Overview

Dataset statistics

Number of variables8
Number of observations219
Missing cells3
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.5 KiB
Average record size in memory67.6 B

Variable types

Numeric2
Categorical3
Text3

Dataset

Description한국가스안전공사가 보유하고 있는 가 가스시설, 가스안전관련 도서 목록으로 분야, 도서명, 저자명, 발행연도 등으로 구성된 데이터입니다.
Author한국가스안전공사
URLhttps://www.data.go.kr/data/15001506/fileData.do

Alerts

분야 has constant value ""Constant
입수년도 has constant value ""Constant
번호 is highly overall correlated with 형태High correlation
형태 is highly overall correlated with 번호High correlation
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:01:00.036170
Analysis finished2023-12-12 21:01:01.269246
Duration1.23 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct219
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110
Minimum1
Maximum219
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2023-12-13T06:01:01.375877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile11.9
Q155.5
median110
Q3164.5
95-th percentile208.1
Maximum219
Range218
Interquartile range (IQR)109

Descriptive statistics

Standard deviation63.364028
Coefficient of variation (CV)0.57603661
Kurtosis-1.2
Mean110
Median Absolute Deviation (MAD)55
Skewness0
Sum24090
Variance4015
MonotonicityStrictly increasing
2023-12-13T06:01:01.785925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
152 1
 
0.5%
141 1
 
0.5%
142 1
 
0.5%
143 1
 
0.5%
144 1
 
0.5%
145 1
 
0.5%
146 1
 
0.5%
147 1
 
0.5%
148 1
 
0.5%
Other values (209) 209
95.4%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
219 1
0.5%
218 1
0.5%
217 1
0.5%
216 1
0.5%
215 1
0.5%
214 1
0.5%
213 1
0.5%
212 1
0.5%
211 1
0.5%
210 1
0.5%

분야
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
가스안전
219 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가스안전 219
100.0%

Length

2023-12-13T06:01:01.894577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:01:01.977213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가스안전 219
100.0%
Distinct168
Distinct (%)76.7%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-13T06:01:02.250284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length215
Median length131
Mean length59.826484
Min length4

Characters and Unicode

Total characters13102
Distinct characters304
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique142 ?
Unique (%)64.8%

Sample

1st row2022 Global Conference on Process Safety and Big Data proceedings GCPS : GCPS 콘퍼런스 자료 = 2022 Global Conference on Process Safety and Big Data proceedings GCPS - [전자자료]
2nd rowA New Approach to HAZOP of Complex Chemical Processes
3rd rowACI 351.1R : Report on Grouting between Foundations and Bases for Support of Equipment and Machinery
4th rowACI 351.2R : Report on Foundations for Satic Equipment
5th rowACI 351.3R : Report on Foundations for Dynamic Equipment
ValueCountFrequency (%)
199
 
9.4%
and 53
 
2.5%
of 44
 
2.1%
for 43
 
2.0%
전자자료 31
 
1.5%
safety 21
 
1.0%
gas 20
 
0.9%
20
 
0.9%
fuel 18
 
0.8%
in 18
 
0.8%
Other values (778) 1660
78.0%
2023-12-13T06:01:02.850893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1936
 
14.8%
e 774
 
5.9%
n 574
 
4.4%
a 544
 
4.2%
o 530
 
4.0%
t 511
 
3.9%
i 468
 
3.6%
s 468
 
3.6%
r 444
 
3.4%
l 340
 
2.6%
Other values (294) 6513
49.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6473
49.4%
Other Letter 2103
 
16.1%
Space Separator 1936
 
14.8%
Uppercase Letter 1215
 
9.3%
Decimal Number 793
 
6.1%
Other Punctuation 258
 
2.0%
Dash Punctuation 167
 
1.3%
Close Punctuation 62
 
0.5%
Open Punctuation 62
 
0.5%
Math Symbol 17
 
0.1%
Other values (2) 16
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
111
 
5.3%
79
 
3.8%
74
 
3.5%
55
 
2.6%
54
 
2.6%
46
 
2.2%
37
 
1.8%
36
 
1.7%
36
 
1.7%
35
 
1.7%
Other values (213) 1540
73.2%
Lowercase Letter
ValueCountFrequency (%)
e 774
12.0%
n 574
 
8.9%
a 544
 
8.4%
o 530
 
8.2%
t 511
 
7.9%
i 468
 
7.2%
s 468
 
7.2%
r 444
 
6.9%
l 340
 
5.3%
c 268
 
4.1%
Other values (15) 1552
24.0%
Uppercase Letter
ValueCountFrequency (%)
S 166
13.7%
C 103
 
8.5%
P 102
 
8.4%
A 98
 
8.1%
E 91
 
7.5%
I 88
 
7.2%
G 73
 
6.0%
K 55
 
4.5%
M 53
 
4.4%
N 51
 
4.2%
Other values (13) 335
27.6%
Other Punctuation
ValueCountFrequency (%)
: 155
60.1%
. 33
 
12.8%
, 22
 
8.5%
/ 18
 
7.0%
? 17
 
6.6%
' 3
 
1.2%
& 3
 
1.2%
! 2
 
0.8%
· 2
 
0.8%
" 2
 
0.8%
Decimal Number
ValueCountFrequency (%)
2 227
28.6%
0 154
19.4%
1 148
18.7%
3 53
 
6.7%
4 44
 
5.5%
7 41
 
5.2%
5 39
 
4.9%
6 35
 
4.4%
9 27
 
3.4%
8 25
 
3.2%
Close Punctuation
ValueCountFrequency (%)
] 40
64.5%
) 20
32.3%
2
 
3.2%
Open Punctuation
ValueCountFrequency (%)
[ 40
64.5%
( 20
32.3%
2
 
3.2%
Math Symbol
ValueCountFrequency (%)
= 13
76.5%
+ 4
 
23.5%
Space Separator
ValueCountFrequency (%)
1936
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 167
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 15
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7688
58.7%
Common 3311
25.3%
Hangul 2083
 
15.9%
Han 20
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
111
 
5.3%
79
 
3.8%
74
 
3.6%
55
 
2.6%
54
 
2.6%
46
 
2.2%
37
 
1.8%
36
 
1.7%
36
 
1.7%
35
 
1.7%
Other values (205) 1520
73.0%
Latin
ValueCountFrequency (%)
e 774
 
10.1%
n 574
 
7.5%
a 544
 
7.1%
o 530
 
6.9%
t 511
 
6.6%
i 468
 
6.1%
s 468
 
6.1%
r 444
 
5.8%
l 340
 
4.4%
c 268
 
3.5%
Other values (38) 2767
36.0%
Common
ValueCountFrequency (%)
1936
58.5%
2 227
 
6.9%
- 167
 
5.0%
: 155
 
4.7%
0 154
 
4.7%
1 148
 
4.5%
3 53
 
1.6%
4 44
 
1.3%
7 41
 
1.2%
] 40
 
1.2%
Other values (23) 346
 
10.5%
Han
ValueCountFrequency (%)
3
15.0%
3
15.0%
3
15.0%
3
15.0%
3
15.0%
3
15.0%
1
 
5.0%
1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10992
83.9%
Hangul 2079
 
15.9%
CJK 20
 
0.2%
None 7
 
0.1%
Compat Jamo 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1936
17.6%
e 774
 
7.0%
n 574
 
5.2%
a 544
 
4.9%
o 530
 
4.8%
t 511
 
4.6%
i 468
 
4.3%
s 468
 
4.3%
r 444
 
4.0%
l 340
 
3.1%
Other values (67) 4403
40.1%
Hangul
ValueCountFrequency (%)
111
 
5.3%
79
 
3.8%
74
 
3.6%
55
 
2.6%
54
 
2.6%
46
 
2.2%
37
 
1.8%
36
 
1.7%
36
 
1.7%
35
 
1.7%
Other values (204) 1516
72.9%
Compat Jamo
ValueCountFrequency (%)
4
100.0%
CJK
ValueCountFrequency (%)
3
15.0%
3
15.0%
3
15.0%
3
15.0%
3
15.0%
3
15.0%
1
 
5.0%
1
 
5.0%
None
ValueCountFrequency (%)
2
28.6%
2
28.6%
· 2
28.6%
1
14.3%
Distinct83
Distinct (%)38.1%
Missing1
Missing (%)0.5%
Memory size1.8 KiB
2023-12-13T06:01:03.103425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length40
Mean length18.325688
Min length2

Characters and Unicode

Total characters3995
Distinct characters153
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)22.0%

Sample

1st rowGCPS
2nd rowFabienne-Fariba Salimi, Ali Safavi, Leonhard Urba
3rd rowAmerican Concrete InstituteACI Committee 315.1R
4th rowAmerican Concrete InstituteACI Committee 315.2R
5th rowAmerican Concrete InstituteACI Committee 315.3R
ValueCountFrequency (%)
한국가스안전공사 37
 
8.8%
international 26
 
6.2%
standards 14
 
3.3%
american 13
 
3.1%
electrotechnical 12
 
2.9%
commission 12
 
2.9%
대한기계학회 10
 
2.4%
association 9
 
2.1%
for 8
 
1.9%
standardization 7
 
1.7%
Other values (134) 271
64.7%
2023-12-13T06:01:03.539886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 263
 
6.6%
t 238
 
6.0%
a 236
 
5.9%
i 226
 
5.7%
201
 
5.0%
e 181
 
4.5%
o 169
 
4.2%
r 143
 
3.6%
s 122
 
3.1%
115
 
2.9%
Other values (143) 2101
52.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2054
51.4%
Other Letter 1301
32.6%
Uppercase Letter 371
 
9.3%
Space Separator 201
 
5.0%
Other Punctuation 31
 
0.8%
Decimal Number 28
 
0.7%
Dash Punctuation 3
 
0.1%
Close Punctuation 3
 
0.1%
Open Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
115
 
8.8%
107
 
8.2%
106
 
8.1%
102
 
7.8%
88
 
6.8%
88
 
6.8%
88
 
6.8%
82
 
6.3%
32
 
2.5%
31
 
2.4%
Other values (84) 462
35.5%
Lowercase Letter
ValueCountFrequency (%)
n 263
12.8%
t 238
11.6%
a 236
11.5%
i 226
11.0%
e 181
8.8%
o 169
8.2%
r 143
7.0%
s 122
5.9%
l 91
 
4.4%
c 88
 
4.3%
Other values (14) 297
14.5%
Uppercase Letter
ValueCountFrequency (%)
C 71
19.1%
I 57
15.4%
S 51
13.7%
A 45
12.1%
E 29
7.8%
P 25
 
6.7%
G 17
 
4.6%
L 15
 
4.0%
M 13
 
3.5%
N 9
 
2.4%
Other values (10) 39
10.5%
Decimal Number
ValueCountFrequency (%)
1 8
28.6%
3 7
25.0%
5 7
25.0%
2 3
 
10.7%
6 1
 
3.6%
0 1
 
3.6%
4 1
 
3.6%
Other Punctuation
ValueCountFrequency (%)
. 15
48.4%
, 14
45.2%
; 1
 
3.2%
' 1
 
3.2%
Space Separator
ValueCountFrequency (%)
201
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2425
60.7%
Hangul 1301
32.6%
Common 269
 
6.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
115
 
8.8%
107
 
8.2%
106
 
8.1%
102
 
7.8%
88
 
6.8%
88
 
6.8%
88
 
6.8%
82
 
6.3%
32
 
2.5%
31
 
2.4%
Other values (84) 462
35.5%
Latin
ValueCountFrequency (%)
n 263
 
10.8%
t 238
 
9.8%
a 236
 
9.7%
i 226
 
9.3%
e 181
 
7.5%
o 169
 
7.0%
r 143
 
5.9%
s 122
 
5.0%
l 91
 
3.8%
c 88
 
3.6%
Other values (34) 668
27.5%
Common
ValueCountFrequency (%)
201
74.7%
. 15
 
5.6%
, 14
 
5.2%
1 8
 
3.0%
3 7
 
2.6%
5 7
 
2.6%
- 3
 
1.1%
) 3
 
1.1%
2 3
 
1.1%
( 3
 
1.1%
Other values (5) 5
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2694
67.4%
Hangul 1300
32.5%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 263
 
9.8%
t 238
 
8.8%
a 236
 
8.8%
i 226
 
8.4%
201
 
7.5%
e 181
 
6.7%
o 169
 
6.3%
r 143
 
5.3%
s 122
 
4.5%
l 91
 
3.4%
Other values (49) 824
30.6%
Hangul
ValueCountFrequency (%)
115
 
8.8%
107
 
8.2%
106
 
8.2%
102
 
7.8%
88
 
6.8%
88
 
6.8%
88
 
6.8%
82
 
6.3%
32
 
2.5%
31
 
2.4%
Other values (83) 461
35.5%
Compat Jamo
ValueCountFrequency (%)
1
100.0%
Distinct66
Distinct (%)30.1%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-13T06:01:03.896666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length42
Mean length8.0502283
Min length2

Characters and Unicode

Total characters1763
Distinct characters131
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

Unique38 ?
Unique (%)17.4%

Sample

1st rowGCPS
2nd rowElsevier
3rd rowACI
4th rowACI
5th rowACI
ValueCountFrequency (%)
한국가스안전공사 76
27.7%
iec 12
 
4.4%
대한기계학회 10
 
3.6%
csa 8
 
2.9%
astm 7
 
2.6%
한국화학공학회 6
 
2.2%
iso 6
 
2.2%
aci 5
 
1.8%
bsi 4
 
1.5%
api 4
 
1.5%
Other values (91) 136
49.6%
2023-12-13T06:01:04.413648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
112
 
6.4%
98
 
5.6%
88
 
5.0%
84
 
4.8%
82
 
4.7%
81
 
4.6%
79
 
4.5%
79
 
4.5%
57
 
3.2%
e 54
 
3.1%
Other values (121) 949
53.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 948
53.8%
Lowercase Letter 392
22.2%
Uppercase Letter 319
 
18.1%
Space Separator 57
 
3.2%
Other Punctuation 26
 
1.5%
Decimal Number 6
 
0.3%
Close Punctuation 5
 
0.3%
Dash Punctuation 5
 
0.3%
Open Punctuation 5
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
112
11.8%
98
10.3%
88
9.3%
84
8.9%
82
8.6%
81
8.5%
79
8.3%
79
8.3%
32
 
3.4%
32
 
3.4%
Other values (62) 181
19.1%
Lowercase Letter
ValueCountFrequency (%)
e 54
13.8%
i 41
10.5%
n 38
9.7%
a 29
 
7.4%
l 29
 
7.4%
s 26
 
6.6%
o 24
 
6.1%
t 20
 
5.1%
r 20
 
5.1%
c 18
 
4.6%
Other values (13) 93
23.7%
Uppercase Letter
ValueCountFrequency (%)
C 48
15.0%
A 44
13.8%
I 43
13.5%
S 41
12.9%
E 27
8.5%
P 21
6.6%
M 16
 
5.0%
N 15
 
4.7%
L 10
 
3.1%
T 10
 
3.1%
Other values (13) 44
13.8%
Decimal Number
ValueCountFrequency (%)
2 2
33.3%
3 1
16.7%
0 1
16.7%
7 1
16.7%
1 1
16.7%
Other Punctuation
ValueCountFrequency (%)
. 14
53.8%
, 7
26.9%
: 4
 
15.4%
& 1
 
3.8%
Space Separator
ValueCountFrequency (%)
57
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 948
53.8%
Latin 711
40.3%
Common 104
 
5.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
112
11.8%
98
10.3%
88
9.3%
84
8.9%
82
8.6%
81
8.5%
79
8.3%
79
8.3%
32
 
3.4%
32
 
3.4%
Other values (62) 181
19.1%
Latin
ValueCountFrequency (%)
e 54
 
7.6%
C 48
 
6.8%
A 44
 
6.2%
I 43
 
6.0%
i 41
 
5.8%
S 41
 
5.8%
n 38
 
5.3%
a 29
 
4.1%
l 29
 
4.1%
E 27
 
3.8%
Other values (36) 317
44.6%
Common
ValueCountFrequency (%)
57
54.8%
. 14
 
13.5%
, 7
 
6.7%
) 5
 
4.8%
- 5
 
4.8%
( 5
 
4.8%
: 4
 
3.8%
2 2
 
1.9%
3 1
 
1.0%
0 1
 
1.0%
Other values (3) 3
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 948
53.8%
ASCII 815
46.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
112
11.8%
98
10.3%
88
9.3%
84
8.9%
82
8.6%
81
8.5%
79
8.3%
79
8.3%
32
 
3.4%
32
 
3.4%
Other values (62) 181
19.1%
ASCII
ValueCountFrequency (%)
57
 
7.0%
e 54
 
6.6%
C 48
 
5.9%
A 44
 
5.4%
I 43
 
5.3%
i 41
 
5.0%
S 41
 
5.0%
n 38
 
4.7%
a 29
 
3.6%
l 29
 
3.6%
Other values (49) 391
48.0%

발행년도
Real number (ℝ)

Distinct15
Distinct (%)6.9%
Missing2
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean2020.9585
Minimum2000
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2023-12-13T06:01:04.575157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2000
5-th percentile2015
Q12021
median2022
Q32023
95-th percentile2023
Maximum2023
Range23
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.2164412
Coefficient of variation (CV)0.0015915424
Kurtosis13.394206
Mean2020.9585
Median Absolute Deviation (MAD)1
Skewness-3.197582
Sum438548
Variance10.345494
MonotonicityNot monotonic
2023-12-13T06:01:04.696507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
2022 76
34.7%
2023 70
32.0%
2021 20
 
9.1%
2020 12
 
5.5%
2018 9
 
4.1%
2019 9
 
4.1%
2015 6
 
2.7%
2014 4
 
1.8%
2017 4
 
1.8%
2010 2
 
0.9%
Other values (5) 5
 
2.3%
(Missing) 2
 
0.9%
ValueCountFrequency (%)
2000 1
 
0.5%
2004 1
 
0.5%
2007 1
 
0.5%
2010 2
 
0.9%
2012 1
 
0.5%
2014 4
1.8%
2015 6
2.7%
2016 1
 
0.5%
2017 4
1.8%
2018 9
4.1%
ValueCountFrequency (%)
2023 70
32.0%
2022 76
34.7%
2021 20
 
9.1%
2020 12
 
5.5%
2019 9
 
4.1%
2018 9
 
4.1%
2017 4
 
1.8%
2016 1
 
0.5%
2015 6
 
2.7%
2014 4
 
1.8%

형태
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
단행본
144 
기술표준
75 

Length

Max length4
Median length3
Mean length3.3424658
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
단행본 144
65.8%
기술표준 75
34.2%

Length

2023-12-13T06:01:04.860384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:01:04.984797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단행본 144
65.8%
기술표준 75
34.2%

입수년도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023
219 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2023 219
100.0%

Length

2023-12-13T06:01:05.094347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:01:05.194468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023 219
100.0%

Interactions

2023-12-13T06:01:00.788373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:01:00.629775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:01:00.886125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:01:00.707657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:01:05.270413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호저자명발행처발행년도형태
번호1.0000.9590.9000.2730.996
저자명0.9591.0001.0000.9421.000
발행처0.9001.0001.0000.8191.000
발행년도0.2730.9420.8191.0000.468
형태0.9961.0001.0000.4681.000
2023-12-13T06:01:05.375382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호발행년도형태
번호1.0000.1640.925
발행년도0.1641.0000.343
형태0.9250.3431.000

Missing values

2023-12-13T06:01:00.990210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:01:01.126046image/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.
2023-12-13T06:01:01.212532image/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

번호분야도서명저자명발행처발행년도형태입수년도
01가스안전2022 Global Conference on Process Safety and Big Data proceedings GCPS : GCPS 콘퍼런스 자료 = 2022 Global Conference on Process Safety and Big Data proceedings GCPS - [전자자료]GCPSGCPS2022기술표준2023
12가스안전A New Approach to HAZOP of Complex Chemical ProcessesFabienne-Fariba Salimi, Ali Safavi, Leonhard UrbaElsevier2023기술표준2023
23가스안전ACI 351.1R : Report on Grouting between Foundations and Bases for Support of Equipment and MachineryAmerican Concrete InstituteACI Committee 315.1RACI2012기술표준2023
34가스안전ACI 351.2R : Report on Foundations for Satic EquipmentAmerican Concrete InstituteACI Committee 315.2RACI2020기술표준2023
45가스안전ACI 351.3R : Report on Foundations for Dynamic EquipmentAmerican Concrete InstituteACI Committee 315.3RACI2022기술표준2023
56가스안전ACI 351.4M : Spectification for Installation of Cementitious Grouting between Foundations and Equipment BasesAmerican Concrete InstituteACI Committee 315.4MACI2014기술표준2023
67가스안전ACI 351.5 : Specification for Installation of Epoxy Grout between Foundations and Equipment BasesAmerican Concrete InstituteACI Committee 315.5ACI2015기술표준2023
78가스안전ANSI Z21.13:2022/CSA 4.9:2022 : Gas-fired low pressure steam and hot water boilers -Canadian Standards AssociationCSA2022기술표준2023
89가스안전ANSI Z21.5.1:2022/CSA 7.1:2022 : Gas Clothes Dryers - Volume 1, Type 1 Clothes Dryers -Canadian Standards AssociationCSA2022기술표준2023
910가스안전ANSI/AWS D1.1/D1.1M:2020 : Structural Welding Code - SteelAmerican National Standards InstituteANSI2022기술표준2023
번호분야도서명저자명발행처발행년도형태입수년도
209210가스안전콘크리트 표준시방서 해설 : KCS 14 20 00 : 2021한국콘크리트학회한국콘크리트학회:기문당2022단행본2023
210211가스안전플랜트 배관 설계 = (The) process piping박철수박영사2021단행본2023
211212가스안전한국가스학회지한국가스학회한국가스학회2022단행본2023
212213가스안전한국연소학회지<NA>한국연소학회2022단행본2023
213214가스안전한국지진공학회논문집한국지진공학회한국지진공학회2022단행본2023
214215가스안전화재조사론김인태재웅플러스2023단행본2023
215216가스안전화재조사론김인태재웅플러스2023단행본2023
216217가스안전화재조사론김인태재웅플러스2023단행본2023
217218가스안전화학공학한국화학공학회한국화학공학회2021단행본2023
218219가스안전화학물질관리법 유해화학물질 취급시설 설치 및 관리 기준한국가스안전공사한국가스안전공사2021단행본2023