Overview

Dataset statistics

Number of variables9
Number of observations51
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.8 KiB
Average record size in memory75.5 B

Variable types

Numeric1
Categorical3
Text5

Dataset

Description한국수력원자력(주) 본사 기술정보관리실에서 소장 중인 자료 중 내부규정에 의거 사외공개가 가능한 구독간행물 소장 현황을 공개합니다.
Author공공데이터포털
URLhttps://www.data.go.kr/data/15101444/fileData.do

Alerts

순번 is highly overall correlated with 분류High correlation
분류 is highly overall correlated with 순번High correlation
발행주기 is highly overall correlated with 2023High correlation
2023 is highly overall correlated with 발행주기High correlation
순번 has unique valuesUnique

Reproduction

Analysis started2024-04-21 15:29:56.949612
Analysis finished2024-04-21 15:29:58.562028
Duration1.61 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26
Minimum1
Maximum51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size587.0 B
2024-04-22T00:29:58.696357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.5
Q113.5
median26
Q338.5
95-th percentile48.5
Maximum51
Range50
Interquartile range (IQR)25

Descriptive statistics

Standard deviation14.866069
Coefficient of variation (CV)0.57177187
Kurtosis-1.2
Mean26
Median Absolute Deviation (MAD)13
Skewness0
Sum1326
Variance221
MonotonicityStrictly increasing
2024-04-22T00:29:58.948242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
2.0%
2 1
 
2.0%
29 1
 
2.0%
30 1
 
2.0%
31 1
 
2.0%
32 1
 
2.0%
33 1
 
2.0%
34 1
 
2.0%
35 1
 
2.0%
36 1
 
2.0%
Other values (41) 41
80.4%
ValueCountFrequency (%)
1 1
2.0%
2 1
2.0%
3 1
2.0%
4 1
2.0%
5 1
2.0%
6 1
2.0%
7 1
2.0%
8 1
2.0%
9 1
2.0%
10 1
2.0%
ValueCountFrequency (%)
51 1
2.0%
50 1
2.0%
49 1
2.0%
48 1
2.0%
47 1
2.0%
46 1
2.0%
45 1
2.0%
44 1
2.0%
43 1
2.0%
42 1
2.0%

분류
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)35.3%
Missing0
Missing (%)0.0%
Memory size536.0 B
연구
17 
수력
기계
내진
기후변화
Other values (13)
16 

Length

Max length5
Median length2
Mean length2.254902
Min length2

Unique

Unique10 ?
Unique (%)19.6%

Sample

1st row해외
2nd row정책
3rd row정책
4th row기후변화
5th row기후변화

Common Values

ValueCountFrequency (%)
연구 17
33.3%
수력 9
17.6%
기계 4
 
7.8%
내진 3
 
5.9%
기후변화 2
 
3.9%
보안 2
 
3.9%
품질 2
 
3.9%
정책 2
 
3.9%
전기 1
 
2.0%
기술개발 1
 
2.0%
Other values (8) 8
15.7%

Length

2024-04-22T00:29:59.182759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
연구 17
33.3%
수력 9
17.6%
기계 4
 
7.8%
내진 3
 
5.9%
기후변화 2
 
3.9%
보안 2
 
3.9%
품질 2
 
3.9%
정책 2
 
3.9%
엔지니어링 1
 
2.0%
해외 1
 
2.0%
Other values (8) 8
15.7%
Distinct29
Distinct (%)56.9%
Missing0
Missing (%)0.0%
Memory size536.0 B
2024-04-22T00:29:59.814776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length16
Mean length12.980392
Min length3

Characters and Unicode

Total characters662
Distinct characters106
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

Unique19 ?
Unique (%)37.3%

Sample

1st rowNS Media Group
2nd row한국원자력산업회의(KAIF)
3rd row한국에너지학회(KOSEE)
4th row한국에너지기후변화학회(KOSECC)
5th row기후변화센터
ValueCountFrequency (%)
산업연구원(kiet 7
 
12.5%
대한전기학회(kiee 5
 
8.9%
대한기계학회(ksme 4
 
7.1%
에너지경제연구원(keei 3
 
5.4%
과학기술정책연구원(stepi 3
 
5.4%
한국지진공학회(eesk 3
 
5.4%
전력연구원(kepri 2
 
3.6%
한국터널지하공간학회(ktusa 2
 
3.6%
한국원자력연구원(kaeri 2
 
3.6%
한국전력공사 2
 
3.6%
Other values (22) 23
41.1%
2024-04-22T00:30:00.684318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
E 45
 
6.8%
) 43
 
6.5%
( 43
 
6.5%
K 39
 
5.9%
30
 
4.5%
26
 
3.9%
25
 
3.8%
I 25
 
3.8%
24
 
3.6%
20
 
3.0%
Other values (96) 342
51.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 370
55.9%
Uppercase Letter 192
29.0%
Close Punctuation 43
 
6.5%
Open Punctuation 43
 
6.5%
Lowercase Letter 8
 
1.2%
Space Separator 5
 
0.8%
Connector Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
30
 
8.1%
26
 
7.0%
25
 
6.8%
24
 
6.5%
20
 
5.4%
17
 
4.6%
17
 
4.6%
17
 
4.6%
13
 
3.5%
13
 
3.5%
Other values (66) 168
45.4%
Uppercase Letter
ValueCountFrequency (%)
E 45
23.4%
K 39
20.3%
I 25
13.0%
S 19
9.9%
T 14
 
7.3%
A 10
 
5.2%
R 7
 
3.6%
M 6
 
3.1%
P 6
 
3.1%
C 5
 
2.6%
Other values (8) 16
 
8.3%
Lowercase Letter
ValueCountFrequency (%)
p 1
12.5%
i 1
12.5%
u 1
12.5%
o 1
12.5%
r 1
12.5%
a 1
12.5%
e 1
12.5%
d 1
12.5%
Close Punctuation
ValueCountFrequency (%)
) 43
100.0%
Open Punctuation
ValueCountFrequency (%)
( 43
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 370
55.9%
Latin 200
30.2%
Common 92
 
13.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
30
 
8.1%
26
 
7.0%
25
 
6.8%
24
 
6.5%
20
 
5.4%
17
 
4.6%
17
 
4.6%
17
 
4.6%
13
 
3.5%
13
 
3.5%
Other values (66) 168
45.4%
Latin
ValueCountFrequency (%)
E 45
22.5%
K 39
19.5%
I 25
12.5%
S 19
9.5%
T 14
 
7.0%
A 10
 
5.0%
R 7
 
3.5%
M 6
 
3.0%
P 6
 
3.0%
C 5
 
2.5%
Other values (16) 24
12.0%
Common
ValueCountFrequency (%)
) 43
46.7%
( 43
46.7%
5
 
5.4%
_ 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 370
55.9%
ASCII 292
44.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
E 45
15.4%
) 43
14.7%
( 43
14.7%
K 39
13.4%
I 25
8.6%
S 19
6.5%
T 14
 
4.8%
A 10
 
3.4%
R 7
 
2.4%
M 6
 
2.1%
Other values (20) 41
14.0%
Hangul
ValueCountFrequency (%)
30
 
8.1%
26
 
7.0%
25
 
6.8%
24
 
6.5%
20
 
5.4%
17
 
4.6%
17
 
4.6%
17
 
4.6%
13
 
3.5%
13
 
3.5%
Other values (66) 168
45.4%

발행주기
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)13.7%
Missing0
Missing (%)0.0%
Memory size536.0 B
월간
21 
계간
격월간
반년간
부정기
Other values (2)

Length

Max length3
Median length2
Mean length2.3529412
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row월간
2nd row월간
3rd row연간
4th row반년간
5th row연간

Common Values

ValueCountFrequency (%)
월간 21
41.2%
계간 8
 
15.7%
격월간 6
 
11.8%
반년간 5
 
9.8%
부정기 5
 
9.8%
연간 4
 
7.8%
격주간 2
 
3.9%

Length

2024-04-22T00:30:01.031776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T00:30:01.379782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
월간 21
41.2%
계간 8
 
15.7%
격월간 6
 
11.8%
반년간 5
 
9.8%
부정기 5
 
9.8%
연간 4
 
7.8%
격주간 2
 
3.9%
Distinct50
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size536.0 B
2024-04-22T00:30:02.224943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length77
Median length48
Mean length17.156863
Min length2

Characters and Unicode

Total characters875
Distinct characters154
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)96.1%

Sample

1st rowNuclear Engineering International
2nd row원자력산업
3rd row에너지공학
4th row에너지 기후변화 학회지
5th row연간보고서
ValueCountFrequency (%)
of 9
 
6.7%
journal 5
 
3.7%
and 4
 
3.0%
engineering 4
 
3.0%
각종 3
 
2.2%
보고서(간행물 2
 
1.5%
stepi 2
 
1.5%
international 2
 
1.5%
전기학회논문지 2
 
1.5%
technology(영문 2
 
1.5%
Other values (93) 99
73.9%
2024-04-22T00:30:03.617137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
83
 
9.5%
n 49
 
5.6%
o 41
 
4.7%
e 35
 
4.0%
a 33
 
3.8%
r 28
 
3.2%
l 25
 
2.9%
i 24
 
2.7%
E 20
 
2.3%
c 19
 
2.2%
Other values (144) 518
59.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 349
39.9%
Other Letter 289
33.0%
Uppercase Letter 126
 
14.4%
Space Separator 83
 
9.5%
Open Punctuation 12
 
1.4%
Close Punctuation 12
 
1.4%
Other Punctuation 3
 
0.3%
Connector Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
13
 
4.5%
12
 
4.2%
12
 
4.2%
11
 
3.8%
11
 
3.8%
8
 
2.8%
8
 
2.8%
7
 
2.4%
6
 
2.1%
6
 
2.1%
Other values (95) 195
67.5%
Lowercase Letter
ValueCountFrequency (%)
n 49
14.0%
o 41
11.7%
e 35
10.0%
a 33
9.5%
r 28
8.0%
l 25
7.2%
i 24
 
6.9%
c 19
 
5.4%
u 18
 
5.2%
t 16
 
4.6%
Other values (12) 61
17.5%
Uppercase Letter
ValueCountFrequency (%)
E 20
15.9%
I 14
11.1%
T 14
11.1%
J 9
 
7.1%
R 9
 
7.1%
P 8
 
6.3%
S 8
 
6.3%
K 7
 
5.6%
N 7
 
5.6%
A 5
 
4.0%
Other values (11) 25
19.8%
Other Punctuation
ValueCountFrequency (%)
& 2
66.7%
. 1
33.3%
Space Separator
ValueCountFrequency (%)
83
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 475
54.3%
Hangul 289
33.0%
Common 111
 
12.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
13
 
4.5%
12
 
4.2%
12
 
4.2%
11
 
3.8%
11
 
3.8%
8
 
2.8%
8
 
2.8%
7
 
2.4%
6
 
2.1%
6
 
2.1%
Other values (95) 195
67.5%
Latin
ValueCountFrequency (%)
n 49
 
10.3%
o 41
 
8.6%
e 35
 
7.4%
a 33
 
6.9%
r 28
 
5.9%
l 25
 
5.3%
i 24
 
5.1%
E 20
 
4.2%
c 19
 
4.0%
u 18
 
3.8%
Other values (33) 183
38.5%
Common
ValueCountFrequency (%)
83
74.8%
( 12
 
10.8%
) 12
 
10.8%
& 2
 
1.8%
_ 1
 
0.9%
. 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 586
67.0%
Hangul 289
33.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
83
 
14.2%
n 49
 
8.4%
o 41
 
7.0%
e 35
 
6.0%
a 33
 
5.6%
r 28
 
4.8%
l 25
 
4.3%
i 24
 
4.1%
E 20
 
3.4%
c 19
 
3.2%
Other values (39) 229
39.1%
Hangul
ValueCountFrequency (%)
13
 
4.5%
12
 
4.2%
12
 
4.2%
11
 
3.8%
11
 
3.8%
8
 
2.8%
8
 
2.8%
7
 
2.4%
6
 
2.1%
6
 
2.1%
Other values (95) 195
67.5%

2020
Text

Distinct31
Distinct (%)60.8%
Missing0
Missing (%)0.0%
Memory size536.0 B
2024-04-22T00:30:04.401610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length86
Median length74
Mean length31.72549
Min length2

Characters and Unicode

Total characters1618
Distinct characters32
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

Unique27 ?
Unique (%)52.9%

Sample

1st row1월(1부) 2월(1부) 3월(1부) 5월(1부) 6월(1부) 7월(1부) 8월(1부) 9월(1부) 10월(1부) 11월(1부) 12월(1부)
2nd row2월(2부) 3월(2부) 4월(1부) 5월(1부) 6월(1부) 7월(1부) 9월(2부)
3rd row12월(1부)
4th row6월(2부)
5th row없음
ValueCountFrequency (%)
3월(1부 20
 
8.4%
9월(1부 19
 
8.0%
12월(1부 18
 
7.6%
5월(1부 18
 
7.6%
6월(1부 18
 
7.6%
11월(1부 15
 
6.3%
2월(1부 15
 
6.3%
7월(1부 15
 
6.3%
8월(1부 15
 
6.3%
4월(1부 14
 
5.9%
Other values (32) 71
29.8%
2024-04-22T00:30:05.578513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 284
17.6%
( 221
13.7%
) 221
13.7%
220
13.6%
209
12.9%
187
11.6%
2 56
 
3.5%
3 25
 
1.5%
9 24
 
1.5%
6 21
 
1.3%
Other values (22) 150
9.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 498
30.8%
Other Letter 489
30.2%
Open Punctuation 221
13.7%
Close Punctuation 221
13.7%
Space Separator 187
 
11.6%
Math Symbol 1
 
0.1%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
220
45.0%
209
42.7%
14
 
2.9%
14
 
2.9%
7
 
1.4%
5
 
1.0%
5
 
1.0%
3
 
0.6%
2
 
0.4%
2
 
0.4%
Other values (7) 8
 
1.6%
Decimal Number
ValueCountFrequency (%)
1 284
57.0%
2 56
 
11.2%
3 25
 
5.0%
9 24
 
4.8%
6 21
 
4.2%
5 20
 
4.0%
7 18
 
3.6%
4 17
 
3.4%
8 17
 
3.4%
0 16
 
3.2%
Open Punctuation
ValueCountFrequency (%)
( 221
100.0%
Close Punctuation
ValueCountFrequency (%)
) 221
100.0%
Space Separator
ValueCountFrequency (%)
187
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1128
69.7%
Hangul 489
30.2%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
220
45.0%
209
42.7%
14
 
2.9%
14
 
2.9%
7
 
1.4%
5
 
1.0%
5
 
1.0%
3
 
0.6%
2
 
0.4%
2
 
0.4%
Other values (7) 8
 
1.6%
Common
ValueCountFrequency (%)
1 284
25.2%
( 221
19.6%
) 221
19.6%
187
16.6%
2 56
 
5.0%
3 25
 
2.2%
9 24
 
2.1%
6 21
 
1.9%
5 20
 
1.8%
7 18
 
1.6%
Other values (4) 51
 
4.5%
Latin
ValueCountFrequency (%)
S 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1129
69.8%
Hangul 489
30.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 284
25.2%
( 221
19.6%
) 221
19.6%
187
16.6%
2 56
 
5.0%
3 25
 
2.2%
9 24
 
2.1%
6 21
 
1.9%
5 20
 
1.8%
7 18
 
1.6%
Other values (5) 52
 
4.6%
Hangul
ValueCountFrequency (%)
220
45.0%
209
42.7%
14
 
2.9%
14
 
2.9%
7
 
1.4%
5
 
1.0%
5
 
1.0%
3
 
0.6%
2
 
0.4%
2
 
0.4%
Other values (7) 8
 
1.6%

2021
Text

Distinct32
Distinct (%)62.7%
Missing0
Missing (%)0.0%
Memory size536.0 B
2024-04-22T00:30:06.346287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length800
Median length86
Mean length55.372549
Min length2

Characters and Unicode

Total characters2824
Distinct characters33
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)45.1%

Sample

1st row1월(1부) 2월(1부) 3월(1부) 4월(1부) 5월(1부) 6월(1부) 7월(1부) 8월(1부) 9월(1부) 부록(1부) 10월(1부) 11월(1부) 12월(1부)
2nd row3월(3부) 6월(1부) 7월(1부) 8월(6부) 9월(1부) 10월(1부) 12월(1부)
3rd row12월(1부)
4th row6월(1부) 12월(1부)
5th row2020년(1부)
ValueCountFrequency (%)
9월(1부 26
 
9.0%
6월(1부 25
 
8.6%
12월(1부 25
 
8.6%
7월(1부 22
 
7.6%
10월(1부 21
 
7.2%
11월(1부 21
 
7.2%
3월(1부 20
 
6.9%
8월(1부 20
 
6.9%
1월(1부 19
 
6.6%
5월(1부 17
 
5.9%
Other values (34) 74
25.5%
2024-04-22T00:30:07.582579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1019
36.1%
1 388
 
13.7%
( 279
 
9.9%
279
 
9.9%
) 279
 
9.9%
269
 
9.5%
2 57
 
2.0%
3 33
 
1.2%
9 29
 
1.0%
6 28
 
1.0%
Other values (23) 164
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Space Separator 1019
36.1%
Decimal Number 648
22.9%
Other Letter 586
20.8%
Open Punctuation 279
 
9.9%
Close Punctuation 279
 
9.9%
Connector Punctuation 10
 
0.4%
Math Symbol 1
 
< 0.1%
Uppercase Letter 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
279
47.6%
269
45.9%
5
 
0.9%
5
 
0.9%
5
 
0.9%
5
 
0.9%
4
 
0.7%
3
 
0.5%
2
 
0.3%
2
 
0.3%
Other values (6) 7
 
1.2%
Decimal Number
ValueCountFrequency (%)
1 388
59.9%
2 57
 
8.8%
3 33
 
5.1%
9 29
 
4.5%
6 28
 
4.3%
0 27
 
4.2%
7 25
 
3.9%
8 24
 
3.7%
5 21
 
3.2%
4 16
 
2.5%
Space Separator
ValueCountFrequency (%)
1019
100.0%
Open Punctuation
ValueCountFrequency (%)
( 279
100.0%
Close Punctuation
ValueCountFrequency (%)
) 279
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 10
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
100.0%
Other Punctuation
ValueCountFrequency (%)
\ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2237
79.2%
Hangul 586
 
20.8%
Latin 1
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
1019
45.6%
1 388
 
17.3%
( 279
 
12.5%
) 279
 
12.5%
2 57
 
2.5%
3 33
 
1.5%
9 29
 
1.3%
6 28
 
1.3%
0 27
 
1.2%
7 25
 
1.1%
Other values (6) 73
 
3.3%
Hangul
ValueCountFrequency (%)
279
47.6%
269
45.9%
5
 
0.9%
5
 
0.9%
5
 
0.9%
5
 
0.9%
4
 
0.7%
3
 
0.5%
2
 
0.3%
2
 
0.3%
Other values (6) 7
 
1.2%
Latin
ValueCountFrequency (%)
S 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2238
79.2%
Hangul 586
 
20.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1019
45.5%
1 388
 
17.3%
( 279
 
12.5%
) 279
 
12.5%
2 57
 
2.5%
3 33
 
1.5%
9 29
 
1.3%
6 28
 
1.3%
0 27
 
1.2%
7 25
 
1.1%
Other values (7) 74
 
3.3%
Hangul
ValueCountFrequency (%)
279
47.6%
269
45.9%
5
 
0.9%
5
 
0.9%
5
 
0.9%
5
 
0.9%
4
 
0.7%
3
 
0.5%
2
 
0.3%
2
 
0.3%
Other values (6) 7
 
1.2%

2022
Text

Distinct34
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size536.0 B
2024-04-22T00:30:08.365152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length86
Median length71
Mean length38.901961
Min length2

Characters and Unicode

Total characters1984
Distinct characters32
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

Unique29 ?
Unique (%)56.9%

Sample

1st row1월(1부) 2월(1부) 3월(1부) 4월(1부) 5월(1부) 6월(1부) 7월(1부) 9월(1부) 10월(1부) 11월(1부)
2nd row3월(1부) 4월(2부) 5월(2부) 6월(1부) 7월(1부) 8월(2부) 9월(1부) 10월(2부) 12월(1부)
3rd row6월(1부) 12월(1부)
4th row6월(1부) 12월(1부)
5th row2021년(1부)
ValueCountFrequency (%)
3월(1부 24
 
8.4%
6월(1부 23
 
8.1%
1월(1부 22
 
7.7%
12월(1부 21
 
7.4%
9월(1부 20
 
7.0%
4월(1부 20
 
7.0%
11월(1부 19
 
6.7%
2월(1부 19
 
6.7%
5월(1부 18
 
6.3%
8월(1부 17
 
6.0%
Other values (37) 82
28.8%
2024-04-22T00:30:09.757548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 358
18.0%
( 271
13.7%
) 271
13.7%
270
13.6%
266
13.4%
234
11.8%
2 62
 
3.1%
3 36
 
1.8%
6 28
 
1.4%
4 25
 
1.3%
Other values (22) 163
8.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 615
31.0%
Other Letter 585
29.5%
Open Punctuation 271
13.7%
Close Punctuation 271
13.7%
Space Separator 234
 
11.8%
Connector Punctuation 7
 
0.4%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
270
46.2%
266
45.5%
5
 
0.9%
5
 
0.9%
5
 
0.9%
5
 
0.9%
5
 
0.9%
4
 
0.7%
4
 
0.7%
4
 
0.7%
Other values (7) 12
 
2.1%
Decimal Number
ValueCountFrequency (%)
1 358
58.2%
2 62
 
10.1%
3 36
 
5.9%
6 28
 
4.6%
4 25
 
4.1%
9 24
 
3.9%
5 24
 
3.9%
8 20
 
3.3%
7 20
 
3.3%
0 18
 
2.9%
Open Punctuation
ValueCountFrequency (%)
( 271
100.0%
Close Punctuation
ValueCountFrequency (%)
) 271
100.0%
Space Separator
ValueCountFrequency (%)
234
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 7
100.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1398
70.5%
Hangul 585
29.5%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
270
46.2%
266
45.5%
5
 
0.9%
5
 
0.9%
5
 
0.9%
5
 
0.9%
5
 
0.9%
4
 
0.7%
4
 
0.7%
4
 
0.7%
Other values (7) 12
 
2.1%
Common
ValueCountFrequency (%)
1 358
25.6%
( 271
19.4%
) 271
19.4%
234
16.7%
2 62
 
4.4%
3 36
 
2.6%
6 28
 
2.0%
4 25
 
1.8%
9 24
 
1.7%
5 24
 
1.7%
Other values (4) 65
 
4.6%
Latin
ValueCountFrequency (%)
S 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1399
70.5%
Hangul 585
29.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 358
25.6%
( 271
19.4%
) 271
19.4%
234
16.7%
2 62
 
4.4%
3 36
 
2.6%
6 28
 
2.0%
4 25
 
1.8%
9 24
 
1.7%
5 24
 
1.7%
Other values (5) 66
 
4.7%
Hangul
ValueCountFrequency (%)
270
46.2%
266
45.5%
5
 
0.9%
5
 
0.9%
5
 
0.9%
5
 
0.9%
5
 
0.9%
4
 
0.7%
4
 
0.7%
4
 
0.7%
Other values (7) 12
 
2.1%

2023
Categorical

HIGH CORRELATION 

Distinct20
Distinct (%)39.2%
Missing0
Missing (%)0.0%
Memory size536.0 B
없음
12 
1월(1부) 2월(1부) 3월(1부) 4월(1부) 5월(1부)
3월(1부)
별도
1월(1부) 2월(1부) 3월(1부) 4월(1부)
Other values (15)
18 

Length

Max length34
Median length27
Mean length14.509804
Min length2

Unique

Unique12 ?
Unique (%)23.5%

Sample

1st row없음
2nd row1월(1부) 2월(2부) 3월(2부) 4월(2부) 5월(2부)
3rd row3월(1부)
4th row없음
5th row없음

Common Values

ValueCountFrequency (%)
없음 12
23.5%
1월(1부) 2월(1부) 3월(1부) 4월(1부) 5월(1부) 8
15.7%
3월(1부) 5
9.8%
별도 5
9.8%
1월(1부) 2월(1부) 3월(1부) 4월(1부) 3
 
5.9%
3월(1부) 4월(1부) 5월(1부) 2
 
3.9%
1월(1부) 2월(2부) 3월(2부) 4월(2부) 5월(2부) 2
 
3.9%
격주 2
 
3.9%
2월(1부) 4월(1부) 1
 
2.0%
1_2월(1부) 1
 
2.0%
Other values (10) 10
19.6%

Length

2024-04-22T00:30:10.196986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
3월(1부 23
18.9%
4월(1부 17
13.9%
1월(1부 16
13.1%
2월(1부 15
12.3%
없음 12
9.8%
5월(1부 12
9.8%
별도 5
 
4.1%
1_2월(1부 3
 
2.5%
3_4월(1부 2
 
1.6%
격주 2
 
1.6%
Other values (11) 15
12.3%

Interactions

2024-04-22T00:29:58.055362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-22T00:30:10.457032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번분류기관명발행주기간행물명2020202120222023
순번1.0000.8920.9760.4420.9450.7580.7490.8100.776
분류0.8921.0001.0000.0001.0000.6140.9060.8950.744
기관명0.9761.0001.0000.0000.9960.8340.8880.9050.748
발행주기0.4420.0000.0001.0001.0000.9670.9670.9590.903
간행물명0.9451.0000.9961.0001.0001.0001.0001.0001.000
20200.7580.6140.8340.9671.0001.0000.9670.9700.914
20210.7490.9060.8880.9671.0000.9671.0000.9790.988
20220.8100.8950.9050.9591.0000.9700.9791.0000.997
20230.7760.7440.7480.9031.0000.9140.9880.9971.000
2024-04-22T00:30:10.748475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
발행주기분류2023
발행주기1.0000.0000.566
분류0.0001.0000.295
20230.5660.2951.000
2024-04-22T00:30:10.996842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번분류발행주기2023
순번1.0000.5330.1790.275
분류0.5331.0000.0000.295
발행주기0.1790.0001.0000.566
20230.2750.2950.5661.000

Missing values

2024-04-22T00:29:58.245698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-22T00:29:58.475616image/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

순번분류기관명발행주기간행물명2020202120222023
01해외NS Media Group월간Nuclear Engineering International1월(1부) 2월(1부) 3월(1부) 5월(1부) 6월(1부) 7월(1부) 8월(1부) 9월(1부) 10월(1부) 11월(1부) 12월(1부)1월(1부) 2월(1부) 3월(1부) 4월(1부) 5월(1부) 6월(1부) 7월(1부) 8월(1부) 9월(1부) 부록(1부) 10월(1부) 11월(1부) 12월(1부)1월(1부) 2월(1부) 3월(1부) 4월(1부) 5월(1부) 6월(1부) 7월(1부) 9월(1부) 10월(1부) 11월(1부)없음
12정책한국원자력산업회의(KAIF)월간원자력산업2월(2부) 3월(2부) 4월(1부) 5월(1부) 6월(1부) 7월(1부) 9월(2부)3월(3부) 6월(1부) 7월(1부) 8월(6부) 9월(1부) 10월(1부) 12월(1부)3월(1부) 4월(2부) 5월(2부) 6월(1부) 7월(1부) 8월(2부) 9월(1부) 10월(2부) 12월(1부)1월(1부) 2월(2부) 3월(2부) 4월(2부) 5월(2부)
23정책한국에너지학회(KOSEE)연간에너지공학12월(1부)12월(1부)6월(1부) 12월(1부)3월(1부)
34기후변화한국에너지기후변화학회(KOSECC)반년간에너지 기후변화 학회지6월(2부)6월(1부) 12월(1부)6월(1부) 12월(1부)없음
45기후변화기후변화센터연간연간보고서없음2020년(1부)2021년(1부)없음
56기술개발한국산업기술진흥협회(KOITA)월간기술과 혁신3월(1부) 4월(1부) 5월(1부) 7없음8월(1부) 9없음10월(1부) 11없음12월(1부)1_2월(1부) 3_4월(1부) 5_6월(1부) 7_8월(1부) 9_10월(1부) 11_12월(1부)1_2월(1부) 3_4월(1부) 5_6월(1부) 9_10월(1부)1_2월(1부)
67원전수출한국원전수출산업협회(KNA)연간국가별 원전도입 및 수출 동향분석2020년(2부)없음11월 발간예정없음
78내진한국지진공학회(EESK)격월간Journal of the Earthquake Engineering Society of Korea(국문)1월(2부) 5월호(2부) 7월(2부) 9월(3부)1월(3부) 3월(3부) 5월(3부) 7월(3부) 9월(3부) 11월(3부)1월(3부) 3월(3부) 5월(3부) 7월(3부) 9월(3부) 11월(3부)1월(3부) 3월(3부) 5월(3부)
89내진한국지진공학회(EESK)반년간학술발표회 논문집24호(3권)25호(3권)25호(3권)26호(3권)
910내진한국지진공학회(EESK)부정기각종 자료집별도별도별도별도
순번분류기관명발행주기간행물명2020202120222023
4142기계대한기계학회(KSME)월간대한기계학회논문집 A1월(1부) 2월(1부) 3월(1부) 4월(1부) 5월(1부) 6월(1부) 7월(1부) 8월(1부) 9월(1부) 10월(1부) 11월(1부) 12월(1부)1월(1부) 2월(1부) 3월(1부) 5월(1부) 6월(1부) 7월(1부) 8월(1부) 9월(1부) 10월(1부) 11월(1부) 12월(1부)1월(1부) 2월(1부) 3월(1부) 4월(1부) 5월(1부) 6월(1부) 7월(1부) 8월(1부) 9월(1부) 10월(1부) 11월(1부) 12월(1부)1월(1부) 2월(1부) 3월(1부) 4월(1부) 5월(1부)
4243기계대한기계학회(KSME)월간대한기계학회논문집 B1월(1부) 2월(1부) 3월(1부) 4월(1부) 5월(1부) 6월(1부) 7월(1부) 8월(1부) 9월(1부) 10월(1부) 11월(1부) 12월(1부)1월(1부) 2월(1부) 3월(1부) 5월(1부) 6월(1부) 7월(1부) 8월(1부) 9월(1부) 10월(1부) 11월(1부) 12월(1부)1월(1부) 2월(1부) 3월(1부) 4월(1부) 5월(1부) 6월(1부) 7월(1부) 8월(1부) 9월(1부) 10월(1부) 11월(1부) 12월(1부)1월(1부) 2월(1부) 3월(1부) 4월(1부) 5월(1부)
4344기계대한기계학회(KSME)월간Journal of Mechanical Science and Technology(영문)1월(1부) 2월(1부) 3월(1부) 4월(1부) 5월(1부) 6월(1부) 7월(1부) 8월(1부) 9월(1부) 10월(1부) 11월(1부) 12월(1부)1월(1부) 2월(1부) 3월(1부) 4월(1부) 5월(1부) 6월(1부) 7월(1부) 8월(1부) 9월(1부) 10월(1부) 11월(1부) 12월(1부)1월(1부) 2월(1부) 3월(1부) 4월(1부) 5월(1부) 6월(1부) 7월(1부) 8월(1부) 9월(1부) 10월(1부) 11월(1부) 12월(1부)1월(1부) 2월(1부) 3월(1부) 4월(1부) 5월(1부)
4445전기전우문화사월간월간전기없음1월(1부) 2월(1부) 3월(1부) 4월(1부) 5월(1부) 6월(1부) 7월(1부) 8월(1부) 9월(1부) 10월(1부) 11월(1부) 12월(1부)1월(1부) 2월(1부) 3월(1부) 4월(1부) 5월(1부) 6월(1부) 7월(1부) 8월(1부) 9월(1부) 10월(1부) 11월(1부) 12월(1부)1월(1부) 2월(1부) 3월(1부) 4월(1부) 5월(1부)
4546수소수소지식그룹월간월간수소경제없음1월(1부) 2월(1부) 3월(1부) 4월(1부) 5월(1부) 6월(1부) 7월(1부) 8월(1부) 9월(1부) 10월(1부) 11월(1부) 12월(1부)1월(1부) 2월(1부) 3월(1부) 4월(1부) 5월(1부) 6월(1부) 7월(1부) 8월(1부) 9월(1부) 10월(1부) 11월(1부) 12월(1부)1월(1부) 2월(1부) 3월(1부) 4월(1부) 5월(1부)
4647에너지에너지코리아뉴스월간월간에너지코리아없음1월(1부) 2월(1부) 3월(1부) 4월(1부) 5월(2부) 6월(2부) 7월(1부) 8월(2부) 9월(1부) 11월(2부) 12월(1부)1월(2부) 2월(2부) 3월(2부) 4월(2부) 6월(2부) 7월(2부) 8월(2부) 9월(2부) 10월(2부) 11월(2부)1월(1부) 2월(2부) 3월(2부) 4월(2부) 5월(2부)
4748기술산업통상자원부월간이달의 신기술없음5월(1부) 6월(1부) 7월(1부) 8월(1부) 10월(1부) 11월(1부) 12월(1부)1월(1부) 2월(1부) 3월(1부) 4월(1부) 7월(1부) 8월(1부) 9월(1부) 10월(1부) 11월(1부) 12월(1부)1월(2부) 2월(1부) 3월(1부) 4월(1부) 5월(1부)
4849보안화산미디어월간네트워크타임즈없음6월(1부) 7월(1부) 8월(1부) 9월(1부) 10월(1부) 11월(1부) 12월(1부)1월(1부) 2월(1부) 3월(1부) 4월(1부) 5월(1부) 6월(1부) 7월(1부) 8월(1부) 9월(1부) 10월(1부) 11월(1부) 12월(1부)1월(1부) 2월(1부) 3월(1부) 4월(1부) 5월(1부)
4950보안인포더월간시큐리티월드없음7월(1부) 8월(1부) 9월(1부) 10월(1부) 11월(1부) 12월(1부)1월(1부) 2월(1부) 3월(1부) 5월(1부) 6월(1부) 7월(1부) 8월(1부) 9월(1부) 10월(1부) 11월(1부) 12월(1부)1월(1부) 3월(1부) 4월(1부) 5월(1부)
5051안전대한산업안전협회격월간안전기술없음7_8월(1부) 9_10월(2부) 11_12월(1부)1_2월(1부) 3_4월(1부) 5_6월(1부)1_2월(1부) 3_4월(1부) 5_6월(1부)