Overview

Dataset statistics

Number of variables5
Number of observations171
Missing cells52
Missing cells (%)6.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.8 KiB
Average record size in memory40.8 B

Variable types

Categorical2
Text3

Dataset

Description한국산업안전보건공단에서 실시하는 건설재해예방전문지도기관에 대한 평가 결과가 제공되는 목록으로 재해예방기관명, 대표자명, 등급의 내용이 나와있습니다.
URLhttps://www.data.go.kr/data/15092503/fileData.do

Alerts

전화번호 has 52 (30.4%) missing valuesMissing
주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:45:57.569268
Analysis finished2023-12-12 09:45:58.085162
Duration0.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지정관서
Categorical

Distinct6
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
중부청
64 
광주청
29 
부산청
25 
대전청
19 
서울청
18 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울청
2nd row광주청
3rd row대구청
4th row대전청
5th row중부청

Common Values

ValueCountFrequency (%)
중부청 64
37.4%
광주청 29
17.0%
부산청 25
 
14.6%
대전청 19
 
11.1%
서울청 18
 
10.5%
대구청 16
 
9.4%

Length

2023-12-12T18:45:58.163718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:45:58.311946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중부청 64
37.4%
광주청 29
17.0%
부산청 25
 
14.6%
대전청 19
 
11.1%
서울청 18
 
10.5%
대구청 16
 
9.4%

기관명
Text

Distinct167
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T18:45:58.568446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length9.8596491
Min length5

Characters and Unicode

Total characters1686
Distinct characters147
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique163 ?
Unique (%)95.3%

Sample

1st row(사)국민안전진흥협회
2nd row(사)대한산업안전협회 광주지역본부
3rd row(사)대한산업안전협회 대구지역본부
4th row(사)대한산업안전협회 대전지역본부
5th row(사)대한산업안전협회 중부지역본부
ValueCountFrequency (%)
안전기술원 5
 
2.5%
사)대한산업안전협회 5
 
2.5%
주식회사 5
 
2.5%
한국전기공사협회 3
 
1.5%
대한종합안전㈜ 2
 
1.0%
㈜한국정보통신공사협회안전기술원 2
 
1.0%
사무소 2
 
1.0%
지도사사무소 2
 
1.0%
제일건설안전기술㈜ 2
 
1.0%
대한건설안전기술원 2
 
1.0%
Other values (167) 170
85.0%
2023-12-12T18:45:59.078318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
전 162
 
9.6%
안 155
 
9.2%
㈜ 85
 
5.0%
사 78
 
4.6%
기 64
 
3.8%
원 62
 
3.7%
설 62
 
3.7%
한 58
 
3.4%
술 58
 
3.4%
건 51
 
3.0%
Other values (137) 851
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1529
90.7%
Other Symbol 85
 
5.0%
Space Separator 30
 
1.8%
Open Punctuation 17
 
1.0%
Close Punctuation 17
 
1.0%
Uppercase Letter 6
 
0.4%
Decimal Number 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 162
 
10.6%
안 155
 
10.1%
사 78
 
5.1%
기 64
 
4.2%
원 62
 
4.1%
설 62
 
4.1%
한 58
 
3.8%
술 58
 
3.8%
건 51
 
3.3%
회 41
 
2.7%
Other values (125) 738
48.3%
Uppercase Letter
ValueCountFrequency (%)
N 1
16.7%
K 1
16.7%
B 1
16.7%
Y 1
16.7%
H 1
16.7%
U 1
16.7%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Other Symbol
ValueCountFrequency (%)
㈜ 85
100.0%
Space Separator
ValueCountFrequency (%)
30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1614
95.7%
Common 66
 
3.9%
Latin 6
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 162
 
10.0%
안 155
 
9.6%
㈜ 85
 
5.3%
사 78
 
4.8%
기 64
 
4.0%
원 62
 
3.8%
설 62
 
3.8%
한 58
 
3.6%
술 58
 
3.6%
건 51
 
3.2%
Other values (126) 779
48.3%
Latin
ValueCountFrequency (%)
N 1
16.7%
K 1
16.7%
B 1
16.7%
Y 1
16.7%
H 1
16.7%
U 1
16.7%
Common
ValueCountFrequency (%)
30
45.5%
( 17
25.8%
) 17
25.8%
2 1
 
1.5%
1 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1529
90.7%
None 85
 
5.0%
ASCII 72
 
4.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
전 162
 
10.6%
안 155
 
10.1%
사 78
 
5.1%
기 64
 
4.2%
원 62
 
4.1%
설 62
 
4.1%
한 58
 
3.8%
술 58
 
3.8%
건 51
 
3.3%
회 41
 
2.7%
Other values (125) 738
48.3%
None
ValueCountFrequency (%)
㈜ 85
100.0%
ASCII
ValueCountFrequency (%)
30
41.7%
( 17
23.6%
) 17
23.6%
N 1
 
1.4%
K 1
 
1.4%
B 1
 
1.4%
Y 1
 
1.4%
H 1
 
1.4%
2 1
 
1.4%
1 1
 
1.4%

주소
Text

UNIQUE 

Distinct171
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T18:45:59.431030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length37
Mean length24.859649
Min length12

Characters and Unicode

Total characters4251
Distinct characters255
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

Unique171 ?
Unique (%)100.0%

Sample

1st row서울특별시 송파구 송이로 101, 5층
2nd row광주광역시 광산구 무진대로 270, 2층
3rd row대구광역시 수성구 화랑로 150 4F
4th row((34025)대전광역시 유성구 테크노2로 199 미건테크노월드 1차 308호)
5th row인천광역시 부평구 부평대로 301, 남광센트렉스 817호
ValueCountFrequency (%)
경기도 26
 
2.9%
북구 13
 
1.5%
대구광역시 11
 
1.2%
광주광역시 10
 
1.1%
3층 10
 
1.1%
경남 8
 
0.9%
2층 8
 
0.9%
서울 8
 
0.9%
강원도 8
 
0.9%
유성구 8
 
0.9%
Other values (571) 776
87.6%
2023-12-12T18:45:59.976707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
723
 
17.0%
1 201
 
4.7%
시 157
 
3.7%
로 154
 
3.6%
2 141
 
3.3%
구 136
 
3.2%
0 117
 
2.8%
, 114
 
2.7%
5 92
 
2.2%
3 92
 
2.2%
Other values (245) 2324
54.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2336
55.0%
Decimal Number 930
 
21.9%
Space Separator 723
 
17.0%
Other Punctuation 114
 
2.7%
Close Punctuation 47
 
1.1%
Open Punctuation 47
 
1.1%
Dash Punctuation 41
 
1.0%
Uppercase Letter 11
 
0.3%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 157
 
6.7%
로 154
 
6.6%
구 136
 
5.8%
동 90
 
3.9%
길 77
 
3.3%
호 76
 
3.3%
대 70
 
3.0%
광 62
 
2.7%
주 55
 
2.4%
층 53
 
2.3%
Other values (223) 1406
60.2%
Decimal Number
ValueCountFrequency (%)
1 201
21.6%
2 141
15.2%
0 117
12.6%
5 92
9.9%
3 92
9.9%
4 72
 
7.7%
6 67
 
7.2%
8 52
 
5.6%
7 49
 
5.3%
9 47
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
B 5
45.5%
S 2
 
18.2%
H 2
 
18.2%
D 1
 
9.1%
F 1
 
9.1%
Lowercase Letter
ValueCountFrequency (%)
t 1
50.0%
k 1
50.0%
Space Separator
ValueCountFrequency (%)
723
100.0%
Other Punctuation
ValueCountFrequency (%)
, 114
100.0%
Close Punctuation
ValueCountFrequency (%)
) 47
100.0%
Open Punctuation
ValueCountFrequency (%)
( 47
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2336
55.0%
Common 1902
44.7%
Latin 13
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 157
 
6.7%
로 154
 
6.6%
구 136
 
5.8%
동 90
 
3.9%
길 77
 
3.3%
호 76
 
3.3%
대 70
 
3.0%
광 62
 
2.7%
주 55
 
2.4%
층 53
 
2.3%
Other values (223) 1406
60.2%
Common
ValueCountFrequency (%)
723
38.0%
1 201
 
10.6%
2 141
 
7.4%
0 117
 
6.2%
, 114
 
6.0%
5 92
 
4.8%
3 92
 
4.8%
4 72
 
3.8%
6 67
 
3.5%
8 52
 
2.7%
Other values (5) 231
 
12.1%
Latin
ValueCountFrequency (%)
B 5
38.5%
S 2
 
15.4%
H 2
 
15.4%
D 1
 
7.7%
F 1
 
7.7%
t 1
 
7.7%
k 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2336
55.0%
ASCII 1915
45.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
723
37.8%
1 201
 
10.5%
2 141
 
7.4%
0 117
 
6.1%
, 114
 
6.0%
5 92
 
4.8%
3 92
 
4.8%
4 72
 
3.8%
6 67
 
3.5%
8 52
 
2.7%
Other values (12) 244
 
12.7%
Hangul
ValueCountFrequency (%)
시 157
 
6.7%
로 154
 
6.6%
구 136
 
5.8%
동 90
 
3.9%
길 77
 
3.3%
호 76
 
3.3%
대 70
 
3.0%
광 62
 
2.7%
주 55
 
2.4%
층 53
 
2.3%
Other values (223) 1406
60.2%

전화번호
Text

MISSING 

Distinct119
Distinct (%)100.0%
Missing52
Missing (%)30.4%
Memory size1.5 KiB
2023-12-12T18:46:00.289866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.97479
Min length11

Characters and Unicode

Total characters1425
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique119 ?
Unique (%)100.0%

Sample

1st row02-407-2070
2nd row062-943-0156
3rd row053-710-3100
4th row042-628-2160
5th row032-363-3300
ValueCountFrequency (%)
02-407-2070 1
 
0.8%
053-710-3100 1
 
0.8%
053-766-7730 1
 
0.8%
031-313-8802 1
 
0.8%
051-804-5454 1
 
0.8%
031-773-0486 1
 
0.8%
02-3296-0405 1
 
0.8%
061-383-0801 1
 
0.8%
043-291-0567 1
 
0.8%
02-876-3935 1
 
0.8%
Other values (110) 110
91.7%
2023-12-12T18:46:00.774795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 238
16.7%
0 216
15.2%
3 170
11.9%
1 135
9.5%
2 128
9.0%
7 106
7.4%
5 95
 
6.7%
4 93
 
6.5%
6 89
 
6.2%
8 79
 
5.5%
Other values (3) 76
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1185
83.2%
Dash Punctuation 238
 
16.7%
Math Symbol 1
 
0.1%
Space Separator 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 216
18.2%
3 170
14.3%
1 135
11.4%
2 128
10.8%
7 106
8.9%
5 95
8.0%
4 93
7.8%
6 89
7.5%
8 79
 
6.7%
9 74
 
6.2%
Dash Punctuation
ValueCountFrequency (%)
- 238
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1425
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 238
16.7%
0 216
15.2%
3 170
11.9%
1 135
9.5%
2 128
9.0%
7 106
7.4%
5 95
 
6.7%
4 93
 
6.5%
6 89
 
6.2%
8 79
 
5.5%
Other values (3) 76
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1425
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 238
16.7%
0 216
15.2%
3 170
11.9%
1 135
9.5%
2 128
9.0%
7 106
7.4%
5 95
 
6.7%
4 93
 
6.5%
6 89
 
6.2%
8 79
 
5.5%
Other values (3) 76
 
5.3%

평가등급
Categorical

Distinct5
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
A
64 
B
50 
S
21 
C
21 
D
15 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowB
2nd rowA
3rd rowB
4th rowA
5th rowS

Common Values

ValueCountFrequency (%)
A 64
37.4%
B 50
29.2%
S 21
 
12.3%
C 21
 
12.3%
D 15
 
8.8%

Length

2023-12-12T18:46:00.933107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:46:01.072005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
a 64
37.4%
b 50
29.2%
s 21
 
12.3%
c 21
 
12.3%
d 15
 
8.8%

Correlations

2023-12-12T18:46:01.161703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정관서평가등급
지정관서1.0000.132
평가등급0.1321.000
2023-12-12T18:46:01.263402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
평가등급지정관서
평가등급1.0000.088
지정관서0.0881.000
2023-12-12T18:46:01.349435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정관서평가등급
지정관서1.0000.088
평가등급0.0881.000

Missing values

2023-12-12T18:45:57.921487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:45:58.041428image/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

지정관서기관명주소전화번호평가등급
0서울청(사)국민안전진흥협회서울특별시 송파구 송이로 101, 5층02-407-2070B
1광주청(사)대한산업안전협회 광주지역본부광주광역시 광산구 무진대로 270, 2층062-943-0156A
2대구청(사)대한산업안전협회 대구지역본부대구광역시 수성구 화랑로 150 4F053-710-3100B
3대전청(사)대한산업안전협회 대전지역본부((34025)대전광역시 유성구 테크노2로 199 미건테크노월드 1차 308호)042-628-2160A
4중부청(사)대한산업안전협회 중부지역본부인천광역시 부평구 부평대로 301, 남광센트렉스 817호032-363-3300S
5중부청㈜한국건설안전협회 경인지회경기도 성남시 수정구 수정로 73번길 19, 6층031-226-6182B
6광주청(유)현대건설안전연구소전북 전주시 완산구 마전로 13 (3층)063-226-5512A
7대전청㈜건설안전지원센터충청북도 청주시 서원구 대림로421번길 19, 1층(죽림동)043-236-9111A
8중부청㈜고려건설안전기술단의정부시 범골로 102031-837-0424C
9대전청㈜금강건설안전공사대전시 유성구 대학로 31 1402호<NA>A
지정관서기관명주소전화번호평가등급
161대전청한국휴먼안전기술원주식회사충청남도 천안시 동남구 신촌로 24, 5층 5006-씨호(신방동)041-578-2800A
162대전청더안전기술단주식회사세종특별자치시 법원2로 18, 5층 501호(소담동)044-864-5789B
163부산청제일안전지도사사무소부산광역시 사하구 하신번영로 365, 146동 204호<NA>A
164부산청김영건설안전기술원경남 양산시 북정서길 22, 상가동 201호<NA>B
165대전청주식회사성심안전지도원대전광역시 동구 옥천로 190, 2층(판암동)042-721-2110A
166부산청한국안전원주식회사부산광역시 북구 백양대로 1003, 상가동 3층 305호(구포동, 구포현대아파트)051-316-5678B
167광주청새움건설안전기술원전북 전주시 완산구 인정1길13063-903-0330C
168광주청주식회사제이건설안전연구원광주광역시 북구 설죽로 620, 1층 2호(일곡동)0707-857-0479C
169중부청중앙건설안전㈜수원시 세화로154번길 7-10, 103동 1003호031-291-1471D
170대전청건설안전기술㈜대전광역시 유성구 문화원로37번길 22, 2층(궁동, 계룡빌딩)<NA>C