Overview

Dataset statistics

Number of variables4
Number of observations53
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory35.5 B

Variable types

Categorical2
Text2

Dataset

Description한국전력기술(주)에서 관리하는 정기간행물 등록 현황으로, 정기간행물 발행년도, 정기간행물명, 발행처, 간기 데이터를 제공합니다.
URLhttps://www.data.go.kr/data/15074298/fileData.do

Alerts

발행년도 has constant value ""Constant
정기간행물명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:16:01.879303
Analysis finished2023-12-12 10:16:02.488986
Duration0.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

발행년도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size556.0 B
2022
53 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022
2nd row2022
3rd row2022
4th row2022
5th row2022

Common Values

ValueCountFrequency (%)
2022 53
100.0%

Length

2023-12-12T19:16:02.594046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:16:02.705422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 53
100.0%

정기간행물명
Text

UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size556.0 B
2023-12-12T19:16:03.005817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length33
Mean length15.924528
Min length2

Characters and Unicode

Total characters844
Distinct characters126
Distinct categories7 ?
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 (%)100.0%

Sample

1st rowElectric Power
2nd rowWind Power Journal
3rd row물가자료
4th row물가정보
5th row자동제어계측
ValueCountFrequency (%)
journal 9
 
7.1%
technology 5
 
3.9%
of 4
 
3.1%
power 4
 
3.1%
3
 
2.4%
science 3
 
2.4%
on 3
 
2.4%
transactions 3
 
2.4%
international 3
 
2.4%
and 3
 
2.4%
Other values (78) 87
68.5%
2023-12-12T19:16:03.591336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
75
 
8.9%
E 57
 
6.8%
N 57
 
6.8%
O 48
 
5.7%
A 42
 
5.0%
I 41
 
4.9%
R 40
 
4.7%
T 34
 
4.0%
C 33
 
3.9%
L 31
 
3.7%
Other values (116) 386
45.7%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 517
61.3%
Other Letter 192
 
22.7%
Space Separator 75
 
8.9%
Lowercase Letter 46
 
5.5%
Other Punctuation 6
 
0.7%
Close Punctuation 4
 
0.5%
Open Punctuation 4
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 13
 
6.8%
지 9
 
4.7%
학 8
 
4.2%
회 8
 
4.2%
전 7
 
3.6%
계 6
 
3.1%
논 6
 
3.1%
문 6
 
3.1%
력 5
 
2.6%
경 5
 
2.6%
Other values (71) 119
62.0%
Uppercase Letter
ValueCountFrequency (%)
E 57
11.0%
N 57
11.0%
O 48
9.3%
A 42
 
8.1%
I 41
 
7.9%
R 40
 
7.7%
T 34
 
6.6%
C 33
 
6.4%
L 31
 
6.0%
S 26
 
5.0%
Other values (15) 108
20.9%
Lowercase Letter
ValueCountFrequency (%)
e 6
13.0%
o 6
13.0%
r 5
10.9%
n 5
10.9%
c 4
8.7%
l 4
8.7%
i 3
6.5%
a 2
 
4.3%
t 2
 
4.3%
s 2
 
4.3%
Other values (5) 7
15.2%
Other Punctuation
ValueCountFrequency (%)
& 4
66.7%
, 2
33.3%
Space Separator
ValueCountFrequency (%)
75
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 563
66.7%
Hangul 192
 
22.7%
Common 89
 
10.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 13
 
6.8%
지 9
 
4.7%
학 8
 
4.2%
회 8
 
4.2%
전 7
 
3.6%
계 6
 
3.1%
논 6
 
3.1%
문 6
 
3.1%
력 5
 
2.6%
경 5
 
2.6%
Other values (71) 119
62.0%
Latin
ValueCountFrequency (%)
E 57
 
10.1%
N 57
 
10.1%
O 48
 
8.5%
A 42
 
7.5%
I 41
 
7.3%
R 40
 
7.1%
T 34
 
6.0%
C 33
 
5.9%
L 31
 
5.5%
S 26
 
4.6%
Other values (30) 154
27.4%
Common
ValueCountFrequency (%)
75
84.3%
& 4
 
4.5%
) 4
 
4.5%
( 4
 
4.5%
, 2
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 652
77.3%
Hangul 192
 
22.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
75
 
11.5%
E 57
 
8.7%
N 57
 
8.7%
O 48
 
7.4%
A 42
 
6.4%
I 41
 
6.3%
R 40
 
6.1%
T 34
 
5.2%
C 33
 
5.1%
L 31
 
4.8%
Other values (35) 194
29.8%
Hangul
ValueCountFrequency (%)
기 13
 
6.8%
지 9
 
4.7%
학 8
 
4.2%
회 8
 
4.2%
전 7
 
3.6%
계 6
 
3.1%
논 6
 
3.1%
문 6
 
3.1%
력 5
 
2.6%
경 5
 
2.6%
Other values (71) 119
62.0%

발행처
Text

Distinct36
Distinct (%)67.9%
Missing0
Missing (%)0.0%
Memory size556.0 B
2023-12-12T19:16:03.912998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length22
Mean length8.6415094
Min length3

Characters and Unicode

Total characters458
Distinct characters115
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)50.9%

Sample

1st row전력문화사
2nd row전력문화사
3rd row한국물가협회
4th row한국물가정보
5th row제어계측사
ValueCountFrequency (%)
대한전기학회 5
 
7.0%
inc 4
 
5.6%
대한기계학회 4
 
5.6%
ieee 3
 
4.2%
aci 3
 
4.2%
에너지경제연구원 3
 
4.2%
한국전력기술 2
 
2.8%
2
 
2.8%
선박해양플랜트연구소 2
 
2.8%
매일경제신문사 2
 
2.8%
Other values (40) 41
57.7%
2023-12-12T19:16:04.415303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
한 27
 
5.9%
회 21
 
4.6%
18
 
3.9%
기 16
 
3.5%
학 16
 
3.5%
국 15
 
3.3%
전 13
 
2.8%
I 13
 
2.8%
대 12
 
2.6%
E 11
 
2.4%
Other values (105) 296
64.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 292
63.8%
Uppercase Letter 80
 
17.5%
Lowercase Letter 59
 
12.9%
Space Separator 18
 
3.9%
Other Punctuation 8
 
1.7%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
한 27
 
9.2%
회 21
 
7.2%
기 16
 
5.5%
학 16
 
5.5%
국 15
 
5.1%
전 13
 
4.5%
대 12
 
4.1%
원 9
 
3.1%
력 9
 
3.1%
사 8
 
2.7%
Other values (61) 146
50.0%
Uppercase Letter
ValueCountFrequency (%)
I 13
16.2%
E 11
13.8%
C 10
12.5%
A 7
8.8%
N 5
 
6.2%
R 5
 
6.2%
P 4
 
5.0%
G 4
 
5.0%
L 3
 
3.8%
S 3
 
3.8%
Other values (12) 15
18.8%
Lowercase Letter
ValueCountFrequency (%)
n 7
11.9%
a 6
10.2%
r 6
10.2%
e 6
10.2%
i 5
8.5%
o 5
8.5%
t 4
 
6.8%
u 4
 
6.8%
l 3
 
5.1%
s 3
 
5.1%
Other values (8) 10
16.9%
Other Punctuation
ValueCountFrequency (%)
. 6
75.0%
& 2
 
25.0%
Space Separator
ValueCountFrequency (%)
18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 292
63.8%
Latin 139
30.3%
Common 27
 
5.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
한 27
 
9.2%
회 21
 
7.2%
기 16
 
5.5%
학 16
 
5.5%
국 15
 
5.1%
전 13
 
4.5%
대 12
 
4.1%
원 9
 
3.1%
력 9
 
3.1%
사 8
 
2.7%
Other values (61) 146
50.0%
Latin
ValueCountFrequency (%)
I 13
 
9.4%
E 11
 
7.9%
C 10
 
7.2%
A 7
 
5.0%
n 7
 
5.0%
a 6
 
4.3%
r 6
 
4.3%
e 6
 
4.3%
i 5
 
3.6%
o 5
 
3.6%
Other values (30) 63
45.3%
Common
ValueCountFrequency (%)
18
66.7%
. 6
 
22.2%
& 2
 
7.4%
- 1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 292
63.8%
ASCII 166
36.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
한 27
 
9.2%
회 21
 
7.2%
기 16
 
5.5%
학 16
 
5.5%
국 15
 
5.1%
전 13
 
4.5%
대 12
 
4.1%
원 9
 
3.1%
력 9
 
3.1%
사 8
 
2.7%
Other values (61) 146
50.0%
ASCII
ValueCountFrequency (%)
18
 
10.8%
I 13
 
7.8%
E 11
 
6.6%
C 10
 
6.0%
A 7
 
4.2%
n 7
 
4.2%
a 6
 
3.6%
r 6
 
3.6%
e 6
 
3.6%
. 6
 
3.6%
Other values (34) 76
45.8%

간기
Categorical

Distinct5
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size556.0 B
월간
27 
격월간
10 
계간
9 
반년간
6 
주간
 
1

Length

Max length3
Median length2
Mean length2.3018868
Min length2

Unique

Unique1 ?
Unique (%)1.9%

Sample

1st row월간
2nd row계간
3rd row월간
4th row월간
5th row월간

Common Values

ValueCountFrequency (%)
월간 27
50.9%
격월간 10
 
18.9%
계간 9
 
17.0%
반년간 6
 
11.3%
주간 1
 
1.9%

Length

2023-12-12T19:16:04.608952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:16:04.779198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
월간 27
50.9%
격월간 10
 
18.9%
계간 9
 
17.0%
반년간 6
 
11.3%
주간 1
 
1.9%

Correlations

2023-12-12T19:16:04.893606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정기간행물명발행처간기
정기간행물명1.0001.0001.000
발행처1.0001.0000.664
간기1.0000.6641.000

Missing values

2023-12-12T19:16:02.249225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:16:02.445223image/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

발행년도정기간행물명발행처간기
02022Electric Power전력문화사월간
12022Wind Power Journal전력문화사계간
22022물가자료한국물가협회월간
32022물가정보한국물가정보월간
42022자동제어계측제어계측사월간
52022품질경영한국표준협회월간
62022ACI MATERIALS JOURNALACI월간
72022ACI STRUCTURAL JOURNALACI월간
82022CONCRETE INTERNATIONALACI월간
92022CARBON CAPTURE JOURNALCarbon Capture Journal월간
발행년도정기간행물명발행처간기
432022전기정보한국전기공업협동조합격월간
442022전력기술한국전력기술계간
452022전기의 세계대한전기학회월간
462022SERICEO Monthly삼성경제연구소월간
472022한국지진공학회 논문집한국지진공학회계간
482022사업체노동력조사 보고서고용노동부월간
492022에너지경제연구에너지경제연구원반년간
502022KEMRI 전력경제 REVIEW한국전력공사 경제경영연구원월간
512022부식과 방식한국부식학회반년간
522022중앙연구원 오늘과 내일한국수력원자력 중앙연구원계간