Overview

Dataset statistics

Number of variables7
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory62.4 B

Variable types

Numeric2
Text4
Categorical1

Dataset

Description한국산업안전보건공단 교육원에서 운영 중인 안전보건교육포털로민간안전체험 교육장 정보를 안내하고 있습니다.인정번호 사업장명 교육장명 교육장소재지 교육장연락처 이용방법 교육문의
Author한국산업안전보건공단
URLhttps://www.data.go.kr/data/15122593/fileData.do

Alerts

인정번호 has unique valuesUnique
교육장명 has unique valuesUnique
교육장소재지 has unique valuesUnique
교육장연락처 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:54:25.983548
Analysis finished2023-12-12 08:54:27.291548
Duration1.31 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

인정번호
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.333333
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T17:54:27.382851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.45
Q19.25
median16.5
Q323.75
95-th percentile29.55
Maximum31
Range30
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation9.0528461
Coefficient of variation (CV)0.55425589
Kurtosis-1.1465298
Mean16.333333
Median Absolute Deviation (MAD)7.5
Skewness-0.068610247
Sum490
Variance81.954023
MonotonicityStrictly increasing
2023-12-12T17:54:27.533026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1 1
 
3.3%
18 1
 
3.3%
31 1
 
3.3%
30 1
 
3.3%
29 1
 
3.3%
28 1
 
3.3%
27 1
 
3.3%
26 1
 
3.3%
25 1
 
3.3%
24 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1 1
3.3%
2 1
3.3%
3 1
3.3%
4 1
3.3%
5 1
3.3%
7 1
3.3%
8 1
3.3%
9 1
3.3%
10 1
3.3%
11 1
3.3%
ValueCountFrequency (%)
31 1
3.3%
30 1
3.3%
29 1
3.3%
28 1
3.3%
27 1
3.3%
26 1
3.3%
25 1
3.3%
24 1
3.3%
23 1
3.3%
22 1
3.3%
Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-12T17:54:27.821168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12.5
Mean length11.1
Min length4

Characters and Unicode

Total characters333
Distinct characters110
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)93.3%

Sample

1st row울산광역시소방본부
2nd row(주)에스앤아이코퍼레이션
3rd row한라시멘트주식회사
4th row한국서부발전(주)평택발전본부
5th row엘지디스플레이(주)
ValueCountFrequency (%)
엘지디스플레이(주 2
 
6.5%
한국수력원자력(주)한울원자력본부 1
 
3.2%
삼성엔지니어링(주 1
 
3.2%
한국가스공사당진기지건설단 1
 
3.2%
시스템코리아인증원(주 1
 
3.2%
엘지마그나이파워트레인주식회사 1
 
3.2%
한국항만연수원부산연수원 1
 
3.2%
삼성전자(주)종합기술원 1
 
3.2%
부산울산본부 1
 
3.2%
한국전력공사 1
 
3.2%
Other values (20) 20
64.5%
2023-12-12T17:54:28.295524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20
 
6.0%
14
 
4.2%
12
 
3.6%
( 12
 
3.6%
) 12
 
3.6%
11
 
3.3%
11
 
3.3%
9
 
2.7%
9
 
2.7%
8
 
2.4%
Other values (100) 215
64.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 302
90.7%
Open Punctuation 14
 
4.2%
Close Punctuation 14
 
4.2%
Uppercase Letter 2
 
0.6%
Space Separator 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
20
 
6.6%
14
 
4.6%
12
 
4.0%
11
 
3.6%
11
 
3.6%
9
 
3.0%
9
 
3.0%
8
 
2.6%
8
 
2.6%
8
 
2.6%
Other values (93) 192
63.6%
Open Punctuation
ValueCountFrequency (%)
( 12
85.7%
2
 
14.3%
Close Punctuation
ValueCountFrequency (%)
) 12
85.7%
2
 
14.3%
Uppercase Letter
ValueCountFrequency (%)
L 1
50.0%
G 1
50.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 302
90.7%
Common 29
 
8.7%
Latin 2
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
20
 
6.6%
14
 
4.6%
12
 
4.0%
11
 
3.6%
11
 
3.6%
9
 
3.0%
9
 
3.0%
8
 
2.6%
8
 
2.6%
8
 
2.6%
Other values (93) 192
63.6%
Common
ValueCountFrequency (%)
( 12
41.4%
) 12
41.4%
2
 
6.9%
2
 
6.9%
1
 
3.4%
Latin
ValueCountFrequency (%)
L 1
50.0%
G 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 302
90.7%
ASCII 27
 
8.1%
None 4
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
20
 
6.6%
14
 
4.6%
12
 
4.0%
11
 
3.6%
11
 
3.6%
9
 
3.0%
9
 
3.0%
8
 
2.6%
8
 
2.6%
8
 
2.6%
Other values (93) 192
63.6%
ASCII
ValueCountFrequency (%)
( 12
44.4%
) 12
44.4%
1
 
3.7%
L 1
 
3.7%
G 1
 
3.7%
None
ValueCountFrequency (%)
2
50.0%
2
50.0%

교육장명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-12T17:54:28.623225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length15.5
Mean length12.7
Min length6

Characters and Unicode

Total characters381
Distinct characters111
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

Unique30 ?
Unique (%)100.0%

Sample

1st row울산안전체험관
2nd row엣스퍼트 안전체험장
3rd row한라시멘트 안전교육센터
4th row한국서부발전 평택안전체험교육장
5th rowLGD 파주안전학교 체험관
ValueCountFrequency (%)
안전체험교육장 5
 
8.1%
안전체험장 2
 
3.2%
lgd 2
 
3.2%
체험관 2
 
3.2%
safety 2
 
3.2%
울산안전체험관 1
 
1.6%
academy 1
 
1.6%
산업안전교육장 1
 
1.6%
secl 1
 
1.6%
hse 1
 
1.6%
Other values (44) 44
71.0%
2023-12-12T17:54:29.169535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32
 
8.4%
28
 
7.3%
25
 
6.6%
23
 
6.0%
23
 
6.0%
18
 
4.7%
14
 
3.7%
11
 
2.9%
10
 
2.6%
S 8
 
2.1%
Other values (101) 189
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 253
66.4%
Lowercase Letter 46
 
12.1%
Uppercase Letter 45
 
11.8%
Space Separator 32
 
8.4%
Open Punctuation 2
 
0.5%
Close Punctuation 2
 
0.5%
Math Symbol 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
28
 
11.1%
25
 
9.9%
23
 
9.1%
23
 
9.1%
18
 
7.1%
14
 
5.5%
11
 
4.3%
10
 
4.0%
5
 
2.0%
4
 
1.6%
Other values (63) 92
36.4%
Lowercase Letter
ValueCountFrequency (%)
e 7
15.2%
a 5
10.9%
n 4
8.7%
t 4
8.7%
r 4
8.7%
y 4
8.7%
i 3
 
6.5%
d 2
 
4.3%
c 2
 
4.3%
g 2
 
4.3%
Other values (8) 9
19.6%
Uppercase Letter
ValueCountFrequency (%)
S 8
17.8%
G 6
13.3%
L 5
11.1%
E 4
8.9%
C 3
 
6.7%
A 3
 
6.7%
H 2
 
4.4%
K 2
 
4.4%
P 2
 
4.4%
O 2
 
4.4%
Other values (6) 8
17.8%
Space Separator
ValueCountFrequency (%)
32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 253
66.4%
Latin 91
 
23.9%
Common 37
 
9.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
28
 
11.1%
25
 
9.9%
23
 
9.1%
23
 
9.1%
18
 
7.1%
14
 
5.5%
11
 
4.3%
10
 
4.0%
5
 
2.0%
4
 
1.6%
Other values (63) 92
36.4%
Latin
ValueCountFrequency (%)
S 8
 
8.8%
e 7
 
7.7%
G 6
 
6.6%
a 5
 
5.5%
L 5
 
5.5%
n 4
 
4.4%
E 4
 
4.4%
t 4
 
4.4%
r 4
 
4.4%
y 4
 
4.4%
Other values (24) 40
44.0%
Common
ValueCountFrequency (%)
32
86.5%
( 2
 
5.4%
) 2
 
5.4%
+ 1
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 253
66.4%
ASCII 128
33.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32
25.0%
S 8
 
6.2%
e 7
 
5.5%
G 6
 
4.7%
a 5
 
3.9%
L 5
 
3.9%
n 4
 
3.1%
E 4
 
3.1%
t 4
 
3.1%
r 4
 
3.1%
Other values (28) 49
38.3%
Hangul
ValueCountFrequency (%)
28
 
11.1%
25
 
9.9%
23
 
9.1%
23
 
9.1%
18
 
7.1%
14
 
5.5%
11
 
4.3%
10
 
4.0%
5
 
2.0%
4
 
1.6%
Other values (63) 92
36.4%

교육장소재지
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-12T17:54:29.614414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length38
Mean length33.766667
Min length18

Characters and Unicode

Total characters1013
Distinct characters172
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

Unique30 ?
Unique (%)100.0%

Sample

1st row울산 남구 중앙로 201 (신정동, 울산광역시청)
2nd row서울 마포구 마포대로 155 (공덕동, LG마포빌딩) 6층
3rd row강원 강릉시 옥계면 산계길 225
4th row경기 평택시 포승읍 남양만로 175-2
5th row경기 파주시 월롱면 덕은리 1007번지(엘지로 245, LG 디스플레이 파주공장 내)
ValueCountFrequency (%)
경기 8
 
3.7%
서울 4
 
1.9%
대전 3
 
1.4%
3
 
1.4%
석문면 3
 
1.4%
삼성로 3
 
1.4%
경기도 3
 
1.4%
유성구 2
 
0.9%
경북 2
 
0.9%
부산 2
 
0.9%
Other values (168) 182
84.7%
2023-12-12T17:54:30.438065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
185
 
18.3%
30
 
3.0%
1 27
 
2.7%
26
 
2.6%
) 23
 
2.3%
2 23
 
2.3%
( 23
 
2.3%
21
 
2.1%
20
 
2.0%
18
 
1.8%
Other values (162) 617
60.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 615
60.7%
Space Separator 185
 
18.3%
Decimal Number 130
 
12.8%
Close Punctuation 23
 
2.3%
Open Punctuation 23
 
2.3%
Other Punctuation 15
 
1.5%
Uppercase Letter 14
 
1.4%
Dash Punctuation 6
 
0.6%
Lowercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
30
 
4.9%
26
 
4.2%
21
 
3.4%
20
 
3.3%
18
 
2.9%
16
 
2.6%
16
 
2.6%
15
 
2.4%
13
 
2.1%
12
 
2.0%
Other values (137) 428
69.6%
Decimal Number
ValueCountFrequency (%)
1 27
20.8%
2 23
17.7%
6 15
11.5%
5 14
10.8%
0 14
10.8%
3 11
8.5%
8 7
 
5.4%
9 7
 
5.4%
4 6
 
4.6%
7 6
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
G 5
35.7%
L 3
21.4%
C 2
 
14.3%
S 1
 
7.1%
E 1
 
7.1%
R 1
 
7.1%
H 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 14
93.3%
: 1
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
t 1
50.0%
k 1
50.0%
Space Separator
ValueCountFrequency (%)
185
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 615
60.7%
Common 382
37.7%
Latin 16
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
30
 
4.9%
26
 
4.2%
21
 
3.4%
20
 
3.3%
18
 
2.9%
16
 
2.6%
16
 
2.6%
15
 
2.4%
13
 
2.1%
12
 
2.0%
Other values (137) 428
69.6%
Common
ValueCountFrequency (%)
185
48.4%
1 27
 
7.1%
) 23
 
6.0%
2 23
 
6.0%
( 23
 
6.0%
6 15
 
3.9%
, 14
 
3.7%
5 14
 
3.7%
0 14
 
3.7%
3 11
 
2.9%
Other values (6) 33
 
8.6%
Latin
ValueCountFrequency (%)
G 5
31.2%
L 3
18.8%
C 2
 
12.5%
S 1
 
6.2%
E 1
 
6.2%
t 1
 
6.2%
k 1
 
6.2%
R 1
 
6.2%
H 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 615
60.7%
ASCII 398
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
185
46.5%
1 27
 
6.8%
) 23
 
5.8%
2 23
 
5.8%
( 23
 
5.8%
6 15
 
3.8%
, 14
 
3.5%
5 14
 
3.5%
0 14
 
3.5%
3 11
 
2.8%
Other values (15) 49
 
12.3%
Hangul
ValueCountFrequency (%)
30
 
4.9%
26
 
4.2%
21
 
3.4%
20
 
3.3%
18
 
2.9%
16
 
2.6%
16
 
2.6%
15
 
2.4%
13
 
2.1%
12
 
2.0%
Other values (137) 428
69.6%

교육장연락처
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0147525 × 109
Minimum28389002
Maximum7.077131 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T17:54:30.573543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum28389002
5-th percentile2.2051859 × 108
Q13.2130595 × 108
median5.1661308 × 108
Q33.1805946 × 109
95-th percentile7.0707637 × 109
Maximum7.077131 × 109
Range7.048742 × 109
Interquartile range (IQR)2.8592886 × 109

Descriptive statistics

Standard deviation2.7042665 × 109
Coefficient of variation (CV)1.3422326
Kurtosis-0.12478574
Mean2.0147525 × 109
Median Absolute Deviation (MAD)2.2554973 × 108
Skewness1.2791638
Sum6.0442576 × 1010
Variance7.3130574 × 1018
MonotonicityNot monotonic
2023-12-12T17:54:30.678626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
522796588 1
 
3.3%
220534740 1
 
3.3%
7050002765 1
 
3.3%
413595523 1
 
3.3%
28389002 1
 
3.3%
327231814 1
 
3.3%
517180814 1
 
3.3%
3180611699 1
 
3.3%
516045347 1
 
3.3%
313294804 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
28389002 1
3.3%
220505373 1
3.3%
220534740 1
3.3%
221630926 1
3.3%
269245695 1
3.3%
312881004 1
3.3%
313294804 1
3.3%
319330668 1
3.3%
327231814 1
3.3%
335301752 1
3.3%
ValueCountFrequency (%)
7077131046 1
3.3%
7071109879 1
3.3%
7070340579 1
3.3%
7050075041 1
3.3%
7050073115 1
3.3%
7050002765 1
3.3%
3180772641 1
3.3%
3180611699 1
3.3%
3180543273 1
3.3%
1084412339 1
3.3%

이용방법
Categorical

Distinct8
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
유선
12 
홈페이지
전자메일
유선,팩스
홈페이지,전자메일
Other values (3)

Length

Max length12
Median length9
Mean length4.1666667
Min length2

Unique

Unique2 ?
Unique (%)6.7%

Sample

1st row홈페이지
2nd row홈페이지
3rd row유선,팩스
4th row홈페이지
5th row전자메일

Common Values

ValueCountFrequency (%)
유선 12
40.0%
홈페이지 6
20.0%
전자메일 4
 
13.3%
유선,팩스 2
 
6.7%
홈페이지,전자메일 2
 
6.7%
팩스,전자메일 2
 
6.7%
홈페이지,유선,전자메일 1
 
3.3%
홈페이지,유선 1
 
3.3%

Length

2023-12-12T17:54:30.803167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:54:30.939630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유선 12
40.0%
홈페이지 6
20.0%
전자메일 4
 
13.3%
유선,팩스 2
 
6.7%
홈페이지,전자메일 2
 
6.7%
팩스,전자메일 2
 
6.7%
홈페이지,유선,전자메일 1
 
3.3%
홈페이지,유선 1
 
3.3%
Distinct21
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-12T17:54:31.227448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length42
Mean length24.033333
Min length4

Characters and Unicode

Total characters721
Distinct characters134
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

Unique19 ?
Unique (%)63.3%

Sample

1st rowhttp://fire.ulsan.go.kr/safety
2nd rowhttp://forms.gle/cFDtrbLcSqVKkjR47
3rd rowFAX. 033-530-1987
4th rowhttp://www.iwest.co.kr>소통광장>안전체험장신청
5th rowosj407@lgdisplay.com
ValueCountFrequency (%)
유선문의 12
 
15.6%
5
 
6.5%
4
 
5.2%
24년 2
 
2.6%
2
 
2.6%
http://www.iwest.co.kr>소통광장>안전체험장신청 2
 
2.6%
이메일 2
 
2.6%
하반기 2
 
2.6%
hj7952.park@samsung.com(박승주 1
 
1.3%
harin.han@samsung.com(한하린 1
 
1.3%
Other values (44) 44
57.1%
2023-12-12T17:54:31.726329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
47
 
6.5%
. 37
 
5.1%
g 22
 
3.1%
o 22
 
3.1%
s 21
 
2.9%
t 20
 
2.8%
r 20
 
2.8%
n 20
 
2.8%
a 17
 
2.4%
k 17
 
2.4%
Other values (124) 478
66.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 305
42.3%
Other Letter 210
29.1%
Other Punctuation 73
 
10.1%
Space Separator 47
 
6.5%
Decimal Number 47
 
6.5%
Uppercase Letter 11
 
1.5%
Close Punctuation 9
 
1.2%
Open Punctuation 9
 
1.2%
Dash Punctuation 6
 
0.8%
Math Symbol 4
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
14
 
6.7%
14
 
6.7%
14
 
6.7%
14
 
6.7%
8
 
3.8%
7
 
3.3%
6
 
2.9%
5
 
2.4%
5
 
2.4%
5
 
2.4%
Other values (68) 118
56.2%
Lowercase Letter
ValueCountFrequency (%)
g 22
 
7.2%
o 22
 
7.2%
s 21
 
6.9%
t 20
 
6.6%
r 20
 
6.6%
n 20
 
6.6%
a 17
 
5.6%
k 17
 
5.6%
e 17
 
5.6%
c 16
 
5.2%
Other values (15) 113
37.0%
Decimal Number
ValueCountFrequency (%)
7 9
19.1%
0 8
17.0%
9 6
12.8%
2 5
10.6%
4 4
8.5%
3 4
8.5%
8 4
8.5%
5 3
 
6.4%
1 3
 
6.4%
6 1
 
2.1%
Uppercase Letter
ValueCountFrequency (%)
F 3
27.3%
A 1
 
9.1%
X 1
 
9.1%
D 1
 
9.1%
L 1
 
9.1%
S 1
 
9.1%
V 1
 
9.1%
K 1
 
9.1%
R 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
. 37
50.7%
/ 13
 
17.8%
@ 11
 
15.1%
: 5
 
6.8%
, 3
 
4.1%
' 2
 
2.7%
* 2
 
2.7%
Space Separator
ValueCountFrequency (%)
47
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Math Symbol
ValueCountFrequency (%)
> 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 316
43.8%
Hangul 210
29.1%
Common 195
27.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
14
 
6.7%
14
 
6.7%
14
 
6.7%
14
 
6.7%
8
 
3.8%
7
 
3.3%
6
 
2.9%
5
 
2.4%
5
 
2.4%
5
 
2.4%
Other values (68) 118
56.2%
Latin
ValueCountFrequency (%)
g 22
 
7.0%
o 22
 
7.0%
s 21
 
6.6%
t 20
 
6.3%
r 20
 
6.3%
n 20
 
6.3%
a 17
 
5.4%
k 17
 
5.4%
e 17
 
5.4%
c 16
 
5.1%
Other values (24) 124
39.2%
Common
ValueCountFrequency (%)
47
24.1%
. 37
19.0%
/ 13
 
6.7%
@ 11
 
5.6%
) 9
 
4.6%
( 9
 
4.6%
7 9
 
4.6%
0 8
 
4.1%
9 6
 
3.1%
- 6
 
3.1%
Other values (12) 40
20.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 511
70.9%
Hangul 210
29.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
47
 
9.2%
. 37
 
7.2%
g 22
 
4.3%
o 22
 
4.3%
s 21
 
4.1%
t 20
 
3.9%
r 20
 
3.9%
n 20
 
3.9%
a 17
 
3.3%
k 17
 
3.3%
Other values (46) 268
52.4%
Hangul
ValueCountFrequency (%)
14
 
6.7%
14
 
6.7%
14
 
6.7%
14
 
6.7%
8
 
3.8%
7
 
3.3%
6
 
2.9%
5
 
2.4%
5
 
2.4%
5
 
2.4%
Other values (68) 118
56.2%

Interactions

2023-12-12T17:54:26.782808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:54:26.536997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:54:26.898628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:54:26.653912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:54:31.885216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인정번호사업장명교육장명교육장소재지교육장연락처이용방법교육문의
인정번호1.0000.8771.0001.0000.0000.2830.657
사업장명0.8771.0001.0001.0001.0001.0000.909
교육장명1.0001.0001.0001.0001.0001.0001.000
교육장소재지1.0001.0001.0001.0001.0001.0001.000
교육장연락처0.0001.0001.0001.0001.0000.1780.978
이용방법0.2831.0001.0001.0000.1781.0001.000
교육문의0.6570.9091.0001.0000.9781.0001.000
2023-12-12T17:54:32.033920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인정번호교육장연락처이용방법
인정번호1.000-0.1030.273
교육장연락처-0.1031.0000.106
이용방법0.2730.1061.000

Missing values

2023-12-12T17:54:27.080728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:54:27.233188image/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

인정번호사업장명교육장명교육장소재지교육장연락처이용방법교육문의
01울산광역시소방본부울산안전체험관울산 남구 중앙로 201 (신정동, 울산광역시청)522796588홈페이지http://fire.ulsan.go.kr/safety
12(주)에스앤아이코퍼레이션엣스퍼트 안전체험장서울 마포구 마포대로 155 (공덕동, LG마포빌딩) 6층269245695홈페이지http://forms.gle/cFDtrbLcSqVKkjR47
23한라시멘트주식회사한라시멘트 안전교육센터강원 강릉시 옥계면 산계길 225335301752유선,팩스FAX. 033-530-1987
34한국서부발전(주)평택발전본부한국서부발전 평택안전체험교육장경기 평택시 포승읍 남양만로 175-27050075041홈페이지http://www.iwest.co.kr>소통광장>안전체험장신청
45엘지디스플레이(주)LGD 파주안전학교 체험관경기 파주시 월롱면 덕은리 1007번지(엘지로 245, LG 디스플레이 파주공장 내)319330668전자메일osj407@lgdisplay.com
57한국안전체험교육원협동조합안전체험교육장경기 화성시 송산면 지화리 169-88번지3180772641유선,팩스Fax.031-8077-2651
68대전기술연구원LG U+ 안전체험관대전 유성구 과학로 80-17 기술연구원 (가정동)1084412339전자메일nwsafety@lguplus.co.kr, dankim79@lguplus.co.kr
79케이티서비스남부kt service 남부 안전 체험교육관대전 서구 갈마로 160 본관5층 (괴정동, kt인재개발원)424793253홈페이지,전자메일홈페이지(hrd.ktservice.net)문의 후 전자메일 제출(hrd@ktservice.net)
810한국서부발전주식회사태안발전본부종합안전체험교육장충남 태안군 원북면 발전로 457 (방갈리831) 한국서부발전(주) 태안발전본부7050073115홈페이지http://www.iwest.co.kr>소통광장>안전체험장신청
911LG전자(주)평택공장생산기술원 안전체험장경기 평택시 진위면 엘지로 222 청로치 19-1 앨자존자 생산기술원3180543273전자메일seungwon.jung@ldg.com
인정번호사업장명교육장명교육장소재지교육장연락처이용방법교육문의
2022삼성물산(주)Safety Academy서울 강동구 상일로6길 26 안전체험교육장 : 경기도 용인시 기흥구 동백중앙로 16번길 177071109879유선유선문의
2123에이치디현대중공업주식회사미포공장현대중공업 안전체험교육장울산 동구 방어진순환도로 100 (방어동, 현대미포조선 내)522025415유선유선문의
2224지에스건설(주)GS건설 안전혁신학교경기도 용인시 처인구 이동읍 덕성산단2로6번길 29 GS건설 안전혁신학교313294804유선유선문의
2325한국전력공사 부산울산본부KEPCO안전체험교육센터부산 부산진구 중앙대로666번길 43 한국전력공사 부산울산본부516045347유선유선문의
2426삼성전자(주)종합기술원SAIT Safety Playground경기 수원시 영통구 삼성로 130 삼성미래기술캠퍼스3180611699홈페이지,전자메일전자메일/유선 * hj7952.park@samsung.com(박승주) * harin.han@samsung.com(한하린)
2527한국항만연수원부산연수원항만안전체험관부산 남구 신선로356번길 251 (용당동, 한국항만연수원부산연수원)517180814유선유선문의
2628엘지마그나이파워트레인주식회사LG마그나 안전체험교육장인천 서구 경명대로 322 (경서동, 엘지전자 인천캠퍼스)327231814홈페이지,유선유선문의 혹은 전자메일(eunkyung98.park@lgmagna.com, frontier.kim@lgmagna.com)
2729시스템코리아인증원(주)공정안전체험교육원전남 여수시 삼동2길 13 (주삼동) 공정안전체험교육원28389002팩스,전자메일팩스(02-897-9007) 및 전자메일(kojingyu@sok.or.kr)
2830한국가스공사당진기지건설단KOGAS 안전체험교육장충청남도 당진시 석문면 산단8로 60 (석문면)413595523유선유선신청 후 공문 또는 이메일 서면 신청서 제출
2931한국동서발전(주)당진화력본부당진발전본부 체험식안전교육장충남 당진시 석문면 교로길 30 (경비실)7050002765유선본부 및 협력사 교육수요 후 '24년 하반기 외부 인원 수요 예정