Overview

Dataset statistics

Number of variables12
Number of observations36
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.5 KiB
Average record size in memory100.7 B

Variable types

Numeric1
Categorical3
Text6
DateTime2

Dataset

Description산업안전보건법 제33조에 따라 고용노동부장관에게 등록한 직무교육 위탁교육기관과 발급번호, 주소명 등 현황정보 제공
Author고용노동부
URLhttps://www.data.go.kr/data/15002419/fileData.do

Alerts

기관종류 has constant value ""Constant
지정유형 is highly imbalanced (81.7%)Imbalance
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:38:50.848406
Analysis finished2023-12-12 13:38:51.777339
Duration0.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.5
Minimum1
Maximum36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-12T22:38:52.191242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.75
Q19.75
median18.5
Q327.25
95-th percentile34.25
Maximum36
Range35
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation10.535654
Coefficient of variation (CV)0.5694948
Kurtosis-1.2
Mean18.5
Median Absolute Deviation (MAD)9
Skewness0
Sum666
Variance111
MonotonicityStrictly increasing
2023-12-12T22:38:52.359704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
1 1
 
2.8%
20 1
 
2.8%
22 1
 
2.8%
23 1
 
2.8%
24 1
 
2.8%
25 1
 
2.8%
26 1
 
2.8%
27 1
 
2.8%
28 1
 
2.8%
29 1
 
2.8%
Other values (26) 26
72.2%
ValueCountFrequency (%)
1 1
2.8%
2 1
2.8%
3 1
2.8%
4 1
2.8%
5 1
2.8%
6 1
2.8%
7 1
2.8%
8 1
2.8%
9 1
2.8%
10 1
2.8%
ValueCountFrequency (%)
36 1
2.8%
35 1
2.8%
34 1
2.8%
33 1
2.8%
32 1
2.8%
31 1
2.8%
30 1
2.8%
29 1
2.8%
28 1
2.8%
27 1
2.8%

기관종류
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
직무교육기관
36 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
직무교육기관 36
100.0%

Length

2023-12-12T22:38:52.532240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:38:52.639001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
직무교육기관 36
100.0%

기관명
Text

Distinct34
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-12T22:38:52.881056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length13.444444
Min length6

Characters and Unicode

Total characters484
Distinct characters71
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)88.9%

Sample

1st row(사)대한산업보건협회대구경북지역본부
2nd row(사)대한산업보건협회부산경남지역본부
3rd row(사)대한산업안전협회
4th row(사)대한산업안전협회광주지역본부
5th row(사)대한산업안전협회대구지역본부
ValueCountFrequency (%)
사단법인대한안전문화협회 2
 
5.6%
사단법인)한국건설안전기술사회 2
 
5.6%
사단법인한국안전기술협회 1
 
2.8%
한국건설안전기술사회 1
 
2.8%
전남대학교산학협력단 1
 
2.8%
재단법인환경안전교육원 1
 
2.8%
사단법인환경안전기술원 1
 
2.8%
사단법인한국화학안전협회 1
 
2.8%
사단법인한국안전보건협회 1
 
2.8%
사단법인한국안전교육기술원 1
 
2.8%
Other values (24) 24
66.7%
2023-12-12T22:38:53.360646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 34
 
7.0%
회 31
 
6.4%
전 30
 
6.2%
안 28
 
5.8%
한 27
 
5.6%
협 27
 
5.6%
단 22
 
4.5%
인 21
 
4.3%
법 20
 
4.1%
대 18
 
3.7%
Other values (61) 226
46.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 456
94.2%
Close Punctuation 14
 
2.9%
Open Punctuation 14
 
2.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 34
 
7.5%
회 31
 
6.8%
전 30
 
6.6%
안 28
 
6.1%
한 27
 
5.9%
협 27
 
5.9%
단 22
 
4.8%
인 21
 
4.6%
법 20
 
4.4%
대 18
 
3.9%
Other values (59) 198
43.4%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 456
94.2%
Common 28
 
5.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 34
 
7.5%
회 31
 
6.8%
전 30
 
6.6%
안 28
 
6.1%
한 27
 
5.9%
협 27
 
5.9%
단 22
 
4.8%
인 21
 
4.6%
법 20
 
4.4%
대 18
 
3.9%
Other values (59) 198
43.4%
Common
ValueCountFrequency (%)
) 14
50.0%
( 14
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 456
94.2%
ASCII 28
 
5.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 34
 
7.5%
회 31
 
6.8%
전 30
 
6.6%
안 28
 
6.1%
한 27
 
5.9%
협 27
 
5.9%
단 22
 
4.8%
인 21
 
4.6%
법 20
 
4.4%
대 18
 
3.9%
Other values (59) 198
43.4%
ASCII
ValueCountFrequency (%)
) 14
50.0%
( 14
50.0%

지정유형
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
등록
35 
최초
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
등록 35
97.2%
최초 1
 
2.8%

Length

2023-12-12T22:38:53.511078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:38:53.610248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
등록 35
97.2%
최초 1
 
2.8%

최초지정일자
Date

Distinct35
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size420.0 B
Minimum2016-12-26 00:00:00
Maximum2023-03-24 00:00:00
2023-12-12T22:38:53.712156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:38:53.839756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)

최초지정서발급번호
Text

Distinct25
Distinct (%)69.4%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-12T22:38:54.040298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters396
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)44.4%

Sample

1st row2020-190002
2nd row2020-190001
3rd row2016-190001
4th row2020-190001
5th row2020-190003
ValueCountFrequency (%)
2020-190003 3
 
8.3%
2020-190001 3
 
8.3%
2020-190002 2
 
5.6%
2016-190001 2
 
5.6%
2021-190001 2
 
5.6%
2017-190001 2
 
5.6%
2020-190004 2
 
5.6%
2023-190002 2
 
5.6%
2022-190002 2
 
5.6%
2021-190003 1
 
2.8%
Other values (15) 15
41.7%
2023-12-12T22:38:54.366747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 155
39.1%
2 71
17.9%
1 65
16.4%
9 40
 
10.1%
- 36
 
9.1%
3 9
 
2.3%
7 9
 
2.3%
6 4
 
1.0%
4 4
 
1.0%
5 2
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 360
90.9%
Dash Punctuation 36
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 155
43.1%
2 71
19.7%
1 65
18.1%
9 40
 
11.1%
3 9
 
2.5%
7 9
 
2.5%
6 4
 
1.1%
4 4
 
1.1%
5 2
 
0.6%
8 1
 
0.3%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 396
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 155
39.1%
2 71
17.9%
1 65
16.4%
9 40
 
10.1%
- 36
 
9.1%
3 9
 
2.3%
7 9
 
2.3%
6 4
 
1.0%
4 4
 
1.0%
5 2
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 396
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 155
39.1%
2 71
17.9%
1 65
16.4%
9 40
 
10.1%
- 36
 
9.1%
3 9
 
2.3%
7 9
 
2.3%
6 4
 
1.0%
4 4
 
1.0%
5 2
 
0.5%

최근변경일자
Date

Distinct34
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size420.0 B
Minimum2019-11-01 00:00:00
Maximum2023-09-07 00:00:00
2023-12-12T22:38:54.483432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:38:54.612733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)

최근지정서발급번호
Text

Distinct19
Distinct (%)52.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-12T22:38:54.819327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters396
Distinct characters10
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)30.6%

Sample

1st row2023-190001
2nd row2020-190007
3rd row2021-190004
4th row2023-190001
5th row2023-190002
ValueCountFrequency (%)
2023-190001 6
16.7%
2023-190002 5
13.9%
2020-190007 3
 
8.3%
2022-190001 3
 
8.3%
2022-190003 2
 
5.6%
2021-190001 2
 
5.6%
2021-190003 2
 
5.6%
2022-190005 2
 
5.6%
2020-190008 1
 
2.8%
2020-190009 1
 
2.8%
Other values (9) 9
25.0%
2023-12-12T22:38:55.144180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 152
38.4%
2 86
21.7%
1 55
 
13.9%
9 38
 
9.6%
- 36
 
9.1%
3 19
 
4.8%
5 4
 
1.0%
7 3
 
0.8%
4 2
 
0.5%
8 1
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 360
90.9%
Dash Punctuation 36
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 152
42.2%
2 86
23.9%
1 55
 
15.3%
9 38
 
10.6%
3 19
 
5.3%
5 4
 
1.1%
7 3
 
0.8%
4 2
 
0.6%
8 1
 
0.3%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 396
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 152
38.4%
2 86
21.7%
1 55
 
13.9%
9 38
 
9.6%
- 36
 
9.1%
3 19
 
4.8%
5 4
 
1.0%
7 3
 
0.8%
4 2
 
0.5%
8 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 396
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 152
38.4%
2 86
21.7%
1 55
 
13.9%
9 38
 
9.6%
- 36
 
9.1%
3 19
 
4.8%
5 4
 
1.0%
7 3
 
0.8%
4 2
 
0.5%
8 1
 
0.3%

직무교육종류
Text

Distinct22
Distinct (%)61.1%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-12T22:38:55.384300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length53
Mean length33.333333
Min length9

Characters and Unicode

Total characters1200
Distinct characters42
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)44.4%

Sample

1st row보건관리자(산업보건일반,산업위생,산업간호,작업환경의학)
2nd row보건관리자(산업보건일반,산업위생,산업간호,작업환경의학)
3rd row안전보건관리책임자,안전관리자(산업안전일반,제조,건설,기타산업)
4th row안전보건관리책임자,안전관리자(산업안전일반,제조,건설,기타산업),안전보건관리담당자
5th row안전보건관리책임자,안전관리자(산업안전일반,제조,건설,기타산업),안전보건관리담당자
ValueCountFrequency (%)
안전보건관리책임자,안전관리자(산업안전일반,제조,건설,기타산업),안전보건관리담당자 6
 
13.3%
종사자 5
 
11.1%
안전보건관리책임자,안전보건관리담당자 4
 
8.9%
안전관리자(산업안전일반,제조,건설,기타산업 3
 
6.7%
보건관리자(산업보건일반,산업위생,산업간호,작업환경의학 3
 
6.7%
안전보건관리책임자,안전관리자(산업안전일반,제조,건설,기타산업),보건관리자(산업보건일반,산업위생,산업간호,작업환경의학),안전보건관리담당자 2
 
4.4%
안전보건관리책임자,안전관리자(건설 2
 
4.4%
종사자,안전관리전문기관의 2
 
4.4%
종사자,안전보건관리담당자 2
 
4.4%
안전보건관리책임자,안전관리자(산업안전일반,제조 1
 
2.2%
Other values (15) 15
33.3%
2023-12-12T22:38:55.764795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 117
 
9.8%
전 90
 
7.5%
관 83
 
6.9%
안 82
 
6.8%
자 79
 
6.6%
건 77
 
6.4%
리 75
 
6.2%
업 64
 
5.3%
산 57
 
4.8%
보 56
 
4.7%
Other values (32) 420
35.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1010
84.2%
Other Punctuation 117
 
9.8%
Open Punctuation 32
 
2.7%
Close Punctuation 32
 
2.7%
Space Separator 9
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 90
 
8.9%
관 83
 
8.2%
안 82
 
8.1%
자 79
 
7.8%
건 77
 
7.6%
리 75
 
7.4%
업 64
 
6.3%
산 57
 
5.6%
보 56
 
5.5%
반 25
 
2.5%
Other values (28) 322
31.9%
Other Punctuation
ValueCountFrequency (%)
, 117
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1010
84.2%
Common 190
 
15.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 90
 
8.9%
관 83
 
8.2%
안 82
 
8.1%
자 79
 
7.8%
건 77
 
7.6%
리 75
 
7.4%
업 64
 
6.3%
산 57
 
5.6%
보 56
 
5.5%
반 25
 
2.5%
Other values (28) 322
31.9%
Common
ValueCountFrequency (%)
, 117
61.6%
( 32
 
16.8%
) 32
 
16.8%
9
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1010
84.2%
ASCII 190
 
15.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 117
61.6%
( 32
 
16.8%
) 32
 
16.8%
9
 
4.7%
Hangul
ValueCountFrequency (%)
전 90
 
8.9%
관 83
 
8.2%
안 82
 
8.1%
자 79
 
7.8%
건 77
 
7.6%
리 75
 
7.4%
업 64
 
6.3%
산 57
 
5.6%
보 56
 
5.5%
반 25
 
2.5%
Other values (28) 322
31.9%

주소명
Text

Distinct34
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-12T22:38:56.114307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length78
Median length44
Mean length39.583333
Min length22

Characters and Unicode

Total characters1425
Distinct characters179
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

Unique32 ?
Unique (%)88.9%

Sample

1st row대구 달서구 성서공단로15길 40 (호림동) (19-15번지)
2nd row부산 금정구 중앙대로 2139 (청룡동) (80-4)
3rd row서울 구로구 공원로 70 (구로동) (23-1번지)
4th row광주 광산구 무진대로 270 (우산동,2층)
5th row대구 수성구 화랑로 150 4층 (만촌동, 동원빌딩) (1331-1번지 동원빌딩 4층)
ValueCountFrequency (%)
서울특별시 7
 
2.6%
북구 6
 
2.3%
4층 5
 
1.9%
2층 5
 
1.9%
서울 5
 
1.9%
금천구 4
 
1.5%
광주광역시 3
 
1.1%
경기도 3
 
1.1%
광주 3
 
1.1%
76 3
 
1.1%
Other values (183) 222
83.5%
2023-12-12T22:38:56.781016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
242
 
17.0%
) 54
 
3.8%
( 54
 
3.8%
1 50
 
3.5%
2 44
 
3.1%
동 43
 
3.0%
구 37
 
2.6%
로 36
 
2.5%
3 35
 
2.5%
0 31
 
2.2%
Other values (169) 799
56.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 728
51.1%
Decimal Number 288
 
20.2%
Space Separator 242
 
17.0%
Close Punctuation 54
 
3.8%
Open Punctuation 54
 
3.8%
Other Punctuation 22
 
1.5%
Dash Punctuation 18
 
1.3%
Uppercase Letter 18
 
1.3%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 43
 
5.9%
구 37
 
5.1%
로 36
 
4.9%
산 27
 
3.7%
시 24
 
3.3%
서 23
 
3.2%
지 23
 
3.2%
층 21
 
2.9%
번 19
 
2.6%
호 17
 
2.3%
Other values (146) 458
62.9%
Decimal Number
ValueCountFrequency (%)
1 50
17.4%
2 44
15.3%
3 35
12.2%
0 31
10.8%
7 27
9.4%
5 24
8.3%
8 20
 
6.9%
4 20
 
6.9%
9 19
 
6.6%
6 18
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
T 4
22.2%
A 4
22.2%
D 3
16.7%
K 2
11.1%
R 2
11.1%
B 2
11.1%
W 1
 
5.6%
Space Separator
ValueCountFrequency (%)
242
100.0%
Close Punctuation
ValueCountFrequency (%)
) 54
100.0%
Open Punctuation
ValueCountFrequency (%)
( 54
100.0%
Other Punctuation
ValueCountFrequency (%)
, 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 728
51.1%
Common 679
47.6%
Latin 18
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 43
 
5.9%
구 37
 
5.1%
로 36
 
4.9%
산 27
 
3.7%
시 24
 
3.3%
서 23
 
3.2%
지 23
 
3.2%
층 21
 
2.9%
번 19
 
2.6%
호 17
 
2.3%
Other values (146) 458
62.9%
Common
ValueCountFrequency (%)
242
35.6%
) 54
 
8.0%
( 54
 
8.0%
1 50
 
7.4%
2 44
 
6.5%
3 35
 
5.2%
0 31
 
4.6%
7 27
 
4.0%
5 24
 
3.5%
, 22
 
3.2%
Other values (6) 96
 
14.1%
Latin
ValueCountFrequency (%)
T 4
22.2%
A 4
22.2%
D 3
16.7%
K 2
11.1%
R 2
11.1%
B 2
11.1%
W 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 728
51.1%
ASCII 697
48.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
242
34.7%
) 54
 
7.7%
( 54
 
7.7%
1 50
 
7.2%
2 44
 
6.3%
3 35
 
5.0%
0 31
 
4.4%
7 27
 
3.9%
5 24
 
3.4%
, 22
 
3.2%
Other values (13) 114
16.4%
Hangul
ValueCountFrequency (%)
동 43
 
5.9%
구 37
 
5.1%
로 36
 
4.9%
산 27
 
3.7%
시 24
 
3.3%
서 23
 
3.2%
지 23
 
3.2%
층 21
 
2.9%
번 19
 
2.6%
호 17
 
2.3%
Other values (146) 458
62.9%

전화번호
Text

Distinct32
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-12T22:38:57.044683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.694444
Min length8

Characters and Unicode

Total characters421
Distinct characters19
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)80.6%

Sample

1st row053-592-4901
2nd row051-508-6088
3rd row02-860-7000
4th row062-943-0156
5th row053-710-3101
ValueCountFrequency (%)
개인정보노출제한 3
 
8.3%
070-4355-4707 2
 
5.6%
02-3453-8694 2
 
5.6%
032-773-4695 1
 
2.8%
062-530-1186 1
 
2.8%
051-971-0102 1
 
2.8%
032-715-8134 1
 
2.8%
031-410-2992 1
 
2.8%
053-592-4901 1
 
2.8%
031-431-3122 1
 
2.8%
Other values (22) 22
61.1%
2023-12-12T22:38:57.466143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 77
18.3%
- 66
15.7%
2 42
10.0%
3 35
8.3%
4 32
7.6%
1 32
7.6%
5 28
 
6.7%
6 28
 
6.7%
7 22
 
5.2%
8 19
 
4.5%
Other values (9) 40
9.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 331
78.6%
Dash Punctuation 66
 
15.7%
Other Letter 24
 
5.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 77
23.3%
2 42
12.7%
3 35
10.6%
4 32
9.7%
1 32
9.7%
5 28
 
8.5%
6 28
 
8.5%
7 22
 
6.6%
8 19
 
5.7%
9 16
 
4.8%
Other Letter
ValueCountFrequency (%)
제 3
12.5%
한 3
12.5%
출 3
12.5%
인 3
12.5%
노 3
12.5%
보 3
12.5%
정 3
12.5%
개 3
12.5%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 397
94.3%
Hangul 24
 
5.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 77
19.4%
- 66
16.6%
2 42
10.6%
3 35
8.8%
4 32
8.1%
1 32
8.1%
5 28
 
7.1%
6 28
 
7.1%
7 22
 
5.5%
8 19
 
4.8%
Hangul
ValueCountFrequency (%)
제 3
12.5%
한 3
12.5%
출 3
12.5%
인 3
12.5%
노 3
12.5%
보 3
12.5%
정 3
12.5%
개 3
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 397
94.3%
Hangul 24
 
5.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 77
19.4%
- 66
16.6%
2 42
10.6%
3 35
8.8%
4 32
8.1%
1 32
8.1%
5 28
 
7.1%
6 28
 
7.1%
7 22
 
5.5%
8 19
 
4.8%
Hangul
ValueCountFrequency (%)
제 3
12.5%
한 3
12.5%
출 3
12.5%
인 3
12.5%
노 3
12.5%
보 3
12.5%
정 3
12.5%
개 3
12.5%

지정관서
Categorical

Distinct6
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size420.0 B
서 울 청
12 
중 부 청
7 
광 주 청
6 
부 산 청
5 
대 전 청
4 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대 구 청
2nd row부 산 청
3rd row서 울 청
4th row광 주 청
5th row대 구 청

Common Values

ValueCountFrequency (%)
서 울 청 12
33.3%
중 부 청 7
19.4%
광 주 청 6
16.7%
부 산 청 5
13.9%
대 전 청 4
 
11.1%
대 구 청 2
 
5.6%

Length

2023-12-12T22:38:57.643539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:38:57.784832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
청 36
33.3%
서 12
 
11.1%
울 12
 
11.1%
부 12
 
11.1%
중 7
 
6.5%
광 6
 
5.6%
주 6
 
5.6%
대 6
 
5.6%
산 5
 
4.6%
전 4
 
3.7%

Interactions

2023-12-12T22:38:51.404763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:38:57.880009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번기관명지정유형최초지정일자최초지정서발급번호최근변경일자최근지정서발급번호직무교육종류주소명전화번호지정관서
연번1.0000.8290.3810.9260.7990.8290.4950.7840.8290.8570.000
기관명0.8291.0001.0000.9790.9401.0001.0000.9801.0001.0001.000
지정유형0.3811.0001.0001.0001.0001.0000.0000.0001.0001.0000.000
최초지정일자0.9260.9791.0001.0000.9280.9790.0000.9730.9790.9741.000
최초지정서발급번호0.7990.9401.0000.9281.0000.9400.9220.8600.9400.8840.000
최근변경일자0.8291.0001.0000.9790.9401.0001.0000.9801.0001.0001.000
최근지정서발급번호0.4951.0000.0000.0000.9221.0001.0000.9421.0000.9850.000
직무교육종류0.7840.9800.0000.9730.8600.9800.9421.0000.9800.9820.000
주소명0.8291.0001.0000.9790.9401.0001.0000.9801.0001.0001.000
전화번호0.8571.0001.0000.9740.8841.0000.9850.9821.0001.0000.936
지정관서0.0001.0000.0001.0000.0001.0000.0000.0001.0000.9361.000
2023-12-12T22:38:58.014191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정유형지정관서
지정유형1.0000.000
지정관서0.0001.000
2023-12-12T22:38:58.095124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번지정유형지정관서
연번1.0000.0000.105
지정유형0.0001.0000.000
지정관서0.1050.0001.000

Missing values

2023-12-12T22:38:51.537192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:38:51.711172image/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

연번기관종류기관명지정유형최초지정일자최초지정서발급번호최근변경일자최근지정서발급번호직무교육종류주소명전화번호지정관서
01직무교육기관(사)대한산업보건협회대구경북지역본부등록2020-03-262020-1900022023-01-252023-190001보건관리자(산업보건일반,산업위생,산업간호,작업환경의학)대구 달서구 성서공단로15길 40 (호림동) (19-15번지)053-592-4901대 구 청
12직무교육기관(사)대한산업보건협회부산경남지역본부등록2020-02-042020-1900012020-08-202020-190007보건관리자(산업보건일반,산업위생,산업간호,작업환경의학)부산 금정구 중앙대로 2139 (청룡동) (80-4)051-508-6088부 산 청
23직무교육기관(사)대한산업안전협회등록2016-12-262016-1900012021-04-142021-190004안전보건관리책임자,안전관리자(산업안전일반,제조,건설,기타산업)서울 구로구 공원로 70 (구로동) (23-1번지)02-860-7000서 울 청
34직무교육기관(사)대한산업안전협회광주지역본부등록2020-02-142020-1900012023-09-072023-190001안전보건관리책임자,안전관리자(산업안전일반,제조,건설,기타산업),안전보건관리담당자광주 광산구 무진대로 270 (우산동,2층)062-943-0156광 주 청
45직무교육기관(사)대한산업안전협회대구지역본부등록2020-04-012020-1900032023-07-172023-190002안전보건관리책임자,안전관리자(산업안전일반,제조,건설,기타산업),안전보건관리담당자대구 수성구 화랑로 150 4층 (만촌동, 동원빌딩) (1331-1번지 동원빌딩 4층)053-710-3101대 구 청
56직무교육기관(사)대한산업안전협회대전지역본부등록2020-03-162020-1900012022-03-242022-190001안전보건관리책임자,안전관리자(산업안전일반,제조,건설,기타산업),안전보건관리담당자대전광역시 유성구 테크노2로 199-0 (용산동) 미건테크노월드1차 308호 (533번지 308호)042-628-2160대 전 청
67직무교육기관(사)대한산업안전협회부산지역본부등록2020-02-102020-1900022023-01-192023-190001안전보건관리책임자,안전관리자(산업안전일반,제조,건설,기타산업),안전보건관리담당자부산 부산진구 전포대로199번길 15 현대타워오피스텔 8층 (전포동) (690-4번지 현대타워오피스텔 8층)051-804-5454부 산 청
78직무교육기관(사)대한산업안전협회충남서부지회등록2021-01-112021-1900012023-03-022023-190001안전관리자(산업안전일반,제조,건설,기타산업)충남 서산시 잠곡1로 19 (잠홍동) (575번지)041-669-1485대 전 청
89직무교육기관(사)한국안전관리사협회등록2023-01-112023-1900012023-01-112023-190001안전관리자(제조,건설,기타산업),재해예방전문기관의 종사자,안전관리전문기관의 종사자경기도 화성시 병점3로 12 (병점동) 2층 202호 (27-17,27-18)031-292-6261중 부 청
910직무교육기관(사)한국직업건강간호협회등록2017-04-172017-1900102020-08-252020-190010보건관리자(산업보건일반,산업위생,산업간호,작업환경의학),보건관리전문기관의 종사자서울 서초구 서초중앙로22길 122 (서초동)02-716-9030서 울 청
연번기관종류기관명지정유형최초지정일자최초지정서발급번호최근변경일자최근지정서발급번호직무교육종류주소명전화번호지정관서
2627직무교육기관사단법인한국안전교육기술원등록2022-12-012022-1900042022-12-012022-190004안전보건관리책임자,안전관리자(제조,건설,기타산업),안전보건관리담당자서울특별시 영등포구 경인로 706 (문래동1가, 한양빌딩) 2층02-2633-5454서 울 청
2728직무교육기관사단법인한국안전기술협회등록2016-12-292016-1900012022-01-062022-190001안전보건관리책임자,안전관리자(산업안전일반,제조)경기 안산시 단원구 동산로 76 9층 (원시동, 타원TAKRA2지식산업센타) (775-3번지 타원TAKRA2지식산업센타 9층)031-431-3122중 부 청
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