Overview

Dataset statistics

Number of variables5
Number of observations85
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.5 KiB
Average record size in memory42.6 B

Variable types

Numeric1
Text3
Categorical1

Dataset

Description경상남도 안전진단 전문기관 현황입니다.
Author경상남도
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3078783

Alerts

순번 has unique valuesUnique
업체명 has unique valuesUnique
소재지 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:37:12.195115
Analysis finished2023-12-11 00:37:12.778430
Duration0.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct85
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43
Minimum1
Maximum85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size897.0 B
2023-12-11T09:37:12.918493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.2
Q122
median43
Q364
95-th percentile80.8
Maximum85
Range84
Interquartile range (IQR)42

Descriptive statistics

Standard deviation24.681302
Coefficient of variation (CV)0.57398377
Kurtosis-1.2
Mean43
Median Absolute Deviation (MAD)21
Skewness0
Sum3655
Variance609.16667
MonotonicityStrictly increasing
2023-12-11T09:37:13.079754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.2%
55 1
 
1.2%
63 1
 
1.2%
62 1
 
1.2%
61 1
 
1.2%
60 1
 
1.2%
59 1
 
1.2%
58 1
 
1.2%
57 1
 
1.2%
56 1
 
1.2%
Other values (75) 75
88.2%
ValueCountFrequency (%)
1 1
1.2%
2 1
1.2%
3 1
1.2%
4 1
1.2%
5 1
1.2%
6 1
1.2%
7 1
1.2%
8 1
1.2%
9 1
1.2%
10 1
1.2%
ValueCountFrequency (%)
85 1
1.2%
84 1
1.2%
83 1
1.2%
82 1
1.2%
81 1
1.2%
80 1
1.2%
79 1
1.2%
78 1
1.2%
77 1
1.2%
76 1
1.2%

업체명
Text

UNIQUE 

Distinct85
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size812.0 B
2023-12-11T09:37:13.335121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length9.2941176
Min length4

Characters and Unicode

Total characters790
Distinct characters107
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique85 ?
Unique (%)100.0%

Sample

1st row(주)가설안전구조연구
2nd row(주)가온구조이엔지
3rd row(주)건설기술원
4th row(주)경성기술단
5th row(주)경원
ValueCountFrequency (%)
주식회사 15
 
15.0%
주)중앙안전엔지니어링 1
 
1.0%
성우구조안전연구소(주 1
 
1.0%
삼한건설안전(주 1
 
1.0%
보아스구조이앤씨(주 1
 
1.0%
동인구조기술(주 1
 
1.0%
다인건설엔지니어링(주 1
 
1.0%
주)회덕기술공사 1
 
1.0%
주)현진종합엔지니어링 1
 
1.0%
주)한올엔지니어링 1
 
1.0%
Other values (76) 76
76.0%
2023-12-11T09:37:13.761089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 87
 
11.0%
( 68
 
8.6%
) 68
 
8.6%
엔 31
 
3.9%
사 31
 
3.9%
지 29
 
3.7%
구 23
 
2.9%
이 21
 
2.7%
회 17
 
2.2%
조 17
 
2.2%
Other values (97) 398
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 639
80.9%
Open Punctuation 68
 
8.6%
Close Punctuation 68
 
8.6%
Space Separator 15
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 87
 
13.6%
엔 31
 
4.9%
사 31
 
4.9%
지 29
 
4.5%
구 23
 
3.6%
이 21
 
3.3%
회 17
 
2.7%
조 17
 
2.7%
링 17
 
2.7%
어 17
 
2.7%
Other values (94) 349
54.6%
Open Punctuation
ValueCountFrequency (%)
( 68
100.0%
Close Punctuation
ValueCountFrequency (%)
) 68
100.0%
Space Separator
ValueCountFrequency (%)
15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 639
80.9%
Common 151
 
19.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 87
 
13.6%
엔 31
 
4.9%
사 31
 
4.9%
지 29
 
4.5%
구 23
 
3.6%
이 21
 
3.3%
회 17
 
2.7%
조 17
 
2.7%
링 17
 
2.7%
어 17
 
2.7%
Other values (94) 349
54.6%
Common
ValueCountFrequency (%)
( 68
45.0%
) 68
45.0%
15
 
9.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 639
80.9%
ASCII 151
 
19.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 87
 
13.6%
엔 31
 
4.9%
사 31
 
4.9%
지 29
 
4.5%
구 23
 
3.6%
이 21
 
3.3%
회 17
 
2.7%
조 17
 
2.7%
링 17
 
2.7%
어 17
 
2.7%
Other values (94) 349
54.6%
ASCII
ValueCountFrequency (%)
( 68
45.0%
) 68
45.0%
15
 
9.9%

등록분야
Categorical

Distinct9
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Memory size812.0 B
건축
25 
교량/터널
23 
교량/터널,수리시설
19 
교량/터널,건축
5 
종합
5 
Other values (4)
8 

Length

Max length13
Median length10
Mean length5.7176471
Min length2

Unique

Unique2 ?
Unique (%)2.4%

Sample

1st row교량/터널,건축
2nd row건축
3rd row교량/터널,수리시설
4th row교량/터널
5th row교량/터널

Common Values

ValueCountFrequency (%)
건축 25
29.4%
교량/터널 23
27.1%
교량/터널,수리시설 19
22.4%
교량/터널,건축 5
 
5.9%
종합 5
 
5.9%
교량/터널,건축,수리시설 4
 
4.7%
수리시설 2
 
2.4%
교량/터널,항만 1
 
1.2%
교량/터널,항만,수리시설 1
 
1.2%

Length

2023-12-11T09:37:13.930347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:37:14.043007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건축 25
29.4%
교량/터널 23
27.1%
교량/터널,수리시설 19
22.4%
교량/터널,건축 5
 
5.9%
종합 5
 
5.9%
교량/터널,건축,수리시설 4
 
4.7%
수리시설 2
 
2.4%
교량/터널,항만 1
 
1.2%
교량/터널,항만,수리시설 1
 
1.2%

소재지
Text

UNIQUE 

Distinct85
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size812.0 B
2023-12-11T09:37:14.361047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length38
Mean length31.694118
Min length15

Characters and Unicode

Total characters2694
Distinct characters178
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

Unique85 ?
Unique (%)100.0%

Sample

1st row경상남도 진주시 진양호로 461, 2층 (인사동)
2nd row경상남도 양산시 동면 금오5길 76-3, 1층
3rd row경상남도 김해시 수가로 249(응달동)
4th row경상남도 산청군 신안면 원지로122번길 30-11
5th row경상남도 진주시 동부로169번길12,A동1102호(충무공동,윙스타워)
ValueCountFrequency (%)
경상남도 83
 
15.6%
창원시 34
 
6.4%
성산구 17
 
3.2%
양산시 16
 
3.0%
의창구 12
 
2.3%
김해시 12
 
2.3%
진주시 8
 
1.5%
물금읍 8
 
1.5%
2층 7
 
1.3%
밀양시 6
 
1.1%
Other values (249) 330
61.9%
2023-12-11T09:37:14.832717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
448
 
16.6%
1 104
 
3.9%
남 98
 
3.6%
상 97
 
3.6%
시 85
 
3.2%
경 85
 
3.2%
도 85
 
3.2%
동 83
 
3.1%
, 81
 
3.0%
0 75
 
2.8%
Other values (168) 1453
53.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1526
56.6%
Decimal Number 486
 
18.0%
Space Separator 448
 
16.6%
Other Punctuation 82
 
3.0%
Close Punctuation 64
 
2.4%
Open Punctuation 64
 
2.4%
Dash Punctuation 21
 
0.8%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 98
 
6.4%
상 97
 
6.4%
시 85
 
5.6%
경 85
 
5.6%
도 85
 
5.6%
동 83
 
5.4%
로 72
 
4.7%
호 59
 
3.9%
창 54
 
3.5%
산 47
 
3.1%
Other values (149) 761
49.9%
Decimal Number
ValueCountFrequency (%)
1 104
21.4%
0 75
15.4%
2 69
14.2%
3 53
10.9%
4 44
9.1%
5 40
 
8.2%
6 31
 
6.4%
7 31
 
6.4%
9 21
 
4.3%
8 18
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
S 1
33.3%
H 1
33.3%
A 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 81
98.8%
. 1
 
1.2%
Space Separator
ValueCountFrequency (%)
448
100.0%
Close Punctuation
ValueCountFrequency (%)
) 64
100.0%
Open Punctuation
ValueCountFrequency (%)
( 64
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1526
56.6%
Common 1165
43.2%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 98
 
6.4%
상 97
 
6.4%
시 85
 
5.6%
경 85
 
5.6%
도 85
 
5.6%
동 83
 
5.4%
로 72
 
4.7%
호 59
 
3.9%
창 54
 
3.5%
산 47
 
3.1%
Other values (149) 761
49.9%
Common
ValueCountFrequency (%)
448
38.5%
1 104
 
8.9%
, 81
 
7.0%
0 75
 
6.4%
2 69
 
5.9%
) 64
 
5.5%
( 64
 
5.5%
3 53
 
4.5%
4 44
 
3.8%
5 40
 
3.4%
Other values (6) 123
 
10.6%
Latin
ValueCountFrequency (%)
S 1
33.3%
H 1
33.3%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1526
56.6%
ASCII 1168
43.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
448
38.4%
1 104
 
8.9%
, 81
 
6.9%
0 75
 
6.4%
2 69
 
5.9%
) 64
 
5.5%
( 64
 
5.5%
3 53
 
4.5%
4 44
 
3.8%
5 40
 
3.4%
Other values (9) 126
 
10.8%
Hangul
ValueCountFrequency (%)
남 98
 
6.4%
상 97
 
6.4%
시 85
 
5.6%
경 85
 
5.6%
도 85
 
5.6%
동 83
 
5.4%
로 72
 
4.7%
호 59
 
3.9%
창 54
 
3.5%
산 47
 
3.1%
Other values (149) 761
49.9%

전화번호
Text

UNIQUE 

Distinct85
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size812.0 B
2023-12-11T09:37:15.149632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.035294
Min length11

Characters and Unicode

Total characters1023
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

Unique85 ?
Unique (%)100.0%

Sample

1st row055-745-6296
2nd row055-785-1470
3rd row055-285-0707
4th row055-972-5054
5th row055-754-1154
ValueCountFrequency (%)
055-745-6296 1
 
1.2%
055-224-1700 1
 
1.2%
055-904-2555 1
 
1.2%
055-756-3488 1
 
1.2%
055-366-7314 1
 
1.2%
070-4006-6861 1
 
1.2%
055-312-6441 1
 
1.2%
055-328-0172 1
 
1.2%
055-806-8686 1
 
1.2%
055-339-6066 1
 
1.2%
Other values (75) 75
88.2%
2023-12-11T09:37:15.573129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 195
19.1%
- 170
16.6%
0 168
16.4%
3 92
9.0%
2 85
8.3%
7 64
 
6.3%
1 63
 
6.2%
6 62
 
6.1%
8 50
 
4.9%
4 37
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 853
83.4%
Dash Punctuation 170
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 195
22.9%
0 168
19.7%
3 92
10.8%
2 85
10.0%
7 64
 
7.5%
1 63
 
7.4%
6 62
 
7.3%
8 50
 
5.9%
4 37
 
4.3%
9 37
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 170
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1023
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 195
19.1%
- 170
16.6%
0 168
16.4%
3 92
9.0%
2 85
8.3%
7 64
 
6.3%
1 63
 
6.2%
6 62
 
6.1%
8 50
 
4.9%
4 37
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1023
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 195
19.1%
- 170
16.6%
0 168
16.4%
3 92
9.0%
2 85
8.3%
7 64
 
6.3%
1 63
 
6.2%
6 62
 
6.1%
8 50
 
4.9%
4 37
 
3.6%

Interactions

2023-12-11T09:37:12.507363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:37:15.665095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번업체명등록분야소재지전화번호
순번1.0001.0000.0001.0001.000
업체명1.0001.0001.0001.0001.000
등록분야0.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.000
2023-12-11T09:37:15.778356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번등록분야
순번1.0000.000
등록분야0.0001.000

Missing values

2023-12-11T09:37:12.602110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:37:12.728989image/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

순번업체명등록분야소재지전화번호
01(주)가설안전구조연구교량/터널,건축경상남도 진주시 진양호로 461, 2층 (인사동)055-745-6296
12(주)가온구조이엔지건축경상남도 양산시 동면 금오5길 76-3, 1층055-785-1470
23(주)건설기술원교량/터널,수리시설경상남도 김해시 수가로 249(응달동)055-285-0707
34(주)경성기술단교량/터널경상남도 산청군 신안면 원지로122번길 30-11055-972-5054
45(주)경원교량/터널경상남도 진주시 동부로169번길12,A동1102호(충무공동,윙스타워)055-754-1154
56(주)경화엔지니어링교량/터널,수리시설경상남도 창원시 의창구 차룡로48번길 44, 제10층 에프1009호 (팔용동)055-263-9400
67(주)금강지오테크교량/터널경남 창원시 의창구 평산로185번길 28, 금강드림타운(서상동)055-237-4271
78(주)대영엔지니어링교량/터널,항만경상남도 창원시 성산구 중앙대로 56, 301-2호 (상남동)02-2050-7518
89(주)도건교량/터널경상남도 창원시 마산회원구 내서읍 유통단지로 26, 2층 202호055-252-1170
910(주)도양교량/터널경상남도 사천시 사천읍 사천대로 1996-7055-796-0111
순번업체명등록분야소재지전화번호
7576주식회사 엠에스엔지니어링건축경상남도 창원시 성산구 중앙대로100번길 14, 307 (상남동)070-5142-3398
7677주식회사 우진교량/터널,수리시설경상남도 진주시 초북로20번길 30-14, 성산빌딩 4층 (초전동)055-762-8900
7778주식회사 이도수리시설경상남도 밀양시 부북면 사포공단1길 7-1070-4048-7887
7879주식회사 태인교량/터널,수리시설경상남도 밀양시 교동로5길 6, 101동 205호 (교동)070-8670-0019
7980주식회사 태일종합건축사사무소종합경상남도 창원시 의창구 우곡로217번길 6, 11층1호 (명서동)055-237-2671
8081주식회사도감기술공사교량/터널경상남도 양산시 중앙로 40, 401호 (남부동)055-638-4200
8182주택관리공단(주)건축경상남도 진주시 사들로 137 (충무공동)055-923-3155
8283지엘테크(주)교량/터널,수리시설경상남도 창원시 마산회원구 봉암공단9길 26, 3층(봉암동)055-713-7180
8384케이에스엠기술(주)종합경상남도 창원시 성산구 완암로50,넥스동 509호(성산동, 에스케이테크노파크)031-420-8483
8485한국토지주택공사교량/터널,건축경상남도 진주시 충의로 19055-922-3935