Overview

Dataset statistics

Number of variables6
Number of observations42
Missing cells17
Missing cells (%)6.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory52.0 B

Variable types

Numeric1
Categorical1
Text4

Dataset

Description부산광역시 수영구에 등록된 직업소개소 현황으로 등록직업소개소의 명칭, 등록직업소개소의 주소,등록직업소개소의 대표자 성명등의 자료를 제공합니다.
Author부산광역시 수영구
URLhttps://www.data.go.kr/data/3080439/fileData.do

Alerts

유무료구분 is highly imbalanced (72.4%)Imbalance
사업소전화번호 has 17 (40.5%) missing valuesMissing
순번 has unique valuesUnique
법인명 has unique valuesUnique
법인대표자명 has unique valuesUnique
사업소도로명주소 has unique valuesUnique

Reproduction

Analysis started2024-03-14 12:22:26.646315
Analysis finished2024-03-14 12:22:27.926052
Duration1.28 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.5
Minimum1
Maximum42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size506.0 B
2024-03-14T21:22:28.136104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.05
Q111.25
median21.5
Q331.75
95-th percentile39.95
Maximum42
Range41
Interquartile range (IQR)20.5

Descriptive statistics

Standard deviation12.267844
Coefficient of variation (CV)0.5705974
Kurtosis-1.2
Mean21.5
Median Absolute Deviation (MAD)10.5
Skewness0
Sum903
Variance150.5
MonotonicityStrictly increasing
2024-03-14T21:22:28.568761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
1 1
 
2.4%
33 1
 
2.4%
25 1
 
2.4%
26 1
 
2.4%
27 1
 
2.4%
28 1
 
2.4%
29 1
 
2.4%
30 1
 
2.4%
31 1
 
2.4%
32 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
1 1
2.4%
2 1
2.4%
3 1
2.4%
4 1
2.4%
5 1
2.4%
6 1
2.4%
7 1
2.4%
8 1
2.4%
9 1
2.4%
10 1
2.4%
ValueCountFrequency (%)
42 1
2.4%
41 1
2.4%
40 1
2.4%
39 1
2.4%
38 1
2.4%
37 1
2.4%
36 1
2.4%
35 1
2.4%
34 1
2.4%
33 1
2.4%

유무료구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size464.0 B
유료
40 
무료
 
2

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유료 40
95.2%
무료 2
 
4.8%

Length

2024-03-14T21:22:28.965463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T21:22:29.279495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 40
95.2%
무료 2
 
4.8%

법인명
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size464.0 B
2024-03-14T21:22:30.101368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length7.7619048
Min length2

Characters and Unicode

Total characters326
Distinct characters117
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)100.0%

Sample

1st row든든한 파출부 부산수영점
2nd row수영인력
3rd row지엠피 서비스 시스템
4th row퀸 직업소개소
5th row(주)실버그린 직업소개소
ValueCountFrequency (%)
직업소개소 5
 
8.3%
든든한 1
 
1.7%
패밀리개발 1
 
1.7%
korea 1
 
1.7%
부경가사원 1
 
1.7%
가람 1
 
1.7%
스피드직업소개소 1
 
1.7%
센텀인력개발 1
 
1.7%
대덕인력개발 1
 
1.7%
황소인력소개소 1
 
1.7%
Other values (46) 46
76.7%
2024-03-14T21:22:31.437066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 25
 
7.7%
개 20
 
6.1%
18
 
5.5%
인 15
 
4.6%
업 13
 
4.0%
력 11
 
3.4%
직 10
 
3.1%
발 8
 
2.5%
리 7
 
2.1%
주 6
 
1.8%
Other values (107) 193
59.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 287
88.0%
Space Separator 18
 
5.5%
Uppercase Letter 8
 
2.5%
Open Punctuation 6
 
1.8%
Close Punctuation 6
 
1.8%
Decimal Number 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 25
 
8.7%
개 20
 
7.0%
인 15
 
5.2%
업 13
 
4.5%
력 11
 
3.8%
직 10
 
3.5%
발 8
 
2.8%
리 7
 
2.4%
주 6
 
2.1%
사 6
 
2.1%
Other values (96) 166
57.8%
Uppercase Letter
ValueCountFrequency (%)
R 2
25.0%
A 1
12.5%
O 1
12.5%
E 1
12.5%
K 1
12.5%
I 1
12.5%
B 1
12.5%
Space Separator
ValueCountFrequency (%)
18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Decimal Number
ValueCountFrequency (%)
7 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 287
88.0%
Common 31
 
9.5%
Latin 8
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 25
 
8.7%
개 20
 
7.0%
인 15
 
5.2%
업 13
 
4.5%
력 11
 
3.8%
직 10
 
3.5%
발 8
 
2.8%
리 7
 
2.4%
주 6
 
2.1%
사 6
 
2.1%
Other values (96) 166
57.8%
Latin
ValueCountFrequency (%)
R 2
25.0%
A 1
12.5%
O 1
12.5%
E 1
12.5%
K 1
12.5%
I 1
12.5%
B 1
12.5%
Common
ValueCountFrequency (%)
18
58.1%
( 6
 
19.4%
) 6
 
19.4%
7 1
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 287
88.0%
ASCII 39
 
12.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 25
 
8.7%
개 20
 
7.0%
인 15
 
5.2%
업 13
 
4.5%
력 11
 
3.8%
직 10
 
3.5%
발 8
 
2.8%
리 7
 
2.4%
주 6
 
2.1%
사 6
 
2.1%
Other values (96) 166
57.8%
ASCII
ValueCountFrequency (%)
18
46.2%
( 6
 
15.4%
) 6
 
15.4%
R 2
 
5.1%
A 1
 
2.6%
O 1
 
2.6%
E 1
 
2.6%
K 1
 
2.6%
I 1
 
2.6%
7 1
 
2.6%

법인대표자명
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size464.0 B
2024-03-14T21:22:32.348401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters126
Distinct characters67
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

Unique42 ?
Unique (%)100.0%

Sample

1st row박채훈
2nd row고창국
3rd row박상준
4th row정유경
5th row한선심
ValueCountFrequency (%)
박채훈 1
 
2.4%
안성문 1
 
2.4%
김동진 1
 
2.4%
안상설 1
 
2.4%
조명탁 1
 
2.4%
이성환 1
 
2.4%
노동백 1
 
2.4%
김은아 1
 
2.4%
지정규 1
 
2.4%
김동운 1
 
2.4%
Other values (32) 32
76.2%
2024-03-14T21:22:33.619145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 6
 
4.8%
정 6
 
4.8%
성 5
 
4.0%
이 5
 
4.0%
한 4
 
3.2%
진 4
 
3.2%
미 4
 
3.2%
상 4
 
3.2%
우 3
 
2.4%
국 3
 
2.4%
Other values (57) 82
65.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 126
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 6
 
4.8%
정 6
 
4.8%
성 5
 
4.0%
이 5
 
4.0%
한 4
 
3.2%
진 4
 
3.2%
미 4
 
3.2%
상 4
 
3.2%
우 3
 
2.4%
국 3
 
2.4%
Other values (57) 82
65.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 126
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 6
 
4.8%
정 6
 
4.8%
성 5
 
4.0%
이 5
 
4.0%
한 4
 
3.2%
진 4
 
3.2%
미 4
 
3.2%
상 4
 
3.2%
우 3
 
2.4%
국 3
 
2.4%
Other values (57) 82
65.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 126
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 6
 
4.8%
정 6
 
4.8%
성 5
 
4.0%
이 5
 
4.0%
한 4
 
3.2%
진 4
 
3.2%
미 4
 
3.2%
상 4
 
3.2%
우 3
 
2.4%
국 3
 
2.4%
Other values (57) 82
65.1%

사업소전화번호
Text

MISSING 

Distinct25
Distinct (%)100.0%
Missing17
Missing (%)40.5%
Memory size464.0 B
2024-03-14T21:22:34.433473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters300
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

Unique25 ?
Unique (%)100.0%

Sample

1st row051-952-6164
2nd row051-995-8836
3rd row051-939-9111
4th row051-754-1558
5th row051-611-9520
ValueCountFrequency (%)
051-952-6164 1
 
4.0%
051-751-3634 1
 
4.0%
051-753-0003 1
 
4.0%
051-756-0692 1
 
4.0%
051-751-8941 1
 
4.0%
051-626-8899 1
 
4.0%
051-817-7777 1
 
4.0%
051-754-2168 1
 
4.0%
051-753-7944 1
 
4.0%
051-627-3744 1
 
4.0%
Other values (15) 15
60.0%
2024-03-14T21:22:35.596194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 50
16.7%
5 48
16.0%
1 40
13.3%
0 37
12.3%
7 33
11.0%
6 19
 
6.3%
8 19
 
6.3%
9 18
 
6.0%
4 14
 
4.7%
2 12
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 250
83.3%
Dash Punctuation 50
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 48
19.2%
1 40
16.0%
0 37
14.8%
7 33
13.2%
6 19
 
7.6%
8 19
 
7.6%
9 18
 
7.2%
4 14
 
5.6%
2 12
 
4.8%
3 10
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 300
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 50
16.7%
5 48
16.0%
1 40
13.3%
0 37
12.3%
7 33
11.0%
6 19
 
6.3%
8 19
 
6.3%
9 18
 
6.0%
4 14
 
4.7%
2 12
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 300
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 50
16.7%
5 48
16.0%
1 40
13.3%
0 37
12.3%
7 33
11.0%
6 19
 
6.3%
8 19
 
6.3%
9 18
 
6.0%
4 14
 
4.7%
2 12
 
4.0%

사업소도로명주소
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size464.0 B
2024-03-14T21:22:36.712816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length41.5
Mean length33.02381
Min length23

Characters and Unicode

Total characters1387
Distinct characters90
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

Unique42 ?
Unique (%)100.0%

Sample

1st row부산광역시 수영구 연수로 419. 4층 (수영동)
2nd row부산광역시 수영구 수영로 662. 501호 (광안동)
3rd row부산광역시 수영구 수영로 759. 알파오피스텔 307호 (수영동)
4th row부산광역시 수영구 장대골로 6. 201호 (광안동)
5th row부산광역시 수영구 수영로 532. 부성빌딩 6층 (광안동)
ValueCountFrequency (%)
부산광역시 42
 
15.2%
수영구 42
 
15.2%
광안동 18
 
6.5%
연수로 10
 
3.6%
수영로 10
 
3.6%
2층 9
 
3.3%
망미동 8
 
2.9%
수영동 8
 
2.9%
남천동 5
 
1.8%
202호 3
 
1.1%
Other values (100) 121
43.8%
2024-03-14T21:22:38.230859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
235
 
16.9%
수 80
 
5.8%
영 70
 
5.0%
광 64
 
4.6%
동 50
 
3.6%
. 45
 
3.2%
구 44
 
3.2%
부 43
 
3.1%
) 43
 
3.1%
( 43
 
3.1%
Other values (80) 670
48.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 788
56.8%
Space Separator 235
 
16.9%
Decimal Number 226
 
16.3%
Other Punctuation 45
 
3.2%
Close Punctuation 43
 
3.1%
Open Punctuation 43
 
3.1%
Dash Punctuation 6
 
0.4%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 80
 
10.2%
영 70
 
8.9%
광 64
 
8.1%
동 50
 
6.3%
구 44
 
5.6%
부 43
 
5.5%
산 43
 
5.5%
로 42
 
5.3%
시 42
 
5.3%
역 42
 
5.3%
Other values (64) 268
34.0%
Decimal Number
ValueCountFrequency (%)
2 38
16.8%
1 33
14.6%
0 27
11.9%
6 26
11.5%
5 23
10.2%
3 21
9.3%
4 19
8.4%
9 17
7.5%
8 12
 
5.3%
7 10
 
4.4%
Space Separator
ValueCountFrequency (%)
235
100.0%
Other Punctuation
ValueCountFrequency (%)
. 45
100.0%
Close Punctuation
ValueCountFrequency (%)
) 43
100.0%
Open Punctuation
ValueCountFrequency (%)
( 43
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 788
56.8%
Common 598
43.1%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 80
 
10.2%
영 70
 
8.9%
광 64
 
8.1%
동 50
 
6.3%
구 44
 
5.6%
부 43
 
5.5%
산 43
 
5.5%
로 42
 
5.3%
시 42
 
5.3%
역 42
 
5.3%
Other values (64) 268
34.0%
Common
ValueCountFrequency (%)
235
39.3%
. 45
 
7.5%
) 43
 
7.2%
( 43
 
7.2%
2 38
 
6.4%
1 33
 
5.5%
0 27
 
4.5%
6 26
 
4.3%
5 23
 
3.8%
3 21
 
3.5%
Other values (5) 64
 
10.7%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 788
56.8%
ASCII 599
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
235
39.2%
. 45
 
7.5%
) 43
 
7.2%
( 43
 
7.2%
2 38
 
6.3%
1 33
 
5.5%
0 27
 
4.5%
6 26
 
4.3%
5 23
 
3.8%
3 21
 
3.5%
Other values (6) 65
 
10.9%
Hangul
ValueCountFrequency (%)
수 80
 
10.2%
영 70
 
8.9%
광 64
 
8.1%
동 50
 
6.3%
구 44
 
5.6%
부 43
 
5.5%
산 43
 
5.5%
로 42
 
5.3%
시 42
 
5.3%
역 42
 
5.3%
Other values (64) 268
34.0%

Interactions

2024-03-14T21:22:27.116178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T21:22:38.496219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번유무료구분법인명법인대표자명사업소전화번호사업소도로명주소
순번1.0000.0001.0001.0001.0001.000
유무료구분0.0001.0001.0001.0001.0001.000
법인명1.0001.0001.0001.0001.0001.000
법인대표자명1.0001.0001.0001.0001.0001.000
사업소전화번호1.0001.0001.0001.0001.0001.000
사업소도로명주소1.0001.0001.0001.0001.0001.000
2024-03-14T21:22:38.764352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번유무료구분
순번1.0000.000
유무료구분0.0001.000

Missing values

2024-03-14T21:22:27.431783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T21:22:27.786630image/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

순번유무료구분법인명법인대표자명사업소전화번호사업소도로명주소
01유료든든한 파출부 부산수영점박채훈<NA>부산광역시 수영구 연수로 419. 4층 (수영동)
12유료수영인력고창국<NA>부산광역시 수영구 수영로 662. 501호 (광안동)
23유료지엠피 서비스 시스템박상준<NA>부산광역시 수영구 수영로 759. 알파오피스텔 307호 (수영동)
34유료퀸 직업소개소정유경<NA>부산광역시 수영구 장대골로 6. 201호 (광안동)
45유료(주)실버그린 직업소개소한선심051-952-6164부산광역시 수영구 수영로 532. 부성빌딩 6층 (광안동)
56유료오른에이치알심승욱051-995-8836부산광역시 수영구 연수로 385-1. 2층 (수영동)
67유료위드메디잡이성진051-939-9111부산광역시 수영구 금련로43번길 26. 현대한누리타운 202호 (망미동)
78유료경민 인력김창옥051-754-1558부산광역시 수영구 연수로 379. 3층 (수영동)
89유료코끼리환경산업 주식회사배상범051-611-9520부산광역시 수영구 남천동로9번길 61. 5층 501호 (남천동)
910유료제일간병인협회김광림<NA>부산광역시 수영구 연수로 271-1. 점포 5호 및 점포 12호 (망미동)
순번유무료구분법인명법인대표자명사업소전화번호사업소도로명주소
3233유료금줄 베이비시터코리아민숙미051-627-3744부산광역시 수영구 황령산로7번길 45. 201호 (남천동. 헤리티지 남천)
3334유료준간병사직업소개소조준우<NA>부산광역시 수영구 수영로618번길 4. 성우이린타워 401호 (광안동)
3435유료멜론 직업소개소손호준051-753-7944부산광역시 수영구 감포로102번길 5. 3층 (광안동)
3536유료연합개발 직업소개소이미연051-754-2168부산광역시 수영구 수영로 691-7 (수영동)
3637무료(사)한국인재뱅크 무료직업소개소위국환051-817-7777부산광역시 수영구 연수로 376. 2층 (광안동)
3738유료(주)포런 리쿠르트정연수051-626-8899부산광역시 수영구 황령대로489번길 10. 대성상가 2동 202호 (남천동)
3839유료순풍직업소개소허길호051-751-8941부산광역시 수영구 수영로 592. 308호 (광안동.누구나빌딩)
3940유료소망간병회염수연051-756-0692부산광역시 수영구 수영로 523. 2층 (광안동)
4041유료스피드직업소개소김동진051-753-0003부산광역시 수영구 연수로369번길 4 (수영동.(2층))
4142유료알바친구(주)우진석051-757-3647부산광역시 수영구 수영로 736. 301호 (광안동.유성빌딩)