Overview

Dataset statistics

Number of variables4
Number of observations34
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory36.9 B

Variable types

Numeric1
Text3

Dataset

Description부산광역시 금정구 소재 관내의 2022년 2월 기준 직업소개소 등록 현황 이며 상호명, 소재지 등을 포함하고 있습니다.
Author부산광역시 금정구
URLhttps://www.data.go.kr/data/15025655/fileData.do

Alerts

순번 has unique valuesUnique
법인명 has unique valuesUnique
사업소도로명주소 has unique valuesUnique
대표자명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 18:32:03.885605
Analysis finished2023-12-12 18:32:04.438286
Duration0.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.5
Minimum1
Maximum34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-13T03:32:04.539405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.65
Q19.25
median17.5
Q325.75
95-th percentile32.35
Maximum34
Range33
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation9.9582462
Coefficient of variation (CV)0.56904264
Kurtosis-1.2
Mean17.5
Median Absolute Deviation (MAD)8.5
Skewness0
Sum595
Variance99.166667
MonotonicityStrictly increasing
2023-12-13T03:32:04.719885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
1 1
 
2.9%
27 1
 
2.9%
21 1
 
2.9%
22 1
 
2.9%
23 1
 
2.9%
24 1
 
2.9%
25 1
 
2.9%
26 1
 
2.9%
28 1
 
2.9%
19 1
 
2.9%
Other values (24) 24
70.6%
ValueCountFrequency (%)
1 1
2.9%
2 1
2.9%
3 1
2.9%
4 1
2.9%
5 1
2.9%
6 1
2.9%
7 1
2.9%
8 1
2.9%
9 1
2.9%
10 1
2.9%
ValueCountFrequency (%)
34 1
2.9%
33 1
2.9%
32 1
2.9%
31 1
2.9%
30 1
2.9%
29 1
2.9%
28 1
2.9%
27 1
2.9%
26 1
2.9%
25 1
2.9%

법인명
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-13T03:32:04.997652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length5.8823529
Min length3

Characters and Unicode

Total characters200
Distinct characters91
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

Unique34 ?
Unique (%)100.0%

Sample

1st row패스파인더
2nd row봄날간병인협회
3rd row금정장애인자립생활센터
4th row개미인력
5th row경규개발
ValueCountFrequency (%)
패스파인더 1
 
2.6%
봄날간병인협회 1
 
2.6%
주)취업인 1
 
2.6%
사송인력 1
 
2.6%
조은인력개발 1
 
2.6%
주)헬퍼 1
 
2.6%
금정시니어클럽 1
 
2.6%
모든인력개발 1
 
2.6%
진성개발 1
 
2.6%
전진씨앤디 1
 
2.6%
Other values (29) 29
74.4%
2023-12-13T03:32:05.856820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 19
 
9.5%
개 15
 
7.5%
발 14
 
7.0%
력 14
 
7.0%
) 6
 
3.0%
( 6
 
3.0%
사 5
 
2.5%
주 5
 
2.5%
5
 
2.5%
간 4
 
2.0%
Other values (81) 107
53.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 183
91.5%
Close Punctuation 6
 
3.0%
Open Punctuation 6
 
3.0%
Space Separator 5
 
2.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 19
 
10.4%
개 15
 
8.2%
발 14
 
7.7%
력 14
 
7.7%
사 5
 
2.7%
주 5
 
2.7%
간 4
 
2.2%
회 4
 
2.2%
병 3
 
1.6%
경 3
 
1.6%
Other values (78) 97
53.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 183
91.5%
Common 17
 
8.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 19
 
10.4%
개 15
 
8.2%
발 14
 
7.7%
력 14
 
7.7%
사 5
 
2.7%
주 5
 
2.7%
간 4
 
2.2%
회 4
 
2.2%
병 3
 
1.6%
경 3
 
1.6%
Other values (78) 97
53.0%
Common
ValueCountFrequency (%)
) 6
35.3%
( 6
35.3%
5
29.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 183
91.5%
ASCII 17
 
8.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 19
 
10.4%
개 15
 
8.2%
발 14
 
7.7%
력 14
 
7.7%
사 5
 
2.7%
주 5
 
2.7%
간 4
 
2.2%
회 4
 
2.2%
병 3
 
1.6%
경 3
 
1.6%
Other values (78) 97
53.0%
ASCII
ValueCountFrequency (%)
) 6
35.3%
( 6
35.3%
5
29.4%

사업소도로명주소
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-13T03:32:06.154113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length31
Mean length28.147059
Min length22

Characters and Unicode

Total characters957
Distinct characters70
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)100.0%

Sample

1st row부산광역시 금정구 금정로 63-1. 3층 (장전동)
2nd row부산광역시 금정구 부곡로 47-1(부곡동)
3rd row부산광역시 금정구 중앙대로 1675. 2층 (부곡동)
4th row부산광역시 금정구 반송로 355. 3층 (서동)
5th row부산광역시 금정구 삼차로 37-2 (서동)
ValueCountFrequency (%)
부산광역시 34
17.5%
금정구 34
17.5%
부곡동 9
 
4.6%
2층 8
 
4.1%
3층 6
 
3.1%
장전동 5
 
2.6%
구서동 5
 
2.6%
중앙대로 5
 
2.6%
남산동 4
 
2.1%
금정로 4
 
2.1%
Other values (67) 80
41.2%
2023-12-13T03:32:06.635199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
160
 
16.7%
부 47
 
4.9%
금 46
 
4.8%
구 40
 
4.2%
시 39
 
4.1%
정 38
 
4.0%
산 38
 
4.0%
동 35
 
3.7%
역 34
 
3.6%
( 34
 
3.6%
Other values (60) 446
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 552
57.7%
Space Separator 160
 
16.7%
Decimal Number 145
 
15.2%
Open Punctuation 34
 
3.6%
Close Punctuation 34
 
3.6%
Other Punctuation 23
 
2.4%
Dash Punctuation 9
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 47
 
8.5%
금 46
 
8.3%
구 40
 
7.2%
시 39
 
7.1%
정 38
 
6.9%
산 38
 
6.9%
동 35
 
6.3%
역 34
 
6.2%
로 34
 
6.2%
광 34
 
6.2%
Other values (45) 167
30.3%
Decimal Number
ValueCountFrequency (%)
1 28
19.3%
2 27
18.6%
3 21
14.5%
5 14
9.7%
9 11
 
7.6%
0 10
 
6.9%
8 9
 
6.2%
6 9
 
6.2%
7 8
 
5.5%
4 8
 
5.5%
Space Separator
ValueCountFrequency (%)
160
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Other Punctuation
ValueCountFrequency (%)
. 23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 552
57.7%
Common 405
42.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 47
 
8.5%
금 46
 
8.3%
구 40
 
7.2%
시 39
 
7.1%
정 38
 
6.9%
산 38
 
6.9%
동 35
 
6.3%
역 34
 
6.2%
로 34
 
6.2%
광 34
 
6.2%
Other values (45) 167
30.3%
Common
ValueCountFrequency (%)
160
39.5%
( 34
 
8.4%
) 34
 
8.4%
1 28
 
6.9%
2 27
 
6.7%
. 23
 
5.7%
3 21
 
5.2%
5 14
 
3.5%
9 11
 
2.7%
0 10
 
2.5%
Other values (5) 43
 
10.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 552
57.7%
ASCII 405
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
160
39.5%
( 34
 
8.4%
) 34
 
8.4%
1 28
 
6.9%
2 27
 
6.7%
. 23
 
5.7%
3 21
 
5.2%
5 14
 
3.5%
9 11
 
2.7%
0 10
 
2.5%
Other values (5) 43
 
10.6%
Hangul
ValueCountFrequency (%)
부 47
 
8.5%
금 46
 
8.3%
구 40
 
7.2%
시 39
 
7.1%
정 38
 
6.9%
산 38
 
6.9%
동 35
 
6.3%
역 34
 
6.2%
로 34
 
6.2%
광 34
 
6.2%
Other values (45) 167
30.3%

대표자명
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-13T03:32:06.849067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters102
Distinct characters54
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)100.0%

Sample

1st row함정우
2nd row박인희
3rd row김호상
4th row최경동
5th row장희진
ValueCountFrequency (%)
함정우 1
 
2.9%
박인희 1
 
2.9%
김경숙 1
 
2.9%
우구섭 1
 
2.9%
강신창 1
 
2.9%
채종현 1
 
2.9%
김주석 1
 
2.9%
김미화 1
 
2.9%
김재호 1
 
2.9%
김영희 1
 
2.9%
Other values (24) 24
70.6%
2023-12-13T03:32:07.187816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 12
 
11.8%
희 7
 
6.9%
박 5
 
4.9%
호 4
 
3.9%
영 4
 
3.9%
정 4
 
3.9%
최 3
 
2.9%
대 3
 
2.9%
미 3
 
2.9%
경 3
 
2.9%
Other values (44) 54
52.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 102
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 12
 
11.8%
희 7
 
6.9%
박 5
 
4.9%
호 4
 
3.9%
영 4
 
3.9%
정 4
 
3.9%
최 3
 
2.9%
대 3
 
2.9%
미 3
 
2.9%
경 3
 
2.9%
Other values (44) 54
52.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 102
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 12
 
11.8%
희 7
 
6.9%
박 5
 
4.9%
호 4
 
3.9%
영 4
 
3.9%
정 4
 
3.9%
최 3
 
2.9%
대 3
 
2.9%
미 3
 
2.9%
경 3
 
2.9%
Other values (44) 54
52.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 102
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 12
 
11.8%
희 7
 
6.9%
박 5
 
4.9%
호 4
 
3.9%
영 4
 
3.9%
정 4
 
3.9%
최 3
 
2.9%
대 3
 
2.9%
미 3
 
2.9%
경 3
 
2.9%
Other values (44) 54
52.9%

Interactions

2023-12-13T03:32:04.149278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T03:32:07.284472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번법인명사업소도로명주소대표자명
순번1.0001.0001.0001.000
법인명1.0001.0001.0001.000
사업소도로명주소1.0001.0001.0001.000
대표자명1.0001.0001.0001.000

Missing values

2023-12-13T03:32:04.283615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:32:04.397035image/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

순번법인명사업소도로명주소대표자명
01패스파인더부산광역시 금정구 금정로 63-1. 3층 (장전동)함정우
12봄날간병인협회부산광역시 금정구 부곡로 47-1(부곡동)박인희
23금정장애인자립생활센터부산광역시 금정구 중앙대로 1675. 2층 (부곡동)김호상
34개미인력부산광역시 금정구 반송로 355. 3층 (서동)최경동
45경규개발부산광역시 금정구 삼차로 37-2 (서동)장희진
56우성인력부산광역시 금정구 오시게로 40. 지하 1층 (부곡동)이동훈
67부곡개발부산광역시 금정구 동현로16번길 92. 1층 (부곡동)백대인
78대한인력개발부산광역시 금정구 금정로 135 (장전동)최상미
89굿모닝 인력개발부산광역시 금정구 중앙대로 2112(청룡동)박원희
910사랑드림 간병회부산광역시 금정구 금강로565번길 19. 2층 (구서동)김영희
순번법인명사업소도로명주소대표자명
2425상생인력개발부산광역시 금정구 수림로50번길 202. 지하층 (구서동)최재은
2526공간인력개발부산광역시 금정구 노포사송로 123 (노포동)김봉미
2627전진씨앤디부산광역시 금정구 두실로23번길 28. 2층 (구서동)김재호
2728진성개발부산광역시 금정구 반송로 410. 2층 (금사동)김미화
2829모든인력개발부산광역시 금정구 금사로 90-1 (금사동)김주석
2930금정시니어클럽부산광역시 금정구 팔송로39번길 109 (남산동)채종현
3031(주)헬퍼부산광역시 금정구 오시게로28번길 19. 3층 (부곡동)강신창
3132조은인력개발부산광역시 금정구 서부곡로5번길 28 (부곡동)우구섭
3233사송인력부산광역시 금정구 오시게로58번길 1 (부곡동.2층)김경숙
3334화목개발부산광역시 금정구 오시게로 48-1 (부곡동)전완호