%
8 4
 
9.3%
4 3
 
7.0%
5 3
 
7.0%
6 2
 
4.7%
9 1
 
2.3%
3 1
 
2.3%
7 1
 
2.3%
Other Punctuation
ValueCountFrequency (%)
& 11
47.8%
/ 3
 
13.0%
. 2
 
8.7%
, 2
 
8.7%
# 2
 
8.7%
; 1
 
4.3%
· 1
 
4.3%
% 1
 
4.3%
Close Punctuation
ValueCountFrequency (%)
) 6
85.7%
] 1
 
14.3%
Open Punctuation
ValueCountFrequency (%)
( 6
85.7%
[ 1
 
14.3%
Space Separator
ValueCountFrequency (%)
1499
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 53
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10413
86.4%
Common 1633
 
13.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1206
 
11.6%
o 1008
 
9.7%
n 864
 
8.3%
t 827
 
7.9%
i 745
 
7.2%
a 627
 
6.0%
r 627
 
6.0%
l 507
 
4.9%
s 493
 
4.7%
m 362
 
3.5%
Other values (38) 3147
30.2%
Common
ValueCountFrequency (%)
1499
91.8%
- 53
 
3.2%
& 11
 
0.7%
1 10
 
0.6%
0 9
 
0.6%
2 9
 
0.6%
) 6
 
0.4%
( 6
 
0.4%
8 4
 
0.2%
4 3
 
0.2%
Other values (15) 23
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12045
> 99.9%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1499
12.4%
e 1206
 
10.0%
o 1008
 
8.4%
n 864
 
7.2%
t 827
 
6.9%
i 745
 
6.2%
a 627
 
5.2%
r 627
 
5.2%
l 507
 
4.2%
s 493
 
4.1%
Other values (62) 3642
30.2%
None
ValueCountFrequency (%)
· 1
100.0%

기술관리등급
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
공개(C)
395 
공개(D)
52 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공개(C)
2nd row공개(D)
3rd row공개(C)
4th row공개(C)
5th row공개(C)

Common Values

ValueCountFrequency (%)
공개(C) 395
88.4%
공개(D) 52
 
11.6%

Length

2023-12-12T14:29:06.994304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:29:07.120969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공개(c 395
88.4%
공개(d 52
 
11.6%
Distinct53
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2023-12-12T14:29:07.351197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length27
Mean length24.208054
Min length5

Characters and Unicode

Total characters10821
Distinct characters111
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)3.4%

Sample

1st row전력연구원 발전기술연구소 전문기술센터 전기성능기술팀
2nd row전력연구원 차세대송변전연구소 구조내진연구실
3rd row전력연구원 발전기술연구소 전문기술센터 전기성능기술팀
4th row전력연구원 발전기술연구소 전문기술센터 전기성능기술팀
5th row전력연구원 에너지환경연구소 기후환경연구실
ValueCountFrequency (%)
전력연구원 447
29.6%
발전기술연구소 249
16.5%
전문기술센터 223
14.8%
전기성능기술팀 163
 
10.8%
에너지환경연구소 48
 
3.2%
차세대송변전연구소 45
 
3.0%
기계진단기술팀 39
 
2.6%
기후환경연구실 22
 
1.5%
전력계통연구실 20
 
1.3%
신재생에너지연구소 20
 
1.3%
Other values (50) 233
15.4%
2023-12-12T14:29:07.699392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1228
 
11.3%
1075
 
9.9%
1066
 
9.9%
1062
 
9.8%
932
 
8.6%
688
 
6.4%
489
 
4.5%
451
 
4.2%
422
 
3.9%
254
 
2.3%
Other values (101) 3154
29.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9612
88.8%
Space Separator 1062
 
9.8%
Uppercase Letter 136
 
1.3%
Other Punctuation 11
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1228
12.8%
1075
 
11.2%
1066
 
11.1%
932
 
9.7%
688
 
7.2%
489
 
5.1%
451
 
4.7%
422
 
4.4%
254
 
2.6%
244
 
2.5%
Other values (84) 2763
28.7%
Uppercase Letter
ValueCountFrequency (%)
P 35
25.7%
D 28
20.6%
I 20
14.7%
S 14
 
10.3%
R 10
 
7.4%
W 7
 
5.1%
T 6
 
4.4%
C 5
 
3.7%
J 3
 
2.2%
E 3
 
2.2%
Other values (5) 5
 
3.7%
Space Separator
ValueCountFrequency (%)
1062
100.0%
Other Punctuation
ValueCountFrequency (%)
& 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9612
88.8%
Common 1073
 
9.9%
Latin 136
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1228
12.8%
1075
 
11.2%
1066
 
11.1%
932
 
9.7%
688
 
7.2%
489
 
5.1%
451
 
4.7%
422
 
4.4%
254
 
2.6%
244
 
2.5%
Other values (84) 2763
28.7%
Latin
ValueCountFrequency (%)
P 35
25.7%
D 28
20.6%
I 20
14.7%
S 14
 
10.3%
R 10
 
7.4%
W 7
 
5.1%
T 6
 
4.4%
C 5
 
3.7%
J 3
 
2.2%
E 3
 
2.2%
Other values (5) 5
 
3.7%
Common
ValueCountFrequency (%)
1062
99.0%
& 11
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9612
88.8%
ASCII 1209
 
11.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1228
12.8%
1075
 
11.2%
1066
 
11.1%
932
 
9.7%
688
 
7.2%
489
 
5.1%
451
 
4.7%
422
 
4.4%
254
 
2.6%
244
 
2.5%
Other values (84) 2763
28.7%
ASCII
ValueCountFrequency (%)
1062
87.8%
P 35
 
2.9%
D 28
 
2.3%
I 20
 
1.7%
S 14
 
1.2%
& 11
 
0.9%
R 10
 
0.8%
W 7
 
0.6%
T 6
 
0.5%
C 5
 
0.4%
Other values (7) 11
 
0.9%

발간연도
Categorical

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2020
154 
2021
131 
2022
129 
2023
33 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020
2nd row2020
3rd row2021
4th row2020
5th row2023

Common Values

ValueCountFrequency (%)
2020 154
34.5%
2021 131
29.3%
2022 129
28.9%
2023 33
 
7.4%

Length

2023-12-12T14:29:07.857535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:29:07.969142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020 154
34.5%
2021 131
29.3%
2022 129
28.9%
2023 33
 
7.4%

보고서종류코드
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
TM(일반)
180 
<NA>
125 
TR(최종)
51 
TC
46 
TM(중간)
41 

Length

Max length6
Median length6
Mean length5.0290828
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd rowTM(일반)
4th row<NA>
5th rowTM(중간)

Common Values

ValueCountFrequency (%)
TM(일반) 180
40.3%
<NA> 125
28.0%
TR(최종) 51
 
11.4%
TC 46
 
10.3%
TM(중간) 41
 
9.2%
TR(일반) 4
 
0.9%

Length

2023-12-12T14:29:08.096298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:29:08.232783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
tm(일반 180
40.3%
na 125
28.0%
tr(최종 51
 
11.4%
tc 46
 
10.3%
tm(중간 41
 
9.2%
tr(일반 4
 
0.9%
Distinct303
Distinct (%)67.8%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
Minimum2018-12-20 00:00:00
Maximum2023-05-31 00:00:00
2023-12-12T14:29:08.414432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:29:08.575082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Correlations

2023-12-12T14:29:08.686695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
간행물명(영문)기술관리등급발간조직명발간연도보고서종류코드
간행물명(영문)1.0000.9910.9990.8690.901
기술관리등급0.9911.0000.7410.2200.573
발간조직명0.9990.7411.0000.7790.680
발간연도0.8690.2200.7791.0000.172
보고서종류코드0.9010.5730.6800.1721.000
2023-12-12T14:29:08.813301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
보고서종류코드발간연도기술관리등급
보고서종류코드1.0000.1410.689
발간연도0.1411.0000.146
기술관리등급0.6890.1461.000
2023-12-12T14:29:08.915953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기술관리등급발간연도보고서종류코드
기술관리등급1.0000.1460.689
발간연도0.1461.0000.141
보고서종류코드0.6890.1411.000

Missing values

2023-12-12T14:29:03.926467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:29:04.062309image/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

간행물등록번호간행물명간행물명(영문)기술관리등급발간조직명발간연도보고서종류코드등록일자
0TM.9327.S2020.0197율촌복합 1호기 발전비용평가 성능시험 결과보고서<NA>공개(C)전력연구원 발전기술연구소 전문기술센터 전기성능기술팀2020<NA>2020-09-16
1DTP.2020.0007도심지 소단면(Φ3.5m급) 터널식 공동구 설계 및 시공 핵심기술 개발 최종보고서<NA>공개(D)전력연구원 차세대송변전연구소 구조내진연구실2020<NA>2020-09-15
2TM.9327.S2021.0154보령복합 1호기 발전비용평가 성능시험 결과보고서<NA>공개(C)전력연구원 발전기술연구소 전문기술센터 전기성능기술팀2021TM(일반)2021-08-10
3TC.9327.S2020.0235한울N/P 고장파급방지시스템 회로변경 및 연동시험 기술지원 보고서<NA>공개(C)전력연구원 발전기술연구소 전문기술센터 전기성능기술팀2020<NA>2020-10-06
4TM.9332.M2023.0126케이블 잔여수명 예측을 위한 화학적 진단기법 개발(2차년 연차보고서)Development of chemical diagnosis technique for the prediction of residual life of power cable공개(C)전력연구원 에너지환경연구소 기후환경연구실2023TM(중간)2023-03-23
5TM.9326.S2020.0198하동화력 #1호기 Platen SH Tube 곡관부 파열원인 분석보고서<NA>공개(C)전력연구원 발전기술연구소 전문기술센터 기계진단기술팀2020<NA>2020-09-14
6TM.9327.S2020.0014월성 4호기 갑종보호계전기 디지털 삼중화 개선 관련 준공시험 보고서<NA>공개(C)전력연구원 발전기술연구소 전문기술센터 전기성능기술팀2020TM(일반)2019-12-27
7TR.9336.S2020.0227국산화 보일러 튜브 용접부 특성 평가 최종보고서<NA>공개(C)전력연구원 발전기술연구소 IDPP연구실2020<NA>2020-10-14
8TM.9345.M2020.0204±500kV HVDC 복합 송전선로 실증인프라 구축 및 운영기술 개발 중간보고서(3차년도)<NA>공개(C)전력연구원 차세대송변전연구소 송전기술연구실2020<NA>2020-09-22
9TM.9337.P2020.0206가스터빈 연소기 연소성능 감시시스템 분석 보고서<NA>공개(C)전력연구원 발전기술연구소 신발전시스템연구실2020<NA>2020-09-25
간행물등록번호간행물명간행물명(영문)기술관리등급발간조직명발간연도보고서종류코드등록일자
437TM.9327.S2022.0019당진복합 1호기 발전비용평가 성능시험 결과보고서<NA>공개(C)전력연구원 발전기술연구소 전문기술센터 전기성능기술팀2022TM(일반)2022-02-03
438TM.70KH.M2023.0018신재생 보안 동향 분석 및 보안 정책 수립Development of Grid DER end-to-end security공개(C)전력연구원 디지털솔루션연구소 지능화솔루션연구실2023TM(중간)2023-01-20
439TM.70KO.S2023.0111V1G 스마트 충전 실증 실험 참여고객 사전 조사 결과 보고서(2020년)Development of VGI control core technologies and field-demonstration of V2G공개(C)전력연구원 스마트배전연구소 유연배전연구실2023TM(일반)2023-02-24
440TM.70KM.P2020.0068TCSC 계통 영향 분석<NA>공개(C)전력연구원 차세대송변전연구소 변전기술연구실2020<NA>2020-03-30
441TM.7991.T2020.0179현장조립형 변압기 및 운영기술(기획조사 결과보고서)<NA>공개(C)전력연구원 연구전략실 R&D기획팀2020TM(일반)2020-08-18
442TM.9327.S2020.0272안산도시개발(주) 안산열병합 발전비용평가성능시험보고서<NA>공개(C)전력연구원 발전기술연구소 전문기술센터 전기성능기술팀2020<NA>2020-12-24
443TM.9326.M2021.0172보일러 주요부품 스트레스 매핑 기술 개발(1차년도 연차보고서)Development of stress mapping technique for boiler공개(C)전력연구원 발전기술연구소 전문기술센터 기계진단기술팀2021TM(중간)2021-09-10
444TM.9327.S2022.0013LH대전서남부열병합 발전소 발전비용평가 성능시험 결과보고서<NA>공개(C)전력연구원 발전기술연구소 전문기술센터 전기성능기술팀2022TM(일반)2022-01-13
445TM.9344.M2022.0014전력계통 안정화장치(PSS) 튜닝 및 성능시험 결과보고서 (당진화력#7)<NA>공개(C)전력연구원 차세대송변전연구소 전력계통연구실2022TM(중간)2022-01-25
446TM.9344.S2022.0015전력계통 안정화장치(PSS) 튜닝 및 성능시험 결과보고서 (울산복합ST#1)<NA>공개(C)전력연구원 차세대송변전연구소 전력계통연구실2022TM(일반)2022-01-25